The impact of anticipation of new technologies on operational and environmental performance: a strategy-structure-capabilities-performance perspective

预测(人工智能) 透视图(图形) 过程管理 结构方程建模 业务 计算机科学 知识管理 机器学习 人工智能
作者
Hao Zheng,Jing Dai,Boying Li,Yongyi Shou
出处
期刊:International journal of logistics [Taylor & Francis]
卷期号:: 1-24 被引量:5
标识
DOI:10.1080/13675567.2023.2260312
摘要

ABSTRACTIn today's volatile, uncertain, complex, and ambiguous environment, it is crucial for management to determine how to develop and maintain highly operational, sustainable organisations amid digitalisation. Digitalisation creates conditions for the emergence of new technologies, leading to heightened anticipation in this dynamic setting. However, their effects on firm performance are inconsistent. This study adopts the 'Strategy-Structure-Capabilities-Performance' framework to investigate how firms align the anticipation of new technologies (strategy), horizontal integration (structure), and agility (capability) to achieve remarkable operational and environmental performance. Data from a high-performance manufacturing database was used to identify 195 firms across 15 countries. The proposed model was assessed through regression and structural equation modelling. The findings imply that: (1) anticipation of new technologies contributes to the development of agility, (2) this anticipation, when aligned with horizontal integration, further enhances agility, and (3) increased agility can significantly improve both operational and environmental performance.KEYWORDS: Anticipation of new technologieshorizontal integrationagilitystrategy structure capabilities performance perspectivesustainabilityhigh performance manufacturing Data availability statementData are available on request from the authors.Disclosure statementNo potential conflict of interest was reported by the authors.
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