28 February 2025

Research pick: Social ties drive business - "Building your network, building your wealth"

Family-run micro-enterprises in India rely on more than just business acumen for financial success, according to a study in the International Journal of Social and Humanistic Computing. Researchers have explored the key factors contributing to the success of such businesses and have found that social networks, financial literacy, and entrepreneurial ambition play important roles in driving financial performance.

S. Bharathithasan and K. Sakthi Srinivasan of VIT University in Tamil Nadu, India, looked at the interactions between these factors and found that entrepreneurs with the strongest social networks, including connections with family, friends, and their local community, were more likely to achieve financial stability. Financial stability in this context being represented by a steady income, manageable debt, and overall financial security. Such stability then allowed those business owners to make better decisions to drive their company’s long-term growth.

The researchers suggest that the importance of social networks in this context cannot be overstated. In environments such as those in which many Indian micro-enterprises find themselves, resources are limited and competition is fierce. Social capital, an essentially intangible asset drawn from one’s personal and business relationships, plays a vital role in allowing business owners to face the many challenges. Strong connections within the community provide entrepreneurs with access to financial resources, business advice, and emotional support. Moreover, family and community ties offer micro-business owners a distinct advantage, helping them to mitigate risks, adopt new technologies, and respond more readily to market changes.

While social networks are clearly important, the researchers also showed that financial intelligence plays an important part in the success of micro-businesses. Financial intelligence refers to the ability to manage money effectively in terms of budgeting, investing, and making informed financial decisions. That said, the study found that the importance of financial literacy was not in terms of greater long-term financial success directly but rather in working synergistically with social capital.

The team adds that entrepreneurs with obvious ambition are more likely to take calculated risks and make decisions that contribute to sustainable growth. However, it is the foundational support of family and community that sets them up to realise their ambitions.

Bharathithasan, S. and Srinivasan, K.S. (2024) ‘Building your network, building your wealth’, Int. J. Social and Humanistic Computing, Vol. 4, No. 3, pp.253–276.

Free Open Access article available: "Optimisation and security fuzzy control of power wireless private networks in internet of things and 5G environments"

The following paper, "Optimisation and security fuzzy control of power wireless private networks in internet of things and 5G environments" (International Journal of Information and Communication Technology 26(4) 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 Biotechnology

The following sample articles from the International Journal of Biotechnology are now available here for free:
  • Detection of virulence-associated genes of Fusarium oxysporum and Geotrichum candidum strains in tomato cultivars from Nigeria
  • Bacteriological profile of blood culture isolation and their antibiotic susceptibility pattern in BIMR Hospital, Gwalior, India
  • The CHO cell line as a potentially safer host for cetuximab therapeutic antibody production than the Sp2/0 cell line
  • Perceptions of types, influences, and how select Central European entrepreneurship ecosystems developed in the biopharmaceutical sector
  • The yield and price effects of growing genetically modified corn: evidence from the US corn belt

Free Open Access article available: "Abnormal accrual estimation: an automation data analysis technique"

The following paper, "Abnormal accrual estimation: an automation data analysis technique" (International Journal of Data Analysis Techniques and Strategies 17(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 Advanced Mechatronic Systems

The following sample articles from the International Journal of Advanced Mechatronic Systems are now available here for free:
  • Finding the optimal path in a 3D environment with predefined obstacles
  • An echo state network-based feedforward feedback controller for application in dynamic systems control
  • Robust control for automatic voltage regulator system based on learning sliding mode control
  • TTower-345: a multi-categories multi-perspectives benchmark for automatic naming of transmission line inspection photos
  • Model-free design in a dual-rate system using finite impulse response filter

Research pick: Who’s smiley now? - "When emojis go bad: emotional and cognitive concerns on their exaggeration, mis-application and excessive usage"

Emoji are cartoon representations of human faces, animals, and various objects that were in some sense an extension of the text-character based representations known as emoticons or smileys. The term derives from Japanese – e “picture” + moji “character”, so the “emo” is a happy, and ironic, coincidence.

Emoji have become an integral part of digital communication, especially in the age of social media, helping convey emotions and tone in text-based interactions that often lack the nuances of face-to-face conversation. However, research in the International Journal of Social and Humanistic Computing suggests that inconsistency in the use of emoji can lead to confusion, frustration, and negative reactions, particularly in the context of social media.

Emmanuel Adu-Mensah, Solomon Odei-Appiah, and Raphael Amponsah of the Ghana Institute of Management and Public Administration in Accra, Ghana, surveyed 400 users to see how exaggeration, misapplication, and excessive use of emoji might distort communication and provoke unintended emotional responses. The team used the Cognitive Dissonance Process Model (CDPM) and found that discrepancies between a sender’s intended meaning and the recipient’s interpretation of a given emoji can create a sense of psychological discomfort, known as cognitive dissonance.

Cognitive dissonance occurs when there is a mismatch between a person’s attitudes or beliefs and their behaviour, leading to mental discomfort. In this case, when the use of emoji does not align with the message being conveyed, it triggers negative emotions such as frustration, confusion, and irritation. The study reveals that these emotional responses not only affect the quality of communication but also have the potential to affect detrimentally the relationships between sender and recipient. Emoji are often used as shorthand for expressing one’s feelings, but the study shows that their overuse or misapplication can cloud the original message.

A common issue that can arise is when a given user imagines a certain meaning for a specific emoji that isn’t the usual interpretation and their correspondent understands the emoji to mean something else. In the language of text messaging a similar issue arises with the use of LOL for instance, most people understand the meaning to be “laugh out loud”, but others infamously took it erroneously to mean “lots of love”. Similarly, in the world of emoji, a sender might that sharing the aubergine/eggplant, cucumber, banana, avocado, peach, or pineapple emoji that they are innocently discussing fruit and veg, whereas others would place an entirely NSFW (not safe for work) interpretation on the use of those emoji. Other examples of potentially confusing emoji are given in the footnote.

When things go wrong the “face with tears of joy” may well go all “sad face” and nobody will be “LOL” any more.

Adu-Mensah, E., Odei-Appiah, S. and Amponsah, R. (2024) ‘When emojis go bad: emotional and cognitive concerns on their exaggeration, mis-application and excessive usage’, Int. J. Social and Humanistic Computing, Vol. 4, No. 3, pp.277–306.

Footnote

More putatively confusing emoji
🤔 Thinking Face: Suggestive of a pondering expression, but can also be interpreted as a sarcastic or uncertain face.
😕 Confused Face: It’s meant to show confusion, but some people might read it as just a neutral or slightly frustrated face.
🙄 Face with Rolling Eyes: This emoji can indicate annoyance or sarcasm, but it could also be used to show disinterest or exhaustion.
🥴 Woozy Face: Is this someone who’s drunk, sick, or just extremely tired? The context really changes how it is perceived.
😬 Grimacing Face: This emoji can be used for awkward situations, nervousness, or even a forced smile, so its meaning can vary widely.
💀 Skull: Commonly associated with death, but also used humorously to mean “I died laughing”.
👀 Eyes: While it usually means someone is watching or observing, it can also be used to draw attention or suggest something is shady or suspicious.
🤯 Exploding Head: It’s meant to allude to something mind-blowing, but can also come across as meaning overwhelmed or confused.
🙈 See-No-Evil Monkey: This could be interpreted as “I don’t want to see that,” but might also be playful or used to express embarrassment.
🥺 Pleading Face: While many people see it as a pleading or begging expression, others might interpret it as a coy or overly dramatic look.

27 February 2025

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.
  • Accurate positioning system in complex environment based on Beidou dual frequency differential positioning technology
  • Automatic separation robot system of insulated optical units of OPGW optical cable combined with machine vision
  • Intelligent monitoring of icing condition of transmission lines based on intelligent vibration model
  • Image fusion using a transfer learning-based convolutional neural network
  • A light end-to-end comprehensive attention architecture for advanced face parsing
  • Analysis of English learning community interaction patterns in social networks based on knowledge graphs
  • Analysis and application of college students' academic emotions based on deep learning and psychological status
  • Optimisation of visual communication design methods based on scalable machine learning

Free sample articles newly available from International Journal of System of Systems Engineering

The following sample articles from the International Journal of System of Systems Engineering are now available here for free:
  • Code smells and refactoring: a tertiary systematic literature review
  • Performance analysis of internet of things-enabled WSN for agriculture
  • Battery ageing management using war optimisation in electric vehicle applications
  • Wireless sensor network data gathering using a multi-fold gravitational search algorithm with a mobile agent
  • Enhancing the performance assessment of network-based and machine learning for module availability estimation

Free Open Access article available: "Digital transformation in higher education: tertiary students’ perspectives on online learning and its implications for the future"

The following paper, "Digital transformation in higher education: tertiary students' perspectives on online learning and its implications for the future" (International Journal of Innovation and Learning 37(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 Services, Economics and Management

The following sample articles from the International Journal of Services, Economics and Management are now available here for free:
  • The study of consumers' post-purchasing behavioural intentions towards organic foods in an emerging economy: from the S-O-R model perspective
  • Forecasting symbiosis in tourism enterprise networks: Monte Carlo simulation of risk and return
  • High degree of informality in tourismscape: a threat to tourism service sustainability
  • Motivation and organisational culture from the perspective of SME employees - a case study at the time of COVID-19 pandemic
  • Effect of perceived supervisor support and social support on employees work engagement: how career optimism mediates the relationships
  • Investigating the influence of service quality on loyalty in banking industry: the role of customer engagement

Prof. Amir Hasnaoui appointed as new Editor in Chief of International Journal of Management and Network Economics

Prof. Amir Hasnaoui from Excelia Business School in France has been appointed to take over editorship of the International Journal of Management and Network Economics.

Research pick: That’s what friends are for - "Network effects in friend-to-friend resource sharing network"

We could all get by with a little help from our friends, a new study on a novel networking protocol suggests. Research in the International Journal of Social and Humanistic Computing has looked at Friend-to-Friend (F2F) systems, which are decentralized networks that allow individuals to exchange computing power and storage. F2F systems are the kissing cousins of P2P, peer-to-peer networks that allow files to be shared. They allow resources, rather than simply digital entities (images, documents, video etc) to be shared without the need for a central server or any intermediaries.

The research by Pramod C. Mane of the Indian Institute of Management Rohtak in Haryana, India, highlights the role of network effects, known as externalities, in determining the flow of resources and how the formation of new connections between peers influences resource availability across the system.

For F2F systems, the value of a network increases as more participants join or interact within the system. In other words, each new friend has the potential to enhance the availability of shared resources. The research investigates both local and global network effects and the impact of new connections not only on the peers directly involved but also on other members of the broader network.

Mane has found that a crucial effect on the network is the distance between peers when a new link is formed. If the physical or logical distance between two connected peers is greater, so the local network effect, the benefits to friends, becomes weaker. Conversely, when peers are more closely connected, the best of friends one might say, there is more chance that the new link will positively impact the broader network, increasing the availability of resources to nearby participants.

However, it is worth noting that one can have too many friends. The density of the network, the number of active connections, has a complex relationship with resource availability. While adding more connections increases value it also introduces unpredictability. In highly dense networks, the creation of new links can negatively affect resource distribution. The research thus suggests that it is worth controlling network density or prioritizing connections that reduce the distance between peers. If no one told you life was going to be this way, keep your friends close, but your enemies closer to ensure the F2F system can continue to distribute resources reliably.

Mane, P.C. (2024) ‘Network effects in friend-to-friend resource sharing network’, Int. J. Social and Humanistic Computing, Vol. 4, No. 3, pp.232–252.

Research pick: Digital learning’s equity challenge - "Digital transformation in higher education: tertiary students’ perspectives on online learning and its implications for the future"

Research in the International Journal of Innovation and Learning has looked at the rapid transition to online learning at Hong Kong’s tertiary institutions. The study sheds new light on the problems and opportunities presented by digital education and reveals that students from lower-income households face particular challenges.

Jessie Ming Sin Wong, William Ko Wai Tang, and Kam Cheong Li of Hong Kong Metropolitan University in Homantin surveyed 400 students in higher education to uncover what factors, such as access to technology, educator competency, learning environments, and privacy concerns, influenced the student experience.

One of the most striking findings is the disparity in the ability of different students to access and benefit from online learning. While most participants had the necessary devices, issues such as poor internet connectivity and disruptive home environments emerged as significant barriers to effective learning, particularly for students from lower-income families. These students were more likely to experience problems that hindered their academic performance. Many students noted that while they valued the flexibility of online classes, they struggled to maintain focus without the structure of in-person teaching. Social interaction, a key component of traditional classrooms, was another missing element that students cited as negatively impacting their overall learning experience.

Nevertheless, the team found that most students surveyed found that their instructors were reasonably proficient with the digital tools required for online teaching. Concerns about privacy were, however, often mentioned. Students expressed unease about the use of webcams and the security of their online interactions, particularly regarding data privacy. This finding underscores the need for institutions to not only address educational quality but also ensure that student privacy is protected.

The team suggests that a hybrid or agile-blended learning model, one that combines online education with in-person sessions, would give students more balance in their learning. This approach would allow universities to take advantage of the flexibility of online learning while also providing face-to-face interaction.

Wong, J.M.S., Tang, W.K.W. and Li, K.C. (2025) ‘Digital transformation in higher education: tertiary students’ perspectives on online learning and its implications for the future‘, Int. J. Innovation and Learning, Vol. 37, No. 5, pp.1-18.

26 February 2025

Free Open Access article available: "Optimisation of visual communication design methods based on scalable machine learning"

The following paper, "Optimisation of visual communication design methods based on scalable machine learning" (International Journal of Information and Communication Technology 26(3) 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 Technological Learning, Innovation and Development

The following sample articles from the International Journal of Technological Learning, Innovation and Development are now available here for free:
  • An exploratory study of the impact of perceived fake news on brand attachment: mediating role of brand trust and consumer-brand identification
  • Financial technology: an alternative for financing small and medium-sized enterprises in Nigeria
  • Data analytics for national innovation research: a systematic literature review
  • Influence of a knowledge-based economy on foreign direct investment in regional comprehensive economic partnership economies
  • Triple Helix model: leveraging endogenous innovation systems for economic transformation in Africa

Free Open Access article available: "Analysis and application of college students' academic emotions based on deep learning and psychological status"

The following paper, "Analysis and application of college students' academic emotions based on deep learning and psychological status" (International Journal of Information and Communication Technology 26(3) 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 Systems, Control and Communications

The following sample articles from the International Journal of Systems, Control and Communications are now available here for free:
  • Dynamic framework towards sustainable and energy-efficient routing in delay tolerant IoT-based WSNs
  • Review and analysis for state-of-the-art NLP models
  • Clock synchronisation method for wireless sensor networks based on phase compensation
  • Approximation of fractional-order MIMO system - a unified approach
  • Synchronisation scheme for cluster-based interconnected network of nonlinear systems

Free Open Access article available: "Analysis of English learning community interaction patterns in social networks based on knowledge graphs"

The following paper, "Analysis of English learning community interaction patterns in social networks based on knowledge graphs" (International Journal of Information and Communication Technology 26(3) 2025), is freely available for download as an open access article.

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

Prof. Bijan Vasigh appointed as new Editor in Chief of International Journal of Aviation Management

Prof. Bijan Vasigh from Embry-Riddle Aeronautical University in the USA has been appointed to take over editorship of the International Journal of Aviation Management.

25 February 2025

Free sample articles newly available from International Journal of Business Excellence

The following sample articles from the International Journal of Business Excellence are now available here for free:
  • Sustainability practices and competitive advantage: implications for listed manufacturing companies in Nigeria
  • Developing an integrated framework of application of wearable devices in education
  • The mediating role of customers' emotional attachment in enhancing service excellence and repurchase intentions of low-cost carrier airlines
  • The role of social media marketing in revenue enhancement: a case of FIFA World Cup, 2022 in Qatar
  • Investigating the impact of social media marketing on research online and purchase offline for fashion luxury brands
  • DMAIC methodology for productivity improvement of preventive maintenance in an oil and gas company

Free Open Access article available: "A light end-to-end comprehensive attention architecture for advanced face parsing"

The following paper, "A light end-to-end comprehensive attention architecture for advanced face parsing" (International Journal of Information and Communication Technology 26(3) 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 Work Organisation and Emotion

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  • A conceptualisation of a framework for the determinants of team diversity on team performance
  • Strategic use of flowers for creating recreational values in organisations
  • Workplace spirituality and organisational citizenship behaviour: an impact study
  • The effect of organisational justice across firm HR practices on employee job satisfaction and firm performance
  • Influence of family-work conflict on career break decision among Indian women: when family ties, tie you down!

Free Open Access article available: "Image fusion using a transfer learning-based convolutional neural network"

The following paper, "Image fusion using a transfer learning-based convolutional neural network" (International Journal of Information and Communication Technology 26(3) 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 Environmental Technology and Management

The following sample articles from the International Journal of Environmental Technology and Management are now available here for free:
  • Maximum power point tracking for grid tied solar fed DTC controlled IM drive using artificial neural network with energy management
  • Environmental quality of the Oued Lârbaa, Morocco: a multivariate approach using physicochemical parameters, indicator bacteria and parasite and floristic monitoring
  • Economic security and enterprise management in the conditions of an environmental economy as a basis for sustainable development
  • Analysis on the spatial dynamic characteristics of land use in the urban agglomeration in central Yunnan based on random forest algorithm
  • The numerical simulation of thermal environment of high-rise buildings based on Rosseland radiation model
  • Spatial planning method of urban landscape architecture distribution pattern based on evolutionary algorithm
  • A risk detecting and preventing system for hazardous chemicals in energy industry based on knowledge graph
  • A monitoring method of surface vegetation distribution in the Yellow River Basin based on remote sensing image segmentation
  • A drought monitoring method in the Yellow River basin based on boundary extraction of remote sensing images
  • Changes and variability of rainfall amounts and extreme indices in Gedeo Zone, Southern Ethiopia

24 February 2025

Research pick: Automating abnormal accruals analysis - "Abnormal accrual estimation: an automation data analysis technique"

A new tool known as abnormalest has been developed to help researchers more easily identify unusual financial patterns, a task that plays an important role in both accounting and social science research. By automating the estimation of unusual accruals, the tool, discussed in the International Journal of Data Analysis Techniques and Strategies, could overcome the inefficiencies of traditional methods, which are often time-consuming and error-prone.

Francesca Rossignoli and Nicola Tommasi of the University of Verona, Italy, explain that abnormal accruals refer to the discrepancies between what is reported in a financial statement and what the actual finances are. Such discrepancies can be indicative of manipulation, where managers alter financial reports for personal benefit. The conventional approach to estimating abnormal accruals is a complex process involving manual calculations, the selection of control samples, and the application of specific conditions to detect the problems. abnormalest has been developed to automate the key steps.

The tool can select appropriate control samples, carry out entropy balance pre-processing, and then use predictive models such as regression-based techniques to estimate abnormal accruals. This kind of automation is much faster than manual approaches and makes far fewer mistakes.

The abnormalest system provides a more detailed output than traditional methods. It includes valuable information such as the abnormal accrual measure, degrees of freedom, and explanations for any estimation failures. This is information that conventional approaches cannot easily provide.

Although originally designed with accounting research in mind, abnormalest might also be used in the social sciences. Its flexibility allows it to be used in a variety of contexts, from identifying fraud to assessing unusual business performance or examining behaviour that deviates from the norm.

The researchers have successfully tested the system using real-world financial datasets. They found that it performs better than existing models used in academic research.

Rossignoli, F. and Tommasi, N. (2025) ‘Abnormal accrual estimation: an automation data analysis technique’, Int. J. Data Analysis Techniques and Strategies, Vol. 17, No. 5, pp.1–18.

21 February 2025

Research pick: Brand on the run - "A combined approach to explore the drivers of green brand loyalty"

Research published in the International Journal of Services and Standards has looked at the factors that driving brand loyalty around “green” products in Vietnam. The work by Truong Thi Hue and Pham Thi Thanh Hang of the Vietnam National University in Hanoi, and Tran Anh Phuong of Hanoi University of Industry, Vietnam, surveyed hundreds of consumers in depth and offers several insights into what makes consumers stick to such environmentally friendly electronic products. Given that environmental concerns play an important role in shaping consumer choices, the research highlights how businesses might tap into the growing demand for sustainable products.

The team explains that their research finds an important factor in consumer buying decisions – green perceived value. This is a measure of the benefits consumers believe they gain from a product’s environmental attributes. Indeed, this is the most important driver of purchasing decisions followed by “green trust,” or the confidence consumers place in a brand’s environmental claims.

Green perceived value and green trust function synergistically and can even outweigh conventional brand image and so change consumer behaviour. In other words, the researchers suggest, consumers are more likely to remain loyal to a green brand if they believe the product offers real value and if they trust that the company is genuinely committed to sustainability.

The findings are particularly poignant for businesses in the electronics sector like electronics, where consumers often place high importance on product quality and reliability. If environmental credibility is now becoming an important factor in buying decisions, those companies need to move quickly if they are to benefit. Those that do not adapt to the green demands of consumers will inevitably be left behind. Quality and brand remain important but sustainability and green credibility are overtaking those as more important for the modern consumer.

Hue, T.T., Phuong, T.A. and Hang, P.T.T. (2024) ‘A combined approach to explore the drivers of green brand loyalty’, Int. J. Services and Standards, Vol. 14, No. 3, pp.268–289.

20 February 2025

Research pick: Fogged up healthcare clouds - "A secure health monitoring system based on fog to cloud computing"

The healthcare sector is increasingly turning to innovative solutions to meet the needs of an ageing population. A new framework based on Fog-to-Cloud (F2C) computing, promises to revolutionize healthcare for older people by enabling real-time, remote monitoring of health metrics while addressing concerns surrounding data privacy and security.

Writing in the International Journal of Medical Engineering and Informatics, Hafida Saidi and Nabila Labraoui of the University of Abou Bekr Belkaid in Chetouane Tlemcen, Algeria, and Ado Adamou Abba Ari of the University Paris-Saclay in Versailles, France, explain that healthcare for seniors has conventionally involved direct visits to or from healthcare providers. Regular checkups, tests, and diagnoses have usually been done face-to-face. However, with a growing number of older people with a range of health problems, this model is becoming unsustainable. Innovations such as the medical equivalent of the Internet of Things (IoT), the Internet of Medical Things (IoMT) could change all that.

Smart medical devices, sensors, and health applications connected through the internet offer the possibility of remote monitoring. This would allow physicians and other healthcare providers to track their patients’ conditions from remotely, as well as potentially prescribing and administering treatments.

While this technology has the potential to reduce clinic and hospital visits and improve access to healthcare overall, it comes with significant challenges around the safeguarding of sensitive medical data.

The new framework address these concerns by combining the strengths of cloud and fog computing. Fog computing, which places computational power closer to the source of data (such as at the patient’s home or nearby healthcare facilities), reduces the amount of data that needs to be transmitted to distant cloud servers. This allows for faster processing times and reduces the strain on networks, which is crucial for real-time applications like health monitoring. The proposed Fog-to-Cloud computing builds on this idea by enhancing storage capabilities, minimizing network traffic, and lowering latency, that are safe from hackers, data breaches, and inadvertent access by third parties within healthcare.

Saidi, H., Labraoui, N. and Ari, A.A.A. (2025) ‘A secure health monitoring system based on fog to cloud computing’, Int. J. Medical Engineering and Informatics, Vol. 17, No. 1, pp.30–43.

19 February 2025

Research pick: Community helps drives brand loyalty - "Beyond likes and shares: the secret to building stronger brands on social media from a privacy calculus perspective"

As social media becomes increasingly a part of marketing strategies, businesses are investing heavily in the platforms to reflect the ability to reach and engage with target audiences. However, according to work in the International Journal of Internet Marketing and Advertising one aspect of social media marketing remains relatively underexplored, the impact on building long-term brand loyalty.

Sohail Ahmad and Li Liang of Southwest Jiaotong University in Chengdu, China, Ahmad Iqbal of The Islamia University of Bahawalpur, and Irshad Hussain Sarki of the National College of Business Administration and Economics both in Pakistan, have considered this gap in our knowledge and focused on the role of community engagement as a mediating factor in the development of brand loyalty through social media. By examining how consumer participation in online communities influences loyalty, the team shows how companies might better improve engagement and increase loyalty through judicious choices surrounding digital channels.

The concept of brand loyalty can be central to the success of any business. Loyal customers are more likely to make repeat purchases as well as advocating for the brand. Marketers have long recognized the importance of loyalty, but fostering such loyalty has become more complex in the age of social media. The study shows that while social media marketing activities can directly influence brand loyalty, this influence is most effective when mediated by active engagement within online communities. The findings were built on three key theoretical frameworks: Stimulus-Organism-Response theory, Service-Dominant logic, and the concept of privacy calculus. S-D logic has perhaps the greatest relevance in showing how the collaborative nature of value creation, where brands and consumers co-create value through interactions, affects loyalty.

Fundamentally, consumers who engage more with brands and other community members on social media are more likely to feel a stronger connection to the brand, which leads to greater loyalty over time.

Ahmad, S., Liang, L., Iqbal, A. and Sarki, I.H. (2025) ‘Beyond likes and shares: the secret to building stronger brands on social media from a privacy calculus perspective’, Int. J. Internet Marketing and Advertising, Vol. 22, No. 1, pp.72–97.

18 February 2025

Research pick: Rooted reading recommendations - "An ELM-based approach to promoting reading of library books"

As the number of digital resources expands and expands it becomes increasingly difficult to recommend reading matter. Research in the International Journal of Information and Communication Technology has led to a new artificial intelligence (AI) system that improve on precision and variety of book recommendations for online library goers. The new approach blends two established techniques, content-based filtering (CBF) and collaborative filtering (CF), and then has its roots in an advanced machine learning algorithm – Extreme Learning Machine (ELM) – which allows it to come up with the perfect personalized recommendation for the reader.

In traditional recommendation systems, Tianhao Wu of Changchun University of Technology, China explains, content-based filtering suggests books based on a book’s attributes, such as its title, author, and genre. Collaborative filtering by contrast makes recommendations based on user behaviour, what books they have read previously and how they rated them. By combining both systems with ELM, the new hybrid model aims to improve the accuracy of suggestions while also increasing their diversity, better reflecting a user’s unique preferences and opening them up to new books they may not have encountered otherwise but will hopefully enjoy.

ELM can process large datasets quickly and efficiently, which is particularly useful in the context of online libraries, where both the number of books and user interactions can be immense. Unlike traditional neural networks, ELM reduces the complexity of training by randomly generating weights for each entry. This allows it to adapt to new data much more quickly than other approaches and with greater accuracy.

As digital libraries continue to grow, this new hybrid system holds the potential to transform how books are recommended to users, making their library experiences more personalized and efficient. The team will attempt to address remaining challenges such as the cold-start problem facing new users about which there is initially no reading experience data and similarly with new books from new authors that equally lack a data history.

Wu, T. (2025) ‘An ELM-based approach to promoting reading of library books’, Int. J. Information and Communication Technology, Vol. 26, No. 2, pp.82–95.

17 February 2025

Research pick: The pandemic pivot for SMEs - "New media technologies and small and medium enterprises: evidence from the COVID-19 period"

Small and medium-sized enterprises (SMEs) play an important role in the economy of the United Arab Emirates. Indeed, SMEs represent 94% of businesses and employ 86% of the workforce. When the COVID-19 pandemic struck, these businesses faced numerous challenges, including closures, financial instability, and disruptions to supply chains. A study in the International Journal of Entrepreneurship and Small Business has looked at how those SMEs addressed the issues and the role new media technologies played in how they were able to adapt and recover from the pandemic.

Bharti Pandya, Shreesha Mairaru, Asma Buhannad, and Leena Daroo of the Higher Colleges of Technology, Abu Dhabi, United Arab Emirates, highlight the immediate impact the pandemic had and how widespread this was as well as looking at the significant longer-term consequences for many SMEs. The team explains that these businesses were forced to adjust their operations quickly in order to survive. The team showed that social media, e-commerce platforms, and other digital tools were critical in this, helping businesses shift their strategies during the crisis. Once lockdowns and social distancing measures had begun to limit traditional business practices, those technologies allowed businesses to continue reaching customers, marketing their products, and managing operations remotely.

However, although new media technologies were important in the short term, the study shows that they led to longer-term changes in SMEs. Once these digital tools were integrated into the core business functions of those companies, they became critical to sustaining competitiveness as the economy changed after the pandemic. The researchers suggest that digital adoption was not simply a sticking plaster for the pandemic times, but a necessary treatment for the ongoing health of SMEs. Indeed, they explain that the integration of digital tools into communication and customer outreach have helped sustain growth beyond the initial crisis.

Of course, some SMEs needed different digital strategies and not all were able to adapt and survive. Response depended on sector and company size, with some SMEs needing more time and resources to adopt the digital tools and others finding that there were no platforms to meet their specific needs. The team concludes that any business needs to consider which digital tools are best suited to its objectives and resources carefully, and particularly in responding to a global crisis.

Pandya, B., Mairaru, S., Buhannad, A. and Daroo, L. (2025) ‘New media technologies and small and medium enterprises: evidence from the COVID-19 period’, Int. J. Entrepreneurship and Small Business, Vol. 54, No. 3, pp.403–422.

14 February 2025

Free Open Access article available: "Intelligent monitoring of icing condition of transmission lines based on intelligent vibration model"

The following paper, "Intelligent monitoring of icing condition of transmission lines based on intelligent vibration model" (International Journal of Information and Communication Technology 26(3) 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: "Automatic separation robot system of insulated optical units of OPGW optical cable combined with machine vision"

The following paper, "Automatic separation robot system of insulated optical units of OPGW optical cable combined with machine vision" (International Journal of Information and Communication Technology 26(3) 2025), is freely available for download as an open access article.

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

Research pick: Educational cloud watching - "Online education resource integration method for painting teaching of art majors based on cloud platform"

Research in the International Journal of Computational Systems Engineering has looked at the challenges facing online education systems in terms of improving efficiency and avoiding redundancy in cloud computing platforms. Muchao Zhang of Nanjing Xiaozhuang University, China, offers a new approach to integrating educational data from various sources, models, and formats, all with the aim of improving cloud the efficiency.

Zhang shows how cloud platforms, known for their scalability, flexibility, and security, have already become an essential component of online education. However, the diverse nature of educational data, video lectures and digital textbooks, for instance, creates problems. Different data formats and structures can lead to redundancy, confusion, and inefficient allocation of computing resources. This then reduces the potential for the educational content to be as streamlined as possible.

To address this, Zhang has developed an approach that combines algorithms to help integrate the disparate data types. The various algorithms can each resolve a different issue associated with data integration. For example, the PMI-Simhash algorithm helps identify similarities between data sets, the BSM model aids in classifying the information more accurately, and the US-EM algorithm improves the matching of entities across different systems without needing manual intervention. The result is an integrated approach that minimizes redundancy and ensures that educational resources are much better organized than they otherwise would be.

Zhang has how these algorithms can work together using an online painting course for art students. The approach merges multimodal data, text, images, and video, and proved highly effective in terms of accuracy, speed, and resource usage. By improving the accuracy of data matching, Zhang’s approach could ensure that students access the right resources at the right time, improving both the learning experience and resource management.

Zhang, M. (2025) ‘Online education resource integration method for painting teaching of art majors based on cloud platform’, Int. J. Computational Systems Engineering, Vol. 9, No. 5, pp.1–10.

Free Open Access article available: "Accurate positioning system in complex environment based on Beidou dual frequency differential positioning technology"

The following paper, "Accurate positioning system in complex environment based on Beidou dual frequency differential positioning technology" (International Journal of Information and Communication Technology 26(3) 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: "Social network of confident attitudes with response time testing"

The following paper, "Social network of confident attitudes with response time testing" (International Journal of Applied Management Science 16(5) 2024), is freely available for download as an open access article.

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

13 February 2025

Free Open Access article available: "Unravelling net zero practices, strategies and barriers among businesses in a UK region"

The following paper, "Unravelling net zero practices, strategies and barriers among businesses in a UK region" (International Journal of Business Performance Management 26(8) 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 delay betrays bias - "Social network of confident attitudes with response time testing"

A team from India, Netherlands, Poland, and Switzerland has looked at how to improve data analysis and to reduce the inherent bias in social network analysis. Writing in the International Journal of Applied Management Science, the researchers recognise that in quantitative surveys and social network analysis, the accuracy of data can often be skewed by biases in how respondents answer the questions. One particular form of bias, known as declarative bias, poses a significant threat to the reliability of survey results, particularly when addressing complex social issues.

Declarative bias occurs when survey participants, consciously or unconsciously, provide answers influenced by social expectations, fatigue, or external pressures rather than reflecting their true attitudes or beliefs. This type of bias is particularly problematic when the research seeks to inform public policy, as it can lead to misleading conclusions about society’s attitudes and behaviour and thus inappropriate policies.

Response time testing could offer an answer. The assumption is that a more immediate response tends to reflect a stronger, more internalized opinion, while a slower response may reflect uncertainty or a response swayed by external factors, such as social desirability or reading into the questions themselves to work out what the right answer might be. By distinguishing between these types of responses, the researchers suggest that it might be possible to segregate strong answers from the flimsy.

They tested their approach on an international survey conducted in Spain and Sweden to explore attitudes toward the COVID-19 pandemic. Their results were striking. By homing in on high-confidence, fast responses, the team could see a much greater diversity of opinion. By contrast, a conventional analysis, where declarative bias was present, showed much more homogeneous opinions.

The findings have implications for public policy and health interventions based on surveys of the public or stakeholders on a given topic. For instance, public health policies based on the assumption of uniform public opinion on issues such as the pandemic might fail to address the subtleties of diverse opinions from different groups. By reducing declarative bias in the analysis of surveys, it should be possible to form policy that takes into account diverse opinions and needs.

Fernandez, G.P., Norré, B.F., Reykowska, D., Dutta, K., Nguyen-Phuong-Mai, M., Fernandez, J. and Ohme, R. (2024) ‘Social network of confident attitudes with response time testing’, Int. J. Applied Management Science, Vol. 16, No. 5, pp.1–31.

Free Open Access article available: "Development of precision analysis method of tooth profile in gear skiving process with shape projection of removal area"

The following paper, "Development of precision analysis method of tooth profile in gear skiving process with shape projection of removal area" (International Journal of Abrasive Technology 12(5) 2024), 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: "Analysis of the differences and spatial-temporal dynamic evolution of the environmental sustainability of the Yangtze River Economic Belt in China"

The following paper, "Analysis of the differences and spatial-temporal dynamic evolution of the environmental sustainability of the Yangtze River Economic Belt in China" (International Journal of Shipping and Transport Logistics 19(5) 2024), is freely available for download as an open access article.

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


12 February 2025

Free sample articles newly available from International Journal of Structural Engineering

The following sample articles from the International Journal of Structural Engineering are now available here for free:
  • Tensile characterisation of semi-cured epoxy-impregnated FRCM using digital image correlation technique
  • Seismic assessment of base-isolated reinforced concrete moment-resisting frames
  • Method for calculating compression resistance of reinforced masonry elements using deformation diagrams
  • A multilevel iterative algorithm for robust nonlinear dynamic analysis of force-based beam structure
  • Exploring the dynamics of vibration and impact loads: a comprehensive review

Research pick: Tightening the Yangtze belt - "Analysis of the differences and spatial-temporal dynamic evolution of the environmental sustainability of the Yangtze River Economic Belt in China"

Research in the International Journal of Shipping and Transport Logistics has looked at the environmental sustainability of the Yangtze River Economic Belt (YREB) and raises important points about the region’s ability to balance rapid economic growth with ecological preservation. Zhimei Lei, Shanshan Cai and Shaoxin Zhuo of Kunming University of Science and Technology, Yui-yip Lau of The Hong Kong Polytechnic University, and Ming Kim Lim of the University of Glasgow, UK, explain that the YREB encompasses eleven provinces and cities. The region thus plays a pivotal role in the national economy of China. However, its development has often been marred by significant environmental challenges, such as pollution, resource depletion, and ecological degradation.

The team examined almost two decades of data on sustainability levels across the YREB, using an innovative evaluation framework and a “pressure-state-response” (PSR) model. This latter tool allowed the team to link environmental pressures to the condition of the environment and the responses to the problems set in motion by policymakers. As such, the work integrates both qualitative indicators, such as government policies and key speeches, and quantitative data, making it particularly well-suited for the complex realities of the YREB.

Improving environmental sustainability over the study period could be seen in the data with the middle and upper regions of the YREB showing the most progress. However, the research also showed that there are persistent regional disparities. The lower regions of the YREB, in particular, lag behind in terms of environmental sustainability, which could have long-term implications for the overall ecological health of the area. Moreover, despite some obvious progress, there is no clear improvement in sustainability levels even between neighbouring provinces.

This, the researchers suggest, implies that effective collaboration across the YREB is not occurring. The team explains the disparities as perhaps being due to a combination of intra-regional and inter-regional factors: levels of industrialization, policy implementation approaches, and investment in green technologies. The implication is that there is a pressing need for more coordinated action between the YREB’s provinces and cities. The team adds that the creation of a platform for sharing environmental data and research could be used to improve governance and decision-making across the whole region.

Lei, Z., Cai, S., Zhuo, S., Lau, Y-y. and Lim, M.K. (2024) ‘Analysis of the differences and spatial-temporal dynamic evolution of the environmental sustainability of the Yangtze River Economic Belt in China’, Int. J. Shipping and Transport Logistics, Vol. 19, No. 5, pp.1–41.

Free Open Access article available: "Online education resource integration method for painting teaching of art majors based on cloud platform"

The following paper, "Online education resource integration method for painting teaching of art majors based on cloud platform" (International Journal of Computational Systems Engineering 9(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 Internet Manufacturing and Services

The following sample articles from the International Journal of Internet Manufacturing and Services are now available here for free:
  • Utilisation of convolutional neural network on deep learning in predicting digital image to tree damage type
  • Research on cloud anti-counterfeiting product packaging design based on internet of things
  • Management of class-room stress with the help of Vedic teaching philosophy
  • The impact of artificial intelligence chatbots' communication style on customer satisfaction in different service settings
  • An abnormal node location method of industrial internet of things based on feature fuzzy clustering
  • Fault location method of industrial Ethernet communication line based on Bayesian

11 February 2025

Free sample articles newly available from International Journal of Work Innovation

The following sample articles from the International Journal of Work Innovation are now available here for free:
  • Recreational activity and intention revisit: the role of destination personality, self-congruence and functional fit: the case of Mudurnu
  • The role of organisational career management in enhancing employees' self-competence and the influence of organisational learning culture as moderator with specific reference to the IT industry
  • The mediating and moderating effect of organisational justice and transformational leadership on employee mindfulness and employee wellbeing
  • Generational difference on the leadership competencies for the 21st century: a literature review
  • Innovation capability as a catalyst: unravelling the mediating effect between entrepreneurial orientation and firm performance in family businesses

Open Access issue published by International Journal of Economics and Business Research

The International Journal of Economics and Business Research has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Are abnormal accruals values relevant? Evidence from Sub-Saharan Africa
  • Factors influencing customer loyalty via purchase intention toward manufacturing firms in Vietnam
  • Employee empowerment and job satisfaction in the evolving digital banking workplace

Research pick: Employee empowerment in the digitalized workplace - "Employee empowerment and job satisfaction in the evolving digital banking workplace"

Research in the International Journal of Economics and Business Research has looked at the relationship between employee empowerment and job satisfaction, with a particular focus on the banking sector in Greece. As digital technologies reshape the modern workplace, are traditional concepts of empowerment being put to the test, the study asks. George Papageorgiou, Kyriakos Christofi, Aikaterini Gelinou, Andreas Efstathiades, and Elena Tsappi of the European University Cyprus in Nicosia, Cyprus, found which strategies can boost job satisfaction in an increasingly digitalized environment and offer managers insights for navigating this transformation.

The team identified four important empowerment practices that apparently contribute positively to an employee’s level of job satisfaction. First, a well-defined organizational mission, combined with performance-based rewards, strengthens how much the employee aligns themselves in a positive way with company goals, thus giving them more of a sense of purpose. Secondly, organisations that allow employees a degree of autonomy in decision-making gives them a sense of so-called ownership over their role. This too increases engagement and involvement in the organisation’s success. Thirdly, by delegating certain managerial responsibilities to lower-level employees, an organisation can promote a sense of trust and accountability even in more junior employees. Finally, effective communication between departments ensures that employees feel informed and supported by the organisation and their colleagues above and below them in the hierarchy.

However, the team also found that problems can arise when there is excessive standardization. While consistency and efficiency are important to success within an organisation, overly rigid structures can stymie initiative and limit career growth opportunities. The team suggests that as workplaces become more digitalized, organisations must find the right balance between structured processes and allow sufficient flexibility to encourage innovation and employee development.

The team adds that job-enrichment strategies, such as decentralization, team-based collaboration, and the use of digital tools, can boost engagement and job satisfaction. Specifically, with regard to the latter, technologies that allow flexible work arrangements and facilitate communication across different locations can improve engagement and satisfaction.

Papageorgiou, G., Christofi, K., Gelinou, A., Efstathiades, A. and Tsappi, E. (2025) ‘Employee empowerment and job satisfaction in the evolving digital banking workplace‘, Int. J. Economics and Business Research, Vol. 29, No. 8, pp.41-60.

Free sample articles newly available from International Journal of Computational Systems Engineering

The following sample articles from the International Journal of Computational Systems Engineering are now available here for free:
  • Depression prediction and therapy recommendation using machine learning technique
  • A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities
  • A study of personalised recommendation methods for multimedia ELT online course
  • A study on the application of teaching differential equations in higher mathematics based on visual network topology algorithm
  • Blockchain technology: a tool to solve the challenges of the education sector in developing countries
  • A transfer learning-based model for assessing university students' innovation and entrepreneurship
  • A review of hybrid collaborative filtering algorithms for ELT resources under cognitive diagnosis price
  • Research on the integration of English online teaching resources based on improved association rule algorithm
  • A corpus-based study on the characteristics of the use of spoken English chunks
  • Analysis of word vector combined with group intelligence perception based on STEM concept for ELT word recommendation strategy
  • Designing remote sharing system of network education resources for software engineering specialty based on web technology
  • Research on an online teaching system for ethnic music courses incorporating fuzzy control and CRP algorithms
  • A data mining-based approach to integrating multimedia English teaching resources

10 February 2025

Free sample articles newly available from International Journal of Nanomanufacturing

The following sample articles from the International Journal of Nanomanufacturing are now available here for free:
  • Output characteristics test of piezo-stack actuators for driving high stiffness loads with different preload
  • Study on electrical characteristic and flyer driven ability of Al/Cu exploding foil
  • Fly cutting surface profile mathematical model using kinematic motion errors and cutting parameters
  • Significance of nanomedicines and recent advancement in vaccine formulations for combating SARS-CoV2
  • Fabrication and performances of TaN@(Al/CuO) thin film

Research pick: Copper tops trash talk - "Electrochemical recovery of copper from the waste computer printed circuit board"

Electronic waste, including PCBs, is a rapidly growing problem as consumers endlessly replace their electronic gadgets. Regulations can go so far to nudge this waste into a recycling stream, but there is still the pressing need for the technology to process the waste.

The retrieval and extraction of useful metals from electronic waste will be a critical part of creating a sustainable future if that is to be technology led. Many metals are relatively rare or found only in geopolitically sensitive regions of the world. More to the point, we have tonnes of discarded devices, circuit boards, and wiring sitting in recycling dumps and landfills. If there were a simple way to extract metals, such as copper, from these resources, that use less energy and fewer resources than mining the ores, then that would offer us a more environmentally friendly option to sourcing copper.

Jayashree Mohanty, Puspita Biswal, Subhashree Subhasmita Mishra, and Tamasa Rani Das Mohapatra of the C.V. Raman Global University in Bhubaneswar, Odisha, India, have now demonstrated an approach to extracting copper from printed circuit boards that does not require the PCBs to be dismantled. Their approach, reported in the International Journal of Environmental Engineering, uses pieces of chopped up PCBs as one electrode in an acidic solution, the electrolyte, with the other electrode is a stainless steel plate. By passing an electric current through the electrodes and the solution it is possible to dissolve the copper as positive ions into the solution. The current then drives these ions towards the negative electrode, the steel plate, where they are deposited as metallic copper. This copper plating can be readily removed from the steel electrode.

This simplified electrochemical copper extraction process avoids the usually energy-intensive mechanical shredding or chemical leaching process used in recycling and so uses less energy overall as well as minimizing processing waste and chemical pollutants. It thus has the potential to extract copper from the electrical waste stream much more effectively than was previously possible.

The team add a not-so-secret sauce to their copper extraction recipe, a salt called sodium sulfate. This substance, added to the electrolyte, buffers the solution and at a certain concentration improves the current density and efficiency increasing the amount of copper dissolved from the PCBs and deposited on to the steel cathode. The researchers found that a concentration of 0.03 molar sodium sulfate gave them the highest current efficiency, at 77%, However, the highest copper purity (99%) was obtained at 0.02 molar. There will thus be a compromise in process efficiency and retrieval rates using this additive.

Mohanty, J., Biswal, P., Mishra, S.S. and Mohapatra, T.R.D. (2025) ‘Electrochemical recovery of copper from the waste computer printed circuit board’, Int. J. Environmental Engineering, Vol. 13, No. 1, pp.1–11.

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

The following sample articles from the International Journal of Energy Technology and Policy are now available here for free:
  • Frequency modulation control of electric energy storage system based on abundance index
  • Robust design of damping controller for power system using a combination of snake optimisation algorithm and optimal control theory
  • Evaluation method of enterprise carbon asset value based on analytic hierarchy process and grey correlation method in the context of carbon neutrality
  • Research on carbon emission accounting of SF6 electrical equipment based on improved random forest algorithm
  • Partial discharge detection method for power equipment based on UHF method
  • Load coordination control method of new energy vehicle charging pile based on Markov chain
  • Fuzzy PID-based temperature control method for power transformer coils
  • Low voltage current transformer defect detection method based on Hausdorff distance algorithm under charged state
  • Evaluation method for energy conservation and emission reduction potential of photovoltaic new energy based on entropy weighted matter element
  • Multi-objective capacity optimisation method for renewable energy generation systems based on artificial bee colony algorithm
  • The dynamic impact of regional construction industry economy, energy and carbon emissions based on HMM
  • Method for predicting comprehensive energy demand in industrial parks based on echo state networks

Free sample articles newly available from International Journal of Sustainable Real Estate and Construction Economics

The following sample articles from the International Journal of Sustainable Real Estate and Construction Economics are now available here for free:
  • Implementing building projects: considering construction waste, uncertainties and cost overruns
  • Advanced excel programming of time value of money in the context of real estate financing
  • Appraisal of project financing options by construction small and medium-sized enterprises in the Nigerian built environment
  • Key performance indicators of sustainable housing projects in Lagos State, Nigeria
  • Evaluating causality between petroleum and gas and construction sectors in developing economies

7 February 2025

Free sample articles newly available from International Journal of Vehicle Performance

The following sample articles from the International Journal of Vehicle Performance are now available here for free:
  • Optimisation study of aerodynamic drag based on flow field topology in box-type trucks
  • Investigation of regenerative braking for the electric mining truck based on fuzzy control
  • A new adaptive second-order non-singular terminal sliding mode lateral control combined with neural networks for autonomous vehicle
  • Optimisation of commercial bus body frame based on the improved grey wolf and Monte Carlo simulation algorithm
  • Structural optimisation design of impact resistant composite wheel with compression/injection moulding hybrid structure

Free Open Access article available: "Challenges in designing a human-centred AI system in manufacturing"

The following paper, "Challenges in designing a human-centred AI system in manufacturing" (International Journal of Mechatronics and Manufacturing Systems 17(4) 2024), is freely available for download as an open access article.

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

Research pick: Borrowing time in local government - "Correlation analysis between local government debt and economic growth combined with PSTR model"

Research in the International Journal of Information and Communication Technology has examined the relationship between local government debt and economic growth. Lian Pan of Hunan International Economics University in Hunan, China, used the Panel Smooth Transition Regression (PSTR) model to analyse data in combination with a federated learning data enhancement algorithm. Pan could thus explore how different economic structures influence the effects of borrowing. The findings suggest that while local government debt can support growth, its impact depends on the structure of the local economy. This raises important questions for policymakers.

One of the findings from the research is that industrial composition can shape the outcomes of government borrowing. In areas with well-established industries, debt-financed investment can contribute to economic expansion. However, in less diversified economies, the benefits are less obvious. Indeed, debt may place additional strain on financial resources. The research indicates that simply managing the level of debt is not enough, it is equally as important to define clearly the allocation of borrowed funds.

The findings come at a time when many local governments are facing increasing financial pressures. Economic shifts, rising borrowing costs, and “changing revenue structures” have made fiscal planning even more complex than it was ever before. Some authorities, facing shortfalls, turn to less sustainable sources of revenue, such as land sales or off-budget financing. The study highlights the risks associated with such approaches and stresses the need for greater transparency and more structured debt management practices.

It is worth noting, that the use of federated learning, a machine learning method, has allowed for more precise analysis while maintaining data privacy. By integrating this approach with the PSTR model, Pan’s work has enhanced our ability to assess financial relationships without exposing sensitive information. The method could be further refined through vertical federated learning. This would account for variations in the data distribution across different regions. Addressing these differences could improve the accuracy of economic models and their application to policymaking.

Pan, L. (2024) ‘Correlation analysis between local government debt and economic growth combined with PSTR model’, Int. J. Information and Communication Technology, Vol. 25, No. 9, pp.22–42.

Free sample articles newly available from International Journal of Intelligent Engineering Informatics

The following sample articles from the International Journal of Intelligent Engineering Informatics are now available here for free:
  • Fine-tuned convolutional neural networks for feature extraction and classification of scanned document images using semi-automatic labelling approach
  • New approaches to epileptic seizure prediction based on EEG signals using hybrid CNNs
  • Explainable AI and sand cat optimisation algorithm for water quality classification
  • Dynamic video summarisation using stacked encoder-decoder architecture with residual learning network
  • Generating multiclass COVID-19 CT scan images using multi-convolutional conditional GAN based on deep learning techniques

6 February 2025

Free sample articles newly available from International Journal of Information and Decision Sciences

The following sample articles from the International Journal of Information and Decision Sciences are now available here for free:
  • A GIS-based framework for flood hazard vulnerability evaluation in Thudawa area, Sri Lanka
  • EOQ model for time dependent demand with deterioration, inflation, shortages and trade credits
  • Artificial neural networks in the development of business analytics projects
  • Soft skills fuzzy TOPSIS ranked multi-criteria to select project manager
  • D4SP - decision support system based on the use of the AHP method for science park selection

Research pick: The future emotion detector - "Character emotion recognition algorithm in small sample video based on multimodal feature fusion"

Facial emotion recognition could have broad applications across healthcare, education, marketing, transportation, and entertainment. It might be used to help monitor patients remotely or in over-stretched hospitals or emergency response settings, or patients unable to communicate well for any number of reasons. It could be used to personalize learning, allowing a computerised training system to respond more appropriately to the user. Similarly, such a system could improve customer service and might even be used to create immersive entertainment experiences.

Computer systems that can identify emotions from our facial expressions are in development, but still face man challenges. The earliest systems relied on a single method, such as mapping a person’s face and matching it to a database of annotated expressions. Some approaches based on this simplified method are more accurate than others, but none yet captures all the nuance of human emotion as it is expressed in our faces.

Research in the International Journal of Biometrics introduces a new approach based on machine learning that could address this problem and make an emotion detector viable for a wide range of applications. The biggest issue that is addressed by the new work is that it can extract a complex emotion from real-world situations where environmental factors, incomplete data, or complex emotions might affect the accuracy of the results. However, the new approach brings together facial expression recognition and uses the person’s speech and tone of voice or even what they might be writing to give a more accurate result.

In their experiments, researchers Jian Xie and Dan Chu of Fuyang Normal University in Anhui, China, achieved a recognition accuracy of 98.6% with their approach. The system was particularly adept at identifying happiness or a neutral emotional state when compared with earlier systems. The system could not cope quite as well with the identification of disgust and surprise, however.

Xie, J. and Chu, D. (2025) ‘Character emotion recognition algorithm in small sample video based on multimodal feature fusion’, Int. J. Biometrics, Vol. 17, Nos. 1/2, pp.1–14.

Free Open Access article available: "A model of disciplinarity: literature conceptual differences"

The following paper, "A model of disciplinarity: literature conceptual differences" (International Journal of Agile Systems and Management 18(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 Autonomous and Adaptive Communications Systems

The following sample articles from the International Journal of Autonomous and Adaptive Communications Systems are now available here for free:
  • Energy harvesting based performance analysis in Nakagami-m fading channels
  • Applications, merits and demerits of WSN with IoT: a detailed review
  • A multi-level autopoietic system to develop an artificial embryogenesis process
  • Exposing deepfakes in online communication: detection based on ensemble strategy
  • IoT-based vehicular accident detection using a deep learning model

Free Open Access article available: "Employee empowerment and job satisfaction in the evolving digital banking workplace"

The following paper, "Employee empowerment and job satisfaction in the evolving digital banking workplace" (International Journal of Economics and Business Research 29(8) 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 Corporate Governance

The following sample articles from the International Journal of Corporate Governance are now available here for free:
  • Income smoothing behaviour and investment efficiency: evidence from an emerging market
  • Impact of family board members and CEO's business education on the investment in information technology
  • Ownership concentration and corporate social performance - moderation impact of corporate governance in Indian firms
  • Examining the effect of female directors on US firm ESG performance

5 February 2025

Free Open Access article available: "Factors influencing customer loyalty via purchase intention toward manufacturing firms in Vietnam"

 The following paper, "Factors influencing customer loyalty via purchase intention toward manufacturing firms in Vietnam" (International Journal of Economics and Business Research 29(8) 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 Services and Operations Management

The following sample articles from the International Journal of Services and Operations Management are now available here for free:
  • Eliminating end-of-line rejections - a quality filter mapping approach
  • New approach of lean management concept: procedure and practical case in the automotive sector
  • Supply chain risk identification and assessment by probability and impact matrix
  • Assessing the effect of marketing mix on tourists' satisfaction: insights from Bangladesh
  • How organisation deviance affects employees' perception: a quantitative analysis on managing workplace emotions
  • The moderating impact of work cooperation within the ministry of social affairs and labour in Kuwait: an approach based on TAM and D&M models

Free Open Access article available: "Are abnormal accruals values relevant? Evidence from Sub-Saharan Africa"

The following paper, "Are abnormal accruals values relevant? Evidence from Sub-Saharan Africa" (International Journal of Economics and Business Research 29(8) 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 Internet Marketing and Advertising

The following sample articles from the International Journal of Internet Marketing and Advertising are now available here for free:
  • CSR ad impact on purchase intention
  • Role of parasocial interaction and planned behaviour theory in consumption restriction intentions
  • Who are the right customers for mobile and paper coupons?
  • Effectiveness of social media influencers and their impact on customers' attitudes and buying intention
  • What drives Generation Z to advocate for a brand online?

4 February 2025

Free sample articles newly available from International Journal of Tourism Policy

The following sample articles from the International Journal of Tourism Policy are now available here for free:
  • Seeking serenity, adventure, and cultural connections: unveiling motives for second home tourism in northern Jordan
  • An exploratory study with western female tourists about perceived drivers and challenges towards environmental stewardship in a nature-based destination
  • Exploring motivational factors for enrolling in hospitality programs: insights from India
  • The challenge of formulating tourism policy in small island developing states (SIDS): evidence from Seychelles
  • Identifying tourism cluster characteristics on the central Namibian coast: policy implications
  • Crisis planning among tour operators: an evaluation of small, medium-sized and large enterprises

Research pick: AI allowance for jobseekers - "Prediction of talent demand and job matching based on knowledge graph and attention mechanisms"

In an evolving job market shaped by technological disruption and changing industry demands, there is a pressing demands to ensure that higher education aligns with workforce needs. Research in the International Journal of Information and Communication Technology introduces a predictive model designed to address this issue. It offers an adaptable approach to talent demand forecasting and job matching. By integrating artificial intelligence (AI) with structured data analysis, the work of Xiaoli Mei of Jiangxi University of Technology in Jiangxi, China, offers an approach that could help educators, employers, and policymakers respond to labour market trends.

Mei’s work builds a knowledge graph, a structured representation of information, to organize and integrate vast amounts of data from online recruitment platforms. The new approach uses graph neural networks to spot relationships between various factors in the job market. This should improve understanding of the relationships between job requirements, candidate qualifications, and industry trends. This new model can process complex employment patterns with greater precision than earlier manual methods. Those earlier methods were limited to relying on rigid keyword-based systems that might overlook the broader context of job descriptions and skill requirements.

The new model is armed with high fault tolerance, which means it is effective even when dealing with incomplete or inconsistent data. This will be invaluable in real-world applications, where missing or ambiguous information is common. By maintaining strong performance despite data gaps, the system offers a more reliable tool for workforce planning, recruitment, and career guidance.

Ultimately, the research could help close the gap between higher education supply and employment demand. There is thus the potential to train undergraduates, particularly on more vocational courses, who might then be better prepared for industry roles. Policymakers will benefit from the research, as it will allow them to spot emerging skill demands and workforce trends, governments might then develop targeted labour market policies to address shortages in specific sectors. Additionally, jobseekers themselves might gain from more intelligent job recommendations, which will hopefully lead to better employment outcomes and reduced mismatches between their qualifications and the available jobs.

Mei, X. (2024) ‘Prediction of talent demand and job matching based on knowledge graph and attention mechanisms’, Int. J. Information and Communication Technology, Vol. 25, No. 9, pp.76–87.

Free Open Access article available: "Industry 4.0 and lean augmentation? Digital transformation in the German and Japanese automotive industry"

The following paper, "Industry 4.0 and lean augmentation? Digital transformation in the German and Japanese automotive industry" (International Journal of Automotive Technology and Management 24(6) 2024), 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 Heavy Vehicle Systems

The following sample articles from the International Journal of Heavy Vehicle Systems are now available here for free:
  • Bus transport system quality benchmarking and optimisation using FAHP & GP technique
  • A FOPID based decentralised control system for vibration control of railway vehicle using hybrid optimisation
  • Experiment and optimisation analysis of whole-body vibration among tractor drivers: a comprehensive study
  • A review on estimation of vehicle tyre-road friction
  • Influence on polygon effect with characteristic parameters of guide arc branch of the crawler robot
  • Transfer path analysis of a railway vehicle based on global transfer direct transfer

3 February 2025

Free Open Access article available: "Banking development contributes to economic growth and inflation control in Vietnam"

The following paper, "Banking development contributes to economic growth and inflation control in Vietnam" (International Journal of Economics and Business Research 29(7) 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 boost for business - "The impact of digital marketing on the business performance of firms In Laos"

A study in the International Journal of Business Performance Management has looked closely at how digital marketing strategies have influenced business performance in Laos, especially among small and medium-sized enterprises (SMEs). The research focuses on tools such as online advertising, social media marketing, content marketing, and mobile marketing.

Viengsavang Thipphavong and Xayphone Kongmanila of the National University of Laos in Vientiane, Laos, used a structural equation model (Smart PLS4) to analyse their data and found that online advertising has a clear impact on both financial and operational performance. Social media marketing, on the other hand, had an broader influence as it positively affects financial performance, operational efficiency, and a company’s IT capabilities.

The study showed that content marketing was linked primarily to improvements in the companies’ IT infrastructure, while mobile marketing, while beneficial to operational and IT performance, did not directly impact financial outcomes. This has implications for smaller companies that might do better to not invest too heavily in the kind of digital tools that will not help them generate greater profits.

The researchers suggest that businesses in Laos, SMEs in particular, should focus on using online advertising and digital marketing tools to improve their financial and operational performance. They add that government might play a role too by improving digital infrastructure, supporting online marketing education, and encouraging the growth of e-commerce. Such steps would, the team suggests, create a more favourable environment for businesses to adopt digital marketing strategies and enhance their overall performance.

As digital tools become more accessible, companies in emerging markets such as Laos are increasingly able to reach wider audiences and streamline operations without incurring significant marketing costs. For Laos, where internet penetration and digital adoption are yet to mature, this presents a clear opportunity. As more people access the mobile internet, businesses have the potential to expand their customer base and improve operational efficiency with relatively modest investment.

Thipphavong, V. and Kongmanila, X. (2025) ‘The impact of digital marketing on the business performance of firms In Laos’, Int. J. Business Performance Management, Vol. 26, No. 7, pp.1–22.

Free sample articles newly available from International Journal of Innovation in Education

The following sample articles from the International Journal of Innovation in Education are now available here for free:
  • An empirical investigation of the effectiveness of online entrepreneurship education among university students in Egypt
  • Using data mining techniques to predict university student's ability to graduate on schedule
  • Assessment analysis: methods and implementation options for multiple-choice exams
  • Challenges in managing postgraduate distance education in a Sub-Saharan African higher education institution

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

The following sample articles from the International Journal of Manufacturing Technology and Management are now available here for free:
  • Dexterity control of multi-arm sorting robot based on machine learning
  • An image detail enhancement of smart product UI interface based on stationary wavelet transform
  • An optimisation control method of manufacturing whole process based on real-time information drive
  • An intelligent buffer capacity allocation method for flexible production lines based on conjugate Bayes estimation
  • The dynamic multi project human resource allocation method of manufacturing industry based on multidimensional model
  • Path coordination scheduling method of handling robot considering three-dimensional cargo space of intelligent warehouse
  • Path planning method of industrial intelligent welding robot based on cuckoo search algorithm

European Journal of International Management announces 2024 Best Paper and Best Reviewer Awards

The European Journal of International Management's Editor in Chief and Outreach Editor, Associate Prof. Nicole Franziska Richter and Dr. Sven Horak, are pleased to announce the following 2024 Best Paper Awards:
The Editors congratulate the authors on their significant contributions to research in the field of international management.

The Editors are also pleased to announce the following winners of the Best Reviewer Awards, and thank them for their continued efforts:
  • Sang-Joon Kim, Ewha Womans University, Seoul
  • Ilaria Galavotti, Università Cattolica del Sacro Cuore, Piacenza
  • Sabrina Goestl, Western University, Canada
  • Dirk Morschett, University of Fribourg, Switzerland
  • Ursula F. Ott, Nottingham Trent University, UK
  • Thomas Rockstuhl, Nanyang Technological University, Singapore
  • Stefan Schmid, ESCP Europe Business School, Germany