Muhammad Fahmy Mayadi

A Bibliometric Analysis of Quiet Quitting on Corporate Company

Introduction

A bibliometric analysis of quiet quitting on corporate company. Explore quiet quitting in corporate companies through a bibliometric analysis. Discover trends, themes (burnout, Gen Z, engagement), and insights for adaptive management strategies.

Abstract

The phenomenon of quiet quitting has become a significant concern in the world of work, especially in corporate environments. The term refers to a condition when employees only work according to their basic duties without extra involvement outside formal responsibilities. This phenomenon reflects the changing values in the modern workplace, where life balance, job satisfaction, and mental health are the main focus rather than excessive productivity. This research aims to explore the development of studies on quiet quitting through a bibliometric approach by utilizing the Google Scholar database and VOSviewer software. The results of the analysis include publication trends, source distribution, main contributors, and clustering of research themes. The thematic visualization shows that this issue is closely related to employee engagement, burnout, generation Z, organizational roles, and managerial responses such as quiet firing. This study provides important insights into research directions and gaps that can be leveraged for the development of management strategies that are adaptive to changes in employee behavior in the post-pandemic work era.

Review

This paper presents a timely bibliometric analysis of 'quiet quitting' within corporate environments, a phenomenon increasingly recognized as a significant concern in the modern workplace. The authors correctly identify quiet quitting as a reflection of evolving employee values, prioritizing work-life balance, job satisfaction, and mental health over excessive productivity. The study's primary objective is to map the development of research in this area using a bibliometric approach, employing Google Scholar as a database and VOSviewer for analysis. This approach aims to provide valuable insights into publication trends, key contributors, and thematic clusters, setting a foundation for understanding the current academic landscape surrounding this critical issue. The strength of this research lies in its attempt to systematically review and categorize the burgeoning literature on quiet quitting, a topic of high relevance for both academics and practitioners. The identification of key thematic clusters such as employee engagement, burnout, Generation Z, organizational roles, and managerial responses like quiet firing offers a comprehensive overview of the interconnected issues. This thematic visualization is particularly useful for highlighting the multi-faceted nature of quiet quitting and its broader implications for organizational behavior and human resource management. The study's stated goal of providing insights into research directions and gaps, to inform adaptive management strategies in the post-pandemic era, underscores its practical significance and potential contribution to effective workplace management. While the research addresses a highly pertinent topic, a significant methodological concern arises from the exclusive reliance on Google Scholar as the database for the bibliometric analysis. While broad, Google Scholar lacks the curated metadata and structured citation indexing typically found in more specialized databases like Scopus or Web of Science, which are generally preferred for rigorous bibliometric studies. This choice might limit the comprehensiveness and the analytical depth in identifying definitive research trends, main contributors, and especially precise gaps in the literature. Furthermore, the abstract could benefit from a more explicit mention of the specific types of bibliometric analyses conducted (e.g., co-citation analysis, co-authorship networks, keyword co-occurrence analysis with defined thresholds) beyond simply stating the use of VOSviewer. Addressing these points could enhance the study's methodological robustness and strengthen the validity of its conclusions regarding research directions and gaps.

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