集合(抽象数据类型)
制裁
心理学
前因(行为心理学)
定性比较分析
社会心理学
计算机科学
政治学
机器学习
法学
程序设计语言
作者
Mengmeng Song,Farveh Farivar,Joseph C. Ugrin,Jinnan Wu,Fang Wang,Lin Liu
出处
期刊:Cyberpsychology, Behavior, and Social Networking
[Mary Ann Liebert]
日期:2023-09-28
卷期号:26 (10): 772-781
标识
DOI:10.1089/cyber.2023.0002
摘要
Cyberloafing is a workplace problem that has emerged over the past two decades and continues to be problematic as workers' schedules become more flexible and deterrents associated with being physically present in an office are unavailable. Understanding the complex conditions under which employees are more likely to engage in cyberloafing activity continues to be valuable for businesses. This study identifies and models seven conditions that influence cyberloafing and investigates how interconnected social and deterrence factors affect employees' cyberloafing behavior. With a cross-sectional random sample of 324 employees from 14 provinces in China, the necessary condition analysis is used to identify the necessary conditions for high cyberloafing, and the fuzzy-set qualitative comparative approach is conducted to explore the configurational impacts of multiple antecedent conditions on high cyberloafing. The results show that no single condition is necessary for a high level of employee cyberloafing and that three distinct configurations of multiple conditions equivalently contribute to high cyberloafing among employees. Among all configurations, high visibility of cyberloafing, a lack of certainty of formal sanctions, and a lack of reward for not cyberloafing play important roles in explaining employees' cyberloafing. This study is the first to use fuzzy-set qualitative comparative analysis to explore how different combinations of social and reinforcement antecedents contribute to cyberloafing, which goes beyond existing research that explores antecedents independently and offers new insights into cyberloafing's interconnected antecedents and their complex causality.
科研通智能强力驱动
Strongly Powered by AbleSci AI