The effects of big data analytics capabilities on agile software development practices and project performance: a dynamic capabilities view perspective

Purpose A survey of 153 Brazilian agile software development (ASD) professionals was conducted to meet the study’s objectives. Data were analyzed using partial least squares structural equation modeling (PLS-SEM). Design/methodology/approach ASD practices have been greatly influenced by digital technologies, including big data analytics (BDA). BDA capabilities refer to the ability of companies to continuously use extensive collections of data, bringing together different types of knowledge and analytical techniques with the strategic aim of creating value and sustaining competitive advantages. Grounded on the dynamic capabilities view (DCV) theory, this study assessed the effects that ASD practices have on project performance. In addition, this study investigated whether BDA capabilities have a moderating or mediating effect on this relationship. Findings Findings suggest that agile practices account for 51.72% of the variance in project performance, reinforcing their significance in the successful management of software projects. However, a meaningful impact of BDA capabilities on project performance within agile environments was not observed. Possible reasons for this finding are presented and include BDA maturity level and company size as most relevant. Originality/value Our study opens new avenues for future research and theoretical developments on how BDA capabilities can be effectively integrated with agile methodologies to influence project performance positively.