11 March 2026

Like attracts like

Efforts to increase gender diversity on corporate boards have often been justified on grounds of fairness and representation. Research in the International Journal of Corporate Governance suggests that the presence of women in supervisory roles may also shape how companies are run, influencing both who becomes a top executive and how closely senior leaders are monitored.

The study examined publicly listed German companies during a period when political pressure to increase female representation in corporate leadership was high on the agenda. Germany formally introduced a gender quota in 2016 requiring large listed companies to ensure that at least 30 per cent of supervisory board members are women. This led to a significant increase in female representation on supervisory boards by the end of the decade. Yet, say the researchers, women were not as well represented on management boards. A mere one per cent of executive roles were held by women in the mid-2000s, and that figure had only risen to about 10 per cent by 2019.

To understand how female representation influences corporate leadership, the study analysed almost 100 publicly listed firms subject to codetermination rules. It focused on two outcomes: the composition of management boards, particularly the presence of female executives, and executive turnover, the rate at which top leaders leave their positions. The analysis focused on chief executive officers (CEOs), chief financial officers (CFOs), and chief human resources officers (CHRO).

The study used a statistical method known as an instrumental variable approach to address a common difficulty in this kind of research, endogeneity. Endogeneity arises when cause and effect are intertwined. For example, firms that are already committed to diversity may appoint more female supervisors and promote more women to executive roles, making it difficult to determine whether one caused the other. By using earlier levels of female representation as a statistical instrument, the analysis could isolate the causal impact of women serving on supervisory boards.

The results suggest that the influence of female supervisors depends less on their overall numbers than on where they sit within the governance structure. Women serving as shareholder representatives on the remuneration and personnel committee significantly increase the proportion of women on management boards. Because this committee prepares decisions about executive appointments, membership provides direct influence over who joins the leadership team.

This pattern is consistent with a concept in social science known as the similarity attraction paradigm, like attracts like, if you will. The theory holds that individuals often favour colleagues who resemble themselves, whether in background, experience or identity. Applied to corporate boards, it suggests that female supervisors may be more likely to support female candidates for executive roles, particularly when they have direct authority over appointments.

Carow, J. (2026) ‘The effect of female supervisors on the structure and dynamics of the management board‘, Int. J. Corporate Governance, Vol. 16, No. 1, pp.1-37.

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New Open Access article available: "Multimodal transformer-driven consistent environment design generation simulation modelling"

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Free sample articles newly available from International Journal of Corporate Governance

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  • Effect of board attributes on the quality of integrated reports: evidence from India
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New Open Access article available: "Enhancing retail decision-making accuracy through deep learning-based consumer sentiment simulation modelling"

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10 March 2026

Research pick: Women lead on corporate sustainability - "Females on board and sustainability performance: evidence from the emerging markets"

Research in the International Journal of Corporate Governance suggests that the makeup of corporate boards can affect how companies approach sustainability, particularly in emerging economies where governance systems are still developing.

The study is based on observations amounting to almost 20000 firm-years across 25 emerging markets. A firm-year is a single observation representing one company’s data for one year in empirical business research. Thus, 20,000 firm-years consists of data collected for many companies over several years, where each company contributes one observation for each year it appears in the data.

The work shows that companies with more women on their boards tend to have better environmental, social, and governance (ESG) performance. The work also questions the received wisdom of governance that increasing the number of independent directors strengthens corporate responsibility.

Sustainability performance refers to how companies manage ESG issues. Environmental factors include carbon emissions, pollution, and resource use. Social factors relate to employee welfare, diversity, and community engagement. Governance concerns how firms are directed and controlled, including leadership accountability and board oversight. These various factors can be scored together to give investors and regulators a single metric with which they can assess long-term corporate risk and resilience.

A key feature of the current study is that it distinguishes between female executive directors who hold senior management positions and influence operational decisions and non-executive directors that provide oversight and strategic guidance but are not involved in the daily management of the company.

The works shows that the presence of women in both types of role is associated with better ESG scores. The researchers suggest that gender diversity broadens perspective in boardroom decision-making and encourages focus on long-term risks and stakeholder concerns.

The analysis also identifies an unexpected pattern regarding board independence. Independent directors—board members who are not part of company management—are widely viewed as essential for objective oversight. However, the study finds that a higher proportion of independent directors is linked to lower sustainability scores in the sampled emerging markets.

Elbayoumi, A.F., Elmoursy, H., Eljilany, S.M., Bouaddi, M. and Basuony, M.A.K. (2026) ‘Females on board and sustainability performance: evidence from the emerging markets’, Int. J. Corporate Governance, Vol. 16, No. 1, pp.67–89.

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

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  • Research on analysis and improvement strategies of consumer loyalty on e-commerce platforms based on big data
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New Open Access article available: "Discrete-event simulation modelling of inventory turnover under supply chain financial collaboration"

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Prof. Mahamadou Biga Diambeidou appointed as new Editor in Chief of International Journal of Comparative Management

Prof. Mahamadou Biga Diambeidou from UCLouvain in Belgium has been appointed to take over editorship of the International Journal of Comparative Management.

9 March 2026

Research pick: Planning for planned obsolescence - "Intentions to upgrade software: evidence from Microsoft Windows users"

A study in the International Journal of Intellectual Property Management suggests that planned obsolescence drives software innovation but also leads to customer lethargy or worse piracy.

The research has looked at the software upgrade cycle and highlights the complex role of planned obsolescence in shaping user behaviour across both legitimate and pirate markets. Planned obsolescence, in the context of software, involves discontinuing updates and technical support for older versions to encourage users to adopt newer releases. While often criticised as a tactic to extract additional revenue, the study notes that this strategy reflects practical considerations in software development. Companies continually invest in new features, security improvements, and interface enhancements, and revenue from upgrades sustains ongoing innovation.

However, the research, which focuses primarily on personal computer operating systems (OS), suggests that when companies end support for older versions of their software, this influences not only consumer choice but also broader patterns of technology adoption.

The team has analysed how users respond to these transitions using a push-pull-mooring (PPM) model. This framework was originally used to study geographic relocation but couches OS updates in terms of push and pull factors. Push factors are the drawbacks to remaining with outdated software, such as vulnerability to security breaches or incompatibility with modern applications and hardware. Pull factors represent advantages of upgrading, including enhanced functionality and a better user experience. The third type of factor, mooring factors, by contrast, are the costs or attachments that inhibit switching, such as financial expense, learning curves, or habit.

The team surveyed almost 300 users of perhaps the most common operating system on personal computers the world over. They found that the recognition of planned obsolescence increased a person’s intention to upgrade but that there is a split between users following the official channel to upgrade or turning to a pirate source. They also found that social influences and the appeal of improved features were particularly strong motivators for legitimate upgrades, whereas high switching costs, including technical challenges and monetary considerations, drove some users almost inevitably towards pirated software.

There exists a dynamic tension that the software companies face. If they discontinue older products, this eventually forces users to upgrade and so leads to new revenues. But that constant cycle of upgrade and obsolescence pushes people towards software piracy, especially in regions where higher cost sensitivity is a major decisive factor, such as in the developing world.

The work suggests that planned obsolescence is more than a marketing tactic. This hints that software companies could increase legitimate adoption and reduce piracy by designing upgrade processes that lower learning costs, clearly communicate benefits, and carefully manage the phasing-out of older products.

Thi, T.D.P. and Duong, N.T. (2026) ‘Intentions to upgrade software: evidence from Microsoft Windows users’, Int. J. Intellectual Property Management, Vol. 16, No. 1, pp.45–69.

New Open Access article available: "Automated simulation testing for complex software environments using multi-agent reinforcement learning"

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

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  • Carbon emission prediction and management under the coordinated operation of renewable energy and smart grid
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6 March 2026

Free sample articles newly available from International Journal of Intelligent Systems Technologies and Applications

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  • Atmospheric pollution and climate change in urban areas: a review of implemented policies
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Research pick: Ask not what AI can do for your business… - "Business transformation in the age of generative AI: from strategy to societal impact"

The advent of generative artificial intelligence, GenAI, has changed how businesses use digital technologies. Where for many years AI was used as a predictive, analytical, and diagnostic tool, now it can produce ideas, articles, computer code, images, video, and music.

The turning point perhaps came in late 2022 with the public release of systems such as ChatGPT. These new tools allowed users to interact with complex AI models through conversational prompts. They could give the GenAI written, and more recently, spoken instructions, and the system would respond. These tools have since then become increasingly sophisticated and are now used across the corporate world and beyond.

The change happened partly because there were major developments in machine learning, a branch of computer science in which algorithms learn patterns from large datasets and can produce an output to a given prompt based on what they have learned. Central to this process is the so-called transformer model. This is a type of neural network architecture that can analyse relationships between different entries in a large volume of data. Neural networks are computational systems loosely inspired by the structure of the human brain. Transformer-based systems, including the GPT family of models, are particularly effective at generating coherent language from their training data given an appropriate prompt.

There are other approaches to GenAI. Generative adversarial networks (GANs), for instance, use two neural networks that play off each other. One creates synthetic data based on its training, and the second evaluates how real that data is based on its own training. The process goes back and forth until the output is deemed optimal and the system can no longer improve the synthetic output or make it any more real than it is.

There are various other approaches, such as variational autoencoders, which compress and simplify data and then generate variations on the themes. Diffusion models, widely used for image generation, begin with random noise and gradually transform it into structured images. More often than not, a GenAI might be using at least two of these approaches in a multimodal system that can produce text, images, and audio together.

Writing in the International Journal of Generative Artificial Intelligence in Business, researchers discuss how well all of these systems work, the value they create, and the ethics associated with GenAI. Where GenAI is augmenting one-on-one human interaction or helping make business decisions, there are issues of bias inherent in training data as well as labour disruption to consider.

As AI systems assist increasingly in analytic, writing, and creative work, knowledge workers and many other people will collaborate more and more with machines. The change is disruptive, it is likely that many jobs will become redundant. However, with automation there will be a greater need for critical thinking and ethical judgement.

Zouaghi, I. and Fosso Wamba, S. (2026) ‘Business transformation in the age of generative AI: from strategy to societal impact’, Int. J. Generative Artificial Intelligence in Business, Vol. 1, Nos. 1/2, pp.238–262.

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

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  • Integrated knowledge graph and reinforcement learning: a graph modelling approach for international trade behaviour analysis and economic trend prediction
  • Knowledge tracing in mathematical problem-solving processes: a spatio-temporal graph neural network approach
  • EC-RLPA: a dynamic pricing law framework for smart connected vehicles integrating edge computing and reinforcement learning
  • Collaborative multi-agent Q-learning-empowered vocational education resource matching system
  • A dynamic evaluation model for sports sponsorship value based on neural-symbolic fusion learning

New Open Access article available: "Visualisation of Chinese phonemes based on three-dimensional tongue model and ultrasound images"

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5 March 2026

Research pick: Coming to your educational rescue - "Emotional support and satisfaction with university campus life: mediation of self-efficacy and problem-solving"

Emotional support from parents and teachers can play an important role in how satisfied students feel with university life in Pakistan, according to research in the International Journal of Services, Economics and Management based on a survey of almost 600 undergraduates. The study suggests that encouragement and understanding from family and faculty do more than provide comfort: they appear to strengthen students’ psychological resources in ways that make campus life more manageable and rewarding for them.

The researchers turned to social support theory, a framework for understanding how caring relationships enhance psychological well-being and resilience, to help them investigate campus life.

Their analysis of the survey data did not just ask whether support improves satisfaction but explored how it does so. In particular, they assessed whether two psychological characteristics, self-efficacy and problem-solving ability, act as mediators of support. Self-efficacy describes a person’s belief in their own ability to succeed. Problem-solving capacity refers to one’s skills and confidence in resolving difficulties.

The team found that parental support is linked to stronger self-efficacy and improved problem-solving skills, which in turn contribute to greater satisfaction. Encouragement from home seems to foster confidence and a sense of competence. Emotional support from teachers follows a different pattern. Students who see their instructors as respectful, attentive, and supportive also report higher satisfaction with campus life. This relationship, the researchers suggest, is partly explained by enhanced problem-solving ability. Supportive teachers appear to help students think through challenges and develop strategies to address them. Teacher support did not significantly influence self-efficacy in this study. In others, words, teachers might help students tackle specific problems without fundamentally shaping the student’s self-belief.

The team adds that the cultural setting is important. In a society where family bonds and collective aspirations remain central even into early adulthood, parental influence may continue to outweigh that of teachers in shaping self-belief. This contrasts with studies in the West, where support from teachers in higher education, are more strongly associated with a student’s sense of competence.

Ahmad, M.S., Ahmad, M.A. and Elgammal, I. (2026) ‘Emotional support and satisfaction with university campus life: mediation of self-efficacy and problem-solving’, Int. J. Services, Economics and Management, Vol. 17, No. 1, pp.81–101.

New Open Access article available: "Sustainable fashion in the digital age: investigating consumer responsiveness to value-driven in-app pre- and post-purchase marketing strategies"

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New Open Access article available: "The mediating role of psychological capital in linking environmental dynamism to entrepreneurial persistence among nascent entrepreneurs in China"

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New Open Access article available: "Environmental, social and governance reporting quality and firm lag vs. lead performance: evidence from Sri Lankan listed companies"

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4 March 2026

Research pick: Throwing shade on the dark side of AI - "The dark side of artificial intelligence"

Artificial intelligence, AI, has become one of the defining technologies of what economists and policymakers describe as the Fourth Industrial Revolution. This is an era in which digital, physical, and biological systems are increasingly intertwined. In practical terms, AI refers to computer systems capable of performing tasks that typically require human intelligence, such as recognising patterns, learning from data, making predictions, and assisting in complex decisions.

Aside from the generative AI and search tools that are at the forefront of the media and economic hyperbole, analytical and related AI systems already underpin smart manufacturing platforms, digital twins for testing and optimising equipment performance, adaptive cybersecurity tools, medical diagnostics, and much more. It is unlikely that within a decade or so many occupations will not have been augmented or displaced by AI tools. The potential for productivity, innovation, and economic growth is great.

As with any new technology, however, there are good reasons to look closely at the social and economic impact AI might have. It would be prudent to put safeguards in place urgently given the way in which technologies have often amplified inequality, weakened democratic norms, and introduced new systemic risks in the past.

Research in the International Journal of Generative Artificial Intelligence has looked closely at many of the issues that are coming to the fore, such as labour disruption, deepfakes, the opacity of advanced AI models, bias, copyright, privacy, and security issues. Then, there is the issue of whether a superintelligent AI might surpass human abilities and redefine our very existence, perhaps even determining, algorithmically or some kind of awareness, that we as a species are redundant, or worse, a problem that needs to be removed.

The researchers suggest that at the geopolitical level, international coordination is a major challenge, not least given the rogue behaviour of some so-called state actors. The trajectory that AI takes in this Fourth Industrial Revolution is not fixed, nor is it predictable. We need to work together to ensure that it works for the benefit of humanity and the planet.

Min, H. (2026) ‘The dark side of artificial intelligence’, Int. J. Generative Artificial Intelligence in Business, Vol. 1, Nos. 1/2, pp.199–209.

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New Open Access article available: "Unethical leadership in the South African public sector tender processes through the lens of game theory"

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New Open Access article available: "AI in sustainable higher education: an interpretive structural model and MICMAC approach"

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3 March 2026

New Open Access article available: "Applying the Jidoka concept to white-collar departments: an examination of the JKK initiative at Toyota Motors"

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Free Open Access issue published by World Review of Entrepreneurship, Management and Sustainable Development

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  • Entrepreneurship at the base of the pyramid: effectual logics and sustainable development
  • Potential of digital marketing and determinants of the 5A marketing strategy: a case in Thailand

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Research pick: Sites of the underground - "Application of deep learning algorithms in the design of urban subway public art space"

Underground metro (subway) stations are no longer merely points of departure and arrival. As cities grow denser and transit networks expand, these spaces have the potential to function as some of the most widely shared public interiors in urban life. They are places where millions pass daily, cutting across age, income, and neighbourhood. They offer a rare platform for collective cultural experience. Stations can, suggests research in the International Journal of Environment and Sustainable Development, anchor local identity, narrate a city’s history, and shape how residents and visitors alike perceive the character of the urban environment.

The research addresses a practical question confronting transport authorities and urban designers: how can large-scale public art projects fit into this infrastructure as it changes? Traditional artist-led design processes, though highly creative, can be time-intensive. By contrast, deep learning has allowed computers to generate high-quality images at speed. The missing link is that the computer-generated images may not understand the cultural meaning that the images need to convey. There is also a need to take into account how well a design might be installed in a real site.

The researchers hope to bridge this gap and have developed a multi-stage framework that integrates cultural analysis, visual cognition modelling, and spatial feasibility testing into a single pipeline.

Their approach is based on a semantic labelling system. The system can organise cultural concepts, such as local history, regional traditions, and environmental identity, into a knowledge graph. This graph can map relationships between ideas, enabling the computer to understand individual symbols and how they fit with broader narratives.

The framework then uses Contrastive Language-Image Pretraining, CLIP, is a deep neural network trained on vast datasets of containing pairings of images and text. An additional layer simulates human perception through a visual attention prediction network, considering composition, spatial layout, and pedestrian flow. By predicting where passengers are likely to focus while moving through a station, the system can position key symbolic elements in high-attention zones. The researchers suggest this could improve not only the aesthetic impact of the art installation but also the way in which pedestrians navigate the subway stations.

Wang. Q. (2026) ‘Application of deep learning algorithms in the design of urban subway public art space’, Int. J. Environment and Sustainable Development, Vol. 25, No. 5, pp.44–72.

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  • Cross-modal sentiment analysis of new media content based on an enhanced question-answering framework
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Free sample articles newly available from International Journal of Services, Economics and Management

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