Abstract
The Industry 4.0 revolution refers to the digital transformation of industry. The significance of the Industry 4.0 revolution is further enhanced by the advent of new technologies concomitant with this revolution. The technologies of Industry 4.0 include artificial intelligence, the Internet of Things, big data, and cloud computing. Organizations that adopt these technologies can adapt to the Industry 4.0 revolution and gain a competitive advantage. By means of Industry 4.0 technologies, it is possible to save resources used in production and to produce products with better quality and different features. Organizations that fail to leverage these technologies will be unable to reap the benefits of the Industry 4.0 revolution, potentially leading to a disadvantage in the competitive landscape. It is therefore crucial for organizations to adopt Industry 4.0 technologies. It is imperative that employees possess the requisite knowledge, skills, and abilities to utilize Industry 4.0 technologies. Those in leadership positions are able to exert influence and direct the knowledge, skills, and abilities of employees. Consequently, the pivotal factor in the implementation of Industry 4.0 technologies within an organizational context is leadership. The concept of Leadership 4.0 posits that leaders possess distinctive advanced knowledge, skills, and abilities that enable them to influence employees and facilitate the utilization of industry 4.0 technologies within the organization. Leadership 4.0 serves as an indispensable conduit for the transfer of industry 4.0 technologies within organizational settings. Leadership 4.0 plays a pivotal role in preparing organizations for the advent of industry 4.0. Consequently, the successful integration and utilization of industry 4.0 technologies within organizations hinges upon the effectiveness of Leadership 4.0. This study aims to elucidate the impact of Leadership 4.0 on employee outcomes. In accordance with the objective, a bibliometric analysis of the studies on Leadership 4.0 in the Web of Science (WOS) database was conducted using the VOSviewer program.
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