11 April 2025

Gen Z mobility

Mobile marketing is having an increasing influence on the purchasing decisions of Generation Z in Poland, according to International Journal of Economic Policy in Emerging Economies. Gen Z, or Generation Z, is the demographic born between 1997 and 2012 and usually considered the offspring of Generation X (those born between 1965 and 1980 and themselves generally speaking the children of the Baby Boomer generation (born 1946 to 1964).

Bogdan Mróz of Warsaw School of Economics SGH and Barbara Grabiwoda of Publicis Commerce Poland in Warszawa, Poland, explain that Gen Z represents a group of young consumers whose lives are deeply integrated with digital technology. Their research, which combines an extensive review of existing literature with empirical statistical analysis, provides insights into how mobile devices are shaping the way in which this demographic interacts with brands and makes choices about what products and services on which it wishes to spend its money.

For Gen Z, typically smartphones, tablets, and other mobile devices are not just tools for communication but an essential part of daily life. Those tools are essential for other generations too, but Gen Z has never known a time without them, broadly speaking.

According to the current study, more than half of this demographic actively engages with mobile marketing communications, and a large proportion has a positive attitude toward brands that connect with them through the various digital platforms and social media. Indeed, the study reveals a clear trend: the more branded content Gen Z encounters on mobile devices, the more positive is their view of the companies involved.

For Gen Z, this great affinity for mobile technology has blurred the lines between the physical and digital worlds. Unlike previous generations, mobile devices seem intrinsically wired into their lives and even identity, playing a central role not only in social interactions but also in their shopping habits. For many, mobile platforms and social media represent essential spaces for discovering new products and brands. As such, the various platforms are pivotal for marketers seeking to engage with Gen Z.

The research suggests that conventional advertising on old-school media, such as print, TV, and radio, are becoming less effective at reaching this audience and many Gen Z individuals may never see or hear anything from the traditional media. For businesses, this shift in consumer behaviour means they need to adapt to the ongoing changes if they are to survive. Companies must be proactive in rethinking their marketing strategies to cater to the preferences and expectations of Gen Z.

Mróz, B. and Grabiwoda, B. (2025) ‘Generation Z: the new mobile consumers. Empirical evidence from Poland’, Int. J. Economic Policy in Emerging Economies, Vol. 21, No. 1, pp.1–20.

10 April 2025

Default business in Kuwait

Research from Kuwait, published in the International Journal of Public Sector Performance Management, has looked at the financial challenges faced by small and medium-sized enterprises (SMEs) there. Economic disruption and the post-pandemic environment have increased the risk of financial default among such businesses. Kuwait is among the richest nations, but its dependence on oil exports has made its economy highly vulnerable to global shifts, and SMEs have had to bear much of the burden.

Financial default, a situation in which businesses are unable to meet their debt obligations, is a growing concern for SMEs in Kuwait. The research, based on interviews with numerous SME managers, has identified several factors that have contributed to the financial instability of these businesses. The economic fallout from the COVID-19 pandemic, disruptions to daily operations, and changes in consumer behaviour were among the most significant factors, the researchers found.

In the wake of these crises, many SMEs found it difficult to access funding from traditional sources such as banks, which typically offer loans to support business operations. This lack of access to funding has left many companies with limited resources to adapt or recover. The researchers suggest that their findings point to a need for SMEs to adopt better financial management practices in order to mitigate the risk of default in future crises. SMEs in Kuwait, the research suggests, need to place greater emphasis on sound financial practices like budgeting, cost management, and cash flow forecasting. They say that by improving these areas, businesses may be better equipped to handle unexpected challenges.

Additionally, there is a need for businesses to explore alternative funding methods such as crowdfunding and angel investments rather than relying on bank loans. Of course, those approaches may not be appropriate for every kind of SME.

These findings also point to a need for increased government support and regulatory reform. The research suggests that greater transparency, regulatory simplification, and stronger public-private partnerships could help create a more stable financial environment for SMEs in Kuwait.

Alhaimer, R., Alshami, A., Alkhaldi, A., Alsadeeqi, A., Aloumi, D. and Malik, S. (2025) ‘Evaluating public policy interventions in mitigating financial default risk among SMEs‘, Int. J. Public Sector Performance Management, Vol. 15, No. 5, pp.1-18.

9 April 2025

Free sample articles newly available from International Journal of Mining and Mineral Engineering

The following sample articles from the International Journal of Mining and Mineral Engineering are now available here for free:
  • Comparative analysis of discounted cash flow and real options techniques on a gold mining project
  • Segregation of rock properties using machine learning algorithm with Euclidean distance
  • Mechanism study on the sandstone roof caving characteristics for improving the preconditioning measures to mitigate the windblast risk in coal mines
  • Towards application of positioning systems in the mining industry
  • A review on stability analysis of coal mine dumps

Free Open Access article available: "Evaluating public policy interventions in mitigating financial default risk among SMEs"

The following paper, "Evaluating public policy interventions in mitigating financial default risk among SMEs" (International Journal of Public Sector Performance Management 15(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.


Women cooking up business in Indonesia

Research in the International Journal of Entrepreneurship and Small Business has identified the ingredients that lead to financial success among women-owned small-scale culinary businesses in Riau, Indonesia. The research used a combination of theoretical frameworks to shed light on how women entrepreneurs in this sector can overcome significant challenges to achieve greater financial stability and growth.

Okta Karneli, Harlen, and Yusni Maulida of the Universitas Riau, and Muammar Revnu Ohara of the Universitas Lancang Kuning, also in Riau, and Pratiwi Dwi Suhartanti of the Institut Bisnis dan Teknologi Kalimantan in South Kalimantan, Indonesia, explain that women are playing an increasingly important role in Indonesia’s local economy. Understanding the recipe for their success is important to understanding the sector and how others might grow their businesses within it.

Women entrepreneurs in Indonesia’s culinary sector face various many barriers, such as limited access to financial resources, insufficient education in financial management skills, and difficulties scaling operations. The researchers surveyed 355 women running business in the sector in Riau to understand how entrepreneurial orientation, adaptive capacity, and social networks might improve the bottom line for such businesses.

One of the key findings of the study is the strong link between entrepreneurial orientation and financial success. Innovative women willing to take risks and working proactivity within the sector proved to the be most successful, as one might expect. The entrepreneurs displaying these characteristics were better positioned to seize new opportunities, expand their market reach, and improve financial performance. The finding suggests that cultivating an entrepreneurial mindset is important to success for business operating in this dynamic sector.

The research also revealed that adaptive capacity is important. Businesses that could adjust to changing market conditions were generally more successful and could sustain long-term profitability. In the face of changing consumer tastes and economic uncertainties, being adaptable is critical to success. Finally, the team found that social networks – connections with suppliers, customers, and other entrepreneurs – helps provide the underlying support, resources, and information need to help businesses thrive.

Karneli, O., Harlen, Maulida, Y., Ohara, M.R. and Suhartanti, P.D. (2025) ‘Women entrepreneurs in Indonesia’s culinary sector: a study on entrepreneurial orientation and financial capability’, Int. J. Entrepreneurship and Small Business, Vol. 55, No. 5, pp.1–28.

Free sample articles newly available from International Journal of Vehicle Systems Modelling and Testing

The following sample articles from the International Journal of Vehicle Systems Modelling and Testing are now available here for free:
  • Finite element modelling and simulation of car bonnet's crashworthiness parameters for pedestrian safety
  • Modelling and simulation of an autonomous vehicle based on Alexnet for traffic sign recognition
  • Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification
  • Design and development of a Formula Student electric racecar's control system

8 April 2025

Free sample articles newly available from International Journal of Web Engineering and Technology

The following sample articles from the International Journal of Web Engineering and Technology are now available here for free:
  • Performance evaluation of higher education management under the background of knowledge management
  • A distributed framework for distributed denial-of-service attack detection in internet of things environments using deep learning
  • PR-MQTT: a novel approach for traffic reduction and message prioritisation in IoT applications
  • Deep learning-based task scheduling in edge computing
  • Application of improved K-means algorithm in the cultivation of creative music talents under the needs of sustainable development and transformation

Free Open Access article available: "Women entrepreneurs in Indonesia's culinary sector: a study on entrepreneurial orientation and financial capability"

The following paper, "Women entrepreneurs in Indonesia's culinary sector: a study on entrepreneurial orientation and financial capability" (International Journal of Entrepreneurship and Small Business 55(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Tucking into tuk tuk data - "Developing an app proposal for tuk tuk service management"

In Lisbon’s busy streets, tuk tuk companies have been slow to adapt to the digital age. Many rely on what researchers consider outdated and error-prone manual processes for managing their fleets of tourist transport vehicles. Research in the International Journal of Business Information Systems could help them navigate their way to a more efficient and effective future.

Eduarda Perdigão and Bráulio Alturas of the Instituto Universitário de Lisboa, in Lisbon, Portugal, have focused on how a tailored information system that could transform the daily management of companies such as Citytuk, one of the popular guided tour services in Lisbon

Previously, tuk tuk companies relied on drivers to fill out daily service sheets by hand. This data was then transcribed manually into a central system by managers. Such an approach is inherently slow and prone to mistakes. For a growing business in the competitive tourism sector, such inefficiencies are not sustainable, the team suggests. The researchers have now identified an opportunity to enhance productivity and improve decision-making by replacing the manual process with a more streamlined, automated system.

The result of this research is Tuksy, a new application designed to simplify and modernize tuk tuk operations. Tuksy consists of two components: a mobile app for drivers to input service data directly, and a desktop app for managers to track and analyse that data in real-time. This digital solution eliminates the need for paper records, so reduces errors and frees up valuable time for both drivers and managers.

The system represents more than just a solution for one company’s operational challenges, it represents a model for how other small businesses in the tourism sector might embrace technology and boost their efficiency.

Perdigão, E. and Alturas, B. (2025) ‘Developing an app proposal for tuk tuk service management’, Int. J. Business Information Systems, Vol. 48, No. 4, pp.433–451.

Free sample articles newly available from International Journal of Technology, Policy and Management

The following sample articles from the International Journal of Technology, Policy and Management are now available here for free:
  • Exploring green brand equity for millennials: an SEM-ANN analysis of green brand knowledge, environmental attitude, and green brand image
  • Challenges in online collaboration to augment Industry 4.0
  • The role of need-supportive advertisement appeals in bringing defunct brands back to life: a basic psychological needs theory perspective
  • Critical factors inhibiting information and communication technology (ICT) adoption in Côte d'Ivoire: a study of small and medium enterprises (SMEs) in metropolitan Abidjan
  • How greenwashing influences formal and informal institutional benefits in China

7 April 2025

Free sample articles newly available from International Journal of Services Technology and Management

The following sample articles from the International Journal of Services Technology and Management are now available here for free:
  • Entrepreneurial mindset dimensions and entrepreneurial performance of female-owned enterprises: the mediating role of personal wealth
  • An improved hybrid (HHO-FFO) algorithm for healthcare and secure data transmission
  • Exploring the linkages between entrepreneurship, governance, and economic growth: a longitudinal context-based study
  • Behavioural supply chain management: evolving human frontiers in supply chains with bibliometric analysis
  • Demographics and fashion brand experience: emerging economy perspective
  • The role of trust on enhancing buying intentions in online food delivery: findings from a developing country
  • The sharing economy as an anti-crisis tool for regional development: the experience of Russia and the European Union countries
  • Capability development as a driver of organisational agility in the information technology sector: the mediating role of IT ambidexterity
  • Unlocking supplier development: a comprehensive analysis of interrelationships and strategies for enhanced performance
  • Sustainable garment manufacturing enterprises in China: the mediating role of business sustainability towards competitive advantage
  • Simulation modelling for retail self-checkouts: performance analysis and optimisation

Research pick: Shaping up, virtually - "The application of VR-based fine motion capture algorithm in college aerobics training"

Virtual reality (VR) has steadily become a key tool in sports training, offering immersive environments that simulate real-world physical exercises. However, its application in aerobics training has faced significant challenges, particularly in accurately capturing and recognizing complex body movements. A study in the International Journal of Computational Systems Engineering has overcome some of these barriers obstacles by improving the precision of motion capture and the recognition of different actions during aerobics exercises.

Conventional VR motion capture systems rely on algorithms that align 3D representations of physical objects, so-called point cloud data, to track body movements. However, these systems often struggle with two critical issues: noise and incomplete data. Noise refers to unwanted interference that can distort the data collected by sensors, while incomplete data arises when certain body movements are not fully captured. In aerobics, where precision in movement is key to safe and effective exercising, these issues compromise the effectiveness of VR-based training systems.

Hui Wang of the School of Physical Education at Yan’an University in Yan’an, China, has addressed these challenges by developing two new models. The first focuses on enhancing the Iterative Closest Point (ICP) algorithm, which is used to align point cloud data. ICP is a well-established method, but it is prone to inefficiencies, particularly when faced with noisy or incomplete data. By optimizing the algorithm, Wang has improved accuracy and speed of capture.

The second model focuses on refining action recognition. A neural network is used to analyse the complex relationships between body joints over time by tracking the interactions between different body parts. Wang improved the neural network used by incorporating a perturbation mechanism to deal with noise, which further improved its ability to capture subtle movements and interdependencies between non-adjacent joints during aerobics.

Accuracy up to 99 percent was achieved, indicating a remarkable ability to recognize and classify aerobics movements with minimal error. Moreover, the experimental group using these advanced models outperformed the control group in various performance metrics, particularly in terms of the standardization of movements, the work explains. This enhanced motion recognition technology could significantly improve both the learning experience for students and the ability of instructors to offer targeted feedback, leading to more efficient and personalized training in aerobics.

Wang, H. (2025) ‘The application of VR-based fine motion capture algorithm in college aerobics training’, Int. J. Computational Systems Engineering, Vol. 9, No. 6, pp.1–10.

Spring edition of Inderscience's Highlights newsletter

The 2025 spring edition of Inderscience's Highlights newsletter is now available, and includes the latest news on free sample issues, open access articles, newly announced journals and editorial appointments. It also lists the open access and sample issue articles that have been made available for free since the previous newsletter.

You can subscribe to Highlights here.

Free sample articles newly available from International Journal of Metadata, Semantics and Ontologies

The following sample articles from the International Journal of Metadata, Semantics and Ontologies are now available here for free:
  • Enrichment of data in digital documents with metadata extraction
  • Semantic interoperability model for learning object repositories
  • Pre-processing of RDF data for METIS partitioning
  • Nano-PROV: FAIRification workflow for generating nanopublications based on provenance and semantic enrichment
  • Improving FAIRness of the SYNOP meteorological data set with semantic metadata
  • A functional and semantic analysis of artifact representation schemata in folklore museum websites

4 April 2025

Free sample articles newly available from International Journal of Project Organisation and Management

The following sample articles from the International Journal of Project Organisation and Management are now available here for free:
  • The supporting role of the project management office in the transfer of knowledge between projects - a study of five cases
  • Does temporal distance (still) affect the performance of virtual teams?
  • Analysing the stakeholder networks in collaborative project using network theory: implications for coordination and control
  • Assessing project management maturity in Sweden
  • Successful stakeholder engagement in not-for-profit projects: a systematic literature review

Free Open Access article available: "The application of VR-based fine motion capture algorithm in college aerobics training"

The following paper, "The application of VR-based fine motion capture algorithm in college aerobics training" (International Journal of Computational Systems Engineering 9(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Hashtag “#Hashtag” - "The hidden impact of hashtags on Instagram: navigational heuristics on source trustworthiness"

Hashtags, the keywords preceded by the “#” symbol, are widely used on social media platforms like Instagram to categorize content and increase its visibility. While their primary function is to help posts reach broader audiences, a study in the International Journal of Web Based Communities shows that hashtags also play a significant role in shaping how users perceive the trustworthiness of the post’s source. This research challenges the common practice of “hashtag stuffing”, the use of excessive or irrelevant hashtags to boost engagement. It then explores the unintended consequences it may have on the credibility of a given post and the person or company using them.

On Instagram, as with other platforms, hashtags are often used to tap into trending topics or relevant themes, enabling users to increase the visibility of their posts. This study suggests that beyond increasing visibility, hashtags play a significant role in how users judge the credibility of a post.

Ye Han and Peter Haried of the University of Wisconsin-La Crosse, La Cross, Wisconsin, Shuang Wu of Rowan University, Glassboro, New Jersey, USA, carried out experiments and found that hashtags act as “heuristic cues.” In psychological terms, a heuristic is a mental shortcut people use to quickly make decisions or judgements without having to analyse every piece of information. In this context, hashtags serve as cues that shape how trustworthy a post seems, even if the viewer does not scrutinize the content itself in detail.

When a post includes hashtags, users tend to assume that the source is more likely to share additional information or similar content. This perception increases the post’s credibility, reinforcing trust. However, this trust is undermined when hashtags are deemed irrelevant or excessive, as is the case with hashtag stuffing. Users may begin to question the authenticity of the post, leading them to engage in more critical analysis of the content, ultimately reducing the post’s perceived trustworthiness.

This finding underscores a critical tension for Instagram users, particularly commercial enterprises and so-called influencers who all rely on visibility and reach. While using more hashtags may help posts reach a wider audience, the study suggests that excessive or irrelevant hashtags can backfire. Users may interpret such posts as less credible, as the hashtag choices can signal an attempt to manipulate engagement rather than offer valuable or pertinent content.

The research also suggests that the visual nature of Instagram posts affects how users interact with hashtags. If the image is clear and straightforward, users are more likely to engage with hashtags, trusting that the content is well-supported by relevant tagging. In other words, hashtags should be directly related to the post’s content to maintain both trust and engagement. This balanced approach prevents users from feeling overwhelmed by irrelevant information and ensures a more authentic connection with the audience, the research suggests.

Han, Y., Wu, S. and Haried, P. (2025) ‘The hidden impact of hashtags on Instagram: navigational heuristics on source trustworthiness’, Int. J. Web Based Communities, Vol. 21, Nos. 1/2, pp.155–185.

Free sample articles newly available from International Journal of Knowledge-Based Development

The following sample articles from the International Journal of Knowledge-Based Development are now available here for free:
  • Exploring the coworking space as an innovation intermediary: a case study in Amsterdam
  • Crime detection and crime hot spot prediction using the BI-LSTM deep learning model
  • FOA-ESN in tourism demand forecasting from the perspective of sustainable development
  • Digitalised human needs to support intra-organisational knowledge sharing among knowledge workers
  • Research on a recommendation model for sustainable innovative teaching of Chinese as a foreign language based on the data mining algorithm

3 April 2025

Free Open Access article available: "Construction of a CS-ELM-based assessment model for civic education within a multidimensional analysis framework"

The following paper, "Construction of a CS-ELM-based assessment model for civic education within a multidimensional analysis framework" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Environment, Workplace and Employment

The following sample articles from the International Journal of Environment, Workplace and Employment are now available here for free:
  • Customer engagement in online brand communities and value co-creation: the Balkan countries perspectives
  • Beyond the counter: unveiling the nexus of workplace training, employee engagement, and citizenship behaviour in Fijian retail
  • The effect of organisational green culture and organisational environmental ethics on green employee behaviour: the role of green innovative performance and green communication and feedback among employees of garment industry in Bangladesh
  • Women corrections executives' experiences with reciprocal trust and burnout symptoms: an integrated literature review
  • Moonlighting intentions from IT professional's perspective: mediating role of organisational commitment

Free Open Access article available: "Sentiment analysis for tourism reviews based on dual-stream graph attention fusion network"

The following paper, "Sentiment analysis for tourism reviews based on dual-stream graph attention fusion network" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Social sharing - "Why do people disclose themselves on social networking sites? Evidence from Vietnamese Facebook users"

A study in the International Journal of Knowledge and Learning has looked at how individual personality traits influence how much users disclose personal information on social networking sites. Self-disclosure, revealing personal details to others, is generally considered a key component of online social networking interaction.

Understanding what motivates people to share in this way could help platform providers improve the user experience and engagement. The work might also have applications in psychology, social media studies, but perhaps also it could ultimately benefit the bottom-line for the platforms.

Nam Tien Duong of Ho Chi Minh City University of Economics and Finance, Vietnam, has looked at the intersection of personality, self-presentation, and social networking behaviour. He found that social network users are driven by specific interpersonal needs that shape how much they reveal about themselves. These needs, grounded in Maslow’s hierarchy of needs, emphasize the social and emotional drive for connection and affection. Social networking platforms have offered us a unique space to meet these needs through active self-expression online.

The research has drawn on two primary interpersonal needs that shape behaviour: the need for belonging and the need for self-presentation. The need for belonging involves the desire to connect with others and feel recognized, while the need for self-presentation is about managing the image we project to others. The study emphasizes that self-presentation plays an important part in motivating self-disclosure, though its impact varies depending on an individual’s personality traits, particularly extraversion and narcissism.

Extraversion refers to a person’s tendency to seek out social interaction and enjoy group activities. According to the findings, individuals with high levels of extraversion are more likely to disclose personal information. Their enthusiasm for engaging with others translates into a greater willingness to share personal details. In contrast, introverts, who are less inclined toward social interactions, tend to disclose less about themselves, even when they may still have a strong desire for social inclusion.

Another personality trait that significantly influences self-disclosure is narcissism. Narcissists, who possess a strong desire for admiration and validation, often share more personal information to highlight their perceived individuality. This behaviour is driven by a need to garner attention and reinforce their sense of self-importance, which stands in contrast to those who may share less for more intimate or relational reasons.

Duong, N.T. (2025) ‘Why do people disclose themselves on social networking sites? Evidence from Vietnamese Facebook users’, Int. J. Knowledge and Learning, Vol. 18, No. 2, pp.186–203.

Free sample articles newly available from International Journal of Economic Policy in Emerging Economies

The following sample articles from the International Journal of Economic Policy in Emerging Economies are now available here for free:
  • Working capital as a determinant of firm performance
  • A decade of competition laws in Arab economies: a de jure and de facto assessment
  • Understanding the actual buying behaviour of organic food users in India: a PLS-SEM approach
  • Impact of central bank's COVID-19 policy measures on banks: evidence from India
  • The impact of external debt on economic growth in emerging economies: investigating the role of capital formation

2 April 2025

Free Open Access article available: "3D image reconstruction using an improved BEV model and global convolutional attention fusion"

The following paper, "3D image reconstruction using an improved BEV model and global convolutional attention fusion" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand"

The following paper, "Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Digital safeguarding – screen time, safe time - "Fuzzy expert system for access control of children to the internet"

As digital devices become more integrated into children’s lives, concerns about their impact on physical and mental health continue to grow. In modern households, smartphones, tablets, and computers are now commonplace, leading to increased exposure to online content. This shift has raised important questions about how much screen time is appropriate and what effects it has on children’s well-being.

The issue of screen time has been widely debated, with research pointing to both potential risks and benefits. Excessive screen use has been linked to physical issues such as eye strain, headaches, and sleep disruption. There are also concerns about the relationship between increased screen time and physical inactivity, as children who spend more time on devices might be less engaged in outdoor play and exercise, both essential for their physical development.

On the other hand, the online world offers numerous opportunities for learning, creativity, and socialization. Educational apps, online learning platforms, and digital games can stimulate intellectual growth, promote critical thinking, and even foster social connections with peers across the globe. The challenge is finding a balance that maximizes the benefits of digital engagement while mitigating the potential negative effects on health and well-being.

Beyond physical health, the psychological effects of digital media are also a growing concern. Research indicates that extended use of devices, particularly those providing access to social media, can influence children’s emotional well-being, intellectual development, and sense of identity. While some cases have linked excessive screen time to negative outcomes, the full psychological impact of digital media remains an area of ongoing research. It is important to also acknowledge the positive effects, such as improved cognitive skills and the opportunity for global social connections.

Given these concerns, researchers are exploring more personalized methods of regulating screen time, such as the use of fuzzy logic inference systems. These systems, a type of artificial intelligence, can evaluate complex and imprecise data, making them ideal for tailoring screen time recommendations and restrictions based on a child’s unique characteristics.

Parents, guardians, or teachers could input data about a child’s age, health, and psychological profile into the system, which would then use this information to determine appropriate screen time and content limits. Unlike generic restrictions, which may be difficult to enforce or inappropriate for all young users, fuzzy logic systems offer a more customized and flexible approach to managing screen use.

While there are existing tools that restrict screen time and block content, an adaptive approach, could be key to managing both the quantity and quality of screen time. Younger, more vulnerable users would have stricter controls and limits, while older, more mature children could access a wider range of appropriate resources, all based on their individual developmental profiles.

Alguliyev, R.M., Abdullayeva, F.J. and Ojagverdiyeva, S.S. (2024) ‘Fuzzy expert system for access control of children to the internet’, Int. J. Reasoning-based Intelligent Systems, Vol. 16, No. 6, pp.455–462.

Free Open Access article available: "Pseudo-coordinates graph convolutional generative adversarial network for art style transfer"

The following paper, "Pseudo-coordinates graph convolutional generative adversarial network for art style transfer" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

1 April 2025

Free Open Access article available: "Research on over-the-air programming and real-name authentication technology of eSIM based on 5G communication technology"

The following paper, "Research on over-the-air programming and real-name authentication technology of eSIM based on 5G communication technology" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Real-time frequency adaptation in carrier communication algorithm based on 2sVCNet network"

The following paper, "Real-time frequency adaptation in carrier communication algorithm based on 2sVCNet network" (International Journal of Information and Communication Technology 26(6) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Urbanisation, musically speaking - "Comparative analysis of the impact of urban music on students of state, private and parochial educational institutions"

Urban music, which originated in marginalized communities in The Caribbean and the USA, has found a global audience, resonating especially with young people, as is often the case with emerging music genres. Urban music has evolved into more than just a genre of entertainment, it has become a significant cultural force that shapes the identities, behaviour, and educational experiences of young people.

A study in the International Journal of Knowledge and Learning has examined the impact of urban music on secondary school students in Peru. The work sheds new light on its multifaceted role in adolescent life, which may well have wider implications. The findings suggest that urban music, encompassing styles such as hip-hop and reggaetón can serve as a platform for cultural expression and social belonging, influencing students in ways that are deeply linked to their socio-economic environments.

Agustin Angel Roberto Chumpitaz-Avila and Luis Fernando Castro-Llacsa of the National University of San Agustín of Arequipa in Arequipa, Peru, highlight how this musical genre has penetrated schools across Peru, including state, private, and religious institutions. This reflects the wide-reaching influence of urban music. While critics have long asserted that urban music might somehow promote antisocial behaviour, the research suggests that its influence on youth is not so easily categorized and indeed can have a strong positive influence.

Urban music does commonly have explicit lyrics that often feature violence, overtly sexual imagery, and drug use. Those social observers who malign it for these characteristics suggest that young listeners may internalize these messages. However, the current study found that while some students might adopt attitudes reflected in the music, the broader socio-economic and familial context plays a more significant role in determining their behaviour. Urban music, it seems, is a tool for young people to interpret their surroundings rather than an inherently harmful influence.

Chumpitaz-Avila, A.A.R. and Castro-Llacsa, L.F. (2025) ‘Comparative analysis of the impact of urban music on students of state, private and parochial educational institutions’, Int. J. Knowledge and Learning, Vol. 18, No. 2, pp.170–185.

Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Real-time frequency adaptation in carrier communication algorithm based on 2sVCNet network
  • Research on over-the-air programming and real-name authentication technology of eSIM based on 5G communication technology
  • Pseudo-coordinates graph convolutional generative adversarial network for art style transfer
  • Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand
  • 3D image reconstruction using an improved BEV model and global convolutional attention fusion
  • Sentiment analysis for tourism reviews based on dual-stream graph attention fusion network
  • Construction of a CS-ELM-based assessment model for civic education within a multidimensional analysis framework

31 March 2025

Research pick: Classical class – notes on automated music analysis - "Classification of classical music genres based on Mel-spectrogram and multi-channel learning"

As digital music libraries continue to expand, the challenge of accurately categorizing musical genres remains high on the agenda. A study in the International Journal of Information and Communication Technology introduces a deep learning model designed to improve the classification of classical music genres.

By employing multi-channel learning (MCL) and Mel-spectrogram analysis, the model, known as MC-MelNet, offers what the research suggests is a more nuanced and efficient approach to genre identification. Tests carried out by its developer, Lei Zhang of the Henan Academy of Drama Arts at Henan University in Zhengzhou, China, show that it outperforms traditional classification methods.

The ability to classify music automatically has far-reaching implications for streaming services, music recommendation algorithms, and digital archiving. Classical music, with its intricate structures and subtle variations, presents a particular challenge for automated classification. Zhang explains that MC-MelNet addresses these issues by integrating multiple layers of analysis, capturing both the tonal and temporal characteristics of a composition.

At the core of MC-MelNet’s innovation is its multi-channel learning framework, which processes multiple audio features simultaneously. Conventional approaches rely primarily on Mel-spectrograms, which break down an audio signal into different frequency components in a way that mimics human hearing. However, while effective in capturing tonal elements, Mel-spectrograms alone do not fully represent the temporal dynamics of music.

MC-MelNet overcomes this limitation by incorporating additional audio features such as Mel-frequency cepstral coefficients (MFCC) and Chroma features. MFCCs capture the timbral qualities of a sound, making them useful for distinguishing between different instruments or playing styles. Chroma features, on the other hand, focus on pitch content and harmonic structure. By combining these elements, MC-MelNet creates a richer and more detailed representation of musical compositions, allowing it to distinguish between closely related classical genres with greater accuracy.

Unlike conventional classification methods, which require manual feature extraction, MC-MelNet uses an end-to-end deep learning approach. It utilizes convolutional neural networks (CNNs) to detect spatial patterns in audio data and recurrent neural networks (RNNs), specifically long short-term memory (LSTM) networks, to process sequential musical information.

MC-MelNet might have applications beyond classical music classification. It could, for instance, be adapted for real-time sound processing and audio event detection. Enhancing the model’s generalizability by training it on a more diverse dataset could make it applicable to a wider range of genres, improving automated music classification for commercial streaming platforms.

Zhang, L. (2025) ‘Classification of classical music genres based on Mel-spectrogram and multi-channel learning’, Int. J. Information and Communication Technology, Vol. 26, No. 5, pp.39–53.

Free Open Access article available: "An objective comparison of two prominent virtual actor frameworks: Proto.Actor and Orleans"

The following paper, "An objective comparison of two prominent virtual actor frameworks: Proto.Actor and Orleans" (International Journal of Communication Networks and Distributed Systems 30(3) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

28 March 2025

Free Open Access article available: "Both right nearby and far away: Rural Sámi entrepreneurs' engagement with spatial contexts"

The following paper, "Both right nearby and far away: Rural Sámi entrepreneurs' engagement with spatial contexts" (International Journal of Management and Enterprise Development 24(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Going spare roadside, cutting costs and emissions - "Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company"

A distribution model designed to streamline spare parts delivery to roadside assistance vehicles could cut costs in half, according to work in the International Journal of Shipping and Transport Logistics. The model builds a solution to the well-known Travelling Salesman Problem, a complex optimisation problem that involves finding the shortest route that visits each city once and ends at the starting point. The model was tested on real data from a roadside assistance company operating a fleet of service vehicles.

Abolfazl Shafaei, Mohammad Reza Akbari Jokar, and Majid Rafiee of Sharif University of Technology in Tehran, Iran, and Ahmad Hemmati of the University of Bergen in Bergen, Norway, explain that the major logistical challenge for roadside assistance fleets is balancing inventory space with repair capabilities. Service vehicles have limited space onboard, so they must prioritize particular spare parts and specific tools. Service vehicles usually visit a central warehouse on a regular schedule to restock on spare parts every few days. This adds to overall fuel costs, vehicle wear and tear, and lost servicing time. The new system replaces these frequent trips with a centralized delivery truck that optimizes the frequency and route of spare part deliveries.

However, drivers everywhere expect fast, efficient service from the company with which they entrust their vehicle’s roadside maintenance, They also expect it to be inexpensive and a high-quality service.

The team tested several delivery schedules, including daily and every five days, and found that the most efficient option for this roadside assistance company was an optimized cycle on the first, second, and fourth days. This approach reduced costs by 56%.

The new model reduces the need to stockpile items by ensuring regular deliveries to the service fleet out on the road. This frees up space for repair equipment that allows for a wider variety of roadside fixes.

Beyond the immediate time and cost savings to companies running roadside assistance fleets, the model also promises significant environmental benefits. With fewer vehicles returning to a central warehouse to restock, fuel consumption and carbon emissions can be greatly reduced. Indeed, for the test case, the team found that annual carbon dioxide emissions could be reduced by 75 percent.

Shafaei, A., Akbari Jokar, M.R., Rafiee, M. and Hemmati, A. (2025) ‘Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company‘, Int. J. Shipping and Transport Logistics, Vol. 20, No. 1, pp.131-158.

Free Open Access article available: "Piano teaching-assisted beat recognition based on spatio-temporal two-branch attention"

The following paper, "Piano teaching-assisted beat recognition based on spatio-temporal two-branch attention" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Implementation of gesture recognition technology optimised by neural networks in OpenMV
  • Ideological opinion clustering identification based on Gibbs sampling in social new media environment
  • Classification of classical music genres based on Mel-spectrogram and multi-channel learning
  • An alternative method for generating fractal art patterns based on the balanced optimiser algorithm
  • Knowledge creation in vocational education using multi-source data fusion under big data environment
  • Intelligent fault diagnosis of mechanical equipment based on industrial big data
  • Piano teaching-assisted beat recognition based on spatio-temporal two-branch attention

27 March 2025

Free sample articles newly available from International Journal of Learning Technology

The following sample articles from the International Journal of Learning Technology are now available here for free:
  • A framework for co-designing effective LADs supporting sensemaking and decision making
  • An analysis of technological resources to encourage self-regulated learning behaviour in virtual learning environments in the last decade
  • Modelling e-learning quality, self-efficacy and students' behaviour
  • Advances in personalised recommendation of learning objects based on the set covering problem using ontology
  • Demographic differences in China's higher education students' interactions and experiences with online learning during the COVID-19 pandemic

Free Open Access article available: "Intelligent fault diagnosis of mechanical equipment based on industrial big data"

The following paper, "Intelligent fault diagnosis of mechanical equipment based on industrial big data" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Robots get a grip on objects with a twist - "Rotation-invariant 3D convolutional neural networks for 6D object pose estimation"

Recent work in 6D object pose estimation holds significant promise for advancing robotics, augmented reality (AR), virtual reality (VR), as well as autonomous navigation. The research, published in the International Journal of Computational Science and Engineering, introduces a method that enhances the accuracy, generalization, and efficiency of determining an object’s rotation and translation from a single image. This could significantly improve robots’ ability to interact with objects, especially in dynamic or obstructed environments.

In robotics, 6D object pose estimation refers to determining both the orientation (rotation) and position (translation) of an object in three-dimensional space. “6D” describes six degrees of freedom: three for translation (X, Y, Z axes) and three for rotation (around those axes). Accurate pose estimation is critical for autonomous systems, including robots and AR/VR systems.

Challenges arise due to variations in object shapes, viewpoints, and computational demands. Current methods rely on deep-learning techniques using large datasets of objects viewed from various angles. These models struggle with unseen objects or those with shapes different from training data.

The new technique discussed by Zhizhong Chen, Zhihang Wang, Xue Hui Xing, and Tao Kuai of the Northwest Institute of Mechanical and Electrical Engineering in Xianyang City, China, addresses the various challenges by incorporating rotation-invariant features into an artificial intelligence system known as a 3D convolutional network. This allows the system to process an object’s 3D point cloud, regardless of its orientation, leading to more accurate pose predictions even when the object is rotated or seen from unfamiliar angles. The network uses a consistent set of coordinates, known as canonical coordinates, which represent the object in a frame of reference unaffected by rotation. This innovation improves the system’s ability to generalize to new poses, overcoming a limitation of conventional methods.

Not only is the new approach more accurate, it is more efficient and so needs less training data and less computer power, making it more suited for real-time, real-world applications.

Chen, Z., Wang, Z., Xing, X.H. and Kuai, T. (2025) ‘Rotation-invariant 3D convolutional neural networks for 6D object pose estimation’, Int. J. Computational Science and Engineering, Vol. 28, No. 8, pp.1–9.

Free sample articles newly available from International Journal of Monetary Economics and Finance

The following sample articles from the International Journal of Monetary Economics and Finance are now available here for free:
  • The impact of corporate social responsibility disclosure and board characteristics on firm performance: evidence from Vietnam-listed firms
  • ESG performance and cost of capital: what do we know? Evidence from the US
  • Indian stock market sensitivity to macroeconomic and non-macroeconomic factors: an industry-level analysis
  • Are machine learning models more effective than logistic regressions in predicting bank credit risk? An assessment of the Brazilian financial markets
  • Does FinTech adoption improve bank performance?

26 March 2025

Free Open Access article available: "An alternative method for generating fractal art patterns based on the balanced optimiser algorithm"

The following paper, "An alternative method for generating fractal art patterns based on the balanced optimiser algorithm" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Knowledge creation in vocational education using multi-source data fusion under big data environment"

The following paper, "Knowledge creation in vocational education using multi-source data fusion under big data environment" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Hitting the right notes in vocal separation - "Separating voice and background music based on 2DFT transform"

Separating the human voice from the music in an audio recording has long been a challenge in signal processing. There are numerous so-called artificial intelligence (AI) tools around that can do this now with varying degrees of accuracy. The task is difficult due to the complexity of music, which involves multiple overlapping sources across the audible frequency spectrum. There is a need to increase the resolution and clarity of systems that can separate a vocal from the instrumental for a wide range of applications, such as post-production remixes of music, singing instruction and rehearsing, .

A new method is reported in the International Journal of Reasoning-based Intelligent Systems. The researchers, Maoyuan Yin and Li Pan of the School of Music and Dance at Mudanjiang Normal University in Mudanjiang, China, have, they say, improved upon existing techniques by combining several advanced signal processing techniques. Their starting point is the use of a virtual microphone array. This virtual setup helps them localize the human voice within the overall sound and isolate it from the background.

The virtual microphone array creates a spatial representation of the sound, the team explains. To further improve on the results, the team also used near-field and far-field models to simulate the propagation of sound from sources at different distances. This gives them even more precision in localising the vocal within the sound.

Once the voice is accurately located, the system constructs a time-frequency spectrum for both the human voice and the background music. The time-frequency spectrum tracks how the energy of sound signals shifts along the frequency axis over time. The system can then analyse these changes and distinguish between vocal and instrumental, isolating them from one another.

The process is further refined by the use of a sophisticated algorithmic technique – the Hamming window function, which improves the efficiency of the requisite two-dimensional fast Fourier transform (2DFT) processing of the data. This step reduces the number of dimensions of the various extracted sound signals, simplifying the final extraction of vocal from music.

Test results demonstrate the effectiveness of this new approach with a localization error of just 0.50%. For background music, the feature extraction error is reduced to 0.05%. Overall, the team could reach almost 99 percent accuracy in separating vocal from instrumental. The same approach should also work in isolating a human voice from non-musical background noise. It could thus be used to improve automated spoken-word transcription services and help in the development of better hearing aids.

Yin, M. and Pan, L. (2025) ‘Separating voice and background music based on 2DFT transform’, Int. J. Reasoning-based Intelligent Systems, Vol. 17, No. 1, pp.50–57.

Free sample articles newly available from International Journal of Advanced Operations Management

The following sample articles from the International Journal of Advanced Operations Management are now available here for free:
  • Exploring the factors causing delay in export by containerised multimodal transportation
  • Application of lexicographic goal programming technique to tackle production planning problem in the dairy manufacturing sector
  • Healthcare quality: applying a SERVUSE model
  • Optimising production scheduling decisions in flowshop manufacturing cells for a sportswear manufacturing case
  • Sustainability 4.0 in the fashion industry: a systematic literature review

25 March 2025

Inderscience journals to invite expanded papers from 6th Nordic International Business, Export Marketing, International Entrepreneurship, Entrepreneurship, Brand Management, Consumer Behaviour and Tourism Conference 2025 for potential publication

Extended versions of papers presented at the 6th Nordic International Business, Export Marketing, International Entrepreneurship, Entrepreneurship, Brand Management, Consumer Behaviour and Tourism Conference 2025 (29-30 March 2025 via Zoom) will be invited for review and potential publication by the Nordic Journal of Tourism and International Journal of Export Marketing.

Research pick: Art for maths’ sake - "An alternative method for generating fractal art patterns based on the balanced optimiser algorithm"

Fractals are intricate geometric shapes that exhibit self-similarity, meaning their patterns repeat at different scales, no matter how much they are magnified. Unlike traditional geometric figures such as circles or squares, which can be described with simple equations, fractals are generated through iterative mathematical processes, producing infinitely complex and detailed structures.

We see fractals all around us, in the branching structure of a tree, in clouds, snowflakes, coastlines, in the system of blood vessels and nerves in our bodies. Fractals can thus be used as a scientific model for many natural phenomena, However, their inherent beauty and intrigue can be a source of artistic inspiration too.

A study in the International Journal of Information and Communication Technology introduces an advanced approach that can be used to create novel images based on fractals. The optimisation algorithm, developed by Junli Wang of the School of Digital Arts at Wuxi Vocational College of Science and Technology in Wuxi, China, and known as the Equilibrium Optimiser (EO), significantly improving efficiency and design diversity.

Fractal geometry was first formalised by Benoît Mandelbrot in the 1970s and has influenced fields ranging from architecture to computer graphics and even music composition. The challenge in fractal art generation has traditionally been the reliance on manual input, requiring expertise and time-consuming adjustments. The new research overcomes some of those limitations through the EO algorithm, which enables a more efficient, diverse, and aesthetically rich exploration of fractal forms, according to the study.

The EO algorithm is an advanced optimisation algorithm based on how natural physical systems balance themselves. Unlike Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO), the EO algorithm adjusts its search strategies dynamically to avoid becoming trapped in local optimisation points, a common problem of many mathematical models. This means that the EO algorithm can fine-tune the parameters needed to generate fractal patterns, producing designs with greater symmetry, complexity, and structural variation than traditional approaches. Wang’s tests show that the EO algorithm works better than older algorithms in terms of the speed with which it converges on a solution and the visual quality and stability it produces.

Beyond its technical contributions, this research raises important questions about the intersection of technology and art. The ability to generate intricate fractal patterns automatically expands the creative possibilities available to artists, designers, and researchers. Unlike hand-drawn or physically painted works, digital fractal art is created through computation, challenging conventional ideas of authorship and artistic intent.

Wang, J. (2025) ‘An alternative method for generating fractal art patterns based on the balanced optimiser algorithm’, Int. J. Information and Communication Technology, Vol. 26, No. 5, pp.54–68.

Free sample articles newly available from International Journal of Intellectual Property Management

The following sample articles from the International Journal of Intellectual Property Management are now available here for free:
  • Adoption of information systems in OCB in the pandemic era mediates personality relationships, organisational culture, and employee performance
  • The impact of the social media on consumer behaviour amid economic crisis: the case of luxury consumption
  • Use of peel-based activated carbon in wastewater treatment: a study of patents
  • Intermediary liability for online copyright infringement in India: a trans-judicial dialogue
  • A framework of evolution and potential impact of nanotechnology in USPTO: the SWOT analysis

Free Open Access article available: "Classification of classical music genres based on Mel-spectrogram and multi-channel learning"

The following paper, "Classification of classical music genres based on Mel-spectrogram and multi-channel learning" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

24 March 2025

Free Open Access article available: "Ideological opinion clustering identification based on Gibbs sampling in social new media environment"

The following paper, "Ideological opinion clustering identification based on Gibbs sampling in social new media environment" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Web Based Communities

The following sample articles from the International Journal of Web Based Communities are now available here for free:
  • Accurate prediction of purchasing behaviour of cross border e-commerce consumers under social media marketing
  • Deep mining of e-commerce consumer behaviour data based on concept hierarchy tree
  • Customer relationship value evaluation method for e-commerce platform based on fuzzy clustering
  • The impact of payment methods on consumer behaviour in the e-commerce environment
  • Privacy protection of multiple sensitive attribute data for users on e-commerce social media platforms
  • Research on personalised short video push on social media platforms based on affinity propagation clustering
  • A method for tracing big data of network public opinion based on data mining algorithms
  • Comprehensive evaluation method of live streaming business model in online marketing environment
  • Feature extraction of news communication on Microblog platform based on multilevel sliding window model
  • A method for identifying consumer emotional tendency in the 'live streaming+e-commerce' mode

Research pick: Can one buy the greatest gift? - "Income and happiness: a study of a panel of US residents"

Can money buy happiness? An age-old question with as yet no definitive answer. The ancient philosophers could not find it, nor can modern economists with their spreadsheets and algorithms. A study in the International Journal of Happiness and Development has explored the complex relationship between income and happiness and provides some new insights into the debate.

Ling Zhang China Agricultural University in Beijing, China, and Sajal Lahiri of Southern Illinois University Carbondale in Carbondale, Illinois, USA, used data from the Panel Study of Income Dynamics, a comprehensive dataset that tracks individuals over time, and found that having a higher income does seem to correlate with increased life satisfaction. Importantly, the data is longitudinal, which means it tracks the same individuals over several years, allowing the researchers to control for unchanging factors such as personality traits or family background.

The study also found that for those with rising income, their happiness tends to rise too. Conventionally, the Easterlin Paradox has suggested that although wealthier people are generally happier at any given time, happiness does not necessarily increase as individuals become wealthier over their lifetime. This new research somewhat overturns that notion.

Of course, there are always exceptions to any rule, poorer people with seemingly plenty to smile about, who accept their lot and enjoy life regardless and conversely the super-rich individual who never smiles and seems perpetually burdened by their wealth.

The study used subjective well-being (SWB) scales, where individuals rate their life satisfaction on a scale from 1 to 10 to measure happiness. The results were telling: income was positively linked to life satisfaction, and the effect of income on happiness has become more pronounced in recent years. The study also showed that individuals whose income decreased in real terms, often because of factors such as technological progress or globalization, reported lower levels of life satisfaction. This suggests that declines in income, particularly among lower-income individuals, can negatively affect well-being.

While the relationship between money and happiness remains a nuanced topic, the evidence from this study adds weight to the argument that economic well-being plays a significant role in determining overall life satisfaction. These findings emphasise the importance of addressing income inequality and supporting policies that help individuals increase their earnings. As the study suggests, fostering economic fairness and opportunity may not only help individuals thrive, but could also enhance collective happiness.

Zhang, L. and Lahiri, S. (2025) ‘Income and happiness: a study of a panel of US residents’, Int. J. Happiness and Development, Vol. 9, No. 1, pp.1–14.

Free Open Access article available: "Implementation of gesture recognition technology optimised by neural networks in OpenMV"

The following paper, "Implementation of gesture recognition technology optimised by neural networks in OpenMV" (International Journal of Information and Communication Technology 26(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access article available: "Internal promotion in companies in El Salvador"

The following paper, "Internal promotion in companies in El Salvador" (International Journal of Economics and Business Research 29(10) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

22 March 2025

Free Open Access article available: "Rotation-invariant 3D convolutional neural networks for 6D object pose estimation"

The following paper, "Rotation-invariant 3D convolutional neural networks for 6D object pose estimation" (International Journal of Computational Science and Engineering 28(7) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Hydromechatronics

The following sample articles from the International Journal of Hydromechatronics are now available here for free:
  • Low-pulsation design of motion structure in cam-lobe hydraulic motor
  • Robust active disturbance rejection control for modular fluidic soft actuators
  • CFD-based method for hydrostatic bearings performance: static characteristics with various recess shapes
  • Position servo with variable speed pump-controlled cylinder: design, modelling and experimental investigation
  • Artificial intelligence-based viscosity prediction of polyalphaolefin-boron nitride nanofluids
  • 3D profile-based pothole segmentation and quantification

21 March 2025

Free sample articles newly available from International Journal of Information and Computer Security

The following sample articles from the International Journal of Information and Computer Security are now available here for free:
  • AI-driven approach for robust real-time detection of zero-day phishing websites
  • Behavioural analysis and results of malware and ransomware using optimal behavioural feature set
  • Priority-based security-aware virtual machine allocation policy
  • On generating new key dependent XOR tables to improve AES security and evaluating the randomness of the output of block ciphers
  • Image tampering detection based on feature consistency attention

International Journal of Services and Standards to invite expanded papers from 15th International Conference on Business and Economics Research for potential publication

Extended versions of papers presented at the 15th International Conference on Business and Economics Research (11-13 July 2025, Beijing University of Technology, Beijing, China) will be invited for review and potential publication by the International Journal of Services and Standards.

Research pick: The real thing - "Unlocking the potential of deepfake generation and detection with a hybrid approach"

Artificial intelligence (AI) and deep-learning technologies have led to the development of so-called deepfakes. These are generated or manipulated video or audio recordings that can alter a person’s facial expressions, voice, or even their entire identity. While deepfakes have some legitimate uses in areas such as entertainment and art, their potential for misuse and for the spread of misinformation or damaging reputations has been recognised for several years. As the technology used to create deepfakes becomes more sophisticated, so there is a growing need to develop methods for deepfake detection.

Research described in the International Journal of Computational Science and Engineering introduces a hybrid deep-learning model that can itself improve the detection of deepfake content. The model combines two convolutional neural network (CNN) architectures, Inception ResNetV2 and Xception, along with long short-term memory (LSTM) networks. LSTM networks can process sequential data from video or audio segments and are particularly useful in spotting inconsistencies in manipulated media.

Shourya Chambial, Tanisha Pandey, Rishabh Budhia, and Balakrushna Tripathy of the Vellore Institute of Technology in Tamil Nadu, India, and Anurag Tripathy of Carnegie Mellon University in Pittsburgh, Pennsylvania, USA, trained their deepfake detector on a large dataset containing both real and manipulated video data. They were able to achieve an accuracy of almost 97 percent in tests. This suggests that the hybrid approach is capable of identifying subtle signs of manipulation in digital media and so decide whether a video is real or fake.

An important aspect of the research is that it emphasizes the importance of fine-tuning deep-learning models so that they work well with real-world data. An issue that commonly arises with certain types of AI model is that of “overfitting”, where the algorithm is too closely tied to the specific characteristics of its training data and struggles to perform on new, unseen data. In the current work, the team monitored performance and adjusted it to ensure it remained effective with a wide range of video content.

Chambial, S., Pandey, T., Budhia, R., Tripathy, B. and Tripathy, A. (2025) ‘Unlocking the potential of deepfake generation and detection with a hybrid approach’, Int. J. Computational Science and Engineering, Vol. 28, No. 2, pp.151–165.

Free sample articles newly available from International Journal of Reasoning-based Intelligent Systems

The following sample articles from the International Journal of Reasoning-based Intelligent Systems are now available here for free:
  • Food ingredient recognition model via image and textual feature extraction and hybrid classification strategy
  • A network big data classification method based on decision tree algorithm
  • An optimisation of mobile terminal data mining method based on internet of things
  • A recognition method of learning behaviour in online classroom based on feature data mining
  • Complex background image segmentation based on multi-scale features
  • Personalised leisure tourism route recommendation method based on knowledge map
  • A new double attention decoding model based on cascade RCNN and word embedding fusion for Chinese-English multimodal translation
  • A privacy protection method for IoT nodes based on convolutional neural network
  • Detection of redundant traffic in large-scale communication networks based on logistic regression
  • A block-based fragile watermarking scheme for digital image authentication and tamper recovery

20 March 2025

Free sample articles newly available from International Journal of Machining and Machinability of Materials

The following sample articles from the International Journal of Machining and Machinability of Materials are now available here for free:
  • Evaluation of different milling strategies on the performance of aluminium thin-walled parts
  • 3D FE cutting simulations of Nomex honeycomb composites in rotary ultrasonic machining process
  • Data analysis and optimisation of cutting parameters for CNC rotary grinding of a crystal glass
  • An experimental study of the effects of ultrasonic cavitation-assisted machining on Ti-6Al-4V
  • Finite element-based study of unidirectional CFRP drilling temperature field

Free sample articles newly available from International Journal of Materials Engineering Innovation

The following sample articles from the International Journal of Materials Engineering Innovation are now available here for free:
  • Investigations into surface erosion characteristics and thermal stability of epoxy-based ZnO nanocomposites
  • Comparison of corrosion behaviour on 18% Ni 250 grade maraging steel under weld aged condition in NaCl and H2SO4
  • Anti-tetrachiral auxetic structures fabricated by material extrusion: numerical and experimental investigation on influence of design parameters on mechanical properties under compressive loading
  • Prediction of elastic properties of cotton waste reinforced epoxy composites for structural applications
  • Using fuzzy logic to predict the influence of the tool shoulder geometry of friction stir welded Al 6082 T6 alloy

Research pick: Track and trace for those ten green bottles - "Analysis and selection of glass bottle traceability technologies in the beer production chain"

Better technology for keeping track of glass beer bottles could be important in improving health and safety and operational efficiency in the alcoholic beverage sector, according to work published in the International Journal of Productivity and Quality Management.

A team in Brazil has evaluated three technologies, laser, carbon dioxide laser, and QR code systems and considered basic criteria such as security, cost, performance, and social impact. Carolina Xavier da Silva Seixas Rocha, Aldara da Silva César, and Cecilia Toledo Hernández, and Ualison Rébula de Oliveira of the Fluminense Federal University in Volta Redonda, and Fabiane Letícia Lizarelli of the Universidade Federal de São Carlos in São Carlos, Brazil, suggest that QR code technology offers the best balance between the various factors, particularly in terms of safety and broader social implications.

Traceability is the ability to track products through the supply chain and has become a critical issue in the food industry due to the increasing frequency of health problems associated with foodborne pathogens. According to the World Health Organization, millions of people are affected by foodborne illnesses each year, underlining the importance of systems that can trace the origin and movement of food products. Effective traceability can help quickly identify and remove products that pose a safety risk, which is vital for consumer protection.

The team focus on Brazil, where beer consumption is on the rise, and highlight the need for improved traceability in the beer industry. The team has identified how Brazilian glass bottle manufacturers lacking the ability to trace individual bottles. This limitation inevitably complicates the resolution of customer complaints and the identification of production issues.

While there are sophisticated methods for analysing a given bottle, the team suggests that the two-dimensional bar code system, known as the QR (Quick-response) code, offers a promising solution to traceability. QR codes are relatively inexpensive to implement, easy to use, and capable of providing real-time data on product movements. These features make them a strong choice for companies looking to meet both safety requirements and consumer demand for transparency. Additionally, QR codes align with increasing regulatory pressures in markets like Brazil, where food safety standards are becoming more stringent.

Rocha, C.X.d.S.S., César, A.d.S., Hernández, C.T., de Oliveira, U.R. and Lizarelli, F.L. (2025) ‘Analysis and selection of glass bottle traceability technologies in the beer production chain’, Int. J. Productivity and Quality Management, Vol. 44, No. 2, pp.178–204.

Free sample articles newly available from International Journal of Security and Networks

The following sample articles from the International Journal of Security and Networks are now available here for free:
  • Enabling secure modern web browsers against cache-based timing attacks
  • OneR-DQN: a botnet traffic detection model based on deep Q network algorithm in deep reinforcement learning
  • A hybrid malware analysis approach for identifying process-injection malware based on machine learning
  • A social network security user recommendation algorithm based on community user emotions
  • A new edge weight-based measure for k-shell influential node identification in complex networks

19 March 2025

Free sample articles newly available from International Journal of Knowledge Management in Tourism and Hospitality

The following sample articles from the International Journal of Knowledge Management in Tourism and Hospitality are now available here for free:
  • An empirical investigation of campers' loyalty during COVID-19 pandemic: evidence from Tunisia
  • An empirical study of the world's oldest airline company who filed bankruptcy during COVID-19 pandemic
  • Crisis management within the social system theory retrospective and prospective analysis of COVID-19 crisis in tourism and hospitality
  • Control self-assessment on information technology business processes as COBIT 2019-based pre-audit activities

Free Open Access article available: "Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company"

The following paper, "Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company" (International Journal of Shipping and Transport Logistics 20(1) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Hydraulic revolution could cut emissions - "A review of independent metering control system for mobile machinery"

Independent metering control systems (IMCS) are an advanced electro-hydraulic technology used in mobile machinery for construction, agriculture, and mining equipment. They represent something of a revolution in mobile machinery, offering the potential to drastically improve energy efficiency, reduce operational costs, and cut carbon emissions, so contributing to environmental sustainability. However, the path to their widespread adoption faces various challenges. A critical review of the state-of-the art International Journal of Hydromechatronics looks at hos these challenges might be addressed.

In standard hydraulic systems, fluid flow is controlled through multiway valves that adjust flow in a single direction. These usually rely on mechanical components to manage the flow. By contrast, IMCS decouples the inlet and outlet of the valve, enabling independent control of fluid flow both into and out of hydraulic actuators. This innovation allows for finer control over hydraulic functions, enhancing system performance and providing more precise energy management.

The primary advantage of IMCS lies in its potential to significantly reduce energy consumption. Traditional hydraulic systems often suffer from inefficiencies due to throttling whereby fluid flow is necessarily restricted to control speed, which leads to energy loss. By providing more precise regulation of fluid pressure and flow, IMCS can minimize these losses. This and other benefits are discussed by Ruqi Ding, Guohua Sun, and Ling Peng of East China Jiaotong University in Nanchang, Min Cheng of Chongqing University in Chongqing, and Junhui Zhang, Bing Xu, and Huayong Yang of Zhejiang University, in Hangzhou, China.

The researchers point out that all industries are facing increased pressure to meet stringent environmental standards. Improving hydraulic system efficiency by just 15 percent could save these industries billions of dollars annually, while also significantly lowering carbon emissions.

One of the main obstacles to more widespread adoption is the complexity associated with the integration of IMCS into existing machinery. Traditional hydraulic systems use mechanical controls that are relatively simple, whereas IMCS relies on sophisticated electronics and software to manage the complex control of multiple fluid inputs and outputs. To take on IMCS, industry will need to invest heavily in the new technology and on training and trust that the payback will be quick given the improvements they will see in the efficiency of their equipment.

Ding, R., Sun, G., Zhang, J., Peng, L., Cheng, M., Xu, B. and Yang, H. (2025) ‘A review of independent metering control system for mobile machinery’, Int. J. Hydromechatronics, Vol. 8, No. 5, pp.1–39.

Free sample articles newly available from International Journal of Computational Economics and Econometrics

The following sample articles from the International Journal of Computational Economics and Econometrics are now available here for free:
  • American financial markets dependencies: a vine copula approach
  • Structural breaks detection using step-indicator saturation technique in state-space model
  • Improved stock price forecasting by streamlining indicators: an approach via feature selection and classification
  • Machine learning-based business risk analysis for big data: a case study of Pakistan
  • Identifying trend nature in time series using autocorrelation functions and stationarity tests

18 March 2025

Free sample articles newly available from International Journal of Advanced Intelligence Paradigms

The following sample articles from the International Journal of Advanced Intelligence Paradigms are now available here for free:
  • Regression test case prioritisation using genetic algorithm
  • Robust medical image watermarking technique using integer wavelet transform and shearlet transform with BSVD
  • Advanced cryptography technique in certificateless environment using SDBAES
  • An exploratory data analysis on rating data using recommender system algorithms
  • An IoT-based accident severity detection for automobiles with alerting the appropriate location of the accident - an innovative attempt
  • Some results on edge irregular product vague graphs
  • Map Reduce approach for road accident data analysis using data mining techniques

Research pick: Smashing the shatterproof glass ceiling, legally speaking - "The impact of personality traits of women advocates towards glass ceiling beliefs for career development"

India has one of the largest legal professions in the world, with more than 600,000 law professionals. Yet, women remain underrepresented in the upper echelons of legal practice and the judiciary. Writing in the International Journal of Process Management and Benchmarking, P. Nisha and A. Vasumathi of the Vellore Institute of Technology in Vellore, India, explain how this gender disparity is particularly stark in India’s Supreme Court and High Courts. Here, women represent only a small fraction of judges. The team points out that while many women have made notable progress in the legal field, they still face persistent barriers to career advancement and promotion opportunities, often referred to as the “glass ceiling”.

The concept of the glass ceiling is not a new phenomenon, nor one restricted to India. Historically, women around the world have always faced significant obstacles in entering and progressing within the legal profession. Even as more women entered the profession, social expectations and family responsibilities have continued to stifle career progression to senior positions. This imbalance has persisted despite the fact that women now make up a significant proportion of law school graduates and practicing professionals.

Gender stereotypes have played a detrimental role in shaping the professional lives of women in law. This bias in the systems affects what kinds of cases women are assigned, the networking opportunities available to them, and their overall access to career-advancing resources. Faced with fewer high-profile cases and lower-paying ones at that exacerbates the problems they face, often by robbing them of the very opportunities that would allow them to gain the necessary experience to be considered for leadership roles.

The researchers suggest that institutional support could play a major role in addressing these disparities. They suggest that daycare facilities for the children of court employees might alleviate at least some of the burden and obligation on women professionals with offspring, where society often expects them to be the primary carer. However, such measures are not enough. Real progress will only happen when there is a cultural shift within law firms, judicial bodies, and educational institutions, the research suggests. Gender-neutral policies must be implemented at every level of the profession to ensure that women are not held back by biases or by societal expectations.

Nisha, P. and Vasumathi, A. (2025) ‘The impact of personality traits of women advocates towards glass ceiling beliefs for career development’, Int. J. Process Management and Benchmarking, Vol. 19, No. 2, pp.147–192.

Free sample articles newly available from International Journal of Web and Grid Services

The following sample articles from the International Journal of Web and Grid Services are now available here for free:
  • C3D-LSTM: a novel convolution-3D-based LSTM for link prediction in dynamic social networks
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  • Attention-based mechanism and feature fusion network for person re-identification
  • An augmented interpretive framework based on aspect sentiment words aggregation
  • Smart contracts and marketplace for just-in-time management of pharmaceutical drugs
  • Effectively learn how to learn: a novel few-shot learning with meta-gradient memory

International Journal of Power and Energy Conversion is now an open access-only journal

We are pleased to announce that the International Journal of Power and Energy Conversion is now an Open Access-only journal. All accepted articles submitted from 18 March 2025 onwards will be Open Access, and will require an article processing charge of US $1600.

17 March 2025

Free sample articles newly available from International Journal of Happiness and Development

The following sample articles from the International Journal of Happiness and Development are now available here for free:
  • Trends and fluctuations in financial satisfaction and macroeconomic indicators in times of economic changes: the case of Latin America
  • The relationship between leisure and entertainment cultural aesthetics and organisational identification: the role of healing effects
  • The effects of domain satisfaction on overall life satisfaction in Türkiye
  • Happy leadership, now more than ever

Free Open Access article available: "Development of a torque motor with enhanced performance employing novel semi-inset PM pole"

The following paper, "Development of a torque motor with enhanced performance employing novel semi-inset PM pole" (International Journal of Hydromechatronics 8(5) 2025), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Data Analysis Techniques and Strategies

The following sample articles from the International Journal of Data Analysis Techniques and Strategies are now available here for free:
  • Text mining on social media data: a systematic literature review
  • A user friendly anger and anxiety disorder prediction scheme using machine learning and a mobile application for mental healthcare
  • Analysis of machine learning's performance in stock market prediction, compared to traditional technical analysis indicators
  • Modelling the critical success factors of software development freelancing using an intuitionistic fuzzy DEMATEL approach
  • Sentiment analysis of Twitter data using machine learning: COVID-19 perspective

14 March 2025

Free sample articles newly available from International Journal of Business Continuity and Risk Management

The following sample articles from the International Journal of Business Continuity and Risk Management are now available here for free:
  • A brief literature review of renewable energy policies in Zimbabwe
  • DDoS analysis using machine learning: survey, issues, and future directions
  • Calculating the business continuity value by considering several destructive events and co-occurrence of risk factors
  • Principles and guidance on climate risk disclosure for businesses
  • Organisational factors that favour the development of the unity of effort needed to ensure organisational adaptability

Research pick: The power of social branding - "The role of social media as a brand communication tool: an exploratory work"

Social media has become a very useful tool for companies hoping to boost brand awareness, engagement, and loyalty among consumers. A study in the International Journal of Business Performance Management has looked at its role in detail and found that many companies are directly interacting with consumers, building stronger brand connections, and gaining a competitive edge.

Radhika Madan, a Soft Skills Trainer, in Gurgaon, Haryana and Manmohan Rahul of Sharda University in Greater Noida, Uttar Pradesh, India, surveyed 350 internet users to help them establish a reliable scale for measuring the effectiveness of brand communication via social media. They used Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to analyse their survey results and found that social media offers a more direct, cost-effective, and rapid means of reaching a wider customer base when compared with conventional media, such as television, papers and magazines, and even email.

The researchers emphasize that social media platforms allow businesses to undertake ongoing dialogues with consumers, which in turn boosts both brand visibility and loyalty. This is particularly important in hospitality, air travel, banking, telecommunications, and e-commerce.

One aspect of social media’s power is the potential to “go viral” when users share information about a brand or product with their networks, and the reach of that message expands quickly across the platform. Going viral can spread a brand message far wider and far more quickly than conventional advertising in many cases.

Of course, the concept of branding itself has evolved alongside the rise of social media. Traditionally, branding referred to creating a distinct identity for a company, highlighting its core values and differentiating it from competitors. Branding is no longer one-way traffic, the consumers themselves are part of the message and can have two-way, real-time conversations with businesses. This allows consumers to offer instantaneous feedback about products and services and gives businesses the means to respond to that feedback, whether positive or negative, just as quickly and to change their “offering” accordingly, if appropriate.

Madan, R. and Rahul, M. (2025) ‘The role of social media as a brand communication tool: an exploratory work’, Int. J. Business Performance Management, Vol. 26, No. 2, pp.228–249.