Earticle

초록

영어

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Theoretical Background
2.1. Business Analytics Adoption Stages
2.2. Theoretical Perspectives on Technology Adoption
Ⅲ. Research Methodology
3.1. Selection of Academic Papers
3.2. Data Analysis and Findings
Ⅳ. Discussions
4.1. Organizational Characteristics
4.2. Innovation Characteristics
4.3. Environmental Characteristics
Ⅴ. Conclusions
Ⅵ. Implications and Limitations

키워드

저자

• Amit Kumar [ Doctoral Candidate, NMIMS, School of Business Management, Mumbai, India ] Corresponding Author
• Bala Krishnamoorthy [ Professor, NMIMS, School of Business Management, Mumbai, India ]
• Divakar B Kamath [ Director, Google Cloud, Mumbai, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658