Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0

This study aimed to model a trust decision-making of Indonesian small and medium-sized enterprise (SME) groups in the adoption of Industry 4.0 namely, ergonomic, machinery, and e-commerce technology. The data on trust and its constraints were collected through a questionnaire, and formulated in a Ka...

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Main Authors: Ushada, Mirwan, Trapsilawati, Fitri, Amalia, Rosa, Putro, Nur Achmad Sulistyo
Format: Article
Published: Taylor and Francis Ltd. 2022
Subjects:
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author Ushada, Mirwan
Trapsilawati, Fitri
Amalia, Rosa
Putro, Nur Achmad Sulistyo
author_facet Ushada, Mirwan
Trapsilawati, Fitri
Amalia, Rosa
Putro, Nur Achmad Sulistyo
author_sort Ushada, Mirwan
collection UGM
description This study aimed to model a trust decision-making of Indonesian small and medium-sized enterprise (SME) groups in the adoption of Industry 4.0 namely, ergonomic, machinery, and e-commerce technology. The data on trust and its constraints were collected through a questionnaire, and formulated in a Kansei fitness function. The trust was modeled by Swarm Modeling (SM) to extract critical constraints. Traveling salesman problem-based Ant Colony Optimization (ACO) was used to determine the optimum decision-making path. The simulation indicated that the perception of technology benefit limited the adoption of Industry 4.0. The three optimal trust decision-making paths were generated on Java, Sumatera and Nusa Tenggara groups.
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spelling oai:generic.eprints.org:2828052024-01-05T06:17:43Z https://repository.ugm.ac.id/282805/ Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0 Ushada, Mirwan Trapsilawati, Fitri Amalia, Rosa Putro, Nur Achmad Sulistyo Applied Economics not elsewhere classified Decision Making Economics Industrial Engineering This study aimed to model a trust decision-making of Indonesian small and medium-sized enterprise (SME) groups in the adoption of Industry 4.0 namely, ergonomic, machinery, and e-commerce technology. The data on trust and its constraints were collected through a questionnaire, and formulated in a Kansei fitness function. The trust was modeled by Swarm Modeling (SM) to extract critical constraints. Traveling salesman problem-based Ant Colony Optimization (ACO) was used to determine the optimum decision-making path. The simulation indicated that the perception of technology benefit limited the adoption of Industry 4.0. The three optimal trust decision-making paths were generated on Java, Sumatera and Nusa Tenggara groups. Taylor and Francis Ltd. 2022-09-13 Article PeerReviewed Ushada, Mirwan and Trapsilawati, Fitri and Amalia, Rosa and Putro, Nur Achmad Sulistyo (2022) Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0. Cybernetics and Systems. pp. 1-12. ISSN 01969722 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138358130&doi=10.1080%2f01969722.2022.2122011&partnerID=40&md5=e8a192dde29366f8d895d7ecc597e1ea 10.1080/01969722.2022.2122011
spellingShingle Applied Economics not elsewhere classified
Decision Making
Economics
Industrial Engineering
Ushada, Mirwan
Trapsilawati, Fitri
Amalia, Rosa
Putro, Nur Achmad Sulistyo
Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title_full Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title_fullStr Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title_full_unstemmed Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title_short Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0
title_sort modeling trust decision making of indonesian food and beverage sme groups in the adoption of industry 4 0
topic Applied Economics not elsewhere classified
Decision Making
Economics
Industrial Engineering
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