How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation
Purpose: Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature lacks to investigate the comprehensive associations...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Emerald
2023
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/9908/3/Accepted%20Version.pdf |
| _version_ | 1824446513582964736 |
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| author | Samadhiya, Ashutosh Naz, Farheen Kumar, Anil Garza-Reyes, Jose Arturo Luthra, Sunil |
| author_facet | Samadhiya, Ashutosh Naz, Farheen Kumar, Anil Garza-Reyes, Jose Arturo Luthra, Sunil |
| author_sort | Samadhiya, Ashutosh |
| collection | LMU |
| description | Purpose: Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature lacks to investigate the comprehensive associations between SM, BDA, and PM. Therefore, this study aims to investigate the relationship among SM, BDA, and PM.
Design/methodology/approach: The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM, and SM.
Findings: This investigation indicates that BDA is an effective digital technology that positively affects the operations of SM and PM. Furthermore, the results suggest that PM has a positive influence on SM and that it also positively mediates the relationship between BDA and SM where PM cannot be treated as an auxiliary practice, and plays an important role in SM as a primary operation. Furthermore, implementing the BDA enhances the performance of SM and PM.
Originality: The role of PM in the context of BDA and SM has been ignored in past research, and this study offers novelty by examining this relationship. |
| first_indexed | 2025-02-19T01:16:21Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:9908 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2025-02-19T01:16:21Z |
| publishDate | 2023 |
| publisher | Emerald |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:99082025-01-13T11:45:39Z https://repository.londonmet.ac.uk/9908/ How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation Samadhiya, Ashutosh Naz, Farheen Kumar, Anil Garza-Reyes, Jose Arturo Luthra, Sunil 600 Technology 650 Management & auxiliary services Purpose: Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature lacks to investigate the comprehensive associations between SM, BDA, and PM. Therefore, this study aims to investigate the relationship among SM, BDA, and PM. Design/methodology/approach: The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM, and SM. Findings: This investigation indicates that BDA is an effective digital technology that positively affects the operations of SM and PM. Furthermore, the results suggest that PM has a positive influence on SM and that it also positively mediates the relationship between BDA and SM where PM cannot be treated as an auxiliary practice, and plays an important role in SM as a primary operation. Furthermore, implementing the BDA enhances the performance of SM and PM. Originality: The role of PM in the context of BDA and SM has been ignored in past research, and this study offers novelty by examining this relationship. Emerald 2023-12-30 Article PeerReviewed text en cc_by_nc_4 https://repository.londonmet.ac.uk/9908/3/Accepted%20Version.pdf Samadhiya, Ashutosh, Naz, Farheen, Kumar, Anil, Garza-Reyes, Jose Arturo and Luthra, Sunil (2023) How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation. Journal of Manufacturing Technology Management. ISSN 1741-038X https://doi.org/10.1108/JMTM-08-2024-0454 10.1108/JMTM-08-2024-0454 10.1108/JMTM-08-2024-0454 |
| spellingShingle | 600 Technology 650 Management & auxiliary services Samadhiya, Ashutosh Naz, Farheen Kumar, Anil Garza-Reyes, Jose Arturo Luthra, Sunil How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title | How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title_full | How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title_fullStr | How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title_full_unstemmed | How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title_short | How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation |
| title_sort | how does big data influence smart manufacturing in the presence of preventive maintenance a multi analytical investigation |
| topic | 600 Technology 650 Management & auxiliary services |
| url | https://repository.londonmet.ac.uk/9908/3/Accepted%20Version.pdf |
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