Analytics-based decision-making for service systems: A qualitative study and agenda for future research. (October 2019)

• Record Type: Journal Article
• Authors: Akter, Shahriar; Bandara, Ruwan; Hani, Umme; Fosso Wamba, Samuel; Foropon, Cyril; Papadopoulos, Thanos
• Is Part Of: International journal of information management. Volume 48(2019)
• Page Start: 85
• Page End: 95
• Publication Date: 2019-10
• Subjects: Big data analytics -- Decision-making -- Service systems; Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2019.01.020
• Languages: English
• ISSNs: 0268-4012

Abstract

Highlights: This study proposes a set of six-steps process for decision making in service systems analytics. Research methods consist of a literature review, thematic analysis and interview findings. It provides future research agenda and a guide for industry practitioners in service systems analytics. Abstract: While the use of big data tends to add value for business throughout the entire value chain, the integration of big data analytics (BDA) to the decision-making process remains a challenge. This study, based on a systematic literature review, thematic analysis and qualitative interview findings, proposes a set of six-steps to establish both rigor and relevance in the process of analytics-driven decision-making. Our findings illuminate the key steps in this decision process including problem definition, review of past findings, model development, data collection, data analysis as well as actions on insights in the context of service systems. Although findings have been discussed in a sequence of steps, the study identifies them as interdependent and iterative. The proposed six-step analytics-driven decision-making process, practical evidence from service systems, and future research agenda, provide altogether the foundation for future scholarly research and can serve as a step-wise guide for industry practitioners.