The Implementation of Smart Factories: Empirical Evidence from Korean Small and Medium-Sized Enterprises

Ji-Chang Chung
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Abstract

Purpose - The purpose of this study is to examine firm-level attributes related to Korean manufacturing small and medium-sized enterprises’ (SMEs’) decisions to implement smart factories. Design/methodology/approach - This study uses the provided by the Ministry of SMEs and Startups of Korea and the Korea Federation of SMEs. Manufacturing SMEs’ decisions to implement smart factories in 2018-2019 were analyzed using multinomial logit and ordered logit models. Findings - The findings of this study suggest that firms’ decisions to implement smart factories were positively related to firm size, R&D intensity, international market scope, and transactional relationships with customers. However, smart factory implementation decisions were not related to firm age and CEO gender. Research implications or Originality - This study illuminates firm-level attributes that may drive organizational innovation in the era of Industry 4.0 and thus contributes to the innovation adoption literature. This study also contributes to growing research on smart factories by analyzing the actual, progressive decisions to implement smart factories, as opposed to perceived intentions to implement them.
智能工厂的实施:来自韩国中小企业的经验证据
目的-本研究的目的是检查与韩国制造业中小企业(SMEs)实施智能工厂决策相关的公司层面属性。设计/方法/方法-本研究采用韩国中小企业创业部和韩国中小企业联合会提供的数据。利用多项logit和有序logit模型分析了制造业中小企业在2018-2019年实施智能工厂的决策。研究结果-本研究的结果表明,企业实施智能工厂的决策与企业规模、研发强度、国际市场范围以及与客户的交易关系呈正相关。然而,智能工厂实施决策与公司年龄和CEO性别无关。研究启示或原创性-本研究阐明了在工业4.0时代可能推动组织创新的企业层面属性,从而有助于创新采用文献。本研究还通过分析实施智能工厂的实际、渐进决策,而不是实施智能工厂的感知意图,为智能工厂的研究做出了贡献。
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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