{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T14:50:49Z","timestamp":1769266249174,"version":"3.49.0"},"publisher-location":"Cham","reference-count":57,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031359682","type":"print"},{"value":"9783031359699","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-35969-9_9","type":"book-chapter","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T21:02:09Z","timestamp":1689886929000},"page":"114-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Government Initiative to Reduce the Failed or Unsuccessful Delivery Orders Attempts in the Last Mile Logistics Operation"],"prefix":"10.1007","author":[{"given":"Muhammad","family":"Younus","sequence":"first","affiliation":[]},{"given":"Achmad","family":"Nurmandi","sequence":"additional","affiliation":[]},{"family":"Misran","sequence":"additional","affiliation":[]},{"given":"Abdul","family":"Rehman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,17]]},"reference":[{"key":"9_CR1","unstructured":"(N.d.). Operations and supply chain management: an international journal. Https:\/\/www.journal.oscm-forum.org\/journal\/proceeding\/download_paper\/20191207215658_oscm_2019_paper_107.pdf"},{"key":"9_CR2","doi-asserted-by":"publisher","unstructured":"Abdul Rahman, M., Aamir Basheer, M., Khalid, Z., Tahir, M., Uppal, M.: Last mile logistics: impact of unstructured addresses on delivery times. In: w. C.c. s. S. (eds.), 7th international conference on smart data and smart cities, dsc 2022 (vol. 48, issues 4\/w5\u20132022, pp. 3\u20138). International society for photogrammetry and remote sensing (2022). https:\/\/doi.org\/10.5194\/isprs-archives-xlviii-4-w5-2022-3-2022","DOI":"10.5194\/isprs-archives-xlviii-4-w5-2022-3-2022"},{"key":"9_CR3","doi-asserted-by":"publisher","unstructured":"Alfarizi, M., Sari, R. K.: Analysis of factors affecting customer behavior of marketplace applications: a case study of cash on delivery (cod) payment systems. In: 13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021 (2021). https:\/\/doi.org\/10.1109\/icacsis53237.2021.9631307","DOI":"10.1109\/icacsis53237.2021.9631307"},{"key":"9_CR4","doi-asserted-by":"publisher","unstructured":"Alkis, A., kose, T.: Privacy concerns in consumer e-commerce activities and response to social media advertising: empirical evidence from Europe. Comput. Hum. Behav., 137 (2022). https:\/\/doi.org\/10.1016\/j.chb.2022.107412","DOI":"10.1016\/j.chb.2022.107412"},{"key":"9_CR5","doi-asserted-by":"publisher","unstructured":"Almtiri, Z., Miah, S.J., Noman, N.: Application of e-commerce technologies in accelerating the success of some 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\u2013470). Springer science and business media deutschland gmbh (2023). https:\/\/doi.org\/10.1007\/978-981-19-1610-6_40","DOI":"10.1007\/978-981-19-1610-6_40"},{"key":"9_CR6","doi-asserted-by":"publisher","unstructured":"Anjum, S., Chai, J.: Drivers of cash-on-delivery method of payment in e-commerce shopping: evidence from Pakistan. Sage open, 10(3) (2020). https:\/\/doi.org\/10.1177\/2158244020917392","DOI":"10.1177\/2158244020917392"},{"key":"9_CR7","doi-asserted-by":"publisher","unstructured":"Armstrong, C.E.J., Gilmore, A.M., Boss, P.K., Pagay, V., Jeffery, D.W.: Machine learning for classifying and predicting grape maturity indices using absorbance and fluorescence spectra. Food chemistry, 403 (2023). https:\/\/doi.org\/10.1016\/j.foodchem.2022.134321","DOI":"10.1016\/j.foodchem.2022.134321"},{"key":"9_CR8","doi-asserted-by":"publisher","unstructured":"Ashrafpour, N., N, H., Aali, S., Taghizadeh, H.: The prerequisites and consequences of customers\u2019 online experience regarding the moderating role of brand congruity: evidence from an Iranian bank. J. Islamic Market. 13(10), 2144\u20132172 (2022). https:\/\/doi.org\/10.1108\/jima-09-2020-0277","DOI":"10.1108\/jima-09-2020-0277"},{"key":"9_CR9","doi-asserted-by":"publisher","unstructured":"Bighrissen, B.: 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\u2013570). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-3-031-08093-7_37","DOI":"10.1007\/978-3-031-08093-7_37"},{"key":"9_CR10","unstructured":"Bopage, G., Nanayakkara, J., Vidanagamachchi, K.: A strategic model to improve the last mile delivery performance in ecommerce parcel delivery. In: 9th International Conference on Industrial Engineering and Operations Management, IEOM 2019, 2019(mar), 2018\u20132019 (2019). Https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85067252593&partnerid=40&md5=bb0db685e3bc6ec27a89fb9bb97f853f"},{"key":"9_CR11","doi-asserted-by":"publisher","unstructured":"Chang, S., L, A., Wang, X., Wang, X.: Joint optimization of e-commerce supply chain financing strategy and channel contract. Eur. J. Oper. Res. 303(2), 908\u2013927 (2022). https:\/\/doi.org\/10.1016\/j.ejor.2022.03.013","DOI":"10.1016\/j.ejor.2022.03.013"},{"key":"9_CR12","unstructured":"Cosmi, M., Nicosia, G., Pacifici, A.: Lower bounds for a meal pickup-and-delivery scheduling problem. In: H. J., K. S., M. B.R., U. V., U. M.S. (eds.), 17th Cologne-Twente Workshop on Graphs and Combinatorial Optimization, CTW 2019 (pp. 33\u201336). University of Twente (2019). Https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85084376442&partnerid=40&md5=c72ecd6e056b6120b1096351d181b069"},{"key":"9_CR13","doi-asserted-by":"publisher","unstructured":"Das, D., Kumar, R., Rajak, M.K.: Designing a reverse logistics network for an e-commerce firm a case study. Oper. Supply Chain Manage. 13(1), 48\u201363 (2020). https:\/\/doi.org\/10.31387\/oscm0400252","DOI":"10.31387\/oscm0400252"},{"key":"9_CR14","unstructured":"Dasgupta, S., Kanchan, S., Kundu, T.: Creating a KPI tree for monitoring and controlling key business objectives of first mile logistics services. In: 9th International Conference on Industrial Engineering and Operations Management, IEOM 2019, 2019(Mar), 716\u2013727 (2019). Https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85067240367&partnerid=40&md5=6f22293a5e6e215fb702c50a7d0e22a4"},{"key":"9_CR15","doi-asserted-by":"publisher","unstructured":"Datta, S., Naruka, K.S., Sajidha, S.A., Nisha, V.M., Ragala, R.: Sanskriti\u2014a distributed e-commerce site implementation using blockchain. In: Lecture Notes on Data Engineering and Communications Technologies (vol. 139, pp. 329\u2013346). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-981-19-3015-7_24","DOI":"10.1007\/978-981-19-3015-7_24"},{"key":"9_CR16","unstructured":"Delivery failures hit nearly 75% of consumers. Multichannel merchant (2022). Https:\/\/multichannelmerchant.com\/blog\/delivery-failures-hit-nearly-75-percent-of-consumers\/"},{"issue":"2","key":"9_CR17","doi-asserted-by":"publisher","first-page":"507","DOI":"10.3390\/jtaer17020027","volume":"17","author":"A. Escudero-santana","year":"2022","unstructured":"Escudero-santana, A., Mu\u00f1uzuri, J., Lorenzo-espejo, A., Mu\u00f1oz-d\u00edaz, M.-L.: Improving e-commerce distribution through last-mile logistics with multiple possibilities of deliveries based on time and location. J. Theor. Appl. Electron. Commer. Res. 17(2), 507\u2013521 (2022). https:\/\/doi.org\/10.3390\/jtaer17020027","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"issue":"3","key":"9_CR18","doi-asserted-by":"publisher","first-page":"924","DOI":"10.1111\/1477-9552.12495","volume":"73","author":"C.E. Etumnu","year":"2022","unstructured":"Etumnu, C. E.: A competitive marketplace or an unfair competitor? An analysis of Amazon and its best sellers ranks. J. Agric. Econ. 73(3), 924\u2013937 (2022). Https:\/\/doi.org\/10.1111\/1477-9552.12495","journal-title":"J. Agric. Econ."},{"key":"9_CR19","doi-asserted-by":"publisher","unstructured":"Gonz\u00e1lez-mora, C., Barros, C., Garrig\u00f3s, I., Zubcoff, J., Lloret, E., Maz\u00f3n, J.-N.: Improving open data web API documentation through interactivity and natural language generation. Computer Standards and Interfaces, 83 (2023). https:\/\/doi.org\/10.1016\/j.csi.2022.103657","DOI":"10.1016\/j.csi.2022.103657"},{"key":"9_CR20","unstructured":"Google data studio overview. (n.d.). Google data studio overview. Https:\/\/datastudio.google.com\/u\/0\/"},{"key":"9_CR21","unstructured":"Google sheets: sign-in. (n.d.). Https:\/\/docs.google.com\/spreadsheets\/u\/0\/"},{"key":"9_CR22","doi-asserted-by":"publisher","unstructured":"Ha, X. S., Le, T. H., Phan, T. T., Nguyen, H. H. D., Vo, H. K., Duong-Trung, N.: Scrutinizing trust and transparency in\u00a0cash 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\u2013227). Springer Science and Business Media Deutschland Gmbh (2021). https:\/\/doi.org\/10.1007\/978-3-030-68851-6_15","DOI":"10.1007\/978-3-030-68851-6_15"},{"key":"9_CR23","doi-asserted-by":"publisher","unstructured":"Hasan, F., Mondal, S. K., Kabir, M. R., Al Mamun, M. A., Rahman, N. S., Hossen, M. S.: E-commerce merchant fraud detection using machine learning approach. In: 7th International Conference on Communication and Electronics Systems, ICCES 2022, 1123\u20131127 (2022). https:\/\/doi.org\/10.1109\/icces54183.2022.9835868","DOI":"10.1109\/icces54183.2022.9835868"},{"key":"9_CR24","unstructured":"https:\/\/www.sciencedirect.com\/science\/article\/pii\/s1877042812028625"},{"key":"9_CR25","doi-asserted-by":"publisher","unstructured":"Jaller, M., Dennis, S.: E-commerce and mobility trends during covid-19. In: Springer Tracts on Transportation and Traffic (vol. 20, pp. 79\u201393). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-3-031-00148-2_6","DOI":"10.1007\/978-3-031-00148-2_6"},{"key":"9_CR26","unstructured":"Javatpoint: (n.d.). \u201cMultiple linear regression\u2019. Https:\/\/www.javatpoint.com\/multiple-linear-regression-in-machine-learning"},{"key":"9_CR27","doi-asserted-by":"publisher","unstructured":"Kahr, M.: Determining locations and layouts for parcel lockers to support supply chain viability at the last mile. Omega (United Kingdom), 113 (2022). https:\/\/doi.org\/10.1016\/j.omega.2022.102721","DOI":"10.1016\/j.omega.2022.102721"},{"key":"9_CR28","doi-asserted-by":"publisher","unstructured":"Kolasi\u0144ska-morawska, K., Su\u0142kowski, \u0141., Bu\u0142a, P., Brzozowska, M., Morawski, P.: Smart logistics\u2014sustainable technological innovations in customer service at the last-mile stage: the polish perspective. Energies 15(17) (2022). https:\/\/doi.org\/10.3390\/en15176395","DOI":"10.3390\/en15176395"},{"issue":"1","key":"9_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00291-020-00607-8","volume":"43","author":"N Boysen","year":"2020","unstructured":"Boysen, N., Fedtke, S., Schwerdfeger, S.: Last-mile delivery concepts: a survey from an operational research perspective. OR Spectrum 43(1), 1\u201358 (2020). https:\/\/doi.org\/10.1007\/s00291-020-00607-8","journal-title":"OR Spectrum"},{"key":"9_CR30","doi-asserted-by":"publisher","unstructured":"Li, Y., Shi, J., Cao, F., Cui, A.: Product reviews analysis of e-commerce platform based on logistic-arma model. In: 2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021, pp. 714\u2013717 (2021). https:\/\/doi.org\/10.1109\/icpics52425.2021.9524238","DOI":"10.1109\/icpics52425.2021.9524238"},{"key":"9_CR31","doi-asserted-by":"publisher","unstructured":"Lu, S.-H., Kuo, R. J., Ho, Y.-T., Nguyen, A.-T.: Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem. Expert Syst. Appl. 209 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.118351","DOI":"10.1016\/j.eswa.2022.118351"},{"key":"9_CR32","doi-asserted-by":"publisher","unstructured":"Luo, X., Sun, Q., Yang, T., He, K., Tang, X.: Nondestructive determination of common indicators of beef for freshness assessment using airflow-three-dimensional (3D) machine vision technique and machine learning. J. Food Eng. 340 (2023). https:\/\/doi.org\/10.1016\/j.jfoodeng.2022.111305","DOI":"10.1016\/j.jfoodeng.2022.111305"},{"key":"9_CR33","doi-asserted-by":"publisher","unstructured":"Luo, Z., Gu, R., Poon, M., Liu, Z., Lim, A.: A last-mile drone-assisted one-to-one pickup and delivery problem with multi-visit drone trips. Comput. Oper. Res 148 (2022). https:\/\/doi.org\/10.1016\/j.cor.2022.106015","DOI":"10.1016\/j.cor.2022.106015"},{"key":"9_CR34","doi-asserted-by":"publisher","unstructured":"Mckinlay, A., Mitchell, G., Bertenshaw, C.: 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\u2013156 (2022). https:\/\/doi.org\/10.1111\/1742-6723.13927","DOI":"10.1111\/1742-6723.13927"},{"key":"9_CR35","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1007\/978-981-19-1122-4_51","volume-title":"Rising Threats in Expert Applications and Solutions: Proceedings of FICR-TEAS 2022","author":"A Muniasamy","year":"2022","unstructured":"Muniasamy, A., Bhatnagar, R.: Analyzing online reviews of customers using machine learning techniques. In: Rathore, V.S., Sharma, S.C., Joao Manuel, R.S., Tavares, C.M., Surendiran, B. (eds.) Rising Threats in Expert Applications and Solutions: Proceedings of FICR-TEAS 2022, pp. 485\u2013493. Springer Nature Singapore, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-19-1122-4_51"},{"key":"9_CR36","doi-asserted-by":"publisher","first-page":"125400","DOI":"10.1016\/j.jclepro.2020.125400","volume":"283","author":"A Mu\u00f1oz-Villamizar","year":"2021","unstructured":"Mu\u00f1oz-Villamizar, A., Vel\u00e1zquez-Mart\u00ednez, J.C., Haro, P., Ferrer, A., Mari\u00f1o, R.: The environmental impact of fast shipping ecommerce in inbound logistics operations: a case study in Mexico. J. Cleaner Prod. 283, 125400 (2021). https:\/\/doi.org\/10.1016\/j.jclepro.2020.125400","journal-title":"J. Cleaner Prod."},{"key":"9_CR37","doi-asserted-by":"publisher","unstructured":"Nagpal, G., Bishnoi, G.K., Dhami, H.S., Vijayvargia, A.: Use data analytics to increase the efficiency of last mile logistics for e-commerce deliveries. In hand-book of research on engineering, business, and healthcare applications of data science and analytics (pp. 167\u2013180). IGI global (2020). https:\/\/doi.org\/10.4018\/978-1-7998-3053-5.ch009","DOI":"10.4018\/978-1-7998-3053-5.ch009"},{"key":"9_CR38","doi-asserted-by":"publisher","unstructured":"Oviedo-trespalacios, O., Rubie, E., Haworth, N.: Risky business: comparing the riding behaviours of food delivery and private bicycle riders. Accident Anal. Prev. 177 (2022). https:\/\/doi.org\/10.1016\/j.aap.2022.106820","DOI":"10.1016\/j.aap.2022.106820"},{"key":"9_CR39","doi-asserted-by":"publisher","unstructured":"Peng, Y., Yi, J.: 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\u201337). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-981-19-2768-3_3","DOI":"10.1007\/978-981-19-2768-3_3"},{"key":"9_CR40","doi-asserted-by":"publisher","unstructured":"Pereira Marcilio Nogueira, G., Jos\u00e9 de Assis Rangel, J., Rossi Croce, P., Almeida Peixoto, T.: The environmental impact of fast delivery B2C e-commerce in outbound logistics operations: a simulation approach. Cleaner Logistics Supply Chain, 5 (2022). https:\/\/doi.org\/10.1016\/j.clscn.2022.100070","DOI":"10.1016\/j.clscn.2022.100070"},{"key":"9_CR41","doi-asserted-by":"publisher","unstructured":"P\u00e9rez-mor\u00f3n, J.M.: 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\u2013587). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-3-031-08093-7_38","DOI":"10.1007\/978-3-031-08093-7_38"},{"key":"9_CR42","unstructured":"Publow, P.F.: Consider third-party logistics to address your company\u2019s challenges. Canadian apparel, 31(3), 8\u20139+37 (2007). Https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-34347389742&partnerid=40&md5=e67e6298fb406f713299d15c40f90af1"},{"key":"9_CR43","doi-asserted-by":"publisher","unstructured":"Purwandari, B., Suriazdin, S.A., Hidayanto, A.N., Setiawan, S., Phusavat, K., Maulida, M.: Factors affecting switching intention from cash on delivery to e-payment services in c2c e-commerce transactions: covid-19, transaction, and technology perspectives. Emerg. Sci. J., 6(special issue), 136\u2013150 (2022). https:\/\/doi.org\/10.28991\/esj-2022-sper-010","DOI":"10.28991\/esj-2022-sper-010"},{"key":"9_CR44","doi-asserted-by":"publisher","unstructured":"Raj, N.V, Saini, J.R.: 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\u2013473). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-981-19-4052-1_46","DOI":"10.1007\/978-981-19-4052-1_46"},{"key":"9_CR45","unstructured":"Rider (yc wc22) on linkedin: #rider #withrider #ecommerce #logistics #ecommercelogistics #pakistan\u2026. (2022, june 7). Linkedin. Https:\/\/www.linkedin.com\/posts\/withrider_rider-withrider-ecommerce-activity-6939876673869746176-e9ji?utm_source=share&utm_medium=member_desktop"},{"key":"9_CR46","doi-asserted-by":"publisher","unstructured":"Sandoval, M.G., \u00c1lvarez-miranda, E., Pereira, J., R\u00edos-mercado, R. Z., D\u00edaz, J.A.: A novel districting design approach for on-time last-mile delivery: an application on an express postal company. Omega (United Kingdom), 113 (2022). https:\/\/doi.org\/10.1016\/j.omega.2022.102687","DOI":"10.1016\/j.omega.2022.102687"},{"key":"9_CR47","doi-asserted-by":"publisher","unstructured":"Stefko, R., Bacik, R., Fedorko, R., Olearova, M.: Gender-generation characteristic in relation to the customer behavior and purchasing process in terms of mobile marketing. Oeconomia copernicana 13(1), 181\u2013223 (2022). https:\/\/doi.org\/10.24136\/oc.2022.006","DOI":"10.24136\/oc.2022.006"},{"key":"9_CR48","unstructured":"Straight, B.: Failure is not a winning strategy in the last mile. Freightwaves (2022). Https:\/\/www.freightwaves.com\/news\/solving-for-last-mile-delivery-failures"},{"key":"9_CR49","unstructured":"Tpl logistics launches \u201crider\u201d | carspiritpk. Carspiritpk- pakistan\u2019s most trusted automotive blog (2019). Https:\/\/carspiritpk.com\/tpl-logistics-launches-rider\/"},{"key":"9_CR50","unstructured":"TPL logistics launches Pakistan\u2019s first live order tracking \u2013 customsnews.pk daily. Customsnews.pk daily \u2013 Pakistan customs, shipping & business news resource (2019). Https:\/\/customnews.pk\/2019\/12\/03\/tpl-logistics-launches-pakistans-first-live-order-tracking\/"},{"key":"9_CR51","doi-asserted-by":"publisher","unstructured":"Tran, N.A.T., et al.: Health and safety risks faced by delivery riders during the covid-19 pandemic. J. Transp. Health, 25 (2022). https:\/\/doi.org\/10.1016\/j.jth.2022.101343","DOI":"10.1016\/j.jth.2022.101343"},{"key":"9_CR52","doi-asserted-by":"publisher","unstructured":"Verma, R., Dhanda, N., Nagar, V.: 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\u2013692). Springer Science and Business Media Deutschland Gmbh (2023). https:\/\/doi.org\/10.1007\/978-981-19-1142-2_53","DOI":"10.1007\/978-981-19-1142-2_53"},{"key":"9_CR53","doi-asserted-by":"publisher","unstructured":"Wang, M., zhang, C., Bell, M.G.H., Miao, L.: A branch-and-price algorithm for location-routing problems with pick-up stations in the last-mile distribution system. Eur. J. Oper. Res. 303(3), 1258\u20131276 (2022). https:\/\/doi.org\/10.1016\/j.ejor.2022.03.058","DOI":"10.1016\/j.ejor.2022.03.058"},{"key":"9_CR54","doi-asserted-by":"publisher","unstructured":"Wu, G.: Research on the development path of logistics management innovation in e-commerce environment. In: 2020 6th International Conference on Environmental Science and Material Application, ESMA 2020, 714(4) (2021). https:\/\/doi.org\/10.1088\/1755-1315\/714\/4\/042022","DOI":"10.1088\/1755-1315\/714\/4\/042022"},{"key":"9_CR55","doi-asserted-by":"publisher","unstructured":"Xu, J., Yang, Z., Wang, Z., Li, J., Zhang, X.: Flexible sensing enabled packaging performance optimization system (fs-ppos) for lamb loss reduction control in e-commerce supply chain. Food Control, 145 (2023). https:\/\/doi.org\/10.1016\/j.foodcont.2022.109394","DOI":"10.1016\/j.foodcont.2022.109394"},{"key":"9_CR56","doi-asserted-by":"publisher","unstructured":"Yin, L., Zhong, R. R., Wang, J.: Ontology based package design in fresh e-commerce logistics. Expert systems with applications, 212 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2022.118783","DOI":"10.1016\/j.eswa.2022.118783"},{"key":"9_CR57","doi-asserted-by":"publisher","unstructured":"Yun, K.K., Yoon, S.W., Won, D.: Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection. Expert Syst. Appl. 213 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2022.118803","DOI":"10.1016\/j.eswa.2022.118803"}],"container-title":["Lecture Notes in Computer Science","HCI in Business, Government and Organizations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35969-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:30:50Z","timestamp":1710347450000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35969-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031359682","9783031359699"],"references-count":57,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35969-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"17 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1578","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"396","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}