Implementing smart factory: A fuzzy-set analysis to uncover successful paths

Hyunmi Jang; Mohamed Yacine Haddoud; Saeyeon Roh; Adah Kole Emmanuel Onjewu; Taeeun Choi

doi:10.1016/j.techfore.2023.122751

Implementing smart factory: A fuzzy-set analysis to uncover successful paths

Hyunmi Jang, Mohamed Yacine Haddoud^*, Saeyeon Roh, Adah Kole Emmanuel Onjewu, Taeeun Choi

^*Corresponding author for this work

Plymouth Business School

Research output: Contribution to journal › Article › peer-review

Abstract

Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. Scholars have long examined firms' willingness to adopt smart factories. Thus, this study heeds this call by investigating the factors driving the adoption of smart factories. It employs a fuzzy-set configuration approach to capture the complex interactions underlying these drivers in the context of South Korean marine equipment firms. Based on data from a sample of 180 respondents, the findings revealed four complex paths with factors including government support, the entrepreneurial spirit of top management, efficiency expectation, and financial preparedness shaping the high and low implementation of smart factories. Theoretically, the findings are an exception to extant technology acceptance models. Practically, the attention of practitioners in South Korea and other similar contexts was drawn.

Original language	English
Number of pages	0
Journal	Technological Forecasting and Social Change
Volume	195
Issue number	0
Early online date	29 Jul 2023
DOIs	https://doi.org/10.1016/j.techfore.2023.122751
Publication status	Published - Oct 2023

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title = "Implementing smart factory: A fuzzy-set analysis to uncover successful paths",

abstract = "Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. Scholars have long examined firms' willingness to adopt smart factories. Thus, this study heeds this call by investigating the factors driving the adoption of smart factories. It employs a fuzzy-set configuration approach to capture the complex interactions underlying these drivers in the context of South Korean marine equipment firms. Based on data from a sample of 180 respondents, the findings revealed four complex paths with factors including government support, the entrepreneurial spirit of top management, efficiency expectation, and financial preparedness shaping the high and low implementation of smart factories. Theoretically, the findings are an exception to extant technology acceptance models. Practically, the attention of practitioners in South Korea and other similar contexts was drawn.",

author = "Hyunmi Jang and Haddoud, {Mohamed Yacine} and Saeyeon Roh and Onjewu, {Adah Kole Emmanuel} and Taeeun Choi",

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AU - Haddoud, Mohamed Yacine

AU - Roh, Saeyeon

AU - Onjewu, Adah Kole Emmanuel

AU - Choi, Taeeun

PY - 2023/10

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N2 - Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. Scholars have long examined firms' willingness to adopt smart factories. Thus, this study heeds this call by investigating the factors driving the adoption of smart factories. It employs a fuzzy-set configuration approach to capture the complex interactions underlying these drivers in the context of South Korean marine equipment firms. Based on data from a sample of 180 respondents, the findings revealed four complex paths with factors including government support, the entrepreneurial spirit of top management, efficiency expectation, and financial preparedness shaping the high and low implementation of smart factories. Theoretically, the findings are an exception to extant technology acceptance models. Practically, the attention of practitioners in South Korea and other similar contexts was drawn.

AB - Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. Scholars have long examined firms' willingness to adopt smart factories. Thus, this study heeds this call by investigating the factors driving the adoption of smart factories. It employs a fuzzy-set configuration approach to capture the complex interactions underlying these drivers in the context of South Korean marine equipment firms. Based on data from a sample of 180 respondents, the findings revealed four complex paths with factors including government support, the entrepreneurial spirit of top management, efficiency expectation, and financial preparedness shaping the high and low implementation of smart factories. Theoretically, the findings are an exception to extant technology acceptance models. Practically, the attention of practitioners in South Korea and other similar contexts was drawn.

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JO - Technological Forecasting and Social Change

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Implementing smart factory: A fuzzy-set analysis to uncover successful paths

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