TY - JOUR
T1 - Building dynamic service analytics capabilities for the digital marketplace
AU - Akter, Shahriar
AU - Motamarri, Saradhi
AU - Hani, Umme
AU - Shams, Riad
AU - Fernando, Mario
AU - Mohiuddin Babu, Mujahid
AU - Ning Shen, Kathy
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/9
Y1 - 2020/9
N2 - 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.
AB - 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.
KW - Big data
KW - Customer experience
KW - Dynamic service analytics capabilities (DSAC)
KW - Research agenda
KW - Service systems
UR - http://www.scopus.com/inward/record.url?scp=85087315155&partnerID=8YFLogxK
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U2 - 10.1016/j.jbusres.2020.06.016
DO - 10.1016/j.jbusres.2020.06.016
M3 - Article
AN - SCOPUS:85087315155
SN - 0148-2963
VL - 118
SP - 177
EP - 188
JO - Journal of Business Research
JF - Journal of Business Research
ER -