Abstract:

Purpose - This paper aims to improve the understanding about business analytics (BA) adoption by using 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 ease-of-use, whereas performance quality improves perceived usefulness and interaction quality improves both perceived usefulness and perceived ease-of-use. 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.

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