Government Recommendations for the Effective Implementation of QuickCommerce Policy to Transform the E-Commerce Sector
DOI:
https://doi.org/10.21512/emacsjournal.v5i3.9969Keywords:
QuickCommerce, E-commerce, Information Age, On-Demand delivery, Instant CommerceAbstract
This paper aims to determine the guideline regarding the Initiative of the Government to transform the E-commerce industry of the country and take it to a new level of QuickCommerce. The Researchers who are working on the research in this field of work are using ‘Qualitative Research.’ This research material was taken from social media, Online Media, Websites, and Articles, and then it is displayed in descriptive format. This paper indicates that making this guideline will ensure the improvement needed in the E-commerce Market and make it ready for the successful implementation of QuickCommerce in the country. Several steps need to be followed to create and successfully implement QuickCommerce—first, the analysis and determining the significant challenges are present currently, which is pushing back the smooth implementation. Second, the selection of the way forward for the implementation of it and deciding the critical indicators required for it. Finally, then proposing the solution based on the analysis. This study is limited to the extent to which the problem is clearly defined, then suggests the solution with its working flow, and lastly, what advantage it will provide to solve the problem that the current E-commerce market is facing.
Plum Analytics
References
Alfarizi, M., & Sari, R. K. (2021). Analysis of Factors Affecting Customer Behavior of Marketplace Applications: A Case Study of Cash on Delivery (COD) Payment Systems. 13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021. https://doi.org/10.1109/ICACSIS53237.2021.9631307
Alkis, A., & Kose, T. (2022). Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe. Computers in Human Behavior, 137. https://doi.org/10.1016/j.chb.2022.107412
Almtiri, Z., Miah, S. J., & Noman, N. (2023). Application of E-commerce Technologies in Accelerating the Success of SME Operation. In Y. X.-S., S. S., D. N., & J. A. (Eds.), 7th International Congress on Information and Communication Technology, ICICT 2022 (Vol. 448, pp. 463–470). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1610-6_40
Anjum, S., & Chai, J. (2020). Drivers of Cash-on-Delivery Method of Payment in E-Commerce Shopping: Evidence from Pakistan. SAGE Open, 10(3). https://doi.org/10.1177/2158244020917392
Ashrafpour, N., Niky Esfahlan, H., Aali, S., & Taghizadeh, H. (2022). The prerequisites and consequences of customers’ online experience regarding the moderating role of brand congruity: evidence from an Iranian bank. Journal of Islamic Marketing, 13(10), 2144–2172. https://doi.org/10.1108/JIMA-09-2020-0277
Bighrissen, B. (2023). A Study of Barriers to E-Commerce Adoption Among Cooperatives in Morocco. In A. B. & H. A. (Eds.), International Conference on Business and Technology, ICBT 2021 (Vol. 485, pp. 557–570). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08093-7_37
Chang, S., Li, A., Wang, X., & Wang, X. (2022). Joint optimization of e-commerce supply chain financing strategy and channel contract. European Journal of Operational Research, 303(2), 908–927. https://doi.org/10.1016/j.ejor.2022.03.013
Das, D., Kumar, R., & Rajak, M. K. (2020). Designing a reverse logistics network for an e-commerce firm: A case study. Operations and Supply Chain Management, 13(1), 48–63. https://doi.org/10.31387/OSCM0400252
Datta, S., Naruka, K. S., Sajidha, S. A., Nisha, V. M., & Ragala, R. (2023). Sanskriti—A Distributed E-Commerce Site Implementation Using BlockChain. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 139, pp. 329–346). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-3015-7_24
Etumnu, C. E. (2022). A competitive marketplace or an unfair competitor? An analysis of Amazon and its best sellers ranks. Journal of Agricultural Economics, 73(3), 924–937. https://doi.org/10.1111/1477-9552.12495
González-Mora, C., Barros, C., Garrigós, I., Zubcoff, J., Lloret, E., & Mazón, J.-N. (2023). Improving open data web API documentation through interactivity and natural language generation. Computer Standards and Interfaces, 83. https://doi.org/10.1016/j.csi.2022.103657
Ha, X. S., Le, T. H., Phan, T. T., Nguyen, H. H. D., Vo, H. K., & Duong-Trung, N. (2021). Scrutinizing Trust and Transparency in Cash on Delivery Systems. In W. G., C. B., L. W., D. Pietro R., Y. X., & H. H. (Eds.), 13th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2020: Vol. 12382 LNCS (pp. 214–227). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-68851-6_15
Handhayani, T., & Hendryli, J. (2023). Leboh: An Android Mobile Application for Waste Classification Using TensorFlow Lite. In A. K. (Ed.), Intelligent Systems Conference, IntelliSys 2022: Vol. 544 LNNS (pp. 53–67). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16075-2_4
Hasan, F., Mondal, S. K., Kabir, M. R., Al Mamun, M. A., Rahman, N. S., & Hossen, M. S. (2022). E-commerce Merchant Fraud Detection Using Machine Learning Approach. 7th International Conference on Communication and Electronics Systems, ICCES 2022, 1123–1127. https://doi.org/10.1109/ICCES54183.2022.9835868
Huang, M., & Yen, B. P. C. (2021). Driving forces for digital transformation – Case studies of Q-commerce. In L. E.Y., Z. H., & Y. B. (Eds.), 21st International Conference on Electronic Business: Corporate Resilience through Electronic Business in the Post-COVID Era, ICEB 2021 (Vol. 21, pp. 117–128). International Consortium for Electronic Business. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125300682&partnerID=40&md5=de63a92edb6620e4b1c09caca216463b
Jaller, M., & Dennis, S. (2023). E-Commerce and Mobility Trends During COVID-19. In Springer Tracts on Transportation and Traffic (Vol. 20, pp. 79–93). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-00148-2_6
Jeong, H. Y., Song, B. D., & Lee, S. (2022). Optimal scheduling and quantitative analysis for multi-flying warehouse scheduling problem: Amazon airborne fulfillment center. Transportation Research Part C: Emerging Technologies, 143. https://doi.org/10.1016/j.trc.2022.103831
Jia, S., Karp, J., Ravi, R., & Tayur, S. (2022). Effective Online Order Acceptance Policies for Omnichannel Fulfillment. Manufacturing and Service Operations Management, 24(3), 1650–1663. https://doi.org/10.1287/msom.2021.1024
Jiang, D., Li, X., Aneja, Y. P., Wang, W., & Tian, P. (2022). Integrating order delivery and return operations for order fulfillment in an online retail environment. Computers and Operations Research, 143. https://doi.org/10.1016/j.cor.2022.105749
Kahr, M. (2022). Determining locations and layouts for parcel lockers to support supply chain viability at the last mile. Omega (United Kingdom), p. 113. https://doi.org/10.1016/j.omega.2022.102721
Law, C.-Y., Seek, Y.-W., Tay, C.-C., & Goh, W.-W. (2023). Mobile Application for After School Pickup Solution: Malaysia Perspectives. In A. K. (Ed.), Intelligent Systems Conference, IntelliSys 2022: Vol. 544 LNNS (pp. 68–78). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16075-2_5
Li, Y., Shi, J., Cao, F., & Cui, A. (2021). Product Reviews Analysis of E-commerce Platform Based on Logistic-ARMA Model. 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021, pp. 714–717. https://doi.org/10.1109/ICPICS52425.2021.9524238
Lu, S.-H., Kuo, R. J., Ho, Y.-T., & Nguyen, A.-T. (2022). Improving the efficiency of last-mile delivery with the flexible drone traveling salesman problem. Expert Systems with Applications, p. 209. https://doi.org/10.1016/j.eswa.2022.118351
Luo, Z., Gu, R., Poon, M., Liu, Z., & Lim, A. (2022). A last-mile drone-assisted one-to-one pickup and delivery problem with multi-visit drone trips. Computers and Operations Research, 148. https://doi.org/10.1016/j.cor.2022.106015
McKinlay, A., Mitchell, G., & Bertenshaw, C. (2022). Review article: DINED (Delivery-related INjuries in the Emergency Department) part 1: A scoping review of risk factors and injuries affecting food delivery riders. EMA - Emergency Medicine Australasia, 34(2), 150–156. https://doi.org/10.1111/1742-6723.13927
McKinlay, A., Mitchell, G., & Bertenshaw, C. (2022). Review article: DINED (Delivery-related INjuries in the Emergency Department) part 1: A scoping review of risk factors and injuries affecting food delivery riders. EMA - Emergency Medicine Australasia, 34(2), 150–156. https://doi.org/10.1111/1742-6723.13927
Mo, D. Y., Tsang, Y. P., Xu, W., & Wang, Y. (2023). Dynamic Inventory Replenishment with Reinforcement Learning in Managing E-Fulfilment Centres. In W. T., P. S., H. J. W.C., & R. V. M.L. (Eds.), 4th International Conference on Decision Science and Management, ICDSM 2022 (Vol. 260, pp. 313–319). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2768-3_29
Muniasamy, A., & Bhatnagar, R. (2022). Analyzing Online Reviews of Customers Using Machine Learning Techniques. In R. V.S., S. S.C., T. J.M.R.S., M. C., & S. B. (Eds.), 2nd FICR International Conference on Rising Threats in Expert Applications and Solutions, FICR-TEAS 2022 (Vol. 434, pp. 485–493). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1122-4_51
Muñoz-Villamizar, A., Velázquez-Martínez, J. C., Haro, P., Ferrer, A., & Mariño, R. (2021). The environmental impact of fast shipping ecommerce in inbound logistics operations: A case study in Mexico. Journal of Cleaner Production, 283. https://doi.org/10.1016/j.jclepro.2020.125400
Nagpal, G., Bishnoi, G. K., Dhami, H. S., & Vijayvargia, A. (2020). Use of data analytics to increase the efficiency of last-mile logistics for ecommerce deliveries. In Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics (pp. 167–180). IGI Global. https://doi.org/10.4018/978-1-7998-3053-5.ch009
Oviedo-Trespalacios, O., Rubie, E., & Haworth, N. (2022). Risky business: Comparing the riding behaviors of food delivery and private bicycle riders. Accident Analysis and Prevention, 177. https://doi.org/10.1016/j.aap.2022.106820
Peng, Y., & Yi, J. (2023). Research on the Application of Big Data Technology in the Process of Cross-Border E-Commerce Product Selection. In W. T., P. S., H. J. W.C., & R. V. M.L. (Eds.), 4th International Conference on Decision Science and Management, ICDSM 2022 (Vol. 260, pp. 29–37). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2768-3_3
Pereira Marcilio Nogueira, G., José de Assis Rangel, J., Rossi Croce, P., & Almeida Peixoto, T. (2022). The environmental impact of fast delivery B2C e-commerce in outbound logistics operations: A simulation approach. Cleaner Logistics and Supply Chain, 5. https://doi.org/10.1016/j.clscn.2022.100070
Pérez-Morón, J. M. (2023). E-commerce in China and Latin America. A Review and Future Research Agenda. In A. B. & H. A. (Eds.), International Conference on Business and Technology, ICBT 2021 (Vol. 485, pp. 571–587). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08093-7_38
Pichka, K., Alwan, L. C., & Yue, X. (2022). Fulfillment and pricing optimization for omnichannel retailers considering shipment of in-store demand. Transportation Research Part E: Logistics and Transportation Review, 167. https://doi.org/10.1016/j.tre.2022.102912
Purwandari, B., Suriazdin, S. A., Hidayanto, A. N., Setiawan, S., Phusavat, K., & Maulida, M. (2022). Factors Affecting Switching Intention from Cash on Delivery to E-Payment Services in C2C E-Commerce Transactions: COVID-19, Transaction, and Technology Perspectives. Emerging Science Journal, 6(Special Issue), 136–150. https://doi.org/10.28991/esj-2022-SPER-010
Raj, N. V, & Saini, J. R. (2023). Loyalty Score Generation for Customers Using Sentimental Analysis of Reviews in E-commerce. In D. P., C. S., B. A., D. S., & S. C. (Eds.), 3rd International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2022 (Vol. 490, pp. 461–473). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-4052-1_46
Wu, G. (2021). Research on the development path of logistics management innovation in an e-commerce environment. 2020 6th International Conference on Environmental Science and Material Application, ESMA 2020, 714(4). https://doi.org/10.1088/1755-1315/714/4/042022
Sandoval, M. G., Álvarez-Miranda, E., Pereira, J., Ríos-Mercado, R. Z., & Díaz, J. A. (2022). A novel districting design approach for on-time last-mile delivery: An application on an express postal company. Omega (United Kingdom), 113. https://doi.org/10.1016/j.omega.2022.102687
Stefko, R., Bacik, R., Fedorko, R., & Olearova, M. (2022). Gender-generation characteristics in relation to customer behavior and purchasing process in terms of mobile marketing. Oeconomia Copernicana, 13(1), 181–223. https://doi.org/10.24136/oc.2022.006
Stojanov, M. (2022). Q-COMMERCE – THE NEXT GENERATION E-COMMERCE. Business Management, 2022(1), 17–34.
Tran, N. A. T., Nguyen, H. L. A., Nguyen, T. B. H., Nguyen, Q. H., Huynh, T. N. L., Pojani, D., Nguyen Thi, B., & Nguyen, M. H. (2022). Health and safety risks faced by delivery riders during the Covid-19 pandemic. Journal of Transport and Health, 25. https://doi.org/10.1016/j.jth.2022.101343
Verma, R., Dhanda, N., & Nagar, V. (2023). Towards a Secured IoT Communication: A Blockchain Implementation Through APIs. In S. P.K., W. S.T., T. S., R. J.J.P.C., R. J.J.P.C., & G. M. (Eds.), 3rd International Conference on Computing, Communications, and Cyber-Security, IC4S 2021 (Vol. 421, pp. 681–692). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1142-2_53
Wang, M., Zhang, C., Bell, M. G. H., & Miao, L. (2022). A branch-and-price algorithm for location-routing problems with pick-up stations in the last-mile distribution system. European Journal of Operational Research, 303(3), 1258–1276. https://doi.org/10.1016/j.ejor.2022.03.058
Wu, X., & Chen, Z.-L. (2022). Fulfillment scheduling for buy-online-pickup-in-store orders. Production and Operations Management, 31(7), 2982–3003. https://doi.org/10.1111/poms.13734
Xu, J., Yang, Z., Wang, Z., Li, J., & Zhang, X. (2023). Flexible sensing enabled packaging performance optimization system (FS-PPOS) for lamb loss reduction control in the E-commerce supply chain. Food Control, 145. https://doi.org/10.1016/j.foodcont.2022.109394
Yin, L., Zhong, R. R., & Wang, J. (2023). Ontology-based package design in fresh E-Commerce logistics. Expert Systems with Applications, p. 212. https://doi.org/10.1016/j.eswa.2022.118783
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Engineering, MAthematics and Computer Science (EMACS) Journal
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)
