The Interplay of Human, Organizational, Environmental, and Technological Factors in Business Intelligence Adoption: A Systematic Literature Review

Abstract

Finalidade: O objetivo desta pesquisa é identificar os fatores mais comuns na literatura que influenciam a Adoção de Inteligência Empresarial (BIA) e apresentar as principais abordagens, métodos de análise e estruturas com modelo recentemente usado no estudo da BIA.   Purpose:  The objective of this research is  to identify the most common factors in the literature influencing Business Intelligence Adoption (BIA) and present the main approaches, analysis methods and frameworks with model recently used in the study of BIA.   Theoretical framework: Business intelligence (BI) has become a significant subject of study for both practitioners and researchers, due to its capabilities to apply data analytics and produce key information to support business decision-making. The literature indicates that most organizations have not succeeded in fully leveraging the benefits of BI, Furthermore, there is a limited availability of studies that investigate the human aspect. We also notice the absence of a relevant review of previous literature on the methods and approaches to analyse the BIA context, as well as the determination of adoption factors with a particular emphasis on human axis. The review aims to identify the most common factors in the literature for Business Intelligence Adoption (BIA) and present the main approaches, analysis methods and frameworks with model recently used in the study of BIA.   Methods: This study adopts a systematic literature review by selecting and analysing 32 relevant studies published between 2012 and 2022 from two reputable databases, Science Direct and Web of Science. Content analysis was employed to scrutinize the selected article and identify the factors and characteristics that influence the adoption of Business Intelligence.   Findings: The research unveiled over seventy TOE factors and twenty-four distinct human factors relevant to Business Intelligence Adoption. These findings help elucidate the multifaceted nature of BIA and the key elements that drive its adoption.   Practical implications: This study enhances the existing body of knowledge by providing a thorough analysis of methodologies and approaches used in BIA research, while also advancing the understanding of adoption factors, especially those related to the human dimension.   Originality/Value The originality lies in its emphasis on the main approaches, analysis methods, and recently used models in the study of BIA. Furthermore, it enhances the field's originality and value by categorizing adoption factors within the TOE framework and giving special attention to human factors.