Home⇛Asia Pacific Journal of Management and Sustainable Development⇛vol. 12 no. 3 Part 2 (2024)

Exploring the Digitalization of Business Models-A Study on IT Adoption in Traditional Industries

Neil P. Balba | Herminia B. Gomez | Edna M. Nava | Maria Cristina M. Ramos

Discipline: business studies

 

Abstract:

This study investigates the role of Information Technology (IT) adoption in transforming traditional industries, focusing on its impact on customer satisfaction, revenue growth, operational efficiency, and cost reduction. With the rise of digital technologies, industries such as retail, manufacturing, logistics, and banking are increasingly integrating IT solutions to improve their business models. Through a mixed-methods approach, data was collected via surveys and interviews from executives and managers involved in the IT adoption process. The results indicate that IT adoption significantly improves customer satisfaction and operational efficiency, particularly in sectors like retail, which showed the highest benefits. While retail and manufacturing reported substantial revenue growth and cost reductions, the banking sector faced challenges in leveraging IT due to regulatory constraints and slower integration. The study also identifies common barriers to IT adoption, including skills gaps, integration complexity, and high initial costs. The findings suggest that overcoming these challenges is crucial for traditional industries to fully realize the benefits of digital transformation. The study concludes with recommendations for businesses to invest in employee training, scalable IT solutions, and phased implementation strategies to enhance their digital capabilities and drive sustainable growth.



References:

  1. World Economic Forum, “The future of the digital economy: A global survey,” World Economic Forum, 2023. [Online]. Available: https://www.weforum.org/reports/digital-economy. [Accessed: Oct. 9, 2024].
  2. McKinsey & Company, “Automation and digital transformation in traditional industries,” McKinsey Insights, 2022. [Online]. Available: https://www.mckinsey.com/industries/automation-digital. [Accessed: Jan. 17, 2025].
  3. Statista, “Consumer expectations on personalized business services,” Statista Report, 2023. [Online]. Available: https://www.statista.com/statistics/personalized-services. [Accessed: Oct. 10, 2024].
  4. Gartner, “Barriers to IT adoption in traditional industries: A 2023 report,” Gartner Insights, 2023. [Online]. Available: https://www.gartner.com/reports/barriers-it-adoption. [Accessed: Oct. 10, 2024].
  5. H. Lee and J. Kim, “The role of cloud computing and big data analytics in supply chain management: A study on traditional industries,” International Journal of Business and Technology, vol. 27, no. 3, pp. 212-225, 2021. [Online]. Available: https://www.ijbt.com/cloud-computing-supply-chain. [Accessed: Jant. 17, 2024].
  6. R. Brown, M. Davis, and S. Wilson, “Personalized marketing and customer service automation in retail: Enhancing customer experience with IT,” Journal of Retail and Consumer Services, vol. 55, pp. 45-58, 2020. [Online]. Available: https://www.jrconsumerservices.com/personalized-marketing-retail. [Accessed: Jan. 18, 2025].
  7. X. Zhang, Y. Li, and L. Chen, “Barriers to IT adoption in traditional industries: A case study of manufacturing,” Journal of Information Technology in Business, vol. 33, no. 2, pp. 76-90, 2022. [Online]. Available: https://www.jitb.com/barriers-it-adoption. [Accessed: Jan. 18, 2025].
  8. D. Anderson and S. Lee, “Overcoming the challenges of IoT adoption in traditional industries: Lessons from Asia,” Asian Journal of Technology and Business, vol. 18, no. 4, pp. 101-116, 2023. [Online]. Available: https://www.ajtb.com/iot-challenges-adoption. [Accessed: Nov. 6, 2024].
  9. A. T. Hamilton, “Challenges in AI adoption in customer service,” Journal of Applied Artificial Intelligence, vol. 13, no. 2, pp. 112-119, 2022. [Online]. Available: https://www.jaai.com/challenges-ai. [Accessed: Nov. 17, 2024].
  10. T. F. Zhang, “AI adoption in retail: Improving business and customer relations,” Retail Technology Journal, vol. 22, no. 4, pp. 234-245, 2021. [Online]. Available: https://www.retailtech.com/ai-adoption. [Accessed: Nov. 17, 2025].
  11. D. L. Green and S. W. York, “Barriers to IT adoption: Overcoming data privacy and integration issues,” Business Technology Review, vol. 22, no. 5, pp. 142-154, 2023. [Online]. Available: https://www.btr.com/ai-adoption-barriers. [Accessed: January 28, 2025].

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