The Influence of Firm’s Top Management Team Characteristics on Big Data Analytics Capability and Competitive Advantage

ABSTRACTThis study examines the influence of four critical top management team (TMT) characteristics: (i) shared mindset, (ii) education, (iii) social capital, and (iv) the presence of a chief data officer on a firm’s ability to orchestrate big data analytic capabilities to achieve competitive advantage. Our study’s results indicate that education and social capital of the TMT have a significant positive impact on the firm’s ability to orchestrate big data analytics capabilities for competitive advantage.KEYWORDS: big dataanalytic capabilitiescompetitive advantagetop management team characteristicsorchestrationmultimethodshared TMT mindseteducationsocial capitalchief data officerchief analytic officer Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsSujatha RayburnSujatha Rayburn has worked in the Data Analytics area for more than 20 years and takes pride in calling herself a “data evangelist”. As an experienced Data Analytics Executive, Sujatha has put her expertise to work by leading cross industry teams in the implementation of business value-oriented data analytic solutions. Currently, she is the VP of Information Management Analytics at Delta Community Credit Union where she has pioneered a Data Analytics program that has enabled the credit union to become very data driven. Sujatha is a regular contributor and speaker at various industry, trade conferences, and webinars.Jignya PatelJignya Patel joined the Florida Institute of Technology in 2015 as an assistant professor of Information Systems. She currently directs the Business Applied program at the Nathan Bisk College of Business and is the current chair woman of the Institutional Review Board at FIT. Her research interests include individual use of technology, ethical AI, and human-computer interaction. Her teaching interests include Business Analytics, IT Project Management, and Data Visualization. Her work appears in peer-reviewed journals such as Information Systems Management, Information Technology & People, and Journal of Computer Information Systems, and in prominent conferences such as International Conference of Information Systems and American Conference of Information Systems.Jeffrey P. KaletaJeffrey P. Kaleta is an assistant professor in the Department of Computer Information Systems at Appalachian State University. Jeffrey holds a Ph.D. in Management Information Systems from the University of Memphis and a Master of Management Information Systems from Murray State University. He has spent 10 years working in industry as a design engineer, project leader, and continuous improvement manager. Jeffrey’s research interests include user behaviors in electronic environments, online information search, text analytics, and internet trust, privacy, and risk. His work has been published in scholarly journals including Information Technology and People and Journal of Computer Information Systems.