Open Access
Issue |
SHS Web Conf.
Volume 208, 2024
2024 International Workshop on Digital Strategic Management (DSM 2024)
|
|
---|---|---|
Article Number | 01018 | |
Number of page(s) | 11 | |
Section | Chapter 1: Digital Transformation Research | |
DOI | https://doi.org/10.1051/shsconf/202420801018 | |
Published online | 12 December 2024 |
- X. Huang, How Chinese consumers are changing shopping habits in response to COVID-19. [online] Available at: < https://www.mckinsey.com/~/media/mckinsey/featured%20insights/asia%20pacific/how%20chinese%20consumers%20are%20changing%20shopping%20habits%20in%20response%20to%20covid%2019/how-chinese-consumers-are-changing-shopping-habits-in-response-to-covid-19-v3.pdf >. [Accessed on 7 July 2024] (2020) [Google Scholar]
- Statista, Gross merchandise volume of fresh food e-commerce in China from 2013 to 2022. [online] Available at: <https://www.statista.com/statistics/1026889/china-fresh-food-ecommerce-gross-merchandise-volume/#:~:text=Fresh%20food%20is%20one%20of,yuan%20in%20the%20previous%20year. >. [Accessed on 10 July 2024] (2023) [Google Scholar]
- Deloitte, The fresh food business: spurring the local community trend forward. [online] Available at: < https://www2.deloitte.com/content/dam/Deloitte/cn/Documents/consumer-business/deloitte-cn-consumer-the-fresh-food-business-en-200320.pdf. > >. [Accessed on 7 July 2024] (2023) [Google Scholar]
- J. Zhang, Situation analysis and strategic development of fresh food e-commerce in China, Inter. Confer. on Comp. and Infor. Techno. Appl. 176 – 182 (2016). [Google Scholar]
- A. Ghadge, M. Er Kara, H. Moradlou, M. Goswami, The impact of Industry 4.0 implementation on supply chains. J. of Manu. Techno. Man. (2020). [Google Scholar]
- A., Rege, The impact of artificial intelligence on the supply chain in the era of data analytics. Inter. J. of Com. Trends and Tech. 71(1), 28-39 (2023). [Google Scholar]
- U. M. Tariq, Role of artificial intelligence in the enabling sustainable supply chain management during Covid-19. Inter. J. Ser. and Oper. Manage. 44(1), 115-138 (2023). [Google Scholar]
- I. Lee, G. Mangalaraj, Big data analytics in supply chain management: a systematic literature review and research directions. Big Data Com., 6(1), 17 (2022). [Google Scholar]
- P. Gopal, P. N. Rana, V. T. Krishna, M. Ramkumar, Impact of big data analytics on supply chain performance: an analysis of influencing factors. A. of Oper. Res. (2022). [Google Scholar]
- W. Su, X. Guo, Y. Ling, Y. Fan, China’s SMEs developed characteristics and countermeasures in the post-epidemic era. Fron. Psy., 13 (2022). [Google Scholar]
- I. Lee, G. Mangalaraj, Big data analytics in supply chain management: a systematic literature review and research directions. Big Data Com., 6(1), 17 (2022). [Google Scholar]
- M. T. Barutcu, Big data analytics for marketing for revolution. J. of Med. Criti., 3(11), 163 – 174 (2017). [Google Scholar]
- S. Chaudhuri, L. Krishnan, S. Poorani, Impact of using ai in manufacturing industries. J. of the Inter. Acad. for Case Stud. 28(4), 1-10 (2022). [Google Scholar]
- M. F. Ayobanmbi, S. M. Sabri, The impact of big data analytics on decision-making. SSRN Electr. J. 11(4), 1-5 (2021). [Google Scholar]
- M, Guida, F., Caniato, A. Moretto, S. Ronchi, The role of artificial intelligence in the procurement process: State of the art and research agenda. J. of Purch. and Supp. Manage, 29(2) (2023). [Google Scholar]
- R., Cui, M. Li, S. Zhang, AI and procurement. manufacturing & serv. opera. manage. (2018). [Google Scholar]
- U. M. Tariq, Role of artificial intelligence in the enabling sustainable supply chain management during Covid-19. Inter. J. Serv. and Oper. Manage. 44(1), 115-138 (2023). [Google Scholar]
- N. Jagdishbhai, Y. K. Thakkar, Exploring the capabilities and limitations of GPT and Chat GPT in natural language processing. J. of Manage. Reser. and Ana. 10(1), 18-20 (2023). [Google Scholar]
- M. Saunders, P. Lewis, A. Thornhill, Research methods for business students. 6th edition, Pearson Education Limited (2012). [Google Scholar]
- S. Jamshed, Qualitative research method-interviewing and observation. J. of Basic Client Pharm, 5(4), 87-88 (2014). [CrossRef] [Google Scholar]
- M. Junjie, M. Yingxin, The discussions of positivism and interpretivism, Glo. Accad. J. of Human. and Soc. Sci, 4(1), 10-14. (2022). [Google Scholar]
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