Implementing Smart Factory: A Fuzzy-set Analysis to Uncover Successful Paths

Hyunmi Jang; Mohamed Haddoud; Saeyeon  Roh; Adah Onjewu; Taeeun Choi

doi:10.1016/j.techfore.2023.122751

Implementing Smart Factory: A Fuzzy-set Analysis to Uncover Successful Paths

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

^*Corresponding author for this work

Strategy and International Business

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
Article number	122751
Number of pages	12
Journal	Technological Forecasting and Social Change
Volume	195
Early online date	29 Jul 2023
DOIs	https://doi.org/10.1016/j.techfore.2023.122751
Publication status	Published - Oct 2023

Keywords

Smart factories
Government support
Managerial awareness
Financial preparedness
Efficiency expectation
fsQCA

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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.",

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author = "Hyunmi Jang and Mohamed Haddoud and Saeyeon Roh and Adah Onjewu and Taeeun Choi",

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T2 - A Fuzzy-set Analysis to Uncover Successful Paths

AU - Jang, Hyunmi

AU - Haddoud, Mohamed

AU - Roh, Saeyeon

AU - Onjewu, Adah

AU - Choi, Taeeun

PY - 2023/10

Y1 - 2023/10

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.

KW - Smart factories

KW - Government support

KW - Managerial awareness

KW - Financial preparedness

KW - Efficiency expectation

KW - fsQCA

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DO - 10.1016/j.techfore.2023.122751

M3 - Article

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VL - 195

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

M1 - 122751

ER -

Implementing Smart Factory: A Fuzzy-set Analysis to Uncover Successful Paths

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Keywords

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