17 April 2024

Charging up a review of lithium-ion batteries

A comprehensive review of lithium-ion batteries in electric vehicles and energy-storage systems offers a valuable resource for researchers in this area, according to the authors writing in the International Journal of Vehicle Information and Communication Systems.

Electric vehicles (EVs) are an important part of sustainable personal transport as we try to move from a world drive on fossil fuels to one powered by solar, wind, and other renewables. Lithium-ion batteries continue to play a vital role in the ongoing success of EVs, and will do so until an even better alternative storage technology is developed.

Mandar Maruti Bidwe and Swanand Gajanan Kulkarni of the SKN Sinhgad College of Engineering in Korti, Pandharpur, Maharashtra, India, conducted a detailed review of the research literature covering the period 2010 to 2022. They hope that their work will shine headlights on the lithium-ion battery roadmap and help researchers navigate the terrain towards future sustainable of electric transportation and energy storage.

The team’s review looked at various aspects of lithium-ion battery technology and shows that it is important to understanding the diverse materials used in different types of battery and the impact these material choices have on performance, lifetime, and sustainability. The team explains that materials such as lithium cobalt oxide offer high energy density but are hindered by limited availability and lower thermal stability. By contrast, materials such as lithium iron phosphate are much safer and longer-lasting, but do not necessarily have the energy density some applications demand.

There is an ongoing need to model the behaviour of different types of battery in order to develop technology that optimises battery performance and management systems without too much compromise in terms of sustainability and resource safety and ethics. The review points to various papers that have focused on such models and assesses which might be used to best effect by researchers. This is critical given that challenges exist, not least in terms of the recycling and sustainability. The team points to several research gaps in these areas that could help focus efforts.

Research into lithium-ion batteries is multidisciplinary and given its central role in the electrification of transport it will be a focus for several years yet. This review offers waymarkers on the roadmap for research and development.

Bidwe, M.M. and Kulkarni, S.G. (2024) ‘Lithium-ion battery: a review’, Int. J. Vehicle Information and Communication Systems, Vol. 9, No. 2, pp.135–163.

Free sample articles newly available from International Journal of Powertrains

The following sample articles from the International Journal of Powertrains are now available here for free:
  • Energy consumption analysis of extended-range electric vehicles with different driving cycle and different modes
  • Design and implementation of novel variants of multi-level inverters for traction and heavy vehicle applications
  • Deep-Q-network-based energy management of multi-resources in limited power micro-grid
  • Transmission energy consumption analysis using ridge regression in wireless sensor nodes
  • Performance analysis of precise energy consumption algorithm for smart home using hybrid renewable energy

16 April 2024

Research pick: Clocking the influencer effect on TikTok - "Enhance the effectiveness of affiliate marketing on Tiktok for young people"

TikTok is a social media platform known for its short-form videos. Content creators, who have built a significant following on the site, often work with corporate brands to promote products to their audience, often through affiliate marketing. This involves a so-called influencer sharing products in their videos with affiliate links and then earning a commission from the company for purchases made through those links. It might be said that success lies in creating authentic content that attracts users and takes advantage of the current trends. However, for an influencer to be successful, they need to be transparent about their affiliate relationships in order to build and maintain the trust of their audience.

Writing in the International Journal of Technology Marketing, Minh T.H. Le of the College of Business at the University of Economics in Ho Chi Minh City (UEH), Vietnam, discusses how the effectiveness of affiliate marketing might be improved by users hoping to influence young people. Le’s study was based on a standardized questionnaire distributed across internet platforms. The results were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Her research identified some of the factors affecting consumer trust and buying decisions, including the opinions of other followers.

She found that the perceived expertise of content creators and feedback from their followers is important to consumer trust. Le explains that a marketing campaign can pivot on this point. However, the entertainment value of an influencer video, is perhaps the most important factor leading to better user engagement and whether that user buys the products touted by the influencers they follow.

The detailed findings discussed in IJTMKT offer practical guidance for marketers and businesses who are attempting to make the most of digital marketing. The advice suggests that companies need to understand how Key Opinion Leaders, Key Opinion Consumers, and influencers operate and the effect they have on everyday users. Given that TikTok appeals to a wide audience seeking amusement as well as product recommendations, it is worth exploring in detail its potential as a marketing channel.

Le, M.T.H. (2024) ‘Enhance the effectiveness of affiliate marketing on Tiktok for young people’, Int. J. Technology Marketing, Vol. 18, No. 2, pp.162–184.

Special issue published: "Synthesis and Characterisation of Nanomaterials: Latest Advances and Prospects Part 2"

International Journal of Microstructure and Materials Properties 17(2/3) 2024

  • Life prediction of vehicle carbon fibre ceramic brake pads based on wavelet packet energy entropy
  • Thermal runaway detection method of SiO2 aerogel battery pack based on mixed Gaussian hidden Markov model
  • Analysis of stress corrosion behaviour of TC4 titanium alloy in simulated seawater environment
  • Surface wear detection of automotive cermet composite brake pads based on machine vision
  • Analysis of the influence of XYPEX admixture on the frost resistance of nanometer CaCO3 concrete
  • Experimental study on the effect of composite nano-SiO2 on the durability of concrete
  • Strength prediction method of nano ceramic composites based on nonlinear regression analysis
  • Analysis of pressure damage characteristics of carbon fibre recycled concrete based on acoustic emission technology
  • Experimental study on the microstructure of nano TiO2 concrete under carbonisation freeze-thaw conditions
  • Study on the dynamic fracture toughness of laminated fine ceramic composites based on fatigue damage accumulation theory
  • Fabrication of aluminium metal matrix composites with Al 6063 reinforced with Al2O3 by two step stir casting method for investigation of mechanical properties
  • Study on durability analysis method of concrete mixed with nanometre calcium carbonate in acid environment
  • The effect of nano-SiO2 strengthening the performance of recycled concrete under ion erosion environment

15 April 2024

Research pick: Deep learning in the digital library - "Development of a unified digital library system: integration of image processing, big data, and deep learning"

The digital library is a searchable store of text, audio and visual materials, and more. However, as the amount of data that must be stored and made searchable increases, efficient management and retrieval can be a major headache for the digital library. Research in the International Journal of Information and Communication Technology could lead to a new solution to the problem by integrating image processing, big data analytics, and deep learning techniques.

Xiaoyan Wang and Meimei Jia of Nanyang Normal University, Nanyang, Henan, China, like others, recognise the complexities of enhanced multimedia search and retrieval and have turned to the modern tool of deep learning to help. The team has developed a cross-media semantic search framework. This finds and uses the correlations between different types of media to assist in search and retrieval. Their deep learning algorithm can analyse and organize multimedia resources to improve search accuracy and system performance. Indeed, the use of this cross-modal correlation analysis and hierarchical knowledge inference in refining search results gave the team an almost 12 percent boost in search performance when compared with conventional approaches.

The approach will be useful for generic digital libraries and could be extended to personal devices such as smartphones, enabling greater access to useful information silos for the lay public. In more specialist applications, the same approach might be used in medical and scientific information systems. This could allow complex medical imagery, such as MRI scans and diagnostic test data and chemical databases, to be more readily searchable. In enterprise knowledge management systems, with such a system, companies could better handle their ever-accumulating data and information. Moreover, in any field where vast amounts of multimedia data accumulate every day and need efficient search and retrieval methods to make the most of the information they hold, an improved system will benefit users.

Wang, X. and Jia, M. (2024) ‘Development of a unified digital library system: integration of image processing, big data, and deep learning’, Int. J. Information and Communication Technology, Vol. 24, No. 3, pp.378–391.

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:
  • Design-proposal of a conceptual model of intellectual property management and technology transfer in the context of higher education in Latin America
  • Behaviour of financial consumers in banking market: a central and eastern European perspective regarding gender gap
  • A study of macroeconomic effects on the growth of BRICS: a systematic review
  • The effect of accounting conservatism on the cost of equity capital: evidence from Indonesia
  • Integrated perspective of corporate social responsibility on ASEAN Capital Market Forum members corporate governance code
  • Economic uncertainty and working capital management: evidence from Turkey

12 April 2024

Free open access article available: "Development of a unified digital library system: integration of image processing, big data, and deep learning"

The following paper, "Development of a unified digital library system: integration of image processing, big data, and deep learning" (International Journal of Information and Communication Technology 24(3) 2024), is freely available for download as an open access article.

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

Research pick: The CALL of the word - "Research on scoring mechanism of spoken English self-study system taking into account artificial intelligence technology and speech knowledge recognition algorithm"

Technology is changing all areas of education not least language learning. Research in the International Journal of Information and Communication Technology has looked at the potential of Computer-assisted Language Learning (CALL).

Learning a new language has usually relied on the traditional classroom setting and a native speaker of the language to teach students the vocabulary and grammar. However, there have for many years language learning systems that use voice recordings and books. In recent years, these systems have migrated to smartphones. The number of learners answering the CALL has risen because of the accessibility and convenience. Such systems now use artificial intelligence and algorithmic processing to help learners get to grips with their language second, or third, or more, language of choice. Indeed, the new tools offer an immersive and interactive language-learning experience.

Ning Li of the Public Teaching Department at Henan Vocational College of Tuina in Luoyang, Henan, China, explains that one aspect of language learning by app is the potential of the software to provide learners with an assessment of their progress and oral proficiency. If the system can analyse the words spoken by the learner in their non-native tongue, then they can be guided to the next level in their education appropriately or given advice on checking and rechecking their understanding and ability.

CALL systems can offer tailored teaching and thus have the potential to address individual learning needs, accelerating language acquisition for those learners who can cope and slowing the teaching process for those who need more time. Of course, variability in accent and dialect represent a challenge for the assessment algorithms and new innovations and refinements are still needed to make CALL as effective as traditional teaching and learning methods.

CALL could open up linguistic opportunities far and wide. With improvements in AI such systems will be able to assess learners before they are released into the wilds of international conversation.

Li, N. (2024) ‘Research on scoring mechanism of spoken English self-study system taking into account artificial intelligence technology and speech knowledge recognition algorithm’, Int. J. Information and Communication Technology, Vol. 24, No. 3, pp.350–365.

Free open access article available: "Quality optimised design of English multimedia courseware combined with 4C comprehensive design model"

The following paper, "Quality optimised design of English multimedia courseware combined with 4C comprehensive design model" (International Journal of Information and Communication Technology 24(3) 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: "Research on scoring mechanism of spoken English self-study system taking into account artificial intelligence technology and speech knowledge recognition algorithm"

The following paper, "Research on scoring mechanism of spoken English self-study system taking into account artificial intelligence technology and speech knowledge recognition algorithm" (International Journal of Information and Communication Technology 24(3) 2024), is freely available for download as an open access article.

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

11 April 2024

Research pick: Cutting content in a crisis - "Supporting digital key workers: addressing the challenges faced by content moderators during and after the COVID-19 pandemic"

The responsibility for maintaining online safety relies on content moderators particularly in times of crisis. However, not all platforms even have moderation systems in place and so disinformation, misinformation, propaganda, and fake news often circulate freely. The time of the COVID-19 pandemic was a case in point, but the propagation of fake news occurs during times of political change and in the wake of other kinds of crises and socioeconomic upheaval. However, there is much content online that is illegal rather than simply being fake and that must be removed summarily.

Some social media platforms and websites do have individuals and even teams who are tasked with checking user-generated content to ensure it does not contravene the law. Elena Martellozzo, Paula Bradbury, Ruth Spence, and Jeffrey DeMarco of Middlesex University, London, UK, and Paul Bleakley of the University of New Haven, West Haven, USA, point out that during and after the COVID-19 pandemic there was a surge in the volume of illegal content. They report details of their findings and the implications in the International Journal of Technology, Policy and Management.

The researchers have looked at the experience of content moderators during this period and their findings offer new insights into how this important online role can affect the moderators’ mental well-being. Indeed, the upward trend in illegal material being shared online, exacerbated by lockdown measures during the pandemic, put the content moderators under immense pressure. There was a heightened risk of personal burnout, mental health problems, and even trauma when it came to particular kinds of illegal content that required moderation. The new findings suggest that there is an urgent need to improve the working conditions and personnel backup for such moderators.

Lessons drawn from the pandemic era should provide service providers and their staff, including their content moderators, useful guidance for the improvement of working conditions. Employers must prioritize mental health support, fair compensation, and comprehensive training, the research suggests. This is especially important given the role played by content moderators in helping to remove illegal content from the internet.

The researchers add that clear communication, professional development opportunities, and tailored support mechanisms, particularly for those working remotely or in a hybrid work environment, are important considerations for employers and service providers.

Martellozzo, E., Bleakley, P., Bradbury, P., Spence, R. and DeMarco, J. (2024) ‘Supporting digital key workers: addressing the challenges faced by content moderators during and after the COVID-19 pandemic’, Int. J. Technology, Policy and Management, Vol. 24, No. 2, pp.212–228.

Special issue published: "Health Economics and Econometrics"

International Journal of Computational Economics and Econometric 2024 Vol.14 No.2

  • Procuring medical devices: evidence from Italian public tenders
  • Technical efficiency in Irish public hospitals: a multi-output distance function SFA approach
  • The role of home healthcare in reducing hospital readmissions and costs in patients with acute myocardial infarction
  • Is the European refugee crisis a potential threat to public health? Evidence from Italy
  • Might low-protein diet for chronic kidney disease patients be successful? A case study with the application of a random effects ordered probit model
  • Financial problems and self-reported health status: an analysis for selected European countries

Free open access article available: "Critical success factors of strategic alliance in the shipping industry"

The following paper, "Critical success factors of strategic alliance in the shipping industry" (International Journal of Shipping and Transport Logistics 18(2) 2024), is freely available for download as an open access article.

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

10 April 2024

Special issue published: "Interdisciplinary Applications and Technologies of Computer Vision"

International Journal of Computational Intelligence Studies 12(3/4) 2023

  • Performance prediction analysis of college aerobics course based on back propagation neural network
  • Research on the optimal charging method of parallel power batteries for smart electric vehicles
  • Research on spiking neural network in art visual image classification
  • Application of binocular image reconstruction method in the construction of 3D model of wooden arch corridor bridge structure
  • New media interaction in art design based on deep learning binocular stereo vision
  • Research on intelligent access control technology of face recognition model based on parameter sharing and dense connection
  • Nonlinear modelling and analysis of stable behaviour of robot gait control system based on image processing technology

Research pick: Crowdfunding success - "Does first impression count? A look at Indiegogo campaigns on the ‘Explore All Projects’ page"

The advent of crowdfunding, whereby innovative ideas find financial backing from the collective support of online communities, such as Indiegogo and Kickstarter, has allowed countless projects to become viable in recent years. Many of those projects, while attractive and ultimately successful, may never have garnered support from conventional investors and backers. Of course, not all crowdfunding enterprises are successful, and a study in the International Journal of Electronic Business has looked at how much effect first impressions has on what a campaign might ultimately achieve.

Mathupayas Thongmak of the Thammasat Business School at Thammasat University in Bangkok, Thailand, has focused on Indiegogo as a well-known crowdfunding platform. She points out that to date, the rate of success among crowdfunding campaigns remains relatively low. The present study offers insights that might help putative campaigners develop a more effective strategy for success.

Presentation is almost all when it comes to a successful campaign. Potential backers wading through many project options commonly rely on first impressions to decide whether to investigate a given campaign further. In other words, an attractive thumbnail image, text introduction, and category choice, are vital. Without them, most backers scanning for opportunities will simply swipe left, to use the parlance of dating apps, where such a swipe amounts to a rejection.

Earlier work has looked at the factors that coincide with a successful crowdfunding campaign, but Thongmak has used descriptive statistics, word clouds, tree maps, and hierarchical regression analysis to analyse data from more than 300 campaigns to look at what characterises successful outcomes. It seems that timing is almost everything, but appropriate category choice can affect success rate for campaigners significantly. Moreover, the most likely to succeed are campaigns in the technology and innovation sectors, with health and fitness products featuring prominently, followed by home, travel, and outdoor equipment. It is worth noting that text on a thumbnail image did not affect success rate. As such, Thongmak suggests that campaigners should use their thumbnail image to make their project stand out more from the other images through the choice of a more creative design and colour scheme.

Thongmak, M. (2024) ‘Does first impression count? A look at Indiegogo campaigns on the ‘Explore All Projects’ page’, Int. J. Electronic Business, Vol. 19, No. 2, pp.181–208.

Free open access article available: "Impact of surface choking on gas-lift stability and flow behaviour in oil producing wells"

 The following paper, "Impact of surface choking on gas-lift stability and flow behaviour in oil producing wells" (International Journal of Oil, Gas and Coal Technology 35(3) 2024), is freely available for download as an open access article.

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

Special issue published: "AI/Machine Learning Techniques as a Tool for Process Modelling and Product Design"

International Journal of Product Development 28(1/2) 2024

  • Colour offset compensation method of product packaging image based on colour difference interpolation
  • The deep mining of consumer behaviour data on product network marketing platform
  • Study on evaluation method of human-computer interface quality of intelligent products based on Bayesian classification
  • Colour matching method of product interactive interface based on user experience
  • Fuzzy edge detection method of product packaging image based on Kalman filter
  • Prediction method of product market demand based on Prophet random forest
Additional papers
  • Review of models and frameworks for set-based design
  • A formal consideration of user tactics during product evaluation in early-stage product development

9 April 2024

Special issue published: "The Development of Vehicle Design: Safety and Assessment"

International Journal of Vehicle Design 95(1/2) 2024

  • Vehicle rear end collision warning method based on MeanShift and Kalman filter tracking
  • Remote intelligent monitoring method of automobile driving safety based on Internet of Things technology
  • Automatic recognition of vehicle differentiated driving behaviour in automatic driving scenarios
  • Power smooth control of automobile drive motor based on torque prediction
  • A comparative study of redundant and non-redundant flight control system architectures for unmanned aircraft: key limitations and recommendations
  • Side sled test systems: a review
  • Low carbon design of automobile front-end structure based on Pareto mining
Additional paper
  • Mortise-tenon structural design for improving initial permanent magnetic guideway irregularity in the maglev vehicle system

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:
  • Visual programming and computational thinking environments for K-9 education: a systematic literature review
  • Audio-visual resources and learning improvement: an experimental analysis
  • Extending the technology acceptance model to understand the use of e-learning during COVID-19 pandemic for enhancing learning process: Iraqi universities' students
  • Implications of student satisfaction with flipped classroom design in a Taiwan university
  • Factors influencing online learning on social media

Research pick: Navigating shipping alliances - "Critical success factors of strategic alliance in the shipping industry"

Research in the International Journal of Shipping and Transport Logistics has looked at the various factors that affect the overall effectiveness of shipping alliances in the container shipping industry. These alliances, formed as cooperative agreements between container carriers, have become an important part of the industry, providing benefits such as expanded market access, operational efficiency, and keeping companies afloat in turbulent times.

Hui Ting Lu, Kum Fai Yuen, and Kim Hock Tan of Nanyang Technological University in Singapore and Guanqiu Qi of Chung-Ang University in South Korea surveyed 180 executives from major shipping lines involved in prominent alliances. They used the survey results to identify 20 factors associated with successful alliances. They then measured the impact of these factors, such as opportunistic behaviour and constructive coordination, on outcomes for the companies involved in the alliances.

In order to formalise their results, the team categorized the critical success factors as: alliance rationale and conditions, partner search and selection, partnership design, partnership implementation, and partnership outcome evaluation. Within these different phases, the team found that alliance rationale and conditions in particular influenced constructive coordination among partners.

The team also used various theoretical frameworks, such as transaction cost theory, resource-based view, knowledge-based theory, sociological approaches, and general management and leadership theory to provide a comprehensive understanding of critical success factors and how they relate to those different phases and the outcomes among shipping alliances.

The team found that the initial phases of alliance building depended on strong foundations built through careful partner selection and the ongoing strength of the alliance needed a good working relationship for its implementation but also continuous evaluation of the pros and cons. The researchers also found that success depended on the ability for partners to adapt to external factors such as regulatory changes and cybersecurity threats to maintain coordination and achieve their goals.

The container shipping industry must ride the waves of changing markets. The research highlights a continued need for improved understanding of how alliances between different companies can work and to allow them to navigate safely through smooth seas and dire straits.

Lu, H.T., Yuen, K.F., Tan, K.H. and Qi, G. (2024) ‘Critical success factors of strategic alliance in the shipping industry’, Int. J. Shipping and Transport Logistics, Vol. 18, No. 2, pp.111–137.

Special issue published: "Applications of Renewable Energy and Sustainability"

International Journal of Environment and Sustainable Development 23(2/3) 2024

  • Integrating fuzzy multi-criteria analysis for sustainable configuration of an on-grid hybrid renewable energy system: case study of Tunisia
  • Data mining-based ecotourism visitor evaluation management model in the context of sustainable development
  • Ecological assessment of low carbon design of garden based on optimal BP neural network
  • A study on the technology of reviewing smart campus construction under energy consumption limit constraints
  • Effects of different aquatic plant configuration patterns on water quality
  • A GIS-based green infrastructure planning framework for water sensitive spatial planning
  • A two-stage optimal scheduling strategy of hybrid energy system integrated day-ahead electricity market
  • Research on energy-saving construction technology of campus building exterior wall under the restriction of energy consumption quota
  • Examination of green technology implementations impacts on the employee income, investment and manufacturing productivity: an empirical assessment
Additional papers
  • Analysing the constraints of circular economy models and policy challenges in waste management
  • Thermal comfort investigation and management of public spaces of Clement Town, Dehradun, India

8 April 2024

Free open access article available: "Supporting digital key workers: addressing the challenges faced by content moderators during and after the COVID-19 pandemic"

The following paper, "Supporting digital key workers: addressing the challenges faced by content moderators during and after the COVID-19 pandemic" (International Journal of Technology, Policy and Management  24(2) 2024), is freely available for download as an open access article.

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

Research pick: Glacial retreat and water worries - "Inventory and status of glaciers in the Pir Panjal Range Kashmir basin between 1980 and 2020"

An analysis of glacial data spanning four decades has provided valuable insights into the changes taking place in the glaciers of the Pir Panjal range within the Kashmir basin in India. The research, published in the International Journal of Hydrology Science and Technology, analysed data for the period 1980 to 2020. It reveals significant losses in glacial mass and points out just how important this could be for the people and ecosystems that rely on the melt waters from these glaciers. It also highlights the flood risks associated with sudden catastrophic changes in the glaciers as they melt.

Mohmad Ashraf Ganaie and Syed Kaiser Bukhari of the National Institute of Technology Srinagar, Jammu and Kashmir, India, identified 122 glaciers that by 2020 had decreased notably in size since 1980. For example, a glacial region of almost 26 kilometres in 1980 had shrunk to just under 16 square kilometres by 2020. One particular glacial watershed, Vishaw, which encompasses 55 glaciers, had lost more than 6 square kilometres.

Topography plays an important role in how rapidly glaciers have receded during this period of time. The smaller glaciers, those less than or equal to 0.5 square kilometre, were found to be receded faster than the bigger glaciers. Moreover, south-facing glaciers and those at lower elevations demonstrated too were receding more rapidly, the team found. The different rates of glacial loss suggest that there are many complex factors at play.

The Himalayan glaciers are a vital source of water for those in their shadow. They play a major role in sustaining river flow and supporting human activities such as agriculture and hydroelectric power generation, as well maintaining the natural, local ecosystems, wildlife, and habitats. The impact of glacial loss will be gradual, but with accelerating loss due to climate change there is the risk of melted glacial lakes suddenly release huge volumes of water downstream, which could devastate human settlements and the ecosystems in its path.

Historically, there have been limited numbers of remote sensors and monitoring of the glaciers in this region. There is now a pressing need to understand the changes taking place and the effect these changes will have on water resource management, flood risk, and the local environment.

Ganaie, M.A. and Bukhari, S.K. (2024) ‘Inventory and status of glaciers in the Pir Panjal Range Kashmir basin between 1980 and 2020’, Int. J. Hydrology Science and Technology, Vol. 17, No. 3, pp.319–347.

Free sample articles newly available from International Journal of Product Development

The following sample articles from the International Journal of Product Development are now available here for free:
  • Virtual display of intelligent human-computer interaction products based on attention matrix
  • An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm
  • Research on layout optimisation of human-computer interaction interface of electronic music products based on ERP technology
  • Design of human-computer interaction display terminal system for intelligent home products based on colour vision analysis
  • Design of virtual reality cycling intelligent interaction system based on VR technology
  • User experience evaluation method of sports product based on genetic algorithm
  • Human gesture interaction recognition algorithm based on augmented reality in smart wristband equipment
  • Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm
  • Gesture recognition method for wearable sports devices based on sparse representation
  • Visual perception-based human-computer interaction information classification method for intelligent products
  • Gesture interactive recognition method of moving equipment based on virtual reality technology
  • A method for layout planning of product web UI visual interface based on clone selection algorithm

Free open access article available: "Regulating digital currencies in the Emirate of Dubai: a comparative legislative review"

The following paper, "Regulating digital currencies in the Emirate of Dubai: a comparative legislative review" (International Journal of Public Law and Policy 10(2) 2024), is freely available for download as an open access article.

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

5 April 2024

Special issue published: "Big Data Mining Applications for Enterprise Operations and Management"

International Journal of Data Mining and Bioinformatics 28(2) 2024

  • Consumer purchasing intention and marketing data mining model in the digital economy
  • Cross-border e-commerce logistics distribution optimisation based on IoT artificial intelligence algorithm
  • An enterprise operation management method based on mobile edge computing and data mining
  • Development strategy of online English teaching based on attention mechanism and recurrent neural network recommendation method
  • Design of a financial reporting management generation system based on Bi-LSTM model and MultiWord-Embedding method
  • Rural e-commerce data analysis based on data mining and its enlightenment to rural digital economy management
  • Design of performance assessment and management model for regional technological innovation under the background of machine learning

Research pick: Challenging the gig economy - "Disengaged: the problem of employee engagement in gig workers"

Employee engagement among independent gig workers is an important issue facing organisations working with remote teams and individuals. A study in the International Journal of Management Concepts and Philosophy which looked at the connections between gig workers and their client teams, suggests there is a need to improve engagement to improve working conditions, well-being, and mental health for remote workers.

The gig economy is a labour market where individuals work on short-term contracts or as long-term freelancers. Freelancers have been a part of the economy for many years, but in the digital era, applications and platforms have opened up many jobs that were previously restricted to the conventional workplace. Gig workers enjoy flexibility but also face challenges like job security and benefits.

Rebecca Wason of Algoma University in Sault Ste. Marie, Ontario, Canada, has used a structured questionnaire based on William Kahn’s three facets of employee engagement – meaningfulness, safety, and availability – and found significant differences in gig worker engagement levels. It seems that gig workers commonly feel satisfied with their work, but often feel isolated from their peers and management.

The research found that many respondents felt a lack of clarity from their managers regarding the significance and purpose of their work was a major problem. In addition, Wason found that some respondents felt that they had insufficient guidance on organisational culture and norms. This, the work suggests, leads to difficulty in integrating within client teams as well as a problem with forming social bonds. This leads to feelings of exclusion and detachment.

Effective communication, clear task assignment, and supportive organisational structures are all important in improving gig worker engagement. Addressing such issues could improve the working lives of gig workers, as well the outcomes for the organisations for which they work.

Wason, R. (2024) ‘Disengaged: the problem of employee engagement in gig workers’, Int. J. Management Concepts and Philosophy, Vol. 17, No. 2, pp.149–160.

Free sample articles newly available from International Journal of Vehicle Safety

The following sample articles from the International Journal of Vehicle Safety are now available here for free:
  • Relationship between mobile phone addiction and driving accidents in two groups of drivers with and without accidents
  • Research on test scenarios of AEB pedestrian system based on knowledge and accident data
  • Driving safety of articulated vehicle on a typical interchange
  • Multi-objective optimisation design and fuzzy PID control for racing car variable rear wing system
  • Evaluation of human seated posture exposure to low-frequency vibrations using biodynamic model
  • Pedestrian airbag folding patterns on airbag deployment and head injuries based on corpuscular particle method
  • Impact of vehicle-related factors on speed selection and accident severity rates
  • Accident detection system using laser, multiple sensors and GNSS

Special issue published: "Advanced Data Mining Techniques for Big Data and E-Learning"

International Journal of Business Intelligence and Data Mining 24(3/4) 2024

  • An automatic error correction method for business English text translation based on natural language processing
  • A multi-agent interactive teaching effect evaluation method based on matrix method
  • Knowledge mapping-based online teaching resource recommendation method for Chinese education
  • A personalised push method of English mobile reading resources based on tag similarity
  • Detection method of students' online learning state based on posture recognition
  • Prediction method of MOOC teaching effect based on data mining
  • Personalised recommendation of educational resources based on collaborative filtering
  • Push method of online learning resources based on user behaviour characteristics
  • An intelligent recommendation method of remote ideological and political education resources based on user clustering
  • Research on classification of educational digital resources based on KNN algorithm
  • Research on anomaly recognition of the English MOOC teaching platform based on deep feature learning
  • Personalised recommendation method of online ideological and political education resources in colleges and universities based on spectral clustering

4 April 2024

Special issue published: "Social Computing with Cognitive Awareness for User Centric Web Services"

International Journal of Web and Grid Services 20(1) 2024

  • Effectively learn how to learn: a novel few-shot learning with meta-gradient memory
  • Smart contracts and marketplace for just-in-time management of pharmaceutical drugs
  • An augmented interpretive framework based on aspect sentiment words aggregation
  • Attention-based mechanism and feature fusion network for person re-identification
  • Simplified swarm optimisation for CNN hyperparameters: a sound classification approach
  • C3D-LSTM: a novel convolution-3D-based LSTM for link prediction in dynamic social networks

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:
  • Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design
  • TCM in milling processes based on attention mechanism-combined long short-term memory using a sound sensor under different working conditions
  • Study on high frequency response characteristics of a moving-coil-type linear actuator using the coils combinations
  • Rolling bearing fault diagnosis based on VMD reconstruction and DCS demodulation
  • Review on processing stability, weld defects, finite element analysis, and field assisted welding of ultra-high-power laser (≥ 10 kW) welding
  • Large eddy simulation studies of two-phase flow characteristics in the abrasive flow machining of complex flow ways with a cross-section of cycloidal lobes
  • Solution of structural mechanic's problems by machine learning
These selections by the Editor in Chief represent the journal's most highly cited articles.

Research pick: Digital games debrief cyberbullies - "Ubiquitous game-based learning with a multimedia debriefing on cyberbullying during the COVID-19 pandemic"

The global COVID-19 pandemic caused much suffering and tragedy and continues to do so. One aspect of our everyday lives that was massively disrupted was education. Conventional classroom teaching methods had to be digitised urgently during lockdowns when schools were forced to close to reduce the risk of spreading the potentially lethal coronavirus. A study in the International Journal of Mobile Learning and Organisation has looked out how new strategies had to be developed during this time and how educators were forced to tackle the emergence of cyberbullying among middle school students that the shift to online learning led to.

In their work, Sasipim Poompimol, Suthiporn Sajjapanroj, and Thanyaluck Ingkavara of Mahidol University in Nakhon Pathom, Patcharin Panjaburee of Khon Kaen University in Khon Kaen, Chanayuth Changpetch of Mahasarakham University in Maha Sarakham, and Preeyada Tapingkae of Bansanpasak School in Chiang Mai, Thailand, introduced a digital board game along with multimedia debriefing sessions that could be used as educational tools for online and distance learning. These tools can be used to reduce the incidence of cyberbullying during a major crisis and afterwards, where online learning has become part of the new normal.

The team’s case study involved 56 middle school students. The team found that the students’ understanding and perceptions of cyberbullying after participating in gaming sessions with multimedia debriefing was much greater than when compared to those gaming sessions without the debriefing. Self-reported questionnaires and interviews further indicated positive experiences with the multimedia debriefing method and effectiveness of this game-based approach to learning in improving the students’ understanding of cyberbullying and hopefully leading to a fall in the number of such incidents.

The research also has implications beyond addressing the problem of cyberbullying. A similar approach might also be used to address mental health and digital well-being issues that arise when students are isolated from classmates and find themselves learning in their homes rather than the classroom, where there might be family or other environmental pressures on them. Innovation of this kind allows teachers to improve the learning experience for students. This will be relevant in the post-pandemic world and in the future when we have to face another such crisis.

Poompimol, S., Panjaburee, P., Sajjapanroj, S., Changpetch, C., Tapingkae, P. and Ingkavara, T. (2024) ‘Ubiquitous game-based learning with a multimedia debriefing on cyberbullying during the COVID-19 pandemic’, Int. J. Mobile Learning and Organisation, Vol. 18, No. 2, pp.135–168.

International Journal of Hydromechatronics to invite expanded papers from 25th International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE) for potential publication

Extended versions of papers presented at the 25th International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE) (17-20 July 2024, Kunming, China) will be invited for review and potential publication by the International Journal of Hydromechatronics.

3 April 2024

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:
  • Similarity-based optimised and adaptive adversarial attack on image classification using neural network
  • An investigation of machine learning-based intrusion detection system in mobile ad hoc network
  • Efficient feature extraction on mammogram images using enhanced grey level co-occurrence matrix
  • Adaptive and effective spatio-temporal modelling for offensive video classification using deep neural network
  • Context parameters retrieval framework from electronic healthcare record through biomedical NLP for clinical support

Special issue published: "Building 5G Networks Through Cloud Edge Computing"

International Journal of Networking and Virtual Organisations 30(2) 2024

  • An improved data aggregation for fog computing devices in internet of things
  • An efficient optimal load balancing algorithm for distributed file systems in cloud environment
  • The nexus between allied policies of GST and FDI with dependent telecom policies of licensing and universal service in India
  • Architectural framework for multiplayer cooperative cloud gaming to optimise quality of service
  • The triggers on compulsive online shopping of jeans

Research pick: Checking in on India’s hospitality sector - "Effect of sustainable competitive advantage on business excellence in the hotel industry"

Sustainable competitive advantage and business are critical to long-term viability in the hospitality industry in India, according to a study published in the International Journal of Business Excellence. The study focused on the National Capital Region but could equally apply more widely. Such insight is important to those working in the sector, given its highly competitive nature and ever-changing consumer preferences.

Deepali Anand and Alka Munjal of Amity University in Noida, India looked at the sector regarding hotels given star ratings in the region. They investigated how hoteliers boost their competitive advantage through cost leadership and differentiation. Cost leadership involves minimizing production and distribution costs while still offering a high-quality service to hotel guests. This is typically done through measures such as economies of scale and improved technology that can improve efficiency. On the other hand, differentiation focuses on giving customers a unique “offering” or “value proposition” that improves brand loyalty and the chances of a customer using the hotel repeatedly or sticking with a given of hotels if visiting other areas.

The hospitality industry, by its very nature, is obviously service-oriented. Aspiring to excellence at whatever star-rating a given hotel has, is critical to its long-term success. This involves excellent customer relations, organizational growth, employee satisfaction, and the quality of what the hotel offers its guests. However, demands of the modern traveller are constantly changing, albeit the basic need remains the same – a room with a bed and bathroom facilities. In India, there are also government initiatives that are there to support the hospitality sector. Hotels can benefit from these, but must, in their part, adapt to change and so innovate when it comes to how they operate.

The team considered whether hotels could benefit from prioritizing cost leadership, differentiation, or a combination of both. And, yes, these strategies do affect how hotels are run. Understanding the effect of different strategies can then decide whether a given hotel will have greater or less success in a competitive market environment.

Anand, D. and Munjal, A. (2024) ‘Effect of sustainable competitive advantage on business excellence in the hotel industry’, Int. J. Business Excellence, Vol. 32, No. 4, pp.545–560.

Free open access article available: "Expected utilities of liner shipping market trends: how can companies benefit?"

The following paper, "Expected utilities of liner shipping market trends: how can companies benefit?" (International Journal of Shipping and Transport Logistics 18(1) 2024), is freely available for download as an open access article.

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

2 April 2024

Special issue published: "Emerging Technologies and Trends in Modern E-Education for Sustainable Development"

International Journal of Computational Systems Engineering 8(1/2) 2024

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

Research pick: The digital jean genie is out of the bottle - "The triggers on compulsive online shopping of jeans"

Research in the International Journal of Networking and Virtual Organisations has investigated compulsive online shopping behaviour in India, with a specific focus aimed at unzipping the triggers and antecedents related to the purchase of jeans.

D. Manimegalai of the Department of Management Studies and S. Senthilkumar of the College of Management at the SRM Institute of Science and Technology in Tamil Nadu, India, carried out an online survey with more than 200 participants. They identified several factors that drive compulsive shopping tendencies among different demographic groups, including both male and female consumers.

The team has identified, through a detailed statistical analysis of their survey results, what compels shoppers to by denim trousers. Internal triggers, such as emotions and personal experiences, interact with external stimuli like online usage patterns and social influences to shape the purchasing decisions of online shoppers. Their findings could help marketing executives better understand consumer behaviour and so develop strategies to sell more jeans online.

The researchers point out that there are almost three-quarters of a billion pairs of jeans sold each year in India. That suggests on average that the population as a whole has a new pair of jeans every two years. But, the assumption is that everyone from toddlers to senior adults wears jeans. However, the research does suggest that there is a lot of compulsive behaviour and presumably a lot of adults with disposable income buying many more pairs of genes than that glib average would suggest.

Such repetitive buying may have future financial implications as well as highlighting latent social and psychological well-being issues. This would be especially the case if the compulsive buying extended to other products and led to increasing levels of debt. Indeed, the findings hint at the role of loneliness, anxiety, and novelty-seeking tendencies in driving compulsive shopping. The work thus highlights a responsibility and the need for targeted interventions and support mechanisms.

Manimegalai, D. and Senthilkumar, S. (2024) ‘The triggers on compulsive online shopping of jeans’, Int. J. Networking and Virtual Organisations, Vol. 30, No. 2, pp.206–219.

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:
  • Intelligent recommendation of educational resources combining Neu-MF and T-S fuzzy control
  • The relationship between organisational culture, knowledge sharing, work satisfaction and knowledge management maturity
  • A paradigm for the development of knowledge-intensive enterprises: the case of agricultural knowledge-intensive enterprises in west of Iran
  • Transformational leadership, organisational rich culture, and sustainability: a mediating role of an inclusive environment
  • A study of stakeholders' perspectives to inform management of the development of a civil nuclear power program for electricity generation in Ghana

Special issue published: "Contemporary Issues in Commerce, Technology and Sustainable Development"

International Journal of Business and Globalisation 36(2/3) 2024

  • Investigating effect of social media advice and corporate information on retail investors' decisions in stock market
  • Is ESG disclosure related to corporate performance? Empirical evidence from Indian companies
  • Examining non-performing assets in financial institutions in India
  • The effect of perceived philanthropic activities of corporate organisations on consumer's purchase intention
  • Measuring the impact of eco-friendly or green marketing on buying behaviour of Indian consumers
  • Building a sustainable relationship between customers and marketers
  • Moderating role of the 'type of hotel' on the relationship between human resource practices and job satisfaction in the hotel sector in India: a PLS-based SEM approach
  • Group cohesiveness and conformity as determinants of choice of promotions - an empirical study
  • Impact of product types and shopping incidence on perceptions of customer's e-tailing quality
  • Value co-creation through customer engagement in virtual communities for product innovation
  • Investigating the best attributes in selection of e-tailer for purchasing footwear: a conjoint approach
Additional papers
  • Bestination: an approach to 'sustainable' networking for Buddhist entrepreneurs
  • Eastern philosophies and employee retention in emerging Southeast Asian economies - the case of Vietnam

28 March 2024

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:
  • Data locality-aware and QoS-aware dynamic cloud workflow scheduling in Hadoop for heterogeneous environment
  • A feature-driven variability-enabled approach to adaptive service compositions
  • A new joint geo-opportunistic routing scheme in duty cycled internet of underwater things
  • Sentiment analysis and counselling for COVID-19 pandemic based on social media
  • A survey on the optimisation of age of information in wireless networks

Special issue published: "Entrepreneurship Responses to Disruptions, Crises, and ‘Black Swans’ – a Cross-Country, Comparative Perspective" (includes Open Access article)

European Journal of International Management 22(4) 2024

  • Relevant factors affecting nascent entrepreneurial activity in Chile and Spain: an analysis of the impact of the COVID-19
  • Gender roles shaping the entrepreneurial mindset: embedded in the entrepreneurial ecosystem and impacted by the pandemic
  • The role of entrepreneurial ecosystems in reducing the gender gap of entrepreneurial intention and exit rates
  • Ease of doing entrepreneurship: resilience during disruption and recovery in the recession 2009-2010 and the pandemic 2020-2021
Regularly submitted papers
  • International corporate governance: a science mapping approach [OPEN ACCESS]
  • The impact of sustainable tourism on quality of life among the marginalised community in Mabul Island, Sabah, Malaysia

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:
  • Differential impacts of fiscal consolidation policies under alternative monetary regimes: evidence from Indian economy
  • Impact of novel coronavirus outbreak-related announcements on pharmaceutical stocks: empirical evidence from an emerging market
  • The impact of low interest rates on the bank profitability
  • The influence of market power on bank risk-taking in the Euro area countries during the inter-crises period

Research pick: Liner notes for the shipping forecast - "Expected utilities of liner shipping market trends: how can companies benefit?"

A study in the International Journal of Shipping and Transport Logistics has outlined strategies to help liner shipping companies navigate the global market more effectively. The work was undertaken by Umur Bucak of the Department of Maritime Business Administration at Kocaeli University in Turkey against a challenging seascape. The study identifies key trends that are shaping the sector and offers practical insights for how companies might maintain competitiveness and build bridges to span the many challenges they face.

Bucak focused on the impact of geopolitical tensions, environmental regulations, and crises, such as the COVID-19 pandemic. The work emphasises how liner shipping companies must be able to change course quickly to benefit from changes in the market.

Using a combination of expected utilities theory and competitive advantage theory, Bucak was able to assess the prevalent market trends, which include digital transformation, decarbonisation initiatives, and supply chain integration. These trends are all key to making strategic decisions in the industry.

In order to determine effective strategies that would align with these trends, Bucak then used a hybrid methodology involving a fuzzy Analytic Hierarchy Process (AHP) model and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The work showed that the prioritization of rapid shipping between ports emerged as particularly beneficial and reflects the industry’s focus on speed and reliability amid rising freight rates and port congestion. The research also considers the economic implications of the trends identified by Bucak. By providing a framework for decision-making, his work could assist industry practitioners anchor themselves in a competitive market.

The study thus represents a significant step towards understanding and responding to changes within the liner shipping market. By using methodological innovations and theoretical frameworks, the research offers new and invaluable guidance for companies seeking to thrive amidst market shifts.

Bucak, U. (2024) ‘Expected utilities of liner shipping market trends: how can companies benefit?’, Int. J. Shipping and Transport Logistics, Vol. 18, No. 1, pp.92–110.

27 March 2024

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:
  • Study of substitution of carburised 16MnCr5 used in sub-axis of machine tool spindle by carbonitrided steel
  • A study on the sustainable machining of AISI 630 stainless steel under minimum quantity lubrication
  • Analysis optimisation of machining aspects and wear characterisation of Al6061 reinforced with SiC and graphite
  • Effect of elevated temperature on indentation response of glass/epoxy laminates hybridised with milled fibres
  • An experimental evaluation of mechanical properties and tribological behaviour of A380/NanohBN composite
  • Investigations on wear behaviour of Al 6061-GNP metal matrix composites by using Taguchi L16 approach

Special issue published: "Contemporary Issues in Commerce, Technology and Sustainable Development"

International Journal of Business and Globalisation 36(2/3) 2024

  • Investigating effect of social media advice and corporate information on retail investors' decisions in stock market
  • Is ESG disclosure related to corporate performance? Empirical evidence from Indian companies
  • Examining non-performing assets in financial institutions in India
  • The effect of perceived philanthropic activities of corporate organisations on consumer's purchase intention
  • Measuring the impact of eco-friendly or green marketing on buying behaviour of Indian consumers
  • Building a sustainable relationship between customers and marketers
  • Moderating role of the 'type of hotel' on the relationship between human resource practices and job satisfaction in the hotel sector in India: a PLS-based SEM approach
  • Group cohesiveness and conformity as determinants of choice of promotions - an empirical study
  • Impact of product types and shopping incidence on perceptions of customer's e-tailing quality
  • Value co-creation through customer engagement in virtual communities for product innovation
  • Investigating the best attributes in selection of e-tailer for purchasing footwear: a conjoint approach
Additional papers
  • Bestination: an approach to 'sustainable' networking for Buddhist entrepreneurs
  • Eastern philosophies and employee retention in emerging Southeast Asian economies - the case of Vietnam

Research pick: Red, red wine data for me - "Economic performance of wine production in EU: a multi-indicator comparative analysis"

A study of economic indicators in the wine industry across the European Union has shown significant variation between member states. Many of these are influenced by factors such as vineyard size and specialization.

Writing in the Journal for Global Business Advancement, a team from Cyprus explains how they used the Farm Accountancy Data Network (FADN) methodology to examine the economic indicators crucial for assessing the financial health of wine-producing farms. Aleksandra Figurek, Alkis Thrassou, and Demetris Vrontis of the University of Nicosia in Cyprus, EU, focused on metrics such as farm net value added (FNVA), FNVA per annual working unit (AWU), farm net income (FNI), and family farm income (FFI/FWU) for wine producers participating in the FADN. The team’s analysis provides insights into productivity and profitability by looking at the ratio between total output and input utilization, including intermediate consumption and specific expenses.

Despite this diversity between EU member states, the FADN methodology uses a standardized framework for analysing financial performance. It is this that allowed the team to identify best practices and areas for improvement, which could be useful for various stakeholders across the wine industry in different parts of the EU

The transition to the Farm Sustainability Data Network (FSDN) for many wine producers highlights the opportunity to expand data collection efforts to include environmental and social practices. This integrated approach enables a more comprehensive assessment of agricultural performance, which could help stakeholder decision-making at the local, micro, and macro levels. Additionally, the implementation of the new Common Agricultural Policy (CAP) (2023 to 2027), which prioritizes environmental sustainability and support for smaller farmers, aims to align agricultural growth with ecological and technological goals while enhancing competitiveness. The data analysis could thus help evaluate the efficacy of the CAP.

This research shows how new data methodologies can be used to study what programs are improving economic performance in wine production across the EU. By using such data-driven insights and seeing how this fits in with the ever-changing policy frameworks, the EU wine industry might at once address the challenges it faces and capitalize on the opportunities for sustainable growth and competitiveness in the global market.

Figurek, A., Thrassou, A. and Vrontis, D. (2023) ‘Economic performance of wine production in EU: a multi-indicator comparative analysis’, J. Global Business Advancement, Vol. 16, No. 1, pp.3–30.

Associate Prof. Xin Wang appointed as new Editor in Chief of International Journal of Signal and Imaging Systems Engineering

Associate Prof. Xin Wang from Shenyang Jianzhu University in China has been appointed to take over editorship of the International Journal of Signal and Imaging Systems Engineering.

26 March 2024

Special issue published: "Exploring Business Research in Multifaceted Dimensions of Contemporary Organisational Paradigms in Emerging Countries"

Journal for Global Business Advancement 16(1) 2023

  • Economic performance of wine production in EU: a multi-indicator comparative analysis
  • Employee engagement of millennials and non-millennials: role of organisational culture
  • Effects of sustainability orientation, integration, and value addition on food cold chain performance: a Thai perspective
  • Investing in student well-being: how cyclic meditation can reduce stress and foster mindfulness in academic institutions: a case from India
  • Exploring teaching assistants' employment in higher education: a case of Qatar University
  • Investigating the influence of adaptation behaviours on continuance intention to use ride-hailing applications: a case from the drivers' perspective

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:
  • Suppress of effects in steady state of disturbance and parameter deviations of generalised minimum variance control
  • Robust H2/H∞ DPDC dynamic output feedback controller for an uncertain tensor product model of statically unstable missile
  • An automatic artificial pancreas based on AOA-VPTIDF control algorithm
  • Fractional order adaptive MRAC controller design for high-accuracy position control of an industrial robot arm
  • Swing-up design of double inverted pendulum by using passive control method based on operator theory

Research pick: Masculine nuance in advertising - "A qualitative study of consumer perceptions about masculinity in advertising: content, sentiment, and discourse analysis"

A recent study in the International Journal of Learning and Change has looked at how consumers interpret masculinity in advertising. The study reveals some intriguing findings and sheds light on how active engagement is shaped by an analysis of the portrayals of masculinity in advertisements on the well-known video-sharing platform YouTube.

Toms Kreicbergs and Deniss Ščeulovs of Riga Technical University in Riga, Latvia, took YouTube comments as a source of qualitative data and found that consumers consider various factors beyond the immediate presentation. Such factors included the broader cultural context and comparisons with the approach of others in the advertising world. Surprisingly, the study highlights that the depiction of masculinity often takes precedence over the advertised product itself. This suggests that the marketing is often more important than the product itself in influencing consumer perception and purchasing intention.

At a time when societal norms surrounding masculinity are evolving, it is interesting to note that traditional depictions persist alongside emerging ideals that otherwise challenge gender stereotypes. With increasing awareness and acceptance of diverse gender identities, consumers are scrutinizing advertisements for their portrayal of masculinity, seeking authenticity and inclusivity and by turn increasingly making their buying decisions in this context.

The research suggests that humour can effectively convey traditional masculinity without eliciting negative reactions. However, there is a need to embrace progressive and diverse representations as these are increasingly important to society and so to advertisers hoping to sit easily within the evolving cultural world. To be successful, advertisers need to write copy and produce advertisements that resonate with what we might refer to as the modern audience. Indeed, brands that successfully navigate this fragmented landscape might ultimately build stronger connections with consumers who value authenticity and representation and become loyal followers of said brands and perhaps even word-of-mouth advocates of those brands and what they perceive them to stand for.

In contrast to what one might expect, the research indicates that on the whole consumers react positively to the portrayal of masculinity in advertising. The finding suggests that such advertisements might serve as a cultural touchstone for those who see them. This finding challenges previous assumptions about consumer attitudes toward gender portrayals in marketing and underscores the evolving nature of societal norms. There is thus a need for a more comprehensive approach to understanding consumer attitudes by incorporating surveys, focus groups, and expert interviews alongside existing methods.

Kreicbergs, T. and Ščeulovs, D. (2024) ‘A qualitative study of consumer perceptions about masculinity in advertising: content, sentiment, and discourse analysis’, Int. J. Learning and Change, Vol. 16, Nos. 2/3, pp.327–348.

Special issue published: "Contemporary Issues in Business and Management"

International Journal of Learning and Change 16(2/3) 2024

  • Use of copyrighted works in business
  • Risk management maturity enhancement in healthcare through the application of quality management principles
  • Communication, leadership and team motivation as drivers of success in project management - development of a conceptual framework
  • Digital media and organisational environment as main influence factors for e-leadership
  • Impact of the COVID-19 pandemic on an aviation company: change management approach
  • Ambidexterity in resilience: a multilevel approach
  • Sustainable commercial agency agreements in civil law and common law
  • Influence of business model and marketing environment of Thai gems and jewellery during COVID-19 pandemic: opportunities and challenges
  • Towards sustainable fiduciary duties in private law
  • Megatrends and ethics in future project management - how project leaders can benefit from their potential
  • A qualitative study of consumer perceptions about masculinity in advertising: content, sentiment, and discourse analysis

25 March 2024

Special issue published: "Foreseeing and Designing Intercultural Dialogic Sustainability Policies"

International Journal of Foresight and Innovation Policy 16(2/3/4) 2023

  • Editorial: Foresight for democratising Russia?
  • Individual and societal learning allow globally financed developmental cooperation
  • Citizenship education in world risk society: an evolutionary perspective
  • The hegemony in artificial intelligence technology: a depiction through patent analysis
  • Actual strategic directions for the development of Russian fuel and energy companies to ensure the country's economic security
  • Dedicated energy crops: support policies in Europe and in post-war Ukraine
  • Low carbon transformation of energy, transport, industry, and agriculture companies in Ukraine
  • Size does matter: South Africa's automotive industry during and post the COVID-19 pandemic
  • Health foresight: the positive effects of strength training
  • Shaping decentralised energy policies while thinking openly about future technologies
  • True empathy, part 5: case studies
  • Futures of science, technology, engineering and mathematics including computer science education: what will the crossroad with liberal arts look like?
  • Strategic foresight for competitive advantage: a future-oriented business and competitive analysis techniques selection model
  • Complexity and uncertainty in a world of emergence part 1

Free sample articles newly available from International Journal of Technoentrepreneurship

The following sample articles from the International Journal of Technoentrepreneurship are now available here for free:
  • Intrapreneurial behaviours and the innovative performance of technology enterprises: employee characteristics' moderating effect
  • Effects of social media adoption on SME performance: the moderating role of business strategy
  • Driving factors for the use of business intelligence and analytics among Indonesian startups
  • How to choose the most suitable ERP for an SME: the ERP-SSM methodological proposal

Research pick: AI food detective - "Food ingredient recognition model via image and textual feature extraction and hybrid classification strategy"

Research in the International Journal of Reasoning-based Intelligent Systems discusses a new approach to the identification of ingredients in photographs of food. The work will be useful in our moving forward on food safety endeavours. Sharanabasappa A. Madival and Shivkumar S. Jawaligi of Sharnbasva University in Kalburgi, Karanataka, India, used a two-stage process of feature extraction and classification to improve on previous approaches to ingredient identification in this context.

The team explain that their approach used Scale-Invariant Feature Transform (SIFT) and Convolutional Neural Network (CNN)-based deep features to extract both image and textual features. Once extracted, the features are fed into a hybrid classifier, which merges Neural Network (NN) and Long Short-Term Memory (LSTM) models. The team explains that precision of their model can be further refined through the application of the Chebyshev Map Evaluated Teamwork Optimization (CME-TWO) algorithm. All of this leads to an accurate identification of the ingredients.

Food management in a globalised world is critical to worldwide supply chains, to food security, traceability and detection of fake food and food fraud. We, as consumers and diners, need to know that the ingredients in the food we eat, especially in the context of diverse dietary preferences and health considerations, are valid.

The team found that their approach works more effectively than current ingredient identification systems. Specifically, they demonstrated that the HC + CME-TWO model performs the best by a large margin, which can thus be taken as indicating a significant advancement in this area. It is the use of a hybrid classifier and the fine-tuning of weightings using the CME-TWO algorithm that leads to the marked improvement in accuracy and reliability. Moreover, the team says that there is still room for improvement in terms of shortening processing times through optimization.

The work focuses on food safety but could be used to address the challenges facing regulators and others attempting to ensure food authenticity, especially among high-value foods.

Madival, S.A. and Jawaligi, S.S. (2024) ‘Food ingredient recognition model via image and textual feature extraction and hybrid classification strategy’, Int. J. Reasoning-based Intelligent Systems, Vol. 16, No. 1, pp.74–90.

Special issue published: "23rd Korean Thermophysical Properties (KSTP) Conference"

International Journal of Nanotechnology 21(3) 2024

  • Experimental investigation on the thermophysical properties and heat storage/retrieval studies of [HMIM]+ cation-based ionic liquids for energy storage application
  • Influence of convective heat transfer on the AC temperature amplitude of a microheater on glass or polyimide substrate
  • Thermal contact resistance measurement between EXG and polyimide substrates under varying pressure and thermal interfacial material
  • In-situ turbidity sensor system for residential water quality monitoring
  • Wireless sensing for monitoring nuclear power equipment
  • Effect of thermal contact resistance on heat generation in conduction-cooled binary current lead
  • Thermal analysis of a 3 T cryogen-free superconducting magnet for electromagnetic property measurement system
  • Development of thermal conductivity measurement system based on cryocooler for broad temperature range
  • Evaluation of the glass transition temperature of EPDM using a dynamic mechanical analyser
  • Temperature and enthalpy of fusion calibration of Calvet calorimeter from -150°C to 156°C

22 March 2024

Research pick: Does everybody hurt? AI detects depression online - "Depression prediction and therapy recommendation using machine learning technique"

A study in the International Journal of Computational Systems Engineering has introduced a new approach to identifying depression through the analysis of online comments, particularly on social media platforms, including Reddit, one of the earliest and still-popular microblogging systems. K.G. Saranya, C.H. Babitha Reddy, M. Bhavyasree, M. Rubika, and E. Varsha of PSG College of Technology in Coimbatore, India, have used machine learning techniques, specifically the BERT model, to pick out signs of depression in the language patterns used online discussions.

The BERT (Bidirectional Encoder Representations from Transformers) model is a type of natural language processing (NLP) model developed by researchers at Google in 2018. It belongs to the family of Transformer models, which have become increasingly popular in NLP tasks due to their effectiveness in capturing long-range dependencies in text.

In contemporary health discussions, mental wellbeing has come to the fore, especially since the peak of the COVID-19 pandemic. The current research could fill critical gaps in conventional mental health diagnostics. Where traditional approaches remain challenging, there is a need for more wide-ranging methods that might be used to identify issues as they arise without the need to head into the clinic for full-blown assessment prior to a healthcare intervention.

The BERT model has promise in accurately distinguishing between individuals exhibiting signs of depression and those who are not. The team explains that their approach integrates collaborative filtering techniques to recommend tailored therapies based on identified depression patterns It has an accuracy rate of 87 percent which obviously leaves room for improvement, which is where further investigation or help would come into its own.

The implications of this research are far-reaching. By harnessing the power of AI and computational methods, early diagnosis of mental health problems, specifically depression in this instance, could become more accessible and efficient. The ability to detect depression through online interactions could free up healthcare workers to work with more challenging cases, but more importantly for the individual, allow earlier diagnosis and intervention to support them when they face, previously unrecognised mental problems.

The next step will be to expand the dataset to other online communities with different userbases, ethos, and approach to allow accurate and applicable diagnoses to be made essentially independently of the platform being analysed. The team will continue to refine the algorithms used and thus to improve accuracy and develop approaches to offer personalized interventions and treatments tailored to the individual.

Saranya, K.G., Reddy, C.H.B., Bhavyasree, M., Rubika, M. and Varsha, E. (2024) ‘Depression prediction and therapy recommendation using machine learning technique’, Int. J. Computational Systems Engineering, Vol. 8, Nos. 1/2, pp.120–127.

International Journal of Entrepreneurship and Small Business indexed by Clarivate's Emerging Sources Citation Index

Inderscience is pleased to announce that the International Journal of Entrepreneurship and Small Business has been indexed by Clarivate's Emerging Sources Citation Index.

The journal's Editor in Chief, Prof. Leo Dana, thanks his editorial board and IJESB's reviewers for the parts they played in reaching this significant milestone, as well as all the authors who've submitted their research to the journal.

Free sample articles newly available from International Journal of Electric and Hybrid Vehicles

The following sample articles from the International Journal of Electric and Hybrid Vehicles are now available here for free:
  • Modelling and analysis of electric two-wheeler with novel planetary gear box transmission
  • Comprehensive review on charging solution of electric vehicle - an internet of things-based approach
  • An exploration on electric vehicle purchase intention
  • Criteria and integration limitations for cells and thermal management in EV battery pack design: a review

21 March 2024

Free sample articles newly available from Journal for Global Business Advancement

The following sample articles from the Journal for Global Business Advancement are now available here for free:
  • Poverty alleviation among Vietnamese ethnic minorities: a behavioural economics perspective
  • The influence of employees' perceived work performance on the pro-environmental behaviours: the role of organisational identification in the Vietnamese hospitality industry
  • The influence of career adaptability on well-being indicators and job performance
  • Understanding the influence of user adaptation on the continuance intention towards ride-hailing services: the perspective of management support
  • Determinants of the budgetary transparency of public finance in Thailand's educational sector
  • Internationalisation and the performance of German firms

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:
  • Cluster quality analysis based on SVD, PCA-based k-means and NMF techniques: an online survey data
  • Face recognition algorithm of sprinters based on sliding data camera measurement
  • Entity extraction based on the combination of information entropy and TF-IDF
  • Study on privacy node encryption method for wireless sensor networks based on edge computing
  • A decision tree-based method for detecting middle school students' behaviour characteristics in online English learning
  • Location distribution detection of urban drainage pipeline based on deep learning feature
  • Study on behaviour anomaly detection method of English online learning based on feature extraction
  • Recognition method of football players' shooting action based on Bayesian classification
  • Detection method of e-commerce cluster consumption behaviour based on data feature mining
  • An intelligent recommendation method of personalised tour route based on association rules
  • Named entity recognition in Odia language: a rule-based approach
  • A recognition method of learning behaviour in English online classroom based on feature data mining
  • Image detail enhancement of two-dimensional animation scene based on dual domain decomposition

Research pick: Watcher of the Spies - "Enabling secure modern web browsers against cache-based timing attacks"

Web applications increasingly underpin other technologies and systems not least cloud computing services and the Internet of Things networks, smart infrastructure, and much more. Safeguarding user privacy on various systems and networks that use web applications has emerged as a critical concern among computer security experts.

Among the many threats they have to address and defeat are so-called cache side-channel attacks within virtualization systems as these are gaining prominence and being exploited widely by malicious and criminal third parties. Commonly, such attacks will allow the third party to steal a cryptographic key from a user and thus gain access to any data protected by that key.

Writing in the International Journal of Security and Networks, Sangeetha Ganesan of the Department of Artificial Intelligence and Data Science at the R.M.K College of Engineering and Technology in Tamil Nadu, India, explains how the almost ubiquitous web development programming language JavaScript enables access to various APIs and sensors. It is the prevalence of this language, however, that leads to privacy concerns where vulnerabilities are found and exploited by malicious third-parties. For instance, cache side-channel attacks exploit shared cache memory to allow a third party to illicitly access private, personal or otherwise sensitive information held within the cache from various users on the system by exploiting vulnerabilities in Javascript.

Unlike more conventional threats, cache side-channel attacks work by detecting the subtle differences in access times between cached and uncached values to allow the third party to extract information. Some of the malware available to such third parties is very fast and effective and so countermeasures are urgently needed to protect vulnerable systems from abuse.

To address this growing problem, Ganesan has developed the Browser Watcher system. This security solution can defend against time-based cache side-channel attacks. It works by prioritising the security of the putative victim’s secret keys. When it detects an ongoing attack, the system promptly flushes the Last Level Cache, which effectively thwarts any attempt to steal data from the cache. This proactive approach might lead to a temporary drop in computing performance, but that is a price worth paying for securing one’s data when under attack.

Ganesan, S. (2024) ‘Enabling secure modern web browsers against cache-based timing attacks’, Int. J. Security and Networks, Vol. 19, No. 1, pp.43–54.

Free sample articles newly available from International Journal of Mechanisms and Robotic Systems

The following sample articles from the International Journal of Mechanisms and Robotic Systems are now available here for free:
  • Study of the dynamic interaction between planetary vehicles and planets soft soil
  • Analytical solution of a five-degree-of-freedom inverse kinematics problem for the handling mechanism of an agricultural robot
  • Modelling and design of tracked mobile climbing robots on non-planar surfaces
  • A review study on bio-inspired robotic fish

20 March 2024

Free sample articles newly available from International Journal of Enterprise Network Management

The following sample articles from the International Journal of Enterprise Network Management are now available here for free:
  • Optimisation of drilling process parameters of aluminium matrix composites (LM5/ZrO2)
  • Mobile wallet app engagement and word of mouth recommendation: an exploration of antecedents
  • Role of supply chain performance in global value chain creation in COVID-19: a partial least square modelling framework for emerging economy
  • Digital payment apps: perception and adoption - a study of higher education students
  • Understanding the interaction among motivators of entrepreneurial aspiration of university students in India
  • Distribution and transportation model for COVID-19 vaccine
  • A multi-criteria decision (fuzzy) approach for IoT adoption in developing nation: a study during COVID-19
  • Longitudinal assessment of green procurement practices adopted by manufacturing firms in an emerging economy using multivariate approach
  • Adoption of Lean Six Sigma to improve safety culture - a case study of Indian manufacturing unit
  • Prioritising and testing the integrated behavioural model of organisational citizenship behaviour through fuzzy AHP and structural equation modelling

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:
  • Using free open-source tools for text visualisation over unstructured corpus effectively
  • Study of Python libraries for NLP
  • Prognosis of urban environs using time series analysis for preventing overexploitation using artificial intelligence
  • The impact of online trading from a personal and technical perspective on trade stocks in emerging markets
  • Improving the accuracy of real field pomegranate fruit diseases detection and visualisation using convolution neural networks and grad-CAM
  • Effect of noise uncertainty during spectrum sensing for cognitive radio ad hoc networks
  • Analysis of PCS-QoL to investigate the holistic health for sustainable way of living in smart cities of 21st century

Research pick: Getting with the electronic beat - "Adaptive classification method of electronic music based on improved decision tree"

A new method for classifying electronic music has been developed by researchers in China. The approach offers a novel solution in an age of exploding digital content to curating music libraries and streaming services. Writing in the International Journal of Arts and Technology, Hongyuan Wu and Lin Zhu of the College of Music at Chong’qing Normal University, explain how such services are currently overwhelmed in terms of valid classification methods.

Traditional approaches are simplistic, based on labelling, and not keeping up with modern use and tastes. The team points out that classifying electronic music by genre is particularly difficult as this broad genre has wide and diffuse boundaries between different styles that are often highly subjective and influenced by cultural nuances.

The team’s new approach uses a complex decision tree framework to achieve high accuracy and speed up processing times, making a leap from 33-and-a-third to 45, you might say! The process starts with noise removal using principal component analysis and then segments the track into small chunks. The features from each chunk are then extracted using a method known as short-time Fourier transform. The team then fine-tunes their decision tree model to achieve the most precise classification possible.

Indeed, their tests have shown that their method can be very effective, with a classification accuracy up to 98.6 percent. The implications go far beyond academic interest, with potential applications across the music and other industries. Music streaming services and online libraries rely heavily on accurate genre classification and could take advantage of this new approach to allow them to organize their collections and market music more subtly to their users. Users might include everyday music fans or those involved in the media or elsewhere who need specific styles of music to accompany their creative outputs.

For instance, the classification approach should make it easier for everyday users to explore music, discover new sounds or retrieve golden oldies. In marketing and advertising and other areas, understanding music preferences based on genre classification is critical for targeted campaigns based on music taste.

Wu, H. and Zhu, L. (2024) ‘Adaptive classification method of electronic music based on improved decision tree’, Int. J. Arts and Technology, Vol. 15, No. 1, pp.1–12.