Assessment of the Benefits of Information and Communication Technologies (ICT) Adoption on Downstream Supply Chain Performance of the Retail Industry
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
- Swafford, Patricia M. & Ghosh, Soumen & Murthy, Nagesh, 2008. "Achieving supply chain agility through IT integration and flexibility," International Journal of Production Economics, Elsevier, vol. 116(2), pages 288-297, December.
- Kim Hua Tan & W. P. Wong & Leanne Chung, 2016. "Information and Knowledge Leakage in Supply Chain," Information Systems Frontiers, Springer, vol. 18(3), pages 621-638, June.
- Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
- Miriam Thogori & Jane Gathenya & John M. Kihoro, 2017. "Moderating Effect of ICT on Supply Chain Financial Flow Risk and Performance of Manufacturing Firms in Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(9), pages 273-293, September.
- Nikoofal, Mohammad E. & Gümüş, Mehmet, 2020. "Value of audit for supply chains with hidden action and information," European Journal of Operational Research, Elsevier, vol. 285(3), pages 902-915.
- Wu, Yaobin & Wang, Yingying & Xu, Xun & Chen, Xiangfeng, 2019. "Collect payment early, late, or through a third party's reverse factoring in a supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 245-259.
- Changjoon Lee & Byoung-Chun Ha, 2021. "Interactional Justice, Informational Quality, and Sustainable Supply Chain Management: A Comparison of Domestic and Multinational Pharmaceutical Companies," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
- Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Liu, Weihua & Yuan, Chaolun & Wang, Jingkun & Lim, Ming K & Hou, Jiahe, 2024. "Digital supply chain announcements and firm’s stock market value: An empirical study from China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
- Johannes Hangl & Viktoria Joy Behrens & Simon Krause, 2022. "Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study," Logistics, MDPI, vol. 6(3), pages 1-22, September.
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.- Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).
- Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
- Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
- Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).
- Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
- Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
- Woo Jin Lee & Inho Hwang, 2021. "Sustainable Information Security Behavior Management: An Empirical Approach for the Causes of Employees’ Voice Behavior," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
- Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
- Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
- Maciej Urbaniak & Piotr Rogala & Piotr Kafel, 2023. "Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers," Operations Management Research, Springer, vol. 16(1), pages 296-310, March.
- Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
- Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
- Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
- Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
- Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
- Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
- Lorenzo Bruno Prataviera & Alessandro Creazza & Marco Melacini & Fabrizio Dallari, 2022. "Heading for Tomorrow: Resilience Strategies for Post-COVID-19 Grocery Supply Chains," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
- Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
- Ji Jiang & Jin Chen, 2021. "Framework of Blockchain-Supported E-Commerce Platform for Small and Medium Enterprises," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
- Magni, Carlo Alberto & Marchioni, Andrea, 2020.
"Average rates of return, working capital, and NPV-consistency in project appraisal: A sensitivity analysis approach,"
International Journal of Production Economics, Elsevier, vol. 229(C).
- Magni, Carlo Alberto & Marchioni, Andrea, 2020. "Average rates of return, working capital, and NPV-consistency in project appraisal: A sensitivity analysis approach," MPRA Paper 99922, University Library of Munich, Germany.
More about this item
Keywords
supply chain in the retail industry; supply chain functional elements; ICT adoption; feature selection; feature engineering;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jlogis:v:5:y:2021:i:4:p:80-:d:676120. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.