Management of Big data: An empirical investigation of the Too-Much-of-a-Good-Thing effect in medium and large firms

Claudio Vitari (), Elisabetta Raguseo and Federico Pigni
Additional contact information
Claudio Vitari: CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon, AMU - Aix Marseille Université
Elisabetta Raguseo: Polito - Politecnico di Torino = Polytechnic of Turin
Federico Pigni: EESC-GEM Grenoble Ecole de Management

Post-Print from HAL

Abstract: Firms adopt Big data solutions, but a body of evidence suggests that Big data in some cases may create more problems than benefits. We hypothesize that the problem may not be Big data in itself but rather too much of it. These kinds of effects echo the Too-Much-of-a-Good-Thing (TMGT) effect in the field of management. This theory also seems meaningful and applicable in management information systems. We contribute to assessments of the TMGT effect related to Big data by providing an answer to the following question: When does the extension of Big data lead to value erosion? We collected data from a sample of medium and large firms and established a set of regression models to test the relationship between Big data and value creation, considering firm size as a moderator. The data confirm the existence of both an inverted U-shaped curve and firm size moderation. These results extend the applicability of the TMGT effect theory and are useful for firms exploring investments in Big data.

Keywords: Too-Much-of-a-Good-Thing effect; inverted U-shaped curve; Big data; business value; medium and large firms (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-bec, nep-big, nep-cse and nep-sbm
Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03876785v1
References: Add references at CitEc
Citations:

Published in Systèmes d'Information et Management, 2022, Volume 27 (3), pp.87-122. ⟨10.3917/sim.223.0087⟩

Downloads: (external link)
https://amu.hal.science/hal-03876785v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03876785

DOI: 10.3917/sim.223.0087

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().