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Title: | Exploring IoT adoption and operational efficiency within the international chilled beverages industry |
Authors: | Kioufi, N Chen, W |
Keywords: | operational efficiencies;bottler operations;organisational capability;Internet of Things;technology adoption;Covid-19 |
Issue Date: | 1-Nov-2023 |
Publisher: | Taylor & Francis |
Citation: | Kioufi, N. and Chen, W. (2024) 'Exploring IoT adoption and operational efficiency within the international chilled beverages industry', Journal of Industrial and Production Engineering, 41 (2), pp. 158 - 181. doi: 10.1080/21681015.2023.2270994. |
Abstract: | Research on the adoption of IoT technology in the global chilled beverages industry is limited. The outbreak of the COVID-19 pandemic had a substantial impact on chilled beverage sales and disrupted the operations of organizations within this industry. In order to navigate the challenges posed by this “new normal,” the implementation of IoT adoption strategies becomes increasingly vital. We conducted semi-structured interviews with 19 leaders representing 14 chilled beverage companies across five continents, following the Gioia methodology. Our study findings shed light on the critical role of operational efficiency and organizational capability in the successful adoption of IoT technology. By focusing on these aspects, our study aims to contribute to the seamless integration of IoT technology into the chilled beverages industry. To align with this goal, we propose an innovative IoT adoption framework tailored to support managers in navigating this understudied topic. |
URI: | https://bura.brunel.ac.uk/handle/2438/27534 |
DOI: | https://doi.org/10.1080/21681015.2023.2270994 |
ISSN: | 2168-1015 |
Other Identifiers: | ORCiD: Niazy Kioufi https://orcid.org/0000-0002-5756-5219 ORCiD: Weifeng Chen https://orcid.org/0000-0002-5850-0759 |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2023 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 01 Nov 2023, available at: https://www.tandfonline.com/doi/full/10.1080/21681015.2023.2270994. It is archived on this institutional repository under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/). See: https://authorservices.taylorandfrancis.com/research-impact/sharing-versions-of-journal-articles/ | 863.8 kB | Adobe PDF | View/Open |
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