Big data analytics capabilities and firm performance: An integrated MCDM approach
| Autor: | Huseyin Selcuk Kilic, Ekrem Tatoglu, Mariam Yasmin, Dursun Delen, Selim Zaim |
|---|---|
| Přispěvatelé: | Yasmin, Mariam, Tatoğlu, Ekrem |
| Rok vydání: | 2020 |
| Předmět: |
Marketing
business.industry Computer science media_common.quotation_subject Analytic network process Multi-criteria Decision-making 05 social sciences Big data Multiple-criteria decision analysis Dynamic Capabilities Industrial engineering Resource-based View Weighting Interdependence Firm Performance Big Data Analytics 0502 economics and business Resource-based view 050211 marketing Dynamic capabilities Human resources business Emerging Markets 050203 business & management media_common |
| Zdroj: | Journal of Business Research. 114:1-15 |
| ISSN: | 0148-2963 |
| DOI: | 10.1016/j.jbusres.2020.03.028 |
| Popis: | This study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making trial and evolution laboratory (IF-DEMATEL), analytic network process (ANP), and simple additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the firm performance. The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and human resource capabilities, respectively. The SAW results indicate an association between BDA capabilities and firm performance. Moreover, BDA capabilities are more strongly related to operational performance than to market performance. This study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making trial and evolution laboratory (IF-DEMATEL), analytic network process (ANP), and simple additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the firm performance. The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and human resource capabilities, respectively. The SAW results indicate an association between BDA capabilities and firm performance. Moreover, BDA capabilities are more strongly related to operational performance than to market performance. |
| Databáze: | OpenAIRE |
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