E-grocery challenges and remedies: Global market leaders perspective

References

• Aastrup, J., & Kotzab, H. (2010). Forty years of out-of-stock research – And shelves are still empty. The International Review of Retail, Distribution, and Consumer Research, 20(1), 147–164.10.1080/09593960903498284
   Google Scholar
• Abbott, H., & Palekar, U. S. (2008). Retail replenishment models with display-space elastic demand. European Journal of Operational Research, 186, 586–607.10.1016/j.ejor.2006.12.067
   Web of Science ®Google Scholar
• Agatz, N., Campbell, A., Fleischmann, M., & Savelsbergh, M. (2011). Time sot management in attended home delivery. Transportation Science, 3(2011), 435–449. doi:10.1287/trsc.1100.0346.
   Web of Science ®Google Scholar
• Anu, B., Mervi, L., & Markku, T. (2012). E-commerce logistics: A literature review and topics for future research. International Journal of E-Services and Mobile Applications, 4(3), 1–22.
   Google Scholar
• Asdemir, K., Jacob, V. S., & Krishnan, R. (2009). Dynamic pricing of multiple home delivery options. European Journal of Operational Research, 196(1), 246–257.10.1016/j.ejor.2008.03.005
   Web of Science ®Google Scholar
• Aspray, W., Royer, G., & Ocepek, M. G. (2013). Anatomy of a dot-com failure: The case of online grocer Webvan. In W. Aspray, G. Royer, & M. G. Ocepek (Eds.), Food in the internet age (pp. 25–35). Boston, MA: Springer.10.1007/978-3-319-01598-9
   Google Scholar
• Azi, N., Gendreau, M., & Potvin, J. (2007). An exact algorithm for a single-vehicle routing problem with time windows and multiple routes. European Journal of Operational Research, 178(3), 755–766.10.1016/j.ejor.2006.02.019
   Web of Science ®Google Scholar
• Babbie, E. (2015). The practice of social research (14th ed.). Boston, MA: Cengage Learning.
   Google Scholar
• Bijvank, M., Bhulai, S., & Huh, W. T. (2015). Parametric replenishment policies for inventory systems with lost sales and fixed order cost. European Journal of Operational Research, 241, 381–390.10.1016/j.ejor.2014.09.018
   Web of Science ®Google Scholar
• Bocij, P., Greasley, A., & Hickie, S. (2015). Business information systems: Technology, development and management for the e-business (5th ed.). Harlow: Pearson.
   Google Scholar
• Breugelmans, E., & Campo, K. (2016). Cross-channel effects of price promotions: An empirical analysis of the multi-channel grocery retail sector. Journal of Retailing, 92(3), 333–351.10.1016/j.jretai.2016.02.003
   Web of Science ®Google Scholar
• Cagliano, A. C., De Marco, A., & Rafele, C. (2017). E-grocery supply chain management enabled by mobile technologies. Business Process Management Journal, 23(1), 47–70.10.1108/BPMJ-01-2016-0002
   Web of Science ®Google Scholar
• Cattaruzza, D., Absi, N., Feillet, D., & González-Feliu, J. (2015). Vehicle routing problems for city logistics. EURO Journal on Transportation and Logistics, 6(1), 51–79.
   Web of Science ®Google Scholar
• Centre for Retail Research. (2014). Online retailing: Britain, Europe and the US. Retrieved from http://www.retailresearch.org/onlineretailing.php
   Google Scholar
• Close, A. G., & Kukar-Kinney, M. (2010). Beyond buying: Motivations behind consumers’ online shopping cart use. Journal of Business Research, 63(9–10), 986–992.10.1016/j.jbusres.2009.01.022
   Web of Science ®Google Scholar
• Coelho, L. C., & Laporte, G. (2014). Optimal joint replenishment, delivery and inventory management policies for perishable products. Computers and Operations Research, 47, 42–52.10.1016/j.cor.2014.01.013
   Web of Science ®Google Scholar
• Colla, E., & Lapoule, P. (2012). E‐commerce: Exploring the critical success factors. International Journal of Retail and Distribution Management, 40(11), 842–864.10.1108/09590551211267601
   Google Scholar
• De Marco, A., Cagliano, A. C., Margano, G., & Perfetti, F. (2014). Factor influencing logistics service providers efficiency’ in urban distribution systems. Transportation Research Procedia, 3, 499–507.10.1016/j.trpro.2014.10.031
   Google Scholar
• Ehmke, J. F., & Campbell, A. M. (2014). Customer acceptance mechanisms for home deliveries in metropolitan areas. European Journal of Operational Research, 233(1), 193–207.10.1016/j.ejor.2013.08.028
   Web of Science ®Google Scholar
• Ehmke, J. F., & Mattfield, D. C. (2012). Vehicle routing for attended home delivery in city logistics. Procedia – Social and Behavioral Science, 39(2012), 622–632.10.1016/j.sbspro.2012.03.135
   Google Scholar
• Fera, M., Fruggiero, F., Lambiase, A., Macchiaroli, R., & Miranda, S. (2017). The role of uncertainty in supply chains under dynamic modelling. International Journal of Industrial Engineering Computations, 8(2017), 119–140.10.5267/j.ijiec.2016.6.003
   Web of Science ®Google Scholar
• Fernie, J., & Sparks, L. (2009). Logistics and retail management: Emerging issues and new challenges in the retail supply chain (3rd ed.). London: Kogan Page.
   Google Scholar
• Fernie, J., & Sparks, L. (2014). Logistics and retail management: Emerging issues and new challenges in the retail supply chain (4th ed.). London: Kogan Page.
   Google Scholar
• Fernie, J., Sparks, L., & McKinnon, A. C. (2010). Retail logistics in the UK: Past, present and future. International Journal of Retail and Distribution Management, 38(11/12), 894–914.10.1108/09590551011085975
   Google Scholar
• Freathy, P., & Calderwood, E. (2013). The impact of internet adoption upon the shopping behavior of island residents. Journal of Retailing and Consumer Services, 20(1), 111–119.10.1016/j.jretconser.2012.10.012
   Google Scholar
• Fruggiero, F., Riemma, S., Ouazene, Y., Macchiaroli, R., & Guglielmi, V. (2016). Incorporating the human factor within manufacturing dynamics. IFAC-PapersOnLine, 49(12), 1691–1696.10.1016/j.ifacol.2016.07.825
   Google Scholar
• Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2011). Characteristics and typology of last-mile logistics from an innovation perspective in urban context. In C. Macharis & S. Melo (Eds.), City distribution and urban freight transport: Multiple perspectives (pp. 56–71). Cheltenham: Edward Elgar.
   Google Scholar
• Grewal, C. S., Enns, S., & Rogers, P. (2015). Dynamic reorder point replenishment strategies for a capacitated supply chain with seasonal demand. Computers & Industrial Engineering, 80, 97–110.10.1016/j.cie.2014.11.009
   Web of Science ®Google Scholar
• Hagberg, J., & Holmberg, U. (2017). Travel modes in grocery shopping. International Journal of Retail and Distribution Management, 45(9), 991–1010.10.1108/IJRDM-08-2016-0134
   Web of Science ®Google Scholar
• Hand, C., Riley, F. D., Harris, P., Singh, J., & Rettie, R. (2008). Online grocery shopping: The influence of situational factors. European Journal of Marketing, 43(9/10), 1205–1219.
   Web of Science ®Google Scholar
• Harris, P., Riley, F. D., Riley, D., & Hand, C. (2017). Online and store patronage: A typology of grocery shoppers. International Journal of Retail and Distribution Management, 45(4), 419–445.10.1108/IJRDM-06-2016-0103
   Web of Science ®Google Scholar
• Hsieh, H., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288.10.1177/1049732305276687
   PubMed Web of Science ®Google Scholar
• Hubner, A., Kuhn, H., & Wollenburg, J. (2016). Last mile fulfilment and distribution in omni-channel grocery retailing: A strategic planning framework. International Journal of Retail and Distribution Management, 44(3), 228–247.10.1108/IJRDM-11-2014-0154
   Web of Science ®Google Scholar
• Institute of Grocery Distribution. (2015). UK grocery retailing. Retrieved from http://www.igd.com/Research/Retail/retail-outlook/3371/UK-Grocery-Retailing/
   Google Scholar
• Internet Retailer. (2014). U.S. online retail sales will grow 57% by 2018. Retrieved from https://www.digitalcommerce360.com/2014/05/12/us-online-retail-sales-will-grow-57-2018/
   Google Scholar
• Ishfag, R., Defee, C. C., Gibson, B. J., & Raja, U. (2016). Realignment of the physical distribution process in omni-channel fulfilment. International Journal of Physical Distribution and Logistics Management, 46(6/7), 543–561.10.1108/IJPDLM-02-2015-0032
   Web of Science ®Google Scholar
• Iwan, S., Kijewska, K., & Lemke, J. (2016). Analysis of parcel lockers’ efficiency as the last mile delivery solution – The results of the research in Poland. Transportation Research Procedia, 12, 644–655.10.1016/j.trpro.2016.02.018
   Google Scholar
• Kang, C., Moon, J., Kim, T., & Choe, Y. (2016). Why consumers go to online grocery: Comparing vegetables with grains. In Proceedings of the 49th Hawaii International Conference on System Sciences, HICSS 2016 (pp. 3604–3613).10.1109/HICSS.2016.450
   Google Scholar
• Kee-hung, L., & Cheng, T. C. E. (2016). Just-in-time logistics. Routledge.
   Google Scholar
• Lanzilotto, A., Martino, G., Gnoni, M. G., & Iannone, R. (2014). Impact analysis of a cross-channel strategy in the fashion retail industry: A conceptual framework. Conference XIX Summer School, Summer School “Francesco Turco, Senigallia (AN).
   Google Scholar
• Martìnez-de-Albèniz, V., & Boada Collado, P. (2014). Estimating and optimizing the impact of inventory on consumer choices in a fashion retail setting. IESE Business School, University of Navarra.
   Google Scholar
• Martino, G., Fera, M., Iannone, R., & Miranda, S. (2017). Supply chain risk assessment in the fashion retail industry: An analytical network process approach. International Journal of Applied Engineering Research, 12(2), 140–154.
   Google Scholar
• Martino, G., Yuce, B., Iannone, R., & Packianather, M. S. (2016). Optimisation of the replenishment problem in the Fashion Retail Industry using Tabu-Bees algorithm. IFAC-PapersOnLine, 49(12), 1685–1690.10.1016/j.ifacol.2016.07.823
   Google Scholar
• Melis, K., Campo, K., Breugelmans, E., & Lamey, L. (2015). The impact of the multi-channel mix on online store choice: Does online experience matter? Journal of Retailing, 91(2), 272–288.10.1016/j.jretai.2014.12.004
   Web of Science ®Google Scholar
• Mortimer, G., Hasan, S. F., Andrews, L., & Martin, J. (2016). Online grocery shopping: The impact of shopping frequency on perceived risk. International Review of Retail, Distribution, and Consumer Research, 11(2), 83–90.
   Google Scholar
• Novotna, V., & Varysova, T. (2015). The application of functions of several variables analysis in an optimal replenishment policy for deteriorating items. Procedia Economics and Finance, 23, 1217–1226.10.1016/S2212-5671(15)00535-3
   Google Scholar
• Pan, A., Leung, S., Moon, K., & Yeung, K. (2009). Optimal reorder decision-making in the agent-based apparel supply chain. Expert System with Applications, 36, 8571–8581.10.1016/j.eswa.2008.10.081
   Web of Science ®Google Scholar
• Pan, S., Giannikas, V., Han, Y., Grover-Silva, E., & Qiao, B. (2017). Using customer-related data to enhance e-grocery home delivery. Industrial Management and Data Systems, 117(9), 1917–1933.10.1108/IMDS-10-2016-0432
   Web of Science ®Google Scholar
• Pantano, E., Nguyen, B., Dennis, C., & Gerlach, S. (2016). Internet retailing and future perspectives. Retrieved from https://books.google.co.za/books?id=kmyuDQAAQBAJ&pg=PT71&dq=business+value+of+eretailing&hl=en&sa=X&ved=0ahUKEwiw4sGuvsDXAhVIKsAKHXFPCeMQuwUIRzAE#v=onepage&q=business%20value%20of%20eretailing&f=false
   Google Scholar
• Punakivi, M., & Saranen, J. (2001). Identifying the success factors in e-grocery home delivery. International Journal of Physical Distribution and Logistics Management, 31(6), 427–439.10.1108/09600030110399423
   Google Scholar
• Qu, H., Wang, L., & Li, R. (2015). A contrastive study of the stochastic location-inventory problem with joint replenishment and independent replenishment. Expert Systems with Applications, 42, 2061–2072.10.1016/j.eswa.2014.10.017
   Web of Science ®Google Scholar
• Reiner, G., Teller, C., & Kotzab, H. (2013). Analyzing the efficient execution of in-store logistics processes in grocery retailing-the case of dairy products. Production and Operations Management, 22(4), 924–939.10.1111/poms.2013.22.issue-4
   Web of Science ®Google Scholar
• Rotem-Mindali, O., & Weltevreden, J. W. J. (2013). Transport effects of e-commerce: What can be learned after years of research? Transportation, 40(5), 867–885.10.1007/s11116-013-9457-6
   Web of Science ®Google Scholar
• Rushton, A., Croucher, P., & Barker, P. (2014). The handbook of logistics and distribution management: Understanding the supply chain (5th ed.). London: Kogan Page.
   Google Scholar
• Saskia, S., Marei, N., & Blanquart, C. (2016). Innovations in e-grocery and logistics solutions for cities. Transportation Research Procedia, 12, 825–835.10.1016/j.trpro.2016.02.035
   Google Scholar
• Saunders, M., Lewis, P., & Thornhill, A. (2015). Research methods for business students. Pearson Education.
   Google Scholar
• Scott, J. E., & Scott, C. H. (2008, January). Online grocery order fulfilment trade-offs. In Proceedings of the 41st Hawaii International Conference on Systems Sciences (pp. 90).
   Google Scholar
• Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill building approach. West Sussex: Wiley.
   Google Scholar
• Sreeram, A., Kesharwani, A., & Desai, S. (2017). Factors affecting satisfaction and loyalty in online grocery shopping: An integrated model. Journal of Indian Business Research, 9(2), 107–132.10.1108/JIBR-01-2016-0001
   Web of Science ®Google Scholar
• Statista. (2016). Global retail e-commerce sales volume from 2013 to 2018. Retrieved from https://www.statista.com/statistics/222128/global-e-commerce-sales-volume-forecast/
   Google Scholar
• Statista. (2017). Annual retail e-commerce sales growth worldwide from 2014 to 2021. Retrieved from https://www.statista.com/statistics/288487/forecast-of-global-b2c-e-commerce-growt/
   Google Scholar
• Turban, E., King, D., Lee, J. K., Liang, T., & Turban, D. (2015). Electronic commerce: A managerial and social network perspective (8th ed.). Springer International Publishing.10.1007/978-3-319-10091-3
   Google Scholar
• Turban, E., Whiteside, J., King, D., & Outland, J. (2017). Introduction to electronic commerce and social commerce. Retrieved from https://books.google.co.za/books?id=Jmm8DgAAQBAJ&printsec=frontcover&dq=Efraim+Turban&hl=en&sa=X&ved=0ahUKEwiIsrOmu8DXAhVhBMAKHTjZCMw4ChC7BQg4MAI#v=onepage&q=Efraim%20Turban&f=false10.1007/978-3-319-50091-1
   Google Scholar
• Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.10.1016/j.jretai.2015.02.005
   Web of Science ®Google Scholar
• Wang, C., Mao, Z., O’Kane, J., & Wang, J. (2016). An exploration on e-retailers’ home delivery: Strategic elements and their prioritization. Business Process Management Journal, 22(3), 614–633.10.1108/BPMJ-04-2015-0048
   Web of Science ®Google Scholar
• Wiengarten, F., Fynes, B., Humphreys, P., Chavez, R. C., & McKittrick, A. (2011). Assessing the value creation process of e-business along the supply chain. Supply Chain Management, 16(4), 207–219.10.1108/13598541111139035
   Web of Science ®Google Scholar
• Williams, J., Memery, J., Megicks, P., & Morrison, M. (2010). Ethics and social responsibility in Australian grocery shopping. International Journal of Retail and Distribution Management, 38(4), 297–316.10.1108/09590551011032108
   Google Scholar
• Yang, X., Strauss, A., Currie, C., & Eglese, R. (2014). Choice-based demand management and vehicle routing in e-fulfillment. Transportation Science, 50(2), 473–488.
   Web of Science ®Google Scholar
• Yin, R. (2013). Case study research: Design and methods (5th ed.). Sage.
   Google Scholar
• Zhu, S. X. (2013). Dynamic replenishment, production, and pricing decisions, in the face of supply disruption and random price-sensitive demand. International Journal of Production Economics, 146, 612–619.10.1016/j.ijpe.2013.08.009
   Web of Science ®Google Scholar