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Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach

Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach

The utilization of a Technology Adoption theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.

Authors

Ved Prabha Toshniwal, Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India.

Rakesh Jain, Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India.

Gunjan Soni, Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India.

Sachin Kumar Mangla, Full Professor and Director, Research Center for Digital Circular Economy for Sustainable Development Goals (DCE-SDG), Jindal Global Business School, O.P. Jindal Global University, Haryana, India.

Sandeep Narula, SVKM Narsee Monjee Institute of Management Studies University (NMIMS), Mumbai, Maharashtra, India.

Summary

This study is centered on the identification of the most appropriate Technology Adoption (TA) model for investigating the adoption of Industry 4.0 technologies within pharmaceutical and related enterprises. The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.

Methodology

Selection of a suitable TA theory is carried out using a hybrid multi-criteria decision-making (MCDM) approach incorporating PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) and Fuzzy Measurement of alternatives and ranking according to Compromise solution (F-MARCOS) methods. A group of three experts is formulated for the ranking of criteria and alternatives based on those criteria.

Findings

The results indicate that out of all six TA models considered unified theory of acceptance and use of technology (UTAUT) model gets the highest utility function value, followed by the technical adoption model (TAM). Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.

Research limitations

Challenging times like COVID-19 pointed out the importance of technology in the pharmaceutical and healthcare sectors. TA studies in this area can help in the identification of critical factors that can assist pharmaceutical firms in their efforts to embrace emerging technologies, enhance their outputs and increase their efficiency.

Originality

The novelty of this research lies in the fact that the utilization of a TA theory prior to its implementation has not been witnessed in existing scholarly literature. The utilization of a TA theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.

Published in: Management of Environmental Quality

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