Adoption and Diffusion of Big Data Innovations: A Cross-Industry Analysis of Enabling Factors
Anushka Rao
Department of Business Administration Tribhuvan University, Nepal
Suresh Kumar Sahani
MIT Campus, TU,Janakpur, Nepal
Keywords: Big Data Analytics, Adoption, Enablers, Leadership, Cross-Industry Analysis
Abstract
Big data analytics has emerged as a disruptive innovation with tremendous potential to transform operations, decisions, and competitive strategy across diverse industries. However, despite the purported benefits, the adoption and diffusion of big data innovations remain limited due to technological, organizational, and institutional barriers. This research conducts an in-depth, comparative cross-industry analysis to uncover the key enablers for successful big data adoption. Qualitative case studies of leading organizations in the healthcare, retail, financial services, and manufacturing sectors examine their big data adoption processes, challenges faced, and organizational and institutional factors that facilitated adoption. The findings reveal top management championship and leadership vision as critical for strategic direction, resource allocation and management change. Developing a culture of experimentation and controlled risk-taking enables explorations with uncertain big data innovations. Making substantial investments in data infrastructure and analytical tools facilitates integration and analysis capabilities. Talent development through recruitment, training and partnerships is essential to build analytical capabilities. Incentivizing and embedding data-driven decision making ensures utilization of insights. Careful change management and employee engagement minimizes disruption. While institutional pressures are not the main initial drivers, they create growing regulative, normative, and mimetic pressures across industries for big data adoption. This study offers organizations guidance on the capabilities to be developed and leadership approaches to be undertaken to successfully adopt and diffuse big data innovations. It contributes to theory by providing a nuanced, cross-industry analysis of organizational and institutional enablers of big data adoption.
Author Biography
Suresh Kumar Sahani, MIT Campus, TU,Janakpur, Nepal
