Analysis of Man-Machine Collaboration, on the Employee Engagement Process: IT Industry Perspective

Dr. Lrk Krishnan, Dr. Praveen Kakada and Poorani Sundarrajan
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Dr. Lrk Krishnan: Vit University, Business School, Chennai, India
Dr. Praveen Kakada: Vit University, Business School, Chennai, India
Poorani Sundarrajan: Vit University, Business School, Chennai, India

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 983-997

Abstract: This essay explores MMC’s revolutionary potential and argues that it contributes to employee engagement in the technologically advanced workplace. This study used a mixed-method approach, combining qualitative and quantitative methodologies. Qualitative Data Collection was aimed to elicit the essence of the participants’ experiences and perceptions in their work environment. To achieve this, we conducted in-depth interviews with IT experts and managers. Quantitative data collection was undertaken by administering questionnaires to a group of individuals by collecting a simple random sample. The successful integration of people and technology tools in the collaborative process necessitates reevaluating organizational culture as employees are exposed to unique opportunities to connect with cutting-edge technologies. The research suggests that employees’ skill sets should align strategically with the evolving technologies. This proactive approach empowers employees and guarantees that they actively participate in the collaborative ecosystem. We have a paradigm for MMC implementation that goes beyond theoretical frameworks by analyzing market trends and real-world case studies. Beyond theoretical frameworks, the study presents a comprehensive paradigm for applying MMC by utilizing case studies and real-world market trends. This study argues that for humans and computers to collaborate successfully, organizational culture must change, focus on acquiring new skills and competencies, and the application of cutting-edge technologies. The study is restricted to a select few organizations adopting high-end technologies. This study also offers a paradigm for man-machine collaboration that can assist businesses in developing a more motivated and effective workforce by examining market trends and case studies. It offers viewpoints from leaders and knowledge workers in the IT sector about the advantages and difficulties of man-machine collaboration.

Date: 2024
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