Digital Transformation Characteristics of the Semiconductor Industry Ecosystem

Donggi Kim and Keuntae Cho ()
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Donggi Kim: Graduate School of Management of Technology, Sungkyunkwan University, Chunchundong 300, Suwon 440-746, Republic of Korea
Keuntae Cho: Department of Systems Management Engineering, Graduate School of Management of Technology, Sungkyunkwan University, Chunchundong 300, Suwon 440-746, Republic of Korea

Sustainability, 2022, vol. 15, issue 1, 1-19

Abstract: This study investigates the characteristics of competitive strategies, digital competencies, and management performance as digital drivers in the semiconductor industry. We constructed a conceptual research model and proposed five research hypotheses based on previous studies and analyzed the fit of the research model using IBM SPSS AMOS software. In total, 131 companies specializing in semiconductor materials, components, equipment, and fabless design comprised the sample for analysis. To improve the fit of the research model, several unnecessary paths and measurement items were removed, the final research model was selected, and the five hypotheses were tested. The results indicate that digital drivers positively affect digital competencies, which, in turn, positively affect efficiency-centered and novelty-centered business models. Regarding the relationship between these business models and management performance, only the novelty-centered business model positively affects non-financial performance. These findings could help formulate digital transformation strategies related to products/services, processes, and business models at the firm level, as well as establish policies such as regulation and support programs at the government level.

Keywords: semiconductor; ecosystem; digital transformation; digital drivers; digital competencies; business model; management performance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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