Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia
Big Data Analytics (BDA) is one of the most digital innovations for supporting supply chain firms’ activities. Empirically, multiple benefits of BDA in Supply Chain Management (SCM) have been demonstrated. The study aimed to investigate the relationship between technical, organizational, and environ...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LLC "CPC "Business Perspectives"
2022-10-01
|
| Series: | Knowledge & Performance Management |
| Subjects: | |
| Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17163/KPM_2022_01_Hamed.pdf |
| _version_ | 1828105756129361920 |
|---|---|
| author | Adel Hamed Abdul Manaf Bohari |
| author_facet | Adel Hamed Abdul Manaf Bohari |
| author_sort | Adel Hamed |
| collection | DOAJ |
| description | Big Data Analytics (BDA) is one of the most digital innovations for supporting supply chain firms’ activities. Empirically, multiple benefits of BDA in Supply Chain Management (SCM) have been demonstrated. The study aimed to investigate the relationship between technical, organizational, and environmental factors and supply chain firms’ performance using the Technology-Organization-Environment (TOE) framework and the Diffusion of Innovation (DOI) theory. This study was conducted at medium-large supply chain firms in Saudi Arabia, the sample size reached 700 firms recognized by Saudi Arabia’s Ministry of Commerce and Industry in different domains. In this study, a questionnaire was used to collect primary data. The collected data are analyzed using SPSS version 26.0. SPSS is used to describe respondents’ demographic profiles. The percentage of respondents to the questionnaire reached 57%. In addition, to test hypotheses and accomplish research goals, PLS-SEM version 3.0 is used to examine the relationship between independent and dependent variables. From the PLS results, the study reported that complexity (β = 0.097, t = 2.817), security (β = 0.222, t = 3.486), IT expertise (β = 0.108, t = 1.993), and external support (β = 0.211, t = 3.468) were positively related to firm’s performance; in contrast, relative advantage (β = –0.006, t = 0.200), compatibility (β = –0.020, t = 0.314), top management support (β = –0.046, t = 0.386), organizational resources (β = –0.065, t = 1.179), competitive pressure (β = –0.011, t = 0.199), and privacy (β = –0.05, t = 0.872) were negatively related to firm’s performance. |
| first_indexed | 2024-04-11T10:07:15Z |
| format | Article |
| id | doaj.art-602ac0cf8cf44791a4ad3ad74ab3ef98 |
| institution | Directory Open Access Journal |
| issn | 2543-5507 2616-3829 |
| language | English |
| last_indexed | 2024-04-11T10:07:15Z |
| publishDate | 2022-10-01 |
| publisher | LLC "CPC "Business Perspectives" |
| record_format | Article |
| series | Knowledge & Performance Management |
| spelling | doaj.art-602ac0cf8cf44791a4ad3ad74ab3ef982022-12-22T04:30:11ZengLLC "CPC "Business Perspectives"Knowledge & Performance Management2543-55072616-38292022-10-0161627410.21511/kpm.06(1).2022.0617163Adoption of big data analytics in medium-large supply chain firms in Saudi ArabiaAdel Hamed0https://orcid.org/0000-0001-9443-3939Abdul Manaf Bohari1Ph.D. Candidate, Lecturer, School of Business Management (SBM), College of Business (COB), University Utara Malaysia (UUM), Sintok, Kedah Darul AmanPh.D. in Geographical Information Systems, Associate Professor, School of Business Management (SBM), College of Business (COB), University Utara Malaysia (UUM), Sintok, Kedah Darul AmanBig Data Analytics (BDA) is one of the most digital innovations for supporting supply chain firms’ activities. Empirically, multiple benefits of BDA in Supply Chain Management (SCM) have been demonstrated. The study aimed to investigate the relationship between technical, organizational, and environmental factors and supply chain firms’ performance using the Technology-Organization-Environment (TOE) framework and the Diffusion of Innovation (DOI) theory. This study was conducted at medium-large supply chain firms in Saudi Arabia, the sample size reached 700 firms recognized by Saudi Arabia’s Ministry of Commerce and Industry in different domains. In this study, a questionnaire was used to collect primary data. The collected data are analyzed using SPSS version 26.0. SPSS is used to describe respondents’ demographic profiles. The percentage of respondents to the questionnaire reached 57%. In addition, to test hypotheses and accomplish research goals, PLS-SEM version 3.0 is used to examine the relationship between independent and dependent variables. From the PLS results, the study reported that complexity (β = 0.097, t = 2.817), security (β = 0.222, t = 3.486), IT expertise (β = 0.108, t = 1.993), and external support (β = 0.211, t = 3.468) were positively related to firm’s performance; in contrast, relative advantage (β = –0.006, t = 0.200), compatibility (β = –0.020, t = 0.314), top management support (β = –0.046, t = 0.386), organizational resources (β = –0.065, t = 1.179), competitive pressure (β = –0.011, t = 0.199), and privacy (β = –0.05, t = 0.872) were negatively related to firm’s performance.https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17163/KPM_2022_01_Hamed.pdfdiffusion of innovationperformanceSaudi Arabiasupply chain managementtechnology-organization-environment |
| spellingShingle | Adel Hamed Abdul Manaf Bohari Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia Knowledge & Performance Management diffusion of innovation performance Saudi Arabia supply chain management technology-organization-environment |
| title | Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia |
| title_full | Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia |
| title_fullStr | Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia |
| title_full_unstemmed | Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia |
| title_short | Adoption of big data analytics in medium-large supply chain firms in Saudi Arabia |
| title_sort | adoption of big data analytics in medium large supply chain firms in saudi arabia |
| topic | diffusion of innovation performance Saudi Arabia supply chain management technology-organization-environment |
| url | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17163/KPM_2022_01_Hamed.pdf |
| work_keys_str_mv | AT adelhamed adoptionofbigdataanalyticsinmediumlargesupplychainfirmsinsaudiarabia AT abdulmanafbohari adoptionofbigdataanalyticsinmediumlargesupplychainfirmsinsaudiarabia |