Big data analytics capabilities and firm performance: An integrated MCDM approach

Yasmin M., Tatoglu E., KILIÇ H. S., ZAİM S., Delen D.

JOURNAL OF BUSINESS RESEARCH, cilt.114, ss.1-15, 2020 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 114
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.jbusres.2020.03.028
  • Dergi Adı: JOURNAL OF BUSINESS RESEARCH
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, ABI/INFORM, Business Source Elite, Business Source Premier, CAB Abstracts, INSPEC, Psycinfo, Public Affairs Index, Veterinary Science Database
  • Sayfa Sayıları: ss.1-15
  • Anahtar Kelimeler: Big data analytics, Resource-based view, Dynamic capabilities, Multi-criteria decision-making, Firm performance, Emerging markets, INFORMATION-TECHNOLOGY CAPABILITY, DECISION-MAKING, BUSINESS ANALYTICS, NETWORK PROCESS, MEDIATING ROLE, ANP APPROACH, MANAGEMENT, SELECTION, DEMATEL, SYSTEM
  • Marmara Üniversitesi Adresli: Evet

Özet

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.