The Future of Grocery Shopping? A Taxonomy-Based Approach to Classify E-Grocery Fulfillment Concepts

Bibtex

@Select Types{,
  
   
  
   
  title    = "The Future of Grocery Shopping? A Taxonomy-Based Approach to Classify E-Grocery Fulfillment Concepts", 
  author    = "Christoph von Viebahn, Marvin Auf der Landwehr and Maik Trott", 
  doi    = "https://doi.org/10.30844/wi_2020_j2-viebahn", 
  abstract    = "In order to cope with competition and sustain business performance within a digital environment, grocery providers need to identify and establish suitable fulfillment models. During the last two decades, a huge amount of fulfillment concepts has emerged, emphasizing different focus points. With this contribution, we aim to structure the field of e-grocery fulfillment and support retailers in choosing or refining profitable fulfillment models. Based on a systematic literature review and several fulfillment instances, we developed a taxonomy with 20 dimensions and 61 characteristics. Subsequently, a cluster analysis was employed to identify six concept archetypes, serving as useful basis for digital grocery business. Ultimately, our results provide a foundation for both academia and retail to advance the knowledge of e-service fulfillment models.

", 
  keywords    = "Digital Transformation, Taxonomy, Home Delivery, E-Grocery, Cluster Analysis", 
}

Abstract

Abstract

In order to cope with competition and sustain business performance within a digital environment, grocery providers need to identify and establish suitable fulfillment models. During the last two decades, a huge amount of fulfillment concepts has emerged, emphasizing different focus points. With this contribution, we aim to structure the field of e-grocery fulfillment and support retailers in choosing or refining profitable fulfillment models. Based on a systematic literature review and several fulfillment instances, we developed a taxonomy with 20 dimensions and 61 characteristics. Subsequently, a cluster analysis was employed to identify six concept archetypes, serving as useful basis for digital grocery business. Ultimately, our results provide a foundation for both academia and retail to advance the knowledge of e-service fulfillment models.

Keywords

Schlüsselwörter

Digital Transformation, Taxonomy, Home Delivery, E-Grocery, Cluster Analysis

References

Referenzen

1. Oswald, G., Krcmar, H.: Digitale Transformation. Fallbeispiele und Branchenanalysen. Springer Fachmedien Wiesbaden, Wiesbaden (2018)
2. Hardi, L., Wagner, U.: Grocery Delivery or Customer Pickup – Influences on Energy Consumption and CO2 Emissions in Munich. Sustainability 11, 641 (2019)
3. Seitz, C., Pokrivčák, J., Tóth, M., Plevný, M.: Online Grocery Retailing In Germany: An Explorative Analysis. Journal of Business Economics and Management 18, 1243–1263 (2017)
4. Heinemann, G., Gehrckens, H.M., Wolters, U.J.: Digitale Transformation oder digitale Disruption im Handel. Springer Fachmedien Wiesbaden, Wiesbaden (2016)
5. Stüber, E., Hudetz, K., Becker, G.: Veränderung der Geschäftsmodelle im Handel durch die Digitalisierung. In: Gläß, R., Leukert, B. (eds.) Handel 4.0, pp. 213–233. Springer Berlin Heidelberg, Berlin, Heidelberg (2017)
6. Waitz, M., Mild, A., Fikar, C.: A Decision Support System for Efficient Last-Mile Distribution of Fresh Fruits and Vegetables as Part of E-Grocery Operations. In: Bui, T. (ed.) Proceedings of the 51st Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2018)
7. Martín, J., Pagliara, F., Román, C.: The Research Topics on E-Grocery: Trends and Existing Gaps. Sustainability 11, 321 (2019)
8. Hawes, J.M., Crittenden, W.F.: A taxonomy of competitive retailing strategies. Strategic Management Journal. 5, 275–287 (1984)
9. Webster, J., Watson, R.T.: Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 8–23 (2002)
10. Nickerson, R.C., Varshney, U., Muntermann, J.: A Method for Taxonomy Development and Its Application in IS. European Journal of Information Systems 22, 336-359 (2013)
11. Durand, B., Gonzalez-Feliu, J.: Urban Logistics and E-Grocery: Have Proximity Delivery Services a Positive Impact on Shopping Trips? Procedia – Social and Behavioral Sciences 39, 510–520 (2012)
12. Auf der Landwehr, M., Trott, M., von Viebahn, C.: E-Grocery in Terms of Sustainability – Simulating the Environmental Impact of Grocery Shopping for an Urban Area in Hanover. In: Putz, M., Schlegel, A. (eds.) Simulation in Produktion und Logistik, pp. 87–96. Verlag Wissenschaftliche Scripten, Auerbach (2019)
13. Eriksson, E., Norrman, A., Kembro, J.: Contextual adaptation of omni-channel grocery retailers’ online fulfillment centres. International Journal of Retail & Distribution Management 26, 328 (2019)
14. Driediger, F., Bhatiasevi, V.: Online grocery shopping in Thailand: Consumer acceptance and usage behavior. Journal of Retailing and Consumer Services 48, 224–237 (2019)
15. Jordan, Y., Viebahn, C. von, Haller, S.: Konzeptionierung von Use Cases für die urbane Logistik in einer Schweizer Smart City mittels Design Thinking. In: Tokarski, K.O., Schellinger, J., Berchtold, P. (eds.) Nachhaltige Unternehmensführung, 32, pp. 391–420. Springer Fachmedien Wiesbaden, Wiesbaden (2019)
16. Davies, A., Dolega, L., Arribas-Bel, D.: Buy online collect in-store: exploring grocery click&collect using a national case study. International Journal of Retail & Distribution Management 47, 278–291 (2019)
17. Cebollada, J., Chu, Y., Jiang, Z.: Online Category Pricing at a Multichannel Grocery Retailer. Journal of Interactive Marketing 46, 52–69 (2019)
18. Kureshi, S., Thomas, S.: Online grocery retailing – exploring local grocers beliefs. International Journal of Retail & Distribution Management 47, 157–185 (2019)
19. Fikar, C.: A decision support system to investigate food losses in e-grocery deliveries. Computers & Industrial Engineering 117, 282–290 (2018)
20. Melacini, M., Perotti, S., Rasini, M., Tappia, E.: E-fulfilment and distribution in omnichannel retailing: a systematic literature review. International Journal of Physical Distribution & Logistic Management 48, 391–414 (2018)
21. Hübner, A., Kuhn, H., Wollenburg, J.: Last mile fulfilment and distribution in omnichannel grocery retailing. International Journal of Retail & Distribution Management 44, 228–247 (2016)
22. Wollenburg, J., Hübner, A., Kuhn, H., Trautrims, A.: From bricks-and-mortar to bricksand- clicks. Int Jnl Phys Dist & Log Manage 48, 415–438 (2018)
23. Mkansi, M., Eresia-Eke, C., Emmanuel-Ebikake, O.: E-grocery challenges and remedies: Global market leaders perspective. Cogent Business & Management 5, 147 (2018)
24. Saleem, M., Mateen Khan, M., Ekhlaque Ahmed, M., Ali Neha Shah, S., Rafiq Surti, S.: Online Grocery Shopping and Consumer Perception: A Case of Karachi Market in Pakistan. JIEBS 2018, 1–13 (2018)
25. Evers, J. M., Tavasszy, L., van Duin, R., Schott, D., Gorte, F.: Demand forecast models for online supermarkets. In E-groceries, digitalization and sustainability: Which governance, planning and regulation mix do our cities need? Molde University (2018)
26. Koutsomitis, S., Lochmahr, A.: Lebensmittellogistik im Zuge der Digitalisierung – ökonomische und ökologische Aspekte der letzten Meile. In: Lochmahr (ed.) Digitalen Wandel gestalten, pp. 151–163. Springer Fachmedien Wiesbaden, Wiesbaden (2019)
27. Emeç, U., Çatay, B., Bozkaya, B.: An Adaptive Large Neighborhood Search for an Egrocery Delivery Routing Problem. Computers & Operations Research 69, 109–125 (2016)
28. Siikavirta, H., Punakivi, M., Kärkkäinen, M., Linnanen, L.: Effects of E-Commerce on Greenhouse Gas Emissions: A Case Study of Grocery Home Delivery in Finland. Journal of Industrial Ecology 6, 83–97 (2002)
29. Yousept, I., Li, F.: Building an Online Grocery Business. International Journal of Cases on Electronic Commerce 1, 57–78 (2005)
30. Palmer, J., Kallio, J., Saarinen, T., Tinnila, M., Tuunainen, V.K., van Heck, E.: Online Grocery Shopping Around the World: Examples of Key Business Models. CAIS 4 (2000)
31. Pan, S., Giannikas, V., Han, Y., Grover-Silva, E., Qiao, B.: Using customer-related data to enhance e-grocery home delivery. Industrial Management & Data Systems 117, 1917– 1933 (2017)
32. Kämäräinen, V., Saranen, J., Holmström, J.: The reception box impact on home delivery efficiency in the e‐grocery business. International Journal of Physical Distribution & Logistics Management 31, 414–426 (2001)
33. Marchet, G., Melacini, M., Perotti, S., Rasini, M., Tappia, E.: Business logistics models in omni-channel: a classification framework and empirical analysis. International Journal of Physical Distribution & Logistics Management 48, 439–464 (2018)
34. Lim, S.F.W.T., Jin, X., Srai, J.S.: Consumer-driven e-commerce.: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management 48, 308–332 (2018)
35. Hays, T., Keskinocak, P., López, V.M. de: Strategies and Challenges of Internet Grocery Retailing Logistics. In: Pardalos, P.M., Hearn, D.W., Geunes, J., Akçali, E., Romeijn, H.E., Shen, Z.-J.M. (eds.) Applications of Supply Chain Management and E-Commerce Research, 92, pp. 217–252. Springer US, Boston, MA (2005)
36. Punakivi, M., Saranen, J.: Identifying the success factors in e‐grocery home delivery. Intl J of Retail & Distribution Management 29, 156–163 (2001)
37. Ogawara, S., Chen, J.C.H., Zhang, Q.: Internet grocery business in Japan: current business models and future trends. Industrial Management & Data Systems 103, 727–735 (2003)
38. Fernie, J., Sparks, L.: Logistics and retail management. Emerging issues and new challenges in the retail supply chain. Kogan Page, London (2014)
39. Wang, X., Zhan, L., Ruan, J., Zhang, J.: How to Choose “Last Mile” Delivery Modes for E-Fulfillment. Mathematical Problems in Engineering 2014, 1–11 (2014)
40. Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data. John Wiley & Sons, Inc, Hoboken, NJ, USA (1990)
41. Punj, G., Stewart, D.W.: Cluster Analysis in Marketing Research: Review and Suggestions for Application. Journal of Marketing Research 20, 134–148 (1983)
42. Ward, J.H.: Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association 58, 236–244 (1963)
43. Hartigan, J.A., Wong, M.A.: Algorithm AS 136: A K-Means Clustering Algorithm. Applied Statistics 28, 100 (1979)
44. Thomas, L.D.W., Autio, E., Gann, D.M.: Architectural Leverage: Putting Platforms in Context. Academy of Management Perspectives 28, 198-219 (2014)
45. Fishkin, K.: A taxonomy for and analysis of tangible interfaces. Pers Ubiquit Comput 8 (2004)

Most viewed articles

Meist angesehene Beiträge

GITO events | library.gito