利用
独创性
知识管理
制造业
制造工程
实证研究
先进制造业
过程管理
计算机科学
业务
工程类
营销
哲学
计算机安全
认识论
创造力
政治学
法学
作者
Na Lü,Wei Zhou,Zhi Dou
出处
期刊:Industrial Management and Data Systems
[Emerald Publishing Limited]
日期:2022-05-30
卷期号:123 (1): 188-203
被引量:18
标识
DOI:10.1108/imds-11-2021-0718
摘要
Purpose Intelligent manufacturing has attracted extensive attention from national strategy, academic research and enterprises' practices. The purpose of this study is to investigate the influence of intelligent manufacturing on performance in manufacturing firms. Moreover, how intelligent manufacturing technology affects enterprise performance, this study provided a practice that can be replicated by other businesses. Design/methodology/approach This study uses text mining to collect the intelligence level of Chinese listed companies. It uses quantitative analysis to test the proposed model based on samples of 2,091 manufacturers. Findings Intelligent manufacturing has positive effect on short-term performance and long-term performance. Intelligent manufacturing can empower firms with ambidextrous capabilities, including exploit capability and explore capability. Exploit capability has positive effects on short-term performance and long-term performance. Explore capability has negative effects on short-term performance, but has positive effects on long-term performance. Originality/value On the theoretical side, it enriches the research framework between intelligent manufacturing and enterprise performance. This study explains the preconditions and results of ambidextrous capabilities. Moreover, based on the practice-based view (PBV), this study proposes that technologies can be used as strategies, filling a gap in the existing research on strategic management. On the practical side, how to quantify the intelligent manufacturing level of enterprises provides a certain reference. Also, this study provides an easy to imitate practice that can serve as a model for under-performing enterprises.
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