Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis
Objective: The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2023
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| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3688 |
| الوسوم: |
إضافة وسم
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| _version_ | 1862980620549881856 |
|---|---|
| author | Panigrahi, Shrikant |
| author2 | Khalfan Al Ghafri, Khaloud Rashid Al Alyani, Wafa Waris Ali Khan, Muhammad Al Madhagy, Taufiq Khan, Asadullah |
| author2_role | author author author author author |
| author_facet | Panigrahi, Shrikant Khalfan Al Ghafri, Khaloud Rashid Al Alyani, Wafa Waris Ali Khan, Muhammad Al Madhagy, Taufiq Khan, Asadullah |
| author_role | author |
| dc.creator.none.fl_str_mv | Panigrahi, Shrikant Khalfan Al Ghafri, Khaloud Rashid Al Alyani, Wafa Waris Ali Khan, Muhammad Al Madhagy, Taufiq Khan, Asadullah |
| dc.date.none.fl_str_mv | 2023 2026-01-22T09:49:11Z |
| dc.identifier.none.fl_str_mv | https://bspace.buid.ac.ae/handle/1234/3688 |
| dc.language.none.fl_str_mv | en_US |
| dc.title.none.fl_str_mv | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| dc.type.none.fl_str_mv | Article |
| description | Objective: The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered structured survey questionnaire and the sampling frame was manufacturing companies in Oman. In total 300 questionnaires were distributed among 185 companies and a total of 107 with a response rate of 35.6 percent. Findings: The statistical analysis obtained from structural equation modeling found that lean manufacturing practices can explain operational performance, however, were unable to benefit overall business performance. Out of eight LM practices considered, small-lot production and quick setups were found to be the most adopted practices in manufacturing companies. Novelty: Even though LM has become afundamental aspect of industrial manufacturing processes; little is known about its impact on performance. This study adds value to the literature by examining the key LM practices-performance rela tionships within the manufacturing companies in Oman. These findings have significant implications for improving manufacturing organizations’ operational and business performance through lean manufacturing strategies. |
| id | budr_3df06cd8f8af4b5db1c9c0eac6c81f15 |
| language_invalid_str_mv | en_US |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3688 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysisPanigrahi, ShrikantKhalfan Al Ghafri, KhaloudRashid Al Alyani, WafaWaris Ali Khan, MuhammadAl Madhagy, TaufiqKhan, AsadullahObjective: The main objective of the study is to empirically investigate the influence of lean manufacturing (LM) practices on the operational and business performance of manufacturing companies in Oman. Methods: Empirical data on LM practices and performance were collected using a self-administered structured survey questionnaire and the sampling frame was manufacturing companies in Oman. In total 300 questionnaires were distributed among 185 companies and a total of 107 with a response rate of 35.6 percent. Findings: The statistical analysis obtained from structural equation modeling found that lean manufacturing practices can explain operational performance, however, were unable to benefit overall business performance. Out of eight LM practices considered, small-lot production and quick setups were found to be the most adopted practices in manufacturing companies. Novelty: Even though LM has become afundamental aspect of industrial manufacturing processes; little is known about its impact on performance. This study adds value to the literature by examining the key LM practices-performance rela tionships within the manufacturing companies in Oman. These findings have significant implications for improving manufacturing organizations’ operational and business performance through lean manufacturing strategies.2026-01-22T09:49:11Z2023Articlehttps://bspace.buid.ac.ae/handle/1234/3688en_USoai:bspace.buid.ac.ae:1234/36882026-01-29T17:17:18Z |
| spellingShingle | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis Panigrahi, Shrikant |
| title | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| title_full | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| title_fullStr | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| title_full_unstemmed | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| title_short | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| title_sort | Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis |
| url | https://bspace.buid.ac.ae/handle/1234/3688 |