Linking human-machine interaction, knowledge sharing, and communication culture to organisational performance: a socio-technical perspective

This paper investigates the extent to which organisational performance (OP) is shaped by human-machine interaction (HMI), organisational communication culture (OCC), and knowledge sharing (KS) within Indonesian organisations. With rapid digital transformations, knowledge on how socio-technical drivers interact is crucial. Utilising a multi-method approach that blends structural equation modelling and Bayesian networks, 420 workers from medium and large organisations were polled. Findings indicate: 1) HMI and KS substantially enhance OP; 2) OCC has a direct impact on OP and moderates the influences of HMI and KS; 3) Bayesian analysis identifies OCC as the most substantial predictor of high OP; 4) the amalgamated framework explains 67% of OP variance. The work furthers the extant literature by utilising cutting-edge statistical and machine learning procedures in a developing economy context, highlighting the pivotal role of communication culture in facilitating maximum benefits from digital teamwork and knowledge flow.