Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/1797 |
Resumo: | Purpose: Regardless of the potential benefits of Industry 4.0, firms are still experiencing difficulties in properly integrating new technologies into their business. This study focuses on addressing critical barriers to implementing Industry 4.0 in the manufacturing industries of Bangladesh with a view to exploring readiness. The paradigm of adopting new technologies is yet to be unlocked in Bangladesh, which serves as this study's motivating force. Approach: In order to accomplish the research objectives, "Interpretive Structural Modelling (ISM)" analysis is used, which identified and outlined the most significant barriers to adopting Industry 4.0. This was also combined with MICMAC analysis, which categorized the barriers based on their driving and dependent power. To evaluate the industries' preparedness, "cross-tabulation and frequency analysis" is performed using SPSS. Key findings: According to the findings, “Lack of technical knowledge about industry 4.0” has been identified as the most crucial barrier. Limitations of the study: To address the firm’s preparedness, we looked at responses from management personnel. Nevertheless, if we could do this on a larger scale, a better scenario of Bangladesh's manufacturing industries toward Industry 4.0 might be shown. Practical implication: The study's findings will be conceptually linked to relevant aspects of I4.0, particularly for strategic planning, decision-making, future opportunities, and formulating policy-related guidelines. Originality: While several studies concentrate on particular sectors adopting Industry 4.0, no study has been conducted on manufacturing industries focusing on the industry's preparedness, which makes this study distinctive. |
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Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based StudyIndustry 4.0 (I4.0)Interpretive structural modelling (ISM)MICMACInternet of things (IoT)Artificial Intelligence (AI)Purpose: Regardless of the potential benefits of Industry 4.0, firms are still experiencing difficulties in properly integrating new technologies into their business. This study focuses on addressing critical barriers to implementing Industry 4.0 in the manufacturing industries of Bangladesh with a view to exploring readiness. The paradigm of adopting new technologies is yet to be unlocked in Bangladesh, which serves as this study's motivating force. Approach: In order to accomplish the research objectives, "Interpretive Structural Modelling (ISM)" analysis is used, which identified and outlined the most significant barriers to adopting Industry 4.0. This was also combined with MICMAC analysis, which categorized the barriers based on their driving and dependent power. To evaluate the industries' preparedness, "cross-tabulation and frequency analysis" is performed using SPSS. Key findings: According to the findings, “Lack of technical knowledge about industry 4.0” has been identified as the most crucial barrier. Limitations of the study: To address the firm’s preparedness, we looked at responses from management personnel. Nevertheless, if we could do this on a larger scale, a better scenario of Bangladesh's manufacturing industries toward Industry 4.0 might be shown. Practical implication: The study's findings will be conceptually linked to relevant aspects of I4.0, particularly for strategic planning, decision-making, future opportunities, and formulating policy-related guidelines. Originality: While several studies concentrate on particular sectors adopting Industry 4.0, no study has been conducted on manufacturing industries focusing on the industry's preparedness, which makes this study distinctive.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2023-08-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch paperapplication/pdfhttps://bjopm.org.br/bjopm/article/view/179710.14488/BJOPM.1797.2023Brazilian Journal of Operations & Production Management; Vol. 20 No. 3 (2023): Special edition; 17972237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/1797/1049Copyright (c) 2023 Sourav Hossain, Sanjida Hassan, Rubayet Karimhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessHossain, SouravHassan, SanjidaKarim, Rubayet2023-10-31T14:29:18Zoai:ojs.bjopm.org.br:article/1797Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-10-31T14:29:18Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
title |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
spellingShingle |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study Hossain, Sourav Industry 4.0 (I4.0) Interpretive structural modelling (ISM) MICMAC Internet of things (IoT) Artificial Intelligence (AI) |
title_short |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
title_full |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
title_fullStr |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
title_full_unstemmed |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
title_sort |
Assessment of Critical Barriers to Industry 4.0 Adoption in Manufacturing Industries of Bangladesh: An ISM-Based Study |
author |
Hossain, Sourav |
author_facet |
Hossain, Sourav Hassan, Sanjida Karim, Rubayet |
author_role |
author |
author2 |
Hassan, Sanjida Karim, Rubayet |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Hossain, Sourav Hassan, Sanjida Karim, Rubayet |
dc.subject.por.fl_str_mv |
Industry 4.0 (I4.0) Interpretive structural modelling (ISM) MICMAC Internet of things (IoT) Artificial Intelligence (AI) |
topic |
Industry 4.0 (I4.0) Interpretive structural modelling (ISM) MICMAC Internet of things (IoT) Artificial Intelligence (AI) |
description |
Purpose: Regardless of the potential benefits of Industry 4.0, firms are still experiencing difficulties in properly integrating new technologies into their business. This study focuses on addressing critical barriers to implementing Industry 4.0 in the manufacturing industries of Bangladesh with a view to exploring readiness. The paradigm of adopting new technologies is yet to be unlocked in Bangladesh, which serves as this study's motivating force. Approach: In order to accomplish the research objectives, "Interpretive Structural Modelling (ISM)" analysis is used, which identified and outlined the most significant barriers to adopting Industry 4.0. This was also combined with MICMAC analysis, which categorized the barriers based on their driving and dependent power. To evaluate the industries' preparedness, "cross-tabulation and frequency analysis" is performed using SPSS. Key findings: According to the findings, “Lack of technical knowledge about industry 4.0” has been identified as the most crucial barrier. Limitations of the study: To address the firm’s preparedness, we looked at responses from management personnel. Nevertheless, if we could do this on a larger scale, a better scenario of Bangladesh's manufacturing industries toward Industry 4.0 might be shown. Practical implication: The study's findings will be conceptually linked to relevant aspects of I4.0, particularly for strategic planning, decision-making, future opportunities, and formulating policy-related guidelines. Originality: While several studies concentrate on particular sectors adopting Industry 4.0, no study has been conducted on manufacturing industries focusing on the industry's preparedness, which makes this study distinctive. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-08-31 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Research paper |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1797 10.14488/BJOPM.1797.2023 |
url |
https://bjopm.org.br/bjopm/article/view/1797 |
identifier_str_mv |
10.14488/BJOPM.1797.2023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1797/1049 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Sourav Hossain, Sanjida Hassan, Rubayet Karim http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Sourav Hossain, Sanjida Hassan, Rubayet Karim http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 20 No. 3 (2023): Special edition; 1797 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051459476389888 |