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Advances in machine learning (ML) have made significant contributions to the development of intelligent and autonomous systems leading to concerns about resilience of such systems against cyberattacks. This paper aims to report findings from a quantitative analysis of literature within ML security to assess current research trends in ML security.

The study focuses on statistical analysis of literature published between 2000 and 2023, providing quantitative research contributions targeting authors, countries and interdisciplinary studies of organizations. This paper reports existing surveys and a comparison of publications of attacks on ML and its in-demand security. Furthermore, an in-depth study of keywords, citations and collaboration is presented to facilitate deeper analysis of this literature.

Trends identified between 2021 and 2022 highlight an increase in focus on adversarial ML – 40\% more publications compared to 2020–2022 with more than 90\% publications in journals. This paper has also identified trends with respect to citations, keywords analysis, annual publications, co-author citations and geographical collaboration highlighting China and the USA as the countries with highest publications count and Biggio B. as the researcher with collaborative strength of 143 co-authors which highlight significant pollination of ideas and knowledge. Keyword analysis highlighted deep learning and computer vision as the most common domains for adversarial attacks due to the potential to perturb images whilst being challenging to identify issues in deep learning because of complex architecture.

The study presented in this paper identifies research trends, author contributions and open research challenges that can facilitate further research in this domain.

Alongside the remarkable evolution of cellular communication to 5G networks, significant security and privacy challenges have risen which can affect the widespread adoption of advanced communication technologies. In this context, the purpose of this paper is to examine research within security and privacy for 5G-based systems highlighting contributions made by the research community and identify research trends within different subdomains of 5G security where open issues still exist.

This paper uses a bibliographic approach to review the state-of-the-art in the field of 5G security and is the pioneering effort to investigate 5G security research using this methodology. Specifically, the paper presents a quantitative description of the existing contributions in terms of authors, organizations, and countries. It then presents detailed keyword and co-citation analysis that shows the quantity and pattern of research work in different subfields. Finally, 5G security areas are identified having open challenges for future research work.

The study shows that China leads the world in terms of published research in the field of 5G security with USA and India ranked second and third respectively. Xidian University, China is ranked highest for number of publications and h-index followed by University Oulu and AALTO University Finland. IEEE Access, Sensors and IEEE Internet of Things Journal are the top publication venues in the field of 5G security. Using VOSViewer aided analysis with respect to productivity, research areas and keywords, the authors have identified research trends in 5G security among scientific community whilst highlighting specific challenges which require further efforts.

Existing studies have focused on surveys covering state-of-the art research in secure 5G network (Zhang et al. 2019), physical layer security (Wu et al., 2018), security and privacy of 5G technologies (Khan et al., 2020) and security and privacy challenges when 5G is used in IoT (Sicari et al. 2020). However, our research has revealed no existing bibliometric studies in this area and therefore, to our best knowledge, this paper represents pioneering such effort for security within 5G.

Post-harvest losses are major problems faced by farmers and this is due to their poor access to credit considered as a low rate of financial inclusion. This paper aims at analysing the relationship between financial inclusion and post-harvest losses in the West African Economic and Monetary Union (WAEMU).

The study engaged data from the Food and Agriculture Organisation [FAO] for post-harvest losses. Also, it engaged data from Banque Centrale des Etats de l’Afrique de l’Ouest [BCEAO] for financial inclusion over the period 2000 to 2020. The study applied the Instrumental Variable Two-Stage Least Squares (IV-2SLS) and Generalised Method of Moments (GMM) to test the robustness of the results.

The results show that financial inclusion reduces post-harvest losses by 1.2%. Therefore, given this result, policies to improve farmers’ access to credit by increasing the rate of financial inclusion, is a necessary condition for the reduction of post-harvest losses.

Social implication of this study is that it contributes to the policy debate on the enhancement of food security by reducing post-harvest losses. The reduction in post-harvest losses and food security, will improve the welfare and livelihood of the society. This aims for the actualization of sustainable development goal of food and nutrition security (SDG-2).

The findings imply that efforts by governments and policymakers to improve farmers’ access to credit by increasing the rate of financial inclusion would reduce post-harvest losses in West African countries that are members of the WAEMU. Also, investment in education, ICT and building warehouse for farmers will help in reducing post-harvest losses. It implies that educated farmers have more opportunities to be financially inclusive than those who are not educated.

The aim of the case is to understand the performance management system of academic staff members in higher education institution. Furthermore, students would be able to compare two performance appraisal policies and analyze which one could better serve the purpose considering the context of educational institution. The case would help students understand the performance dynamics of the academic staff and how the performance management system in place affect employees.

The case study presents a troubling situation faced by Asim Khan, a newly appointed director of the Midland University, regarding retention of the faculty. Upon joining Midland, Khan noticed a trend that faculty who was serving the university from many years are leaving the organization one after the other. He decided to revise the faculty policies that he believed was the root cause of faculty turnover in Midland. He formulated a committee to review the existing policies and revamp if required. The committee identified some flaws in the faculty appraisal policy in place at that time and formulated a new one with the consultation of top management. However, when the new appraisal policy was presented to the faculty, few faculty members raised their eyes over a few aspects of the proposed policy. As the new academic year was approaching, Khan had to make an important decision after critically analyzing the pros and cons of both policies that which of the two should be followed for the upcoming year’s appraisals.

The case can potentially be used in the post-graduate courses in MBA programs offering a major in human resource management.

Teaching notes are available for educators only.

CSS 6: Human resource management.

Drawing an inference from institutional theory and dynamic capabilities view, this study empirically examined the impact of three institutional dimensions (regulative, normative and cognitive) and green entrepreneurial orientation (GEO) on a business firm’s performance. In addition, the moderating effect of dynamic capabilities on the relationship between GEO and firm performance was also explored.

The data were collected from 527 information technology (IT) firms in Pakistan using paper–pencil questionnaires, and the hypotheses were tested using structural equation modeling.

The findings showed that the regulative and normative institutional dimensions enhance GEO and firm performance in the selected developing country. However, the cognitive institutional dimension fails to report any substantial influence on GEO and firm performance. The findings raised concerns about lower individual accountability as well as the promotion of green practices and firm performance. In addition, dynamic capabilities positively moderate the GEO influence on firm performance.

With the interplay of institutional dimensions, GEO (as mediator) and dynamic capabilities (as moderator), this study developed and tested a unique framework to understand their influence on firm performance. Specifically, we extended the literature by giving evidence that among the three institutional dimensions, only regulative and normative are considered more important because of their direct and indirect (through GEO) positive effect on firm performance. In contrast, the cognitive institutional dimension failed to report any significant direct or indirect impact on firm performance in our study.

This paper aims to optimize bioconvective heat transfer for magnetohydrodynamics Eyring–Powell nanofluids containing motile microorganisms with variable viscosity and porous media in ciliated microchannels.

The flow problem is first modeled in the two-dimensional frame and then simplified under low Reynolds number and long wavelength approximations. The numerical method is used to examine the impact of thermal radiation, temperature-dependent viscosity, mixed convection, magnetic fields, Ohmic heating and porous media for velocity, temperature, concentration and motile microorganisms. Graphical results are presented to observe the impact of physical parameters on pressure rise, pressure gradient and streamlines.

It is observed that the temperature of nanofluid decreases with higher values of the viscosity parameter. It is absolutely in accordance with the physical expectation as the radiation parameter increases, the heat transfer rate at the boundary decreases. Nanoparticle concentration increases by increasing the values of bioconvection Rayleigh number. The density of motile microorganisms decreases when bioconvection Peclet number is increased. The velocity of the nanofluid decreases with higher value of Darcy number. With increase in the value of bioconvection parameter, the flow of nanofluid is increased.

The bioconvective peristaltic movement of magnetohydrodynamic nanofluid in ciliated media is proposed. The non-Newtonian behavior of the fluid is described by using an Eyring–Powell fluid model.

This paper aims to how ethical leadership influences innovative behavior and employee motivation, focusing on the mediating role of corporate social responsibility within the framework of social exchange theory (SET).

Data were collected from 341 bank employees using convenience sampling, and hypotheses were rigorously tested with SPSS 22.

The results highlight the significant impact of ethical leadership on enhancing both employee innovation and motivation, with corporate social responsibility initiatives playing a crucial mediating role.

Drawing on SET, the research illustrates how ethical leadership fosters a reciprocal exchange environment, leading to deeper employee engagement and innovation driven by positive corporate social responsibility practices. By advancing theoretical understanding and providing practical insights, this study offers valuable guidance for organizations aiming to leverage ethical leadership and corporate social responsibility to cultivate a workforce that is both innovative and motivated.

This study, based on the conservation of resource theory, aims to investigate the negative impacts of abusive supervision on helping behaviors among employees by examining the mediating role of rumination and the moderating role of psychological flexibility.

A total sample of 282 reliable questionnaires are collected from 282 employees working in education and banking sectors of Pakistan. SPSS and AMOS are used for data analysis of the proposed model.

The findings reveal that rumination mediates the relationship between abusive supervision and employees’ helping behavior. In addition, the results show that higher levels of psychological flexibility negatively moderate the relationship between abusive supervision and employees’ helping behaviors through mediation.

This study elucidates how and when abusive supervision deters helping behavior among employees and provides useful guidelines for banking/university’s administration to understand harmful consequences of abusive supervision and take appropriate policy measures to lessen their harmful effects upon employees.

By proposing a moderated mediation model, this study discovers rumination as a key mediator that links abusive supervision to employees’ helping behaviors and identifies the role of psychological flexibility in diminishing the negative impacts of abusive supervision upon employees’ helping behaviors through rumination.

The purpose of this study is to examine the drivers and barriers of travel behavior associated with tourist behavior during/post-COVID-19 pandemic to provide a knowledge base as well as an agenda for future research.

The authors utilized the Systematic Literature Review (SLR) technique for searching the articles published in Web of Science (WOS) and Scopus, to identify the main drivers and barriers affecting the tourist behavior during/post-COVID-19 pandemic. Eventually, 47 articles were chosen for the final analysis.

The findings are reported in three sections, (1) quantitative research profile, (2) qualitative synthesis and (3) future agenda. This study addresses the nuanced questions regarding the significant change in tourist travel behavior, emotional dynamics and a detailed understanding of mechanisms, such as which drivers and barriers affect tourist behavior in a particular destination. Drivers and barriers to tourist travel behavior were characterized in personal-related, destination-related, and health-related factors. Moreover, this study provides thought-provoking ideas in theory, policy and practice in the field of tourism and hospitality.

This study has three limitations, as follows. First, the authors searched only two databases, Scopus and Web of Science, due to which the authors might be missing some related studies existing on the other databases. Although these databases provide an extensive range of academic literature, further studies could extend the data collection from the other databases (e.g. via Taylor & Francis). However, our systematic literature review (SLR) coverage is quite extensive, since journals are listed on these three main databases. Second, the authors followed a main study search protocol based on the synonyms and related keywords, however, some of the studies that may be related to the tourist behavior towards the destination are missing on account of the lack of our keywords in there, title, author, keyword and abstract. Furthermore, future research could endeavor to add other keywords to expand the results of studies. Third, although the accurate analysis was conducted to reduce subjectivity in identifying themes for drivers and barriers of tourist behavior, future studies on categorization could work to ensure that other sub-themes categorize.

The recent study has some key practical implications. First, this study is valuable for all the stakeholders in a unique way, including destination managers, academicians and policymakers, because it provides insight into barriers and drivers that influence the development of tourist behavior towards the destination. Second, the current study also offers practical implications for people involved in tourism service industries including governments and private businesses. Policymakers and other leaders are increasingly interested in harnessing the economic potential of tourism. Therefore, identifying the barrier which is inhibiting the tourist traffic towards the destination is beneficial to understand and effectively develop strategies to minimize the effect of such factors. Moreover, drivers and barriers of tourist behavior towards the destination in the COVID-19 pandemic situation towards the destination may help to create a framework for the development of destinations according to the current vulnerable situation. Third, current findings suggest that tourism marketers understand the drivers and barrier constructs found in this study and tailor their marketing strategies for attracting existing and new tourists. For instance, marketers should understand the drivers and barriers of tourist behavior for effective strategy development to increase the positive effect of drivers and to reduce the negative effect of barriers.

This is the first systematic literature review on the impact of drivers and barriers of tourist travel behavior. This paper analyses the methods and approaches that have been used in the previous literature to examine the drivers and barriers of tourist travel behavior. The paper ends with the research implication and limitations of the studies.

This study aims to determine whether or not fashion retail brands can maintain their essence by providing personalized care through conventional face-to-face interactions or the use of e-services.

An exploratory investigation is being conducted to attain this goal. According to the findings of this research, Chatbots have an impact on consumer loyalty. The quality of a Chatbot’s system, service and information are all critical to providing a positive consumer experience.

The study concluded that Chatbot e-services might potentially enable dynamic and fascinating interactions between firms and their consumers. To personalize a Chatbot, firms might change the tone of the language used. Customers are more likely to use a Chatbot if it resembles a real person, which increases their pleasure and confidence in the product.

More precisely, the emphasis of the inquiry was on Chatbot, a relatively new digital tool that offers user-friendly, personalized and one-of-a-kind support to customers. Using information supplied by consumers, the authors examine a five-dimensional model that gauges how customers feel about Chatbots in terms of their ability to communicate with users, offer amusement, be trendy, personalize interactions and solve problems.