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Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation

Yogesh Dwivedi Orcid Logo, Janarthanan Balakrishnan, Ronnie Das, Vincent Dutot

Journal of Business Research, Volume: 157, Start page: 113632

Swansea University Author: Yogesh Dwivedi Orcid Logo

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DOI (Published version): 10.1016/j.jbusres.2022.113632

Abstract

Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT)...

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Published in: Journal of Business Research
ISSN: 0148-2963
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62222
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first_indexed 2022-12-30T14:03:25Z
last_indexed 2023-01-13T19:23:32Z
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spelling v2 62222 2022-12-30 Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2022-12-30 BBU Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the conceptual model. The study used a single cross-sectional design to investigate the proposed model with data collected from 360 retailers. The data were analysed using structural equation modelling estimated with the maximum likelihood model. The study's results showed that the threat of data ownership is the most significant factor that builds resistance towards blockchain, followed by threat severity. The results also showed that managerial capability and innovation capability could indirectly influence the relationship of IRT variables to resistance towards blockchain. The research extends the knowledge in the blockchain and contributes to relevant literature and business practitioners concerned with the results. Journal Article Journal of Business Research 157 113632 Elsevier BV 0148-2963 Blockchain resistance, The threat of data ownership, Managerial capability, Innovation capability 1 3 2023 2023-03-01 10.1016/j.jbusres.2022.113632 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2023-08-30T11:54:30.3107124 2022-12-30T14:01:08.6975695 Faculty of Humanities and Social Sciences School of Management - Business Management Yogesh Dwivedi 0000-0002-5547-9990 1 Janarthanan Balakrishnan 2 Ronnie Das 3 Vincent Dutot 4 62222__26197__9798b26328c3455884d882fc60a10705.pdf 62222.VOR.pdf 2023-01-05T13:00:20.1748859 Output 804154 application/pdf Version of Record true Distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Licence. true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
spellingShingle Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
Yogesh Dwivedi
title_short Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
title_full Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
title_fullStr Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
title_full_unstemmed Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
title_sort Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Yogesh Dwivedi
Janarthanan Balakrishnan
Ronnie Das
Vincent Dutot
format Journal article
container_title Journal of Business Research
container_volume 157
container_start_page 113632
publishDate 2023
institution Swansea University
issn 0148-2963
doi_str_mv 10.1016/j.jbusres.2022.113632
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the conceptual model. The study used a single cross-sectional design to investigate the proposed model with data collected from 360 retailers. The data were analysed using structural equation modelling estimated with the maximum likelihood model. The study's results showed that the threat of data ownership is the most significant factor that builds resistance towards blockchain, followed by threat severity. The results also showed that managerial capability and innovation capability could indirectly influence the relationship of IRT variables to resistance towards blockchain. The research extends the knowledge in the blockchain and contributes to relevant literature and business practitioners concerned with the results.
published_date 2023-03-01T11:54:31Z
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score 11.037581

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