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

Authors: Iwan Koswara

Addresses: Communication Management Department, Faculty of Communication Science, Padjadjaran University, Jl. Raya Bandung Sumedang KM.21, Hegarmanah, Kecamatan Jatinangor, Kabupaten Sumedang, Jawa Barat 45363, Indonesia

Abstract: 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.

Keywords: human-machine interaction; HMI; knowledge sharing; organisational communication culture; OCC; organisational performance; PLS-SEM; Bayesian networks.

DOI: 10.1504/IJKMS.2025.151433

International Journal of Knowledge Management Studies, 2025 Vol.16 No.4, pp.487 - 516

Received: 17 Jun 2025
Accepted: 31 Jul 2025
Published online: 29 Jan 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article