THE IMPACT OF HYBRID WORK MODELS ON EMPLOYEE PRODUCTIVITY AND ENGAGEMENT

Abstract

Hybrid work models have considerably altered workplace dynamics rendered post-modern, where remote working and onsite work complement employee flexibility and autonomy. This research looks into how hybrid work affects productivity and engagement, emphasizing leadership style, culture, and digital tools as factors influencing the same. In this study, quantitative research was adopted through the distribution of structured questionnaires to 400 employees drawn from IT companies in West Pune. The survey, in essence, was aimed to gather data on demographic factors, employee experiences, and perceptions concerning hybrid work arrangements. The collected data were analyzed using Regression Analysis and ANOVA via SPSS to evaluate two hypotheses, that is: (1) the influence of leadership, organizational culture, and digital tools in enhancing productivity and engagement, and (2) any variations of outcomes by industries. It was established that leadership style, organizational culture in support of this flexible kind of working arrangement, and the proper use of digital tools directly impact productivity and engagement among employees within hybrid working arrangements. Attempts to look into industry differences showed that the likes of IT and Healthcare were more open to the benefits while others such as Education and Retail were less so. The conclusion relates that hybrid work thrives under robust leaderships, nurturing organizational culture, and appropriate technology infrastructure. There is a core emphasis on industry-specific strategies to drive success concerning hybrid work implementation. Going forward, it recommends investing in leadership development, creating a culture of diversity, inclusivity, and flexibility, and utilization of digital tools to engage employees and promote productivity. The study advises future researchers to investigate the long-term effects of hybrid working and to extend their research to encompass other industries and regions for more profound understanding.