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Building dynamic service analytics capabilities for the digital marketplace

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  • Akter, Shahriar
  • Motamarri, Saradhi
  • Hani, Umme
  • Shams, Riad
  • Fernando, Mario
  • Mohiuddin Babu, Mujahid
  • Ning Shen, Kathy

Abstract

Service firms are now interacting with customers through a multitude of channels or touchpoints. This progression into the digital realm is leading to an explosion of data, and warranting advanced analytic methods to manage service systems. Known as big data analytics, these methods harness insights to deliver, serve, and enhance the customer experience in the digital marketplace. Although global economies are becoming service-oriented, little attention is paid to the role of analytics in service systems. As such, drawing on a systematic literature review and thematic analysis of 30 in-depth interviews, this study aims to understand the nature of service analytics to identify its capability dimensions. Integrating the diverse areas of research on service systems, big data and dynamic capability theories, we propose a dynamic service analytics capabilities (DSAC) framework consisting of management, technology, talent, data governance, model development, and service innovation capability. We also propose a future research agenda to advance DSAC research for the emerging service systems in the digital marketplace.

Suggested Citation

  • Akter, Shahriar & Motamarri, Saradhi & Hani, Umme & Shams, Riad & Fernando, Mario & Mohiuddin Babu, Mujahid & Ning Shen, Kathy, 2020. "Building dynamic service analytics capabilities for the digital marketplace," Journal of Business Research, Elsevier, vol. 118(C), pages 177-188.
    • Handle: RePEc:eee:jbrese:v:118:y:2020:i:c:p:177-188
    DOI: 10.1016/j.jbusres.2020.06.016
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    1. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
    2. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    3. Bresciani, Stefano & Ferraris, Alberto & Del Giudice, Manlio, 2018. "The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 331-338.
    4. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    5. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    6. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    7. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    8. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
    9. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
    10. Yasmin, Mariam & Tatoglu, Ekrem & Kilic, Huseyin Selcuk & Zaim, Selim & Delen, Dursun, 2020. "Big data analytics capabilities and firm performance: An integrated MCDM approach," Journal of Business Research, Elsevier, vol. 114(C), pages 1-15.
    11. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    12. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    13. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    14. Carl Shapiro, 1989. "The Theory of Business Strategy," RAND Journal of Economics, The RAND Corporation, vol. 20(1), pages 125-137, Spring.
    15. Oliveira, Pedro & von Hippel, Eric, 2011. "Users as service innovators: The case of banking services," Research Policy, Elsevier, vol. 40(6), pages 806-818, July.
    16. Ardito, Lorenzo & Ferraris, Alberto & Messeni Petruzzelli, Antonio & Bresciani, Stefano & Del Giudice, Manlio, 2019. "The role of universities in the knowledge management of smart city projects," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 312-321.
    17. Vidgen, Richard & Hindle, Giles & Randolph, Ian, 2020. "Exploring the ethical implications of business analytics with a business ethics canvas," European Journal of Operational Research, Elsevier, vol. 281(3), pages 491-501.
    18. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    19. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    20. Opresnik, David & Taisch, Marco, 2015. "The value of Big Data in servitization," International Journal of Production Economics, Elsevier, vol. 165(C), pages 174-184.
    21. Constance E. Helfat & Margaret A. Peteraf, 2015. "Managerial cognitive capabilities and the microfoundations of dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 36(6), pages 831-850, June.
    22. Akter, Shahriar & Wamba, Samuel Fosso & D’Ambra, John, 2019. "Enabling a transformative service system by modeling quality dynamics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 210-226.
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