Enhancing organizational performance through knowledge-oriented leadership: the neglected role of employee creative work behavior and digital citizenship behavior in IT industry

Abstract

Purpose

Drawing upon Drucker’s theory of productivity, this study proposes to examine the relationship between knowledge-oriented leadership (KOL) and knowledge worker performance (KWP) within the Chinese information technology (IT) industry during the COVID-19 pandemic. Further, this study examines the direct connection between KWP and organizational performance (OP), as well as mediated via employee creative work behavior (ECWB), and digital citizenship behavior (DCB).

Design/methodology/approach

The data for the research was collected from a sample size of 322 individuals working in the IT industry context in China, with varying levels of seniority (lower, middle and upper). The relationship was examined by employing Smart PLS 4 in a current study.

Findings

The study findings revealed a significant and conspicuous effect of KOL on KWP. The outcomes divulged the fact that KOL has a positive impact on the ECWB, and DCB improves the performance of knowledge workers, resulting in an overall augmentation in the organizational performance of the IT industry.

Originality/value

Presently, there exist a scarcity of substantial empirical studies to thoroughly examine the influence of KOL, ECWB, DCB, KWP and OP in the domain of Chinese IT industry research, particularly in the setting of the pandemic. The study makes a substantial contribution to the extant literature on the topic via empirically examining the association among KOL, KWP and organizational performance, as well as evaluating the mediation mechanism of both employee creative work behavior and digital citizenship behavior.

Citation

Gu, A., Nawaz, A., Abbas, S. and Lv, B. (2024), "Enhancing organizational performance through knowledge-oriented leadership: the neglected role of employee creative work behavior and digital citizenship behavior in IT industry", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-10-2023-2084