What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view
Abstract Big data analytics (BDA) is widely adopted by many firms to gain competitive advantages. However, some empirical studies have found an inconsistent relationship between BDA and firm performance (FP). Therefore, an underlying mediating mechanism may exist that facilitates their relationship....
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| Format: | Article |
| Language: | English |
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Springer Nature
2025-01-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-024-04284-8 |
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| author | Zongyuan Liu Harcharanjit Singh Mahinder Singh Fatema Al Shibli |
| author_facet | Zongyuan Liu Harcharanjit Singh Mahinder Singh Fatema Al Shibli |
| author_sort | Zongyuan Liu |
| collection | DOAJ |
| description | Abstract Big data analytics (BDA) is widely adopted by many firms to gain competitive advantages. However, some empirical studies have found an inconsistent relationship between BDA and firm performance (FP). Therefore, an underlying mediating mechanism may exist that facilitates their relationship. Based on the dynamic capabilities view (DCV) theory, this study aims to investigate the relationships among BDA, organizational agility (OA), and FP through meta-analysis. Additionally, we explore the mediating effect of OA on the BDA-FP relationship and the moderating effect of national culture (NC) on the BDA–OA–FP relationship. Furthermore, we examine potential methodological moderators in the BDA-FP relationship. Using the random-effect model, meta-analytic structural equation modeling, subgroup analysis, and meta-regression, we analyzed 34 studies with 42 independent samples conducted between 2019 and 2024. The results indicate that, firstly, BDA has a positive impact on OA and FP. Secondly, OA partially mediates the BDA–FP relationship, especially at the process level. Moreover, individualism and indulgence moderate the BDA–OA relationship, while uncertainty avoidance and long-term orientation moderate the OA–FP relationship at the marginal significance level. Regarding methodological moderators, the time dimension and analytical technique also moderate the BDA–FP relationship. This study contributes to the DCV theory in information system research and provides practical insights for firms. |
| format | Article |
| id | doaj-art-0c622a33143349f7acb351d437cea0c7 |
| institution | Kabale University |
| issn | 2662-9992 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj-art-0c622a33143349f7acb351d437cea0c72025-01-05T12:11:38ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-01-0112112010.1057/s41599-024-04284-8What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural viewZongyuan Liu0Harcharanjit Singh Mahinder Singh1Fatema Al Shibli2Azman Hashim International Business School, Universiti Teknologi MalaysiaAzman Hashim International Business School, Universiti Teknologi MalaysiaAzman Hashim International Business School, Universiti Teknologi MalaysiaAbstract Big data analytics (BDA) is widely adopted by many firms to gain competitive advantages. However, some empirical studies have found an inconsistent relationship between BDA and firm performance (FP). Therefore, an underlying mediating mechanism may exist that facilitates their relationship. Based on the dynamic capabilities view (DCV) theory, this study aims to investigate the relationships among BDA, organizational agility (OA), and FP through meta-analysis. Additionally, we explore the mediating effect of OA on the BDA-FP relationship and the moderating effect of national culture (NC) on the BDA–OA–FP relationship. Furthermore, we examine potential methodological moderators in the BDA-FP relationship. Using the random-effect model, meta-analytic structural equation modeling, subgroup analysis, and meta-regression, we analyzed 34 studies with 42 independent samples conducted between 2019 and 2024. The results indicate that, firstly, BDA has a positive impact on OA and FP. Secondly, OA partially mediates the BDA–FP relationship, especially at the process level. Moreover, individualism and indulgence moderate the BDA–OA relationship, while uncertainty avoidance and long-term orientation moderate the OA–FP relationship at the marginal significance level. Regarding methodological moderators, the time dimension and analytical technique also moderate the BDA–FP relationship. This study contributes to the DCV theory in information system research and provides practical insights for firms.https://doi.org/10.1057/s41599-024-04284-8 |
| spellingShingle | Zongyuan Liu Harcharanjit Singh Mahinder Singh Fatema Al Shibli What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view Humanities & Social Sciences Communications |
| title | What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view |
| title_full | What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view |
| title_fullStr | What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view |
| title_full_unstemmed | What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view |
| title_short | What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view |
| title_sort | what is a recognized mechanism for transforming big data analytics into firm performance a meta analysis from cultural view |
| url | https://doi.org/10.1057/s41599-024-04284-8 |
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