通过负责任的创新确定数字领导在培育竞争优势中的作用:sem -神经网络方法

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES Technology in Society Pub Date : 2023-11-01 DOI:10.1016/j.techsoc.2023.102399
Khalid Rasheed Memon, Say Keat Ooi
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引用次数: 0

摘要

当代研究表明,数字领导力(DL)在利用数字化转型推动数字化发展、影响组织、社会和环境方面发挥着关键作用。然而,关于深度学习在促进负责任创新(RI)以获得竞争优势(CA)中的作用的实证研究尽管具有重要意义,但仍然很少。利用上层梯队理论,本研究考察了深度学习作为一种反思性形成的高阶构念如何以RI为中介、社会取向(SO)为调节因素来影响CA。通过在线调查从150家创新企业收集数据,并结合偏最小二乘结构方程模型(PLS-SEM)和人工神经网络(ANN)技术进行双阶段分析。PLS结果表明DL正影响RI,而RI反过来正促进CA。此外,SO加强了DL和RI之间的联系。随后的人工神经网络分析与PLS调查结果一致,预测“数字创新者”的角色最重要,其次是“数字经理”和“数字推动者”角色。总的来说,这些发现对数字组织中的领导力和RI领域具有重大意义,揭示了DL、RI、SO和CA之间的关键关系。
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Identifying digital leadership's role in fostering competitive advantage through responsible innovation: A SEM-Neural Network approach

Contemporary research suggests that digital leadership (DL) plays a pivotal role in harnessing digital transformation to drive digital development, impacting organisations, society, and the environment. Nonetheless, empirical studies on the role of DL in fostering responsible innovation (RI) for a competitive advantage (CA) remain scarce despite its significance. Drawing on the upper echelons theory, this research examines how DL, operationalised as a reflective-formative higher-order construct, influences CA with RI as the mediator and social orientation (SO) as the moderator. Data were gathered through an online survey from 150 innovative firms, and a dual-stage analysis, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) techniques, was performed. The PLS results indicated that DL positively influences RI, which in turn, positively contributes to CA. Additionally, SO strengthens the link between DL and RI. The subsequent ANN analysis, in alignment with the PLS findings, predicted that the role of “digital innovator” holds the greatest significance, followed by the “digital manager” and “digital enabler” roles within the spectrum of DL. Overall, these findings hold substantial implications for the fields of leadership and RI within digital organisations, shedding light on the crucial relationship between DL, RI, SO and CA.

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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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