Exploring data conditions to improve business performance
Visualitza/Obre
10.1080/01605682.2019.1590136
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/133774
Tipus de documentArticle
Data publicació2021-06
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Past researches drew from the industrial organization perspective have examined the role of the data to generate competitive advantage. Their analysis show data is a valuable resource that can leverage business partnerships, vertical integration, or diversification. The emergence of data science has created new opportunities to understand better clients’ needs and to manage more efficiently the organizations’ processes. Nevertheless, if data analytics represent an enormous potential, many organizations are still looking the conditions to obtain value from them. Our study contributes to this topical subject analysing the relationship between different combinations of data conditions and the company performance that we measure through the Customer management and Provider operations efficiency. Our methodology is novel compared to previous researches which are based in linear algebra. It is based on the use of a fuzzy-set qualitative comparative analysis (fsQCA) which allows to reveal multiple paths to achieve the possible outcomes. Our results show that the consistency, completeness, and protection of the data along with a data-driven company profile are different possible solutions to a better Customer management and Provider operations efficiency. Our conclusions allow practitioners to uncover the strength of the data in the hopes of solving many of their business performance concerns
CitacióGrimaldi, D.; Fernandez, V.; Carrasco, C. Exploring data conditions to improve business performance. "Journal of the Operational Research Society", juny 2021, vol. 72, num. 5, p. 1087-1098.
ISSN0160-5682
Versió de l'editorhttps://www.tandfonline.com/doi/abs/10.1080/01605682.2019.1590136
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