Cloud computing in manufacturing: The next industrial revolution in Malaysia?
This study explores how performance expectancy (PE), effort expectancy (EE), firm size (FS), top management support (MS) and absorptive capacity (AC) of cloud computing technology can lead to innovativeness (IN) and firm performance (FP) among the manufacturing firms. Data gathered from 188 manageri...
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| Format: | Article |
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Elsevier
2018
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| _version_ | 1825721615899426816 |
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| author | Ooi, Keng Boon Lee, Voon Hsien Tan, Garry Wei Han Hew, Teck Soon Hew, Jun Jie |
| author_facet | Ooi, Keng Boon Lee, Voon Hsien Tan, Garry Wei Han Hew, Teck Soon Hew, Jun Jie |
| author_sort | Ooi, Keng Boon |
| collection | UM |
| description | This study explores how performance expectancy (PE), effort expectancy (EE), firm size (FS), top management support (MS) and absorptive capacity (AC) of cloud computing technology can lead to innovativeness (IN) and firm performance (FP) among the manufacturing firms. Data gathered from 188 managerial positions were analysed using Partial Least Squares (PLS) Structural Equation Modelling (SEM) analysis, together with the Artificial Neural Network (ANN) analysis. Findings revealed that PE, FS, AC have a positive significant influence on IN; while IN positively influences FP. This study offers valuable perspective on the applicability of cloud computing technology to improve IN and FP, and subsequently be aligned with Industry 4.0, the next industrial revolution. |
| first_indexed | 2024-03-06T05:53:03Z |
| format | Article |
| id | um.eprints-21059 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:53:03Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-210592019-04-24T06:53:30Z http://eprints.um.edu.my/21059/ Cloud computing in manufacturing: The next industrial revolution in Malaysia? Ooi, Keng Boon Lee, Voon Hsien Tan, Garry Wei Han Hew, Teck Soon Hew, Jun Jie HF Commerce This study explores how performance expectancy (PE), effort expectancy (EE), firm size (FS), top management support (MS) and absorptive capacity (AC) of cloud computing technology can lead to innovativeness (IN) and firm performance (FP) among the manufacturing firms. Data gathered from 188 managerial positions were analysed using Partial Least Squares (PLS) Structural Equation Modelling (SEM) analysis, together with the Artificial Neural Network (ANN) analysis. Findings revealed that PE, FS, AC have a positive significant influence on IN; while IN positively influences FP. This study offers valuable perspective on the applicability of cloud computing technology to improve IN and FP, and subsequently be aligned with Industry 4.0, the next industrial revolution. Elsevier 2018 Article PeerReviewed Ooi, Keng Boon and Lee, Voon Hsien and Tan, Garry Wei Han and Hew, Teck Soon and Hew, Jun Jie (2018) Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93. pp. 376-394. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2017.10.009 <https://doi.org/10.1016/j.eswa.2017.10.009>. https://doi.org/10.1016/j.eswa.2017.10.009 doi:10.1016/j.eswa.2017.10.009 |
| spellingShingle | HF Commerce Ooi, Keng Boon Lee, Voon Hsien Tan, Garry Wei Han Hew, Teck Soon Hew, Jun Jie Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title | Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title_full | Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title_fullStr | Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title_full_unstemmed | Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title_short | Cloud computing in manufacturing: The next industrial revolution in Malaysia? |
| title_sort | cloud computing in manufacturing the next industrial revolution in malaysia |
| topic | HF Commerce |
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