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This paper examines the moderated-moderation model of reciprocity belief and fear of negative evaluation between supervisors' abusive reactions and subordinates' distress.

The authors obtained 412 valid responses from Egyptian hotel employees and analyzed them using PROCESS model 3.

The three-way interaction findings proved that when employees have high reciprocity beliefs and low fear of negative evaluations, the abusive supervision-psychological distress relationship is dampened.

Organizations have the opportunity to implement human resource development (HRD) strategies focused on cultivating reduced apprehension toward negative evaluation and fostering a robust sense of positive reciprocity. To achieve this, HRD and HRM initiatives can encompass elements such as bolstering organizational and coworker support, promoting cultural assimilation and redefining work practices.

This paper adopts a comprehensive approach that recognizes the intricate interrelationships within the workplace by identifying subtle dynamics of abusive supervision and its impacts. It also explores the complex nature of such relationships rather than taking a purely causal perspective.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.