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The purpose of this study is to examines the relationship between doom-scrolling and employee performance among Generation Z working in the information technology (IT) sector in India.

The study followed a quantitative research approach with a descriptive research design. A purposive sampling technique is used in the study. A sample of 393 Generation Z employees of the IT at the locations in and around the Chandigarh region of northern India was considered in the study. The data were collected primarily through a survey questionnaire and analyzed through structural equation modeling.

The findings of the study reveal the significant impact of doom-scrolling on employee performance among the Gen Z of the IT sector in India.

The present study has measured the direct impact of doom scrolling on employee performance. However, the possibilities of other factors such as work stress and work-life balance as mediators cannot be ruled out for an indirect relationship between doom scrolling and employee performance.

The findings of the study state that doom scrolling has a significant impact on the employee performance of Gen Z employees in the IT sector of India. Such findings will be an insight into the other service sector of India such as health care and hospitality in recognizing the pattern of behavior followed by Gen Z employees toward social media, technology and job performance.

The findings will be imperative to Gen Z and other segments of the population of society also in understanding the role of addiction to social media and technology can be disruptive.

The study is useful in understanding the role of addiction to social media and technology can be disruptive. To the best of the authors’ knowledge, this research is the first of its kind to understand how doom scrolling significantly affects employee performances in the IT sector of India.

Menstruation poses psycho-physiological challenges globally due to a lack of awareness, unhygienic practices and social stigma. This paper aims to assess the existing body of research on menstrual health and hygiene (MHH) worldwide.

This study focuses on seminal works published in the Scopus Database from 1946 to 2023 for extensive bibliometric analysis, involving 756 bibliographic records analyzed through Biblioshiny and VOSviewer software. The authors use thematic analysis to identify core research themes and sub-themes, coupled with a critical review of the most highly cited articles within each thematic category.

The research into MHH has consistently grown since 2010, with a notable surge in the past five years. Among all countries, the USA emerges as the most active contributor, boasting the highest number of publications and citations. In terms of organizations, The London School of Hygiene and Tropical Medicine takes the lead with 54 articles. Further, PLOS ONE and Waterlines were the most productive and influential journals, respectively. The thematic analysis identifies key research foci, including tampons, menstrual health, sanitation, hygiene and bleeding.

Further research could be initiated in areas of menstrual education and awareness, menstrual product safety and effectiveness and menstrual disorders and treatments to address the concerns especially encountered by women from developing countries.

This research provides a comprehensive analysis of 77 years of MHH research, offering valuable insights into key areas of concern and guiding future research directions, ultimately addressing critical global health challenges.

This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS).

The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22.

Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS.

This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

Innovation is considered as an important tool to succeed and survive in periods of great uncertainty such as COVID-19 crisis. This paper aims to empirically examine the propensity to engage in product, process and organizational innovation under uncertainty among small and medium enterprises and how that propensity varies depending on the gender of the manager.

Using the results of 213 responses by managers of Armenian small and medium enterprises in the scope of GLOBE-2020 survey, the authors investigate the role of manager’s gender in encouraging innovative attitude under uncertainty. To measure the relationship between uncertainty and innovation (product, process and organizational), Pearson’s correlation coefficients were calculated between managers’ perception about the uncertainty and their perceptions of innovation within their companies compared to the players in the external environment. In addition, a linear regression was run between the three innovation types and uncertainty.

The results of our analysis confirmed the positive relationship between uncertainty and innovation. Moreover, our results indicate that male managers have a higher tendency to undertake innovation under external turbulence.

This study fills the gap in the literature by studying the relationship between uncertainty and innovation, focusing on SMEs during adversarial times, which in contrast to bigger companies are limited in terms of their resources and, hence, capacity to innovate. The paper examines the gender dimension as an internal factor affecting innovation under uncertainty in an under-researched country context of Armenia, where female entrepreneurs deal with unique challenges to engage in innovative activities.