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Research Article

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

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References

  • Abbasi, A., Sarker, S., & Chiang, R. (2016). Big data research in information systems: toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), 1–32. https://doi.org/10.17705/1jais.00423
  • Adner, R., & Helfat, C. E. (2003). Corporate effects and dynamic managerial capabilities. Strategic Management Journal, 24(10), 1011–1025. https://doi.org/10.1002/smj.331
  • Afshar Jahanshahi, A., & Brem, A. (2017). Sustainability in SMEs: Top management teams behavioral integration as source of innovativeness. Sustainability, 9(10), 1899. https://doi.org/10.3390/su9101899
  • Agarwal, R., & Karahanna, E. (2000). Personal innovativeness in domain of information technology (PIIT). MIS Quarterly, 24(2), 665–694. https://doi.org/10.2307/3250951
  • Akhtar, N. K., Bahaudin, R. A., & Mujtaba, G. (2013). Exploring and measuring organizational learning capability and competitive advantage of petroleum industry firms. International Business and Management, 6(1), 89–103. https://doi.org/10.3968/j.ibm.1923842820130601.1170
  • Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131. https://doi.org/10.1016/j.ijpe.2016.08.018
  • Alexander, D. T. (2018). Building Big Data Analytics as a Strategic Capability in Industrial Firms: Firm-level Capabilities and Project Level Practices [Unpublished doctoral dissertation]. Case Western Reserve University,
  • Ambrosini, V., & Altintas, G. (2019). Dynamic managerial capabilities. Oxford Research Encyclopedia of Business and Management. https://doi.org/10.1093/acrefore/9780190224851.013.20
  • Anton, E., Oesterreich, T. D., & Teuteberg, F. (2021). Understanding the operational value of big data analytics capabilities for firm performance: A meta-analytic structural equation modeling approach. In Forty-Second International Conference on Information Systems, Austin. Texas
  • Barkema, H. G., & Shvyrkov, O. (2007). Does top management team diversity promote or hamper foreign expansion? Strategic Management Journal, 28(7), 663–680. https://doi.org/10.1002/smj.604
  • Baum, J., & Wally, S. (2003). Strategic decision speed and firm performance. Strategic Management Journal, 24(11), 1107–1129. https://doi.org/10.1002/smj.343
  • Bean, R. (2021), “NewVantage Partners Releases 2021 Big Data and AI Executive Surveyhttps://www.businesswire.com/news/home/20210104005022/en/NewVantage-Partners-Releases-2021-Big-Data-and-AI-Executive-Survey
  • Beck, J. B., & Wiersema, M. F. (2013). Executive decision making. Journal of Leadership and Organizational Studies, 20(4), 408–419. https://doi.org/10.1177/1548051812471722
  • Bhatt, G. D., & Grover, V. (2005). Types of information technology capabilities and their role in competitive advantage: An empirical study. Journal of Management Information Systems, 22(2), 253–277. https://doi.org/10.1080/07421222.2005.11045844
  • Big Data and AI Executive Survey. (2022). New vantage partners. Retrieved March 2, 2023 from https://www.newvantage.com/thoughtleadership.
  • Boivie, S., Graffin, S. D., Oliver, A. G., & Withers, M. C. (2016). Come aboard! Exploring the effects of directorships in the executive labor market. Academy of Management Journal, 59(5), 1681–1706. https://doi.org/10.5465/amj.2014.0840
  • Brown, B., Court, D., & Willmott, P. (2013). Mobilizing your C-suite for big-data analytics. The McKinsey Quarterly.
  • Burkert, M., & Lueg, R. (2013). Differences in the sophistication of value-based management–the role of top executives. Management Accounting Research, 24(1), 3–22. https://doi.org/10.1016/j.mar.2012.10.001
  • Buyl, T., Boone, C., Hendriks, W., & Matthyssens, P. (2011). Top management team functional diversity and firm performance: The moderating role of CEO characteristics. Journal of Management Studies, 48(1), 151–177. https://doi.org/10.1111/j.1467-6486.2010.00932.x
  • Carpenter, M. A., Geletkanycz, M. A., & Sanders, W. G. (2004). Upper echelons research revisited: Antecedents, elements, and consequences of top management team composition. Journal of Management, 30(6), 749–778. https://doi.org/10.1016/j.jm.2004.06.001
  • Castanias, R. P., & Helfat, C. E. (2001). The managerial rents model: Theory and empirical analysis. Journal of Management, 27(6), 661–678. https://doi.org/10.1177/014920630102700604
  • Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the use of big data analytics affects value creation in supply chain management. Journal of Management Information Systems, 32(4), 4–39. https://doi.org/10.1080/07421222.2015.1138364
  • Chin, J. K., Hagstroem, M., Libarikian, A., & Rifai, K. (2017, July). Advanced analytics: Nine insights from the C-suite. https://www.Mckinsey.com/business-Functions/mckinsey-Analytics/our-Insights/advanced-Analytics-Nine-Insights-From-The-C-Suite#.
  • Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
  • Corrêa, R. O., Bueno, E. V., Kato, H. T., & Silva, L. M. D. O. (2019). Dynamic managerial capabilities: Scale development and validation. Managerial and Decision Economics, 40(1), 3–15. https://doi.org/10.1002/mde.2974
  • Dahiya, R., Le, S., Ring, J. K., & Watson, K. (2022). Big data analytics and competitive advantage: The strategic role of firm-specific knowledge. Journal of Strategy and Management, 15(2), 175–193.
  • Davenport, T. H. (2021). Enterprise adoption and management of artificial intelligence. Management and Business Review, 1(1). https://ssrn.com/abstract=3916451
  • Davenport, T. H., & Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business Press.
  • Dykes, B. (2019). The four key pillars to fostering a data-driven culture. Forbes. www.forbes.com/sites/brentdykes/2019/03/28/the-four-key-pillars-to-fostering-a-data-driven-culture/#4ab53a567d90
  • Eisenhardt, K. M., & Schoonhoven, C. B. (1990). Organizational growth: Linking founding team, strategy, environment, and growth among U.S. semiconductor ventures, 1978-1988. Administrative Science Quarterly, 35(3), 504. https://doi.org/10.2307/2393315
  • Feinzig, S. L., & Guenole, N. (2020). Data-driven cultures start at the top. Harvard Business Review. https://hbr.org/2020/02/data-driven-cultures-start-at-the-top
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Gandhi, S., Thota, B., Kuchembuck, R., & Swartz, J. (2018). Demystifying data monetization. MIT Sloan Management Review, 1–9.
  • Garg, V. K., Walters, B. A., & Andpp Priem, R. L. (2003). Chief executive scanning emphases, environmental dynamism, and manufacturing firm performance. Strategic Management Journal, 24(8), 725–744. https://doi.org/10.1002/smj.335
  • Ghasemaghaei, M. (2018). Improving organizational performance through the use of big data. Journal of Computer Information Systems, 1–14. https://doi.org/10.1080/08874417.2018.1496805
  • Grover, V., Chiang, R. H., Liang, T., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388–423. https://doi.org/10.1080/07421222.2018.1451951
  • Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004
  • Haffke, I., Kalgovas, B. J., & Benlian, A. (2016). The role of the CIO and the CDO in an Organization’s digital transformation. In Proceedings of Thirty Seventh International Conference on Information Systems, Dublin.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th(ed) ed.). Prentice Hall.
  • Hambrick, D. C. (2007). Upper echelons theory: An update. Academy of Management Review, 32(2), 334–343. https://doi.org/10.5465/amr.2007.24345254
  • Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. The Academy of Management Review, 9(2), 193. https://doi.org/10.2307/258434
  • Helfat, C. E., Finkelstein, S., Mitchell, W., Peteraf, M., Singh, H., Teece, D., & Winter, S. G. (2007). Dynamic capabilities: Understanding strategic change in organizations. John Wiley and Sons.
  • Helfat, C. E., & Martin, J. A. (2015). Dynamic managerial capabilities. Journal of Management, 41(5), 1281–1312. https://doi.org/10.1177/0149206314561301
  • Henderson, J., & Corry, M. (2021). Data literacy training and use for educational professionals. Journal of Research in Innovative Teaching & Learning, 14(2), 235–244. https://doi.org/10.1108/JRIT-11-2019-0074
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
  • Hitt, M. A., & Duane, R. (2002). The essence of strategic leadership: Managing human and social capital. Journal of Leadership and Organizational Studies, 9(1), 3–14. https://doi.org/10.1177/107179190200900101
  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Jha, A. K., Agi, M. A., & Ngai, E. W. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 138, 113382. https://doi.org/10.1016/j.dss.2020.113382
  • Kor, Y. Y. (2003). Experience-based top management team competence and sustained growth. Organization Science, 14(6), 707–719. https://doi.org/10.1287/orsc.14.6.707.24867
  • Kor, Y. Y., & Misangyi, V. F. (2008). Outside directors’ industry-specific experience and firms’ liability of newness. Strategic Management Journal, 29(12), 1345–1355. https://doi.org/10.1002/smj.709
  • Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387–394. https://doi.org/10.1016/j.ijinfomgt.2014.02.002
  • Laamanen, T., & Wallin, J. (2009). Cognitive dynamics of capability development paths. Journal of Management Studies, 46(6), 950–981. https://doi.org/10.1111/j.1467-6486.2009.00823.x
  • Lee, Y., Madnick, S. E., Wang, R. Y., Wang, F., & Zhang, H. (2014). A cubic framework for the chief data officer: Succeeding in a world of big data. MISQ Executive, 13(1), 1–13. http://hdl.handle.net/1721.1/103027
  • Malgonde, O., & Bhattacherjee, A. (2014). Innovating using big data: A social capital perspective. In proceedings of the Twentieth Americas Conference on Information Systems, Savannah, GA.
  • Martin, J. A. (2011). Dynamic managerial capabilities and the multibusiness team: The role of episodic teams in executive leadership groups. Organization Science, 22(1), 118–140. https://doi.org/10.1287/orsc.1090.0515
  • Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2020). The role of information governance in big data analytics driven innovation. Information & Management, 57(7), 103361. https://doi.org/10.1016/j.im.2020.103361
  • Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085x.2020.1740618
  • Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and E-Business Management, 16(3), 547–578. https://doi.org/10.1007/s10257-017-0362-y
  • Nie, Y., Talburt, J., Li, X., & Xiao, Z. (2018). Chief data officer (CDO) role and responsibility analysis. Journal of Computing Sciences in Colleges, 33(5), 4–12.
  • Oh, W., & Pinsonneault, A. (2007). On the assessment of the strategic value of information technologies: Conceptual and analytical approaches. MIS Quarterly, 31(2), 239–265. https://doi.org/10.2307/25148790
  • Papadopoulos, T., Gunasekaran, A., Dubey, R., & Fosso Wamba, S. (2017). Big data and analytics in operations and supply chain management: Managerial aspects and practical challenges. Production Planning and Control, 28(11–12), 873–876. https://doi.org/10.1080/09537287.2017.1336795
  • Pathak, S., Krishnaswamy, V., & Sharma, M. (2021). Big data analytics capabilities: A novel integrated fitness framework based on a tool-based content analysis. Enterprise Information Systems, 17(1), 1–35. https://doi.org/10.1080/17517575.2021.1939427
  • Pavlou, P. A., & El Sawy, O. A. (2011). Understanding the elusive black box of dynamic capabilities. Decision Sciences, 42(1), 239–273. https://doi.org/10.1111/j.1540-5915.2010.00287.x
  • Peng, X., & Kim, J. (2014). Achieving dynamic capabilities with business intelligence. PACIS 2014 Proceedings 330. https://aisel.aisnet.org/pacis2014/330
  • Peters, M. D., Wieder, B., Sutton, S. G., & Wakefield, J. (2016). Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage. International Journal of Accounting Information Systems, 21, 1–17. https://doi.org/10.1016/j.accinf.2016.03.001
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. SmartPLS GmbH, Boenningstedt. http://www.smartpls.com
  • Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal (AMJ), 27(3), 197–211. https://doi.org/10.1016/J.AUSMJ.2019.05.003
  • Schoemaker, P. J., Heaton, S., & Teece, D. (2018). Innovation, dynamic capabilities, and leadership. California Management Review, 61(1), 15–42. https://doi.org/10.1177/0008125618790246
  • Sirmon, D. G., & Hitt, M. A. (2003). Managing resources: Linking unique resources, management, and wealth creation in family firms. Entrepreneurship Theory and Practice, 27(4), 339–358. https://doi.org/10.1111/1540-8520.t01-1-00013
  • Sirmon, D. G., Hitt, M. A., Ireland, R. D., Gilbert, B. A., Barney, J. B., Ketchen, D. J., & Wright, M. (2011). Resource orchestration to create competitive advantage. Journal of Management, 37(5), 1390–1412. https://doi.org/10.1177/0149206310385695
  • Starbuck, W. H., & Milliken, F. J. (1988). Challenger: Fine‐tuning the odds until something breaks. Journal of Management Studies, 25(4), 319–340. https://doi.org/10.1111/j.1467-6486.1988.tb00040.x
  • Straub, D., & Gefen, D. (2004). Validation guidelines for is positivist research. Communications of the Association for Information Systems, 13, 13. https://doi.org/10.17705/1CAIS.01324
  • Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
  • Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
  • Tian, J. J., Haleblian, J. J., & Rajagopalan, N. (2011). The effects of board human and social capital on investor reactions to new CEO selection. Strategic Management Journal, 32(7), 731–747. https://doi.org/10.1002/smj.909
  • Townsend, D. M., & Busenitz, L. W. (2014). Turning water into wine? Exploring the role of dynamic capabilities in early-stage capitalization processes. Journal of Business Venturing, 30(2), 292–306. https://doi.org/10.1016/j.jbusvent.2014.07.008
  • Vissa, B., & Chacar, A. S. (2009). Leveraging ties: The contingent value of entrepreneurial teams’ external advice networks on Indian software venture performance. Strategic Management Journal, 30(11), 1179–1191. https://doi.org/10.1002/smj.785
  • Wamba, S. F., Akter, S., & De Bourmont, M. (2018). Quality dominant logic in big data analytics and firm performance. Business Process Management Journal, 25(3), 512–532. https://doi.org/10.1108/BPMJ-08-2017-0218
  • Wrede, M., & Dauth, T. (2020). A temporal perspective on the relationship between top management team internationalization and firms’ innovativeness. Managerial and Decision Economics, 41(4), 542–561. https://doi.org/10.1002/mde.3119
  • Xu, F., Zhang, H., & Huang, W. (2016). The value of chief data officer presence on firm performance. In Proceedings of the 20th Pacific Asia Conference on Information Systems, Chiayi, Taiwan.
  • Zahra, S. A., Sapienza, H. J., & Davidsson, P. (2006). Entrepreneurship and dynamic capabilities: A review, model and research agenda. Journal of Management Studies, 43(4), 917–955. https://doi.org/10.1111/j.1467-6486.2006.00616.x
  • Zhanglan, Y., Awino, Z. B., Yabs, J., & Wainaina, G. (2021). Top management team characteristics and managerial discretion on sustainable competitive advantage: An empirical investigation. Academic Journal of Business and Management, 3(7), 50–57.
  • Zheng, L. J., Zhang, J. Z., Wang, H., & Hong, J. F. (2022). Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs: A Data-agility-innovation perspective. Annals of Operations Research, 1–29.

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