Adopting Process Innovations in Indian Public Sector Biotechnology R&D Organizations: Comparing Perspectives of Scientists, R&D Managers, and Other Stakeholders
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Abstract
This study investigates the factors influencing the adoption of process innovations within Indian public sector biotechnology R&D organizations, employing a novel perspective that frames scientists, R&D managers, and other stakeholders as "consumers" of new practices. Leveraging established consumer behavior theories, specifically the Technology Acceptance Model (TAM) and Diffusion of Innovations, the research quantitatively examines the impact of perceived usefulness, perceived ease of use, compatibility, social influence, and organizational support on the intention to adopt process innovations. A survey was administered to 310 stakeholders across various roles in the Indian public sector biotechnology R&D sector, including leadership, scientists, R&D managers, administrative staff, scholars, PhD students, and temporary project staff. The results of correlation and hierarchical regression analyses revealed that perceived usefulness, compatibility, social influence, and organizational support were significant predictors of adoption intention, with perceived usefulness being the strongest predictor. Furthermore, significant differences were found in the perceptions and adoption intentions across different stakeholder groups, as indicated by ANOVA and post-hoc tests. This study contributes to the R&D management literature by empirically validating the applicability of consumer behavior theories in understanding the dynamics of process innovation within research-intensive public sector organizations. The findings underscore the importance of addressing both individual perceptions and organizational context when promoting the adoption of new practices and fostering a culture of innovation in the biotechnology sector. They also highlight the need for tailored approaches that consider the unique needs and motivations of different stakeholder groups within the R&D ecosystem.