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Intervention of artificial intelligence (AI) has brought up the issue of future job prospects in terms of the employability of the professionals and their readiness to harness the benefits of the AI. The purpose of this study is to recognize the implications of AI on employability by analyzing the issues in the health-care sector that if not addressed, can dampen the possibilities offered by AI intervention and its pervasiveness (Cornell University, INSEAD, and WIPO, 2019).

To get an insight on these concerns, an approach of total interpretive structural modelling, cross impact matrix multiplication applied to classification and path analysis have been used to understand the role of the critical factors influencing employability in the health-care sector.

This study primarily explores the driving-dependence power of the critical factors of the employability and displays hierarchical relationships. It also discusses measures which, if adopted, can enhance employability in the health-care sector with the intervention of AI.

Employability also has an impact on the productivity of the health-care service delivery which may provide a holistic opportunity to the management in health-care organizations to forecast the allocation and training of human resources and technological resources.

The paper attempts to analyze AI intervention and other driving factors (operational changes, customized training intervention, openness to learning, attitude toward technology, job-related skills and AI knowledge) to analyze their impact on employability with the changing needs. It establishes the hierarchical relationship among the critical factors influencing employability in the health-care sector because of the intervention of AI.

This study examines the yin (promotive) and yang (prohibitive) of employee voice based on employee preference for voice channel attributes. Employee inputs may be disregarded, requiring employees to maneuver for unheeded voice and adopt alternate voice tactics. The authors emphasize the ubiquity of lurking employee silence and its affective effects on subsequent cycles of voice or silence.

Qualitative design involving semi-structured interviews of employees from service sector firms in India assisted the inquiry.

Employees prefer voice channel attributes that ensure visibility and data substance for promotive voice and anonymity and confidentiality for prohibitive voice. Voice target switching and message reframing were common employee strategies. Silence on both sharing views/opinions (promotive) and voicing issues/concerns (prohibitive) weakens employee future voice incidents, besides suppressing the affect. Post-silence cognitive reappraisal increases voice incidences.

Findings may have limited generalizability given the qualitative design of the study. Moving beyond extant episodic voice research, the authors demonstrate the recurrent nature of employee voice and silence. The study broadens perspectives on how varied voice types necessitate nuanced voice channel attributes.

Present work brings together organizational behavior (OB) perspective on discretionary voice through human resource (HR)-based channels, helping bridge the gap between previously disparate stands.

In the context of an absence of studies examining the interrelationship between Indian construction industry and residential real estate sector, the study aims to develop and test a conceptual framework to stimulate construction industry through optimisation of housing market in India. The developed conceptual framework lays down a blueprint to assess the interaction between construction industry and housing market in other countries.

Means of stimulation of construction industry by residential real estate sector were identified. Housing market was examined to identify factors constituting consumer-centric delivery and consumer-empowered demand. Supply side of housing market was probed to identify underlying factors stifling housing delivery. The identified factors were put together to form the conceptual framework. A questionnaire was developed and administered to the delivery-side stakeholders of housing market.

The study demonstrates significant correlations between real estate investment-led construction industry output stimulation and consumer-centric residential real estate delivery. The deterrents to consumer-centric housing delivery have been ascertained to be having an impact on time, cost and scope of housing projects. Significant correlations have been ascertained between the deterrents. On the demand-side, skills, awareness and engagement of consumers are strongly correlated with each other. Affordability of housing is rightfully correlated with all the three means of stimulation of construction industry output.

Specific to the Indian context, the study presents and validates a novel conceptual framework aimed at stimulation of construction industry output through interventions in housing market.

This study aims to conduct a rigorous bibliometric analysis of workplace deviant behavior (WDB) to identify prevailing trends, patterns, and themes in the field. The analysis seeks to outline the domain’s intellectual and social structure and provide a research roadmap.

The study employed a systematic procedure to scrutinize research scenario. A search in the Scopus database produced 1,677 papers from reputable publications spanning 42 years (1976–2023). Science mapping techniques, including co-citation, co-authorship, and co-occurrence analysis, were used to obtain insights into the research landscape. By implementing these techniques, the authors comprehensively understood the interconnectedness and patterns within the research field.

This study demonstrates an apparent surge in the overall number and impact of studies conducted on WDB, most of which are published in prestigious publications. Furthermore, the findings support Bradford’s law, defying Lotka’s law in this field. Through co-citation analysis, four clusters were identified in this area. Subsequently, co-occurrence was used to pinpoint several strong themes. Finally, the authors of the USA and China demonstrated the most significant collaboration.

This study is a pioneering approach to applying bibliometric analysis to explore WDB research; it addresses a gap in the comprehensive review of earlier research and contributes to enriching the body of knowledge in this area. The results of this research are helpful for practitioners, scholars and future researchers in this subject, even if it has its roots in scientometrics.