Cross-Industry Analysis of Innovation Diffusion Patterns

Authors

  • Dr. Arvind K. Sharma Department of Innovation Management, Global Institute of Technology & Management Author
  • Prof. Meenakshi Iyer Department of Industrial Economics, Eastern University of Commerce Author

Keywords:

Innovation diffusion, Technology adoption, Cross-industry analysis, Digital transformation, Diffusion of innovation theory

Abstract

Innovation diffusion is the process through which new ideas, technologies, and practices spread within and across industries over time. While the principles of diffusion are well established, the speed, pattern, and success of innovation adoption vary significantly across industries due to technological complexity, regulatory environments, capital intensity, consumer behavior, and organizational readiness. This study presents a comprehensive cross-industry analysis of innovation diffusion patterns across five major sectors: Information Technology, Healthcare, Manufacturing, Retail, and Financial Services. Drawing on diffusion of innovation theory, institutional theory, and technology acceptance models, this paper develops a comparative conceptual framework explaining inter-industry variation in adoption speed and resistance. The study further analyzes key enablers and barriers of diffusion and highlights how digital transformation is reshaping traditional diffusion curves. The findings suggest that industry structure and regulatory intensity significantly moderate innovation adoption trajectories. The paper concludes with practical implications for innovation managers, policymakers, and researchers.

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Published

17-06-2022

How to Cite

Cross-Industry Analysis of Innovation Diffusion Patterns. (2022). Canadian Journal of Marketing Research, 12(2). https://canadian-jmr.com/index.php/cjmr/article/view/24

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