The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm
Big Data and Predictive Analytics (BDPA) is considered a significant resource that enables the firm to gain competitiveness in the supply chain. Besides that, another challenge that is still facing by many manufacturing firms is the disproportionate growth between data captured and the firm’s capabi...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Pusat Pengurusan Penyelidikan dan Inovasi, Universiti Teknikal Malaysia Melaka
2022
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/36609/1/7.%202021_The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management%20the%20perspective%20of%20Malaysia%20manufactu.pdf http://umpir.ump.edu.my/id/eprint/36609/7/The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management.pdf |
| _version_ | 1796995527608369152 |
|---|---|
| author | Lee, Khai Loon Lim, Cean Peing |
| author_facet | Lee, Khai Loon Lim, Cean Peing |
| author_sort | Lee, Khai Loon |
| collection | UMP |
| description | Big Data and Predictive Analytics (BDPA) is considered a significant resource that enables the firm to gain competitiveness in the supply chain. Besides that, another challenge that is still facing by many manufacturing firms is the disproportionate growth between data captured and the firm’s capabilities to manage, process, analyze and transfer the big data to actionable knowledge and value. Therefore, this paper investigates and examines the relationship of BDPA capabilities on the firm’s financial and market performance. This paper has utilized the Resource-Based View (RBV) theory and quantitative research design to achieve the research objectives. A total of 400 survey questionnaires were distributed to respondents in Malaysian manufacturing companies listed in the FMM Directory and received 138 usable responses representing a 34.50% response rate. The data were empirically tested through structural equation modelling using Smart-PLS. Research findings showed that tangible resources, organizational learning, and data-driven culture positively influence a firm’s financial performance, while technical skills and management skills were insignificant. Moreover, management skills, organizational learning, and data-driven culture positively influenced a firm’s market performance, whereas tangible resources and technical skills were insignificant. |
| first_indexed | 2024-03-06T13:03:39Z |
| format | Conference or Workshop Item |
| id | UMPir36609 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:03:39Z |
| publishDate | 2022 |
| publisher | Pusat Pengurusan Penyelidikan dan Inovasi, Universiti Teknikal Malaysia Melaka |
| record_format | dspace |
| spelling | UMPir366092023-02-21T06:47:04Z http://umpir.ump.edu.my/id/eprint/36609/ The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm Lee, Khai Loon Lim, Cean Peing H Social Sciences (General) HD Industries. Land use. Labor TS Manufactures Big Data and Predictive Analytics (BDPA) is considered a significant resource that enables the firm to gain competitiveness in the supply chain. Besides that, another challenge that is still facing by many manufacturing firms is the disproportionate growth between data captured and the firm’s capabilities to manage, process, analyze and transfer the big data to actionable knowledge and value. Therefore, this paper investigates and examines the relationship of BDPA capabilities on the firm’s financial and market performance. This paper has utilized the Resource-Based View (RBV) theory and quantitative research design to achieve the research objectives. A total of 400 survey questionnaires were distributed to respondents in Malaysian manufacturing companies listed in the FMM Directory and received 138 usable responses representing a 34.50% response rate. The data were empirically tested through structural equation modelling using Smart-PLS. Research findings showed that tangible resources, organizational learning, and data-driven culture positively influence a firm’s financial performance, while technical skills and management skills were insignificant. Moreover, management skills, organizational learning, and data-driven culture positively influenced a firm’s market performance, whereas tangible resources and technical skills were insignificant. Pusat Pengurusan Penyelidikan dan Inovasi, Universiti Teknikal Malaysia Melaka 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36609/1/7.%202021_The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management%20the%20perspective%20of%20Malaysia%20manufactu.pdf pdf en http://umpir.ump.edu.my/id/eprint/36609/7/The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management.pdf Lee, Khai Loon and Lim, Cean Peing (2022) The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm. In: 12th Malaysian Technical Universities Conference on Engineering and Technology (MUCET 2021) , 16-18 November 2021 , Melaka, Malaysia. pp. 295-296.. https://crim.utem.edu.my/wp-content/uploads/2022/09/145-295-2961.pdf |
| spellingShingle | H Social Sciences (General) HD Industries. Land use. Labor TS Manufactures Lee, Khai Loon Lim, Cean Peing The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title | The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title_full | The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title_fullStr | The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title_full_unstemmed | The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title_short | The role of big data and predictive analytics capabilities in supply chain management: The perspective of Malaysia manufacturing firm |
| title_sort | role of big data and predictive analytics capabilities in supply chain management the perspective of malaysia manufacturing firm |
| topic | H Social Sciences (General) HD Industries. Land use. Labor TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/36609/1/7.%202021_The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management%20the%20perspective%20of%20Malaysia%20manufactu.pdf http://umpir.ump.edu.my/id/eprint/36609/7/The%20role%20of%20big%20data%20and%20predictive%20analytics%20capabilities%20in%20supply%20chain%20management.pdf |
| work_keys_str_mv | AT leekhailoon theroleofbigdataandpredictiveanalyticscapabilitiesinsupplychainmanagementtheperspectiveofmalaysiamanufacturingfirm AT limceanpeing theroleofbigdataandpredictiveanalyticscapabilitiesinsupplychainmanagementtheperspectiveofmalaysiamanufacturingfirm AT leekhailoon roleofbigdataandpredictiveanalyticscapabilitiesinsupplychainmanagementtheperspectiveofmalaysiamanufacturingfirm AT limceanpeing roleofbigdataandpredictiveanalyticscapabilitiesinsupplychainmanagementtheperspectiveofmalaysiamanufacturingfirm |