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

IF 2.7 4区管理学 Q2 BUSINESS

International Journal of Emerging Markets Pub Date : 2023-09-07 DOI:10.1108/ijoem-07-2022-1140

Syed Mudasser Abbas, Zhiqiang Liu, Muhammad Khushnood

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Abstract

PurposeThis 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/approachThis 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).FindingsThe 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/valueAs 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.

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通过混合智能预测突破性创新参与:自我灭绝和社会智能的调节中介模型

目的本研究旨在探讨混合智能如何提高员工对突破性创新的参与度。具体而言，它实证检验了自我灭绝的中介作用和社会智力的调节作用。设计/方法/方法本研究采用社会技术系统（STS）理论，通过横断面调查收集了317名员工的数据。通过应用结构方程建模（SEM），使用MPlus 8.3对假设进行了检验。结果支持所提出的模型，表明混合智能促进了员工的突破性创新参与，并且这种关系完全由自我灭绝介导。此外，研究结果支持了社会智力对这种间接关系的积极调节作用，即高社会智力将进一步加强这种关系。独创性/价值作为一项开创性的贡献，该研究揭示了混合智能背后的社会机制——通过自我灭绝来突破创新参与关系。研究表明，管理者利用员工的社会智力，通过提高员工在突破性创新过程中的参与度，在对抗自我灭绝的负面影响方面发挥着关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Emerging Markets Multiple-

CiteScore

5.90

自引率

14.80%

发文量

206

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