EXAMINING THE ROLE OF IT EXPERTISE, ORGANIZATIONAL READINESS, AND FINANCIAL RESOURCES IN DRIVING TECHNOLOGY ADOPTION AND ITS IMPACT ON SUPPLY CHAIN RESILIENCE IN MANUFACTURING INDUSTRY

Abstract

Given the unstable state of the world today, supply chains frequently face challenges from events like pandemics, international conflicts, trade restrictions, and sudden changes in regulations. These interruptions have shown how vulnerable supply systems are, especially when they are not ready for unforeseen circumstances. This study looks at how financial resources, organizational preparedness, and IT expertise affect a company's ability to embrace digital technology and how that adoption improves supply chain resilience. Utilizing the Resource-Based View (RBV) and the Technology–Organization–Environment (TOE) framework, the study offers a thorough lens through which to examine the factors that affects technology adoption and how it affects resilience. Data from a survey of 103 respondents working in manufacturing companies in the Jabodetabek region was gathered using a quantitative methodology. The Measurement and analysis are conducted using SmartPLS 4, and explained using descriptive analysis as the method. Through the analysis, this research has found that the greatest effects were IT Expertise and Organizational Readiness, with Financial Resources making a slightly less significant effect. It was discovered that improving supply chain resilience was largely dependent on the adoption of technology. These research results encourage companies to set aside particular funds for technological initiatives, align financial planning with technology objectives, and improve their IT expertise through continuous training and certifications. While leadership effort and an adaptable corporate culture are equally essential. In order to maximize outcomes, practical efforts should concentrate on introducing digital platforms gradually that enhance visibility and real-time data sharing. To determine how digital adoption changes over time, future research might involve long-term research and cross-industry comparisons.