The following International Journal of Business Information Systems article, "Social media marketing role on online purchasing decisions in Indonesia", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Simulation and Process Modelling article, "Multimodal pose estimation and simulation modelling for real-time human motion analysis", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Industrial and Systems Engineering article, "Research on immersive experience of packaging design based on virtual reality and semantic segmentation algorithm", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A high-precision approach to predicting university student academic performance and flagging those students at risk of dropping is reported in the International Journal of Internet Manufacturing and Services. The approach combines machine learning with advanced optimisation techniques inspired by natural processes to help universities identify students that are struggling sooner rather than later and allow them to tailor support before problems escalate.
The approach uses a Gaussian Process Classifier (GPC), a statistical model that estimates the likelihood of particular outcomes based on complex, multidimensional data. The GPC is enhanced using an optimisation algorithm inspired by nature, following the way in which organisms locate sources of scent to allow the system to home in on an accurate solution to the question. In addition, it uses a Particle Velocity Search Algorithm (PVSA), based on the collective movement of particles in a fluid. This combination allows the system to fine-tune its parameters to detect subtle patterns in the data regarding student performance, attendance, marks, and engagement levels. In tests, the system could accurately discern which students needed additional support or guidance.
Traditional monitoring methods, while invaluable, often fail to spot early signs of academic difficulty. By contrast, the new model, through the analysis of large datasets, can detect individual behaviour and achievement that change over time and indicate problems earlier.
The work might allow universities to make better data-driven decisions regarding academic support and the distribution of resources, as well as reducing student dropout rates. The researchers suggest that categorising students by learning patterns rather than simple grades could help institutions design more equitable and personalised educational experiences.
Huang, K. and Wang, C. (2025) ‘Utilising a Gaussian process classifier integrating with meta-heuristic optimisers to predict and classify performance systems’, Int. J. Internet Manufacturing and Services, Vol. 11, No. 5, pp.1–30.
The following International Journal of Automation and Control article, "Design of a model predictive-based fault estimator for faulty nonlinear switched dynamics with guaranteed recursive feasibility", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Innovative design of ceramic products based on extension reasoning and generative adversarial networks", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Virtual landscape layout generation using physically constrained particle swarm optimisation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Research on optimisation of remote monitoring network for power systems based on satellite and wireless communications", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The common vernacular of YOLO, you only live once, and FOMO, fear of missing out, lead many people to yo-yo up and down between anxiety states. Research in the International Journal of Economics and Business Research, has looked at the role of self-esteem when people have that FOMO feeling in the context of conspicuous consumption (COCO).
The research shows that FOMO can nudge people to spend more on goods that display status or success than they otherwise would. The research also shows that this effect operates partly by eroding self-esteem, prompting individuals to seek reassurance and validation through conspicuous consumption of material possessions. The conclusions were drawn after an analysis of survey results from 561 employed adults in mainland China.
The analysis revealed that people who feel stronger FOMO are markedly more likely to engage in such spending. At the same time, the researchers found that FOMO reduces a person’s sense of worth, their self-esteem. One might think of it as being the psychological equivalent of comfort eating, but it is the unnecessary consumption of high-prestige and other possessions rather than the inappropriate ingestion of food. The acquisition of possessions becomes the means by which the consumer attempts to restore their self-worth and social standing. Rarely is comfort eating or such conspicuous consumption of long-term benefit to the individual.
The results suggest that the relationship between FOMO and conspicuous consumption operates on two levels: a direct urge to keep up with others, and an indirect process in which reduced self-esteem fuels the desire for visible affirmation. Those with stronger self-esteem appear more resilient to these pressures, relying on internal rather than external sources of validation.
Gender did not emerge as influencing factor, men and women were equally prone to the issues. However, age did have an effect with older participants less affected by FOMO than younger people, suggesting that age brings greater emotional maturity and less dependence on external validation.
Jiang, Z-W. and Chang, S-Y. (2025) ‘The impact of fear of missing out on conspicuous consumption: the mediating role of self-esteem’, Int. J. Economics and Business Research, Vol. 29, No. 18, pp.1–19.
The following International Journal of Information and Communication Technology article, "Multi-spectral remote sensing image land classification algorithm for unmanned aerial vehicles targeting transmission line corridors", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Student career guidance using sentiment analysis and decision tree models", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Green Economics article, "Sustainable consumer choices: the role of green products, pricing, and marketing in Indonesia's tissue industry", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the International Journal of Industrial and Systems Engineering discusses an immersive packaging design system that brings together virtual reality (VR) and advanced image analysis to create a more intuitive and realistic way of developing new products. The research suggests that this new approach could allow designers and consumers to experience packaging in three dimensions, exploring how materials, textures, and layouts will look and work before the produced is actually manufactured.
The usual approach to design in this area relies on two-dimensional renderings that do not always capture the depth or tactile qualities of packaging. The new system overcomes these limitations by allowing users to enter a virtual environment where they can view and manipulate designs as if handling real objects. In this virtual world, the designers might look at how labelling fits around bottles or how colours behave under different lighting. From the consumers’ perspective, testers can pick up and inspect products virtually, gaining a clearer sense of scale and usability and so feed back their feelings to the designers and developers.
The research uses semantic segmentation, which automatically identifies and separates different visual elements in packaging images, the logos, text, and materials, at the pixel level for optimal precision. This approach allows each component to be edited individually within the virtual space. This means that developers don’t have to rely on static mock-ups, designers can test variations instantly, and marketing teams can assess how small adjustments might affect user perception or emotional response.
The use of virtual reality with intelligent design tools suggests a new direction for packaging design. The work marks a shift towards more interactive, human-centred design approaches that brings together creative intent and consumer experience.
The next step in the research would be to develop touch and sound feedback, so that the art of packaging design comes even closer to the sensory qualities of a real prototype in the real world.
Ye, X., Tan, J. and Du, B. (2025) ‘Research on immersive experience of packaging design based on virtual reality and semantic segmentation algorithm’, Int. J. Industrial and Systems Engineering, Vol. 51, No. 5, pp.1–18.
The following International Journal of Electronic Marketing and Retailing article, "How customer expectations drive loyalty to food delivery app brands", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "An intelligent analysis model for enhancing rural e-commerce sales efficiency in live streaming environments", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Social media sentiment diffusion modelling algorithms for brand communication", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A new artificial intelligence system discussed in the International Journal of Simulation and Process Modelling could help make school and university sports safer and more effective. The system can analyse video of human movements in real time and combine this with data from sensors to understand those movements. The analysis can identify movements that would be unclear to a human observer because they are fast, unpredictable or hidden from view. The researchers suggest it will be a boon in physical education and how it is taught and monitored.
Current “pose recognition” tools use computer vision to identify human postures but often struggle with the complexities of real-world sports. Movements are usually irregular and constantly changing in most sports. The new system tackles this underlying problem by combining visual information with data from motion sensors, and then building on embedded simulations to allow it to interpret and predict movements as they happen.
The team tested their system on established benchmark datasets, including Human3.6M and the team’s own CollegeSports-200 collection. They achieved almost 97 per cent accuracy. They kept the error count caused by visual obstructions low and with a frame rate of 38 frames per second, the system is fast enough to deliver live feedback. In field trials, they also had encouraging results as students were guided based on the system’s analysis and were seen to improve on poor posture and results when their teachers had a clearer picture of fitness patterns across groups.
The team suggests this novel approach could lead to more adaptive, evidence-based physical education. Such an approach uses data directly to plan improved exercise and practice, and even to cut the potential for injuries.
Chen, D., Ni, Z. and Huang, W. (2025) ‘Multimodal pose estimation and simulation modelling for real-time human motion analysis’, Int. J. Simulation and Process Modelling, Vol. 22, No. 5, pp.1–10.
Research in the International Journal of Automation and Control describes a novel mathematical framework that can estimate fault risk in complex industrial systems, such as petrochemical reactors. The research might improve reliability of automated processes in the petrochemical sector and in other areas of advanced manufacturing.
The work builds on a predictive defect estimation model. It works for switched non-linear the behaviour of which alternates between different operating modes depending on conditions or control inputs. This is a common modality of chemical reactors, robotic platforms, and automated processes. The accurate prediction of imminent issues with such systems has always been a challenge because system response can vary widely with changing inputs, environmental conditions, and internal dynamics.
By using a mathematical representation of the system, a so-called augmented state-space model, variables describing the current condition of the system and failure signals, which indicate the presence of faults, the new model can evaluate how closely a system’s predicted behaviour matches its actual behaviour. Discrepancies between the two are analysed statistically by the model to home in on whether the system is stable or liable to fail.
The researchers point out that traditional fault detection methods have always been limited by restrictive assumptions about system dynamics. The new approach allows for continuous real-time monitoring in industrial environments. Tests with a stirred tank reactor as a standard benchmark for modelling chemical reactions gave fault-free accuracy within 0.05 and successfully detecting both constant and time-varying faults. The current system works to detect faults that develop gradually. Real-world industrial settings introduce additional complexities, such as abrupt faults, high-frequency disturbances, and measurement noise, all of which will require further refinement of the model.
Wang, L. (2025) ‘Design of a model predictive-based fault estimator for faulty nonlinear switched dynamics with guaranteed recursive feasibility’, Int. J. Automation and Control, Vol. 19, No. 7, pp.1–22.
The following International Journal of Information and Communication Technology article, "A news content recommendation model integrating social relationships and temporal features", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A study published in the International Journal of Mobile Learning and Organisation has mapped the fast-growing field of generative artificial intelligence (GenAI) in education. The research highlights both the technology’s transformative potential and gaps in understanding how it affects learning and cognition. Academic interest in GenAI has surged, from just a handful of papers to many hundreds now.
GenAI refers to systems using deep learning and natural language processing to generate content or responses that emulate human tasks. In education, these systems are increasingly seen as capable of performing roles once the preserve of teachers, tutors, peer mentors, and administrative staff. They can deliver personalized instruction, real-time feedback, and data-driven decision support.
Applications range widely from language learning, where AI can simulate conversation and assess fluency, to healthcare training, where it helps students build clinical reasoning and critical thinking. Critics warn, however, of ethical issues and biases in training data that may affect fairness and trustworthiness.
The study found that most research so far centres on learner perceptions, how students feel about using GenAI, their motivation, and their trust in its usefulness. These early studies, largely survey-based, provide useful foundations for future studies but leave deeper questions unanswered. Few investigations have explored the cognitive and behavioural mechanisms underlying how learners actually interact with GenAI, a gap that could hinder efforts to design more effective and ethical systems.
Some studies have examined GenAI as a teaching support tool, focusing on human-computer interaction and adaptive learning that tailors content to individuals. Others have explored its role in assessment, offering automated feedback and grading. However, reliability remains a major concern, especially given that GenAI outputs can be inconsistent, and decision-making processes are often opaque, raising questions about fairness and academic integrity. One term that often arises in any discussion of GenAI is “hallucinations” where the system produces what seems to be wholly fabricated output that is not based on facts.
The authors argue that more empirical research is now needed to understand how GenAI shapes learning, thinking, and evaluation. Without such evidence, there is a risk that GenAI will spread through education superficially, enhancing convenience but not necessarily deepening learning.
By mapping hundreds of studies, the paper provides valuable insights for policymakers and educators hoping to harness the potential of GenAI responsibly. It identifies both promising directions and critical blind spots in the effort to integrate AI into educational practice.
Tu, Y-F. and Lu, Y-C. (2025) ‘Trends of generative AI applications in educational settings’, Int. J. Mobile Learning and Organisation, Vol. 19, No. 4, pp.442–467.
The following International Journal of Information and Communication Technology article, "Development of an AI-powered classification model for monitoring construction disturbances using remote sensing data", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Application of CNN image signal denoising technology in virtual reality environment", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Financial risk prediction and warning system based on SGAN deep learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Bio-Inspired Computation article, "A knapsack modelling approach to financial resource allocation problem using a dual search pattern firefly algorithm", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Agile Systems and Management article, "LAMPD: a combined lean and agile model for product development", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behaviour of organisms to tackle difficult and often overwhelming problems. For example, algorithms have been inspired by honeybees’ flight patterns when searching for nectar, ants’ social foraging strategies, the evasive murmurations of birds and fish, and even the growth patterns of slime moulds. By modelling these natural processes mathematically, researchers can develop innovative solutions to complex challenges.
Work published in the International Journal of Bio-Inspired Computation has turned to fireflies and how they seek out the brightest of their number to address the classic knapsack problem. This problem involves making optimal choices about resource allocation under specific constraints. Using the firefly algorithm, researchers have explored how this natural behaviour might be used to guide decision-making in modern financial systems.
Conventional optimization techniques, such as dynamic programming, often struggle with the scale and volatility of real-world finance. When objectives such as profitability, regulatory compliance, and ethical considerations must all be balanced, those methods often fall short. Inspired by the firefly’s attraction to brighter individuals, the firefly algorithm provides an adaptive strategy that can explore and exploit potential solutions, even in complex, dynamic environments. The integration of machine learning helps handle noisy and rapidly changing data, both of which are characteristics of financial markets.
The researchers specifically used the dual search pattern firefly algorithm (DSPFA), which combines Gaussian distributions with Lévy flights. This mathematical approach models both small incremental adjustments and rare, large jumps. This allows the algorithm to adapt in real time to changing financial conditions. It can dynamically balance risk and return while also accounting for environmental, social, and governance considerations.
Simulations demonstrated that this approach can effectively handle a variety of constraints, such as liquidity limits and regulatory requirements. At the same time, it maintains computational efficiency and produces decisions that are relatively easy to audit.
Xiao, X., Chen, Z., Quan, L., Stojanovic, A. and Wu, L. (2025) ‘A knapsack modelling approach to financial resource allocation problem using a dual search pattern firefly algorithm’, Int. J. Bio-Inspired Computation, Vol. 26, No. 5, pp.1–13.
A study in the World Review of Entrepreneurship, Management and Sustainable Development has revealed the important role both financial and digital literacy play in boosting the performance and resilience of micro, small and medium enterprises in Indonesia. Given that such companies form the backbone of the national economy, it is critical, from the perspective of policymakers, to understand their activities and drivers, as well as their strengths and weaknesses.
The results are based on an analysis of survey results from 77 business owners and managers and consider levels of financial and technological literacy. The study shows that such literacy has a strong positive effect on the performance of small companies , while competitive pressures exert a smaller but still significant influence.
In the context of a resource-based view of companies, internal capabilities, rather than external conditions, are considered the primary drivers of competitiveness. As such, financial technological literacy are regarded as intangible strategic resources: valuable, rare, and difficult for competitors to replicate. Those small companies that can cultivate these “resources” can adapt, make informed decisions, and sustain long-term growth more effectively, the work suggests.
Financial literacy refers to the ability to manage budgets, plan investments, and interpret financial data accurately. For small business owners, such competence reduces the risk of poor financial decisions and improves resource allocation. Financial technology, fintech, literacy is the understanding and effective use of digital tools such as online banking platforms, digital payment systems, and accounting applications. This competency enhances operational efficiency and broadens access to regional, national, and potentially even international markets.
Nevertheless, competitive pressure does make a positive contribution to innovation in a company and how it refines its products and services. Competition is a catalyst for boosting creativity and improving efficiency. The implications of the work thus lie in how government and business associations might be encouraged to develop targeted financial and fintech literacy training for entrepreneurs.
Ulupui, I.G.K.A., Zairin, G.M., Sutanti, F.D., Khairunnisa, H., Zakaria, A. and Nurmalita, S. (2025) ‘Enhancing MSME performance: the role of FinTech literacy, financial literacy and competitive pressure’, World Review of Entrepreneurship, Management and Sustainable Development, Vol. 21, No. 4, pp.1–26.
There is a free download of the papers from this first issue.
A new approach to accurately determining the state of charge (SoC) of a lithium-ion battery could improve safety and longevity of electric vehicles, renewable energy systems, and portable electronics, according to research in the International Journal of Critical Infrastructures. The work builds on an approach that not only measures a battery’s remaining charge with exceptional precision but also detects and corrects sensor faults in real time.
The state of charge, or SoC, represents how much energy remains in a battery relative to its full capacity. However, the SoC cannot be measured directly as if it were some digital parameter because lithium batteries are complicated electrochemical systems. The SoC can only be estimated through models and data, and the results change as the battery ages through repeated charge-discharge cycles over its lifetime. Nevertheless, inaccurate estimation can lead to overcharging or deep discharging, conditions that cause degradation and ultimately failure, especially when repeated overheating has occurred.
The standard SoC estimation techniques all have their pros and cons. Empirical methods, such as Coulomb counting, which tracks charge entering and leaving a battery cell, are simple but prone to error from sensor drift and environmental changes. Voltage and impedance-based approaches work only when the battery is not in use. Model-based systems require extensive computation, making them difficult to apply in real-time conditions such as driving or rapid charging.
The new research closes the circuit by providing a hybrid strategy that combines nonlinear physical modelling and advanced estimation algorithms. The system treats sensor faults as part of the model itself, considering them as unknown inputs to be estimated alongside the SoC. This approach allows the battery management system to get an accurate reading even when its sensors are malfunctioning or operating under fluctuating temperature and ageing conditions.
In their laboratory tests, the researchers were able to make usable and accurate estimates of SoC even under stressful conditions. The model’s computational efficiency also makes it suitable for integration into embedded battery management systems used in vehicles and stationary storage units.
Fang, L. (2025) ‘Design of an augmented unknown input estimator for the lithium-ion battery state of charge and sensor fault estimation’, Int. J. Critical Infrastructures, Vol. 21, No. 11, pp.30–54.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Research on interactive audio-visual-oral teaching in college English", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Artificial intelligence-based emotion recognition application of English teaching in smart learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the International Journal of Electronic Marketing and Retailing suggests that confidence in the technology and clarity of information provided by food delivery apps matters more in terms of their loyalty than price or menu choice. The findings offer an important insight that could help the app companies and their associated food suppliers improve their offering in the fast-growing digital food delivery market.
The researchers surveyed 160 food delivery app users and then used statistical modelling to track and trace how expectations influence whether customers keep using a platform and whether they recommend it to others. The team looked at four main factors. First, how easy an app feels to use, which they refer to as effort expectancy. Secondly, how useful it seems, so-called performance expectancy. Thirdly, the quality of information provided by the app. Finally, self-efficacy, a user’s self-belief in their own tech skills, was also taken into consideration.
The results suggest that clear, reliable, well-organised information helps people see an app as simpler to use. In turn, the easier an app feels, the more useful it appears. But, the researchers also found that information quality on its own doesn’t seem to make people think an app performs better. Given that so many people check out apps on social media, and read online reviews or listen to the opinions of friends and relatives, there are additional factors at play.
Confidence, however, makes a big difference. Users who feel comfortable navigating digital platforms tend to view apps as both easy and effective, and they are far more likely to stay loyal and spread the word. In effect, the study suggests that a little digital confidence goes a long way toward keeping customers coming back for more.
Marques, A., Lopes, M. and Santos, C. (2025) ‘How customer expectations drive loyalty to food delivery app brands’, Int. J. Electronic Marketing and Retailing, Vol. 16, No. 7, pp.1–22.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Indicators and characteristics of career visualisation ability based on cloud computing", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following World Review of Entrepreneurship, Management and Sustainable Development article, "Enhancing MSME performance: the role of FinTech literacy, financial literacy and competitive pressure", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Automatic speech recognition based on adaptive parameters technology in English MOOC teaching system", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Application of intelligent sensing and digital teaching mode in physical education teaching in colleges and universities", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "The impact of blockchain big data algorithm technology on the interactive intelligent teaching mode of Chinese language and literature courses", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Human-computer interaction design of intelligent multimedia information technology in online sports teaching platform", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Analysis of English sentiment semantic evolution based on BERT and dynamic word embeddings", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Journalism and communication professional personnel training and precise teaching methods based on artificial intelligence", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Visual translation of English classroom teaching system based on mobile learning", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Multimedia-based evaluation on the intelligent distance education mode of college English", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the Global Business and Economics Review suggests that we could and should be encouraging green shoots to grow in preschool-aged children regarding environmental matters.
The influence of the media on the public understanding of environmental issues reaches far beyond headlines and news reports. Online content, interactive apps, television, and even print outlets are shaping what people know and think about the environment and perhaps more importantly are shaping their behaviour. Environmental awareness, in this context, is not merely familiarity with the facts but shows the connections between knowledge, social norms and personal action. But, little attention has been paid in research to children and one particularly overlooked demographic group, the preschooler, whereas growing greener children should be part of our plan for a sustainable future.
Many preschoolers are exposed to a lot of media content at home, in their nursery schools, in the shopping malls, and beyond. The evidence suggests that we might design media experiences, such as educational television programs, interactive online activities, and even game-based or theatrical content that could be used to cultivate their environmental consciousness from an early age.
We could encourage children to adopt environmentally friendly habits, from conserving water and energy at home to growing into influencing youngsters that change the social norms within their communities. Early exposure is key. Attitudes and behaviour are formed in childhood and generally persist into school age and then into adulthood. If we can encourage interest and engagement early, then our preschoolers might grow up to be lifelong adherents to sustainable practices.
However, studies indicate that simply presenting information is insufficient to foster meaningful engagement. Individuals must grasp both the causes of environmental problems and the range of practical solutions available. Without this context, knowledge rarely translates into action. Media that frames environmental challenges with clarity, providing narrative and visual cues alongside actionable guidance, has the potential to move audiences from passive awareness to active participation. This applies just the same to those preschoolers, although, of course, the detail and depth of that information must be carefully crafted for the audience to have any impact at all.
Children who develop environmental awareness early, often affect wider change as they grow up, influencing their families, their friends, and into the educational setting as they mature and ultimately the workplace.
Petkou, D., Tsiouni, M. and Vitoulis, M. (2025) ‘Formation of environmental consciousness in pre-school children through the media: a typology of influence axes’, Global Business and Economics Review, Vol. 33, Nos. 3/4, pp.282–298.
The following International Journal of Continuing Engineering Education and Life-Long Learning article, "The interrelationship of behavioural, emotional, and cognitive classroom engagement in higher education: understanding the mechanisms of student success", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Web public opinion prediction of public events based on graph convolutional neural networks in big data", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A new study of college students in India has shown that while internet access has become central to academic life, it has also opened the door to troubling forms of unethical or illegal behaviour online, ranging from harassment and hacking to the misuse of institutional networks. The umbrella neologism for this behaviour is cyberdeviance. The results of a survey of some 264 students are discussed in the International Journal of Public Sector Performance Management.
Cyberdeviance, a term used to describe online misconduct, has grown increasingly relevant as higher education embraces digital learning and communication. This study highlights how social and economic pressures are shaping young people’s conduct online, and raises questions about how universities might balance openness with accountability in the digital age.
The study also shows that while most students use campus internet connections for legitimate purposes such as coursework, research, and communication, a notable proportion admitted to activities that cross ethical or legal boundaries. Gaming was identified as the most common non-academic use of institutional networks, while hacking, information theft, and online harassment were reported less frequently.
The findings do suggest that most of the cyberdeviance is not malicious, but reflects broader personal anxieties, such as a fear of unemployment and financial insecurity once one’s education is complete. They also point to some students having the desire to apply their technical knowledge in ways that feel practical, albeit ethically ambiguous. The researchers argue that such motivations reveal blurred lines among a generation attempt to negotiate both digital empowerment and economic uncertainty at the same time.
The researchers point out that few institutions have developed ways to guide their students’ conduct online. As social media, gaming platforms, and data-intensive tools continue to proliferate across campuses, they face mounting difficulties in regulating their use without stifling innovation or academic freedom. But, there remains an urgent need for policy reform to allow a balance to be achieved.
Embedding digital ethics into the university curriculum, strengthening access controls, and cultivating digitally mature learning communities where technical proficiency is matched by moral awareness could allow higher education move ahead without being pulled down by cyberdeviance.
Arumugam, S.K., Ramesh, S. and Anuradha, B. (2025) ‘Cyberdeviance among students – a multidimensional scaling approach’, Int. J. Public Sector Performance Management, Vol. 16, No. 3, pp.286–307.
The following International Journal of Information and Communication Technology article, "Data element perspective: green credit risk assessment using a multi-layer deep neural network", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Siamese-based tennis movement gesture assessment via 3D tracking and spatio-temporal scoring", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "A data compliance sharing algorithm for intelligent connected vehicles empowered by federated learning", is freely available for download as an open access article.
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The following International Journal of Information and Communication Technology article, "A distributed and network-aware resource scheduling scheme for serverless cloud computing", is freely available for download as an open access article.
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A study of the information and technology sector in Kolkata, India, suggests that what keeps female millennial employees motivated and engaged at work has less to do with pay and more to do with how they are treated. Drawing on data from more than five hundred women employed across five major IT firms, the research finds that psychological safety and well-being, rather than salary, are the most powerful determinants of motivation and commitment. The term millennial refers to people born any time from the early 1980s to the mid-1990s.
The research, published in the International Journal of Management Practice, uses self-determination theory to investigate what motivates individuals when three fundamental needs are met. These needs are autonomy (a sense of control over one’s work), competence (feeling capable and effective), and connection (belonging and supportive relationships). The research shows that these needs were best fulfilled not by financial incentives but through work environments that promoted trust, inclusion, and personal growth.
Psychological safety, defined as the assurance that one can express ideas, take risks, or admit mistakes without fear of ridicule or punishment, emerged as the single most influential factor driving motivation among respondents. Women who felt able to voice their opinions freely reported significantly higher engagement levels. The study also highlights the critical role of mental and physical health. Workplaces that were attentive to these matters had stronger commitment from employees and ultimately lower staff turnover.
The research also considered leadership style and job design. These factors also shaped outcomes. Female employees who enjoyed autonomy in structuring their tasks, and who had empathetic or transformational managers, showed markedly greater job satisfaction. The research suggests that such leadership fosters a sense of belonging and encourages innovation, particularly important in the fast-evolving world of IT.
These findings challenge the assumption that pay is the prime mover for women in IT here. Instead, emotional and relational factors weigh more heavily. As such, the implementation of flexible work structures, psychological safety, and well-being considerations might help reverse the attrition experienced by the sector in recent years.
Pahari, S., Pahari, M.P., Behera, C. and Polisetty, A. (2025) ‘Boosting engagement: the motivational drivers of female millennials in Kolkata’s IT hub’, Int. J. Management Practice, Vol. 18, No. 5, pp.445–470.
The following International Journal of Information and Communication Technology article, "Cross-border trade export prediction based on reinforcement learning and multimodal data", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Online dating apps may have something to teach corporate leaders about responsible digital leadership, according to research published in the Global Business and Economics Review. The authors argue that the same kinds of tools millions use to find romance could be adapted as powerful platforms for networking, recruitment, and collaboration. The research connects two unlikely worlds: the ethics of leadership and the psychology of online dating.
The study focuses on what it terms responsible leadership: a model of decision-making that balances financial success with social good. This form of leadership considers the interests of all stakeholders, users, employees, and society at large, rather than homing in on the fiscal bottom-line. It operates across five key dimensions: general, economic, social, political, and environmental. The goal is to cultivate trust and a sense of shared purpose while managing the growing influence of technology in everyday relationships.
The research situates this discussion within the global dating industry, a market worth billions of dollars each year and serving hundreds of millions of users worldwide. These platforms now occupy a central role in the social life of many people. Once seen purely as venues for romantic connection, they have evolved into multifunctional spaces where people form friendships, exchange ideas, and even discuss work. This expansion has introduced new ethical challenges, such as privacy risks, emotional manipulation, and the uncertainty that comes with meeting strangers in virtual settings.
The study asks how leadership might manage this kind of uncertainty while encouraging authenticity. In digital spaces, people interact through carefully constructed profiles and selective disclosures. Without the cues of face-to-face communication, users must interpret limited information and make judgements about trust and sincerity. Responsible leadership, the researchers argue, involves designing systems that make these interactions safer and more transparent, while preserving the users’ freedom to experiment and express themselves.
Interviews with 250 dating app users reveal that many people adapt their online selves, sometimes exaggerating or reimagining aspects of their identity. Rather than treating this behaviour purely as deception, the study interprets it as a form of imaginative self-representation, a way of exploring alternative versions of the self. Digital life, in this sense, becomes a space where creativity plays a role in how people learn to relate to one another.
This interpretation carries implications beyond dating. As remote work and online collaboration become increasingly common, the same platforms once used for romantic encounters are now being used to network, recruit, and share expertise. The boundary between personal and professional life is becoming less distinct, raising questions about how to maintain privacy, trust, and ethical conduct in these hybrid environments.
The study proposes that leaders of digital platforms must develop strategic intelligence, which is a combination of analytical ability, foresight, and empathy. This approach recognises that online interaction always involves some degree of uncertainty, if not a world of pure imagination, but that uncertainty can be productive. It can foster innovation, openness, and understanding, if handled with care.
Schinzel, U. (2025) ‘Online dating platforms – and their link to responsible leadership and uncertainty avoidance – the key impact of imagination‘, Global Business and Economics Review, Vol. 33, Nos. 3/4, pp.321-338.
The following International Journal of Information and Communication Technology article, "Cross-modal Chinese text representation enhancement for multimodal sentiment analysis", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Causality mining for historical events based on knowledge graphs", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "AI-POA dual-engine framework: enhancing English speaking teaching through multimodal assessment", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "STIRS: cyber-physical trust integration for sustainable resource sharing in IoT-enabled cold chains", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Data-centric analytics for ideological sentiment monitoring: fusion of features with optimised attention mechanisms", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Mask-embedded transformer for English text recognition and correction", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business and Globalisation article, "The role of organisational culture and digital leadership in enhancing employee development skills during digital transformation: mediating role of technology readiness", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Preparedness, rather than technology, is what will drive success in digital transformation, according to research in the International Journal of Business and Globalisation. The study surveyed 200 professionals involved in digital change initiatives and found that that technological progress delivers value only when people are ready and able to work with it.
Digital transformation is defined as the integration of information and communication technologies (ICT) across all areas of business. It has become a strategic imperative for organisations seeking to remain competitive. Yet, this research makes clear that the human factor, personal readiness and capability need to develop alongside the technological innovations for the transformation to be complete. The researchers identify three key factors shaping this process: digital leadership, organisational culture, and technology readiness.
Technology readiness can refer not only to the psychological and practical preparedness of individuals or organisations to adopt and use new technologies but encompasses technical competence and confidence. The motivation and openness to change must also be present.
The research also points out that technology readiness is pivotal in leadership, culture, and employee growth. Among these three factors, organisational culture emerges as the most powerful driver of readiness. Where the workplace encourages experimentation, collaboration, and innovation, employees are far more likely to engage positively with technological change. A culture that tolerates some degree of failure, rewards curiosity, and values can underpin adaptability across a company.
The researchers emphasise that workers who feel equipped and confident to use technology are more adept at problem-solving, more adaptable to new challenges, and more capable of continuous learning. These can be seen as the very traits that define resilience in the digital economy. The team also points out that their findings might equally be applicable across society. As national economies become more dependent on digital infrastructure, workforce readiness emerges as a societal issue, the findings suggest. Policymakers and educators might look to these findings for insight into how training programmes might be tailored to strengthen competitiveness at scale.
Basalamah, M.S.A. and Basalamah, J. (2025) ‘The role of organisational culture and digital leadership in enhancing employee development skills during digital transformation: mediating role of technology readiness’, Int. J. Business and Globalisation, Vol. 41, No. 5, pp.1–17.
The following International Journal of Business Governance and Ethics article, "To conform or to perform - the dilemma of director's attributes in agricultural cooperatives", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Critical Infrastructures article, "Design of an augmented unknown input estimator for the lithium-ion battery state of charge and sensor fault estimation", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Critical Infrastructures article, "Precise state-of-charge estimation for LIBs: a cutting-edge nonlinear model approach with enhanced robustness and reliability", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Excellence article, "Driving global success: entrepreneurialness and strategic competency of ICT-born global firms in Sri Lanka", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
It is often asked facetiously that if one has nothing to hide, then why worry about privacy. A sharp retort might be to ask whether such people would be content to have no blind at the bathroom window. We all reserve the right to privacy in our lives. At a time when books are once again being blacklisted, banned, and burned, minority voices gagged, and conflicts multiply around the world with righteous certainties on all sides, the question of privacy is once again high on the agenda.
Against this backdrop, the Tor Browser brings new complexities to the debate and to the field of digital forensics. Tor, short for “The Onion Router” is a web browser designed specifically to anonymise a user’s internet activity. It essentially routes traffic through a layered network of encrypted relays. It can be coupled with a virtual private network (VPN), but even without it, Tor can conceal a user’s internet protocol (IP) address, their whereabouts, and the trail of sites they have visited.
The Tor Browser makes it almost impossible for conventional tracking tools to link online actions to a specific individual. This makes it an important tool for those people who are being banned, gagged, and censored. It can be a critical part of working for journalists reporting under authoritarian regimes, political dissidents, whistleblowers, and vulnerable groups. It allows users to reduce the risk of surveillance, persecution, and retaliation.
Unfortunately, as with every tool since the dawn of humanity from the hand axe onwards, it can be used for illicit purposes. As such, cybercriminals have embraced Tor. It allows access to the so-called dark web, an unindexed part of the internet that hosts both lawful and unlawful content. As such, investigators attempting to trace illegal activity on the dark web now face a technological stalemate. Traditional forensic tools, designed with everyday web browsers in mind, are wholly ineffective when faced with the Tor Browser’s obfuscating characteristics.
Research in the International Journal of Electronic Security and Digital Forensics, introduces “DarkExtract”, an open-source forensic tool aimed at bridging the gap between the needs of security and the demands of accountability.
DarkExtract can find host-based artefacts, fragments of data left behind on a user’s device even after a purportedly anonymous browsing session ends. Such data fragments, found in computer memory, virtual caches, and even the operating system’s files, could offer useful leads, providing sufficient evidence to reconstruct user activity and support a broader criminal investigation.
Of course, the success of a tool for countering other tools that protect a person’s privacy are important in addressing criminality. But, given the existence of rogue regimes and bad actors, they also raise the issue of that bathroom blind and the privacy of innocent users hoping to hide their decency, as it were.
Mandela, N., Mahmoud, A.A.S., Agrawal, A.K. and Mistry, N.R. (2025) ‘DarkExtract: tool for extracting and analysing Tor Browser host-based activities’, Int. J. Electronic Security and Digital Forensics, Vol. 17, No. 5, pp.563–581.
The following International Journal of Business Continuity and Risk Management article, "Enhancing resilience in public sector business continuity: lessons from the Western Cape Government, South Africa", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Information Systems article, "Tourism enterprise competitiveness model: a study in Dong Nai, Binh Thuan and Khanh Hoa, Vietnam - literature review", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Computational Systems Engineering article, "Application of electronic information technology based on optical sensors in intelligent transportation systems", is freely available for download as an open access article.
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Chatbots based on so-called artificial intelligence (AI) are being used increasingly to handle interactions between customers and companies online. In Shanghai’s fast-growing e-commerce pharmacy sector, they are, according to research in the International Journal of Business Innovation and Research, almost essential to addressing long-standing customer service issues.
As residents of China’s most populous city turn to digital platforms for their healthcare needs, chatbots are being used to provide clarity, efficiency, and personalisation in an area where trust and information are critical.
The study involved surveying 400 Shanghai-based internet users with experience using pharmacy chatbots. The results of the survey offer an empirical analysis of how this technology affects customer satisfaction in the online pharmaceutical context. The researchers found that chatbots significantly improved the user experience by delivering real-time, tailored support. In particular, chatbots were able to improve customer service engagement to the point where customers felt that their needs were understood and met. This factor, the study shows, is an important mediator between the use of such tools and increased customer satisfaction.
For online pharmacies, health and medication safety are critical. The new, evolving technology can offer responsive and trustworthy communication where a direct human interaction is not possible. With urban populations facing overburdened healthcare systems and limited access to in-person consultations, online pharmacies are filling the gap and the integration of chatbots into their systems offers a scalable solution to the pressures.
Chatbots can provide 24/7 service, recommend medications based on purchase history, and flag potentially unsafe drug combinations. These features are particularly valuable in a city like Shanghai, where population density and time constraints often limit access to conventional pharmacy services. However, the researchers caution that implementation must be accompanied by careful design. Transparency in how chatbots handle user data, the limits on their advisory roles, and mechanisms for customer feedback are all essential to maintain user trust.
Jing, Z. and Wongkumchai, T. (2025) ‘The role of AI-powered chatbots on improving customer experience in e-commerce: a case study of pharmaceutical organisations in Shanghai’, Int. J. Business Innovation and Research, Vol. 38, No. 5, pp.23–48.
The following World Review of Entrepreneurship, Management and Sustainable Development article, "Sustainable finance and social development: do institutional quality and ICT infrastructure matter?", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Business Innovation and Research article, "Green process innovation and sustainable performance: an exploratory study in Bat Trang ceramic craft village", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the International Journal of Electronic Security and Digital Forensics has looked at the evolving landscape of cybersecurity and highlights the five biggest threats. The work reveals just how vulnerable different sectors and technologies are and how there is an urgent need to develop for more sophisticated tools to defend against these threats.
Cybersecurity, broadly defined, is the practice of protecting computer systems, networks, and data from malicious attacks. These attacks, ranging from simple phishing scams to coordinated botnet, ransomware operations, are no longer isolated events. They have become a daily concern for businesses, governments, and individuals alike. The consequences of such breaches can be severe: loss of sensitive data, operational paralysis, reputational damage, and in some recent high-profile cases, financial collapse.
Cybersecurity offers tools such as firewalls to act as gatekeepers between secure and untrusted systems, encryption, which scrambles data into unreadable formats to prevent unauthorized access, and anti-virus and anti-malware software to protect computers and files from unauthorized access.
However, the effectiveness of cybersecurity often depends as much on human behaviour as technological resilience. Many attacks exploit what security professionals call the human factor, gullibility, ignorance, or simple oversight. A well-crafted phishing email can trick an employee into divulging passwords or downloading malware, bypassing even the most advanced cybersecurity system.
The range of cyber threats continues to expand. Ransomware, in which attackers encrypt a user’s data and demand payment to unlock it, has grown increasingly common. Companies, individuals, local government, and hospitals have been affected. The damage can be swift and total, bringing operations to a halt.
Another major concern lies in the proliferation of Internet of Things (IoT) devices, everything from smart thermostats to wearable fitness trackers. Hackers can exploit security loopholes in such devices to steal data or co-opt the devices into larger networks, botnets, used to launch massive cyberattacks.
Cloud computing has also introduced new vulnerabilities. As more organisations shift data storage and processing to remote servers, misconfigured settings, poor access controls, and lapses in encryption have opened backdoors for attackers.
Cybersecurity experts advocate a multilayered approach. Advanced firewalls, stronger user authentication, constant monitoring, and regular audits are now considered standard. For IoT, manufacturers and users alike must implement strict access policies and use end-to-end encryption. In cloud systems, anomaly detection software can flag suspicious behaviour early.
More importantly though, experts stress the need for cultural and institutional change. Cybersecurity is not wholly a technical challenge, it is a societal one. Defence against cyber threats requires cooperation between private companies, governments, and international institutions. Legal frameworks must evolve with the technology. Artificial intelligence is already being deployed to detect threats in real time, and training programmes are helping users spot fraudulent messages before they click. But, the criminals are also using AI to exploit the loopholes and open the backdoors.
Nevertheless, the message is clear: digital infrastructure underpins modern life from commerce to healthcare, cybersecurity can no longer be treated as an afterthought, it must be in the vanguard.
Ibrar, M., Khan, M.F., Yu, J., Li, H., Zhang, W., Yin, S., Karim, S. and Khan, K. (2025) ‘The shifting landscape: a comprehensive examination of the top five emerging cybersecurity threats’, Int. J. Electronic Security and Digital Forensics, Vol. 17, No. 5, pp.593–603.
The following International Journal of Business Innovation and Research article, "The role of AI-powered chatbots on improving customer experience in e-commerce: a case study of pharmaceutical organisations in Shanghai", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research in the International Journal of Productivity and Quality Management has examined the educational challenges faced by Indonesia’s remote regions through a systematic review of the literature. The findings highlight how psychological factors, motivation and emotional intelligence, specifically, can improve teacher competence. The work focused on the Tojo Una-Una district of Central Sulawesi and shows how teacher development strategies might be more effectively tailored for geographically and socially isolated areas such as this.
In remote regions, the barriers to quality education are multifaceted. Teachers frequently have to contend with inadequate access to teaching materials, minimal opportunities for professional development, and a degree of professional and social isolation that is not commonly encountered in urban settings. Such challenges not only affect the performance but have a direct impact on what their students can achieve and so the broader development of the community.
In this context, the team has homed in on work motivation and emotional intelligence. Work motivation is defined as one’s drive to strive for excellence in a professional role. Motivated teachers tend to be more committed, proactive, and resilient in addressing challenges and adversity. Emotional intelligence refers to one’s capacity to recognise, understand, and manage one’s emotions and those of others. In the classroom, this translates into teachers who can handle stress more effectively, maintain positive relationships with students and colleagues, and foster a more supportive and empathetic learning environment.
Earlier studies have focused tended to focus on urban education, by turning to remote education and resource-poor settings, this work has linked work motivation and emotional intelligence in remote areas. Moreover, it has found that these two traits reinforce each other and so encouraging the development of each might improving teaching quality in a synergistic way, which could have implications for education policy in remote areas.
Idris, I., Bahasoan, A.N. and Wahdaniah, W. (2025) ‘How does work motivation and emotional intelligence affect teacher competence in remote areas? A systematic review of the literature’, Int. J. Productivity and Quality Management, Vol. 46, No. 5, pp.1–44.
The following International Journal of Productivity and Quality Management article, "How does work motivation and emotional intelligence affect teacher competence in remote areas? A systematic review of the literature", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
In the heart of Vietnam’s Red River Delta, the village of Bat Trang has been renowned for centuries for its distinctive ceramics. But, it has a modern problem – environmental caused by degradation driven by outdated, high-emission production methods. However, a study in the International Journal of Business Innovation and Research has found that this traditional craft hub is beginning to reshape its future through green process innovation. It is adopting cleaner technologies and practices that not only reduce pollution, but also improve economic and social outcomes.
The research, based on interviews with ten local business owners in Bat Trang, examines how and why producers are shifting towards sustainable practices. It comes at a time when Vietnam is confronting the environmental consequences of rapid industrialisation and seeking a path toward a green economy.
The research shows how many producers have abandoned traditional coal-fired kilns in favour of cleaner energy sources such as liquefied petroleum gas and electricity. These substitutions have led to a marked reduction in greenhouse gas emissions and waste. However, the benefits are not solely environmental. The research finds that the transition has also brought measurable gains in efficiency, product quality, and worker health. Together, these improvements align with what sustainability experts refer to as the triple bottom line; a framework that evaluates performance in terms of environmental, economic, and social outcomes.
Interviewees cited growing market demand for environmentally responsible products, regulatory pressures, technological advancements, and increasing awareness of ethical production standards. Social and cultural expectations are shifting, too, with the younger generation expressing being more committed to sustainability.
There are implications for policymakers. The transformation of Bat Trang suggests a new model for traditional industries that might be modernised without erasing their cultural identity. There is now a need for targeted support, financial incentives, better infrastructure, and improved access to renewable energy technologies to take this traditional industry forward.
Nguyen, T.Q., Nguyen, H.T. and Hoang, T.T. (2025) ‘Green process innovation and sustainable performance: an exploratory study in Bat Trang ceramic craft village’, Int. J. Business Innovation and Research, Vol. 38, No. 5, pp.1–22.
Rumours circulate rapidly on social media, it can have serious detrimental effects on the individuals, groups or companies named. Those spreading and sharing the rumours rarely worry about their veracity, it seems. This tangible societal challenge has implications spanning public opinion, social stability, and financial markets.
Research in the International Journal of Internet Manufacturing and Services has looked in details at the effects of uncertain truths, deceived wisdom, conspiracy theories, and fake news and finds that conventional moderation strategies are alarmingly inadequate. This inadequacy can lead to the crash of stock markets, companies failing, and the ruination of individuals. It can even kill when it’s medical fake news that goes viral.
Young users, particularly those under 26, who are often the most active on social media and the most easily influenced, are especially prone to sharing unverified claims, so amplifying the societal impact of such unchallenged disinformation and misinformation.
The current research offers a computational model designed to automatically detect rumours on social media, with a particular focus on the well-known microblogging platforms. Previous efforts to automate this process often relied on conventional machine learning techniques or convolutional neural networks (CNNs) with all their limitations, so the new approach instead builds on long short-term memory (LSTM) networks. LSTMs are a type of deep learning algorithm specifically designed to capture temporal relationships in sequential data. In practical terms, LSTMs can analyse how information evolves across posts over time, rather than treating each post as an isolated unit.
When tested on a standard dataset from a well-known microblogging platform, the model demonstrated an accuracy of 99.86%. This, the team says, is a significant improvement over earlier methods. The approach could enable near-instantaneous identification of misleading or unverified content. This would allow the platforms to mitigate the propagation of flagged misinformation.
Mallick, C., Mishra, S., Das, S. and Paikaray, B.K. (2025) ‘A deep learning model with effective tokenisation and feature extraction for detection of rumours in online social networks’, Int. J. Internet Manufacturing and Services, Vol. 11, No. 2, pp.93–113.
The following International Journal of Hydromechatronics article, "Remaining useful life prediction for milling tool based on an improved inverse Gaussian process", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Shipping and Transport Logistics article, "Ownership reform in action: does gratuitous transfer boost productivity in China's transportation enterprises?", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A review in the International Journal of Smart Technology and Learning discusses the research literature on social media surveillance. It highlights how the practice has become a central feature of the digital era and raises pressing ethical, political, and social questions.
Social media surveillance, defined as the monitoring and analysis of individuals’ online activity by governments, corporations, and other organisations, exploits the large volumes of data generated daily across social media platforms. It is often justified in terms of national security and law enforcement, epidemiological tracking, but is also used in advertising and market research, and for other even more nefarious purposes. The widespread deployment of social media surveillance has implications for privacy, autonomy, and freedom of expression.
The review used systematic bibliometric analysis to map and evaluate the research literature and so trace how academic discussion on social media surveillance has evolved in recent years. By following the research trends, thematic patterns, and collaborations across fields, the review shows how research on surveillance is inherently multidisciplinary. It spans computer science, sociology, law, political science, ethics, and communication studies, underscoring that surveillance is not merely a technical matter but a socio-technical phenomenon.
A key insight from the study is that the scope of surveillance extends beyond mere technical capacity. It engages ethical considerations about balancing collective security with individual rights and highlights the commercialization of personal data. One recurring concern is algorithmic bias: automated systems used in surveillance can perpetuate social inequalities, producing outcomes that disadvantage certain groups.
The review also demonstrates that social media surveillance operates on a global scale. Data flows routinely across borders, and monitoring practices often involve cooperation between states and multinational corporations. As a result, issues of data protection, ethical oversight, and regulatory development cannot be resolved within national boundaries alone, demanding coordinated international responses.
Islam, M.N. (2025) ‘Unveiling the social media surveillance research: themes, ethics and global implications’, Int. J. Smart Technology and Learning, Vol. 4, No. 3, pp.203–228.
The following International Journal of Information and Communication Technology article, "E-commerce consumer behaviour prediction through the integration of collaborative filtering and graph neural networks", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "A dynamic optimisation method for personalised learning paths integrated with knowledge graphs", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "A distributed two-stage clustering method based on node sampling", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following International Journal of Information and Communication Technology article, "Intelligent classification of oil painting style based on dynamic fuzzy neural network", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
In the popular imagine, urban air mobility, also known as advanced air mobility, has long been about flying cars whipping people back and forth across cityscapes. However, the more immediate and realistic vision of emerging aviation technology is in logistics. Drones, formally known as unmanned aerial vehicles (UAVs), are already being used to deliver goods, often in what is known as last-mile delivery; the most challenging and often the most costly final link in the supply chain.
Writing in the International Journal of Shipping and Transport Logistics, a team of logistics specialists has looked at how businesses might choose to use UAVs. The research identified twelve criteria that might allow UAV logistics to really take flight. Some of these are technological in nature and others operational.
Technical considerations encompass the aircraft’s safety record, battery life, and efficiency, flight range, speed, levels of automation, and capacity for vertical take-off and landing in restricted environments. Operational concerns include cost, the security of transported goods, the use of onboard cameras, payload capacity, integration with tracking systems, and the safe handling of hazardous materials.
The researchers weighed up these competing demands using a mathematical decision-making method. This allowed them to assign an importance “weight” to each factor and then rank them all. The results highlight a clear hierarchy of concerns. Safety emerged as the most important criterion, reflecting aviation’s historic emphasis on risk minimisation. Cargo security is a close second, along with cost, flight range, and battery performance. Surprisingly, attributes often associated with efficiency, such as speed and payload size, were found to be of less importance. For logistics operators, the study suggests, safety, reliability and sustainability outweigh performance.
Such insights have implications for the design of future UAVs as well as for how logistics companies might use them. The bigger global delivery companies have already tested UAVs for short-haul deliveries. Manufacturers predict that UAVs could half delivery times and reduce costs by as much as 50 percent. We might see hundreds of millions of UAV deliveries each year by the 2030s.
Mercan, Y., Yavaş, V. and Can, D. (2025) ‘Evaluation of factors affecting UAV selection in urban air logistics’, Int. J. Shipping and Transport Logistics, Vol. 21, No. 3, pp.317–344.
