IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v81y2025ics0160791x24003403.html
   My bibliography  Save this article

Multi perspective technology readiness assessment for E-commerce: Case of the omni-channel adoption in the food retail sector during COVID-19

Author

Listed:
  • Bukhari, Esra'a
  • Daim, Tugrul
  • Alzahrani, Saeed
  • Gillpatrick, Tom
  • Santiago, Leonardo

Abstract

Using E-commerce has become crucial for retailers, specifically in the food business. In and after the era of COVID-19, as technology advances, there has been a necessity to apply an omnichannel strategy. In response, this research aims to develop a decision focus assessing Omni-channeled adoption for the management of emerging technologies in food retailing during and after the era of COVID-19 to evaluate the omnichannel capabilities of food organizations. The gaps of this research are presented as the lack of studies to evaluate the adoption of the omnichannel approach in food retailing comprehensively and identify the factors impacting the adoption of the omnichannel strategy in the food industry. Also, no research has categorized these factors, or compared them against each other. The method used is based on the hierarchical decision model (HDM) approach to find the optimal solution to fill gaps and to be implemented in food retailing. The main factors of the omnichannel in the food industry were identified based on a literature review and expert interviews. These factors were categorized into five perspectives which are social, organizational, technological, legal, and financial perspectives. This research established the HDM scoring model using experts' validation, quantification, and desirability values. The model is then applied in two case studies to test the model's practicality and achieve the objective of this research. The model analyzes the weaknesses and strengths of two food hypermarkets in Saudi Arabia, providing recommendations for improvement. The audience of this research are retailers, developers, researchers, participators, policymakers, decision-makers, and anyone interested in business and technology management.

Suggested Citation

  • Bukhari, Esra'a & Daim, Tugrul & Alzahrani, Saeed & Gillpatrick, Tom & Santiago, Leonardo, 2025. "Multi perspective technology readiness assessment for E-commerce: Case of the omni-channel adoption in the food retail sector during COVID-19," Technology in Society, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x24003403
    DOI: 10.1016/j.techsoc.2024.102792
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24003403
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102792?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Marisela Rodríguez & Francisco Paredes & Gaofeng Yi, 2016. "Towards Future Customer Experience: Trends and Innovation in Retail," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(3 (eng)), pages 18-28.
    2. Zdenko Segetlija, 2010. "Information Technology In The Strategy Of A Retail Company," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 6, pages 866-876.
    3. Marisela Rodriguez & Francisco Paredes & Gaofeng Yi, 2016. "Towards Future Customer Experience: Trends and Innovation in Retail," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(3), pages 18-28.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yinglu Sun & Wei Xue & Subir Bandyopadhyay & Dong Cheng, 2022. "WeChat mobile-payment-based smart retail customer experience: an integrated framework," Information Technology and Management, Springer, vol. 23(2), pages 77-94, June.
    2. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    3. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    4. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    5. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    6. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    7. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    8. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    9. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    10. Claudio Vitari & Elisabetta Raguseo, 2016. "Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data," Post-Print halshs-01923271, HAL.
    11. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    12. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    13. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    14. Mary D. Adu & Usman H. Malabu & Aduli E. O. Malau-Aduli & Aaron Drovandi & Bunmi S. Malau-Aduli, 2020. "Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    15. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    16. Baicu Claudia Gabriela & Gârdan Iuliana Petronela & Gârdan Daniel Adrian & Epuran Gheorghe, 2020. "The impact of COVID-19 on consumer behavior in retail banking. Evidence from Romania," Management & Marketing, Sciendo, vol. 15(s1), pages 534-556, October.
    17. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    18. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    19. Zamrudi Zakky & Wicaksono Teguh, 2018. "Promoting the Use of Social Commerce on SME in the Context of Logistics: UTAUT Model Examination," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 9(2), pages 73-82, November.
    20. Yuting Zhang & Xiaofen Yu & Ning Cai & Yong Li, 2020. "Analyzing the Employees’ New Media Use in the Energy Industry：The Role of Creative Self-Efficacy, Perceived Usefulness and Leaders’ Use," Sustainability, MDPI, vol. 12(3), pages 1-13, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x24003403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.