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Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach
PurposeThis 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 concurrent...
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Published in: | Management of environmental quality 2024-03, Vol.35 (3), p.684-711 |
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creator | Toshniwal, Ved Prabha Jain, Rakesh Soni, Gunjan Mangla, Sachin Kumar Narula, Sandeep |
description | PurposeThis 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.Design/methodology/approachSelection 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.FindingsThe 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/implicationsChallenging 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/valueThe 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. |
doi_str_mv | 10.1108/MEQ-08-2023-0248 |
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Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.Research limitations/implicationsChallenging 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/valueThe 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. 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The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.Design/methodology/approachSelection 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.FindingsThe 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). 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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.</description><subject>Alternatives</subject><subject>Appropriate technology</subject><subject>Artificial intelligence</subject><subject>Automation</subject><subject>COVID-19</subject><subject>Decision making</subject><subject>Decision theory</subject><subject>Industry 4.0</subject><subject>Innovations</subject><subject>Internet of Things</subject><subject>Multiple criterion</subject><subject>New technology</subject><subject>Pharmaceutical industry</subject><subject>Pharmaceuticals</subject><subject>Ranking</subject><subject>Sensitivity analysis</subject><subject>Sustainability</subject><subject>Sustainable development</subject><subject>Technology adoption</subject><issn>1477-7835</issn><issn>1758-6119</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNptkc1PwzAMxSMEEmNw5xiJc7ckTZuUG5rGhzSEkMa5clOXdmqbknSg_fekjAsSp-eD37P9MyHXnC04Z3r5vH6NmI4EE3HEhNQnZMZVoqOU8-w01FKpSOk4OScX3u8YE0IoNSO7LZq6t619P1Ao7TA2tqdjjdY16Olov8CVnmL_2Tjbd9iP0LYH6vd-hKaHokU61OA6oHLBbilQB1MCtNRji-YnDYbBWTD1JTmroPV49atz8na_3q4eo83Lw9PqbhOZmPMxiosq5VjKTIoqBVHGOi1LE07UpZIiKMTAUaMsJHLDC61ThiBNAqkqWKriObk55oaxH3v0Y76zexd28rnIEs0zlfEsdLFjl3HWe4dVPrimA3fIOcsnonkgmgeZiOYT0WBZHi3YoYO2_M_x5wfxN-4BeMA</recordid><startdate>20240319</startdate><enddate>20240319</enddate><creator>Toshniwal, Ved Prabha</creator><creator>Jain, Rakesh</creator><creator>Soni, Gunjan</creator><creator>Mangla, Sachin Kumar</creator><creator>Narula, Sandeep</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-6322-0751</orcidid></search><sort><creationdate>20240319</creationdate><title>Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach</title><author>Toshniwal, Ved Prabha ; Jain, Rakesh ; Soni, Gunjan ; Mangla, Sachin Kumar ; Narula, Sandeep</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-3bf61ed4942f6a2d386ddc1088d742108a3a1e8e4b4e1c1b8860ea4c5a67b0673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alternatives</topic><topic>Appropriate technology</topic><topic>Artificial intelligence</topic><topic>Automation</topic><topic>COVID-19</topic><topic>Decision making</topic><topic>Decision theory</topic><topic>Industry 4.0</topic><topic>Innovations</topic><topic>Internet of Things</topic><topic>Multiple criterion</topic><topic>New technology</topic><topic>Pharmaceutical industry</topic><topic>Pharmaceuticals</topic><topic>Ranking</topic><topic>Sensitivity analysis</topic><topic>Sustainability</topic><topic>Sustainable development</topic><topic>Technology adoption</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toshniwal, Ved Prabha</creatorcontrib><creatorcontrib>Jain, Rakesh</creatorcontrib><creatorcontrib>Soni, Gunjan</creatorcontrib><creatorcontrib>Mangla, Sachin Kumar</creatorcontrib><creatorcontrib>Narula, Sandeep</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Management of environmental quality</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toshniwal, Ved Prabha</au><au>Jain, Rakesh</au><au>Soni, Gunjan</au><au>Mangla, Sachin Kumar</au><au>Narula, Sandeep</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach</atitle><jtitle>Management of environmental quality</jtitle><date>2024-03-19</date><risdate>2024</risdate><volume>35</volume><issue>3</issue><spage>684</spage><epage>711</epage><pages>684-711</pages><issn>1477-7835</issn><eissn>1758-6119</eissn><abstract>PurposeThis 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. 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Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.Research limitations/implicationsChallenging 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/valueThe 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. 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subjects | Alternatives Appropriate technology Artificial intelligence Automation COVID-19 Decision making Decision theory Industry 4.0 Innovations Internet of Things Multiple criterion New technology Pharmaceutical industry Pharmaceuticals Ranking Sensitivity analysis Sustainability Sustainable development Technology adoption |
title | Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach |
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