29 September 2023

Research pick: At the end of the road, EV batteries have no particular place to go - "Geo-environmental and human health impacts of spent lithium-ion battery waste and its recycling: a critical review"

Transport is at a crossroads as we move away from filling our tanks with liquid fossil fuels and powering them up from battery charging points. However, the lithium-ion batteries that displaced those tanks have a finite lifespan and must be replaced when their recharge capacity falls below a usable level. With millions of electric vehicles set to be driving our roads in the coming decades, the shift to a promised greener, cleaner future for transport is well underway…but only if we can manage the battery waste and ensure that their batteries don’t end up in a pile-up of electrical waste.

Writing in the International Journal of Environment and Waste Management, a team from India has carried out a critical review of where we stand in terms of transport and the future problem of battery waste and lost resources. Preeti Mishra and Sayali Apte of the Department of Civil Engineering at Symbiosis International (Deemed University) in Pune, Maharashtra, have examined key elements of the growing electric vehicle market. They have looked at the impact on the environment and the crucial role of recycling in making the industry sustainable. The team underscores the need for sustainable solutions from both the environmental and the human health perspective.

The so-called EV30@30 scenario suggests that we will be driving well over 43 million electric vehicles by 2030. Research into the long-term impact suggests that this transition will reduce pollution and our dependency on fossil fuels, provided power generation for those vehicles is sustainable, but there will also be an increase in electrical waste generation as the years roll by.

Recycling might reduce some of the waste and allow re-use of precious resources, but there will still be a lot of heavy metal waste that will end up in landfills the world over. Much of the research into this issue has been done in China and the USA modelling how the waste might be managed, but there is a dearth of research in developing countries, the team writes. Of course, in places where this is less research being undertaken, the problem of electrical and electronic waste ending up in landfill will inevitably be greatest, the review suggests.

Electric vehicles will hopefully motor us towards greener, cleaner transport, but there is always a compromise in the form of the waste management challenges they present, which are very different from those we have had to cope with in the era of the internal combustion engine. The issues cannot be off-roaded, they require immediate attention to allow us to develop sustainable battery chemistry, waste management techniques, and recycling practices.

Mishra, P. and Apte, S. (2023) ‘Geo-environmental and human health impacts of spent lithium-ion battery waste and its recycling: a critical review’, Int. J. Environment and Waste Management, Vol. 32, No. 3, pp.286–300.

First issue: International Journal of Product Sound Quality (free sample issue available)

 

The International Journal of Product Sound Quality is an international scientific peer-reviewed journal that publishes original research findings addressing the use of sound for the design, fabrication, manufacture and assessment of engineering products. It provides a scientific platform for both academia and industry to disseminate their latest research results in all subjects and topics related to the sound issues of modern products. Full papers, communications and reviews are all welcome.

There is a free download of the papers from this first issue.

28 September 2023

Free open access article available: "How Miami became the gateway for flowers in the USA"

The following paper, "How Miami became the gateway for flowers in the USA" (International Journal of Teaching and Case Studies 11(3) 2020), is freely available for download as an open access article.

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

Research pick: Dynamic BLOB adjustment gives cloud computing a 96% efficiency boost - "Efficient data storage: adaptively changing chunk size in cloud computing storage systems"

Research in the International Journal of Grid and Utility Computing has shown how an adaptive approach to the size of data “chunks” in cloud computing storage systems can improve efficiency considerably.

Chalabi Baya of the Ecole Nationale Supérieure d’Informatique in Alger, Algeria and Slimani Yahya of the Universitié de La Manouba in Tunisia have considered the way in which unstructured data is stored as BLOBs (Binary Large Objects), in the cloud. They point out that most data management systems use data chunk sizes equal to a given BLOB but this seemingly simplistic approach belies a problem – BLOB sizes are not all equal. BLOBs are fundamental components in cloud computing and the issue of size puts obsactles in the way of moving data leading to inconsistent data access across systems, thus reducing efficiency. A reduction in efficiency means energy is wasted in shuttling and storing data.

The team points out that there are always compromises to be made in attempting to improve efficiency in computing systems. “As the chunk size affects the bandwidth, if the size of the chunk is small, then the network will be overloaded,” the team explains. “On the other hand, if the chunk size is big and data are being accessed concurrently, the response time increases.”

To help overcome the various problems, the researchers have developed an adaptive approach that tailors the chunk size dynamically based on a set of real-time metrics. These metrics encompass factors such as available bandwidth, storage usage, BLOB size, and the frequency of data access.

In tests to compare the new approach with fixed chunk-size methods, the team saw a 24% improvement in execution times and a 96% improvement over the random chunk-size methods. The researchers add that their data-striping technique might also be used with other data management systems. They are planning to test their approach with real-world cloud computing platforms, such as BlobSeer and Hadoop Distributed File System (HDFS).

Baya, C. and Yahya, S. (2023) ‘Efficient data storage: adaptively changing chunk size in cloud computing storage systems’, Int. J. Grid and Utility Computing, Vol. 14, No. 5, pp.516–525.

27 September 2023

Free open access article available: "Automatic and portable cleaning photovoltaic solar panels mechanism"

The following paper, "Automatic and portable cleaning photovoltaic solar panels mechanism" (International Journal of Power and Energy Conversion 14(1) 2023), is freely available for download as an open access article.

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

Free sample articles newly available from International Journal of Power and Energy Conversion

The following sample articles from the International Journal of Power and Energy Conversion are now available here for free:
  • An effective management of scheduling-tasks by using MPP and MAP in smart grid
  • A review on model predictive control techniques applied to hierarchical control of AC microgrids
  • A load flow analysis for distribution system under various mathematical load models of electric vehicle
  • The effective tasks management of workflows inspired by NIM-game strategy in smart grid environment
  • A novel optimisation technique based on swarm intelligence for congestion management in transmission lines

Research pick: Where have all the flowers gone? - "How Miami became the gateway for flowers in the USA"

In the questioning words of the 1955 Pete Seeger song: “Where have all the flowers gone? Long time passing”. Well, it seems Miami is where they’ve all gone and it’s not taking them so long, after all.

Research in the International Journal of Teaching and Case Studies has shown how Miami International Airport (MIA) blossomed into the main entry point for 90% of fresh-cut flowers imported into the USA. The seed of the study used the Theory of Constraints (TOC) to analyze the way in which the airport optimized its operations to handle perishable cut flowers efficiently.

The work by Janaina Siegler of the Lacy School of Business at Butler University in Indianapolis, Indiana, shows that crucial to its growth was addressing the need for a robust cold chain infrastructure given the highly perishable nature of cut flowers. Temperature control during transportation and storage is imperative and so MIA streamlined the unloading and storage in temperature-controlled warehouses that could cope with the hothouse that is the city of Miami.

In addition to the climatic constraints, MIA also had to effectively manage the customs process. The management realised that customs inspections at other US airports could be a significant bottleneck in the processing of goods and such delays could easily lead to floral droop. MIA thus pre-positioned flowers in its cold warehouses and so made customs inspections more efficient and cost-effective by reducing the number of ailing blooms. The airport thus was able to outperform many other airports in this regard.

Of course, the geographical position of MIA in Florida and its proximity to Latin America plays a significant role in its success, not least because of shared language and cultural factors. This allowed cargo aircraft loaded with colourful blooms to be efficiently transported from Bogota, Colombia, for instance, and for those same aeroplanes to return with products destined for southern countries. MIA thus fertilised a symbiotic relationship, which added mutual economic value to the two-way supply and demand chains.

The work provides invaluable insights into how strategic decisions and optimization of constraints can shape supply chains. The US cut-flower industry sustains more than 200000 jobs across various sectors, including importers, distributors, wholesalers, retailers, and the florists themselves. Those insights could help researchers, policymakers, and various stakeholders better understand the dynamics behind MIA’s role in this sector and so help improve future supply chain strategies and economic decisions. It might also help improve supply chains elsewhere in other import and export sectors.

Siegler, J. (2020) ‘How Miami became the gateway for flowers in the USA’, Int. J. Teaching and Case Studies, Vol. 11, No. 3, pp.208–222.

Inderscience journals to invite expanded papers from 5th Nordic International Business, Export Marketing, International Entrepreneurship, Entrepreneurship, Brand Management, Consumer Behaviour, and Tourism Conference 2023 for potential publication

Extended versions of papers presented at the 5th Nordic International Business, Export Marketing, International Entrepreneurship, Entrepreneurship, Brand Management, Consumer Behaviour and Tourism Conference 2023 (2-3 December 2023, online on Zoom) will be invited for review and potential publication by the International Journal of Export Marketing and Nordic Journal of Tourism.

26 September 2023

Free sample articles newly available from International Journal of Public Policy

The following sample articles from the International Journal of Public Policy are now available here for free:
  • An investigation of the delayed stabilisation hypothesis with experimental data
  • Regional strategies for sustainable healthcare - the winding path of UN SDGs into Swedish regional healthcare systems
  • Currency exchange rate as a business climate factor for foreign investors in the Russian Federation
  • Climate risk perceptions and policy ambition
  • Analysing complex policy problems: a critical review of the literature
  • Dynamic relationship between fiscal deficit and current account deficit in India: multivariate cointegration and causality analysis
  • The malign system in policy studies: strategies of structural and agential political exclusion
  • The role of government in post-legislative scrutiny: case study of revision to the Indonesian Fisheries Law

Special issue published: "New Trends in Knowledge Management Development"

International Journal of Web Engineering and Technology 18(3) 2023

  • A study on the economic and sustainable development forecast of rural tourism industry based on ANN
  • Predicting the enterprise tax risk using improved multilayer perceptive vector machine
  • Research on the privacy protection model of government cyber security in smart cities based on big data
  • Research on the application of association rules based on information entropy in human resource management
  • Personalised learning systems: drivers of employees' behavioural intention
  • Application of chorus teaching model for pedagogical quality assessment on software engineering skills teaching

Research pick: Self-cleaning solar panels - "Automatic and portable cleaning photovoltaic solar panels mechanism"

Research in the International Journal of Power and Energy Conversion outlines an approach to cleaning photovoltaic (PV) solar panels to ensure they operate at maximum power-generation efficiency. The automatic and portable cleaning system, which can be adapted for different panel sizes is designed to combat efficiency reduction of up to 40% caused by the accumulation of dust on the sunlight-absorbing upper surface of PV panels. Dust and dirt accumulation have always been a significant problem undermining the performance of PVs.

Fulton Carlos Reategui-Ordoñez, Fernando Paredes Marchena, Juan Eduardo Reategui-Ordoñez, Hugo Guillermo, and Jimenez Pacheco of the Universidad Católica de Santa María in San José, Perú, focused on the impact of climate variations on PV cleanliness. They found that dust accumulation led to a remarkable reduction in panel efficiency with a fall of more than 11% and sometimes a peak reduction of 39.6% occurring during maximal incident sunlight. They add that a panel’s fill factor (FF), a critical indicator of efficiency, drops significantly if a panel is coated with dust or otherwise dirty. Dust accumulation is, of course, dependent on local conditions and so an automated cleaning system would be most useful in some regions more than others.

Manual cleaning or relying on natural weather conditions are not optimal solutions and so the team has developed an automatic cleaning system that can consistently restore a panel to near-pristine conditions and so maximise efficiency. The system would be relatively easy to install and utilises a computerised controller to time cleaning and a microfibre cloth to remove dust without scratching the panel.

Reategui-Ordoñez, F.C., Paredes Marchena, F., Reategui-Ordoñez, J.E. and Jimenez Pacheco, H.G. (2023) ‘Automatic and portable cleaning photovoltaic solar panels mechanism’, Int. J. Power and Energy Conversion, Vol. 14, No. 1, pp.75–91.

Free sample articles newly available from International Journal of Product Lifecycle Management

The following sample articles from the International Journal of Product Lifecycle Management are now available here for free:
  • Reducing professional maintenance losses in production by efficient knowledge management in machine acquisitions
  • Analysis of the life-cycle cost and capability trade-offs associated with the procurement and sustainment of open systems
  • Initial stage of an industrial investigation of the knowledge management practices in a large-scale multinational automotive company
  • Product BOMs in different lifecycle contexts managed by a PLM system as a requirement for implementing digital twins

25 September 2023

Research pick: Balancing social missions with profitability - "Accountability in social enterprises: the role of institutional pressure and social performance"

A study in the International Journal of Business Excellence has revealed how accountability in the performance of social village-owned enterprises (VOEs) is critical to their meeting both their social mission and achieving financial viability without compromising either. The research, which focused on VOEs across four districts, examined 451 participants and showed how social ethics and financial aims must be delicately balanced.

Yesi Mutia Basri, Hariadi Yasni, Poppy Nurmayanti M., and Novita Indrawati of the Faculty of Economics and Business at the University of Riau in Pekanbaru, Indonesia, explain that accountability is the pivot about which an organisation must balance its social impact and financial security. Moreover, when social organizations are held accountable for their actions and decisions, they tend to perform better both in terms of their social mission and financial health, the team found. This connection underscores the need for a clear approach to the organisation’s social goals and its finances.

However, the team also showed that there can be confounding factors that can tip this delicate balance. They suggest that institutional pressures can affect the interplay between accountability and performance. Such pressures, which may arise from regulations, community expectations, or even the support of other organizations can reduce accountability and have a detrimental impact on financial performance and social aims within VOEs.

There are, of course, other factors at play such as public and business transparency and the rule of law. Indeed, the findings could offer some guidance to governments in the formulation of policies to enhance accountability within social organizations.

The team suggests that in order to build on the findings, future work will look at a wider range of social organization types and examine the impact of various governance principles as well as study the broader political context of the activities of those organisations. Such would add to our understanding of organizational accountability.

Basri, Y.M., Yasni, H., Nurmayanti M., P. and Indrawati, N. (2023) ‘Accountability in social enterprises: the role of institutional pressure and social performance’, Int. J. Business Excellence, Vol. 31, No. 1, pp.155–175.

Inderscience journals accepted for indexing in Studies on Women and Gender Abstracts database

The Editorial Office is pleased to report that the following journals have been accepted for indexing in Taylor & Francis's Studies on Women and Gender Abstracts database:

Special issue published: "Driving Excellence Through Digital Transformation"

International Journal of Public Sector Performance Management 12(3) 2023

  • An empirical study of job aspirants' perception towards e-recruitment practices
  • Impact of capital structure on Indian banking: an empirical analysis
  • Retention swirl: tool creation to understand factors effecting employee retention in entrepreneurial firms
  • Factors impacting digital buyer's decision: role played by virtual store and social networking sites as selling medium for consumer electronics
  • Predictive role of quality of work life on employee well-being: an empirical study of selected solar power organisations of India
  • Determinant factors influencing green purchase intention of millennials in Delhi/NCR and green consumer needs
  • An empirical research on GAIL
  • Leveraging technical analysis and artificial intelligence - optimisation of global portfolio management through world indices
  • Investigating and analysing critical factors for the adoption of green banking practices

22 September 2023

Editor in Chief invites submissions for newly relaunched journal, Atoms for Peace

Dr. Abdessamad Didi, the newly appointed Editor of Atoms for Peace: an International Journal (AfP), is delighted to announce an open call for research papers dedicated to advancing the field of nuclear science, with a particular focus on the peaceful applications of atomic energy. The journal invites authors to contribute articles that highlight innovative research and cutting-edge developments in nuclear science and its role in fostering global peace and sustainable development. Dr. Didi encourages researchers, academics and professionals from diverse backgrounds to submit their work to AfP, thereby facilitating the dissemination of valuable insights within this pivotal domain.

Scope of the journal

We welcome submissions related to, but not limited to, the following areas:
  • Nuclear reactor technologies: exploration of pioneering reactor designs, safety enhancements and operational efficiency innovations in nuclear reactors
  • Radiation medicine: advancements in radiation therapy, diagnostic radiology, and nuclear medicine aimed at enhancing healthcare outcomes
  • Nuclear security and non-proliferation: strategies and technologies designed to ensure the peaceful utilisation of nuclear materials and the prevention of their misuse
  • Nuclear energy policy: studies examining energy policy, regulatory frameworks and sustainable nuclear energy solutions
  • Environmental impact assessment: evaluations of the environmental impact of nuclear facilities and waste management
  • Nuclear education and public outreach: initiatives aimed at fostering public awareness and comprehension of nuclear science
AfP operates as a fully refereed international journal, committed to the publication of original articles that explore the theory and practical application of nuclear science. Our primary emphasis is on innovative approaches with substantial implications for advancing global peace and sustainable development. We invite researchers, scholars and experts in the field to contribute to AfP and contribute to the responsible utilisation of atomic energy for the betterment of society and the world.

Objectives

The primary mission of AfP is to establish a global platform for the dissemination of pioneering research findings, ideas and concepts at the intersection of nuclear science, technology and the pursuit of international peace. AfP places a distinct emphasis on fostering knowledge exchange and innovation in the field of nuclear science, with a focus on its role in promoting global peace and sustainable development.

Our specific objectives include:
  • Advancing nuclear science: to facilitate the exchange of groundbreaking research in the domain of nuclear science, including but not limited to reactor technologies, radiation medicine, nuclear security and environmental impact assessment
  • Promoting peaceful nuclear applications: to promote the responsible use of atomic energy for peaceful purposes, such as healthcare, energy generation and environmental management, while preventing its misuse
  • Knowledge sharing: to serve as a conduit for the sharing of knowledge ideas, and expertise among scholars, researchers and practitioners in the field of nuclear science
  • Public awareness and education: to contribute to public awareness and understanding of nuclear science, its benefits and its potential contributions to global peace and development
  • Interdisciplinary collaboration: to encourage interdisciplinary collaboration by bringing together experts from various fields, including nuclear science, policy and environmental studies
  • Ethical and sustainable practices: to promote ethical and sustainable practices in the application of nuclear science, ensuring the protection of human health and the environment
Readership

AfP's readership comprises nuclear scientists, healthcare professionals, policymakers, educators and the general public. This diverse audience seeks cutting-edge research and insights into nuclear science's peaceful applications, healthcare and sustainable energy. Professionals in nuclear medicine, environmental experts and decision-makers benefit from the journal's content. Educators and students use it as a valuable resource for teaching and learning. AfP also caters to global peace advocates and those curious about the responsible use of atomic energy.

Contents

AfP's content spans nuclear science advancements, healthcare applications and sustainable energy topics. It includes research on nuclear reactor technologies, radiation medicine, policy and environmental impact. Readers will find articles on medical innovations, ethical practices and global peace initiatives tied to nuclear science. AfP fosters interdisciplinary knowledge exchange and responsible atomic energy utilisation.

Submission process

All articles for this journal must be submitted using the online submissions system available via the Submitting Articles tab at www.inderscience.com/afp. Please follow all instructions and author guidelines.

Research pick: Student security study - "Understanding users’ perceptions of security in mobile devices using the two-step cluster analysis"

Research in the International Journal of Business Information Systems investigates user perception of mobile device security and offers several recommendations for users and manufacturers of such devices.

Nelson Tochukwu Agu, Joshua Ebere Chukwuere, and Tlhalitshi Volition Montshiwa of North-West University in Mahikeng, South Africa, offer several alarming insights into awareness of mobile security issues among students in the region. Their primary finding from a survey of 142 students at NWU is that some students mistakenly believe that mobile phones are inherently secure and others do not realise that such devices can be less secure than traditional desktop or laptop computers. The work suggests that there is a need for increased vigilance and education regarding mobile device security.

The team also found that while most users have a basic understanding of mobile device security, many of them lack knowledge of even common threats such as viruses, worms, Trojans, and phishing attacks. The researchers believe that this knowledge gap is particularly troubling, as it implies a lack of vigilance in safeguarding mobile devices against these various threats. Many such threats could detrimentally affect the individuals involved, but many have much broader implications allowing the spread of malware to other users and for malicious third parties to compromise devices and so build networks, botnets, under their control for illicit purposes, such as distributed denial of service (DDOS) attacks on organisational and governmental networks, for instance.

The team also found that even those users who understand password protection, many of them neglect additional security measures such as encryption, PINs, patterns, or biometric authentication. They point out that users are happy to engage in risky behaviour, such as ignoring system security warnings, clicking on links or downloading attachments from unknown sources, as well as over-sharing personal information on social media platforms, which might be useful to a third-party hoping to carry an identity theft or in fraudulent activity, based on social engineering in which a confidence trick is played out on an individual or member of an organisation rather than an attack being technological in nature, such as hacking or cracking to break into and compromise a computer system.

The researchers suggest that education of users is critical to bolster mobile phone security, but they insist that device manufacturers should also bear responsibility in addressing this issue and should be proactive in this educational process.

Agu, N.T., Chukwuere, J.E. and Montshiwa, T.V. (2023) ‘Understanding users’ perceptions of security in mobile devices using the two-step cluster analysis’, Int. J. Business Information Systems, Vol. 44, No. 1, pp.81–101.

Free open access article available: "Accountability in social enterprises: the role of institutional pressure and social performance"

The following paper, "Accountability in social enterprises: the role of institutional pressure and social performance" (International Journal of Business Excellence 31(1) 2023), is freely available for download as an open access article.

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

21 September 2023

Research pick: Assessing and addressing academic burnout - "Areas of worklife as predictors of the burnout syndrome"

A research study in International Journal of Behavioural and Healthcare Research has found a profound connection between the dynamics of the work environment and the widespread problem of burnout syndrome among professors in Brazilian academic institutions. The study considers six key facets of work life outlined by the areas of work life scale (AWS) – workload, control, reward, community, fairness, and values, and uses them to discern insights into their predictive potential of academic burnout.

The team of Adriana Porto (Lutheran University of Brazil), Luis Felipe Dias Lopes (Federal University of Santa Maria), and Claudimar Pereira da Veiga (Fundação Dom Cabral) used the Maslach Burnout Inventory General Survey (MBI-GS) tool, which they tailored and calibrated for the Brazilian context, to delve into the measurement of three distinct dimensions of burnout: exhaustion, cynicism, and efficacy.

The team used data from 558 professors to look at aspects of the work environment and its impact on burnout within Brazilian academia. The findings validate the assertion that understanding the six areas of work life can significantly influence how burnout manifests and evolves within this sector.

Burnout, while commonly used in the vernacular represents a complex syndrome characterized by chronic workplace stress that has not been effectively managed. It can lead to physical, emotional, and mental exhaustion. These problems, in turn, can lead to cynicism and detachment from one’s work as well as a diminished sense of personal accomplishment and efficacy. Chronic burnout has far-reaching implications for those affected having a detrimental impact on well-being and physical health. It can also affect the workplace in which they find themselves leading to problems with productivity in the workplace, affecting those whom the workers serve. And, ultimately society at large and the wider economy, healthcare, education, and public services.

There is an urgent need for organizations to understand the multi-faceted nature of burnout and its connection with the work environment. Proactive measures addressing workload, control, rewards, community, fairness, and values can help create nurturing work environments that mitigate burnout risks. The research offers an invaluable roadmap for organizations to design interventions focused on enhancing employee well-being, and so fostering a healthier, more productive workforce and positively contributing to society more broadly.

Porto, A., Lopes, L.F.D. and da Veiga, C.P. (2023) ‘Areas of worklife as predictors of the burnout syndrome’, Int. J. Behavioural and Healthcare Research, Vol. 9, No. 1, pp.1–17.

20 September 2023

Research pick: Surprising influences on employee intention to quit - "An emerging approach towards intention to quit among IT employees"

Research in the International Journal of Enterprise Network Management reveals unexpected factors that influence an employee’s intentions to quit their job in information technology. The findings challenge the received wisdom and could shed light on the dynamic role of online professional networking and social media profile updates.

There has been much research in employee intention to quit as it can have a significant impact on a wide range of organisations. Conventionally, researchers have focused on factors such as job satisfaction and organizational commitment. These are the standard key indicators that can help predict which employees might be planning to leave and so allow organisations to perhaps manage staff turnover more effectively. However, there was an obvious gap in understanding how online activities, such as updating job profiles on social media platforms and engaging in professional networking sites, affect a person’s intention to leave a job.

Ashish Kumar Biswas of Narsee Monjee Institute of Management Studies (Deemed to be University) in Hyderabad, R. Seethalakshmi of VIT-AP University in Amaravati, and Prabha Mariappan of Veltech University in Chennai, India, have employed a quantitative survey approach involving almost 600 participants and used a structural equation model to test their hypothesis and hopefully help fill this gap in our understanding of employee intention to quit.

The team found that, as one might anticipate, an increased engagement in professional networking sites ultimately influences an individual’s intention to leave their current job and find employment elsewhere. This is not necessarily an obvious factor as many people might daydream about finding a new job and investigate their options, perhaps even uploading their CV (curriculum vitae or résumé) to a job-seekers web site, but a certain level of activity might nudge them towards quitting whereas casual interaction with such websites would not necessarily reinforce the tendency. Online activity of this kind cannot be ignored as an influential factor in affecting an individual’s intentions in much the same way as job satisfaction and level of engagement should not be ignored, especially if they are dwindling. Moreover, the research suggests that employee commitment to a job is dynamic and can fluctuate with changing circumstances.

The team suggests that even highly committed employees might intensify their job search efforts, but this doesn’t necessarily translate to higher turnover rates. In contrast, those members of staff who are not committed to their jobs may choose to stay with their current employer for various reasons, such as a competitive job market or personal obligations, and perhaps because they do not see the opportunities that might exist via social media and job-seekers websites.

Biswas, A.K., Seethalakshmi, R. and Mariappan, P. (2023) ‘An emerging approach towards intention to quit among IT employees’, Int. J. Enterprise Network Management, Vol. 14, No. 3, pp.283–298.

19 September 2023

International Journal of Intelligent Engineering Informatics indexed by Scopus and celebrates Clarivate impact factor

We are pleased to announce that the International Journal of Intelligent Engineering Informatics has been indexed in Elsevier's Scopus database.

Prof. Ahmad Taher Azar, the journal's Editor in Chief, has provided the following statement:

"The indexing of the International Journal of Intelligent Engineering Informatics by Scopus - one of the most prestigious academic databases in the world - represents a significant milestone for our journal, and signifies a major step forward in our mission to disseminate high-quality research to a global audience.

Furthermore, we are delighted to share that IJIEI has achieved an impressive Clarivate impact factor of 6.3. This remarkable recognition underscores the exceptional quality of the research published in our journal and the dedication of our scholarly community.

We would like to express our deepest gratitude to our esteemed Inderscience journal team and board members, whose guidance and expertise have played an instrumental role in shaping the journal's direction. We also extend our heartfelt thanks to our authors, whose insightful contributions have enriched our publication, and to our diligent reviewers for their invaluable support in maintaining our high standards.

This accomplishment is a testament to the collective effort and commitment of our entire community. As we move forward, we remain dedicated to fostering excellence in research and providing a platform for the dissemination of groundbreaking discoveries.

Thank you for your unwavering support and trust in the International Journal of Intelligent Engineering Informatics. We look forward to continuing this remarkable journey together."

Research pick: Understanding cyberthreats in IoT networks - "A comparative framework for cyber threat modelling: case of healthcare and industrial control systems"

Cyberattacks are a major problem for all kinds of organizations with the potential to compromise e-commerce, government, and healthcare. Research in the International Journal of Critical Infrastructures, highlights how Internet of Things (IoT) devices, which are not necessarily as well protected as conventional computers in terms of firewalls, antivirus, and malware protection, can represent an important vulnerability in a system. Such threats extend beyond potential financial loss where they can disrupt infrastructure, government, and even threaten human lives, particularly in healthcare facilities.

Taofeek Mobolarinwa Balogun, and Hayretdin Bahsi of Tallinn University of Technology in Tallinn, Estonia, and Omer F. Keskin and Unal Tatar of the University at Albany, State University of New York, USA offer a comparative framework for modelling the threat of cyber attack on IoT devices and networks.

The team’s new framework can be used to evaluate particular vulnerabilities within an IoT network from the perspective of a putative third-party attacker. The framework can critically assess what factors are involved in determining the level of sophistication needed to carry out a successful cyberattack that causes damage to the system. It is more common not to consider the sophistication of an attacker but simply to harden firewalls and keep antimalware software up to date and hope these are sufficient to protect the system from attack. The factors considered include accessibility, stealth, technical ability, and time. Given enough of each, a sufficiently sophisticated attacker might be able to breach any security. Knowing just how sophisticated an attacker needs to be gives the IoT network manager the opportunity to increase the requisite level of defence.

The team demonstrated that two distinct IoT network types: SCADA (Supervisory Control and Data Acquisition) infrastructure and healthcare IoT infrastructure represent different levels of sophistication. SCADA networks demand greater expertise and sophistication compared with healthcare IoT networks. This suggests that there is a need for a bespoke approach to fortifying different types of critical systems. Understanding this requirement is an important part of allowing decision-makers at national and organizational levels to counter threats proactively without the need to over-extend security on more sophisticated systems that are intrinsically less vulnerable.

Balogun, T.M., Bahsi, H., Keskin, O.F. and Tatar, U. (2023) ‘A comparative framework for cyber threat modelling: case of healthcare and industrial control systems’, Int. J. Critical Infrastructures, Vol. 19, No. 5, pp.405–431.

18 September 2023

Research pick: Hybrid approach recognises human activity - "Hybrid machine learning approach for human activity recognition"

Research in the International Journal of Computer Applications in Technology introduces a hybrid classification algorithm aimed at improving the recognition of human activities using smartphone data. The work could have implications for various fields, including healthcare and personal support.

Ahmad Taher Azar of both the Prince Sultan University in Riyadh, Saudi Arabia and Benha University in Benha, Egypt, hoped to demonstrate a tool for accurately categorizing six distinct human activities: lying, sitting, standing, walking, walking upstairs, and walking downstairs. He used supervised machine learning techniques that merged Random Forest Decision Trees (RFDT) and Neural Networks (NN) to this end.

The hybrid approach was able to classify six human activities with an accuracy rate of 96 per cent. This surpasses the performance of individual machine learning techniques like NN or RFDT and is comparable with the current state-of-the-art methods. However, what sets this algorithm apart is its efficiency in processing. The hybrid algorithm can infer behaviour from smartphone behaviour in just 0.073 seconds compared to the accuracy achieved with a Convolutional Neural Network (CNN), which can take well over 1.5 seconds to do the same job and reach a similar level of accuracy.

Azar’s work emphasises how useful such an efficiency improvement could be in that it would allow real-time processing of smartphone data even on devices without a built-in dedicated computer processing unit for coping with such tasks. This capacity has considerable implications, particularly in scenarios where immediate and accurate activity recognition is essential, such as in healthcare and personal support applications. A particularly timely application would be for patient support and monitoring on so-called “virtual wards” where the patient usually remains in their home and is looked after by healthcare professionals remotely using telemedicine tools for monitoring and advising.

It is worth noting that there remain several challenges for this kind of research. The identification of basic movements such as climbing the stairs or lying down is achievable provided the person has their smartphone about their person at all times. However, there is a need for deeper recognition of emotional state and other factors important to that person’s health and wellbeing.

Azar, A.T. (2023) ‘Hybrid machine learning approach for human activity recognition’, Int. J. Computer Applications in Technology, Vol. 72, No. 3, pp.231–239.

Free open access article available: "Start-up selection criteria for corporate venturing: what matters for incumbents?"

The following paper, "Start-up selection criteria for corporate venturing: what matters for incumbents?" (International Journal of Entrepreneurial Venturing 15(4) 2023), is freely available for download as an open access article.

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

15 September 2023

Research pick: Nostalgia ain’t what it used to be - "Nostalgia and co-creation"

Research in the Journal of Design Research, introduces an innovative approach that combines co-creation and follow-up interviews to use nostalgia effectively in the realm of design and innovation. The objective is to harness nostalgia as a valuable tool for creating meaningful and user-centric experiences, products, and services.

Co-creation is a collaborative tool used by designers who collaborate closely with users during the initial, and sometimes all, stages of the process to understand more clearly the wants and desires of their putative users. Renu Zunjarwad of the Herberger Institute for Design and the Arts at Arizona State University has illustrated the approach by examining the cultural significance of street-food in Mumbai and comparing it with production, distribution, and consumption practices of street-food in Phoenix, Arizona, USA.

Zunjarwad’s research highlights the importance of focusing on the cultural networks surrounding an artefact in design research. She concludes that co-creation is a powerful technique for exploring abstract concepts such as trust, nostalgia, and social anxiety. When effectively implemented, co-creation can provide valuable insights for developing user-centric experiences and products.

The work forms part of a larger project investigating how nostalgia, authenticity, and tradition influence Indian street-food practices in the global context. Key research questions centre on the role of nostalgia in shaping street-food practices in the era of globalization and the contribution of design to these experiences.

While co-creation can be employed at any stage of the design and product development process, it is most effective when used early to identify broader opportunities based on the wants of the potential consumers of the product. However, successful co-creation requires careful planning, collaboration, and facilitation to generate unique value and thence solutions that focus on the customer rather than simply the bottom-line. The benefits can be substantial although the approach requires more time and energy than conventional design processes by virtue of involving more people who are beyond the company’s regular staff.

Zunjarwad adds that co-creation can itself be used in research. “Co-creation is a powerful technique to explore difficult-to-observe concepts like trust, nostalgia, and social anxiety. It can deliver impactful insights to build user-centric experiences, products, and services when implemented well,” she writes.

Zunjarwad, R. (2023) ‘Nostalgia and co-creation’, J. Design Research, Vol. 21, No. 1, pp.62–78.

14 September 2023

Research pick: Benign envy and influencer marketing

In a commercial world dominated by social media, research in the International Journal of Internet Marketing and Advertising reveals a mysterious, invisible force that lurks behind many a purchase decision when social media personalities, or influencers, are involved. This force of “benign envy” could be used to guide marketing and advertising strategies towards the most effective influencers and allow more persuasive campaigns to be developed for a range of products and services.

“Influencers” are typically social media users with a large following, sharing engaging or endearing content, and for whom it might be said they hold sway over their audience’s opinions and behaviour. Influencers commonly have expertise in a particular niche and are sufficiently charismatic and authentic in that niche, whether fashion, beauty, fitness, travel, technology, or other areas of lifestyle, that they can “nudge” their audience in a particular direction.

Xiaofan Yue, Nawal Hanim Abdullah, Mass Hareeza Ali, and Raja Nerina Raja Yusof of the School of Business and Economics at the Universiti Putra Malaysia, in Selangor, have used well-established social comparison theory to investigate the connection between benign envy and an audience’s desire to purchase products promoted by influencers. Fundamentally, consumers who identify with a particular influencer and perceive themselves as being a peer or otherwise similar to that influencer will be more inclined to follow that influencer’s recommendations.

To maximize the effectiveness of their influencer marketing, companies need to select carefully those influencers they wish to showcase their products and services to that these align with the influencer’s own preferences, values, and way of life. Moreover, a campaign must also match with the benign envy felt by the influencer’s audience.

Cynically, perhaps, the consumer must feel that buying the product will somehow elevate them so that they sit more squarely alongside the influencer they follow. Influencers often embody the ideal self-image of their audience and the lifestyle and status they crave. Consumers following influencer recommendations will somehow imagine they are closing in on this ideal by making the right purchases guided by their influencer, regardless of how real that ideal actually is. Indeed, as with many kinds of aspirational endeavour of this kind, a single purchase may well make the consumer feel better, but its impact is often short-lived, and there’s always another recommendation from their influence to envy.

Yue, X., Abdullah, N.H., Ali, M.H. and Yusof, R.N.R. (2023) ‘The role of audiences’ benign envy in influencer marketing’, Int. J. Internet Marketing and Advertising, Vol. 19, Nos. 3/4, pp.215–230.

Special issue published: "Knowledge Management in the Age of Digital Transformation"

International Journal of Knowledge-Based Development 13(2/3/4) 2023

  • Research on the cultivation of innovative entrepreneurial talents for digital transformation of enterprises based on association rule algorithm
  • Research on the analysis of regional economic sustainable development trend based on decision tree classification prediction
  • A study on the evaluation of humanistic literacy cultivation model of University English teaching based on MTCNN
  • Modern training model of apprenticeship based on multi-objective optimisation algorithm for sustainable development of school-enterprise cooperation
  • The impact of technology optimisation incorporating machine learning algorithms on the financial sustainability of new energy companies
  • Research on the application of MOSL information retrieval method in educational resource management
  • Research on the application of improved BPNN algorithm in music education quality evaluation algorithm
  • The monopoly dilemma of digital platform economy from the perspective of economic law and the influence of innovation incentive mechanism
  • Research on talent development for empowering sustainable development of night economy
  • Research on dynamic evaluation method of periodicals from the perspective of time
  • The use of open design in the fab lab ecosystems: lessons learnt for knowledge management
  • Optimisation strategy of college English teaching during the epidemic period: taking MOOC resources expressed by interactive features as an example
  • Analysis on the collection of paper book resources in primary and secondary school libraries in Pukou District, Nanjing
  • Research and development of e-commerce ERP system based on artificial intelligence technology
  • The promotion of the concept of sustainable development to the reform of enterprise human resource management
  • A random forest algorithm based customer demand forecasting model for sports enterprises in the real economy
  • A study on career planning and development decisions of university students based on improved association rule algorithm
  • Construction of a personalised online learning resource recommendation model based on self-adaptation
  • Evaluation analysis on operational performance of public gyms and stadiums: a case study of Shantou city in China
  • Research on the design of an intelligent platform for marine economic management based on genetic algorithm
  • A study on the application of RBF neural network in the estimation of English language and literature teaching quality

13 September 2023

Free sample articles newly available from International Journal of Agricultural Resources, Governance and Ecology

The following sample articles from the International Journal of Agricultural Resources, Governance and Ecology are now available here for free:
  • Understanding consumer patterns on meat and dairy products derived from animals fed with locally produced feed
  • Perceptions of environmental benefits from sustainable food consumption patterns: evidence from the Generations Z and Y cohort
  • A niche strategy for geographical indication products, by valorising local resources: the Greek cheese Ladotyri Mytilinis
  • Enhancing wine tourism experience through developing wine tourist typology and providing complementary activities
  • Indicators for sustainable tourism management: a case study using AHP and Delphi to evaluate mountainous areas in Greece
  • A comprehensive conceptualisation framework for assessing metropolitan peri-urban agriculture
  • The effects of adopting sustainable farming practices on smallholders
  • Greece on a sustainable future: reviewing constraints and practices regarding forest and water resources management, flora and fauna biodiversity
  • The effect of seawater physical parameters in bivalve farming: could systematic monitoring and early warning prevent negative impacts? A review focused on Vistonikos Gulf, North Aegean Sea
  • Micrometeorology of the agricultural terraces and stone walls and impacts on biodiversity in the Mediterranean landscape of Greece

Research pick: Crowd deliveries - "Exploratory analysis of the viability of crowdsourced delivery in Egypt: developing a peer-to-peer platform"

The internet has opened up countless business opportunities that were once the preserve of corporate entities, allowing individuals and small groups to offer goods and services as well as to share resources. Often an “app” is involved that provides connectivity between individuals that would otherwise not meet or encounter each other. Two areas that spring to mind are car-sharing, taxi-type services and holiday and short-term lets of rooms and buildings, the most well-known examples in those areas are perhaps AirBnB and Uber.

An area that is emergent but not yet mature is “last-mile” deliveries where individuals can take on the packages and parcels couriered to a depot and deliver them to their neighbours for a small fee rather than relying on conventional couriers to fulfil the complete delivery. Such peer-to-peer (P2P) crowdsourced delivery services are gaining traction worldwide and offer a way for the big couriers to cut out the inefficient last part of their logistics and offload it into locals where it might bolster a growing micro-economy.

Research in the International Journal of Logistics Systems and Management has looked at how well the implementation of P2P crowdsourced delivery is going in Egypt. The findings shed light on the potential benefits and the remaining challenges.

Karim Soliman of the College of International Transport and Logistics at the Arab Academy for Science, Technology, and Maritime Transport in Cairo, employed a deductive approach and quantitative research methods to gauge public sentiment towards this innovative delivery model. Soliman writes that encouragingly, respondents of various ages and education were already familiar with crowdsourcing, even if they were not familiar with the term itself.

Soliman notes that in Egypt P2P delivery services are being used within the same city, as one might expect. Users are less keen to use such services between cities or internationally, although one might posit that this would defeat the object of using “last-mile” P2P delivery and would represent a much larger-scale crowdsourced delivery service. Such a service may well emerge if it has not already been in place for many years in various forms. The research also suggests that there is a need to develop professional guidelines for those offering P2P delivery to enhance trust and confidentiality and also to address the matter of insurance.

Soliman, K. (2023) ‘Exploratory analysis of the viability of crowdsourced delivery in Egypt: developing a peer-to-peer platform’, Int. J. Logistics Systems and Management, Vol. 45, No. 4, pp.447–470.

Special issue published: "Internet Marketing and Advertising: A Tribute to Editor Emerita Professor Hsiuju Rebecca Yen"

International Journal of Internet Marketing and Advertising 19(3/4) 2023

  • The role of audiences' benign envy in influencer marketing
  • The influence of typical versus atypical ads on sharing intention
  • Understanding the virtual experiential value and its effect on travel intention
  • Antecedents of brand love leading to purchase intention towards refurbished video game consoles
  • Can personalised prosocial ads be harnessed for brand equity enhancement?
  • Social media marketing and consumer behaviour in the new normal: the relationship between content and interaction
  • Evaluating the impact of emotional advertisement on customers and its relationship with brand value
  • What if brand equity was alive? Proposal of a dynamic measure through social networks

First issue: International Journal of Electronic Trade (free sample issue available)

 

The International Journal of Electronic Trade fosters multidisciplinary discussion and research on electronic commerce and trade for businesses, consumers, governments and society, in local and global contexts. Given the extraordinary interest in services for the support of fast-growing world trade and for the design, implementation and management of e-commerce/e-trade services, IJETrade concentrates on the proposition of sound theoretical models, methodologies and practices, aiming to provide consultation and promotion of the discipline in an era where the traditional agenda of electronic commerce has been refocused.

There is a free download of the papers from this first issue.

12 September 2023

Research pick: A multi-faceted approach to improve Alzheimer’s diagnosis - "An overview of early detection of Alzheimer’s disease"

A review in the International Journal of Medical Engineering and Informatics has surveyed current early detection methods for Alzheimer’s disease, a prevalent neurodegenerative condition affecting millions of people worldwide. The work looks into the progression, causes, and diagnosis of Alzheimer’s and emphasizes that a multi-modal approach coupled with advanced machine learning techniques could lead to much earlier diagnosis for many patients. Early diagnosis offers better options for planning and ongoing care. As the world population continues to age, the burden of Alzheimer’s disease looms larger than ever.

Alzheimer’s disease is a neurodegenerative disorder characterized by cognitive impairment and memory loss. Its precise cause is not clear although there are characteristic changes in the brain that are always present and usually observed post mortem. The disease thus presents a significant challenge in its early detection when behavioural symptoms might be mild or may well be similar to those symptoms seen in a range of other conditions. There is no cure for this debilitating and ultimately lethal condition but the importance of detecting it in its early stages cannot be overstated given the devastating impact it has on the patient and those caring for them. Early diagnosis not only allows individuals to communicate their needs to loved ones but also empowers them to make crucial decisions regarding finances and legal matters that will come into play as the disease progresses.

While a definitive scientific diagnosis is really only possible post mortem, a combination of observations of behaviour as well as brain scans can give the clinicians a near-certain diagnosis once symptoms are established. C.R. Nagarathna and Kusuma Mohanchandra of the Dayananda Sagar Academy of Technology and Management in Bangalore, India, suggest from their review, that a combination of techniques will offer a more reliable diagnosis than any single method. They add that utilising machine learning tools could now enhance the data from various types of brain scan and couple those results with the observations made by an expert diagnostician in the field.

Alzheimer’s is a complex disease with a range of putative causes and manifestations. Indeed, the conventional wisdom regarding the role of errant proteins in the brain has not yet been settled. One scientific camp sees protein fragments as causing damage to the brain whereas the other camp suggests the errant proteins are a symptom of an underlying disease process and not causative agents themselves. Whatever the aetiology, early diagnosis is key to improving life for patients and their carers.

Early diagnosis also offers greater hope as new therapies begin to emerge from the laboratory. An earlier intervention will almost always be preferred with the potential to slow degeneration and mitigate symptoms. There is always the hope that in the distant future a therapeutic will be designed that might even halt or reverse the disease.

Nagarathna, C.R. and Mohanchandra, K. (2023) ‘An overview of early detection of Alzheimer’s disease’, Int. J. Medical Engineering and Informatics, Vol. 15, No. 5, pp.442–457.

Prof. Hua Song appointed as new Editor in Chief of International Journal of Renewable Energy Technology

Prof. Hua Song from the University of Calgary in Canada has been appointed to take over editorship of the International Journal of Renewable Energy Technology.

Themed issue published: "Financial System Stability"

Global Business and Economics Review 29(3) 2023

  • Non-performing loans in Central-East European countries: investigation of macroeconomic, policy, and global risk determinants
  • The announcements of unconventional monetary policies and sovereign bond liquidity premia
  • Financial innovation as a response to crisis - the case of catastrophe bonds
  • Impact of social progress on bank stability
  • Nexus between credit default swap spreads and foreign exchange rates: evidence from BRICST, E7, MINT and Fragile Five countries

11 September 2023

Research pick: Unhooking phishing threats - "The detection of phishing attempts in communications systems"

Research in the International Journal of Electronic Security and Digital Forensics offers a new approach to combating phishing attacks in order to enhance online security and reduce cybercrime against individuals and businesses and attacks on governments so improving national security.

Phishing is a deceptive technique in which a web page, email or message is used to impersonate a trusted entity and to deceive individuals into clicking malicious links, revealing sensitive information such as usernames and passwords, bank details, and other such details. It has caused significant harm to countless victims, resulting in compromised data, identity theft, and even national security breaches.

Those propagating phishing attacks can use very sophisticated methods to make a message or page look authentic and even highly skilled and security-aware users are sometimes duped into accessing a malicious resource. Such resources might steal information directly as the user enters it or lead to them unwittingly downloading malware or another payload that then compromises their computer system, whether a personal computer or a network. Computer security systems are constantly challenged by the development of more sophisticated phishing attacks which may also exploit social engineering in subtle ways as well as malware to dupe users.

T. Kalaichelvi of the Panimalar Engineering College in Chennai, India, and colleagues have proposed a new threat-modelling technique that can pinpoint and eliminate vulnerabilities that make a computer system more susceptible to a phishing attack. The team’s approach uses the STRIDE threat design methodology, a potent tool that demonstrates an impressive 96.3% accuracy rate in detecting phishing web addresses. The work offers a real solution for individuals and organizations alike to defeat the phishing threat.

The implications of the research extend beyond individual victims and encompass businesses and the world of the Internet of Things. For cybersecurity experts, developers, and IoT device manufacturers, the proposed threat modelling technique could help in securing vulnerabilities proactively at the design stage rather than reactively when vulnerabilities have been identified and exploited. Fundamentally, a multi-faceted anti-phishing approach is needed that takes into account both the technological vulnerabilities and the human factor.

Kalaichelvi, T., Mane, S.B., Dhanalakshmi, K.M. and Prasad, S.N. (2023) ‘The detection of phishing attempts in communications systems’, Int. J. Electronic Security and Digital Forensics, Vol. 15, No. 5, pp.541–553.

Dr. Ioannis Lagoudis appointed as new Editor in Chief of International Journal of Decision Sciences, Risk and Management

Dr. Ioannis Lagoudis from the University of Piraeus in Greece has been appointed to take over editorship of the International Journal of Decision Sciences, Risk and Management.

8 September 2023

Research pick: Global effort needed to combat corruption and recover stolen assets - "Recovery of stolen assets from abroad"

Research in the International Journal of Electronic Security and Digital Forensics highlights the need for urgency in tackling corruption crime and the need to recover stolen assets particularly those taken from developing and transitional economies.

The issue has far-reaching economic implications with such cross-border crime amounting to trillions of dollars every year. Such a problem needs a global solution as it erodes governance and justice as well as hampering civil, political, and socio-economic rights. The researchers suggest that preventive measures are desperately needed as well as international cooperation in mitigating the devastating impact of corruption on economies worldwide.

Rakhmatulla Balashov and Oxana Filipets Institute of Postgraduate Education, Law Enforcement Academy in Kosshy, and Svetlana Baimoldina of the L.N. Gumilyov Eurasian National University, in Astana, Republic of Kazakhstan shed light on the dim problem of corruption and its devastating economic consequences. The team used analytical and comparative legal methods, to examine the challenges associated with repatriating stolen assets from abroad and identified critical gaps in asset recovery legislation.

The World Bank reports that the illicit flow of money resulting from crime, corruption, and tax evasion could be about US $1 trillion but could be as high as $6 trillion per annum. Such a huge financial drain affects developing countries and nations in transition disproportionately when compared to the impact of such criminal activity on developed nations. It can even threaten their economic stability and growth as well as their prospects in terms of fulfilling the transition and development prospects.

There is now a pressing need for law enforcement agencies, business entities, financial institutions in particular, auditors, and arbitration experts to work together to counter corruption. The Stolen Asset Recovery (StAR) initiative at the United Nations could enhance efforts to tackle corruption before it takes root.

However, law enforcement agencies in one country have limited capacity to obtain evidence and information from another, especially when facing corruption at a high level, but also simply because of the local banking and commercial secrecy laws in various jurisdictions.

A tough economic and legal framework is needed that would bring different entities together allowing them to share information and collaborate without compromise. The team’s detailed proposals hold promise for the work of law enforcement agencies responsible for combating illegal property seizures and for private companies engaged in financial investigations related to such crimes.

Balashov, R., Filipets, O. and Baimoldina, S. (2023) ‘Recovery of stolen assets from abroad’, Int. J. Electronic Security and Digital Forensics, Vol. 15, No. 5, pp.456–467.

7 September 2023

Research pick: Data mining the dangers of self-medication - "Discovery of dangerous self-medication methods with patients, by using social network mining"

Self-medication for minor ailments and illnesses is common. Often the remedies people turn to are simple over-the-counter pharmacy medications or products available in other outlets that may or may not have proven physiological activity. There is a notion that self-medication may cause more harm than good, if a person with significant symptoms of disease opts for a shop-bought remedy rather than seeking professional medical advice. Ultimately, it might lead to a problem essentially being untreated and in the worst-case scenario could lead to a degradation of a person’s health or even death.

Research in the International Journal of Business Intelligence and Data Mining has used online social network data mining to investigate the phenomenon of dangerous self-medication.

Reza Samizadeh, Mahsa Jadidi, and Sahar Vatankhah of Alzahra University, Morteza Khavanin Zadeh of the School of Medicine at Iran University of Medical Sciences Alzahra University, Tehran, Iran, and Mohammad Rezapour of the Iranian Ministry of Science, Research and Technology, have looked at social media updates on metabolic disease, obesity, and diabetes. Their data classification using text-mining algorithms and naive Bayes analysis was more accurate than a support vector machine approach, they explain.

The results show that lots of people are using prescription anti-obesity drugs and recommending them to each other. Many of these drugs have only a modest impact on obesity but worryingly can have serious side-effects or contraindications with other medicines. Samizadeh and colleagues point out that these products should not be used without medical supervision and yet their analysis of social media updates suggests that people are buying and using the drug outside the safety net of a doctor’s advice.

The team suggests that there is an urgent need to raise public awareness of the risks of taking medical advice from non-experts on social media where all kinds of distortions of the science can so easily be passed off as expertise. Where this might be said in the realm of diabetes, metabolic disease, and obesity, so too it is likely to be occurring in discussions of self-medication for heart disease, kidney disease, and cancer. Indeed, when a world leader can offer truly dangerous advice regarding treatments for a pandemic disease and have people believe them, it is no stretch of the imagination to suggest that there are thousands if not millions of people taking drugs for a wide range of potentially lethal illnesses without ever having sought professional medical advice.

Samizadeh, R., Zadeh, M.K., Jadidi, M., Rezapour, M. and Vatankhah, S. (2023) ‘Discovery of dangerous self-medication methods with patients, by using social network mining’, Int. J. Business Intelligence and Data Mining, Vol. 23, No. 3, pp.277–287.

6 September 2023

Research pick: Fraud vulnerability – the charity case - "Governance and the prevention of fraud in charities in England and Wales"

Research in the International Journal of Business Governance and Ethics has looked at the issue of fraud within charities operating in England and Wales. The study offers several insights into the sector’s susceptibility to fraudulent activities. The work conducted by analyzing data from the annual reports and financial statements of 42 charities with fraud incidents and 42 without, aims to provide a tailored solution to addressing this ongoing problem across the not-for-profit sector.

Charities in England and Wales play a pivotal role in both society and the economy as advocates, fundraisers and supports of a diverse range of worthy causes from medical research and healthcare support to animal welfare, environmental protection. It is important to address and mitigate the risks they face, including fraud and financial misconduct, to ensure donations reach their targets and those worthy causes are supported as fully as they can be by the organisation.

Saffet Aras Uygur and Christopher J. Napier of the School of Business and Management at Royal Holloway University of London in Egham, Surrey, UK, demonstrated that, generally, charities with smaller boards, signifying a closely-knit governance environment, were at greater risk of succumbing to fraud. In contrast, those organizations with larger boards had more effective oversight and so less chance of falling victim to fraud. The team also found that those charities with limited or no grant funding are at greater risk of fraud. This once again demonstrates the need for ongoing monitoring and due diligence by long-term donors, who can act as a deterrent against fraudulent behaviour.

The findings emphasise the critical role that governance plays in safeguarding charitable assets and maintaining public trust. The team points out that public data on charities that have been shut down is not available and so the analysis is limited to active charities where the information is publicly available.

One of the main conclusions from the study is that charities should be encouraged to establish larger boards in order to enhance governance and reduce the risk of fraudulent activities and maintain the integrity of charitable organizations in England and Wales.

Uygur, S.A. and Napier, C.J. (2023) ‘Governance and the prevention of fraud in charities in England and Wales’, Int. J. Business Governance and Ethics, Vol. 17, No. 5, pp.495–524.

Prof. Saša Mladenović appointed as new Editor in Chief of International Journal of Knowledge and Learning

Prof. Saša Mladenović from the University of Split in Croatia has been appointed to take over editorship of the International Journal of Knowledge and Learning.

5 September 2023

Free sample articles newly available from Journal of Design Research

The following sample articles from the Journal of Design Research are now available here for free:
  • A study on colour harmony and consumer perception of shampoo packages displayed on screen
  • Delving into menstrual experiences of women in the public space through mobile diaries
  • The challenges of parachute design: the development of a low cost, fit for purpose trauma pack for use in Namibia

Research pick: Cyber security readiness - "An empirical investigation into organisation cyber security readiness from the IT employee and manager perspectives"

In a world grappling with escalating cyber threats, research in the journal Electronic Government sheds light on the essential elements for enhancing cyber security readiness. As governments, the private sector, and individuals confront this growing menace, this work looks at five critical factors affecting how well an organization manages its cyber security readiness: employee expertise, awareness, organizational investment, compliance with standards, and risk assessment.

Zainab AlMeraj, Ali K. Alenezi, and Paul D. Manuel of the Information Science Department at Kuwait University in Al-Shadadiya, Kuwait, offer several important points for organisations to consider. Foremost is the importance of expertise within the organisation, compliance with standards, and risk assessment. Failures within any of these areas will inevitably compromise the organisation’s readiness when it comes to cyber security. These insights underscore the need for any organization to prioritize building expertise and awareness into its workforce, adhering to established cyber security standards, and consistently evaluating risks to maintain their cyber security at a sufficiently high level.

The study also reveals an inevitable correlation between expertise and investment. Organizations that make prudent investments in cyber security measures tend to have a workforce with greater prowess in the domain of digital defence, those that don’t tend to be more vulnerable to cyber attack. Even awareness, if not actual expertise is closely linked with investment, if the requisite training, conferences, workshops, and effective communication are in place, then the organisation’s defences will be stronger as those staff outside the IT department and the non-cyber experts can gain the requisite knowledge to understand what threats the organisation might face, how to deal with them or who to turn to for expert advice within the organisation if they cannot manage a given threat themselves. All of those, in turn, improves compliance with cyber security standards, which means stronger defences.

The findings have implications for corporate entities, national authorities, and individuals seeking to improve their cyber security readiness. Organizations and individuals alike must commit resources to cyber security measures and garner expertise.

A proactive approach is crucial to security. After all, bolting the stable door after the horse has bolted is not best practice in equine management. Securing the digital landscape, safeguarding governments, businesses, and individuals means ensuring everyone knows to ensure those doors are bolted, to not let third parties access the stables and to rein in errant behaviour within and external to the organisation.

AlMeraj, Z., Alenezi, A.K. and Manuel, P.D. (2023) ‘An empirical investigation into organisation cyber security readiness from the IT employee and manager perspectives’, Electronic Government, Vol. 19, No. 5, pp.539–559.

Free open access article available: "Using International Standard No. 530 to improve information in auditors' reports"

The following paper, "Using International Standard No. 530 to improve information in auditors' reports" (International Journal of Economics and Business Research 26(3) 2023), is freely available for download as an open access article.

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

4 September 2023

Free open access article available: "Dividend policy as a mediator between capital structure and profitability in manufacturing companies listed on ASE (2010-2021)"

The following paper, "Dividend policy as a mediator between capital structure and profitability in manufacturing companies listed on ASE (2010-2021)" (International Journal of Economics and Business Research 26(3) 2023), is freely available for download as an open access article.

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


Special issue published: "Recent Advances on Learning-Based Control – Theory and Application"

International Journal of Modelling, Identification and Control 43(3) 2023

  • Jaya algorithm-based optimal control for inverted pendulum
  • PI-based hybrid control for load-stress management of a fuel cell-based hybrid power system
  • Experimental validation of an output feedback controller based on an integral and adaptive backstepping technique for a fuel-cell power system
  • Impacts of countermeasures on driving performance through drivers' attention in rural curves: a driving simulation study
  • A survey on modern trends of low power long range network applied on IoT applications
  • Research on exchange rate forecast based on MLR-ELM model
  • Establishing a calculus learning application

Research pick: Squirrelling away nutritional information - "Food recognition using enhanced squirrel search optimisation algorithm and convolutional neural network"

Researchers in India have developed a search algorithm based on the strategy used by squirrels to find their cached nuts to automate food identification. Details are described in the International Journal of Data Analysis Techniques and Strategies. The algorithm could have applications in the food industry, hospitality and even in a dietary healthcare environment.

Megha Chopra and Archana Purwar of the Department of Computer Science Engineering and Information Technology at Jaypee Institute of Information Technology in Noida, explain how a system to identify and assess food and tie the item to known nutritional profiles for that food could have many uses in a range of areas.

The best recipe for food recognition begins with the classification of food items from images. This classification process is initiated by segmenting the food images, a standard step in image analysis. Conventionally, thresholding is used in segmentation, however, Chorpa and Purwar have taken a novel approach. They use a Squirrel Search Algorithm (SSA) to optimize multi-level thresholding. This SSA-based optimization is designed to improve the accuracy of food image recognition. A Convolutional Neural Network (CNN), a powerful artificial intelligence tool, then classifies the food in the images.

The team reports significant improvements on earlier approaches to image segmentation and food item classification, achieving an accuracy rate of well over 80 per cent in tests; specifically up to 83.1%.

Accurate food recognition is a pivotal component of automatic dietary assessment. With improved segmentation and classification, tools could be developed for companies, healthcare providers, and individuals to monitor “calorie” intake, and nutritional value, and make better informed dietary choices.

The same tools might also embed recognition and flagging systems for allergenic or problematic foods in a dish and so help protect individuals from inadvertently eating something that might lead to an allergic response or to which they have an intolerance.

In summary, this research presents a novel approach to automated food recognition, offering not only a technical advancement on earlier approaches but also promising possibilities for improved dietary assessment and personalized dietary management.

Chopra, M. and Purwar, A. (2023) ‘Food recognition using enhanced squirrel search optimisation algorithm and convolutional neural network’, Int. J. Data Analysis Techniques and Strategies, Vol. 15, No. 3, pp.238–254.

1 September 2023

Research pick: Detecting depression on social media - "Depression detection using semantic representation based semi-supervised deep learning"

Research published in the International Journal of Data Analysis Techniques and Strategies demonstrates how a semi-supervised deep learning model can be used to identify signs of depression in online social media users. Given that mental health is high on the modern medical agenda, the development of methods that can help spot early symptoms associated with mental health problems could be important in offering users an intervention sooner, rather than later.

Gaurav Kumar Gupta and Dilip Kumar Sharma of the Department of Computer Engineering and Applications at GLA University in Mathura, India, point out that identifying those at risk of mental health problems is an important challenge in the digital age. Many people spend much of their time online, working remotely, or otherwise isolated to some extent from face-to-face interactions and even those who don’t can often mask problems, so diagnosis can be difficult. The challenge of pinpointing signs of depression amidst the vast sea of social media data could offer insight into mental health.

The team’s approach utilised a detailed analysis of demographic and content-related characteristics, including both structural aspects and the semantic nuances of the data in social media updates. The system with its deep auto-encoder model can then extract statements and patterns of words associated with or characteristic of symptoms of depression. The insights available can be extended by allowing the algorithm to access a person’s profile once an indication of updates associated with depression have been identified. Thus, by combining tweet depression scores, profile attributes, and hybrid knowledge, the system classifies users as either depressed or non-depressed.

The research demonstrates an improved accuracy over other methods by more than 11 per cent. This could thus open up the possibility of developing the approach as part of a multimodal technique for identifying depression from other forms of online content, such as facial expressions, images, and video. How the diagnosis is used is then a matter for the individual and doctor.

Gupta, G.K. and Sharma, D.K. (2023) ‘Depression detection using semantic representation based semi-supervised deep learning’, Int. J. Data Analysis Techniques and Strategies, Vol. 15, No. 3, pp.217–237