The determinants of business analytics adoption: does one-size fit all?

Bayram, Nazlı and Akın Ateş, Melek (2020) The determinants of business analytics adoption: does one-size fit all? İşletme Araştırmaları Dergisi, 12 (1). pp. 583-598. ISSN 1309-0712

Full text not available from this repository. (Request a copy)


Purpose – This paper aims to improve the understanding about business analytics (BA) adoption by utilizing a contingency perspective examining the interplay between individual-, system-, and organizational-level determinants through the combined theoretical lenses of technology acceptance model (TAM) and IS quality model. Design/methodology/approach – Data was collected by means of a survey conducted among BA tools users working in a variety of industries in Turkey and 91 responses were obtained. The moderating effect of an organizational level contingency – analytical decision-making culture (ADMC) – on the relationships between individual- and system-level factors was tested via the partial least squares (PLS) method. Findings – The results provide strong support for the moderating effect of an organizational-level contingency – analytical decision-making culture (ADMC). More specifically, we find that in low ADMC environments, information quality improves perceived usefulness whereas performance quality and interaction quality improve perceived ease-of-use. Surprisingly, in high ADMC environments information quality does not have an effect on perceived usefulness or perceived easeof-use, whereas performance quality improves perceived usefulness and interaction quality improves both perceived usefulness and perceived ease-of-use. Discussion – This study is one of the few to examine the increasingly popular BA adoption issue in a developing country context. The findings illustrate to both managers and BA system providers that under different organizational cultures, users’ needs and perceptions vary; therefore different BA system quality characteristics should be emphasized for successful implementation.
Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Depositing User: Melek Akın Ateş
Date Deposited: 06 Sep 2020 09:44
Last Modified: 06 Sep 2020 09:44

Actions (login required)

View Item
View Item