结构方程建模
知识管理
利克特量表
托换
信息技术
劳动力
业务
全面质量管理
工作(物理)
关键成功因素
信息系统
概念模型
质量(理念)
过程管理
信息技术管理
概念框架
透视图(图形)
比例(比率)
组织文化
实证研究
技术接受与使用的统一理论
组织承诺
钥匙(锁)
组织绩效
工作制度
系统思维
组织发展
信息和通信技术
企业资源规划
劳动力发展
营销
作者
Seema Seema,Garima Saini
标识
DOI:10.1108/jeim-03-2025-0182
摘要
Purpose In technologically intensive industries, innovation and agility are essential, especially in the information technology (IT) industry, where employees are exposed to turbulent, algorithmic environments. In this study, it is identified how innovative work behaviour (IWB) in Indian IT professionals is shaped by digital workforce agility (DWA), total quality management (TQM), algorithmic surveillance (AS), and inclusive leadership (IL) based on sector-specific socio-technical processes leading to organizational success. Design/methodology/approach A three-wave empirical study is conducted on 217 IT professionals with standardized questionnaire with a 7-point Likert scale and analysed on partial least squares structural equation modelling 4.0 software. The development of hypotheses is done utilizing the socio-technical systems theory (STST). Findings The study, through the theoretical underpinning of STST, emphasizes how TQM and AS significantly improve DWA. IWB is mostly driven by TQM through DWA, having a strong mediating influence. Furthermore, it is the link between DWA and IWB that has been strengthened by IL, indicating its potent moderating impact. Practical implications The results provide executives with useful, actionable advice on how to boost worker engagement, foster innovation and establish an inclusive, creative workplace culture – all of which are critical for organizational success in the rapidly changing business world of today. Originality/value The study broadens the intellectual limits of agility and innovation research by investigating the interdependence of structural factors, AS and TQM, and cognitive-cultural factors, DWA and IL, pertaining to STST. Based on STST, a conceptual framework is developed to explore how the implementation of disruptive technologies impacts and facilitates the IWB in the modern TQM quantified operational set-ups and how IL interplays in this process.
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