The following International Journal of Public Law and Policy article, "The development of disaster management governance in Indonesia: a legal and regulatory review", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The following Journal of Business and Management article, "Mapping the nexus: a bibliometric review of psychological distress and leadership research", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A study of 500 Thai retailers has found that businesses with stronger big data analytics capabilities tend to be better at identifying market needs, innovating, and executing effective marketing strategies. Moreover, large retailers report higher capability levels than smaller firms, according to research in the International Journal of Services and Operations Management.
The research looked at how some 500 retailers turned customer, transaction, and sales-channel data into practical business capabilities. The findings suggest that the adoption of digital technology is not sufficient to improve outcomes, companies need big data analytics capability to make the most of that technology. Indeed, the research shows that having the ability to process and interpret large volumes of information to make better decisions was closely tied to market orientation, customer needs, and changing market conditions.
The team explains that their findings highlight the importance of integrating data analysis into everyday operations. This is particularly important as companies have to coordinate bricks-and-mortar outlets with their online presence. Better integration, the team suggests, could help businesses adapt services and respond more consistently to changing demand.
The gap between large and smaller retailers, however, raises questions about unequal access to digital expertise, technology investment, and managerial resources. Smaller and medium-sized enterprises (SMEs) perhaps need targeted support to develop the skills and organisational routines required to turn data into useful decisions.
Supapon, S. and Sukhawatthanakun, K. (2026) ‘Data-driven retail service operations: big data analytics capability, market orientation, innovation and marketing capabilities in Thailand’s retail sector’, Int. J. Services and Operations Management, Vol. 55, No. 5, pp.1–23.
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Researchers have developed an automated system for detecting fake news that achieved accuracy rates above 98% in tests on two datasets; in other words missing just one or two fake news items in every 100. They provide details of their approach in the International Journal of Information and Computer Security.
The new system uses a transformer encoder, an artificial intelligence (AI) model that identifies relationships between words and their context. This is combined with a deer-hunting optimisation algorithm (DHOA), a computational technique for finding effective model settings, based on modelling the way in which human hunters track and pursue prey. The researchers removed web addresses, punctuation, and common, or “stop”, words before applying their analysis to the text. The DHOA component automatically fine-tunes the model's settings rather it requiring manual selection and calibration.
Automated detection could accelerate manual fact-checking, which is often expensive and time-consuming, allowing social media platforms to screen out misleading claims quickly to avoid their rapid spread.
The next step will be to test the system on real-world social media content to see whether it can distinguish between deceptive material closely resembling legitimate reporting. As it stands, the approach is limited to text, rather than checking for the manipulation of images, deepfake videos or inconsistencies between text and visual evidence. Future work might explore how those different media types might be processed and analysed as well as looking for relationships between content and the users who post it as important clues as to whether a given item is fake news or not.
Jonnala, Y.D. and Devi, J.S. (2026) ‘Automatic fake news detection using an optimised transformer with deer hunting optimisation algorithm’, Int. J. Information and Computer Security, Vol. 31, No. 1, pp.24–48.
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The following International Journal of Environment and Pollution article, "Study on detection method for harmful chemical residues in regenerated cellulose food packaging materials", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A study of electronic banking users has found that cybersecurity depends not only on knowledge of digital threats but also on attitudes, memory, and the user’s relationship with technology. Details are published in the International Journal of Information and Computer Security. The researchers looked at how customers translate cybersecurity knowledge into behaviour. The work addresses a gap in this area of research, which has previously focused largely on employees rather than customers.
The team used structural equation modelling, a statistical technique for testing relationships between variables, to analyse survey data from 772 electronic banking users in India. The survey asked questions about the users’s extended knowledge, attitude, and behaviour. The resulting framework shows what people know and what they believe influences their actions.
Perhaps obviously, the team found that a bank’s efforts to educate customers with regard to cybersecurity as well as the initiatives of customers themselves, help build overall knowledge. Customers with a positive attitude towards security, who can recall relevant information and have greater knowledge of the risks and how to avoid them, were like to exhibit safer online behaviour.
However, the more technically minded a customer, the more likely there were to have a positive attitude towards their banking security, but the more likely they were to take risks, assuming their familiarity and confidence would protect them from scams and malicious third parties.
Prasanna, S., Mariappan, V., Pradeepa, S.P.N., Mani, R. and Saravanan, S. (2026) ‘Cyber-savvy or cyber-sloppy? Exploring Indian e-banking users’ security behaviour’, Int. J. Information and Computer Security, Vol. 31, No. 1, pp.1–23.
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The following International Journal of Applied Management Science article, "Creative implementation and technology orientation: associations with perceived performance in Saudi dental practices", 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 Logistics Systems and Management article, "Criteria for success in end-of-life tire recycling supply chains", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
An artificial intelligence (AI) model can score English essays with improved accuracy across different writing topics, according to work published in the International Journal of Continuing Engineering Education and Life-Long Learning. The tool could help schools assess student work more efficiently while reducing inconsistencies in marking.
The system, known as DTS-Score, combines several machine-learning techniques to analyse the meaning and structure of essays, including their paragraph organisation. In tests, it achieved a weighted kappa coefficient of 0.866. This is a measure of agreement between scoring outcomes, where 1.000 would represent a perfect output. A further development might allow the accuracy of the system to be compared with marking undertaken by teachers themselves.
The researchers developed the model to address a common problem in automated essay assessment. That is, systems trained on one essay topic may perform less reliably when evaluating writing on another subject. Their approach uses transfer learning, a technique that allows a model to apply knowledge acquired from one task to a different but related one. In large educational establishments, such a system could help process substantial volumes of student essays, flagging those that appear to stray from the assigned topic and allowing teachers to focus their attention on writing that may require closer scrutiny.
Chen, H. (2026) ‘Intelligent English composition scoring method based on transfer paragraph segmentation and Pearson detection’, Int. J. Continuing Engineering Education and Life-Long Learning, Vol. 36, No. 13, pp.1–25.
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The following Global Business and Economics Review article, "Operational risk management and the credibility of ESG disclosures: a critical analysis", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Retail research has changed during the last couple of decades, according to an analysis of almost 5200 papers covering business practices, consumer behaviour, and technology. The study, published in the International Journal of Electronic Marketing and Retailing, considered papers from the four leading specialist journals in this area.
The team used thematic analysis, a method for identifying recurring patterns in written material, alongside manual coding to discern the changes in research topics, theories, and methods that have taken place over the years. They identified five major phases that saw change in the research done: operations, digital and experiential retail; consumer behaviour and sector specialisation; optimisation and service integration; and social media. What emerges from their analysis shows how changing external stimuli, such as store environments or digital interfaces, affect consumers psychologically and influence their buying behaviour, and how research has tracked those changes.
The findings highlight the growing influence of e-commerce, data analytics, and social media on retail scholarship itself. They reveal a persistent issue in this research sector concerning how studies are dispersed across disciplines including marketing, economics, geography and management, despite the economic importance of retail and the development of specialist academic programmes to study it.
The authors argue that a clearer understanding of the field’s development could help educational establishments shape their curricula and executive training in this field. It would also help researchers and businesses to understand and respond to emerging challenges, including artificial intelligence and changing patterns of consumer engagement.
Hamam, M., Fares, O.H. and Jacobson, J. (2026) ‘The evolution of retail scholarship: Looking back to move forward’, Int. J. Electronic Marketing and Retailing, Vol. 18, No. 6, pp.1–26.
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The following International Journal of Computational Science and Engineering article, "Design and implementation of an experimental big data management platform architecture integrating LSH and columnar storage 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 Electronic Marketing and Retailing article, "The evolution of retail scholarship: looking back to move forward", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Researchers have developed two algorithms to help fleets of drones inspect electricity infrastructure more efficiently, potentially cutting costs and reducing risks to human workers. They provide details in the International Journal of Systems, Control and Communications.
The work offers solutions to two inspection tasks. First, the checking of individual components on electricity pylons, such as insulators, and secondly, surveying transmission lines for hazards. If unmanned aerial vehicles (UAVs), drones, are to be used for these two tasks, then multiple drones operating from a single base to cover routes would be optimal, but there is a need to minimise total flight distance.
For component inspections, the researchers developed an improved genetic algorithm. This is a computational method inspired by natural selection that progressively refines possible solutions. It combines a technique called 2-opt, which improves routes by reversing sections of a flight path, with an adaptive mutation rate. Mutations introduce changes into the possible solutions, which helps the algorithm to avoid poor routes.
For transmission-line inspections, the team developed a separate adaptive genetic algorithm to allocate line segments among drones and minimise unnecessary travel.
Tests on maps of different sizes compared its performance with a conventional genetic algorithm. These showed improvements in solution quality and efficiency over earlier approaches. Indeed, the new methods also produced more stable results for component inspections and reduced flight distances while optimising the number of drones deployed for line surveys.
Li, H., Che, C., Duan, C., Zhang, X. and Sun, L. (2026) ‘Multi-UAV path planning methodology for dual-task power inspection scenarios based on genetic algorithm’, Int. J. Systems, Control and Communications, Vol. 17, No. 9, pp.1–27.
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Frequent use of short video apps is associated with lower satisfaction with one’s quality of life, particularly over perceptions of the wealth gap, according to research in the International Journal of Mobile Communications, which examined the effects of digital media consumption.
The researchers analysed data from 7257 participants aged 16 to 69 in the China Family Panel Studies. They found that satisfaction with wealth inequality was more affected than other aspects of life quality. They also showed that the strongest association was among urban residents, people under 45, and those with at least a high school education.
Two possible explanations emerge. First, declining social trust and secondly, increased negative emotions. The findings have implications for public understanding in China, and perhaps elsewhere, where short video apps are a major source of information and entertainment. In China, 95.5 per cent of internet users use such apps, according to data from the National Radio and Television Administration Development Research Centre.
It is worth noting that short video apps do facilitate wider discussion of social issues. However, it is also well-known that their recommendation algorithms tailor content to one’s viewing habits and can lead to what is known as the bubble, or echo chamber, effect. This may reinforce existing beliefs, and with repetition or unreliable material, distort perceptions of economic and social reality.
The researchers highlight the need to understand how digital media consumption shapes public attitudes towards inequality and living conditions. Moreover, they suggest that there is a need for greater attention to be paid to content quality and information sources.
Tian, W. and Wang, X. (2026) ‘Does using short video apps reduce people’s satisfaction with life quality? Evidence from China’, Int. J. Mobile Communications, Vol. 28, No. 4, pp.400–418.
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An analytical method could help high-level cricket franchises make more informed decisions about player recruitment, retention, and team selection, according to research in the International Journal of Services and Operations Management. The approach uses data envelopment analysis (DEA) to compare efficiency using multiple inputs and outputs. In the world of cricket, this means assessing players against their peers rather than relying on individual statistics.
The research used publicly available data to evaluate the playing of batters and bowlers, with a separate model applied to each group. Metrics included balls faced, runs scored, runs conceded, and wickets taken. The approach offers an effective assessment of players compared to baseline performance in the sport. Moreover, it can identify high performers whose value might be overlooked by conventional assessments.
While the instincts of coaches, managers, and others involved in selecting players will always play the biggest part in the process, having the statistics to back a controversial decision could improve the process while giving those making the decisions a factual basis to defend their decision.
Ultimately, such an approach could be used more broadly in cricket and other sports, helping organisations distinguish measurable productivity from reputation. This should bring greater transparency to decisions about investment, performance improvement, and the allocation of resources.
Bordoloi, S. and Sirigiri, V.S.P. (2026) 'Performance evaluation of cricket players in Indian Premier League using DEA', Int. J. Services and Operations Management, Vol. 55, No. 6, pp.1-36.
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Research in the International Journal of Continuing Engineering Education and Life-Long Learning suggests that artificial intelligence (AI) is increasingly stepping beyond technical automation to train engineers in ethical decision-making. This, the work implies, could address a critical gap in the Industry 4.0 era.
According to new research, an AI-driven framework utilising natural language processing (NLP), knowledge graphs, and deep reinforcement learning can tailor ethics and professional competence training for individual engineers. By analysing engineering case studies against ethical guidelines and tracking user progress through dynamic learner profiles, the system might deliver personalised, adaptive teaching.
The researchers' tests on public datasets showed that their system worked better than traditional lecture-based methods and could predict professional competence and increase interactive training substantially.
Engineering education has in the past involved conventional lectures. That approach to teaching struggles to adapt to individual professional contexts or to incorporate ethical reasoning. Educational technology courses do exist online, but even they are typically optimised for simple performance metrics rather than measuring the true multifaceted value of what is taught and ultimately learned.
The work has implications for corporate compliance but also goes further. Automated and digitalised manufacturing systems are changing industries around the world. As such, the decisions engineers make have international societal and safety risks associated with them. By demonstrating that computers can model complex educational principles and foster a unity of knowledge and action, the team has shown that these computational tools are evolving from passive delivery platforms into what we might think of as active partners in professional development, especially when it comes to ethical and moral considerations.
Cai, S. and Lei, Y. (2026) ‘AI-powered precision training pathways for engineering ethics and professional competence in Industry 4.0’, Int. J. Continuing Engineering Education and Life-Long Learning, Vol. 36, No. 12, pp.4–28.
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Research in the International Journal of Business Innovation and Research suggests that African economies need to move beyond fragmented development strategies. This might be done by uniting digital technology, start-up networks, resource processing, and cross-sector partnerships into a single societal innovation ecosystem, the researchers explain.
The team proposes a conceptual framework designed to tackle persistent structural hurdles, including youth unemployment, energy poverty, and educational deficits. Such a framework might work by extending traditional innovation theories beyond corporate profits by putting more emphasis on broad social progress and inclusive growth.
Historically, innovation frameworks have been tailored to advanced Western economies. These prioritise company-level profits over poverty reduction. In contrast, the new framework discussed in IJBIR brings together various concepts and approaches, including digital technologies, entrepreneurial networks, and public-private collaboration, to help in the development of the domestic processing of raw critical minerals into higher-value products such as batteries prior to export. The approach circumvents the problems that arise when isolated initiatives, such as localized technology hubs or raw extraction projects, fail to generate widespread prosperity despite the potential for profits.
Demand for Africa's minerals is on the rise, partly thanks to the ongoing green energy transition. This new framework offers a strategic blueprint for resource-rich developing nations. Rather than remaining exporters of raw materials, such countries can build high-value domestic supply chains, boost employment, and leapfrog outdated industrial models.
Boikanyo, D.H. (2026) ‘Innovation for societal transformation in Africa: a strategic framework for inclusive growth’, Int. J. Business Innovation and Research, Vol. 41, No. 5, pp.1–26.
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A study of almost 1000 research papers in the field of digital finance has mapped out how technology, investor behaviour, and financial-market risk are connected. The work identified three distinct foundations rather than a single framework with implications for understanding how psychological factors influence financial decisions as well as how to develop viable algorithms that provide automated investment guidance.
The team used standard bibliometric analysis to find patterns and relationships across the literature published in this niche from 1991 to 2025. They carried out co-citation analysis to identify research that is frequently cited together, as well as keyword analysis to trace connections between research areas. Details are reported in the International Journal of Business and Emerging Markets.
Four main research streams were found: FinTech (financial technology) and investor behaviour, artificial-intelligence-driven investment decisions, market prediction, and automated trading and risk management. FinTech, market volatility and machine learning were identified as established “motor themes”, meaning areas that are both prominent and strongly connected to other research.
The researchers argue that their mapping of the literature has practical implications for developers, financial institutions, and regulators. Automated investment services may require clearer risk information and greater transparency about how recommendations are produced. Regulators could also pay closer attention to model risk and common signals used in automated trading.
Van Nguyen, N., Phan, H.T. and Tran, L.T. (2026) ‘The evolution of the digital finance literature on financial behaviour and market risk’, Int. J. Business and Emerging Markets, Vol. 18, No. 10, pp.1–32.
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The following International Journal of Simulation and Process Modelling article, "Real-time logistics route planning and energy consumption simulation modelling from a green computing perspective", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A study of the oil, gas and petroleum industry has found that “quiet firing” by employers is associated with higher levels of “quiet quitting” among employees, while strong workplace relationships can weaken that effect. The research appears in the International Journal of Business Information Systems.
Quiet quitting, a term that has gained prominence in recent years, describes employees limiting their work to their formal responsibilities rather than taking on additional effort. Quiet firing refers to employers indirectly encouraging workers to leave by creating an undesirable working environment or withholding opportunities and support.
The research showed that there is a positive relationship between the two practices: as quiet firing increased, so did quiet quitting. But the relationship was weaker where workplaces had greater social capital, the networks, trust, shared norms and relationships that enable people to cooperate and communicate with each other more effectively.
The findings have implications for human resource management as attention might move from the disengagement of individuals and the impact on turnover to overarching organisational behaviour. Rather than treating quiet quitting solely as a problem of employee motivation, the research suggests that management practices can contribute to withdrawal and should be considered too.
Rajabpour, E., Mohammadi, H., Amoozegar, A., Falahat, M., Shakib, S. and Omar, M.M. (2026) ‘Silent strategies: navigating the complex web of quiet firing and quiet quitting with social capital mediation’, Int. J. Business Information Systems, Vol. 53, No. 5, pp.1–25.
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The following International Journal of Simulation and Process Modelling article, "Multimodal simulation for diagnosing microstrabismus integrating electrooculogram and electroencephalographic signals", 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 Services and Operations Management article, "Performance evaluation of cricket players in Indian Premier League using DEA", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
A new form of steel could be used to reduce low-frequency vibration in machinery operating in harsh environments, where conventional damping materials can degrade, and quickly lead to failure.
The new steel is a type of metamaterial. Metamaterials are materials that get their properties not only from the substances from which they are made but from how the material is structured. A natural example might be honeycomb. Bees use beeswax to create a honeycomb in their hive. Honeycomb is thus a metamaterial that has strength and structure that are very different from unstructured beeswax.
Writing in the International Journal of Hydromechatronics, the team describes how they have taken a type of steel known as 316L and incorporated cellular structures within the steel that have “negative stiffness. A structure with negative stiffness can bend or deform, but the amount of force needed to cause the deformation falls the more the material bends. Rubber and viscoelastic materials can absorb and dissipate vibrational energy through such deformation, but they can perish in harsh environments. The metamaterial based on structured steel 316L can behave a little like rubber and so absorb and dissipate energy but can survive harsh conditions much longer.
316L stainless steel is a particularly corrosion-resistant alloy with good mechanical strength and high-temperature stability. This makes it a good choice for vibration damping in equipment where exposure to seawater, heat or oil contamination, including ships, aircraft and industrial machinery, is common.
Song, Z., Rui, S., Yang, S., Zhou, Z and Wu, J.H. (2026) ‘Negative stiffness-enhanced elastic metamaterials for extreme-environment low-frequency vibration damping’, Int. J. Hydromechatronics, Vol. 9, No. 6, pp.1–28.
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The following International Journal of Services and Operations Management article, "Data-driven retail service operations: big data analytics capability, market orientation, innovation and marketing capabilities in Thailand's retail sector", 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 Systems, Control and Communications article, "Multi-UAV path planning methodology for dual-task power inspection scenarios based on genetic algorithm", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
The shift towards distributed electricity systems is changing the work of operators responsible for keeping high-voltage grids stable, according to a study in the International Journal of Human Factors and Ergonomics. The researchers looked at the concerns of employees at 15 Nordic grid operators.
As renewable generation becomes more common, operators report undertaking more active balancing work to allow for the intermittent nature of power production from wind, solar, and other sources. Automation is regarded as essential, but the team says that respondents raised concerns about reliability, stress, and changing skill requirements. The team also found that attitudes towards new technology were shaped partly by previous experience. However, a reliance on overloaded tools and outdated systems used in conventional energy production contributed to problems.
The researchers argue that the challenge is not simply to introduce more sophisticated software. Transmission system operators (TSOs), which operate high-voltage electricity networks, must also adapt training, work design, and organisational structures to cope better with the new demands.
The findings also point to a changing definition of expertise. Traditional manual skills may become less central as operators monitor automated processes, interpret outputs and troubleshoot system behaviour. Some respondents questioned whether emerging skills, including understanding algorithms and debugging, fit their conception of the operator role.
However, the researchers argue that technology, responsibilities and organisational support should develop together, with operators involved in designing future control-room systems.
Svensson, S., Borell, J. and Osvalder, A-L. (2026) ‘Operator perspectives and attitudes to evolving tasks and tools in power grid operations’, Int. J. Human Factors and Ergonomics, Vol. 13, No. 5, pp.1–27.
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The following International Journal of Business Information Systems article, "Silent strategies: navigating the complex web of quiet firing and quiet quitting with social capital mediation", 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 Emerging Markets article, "The evolution of the digital finance literature on financial behaviour and market risk", 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 Electronic Finance article, "Trust as a mechanism linking AI recommendation accuracy and investment performance among young investors in Indonesia", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
An approach to closing a security vulnerability in an emerging hybrid cryptographic protocol for Internet of Things (IoT) devices is described in the International Journal of Internet Technology and Secured Transactions. The flaw in such protocols, which are in transition between conventional and quantum computing, can allow third parties with some level of trust to impersonate legitimate devices and gain higher-level access illicitly. The new approach precludes such access without adding much to performance costs.
The researchers looked at a framework combining elliptic curve cryptography (ECC), a widely used public-key system, with post-quantum cryptography (PQC). These algorithms are designed to withstand attacks from future quantum computers. They demonstrated that this framework is vulnerable to semi-trusted third parties who might reconstruct authentication material derived from a device's identifying hardware characteristics and subsequently spoof the device.
With this in mind, the researchers modified the protocol by adding a post-quantum digital-signature scheme and isolating device key derivation from the third party. In their tests, they found that the revised protocol offered mutual authentication, protected session keys, resisted replay attacks, and prevented malicious third parties from accessing the necessary authentication material that would allow them illicit access.
Hassan, A., Ishaq, I. and Munilla, J. (2026) ‘Enhancing IoT security in the post-quantum era: a hybrid approach to protection from impersonation attacks’, Int. J. Internet Technology and Secured Transactions, Vol. 13, No. 9, pp.1–42.
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