Digital Transformation Impact on Human Capital

The advancement of digitization is creating both opportunities and challenges for firms and their workforce in the evolving digital workplace. This shift particularly impacts Multinational Enterprises (MNEs), which must strategically deploy smart technologies on a global scale. However, existing literature on the adoption of smart technology by Human Capital in the digital workplace remains notably sparse. This research aims to identify the most salient factors influencing Human Capital's adoption of digital technologies within the workplace, with the goal of positioning Human Capital as a central component of the Digital Transformation ecosystem. Such studies can aid decision-makers in gaining insights into how Human Capital engages with novel, rapidly evolving technologies, thereby enhancing the ability to leverage this critical third pillar of Digital Transformation—encompassing technology, strategy, and human capital. This study applies the Analytical Hierarchy Process (AHP) to twelve factors identified from the existing business literature. AHP is a multi-criteria decision-making technique grounded in mathematics and psychology, originally developed in the 1970s by Dr. Thomas Saaty. This technique is particularly useful for making decisions in complex situations where multiple factors are involved, yet a rapid response is required. The Analytical Hierarchy Process follows five fundamental steps to address complex problems. In this study, the initial step involved identifying key factors related to digital transformation in the workplace through a comprehensive literature review. Subsequent steps included gathering and analyzing data from professionals employed by multinational organizations and currently enrolled in an Executive MBA program in the United States. Findings reveal that "Employee Engagement Factors" and "Job-Related Resources" are the two most critical factors influencing human capital in the digital workplace. Among the sub factors, "Vigor", "Relevant Training" and "Self-efficacy", emerged as the three most salient sub factors influencing human capital's adoption of smart technology. The complex decision MNEs face is determining the most effective approach for digital transformation implementation. Decision-makers must prioritize factors that influence employees' adoption of digital technology tools for both regional and global markets. The goal is to identify an approach tailored to Human Capital in each market, guided by the criteria within the Analytical Hierarchy Process (AHP). This approach facilitates a logical, rational, transparent, and measurable decision-making process, based on expert input rather than personal preferences or opinions.