An empirical investigation of impact of organizational factors on big data adoption

Abstract

Big data and Analytics (BDA) is one of the most talked about technology trend having a widespread impact on organizational value chain. The objective of the study is to explore and examine the key organizational factors that impact the big data adoption in service organizations. A research framework—grounded in organizational theories and IT adoption—examines the impact of four organizational variables on big data adoption and finds that three of them have a strong positive impact. The survey instrument is developed by employing rigorous measurement scales. The study targeted around 500 service organizations headquartered at Mumbai; of which 109 suitable responses are received. Structural equation modeling using the variance based, prediction-oriented PLS model estimation—SmartPLS is applied for testing. The precision estimation and standard errors are evaluated using bootstrapping with 109 cases and 300 samples (resamples).