Big data analytics capability as a major antecedent of firm innovation performance
| Autor: | Gu Fan, Zahid Yousuf, Chen Kun Yu, Aneela Qadir, Waqar Ahmed, Arshad Muhammad |
|---|---|
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | The International Journal of Entrepreneurship and Innovation. 23:268-279 |
| ISSN: | 2043-6882 1465-7503 |
| Popis: | Purpose: This study aimed to investigate the big data analytics capabilities (BDAC) model using resource-based theory (RBT) and dimensions of big data analytics (management, technological, and talent) that influenced the firm innovation performance. Design/methodology/approach: The research uses quantitative research design where 548 respondents were selected for the survey from Pakistan electronic media regulatory authority (PEMRA), national database and registration authority (NADRA), and cellular companies. Only 394 useable responses were received from the respondents. Findings: The findings revealed that BDAC has a statistically positive impact on firm innovation performance. All of the proposed hypotheses were approved in this study. Research limitations/implications: The study gives future direction to the researchers and practitioners to implement this model in other industries. Practical implications: The research makes important theoretical and methodological contributions to the business and society's nexus in developing country firms that are under economic pressure. Originality/value: The paper is new in the context of the developing firm's innovation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|