Predicting breakthrough innovation engagement via hybrid intelligence: a moderated mediation model of self-extinction and social intelligence

Syed Mudasser Abbas, Zhiqiang Liu and Muhammad Khushnood

International Journal of Emerging Markets, 2023, vol. 20, issue 5, 2061-2087

Abstract: Purpose - This study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence. Design/methodology/approach - This study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM). Findings - The results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship. Originality/value - As a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.

Keywords: Hybrid intelligence; Breakthrough innovation engagement; Self-extinction; Social intelligence (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijoemp:ijoem-07-2022-1140

DOI: 10.1108/IJOEM-07-2022-1140

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