Self-driving vehicles, intelligent robots that seed crops and online games that are now upgraded to analyze their patterns enhancing algorithms have been made possible by digital advancements. These advancements have simplified processes, but they have also automated manual occupations, allowing workers to concentrate on higher-level, value-based duties.

With the Internet-of-Things, digitally connected technologies with intelligent systems will revolutionize digital Global Value Chains (GVCs), changing how industries in emerging countries function. The digital algorithms will make decisions that humans presently make. However, human insights and knowledge are the key for technology to work seamlessly.

According to World Economic Forum research, by 2025, 50 percent of all employees would require reskilling due to growing digitalization. Employers believe critical thinking and problem-solving abilities will be essential in the next five years. According to the World Economic Forum, these are among the top ten employment skills of the future, and they are focused on in India’s new national education strategy.

Putting People First in Digital Transformation
Even though digital technologies significantly influence people, businesses that adopt digital transformation frequently fall short when considering the human side of the process. On the people side of digital transformation, the present corpus of knowledge may be classified into two categories. The first focuses on employees or Top Management Teams (TMTs), arguing that the capacity of an organization to construct the optimal mix of personnel and the skills, talents, and orientations of workers and managers are the drivers of success or failure in digital transformation. The second provides a parallel perspective by delving into the cohabitation and interdependence of people and digital technology (such as robots and artificial intelligence [AI]) and the emotional, social, and moral ramifications.

The Impact of People Behaviors, Attitudes, and Emotions on Digital Transformation
Transition acceptability, resistance, and disinterest are all influenced by effect and emotions. Employees’ mindsets and mental functions, which reflect their self- and scenario-oriented attitudes, impact their acceptance or opposition to digital transformation. Many employees

see digital technology as a threat to their jobs, exacerbating their aversion to change. When digital transformation replaces the workforce with AI, robots, and virtual agents, these anxieties are valid. Employees’ skepticism about automation and efficient performance claims and the loss of competence and self-determination connected with the dread of digital technologies’ monitoring potential and a more general uneasiness produced by their use are all known resistance causes. While uncertainty may deter individuals from adopting digital technology, it may also encourage them to work harder to develop answers that benefit them. The fact is – technology can replace people is far from the truth across industries today.

digital expertise is becoming more important in senior management positions, and new roles are being developed to help companies adopt digital technology. It is time for students and professionals to continue to upgrade their skills as the world evolves with digital innovations and transformations

Skills, Competencies, and The Introduction of New Occupations are All Factors to Consider
New technologies generate new opportunities, disrupting work as we knew it, and causing profound and lasting changes across careers. The skills market is being reshaped by digital transformation. This occurs in various ways throughout the world, depending on the nature of the task, its consistency and intricacy, and its routine and commercial character. Job descriptions are increasingly blurring the barriers between different specialties, such as smart healthcare professionals who combine physical skills with data analysis or accountants who understand blockchain applications and cryptographic protocols. As a result, demand for skills related to data analytics, Salesforce, understanding of visualization and modeling systems, and interaction with objects and machines such as AI/ML is increasing.

This skills gap can be filled by employing additional tech-savvy employees to supplement and complement the existing workforce. Additionally, upskilling to bridge the skill gap enhances the aptitude of current employees. Furthermore, emerging technology solutions, such as robot programming by gesture or presentation, may enable workers to do machine coding jobs without having the academic background. Finally, digital expertise is becoming more important in senior management positions, and new roles are being developed to help companies adopt digital technology. It is time for students and professionals to continue to upgrade their skills as the world evolves with digital innovations and transformations.