Most successful business models in logistics innovations - the review of crowd logistics solutions

• Autorzy: Szmelter-Jarosz Agnieszka , Chmiel Beata , Śledzik Karol

Identyfikatory

DOI

10.17270/J.LOG.2023.840

• Języki publikacji: EN

Abstrakty

EN

Background: Crowd logistics is a relatively new phenomenon that has emerged due to the growing demand for flexible, efficient, and sustainable delivery solutions. This paper presents an empirical study of crowd logistics initiatives by collecting a comprehensive dataset of companies operating in this field. Our research aims to identify the elements of the most successful crowd logistics business models and identifies the causes for their failures. Materials and methods: To achieve these goals, we conduct a systematic screening of the world market, which allows us to identify a diverse set of crowd logistics initiatives, ranging from small startups to well-established companies. We then classify these initiatives based on their business models, main business areas, and services. We also review the EU-funded projects related to the development of crowd logistics. Finally, we analyze the main business areas of each initiative, such as urban logistics, last-mile delivery, and transportation of goods. Results: We present the full view of crowd logistics solutions worldwide, their main characteristics, and models to build a complete picture of those solutions and assess them as being successful or unsuccessful by providing the list of the features identified as success factors and failure factors. Conclusions: Finally, we conclude that crowd logistics, despite many failures observed worldwide, can be a successful solution for urban logistics if it meets the requirements mentioned in the results section. Our findings provide insights into the emerging landscape of crowd logistics and offer practical implications for managers, policymakers, and researchers.

Słowa kluczowe

EN

crowd logistics; sharing economy; urban logistics; urban flows; crowdfunding

PL

ekonomia współdzielenia; logistyka miejska; finansowanie społecznościowe

• Wydawca: Wyższa Szkoła Logistyki
• Czasopismo: LogForum
• Rocznik: 2023
• Tom: Vol. 19, no. 3
• Strony: 317--330
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Szmelter-Jarosz Agnieszka

• Department of Logistics, Faculty of Economics, University of Gdańsk, Sopot, Poland

• https://orcid.org/0000-0002-6183-6114

autor

Chmiel Beata

• Doctoral School of Humanities and Social Sciences, University of Gdańsk, Gdańsk, Poland

• https://orcid.org/0000-0002-0408-8690

autor

Śledzik Karol

• Department of Banking and Finance, Faculty of Management, University of Gdańsk, Sopot, Poland

• https://orcid.org/0000-0003-1269-1358

Bibliografia

• 1. Alharbi A., Cantarelli C., Brint A., 2022. Crowd Models for Last Mile Delivery in an Emerging Economy. Sustainability (Switzerland), 14(3): 1–20. https://doi.org/10.3390/su14031401
• 2. Barney J., 1991. Firm resources and sustained competitive advantage. Journal of Management, 17(1): 99-120. https://doi.org/10.1177/014920639101700108
• 3. Bin H., Yu X., Zheng Y., Jiang Y., Wang H., 2021. The Influence of Trust on Crowd Logistics Enterprise’s Operational Performance: A SEM-PLS Model. Scientific Programming, 2021: 1–14. https://doi.org/10.1155/2021/6403293
• 4. Bortolini M., Calabrese F., Galizia F.G., 2022. Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy. Sustainability (Switzerland), 14(16881): 1–17. https://doi.org/10.3390/su142416881
• 5. Buldeo H., Verlinde S., Merckx J., Macharis C., 2017. Crowd logistics: an opportunity for more sustainable urban freight transport?. European Transport Research Review, 9: 1-13. https://doi.org/10.1007/s12544-017-0256-6
• 6. Carbone V., Rouquet A., Roussat C., 2017. The rise of crowd logistics: a new way to co‐create logistics value. Journal of Business Logistics, 38(4): 238-252.
• 7. Chandy R.K., Tellis G.J., 2000. The incumbent’s curse? Incumbency, size, and radical product innovation. Journal of Marketing, 64(3): 1-17. https://doi.org/10.1509/jmkg.64.3.1.18033
• 8. Cheng Y., van de Ven A.H., 1996. Learning the innovation journey: order out of chaos?. Organization Science, 7(6): 593-614. http://dx.doi.org/10.1287/orsc.7.6.593
• 9. Christensen C.M., 1992. Exploring the limits of the technology S‐curve. Part II: Architectural technologies. Production and Operations Management, 1(4): 358-366. https://doi.org/10.1111/j.1937-5956.1992.tb00002.x
• 10. Cieplińska J. R., Szmelter-Jarosz A., 2020. Toward most valuable city logistics initiatives: Crowd logistics solutions’ assessment model. Central European Management Journal, 28(2): 38–56. https://doi.org/10.7206/cemj.2658-0845.21
• 11. Cohen B., Kietzmann J., 2014. Ride on! Mobility business models for the sharing economy. Organization & Environment, 27: 279-296. https://doi.org/10.1177/1086026614546199
• 12. Dhanaraj C., Parkhe A., 2006. Orchestrating innovation networks. Academy of Management Review, 31(3): 659-69. https://doi.org/10.5465/amr.2006.21318923
• 13. Grawe S.J., 2009. Logistics innovation: a literature‐based conceptual framework. The International Journal of Logistics Management, 20(3): 360-377. https://doi.org/10.1108/09574090911002823
• 14. Hanush H., Pyka A., 2007. Elgar Companion to Neo-Schumpeterian Economics. Edward Elgar, Cheltenham. https://doi.org/10.4337/9781847207012.00003
• 15. Hunt S.D., 2002. Resource-advantage theory and Austrian economics. In N.J. Foss, P. Klein (Eds), Entrepreneurship and the Firm: Austrian Perspectives on Economic Organization, Edward Elgar, Cheltenham: 248-272. https://doi.org/10.1108/17557501211195046
• 16. Hunt S.D., Morgan R.M., 1996. The resource-advantage theory of competition: dynamics, path dependencies, and evolutionary dimensions. Journal of Marketing, 60(4): 107-114. http://dx.doi.org/10.1108/02651330810877207
• 17. Klumpp, M. (2017). Crowdsourcing in Logistics : An Evaluation Scheme. 401–411. https://doi.org/10.1007/978-3-319-45117-6
• 18. Lee S.M., Trimi S., 2021. Convergence innovation in the digital age and in the COVID-19 pandemic crisis. Journal of Business Research, 123: 14-22. https://doi.org/10.1016%2Fj.jbusres.2020.09.041
• 19. Li S., Wu W., Xia Y., Zhang M., Wang S., Douglas M.A., 2019. How do crowd logistics platforms create value? An exploratory case study from China. International Journal of Logistics Research and Applications, 22(5): 501-518.
• 20. Lönnqvist A., 2017. Embedded knowledge management: Towards improved managerial relevance. Knowledge Management Research & Practice, 15(2): 184–191. https://doi.org/10.1057/s41275-017-0053-y
• 21. Ly B., 2020. Mobility sharing economy in Shanghai. Cogent Business & Management, 7(1): 1785108. https://doi.org/10.1080/23311975.2020.1785108
• 22. Mehmann, J., Frehe, V., & Teuteberg, F. (2015). Crowd Logistics − A Literature Review and Maturity Model (Issue November).
• 23. Nijland, H., & van Meerkerk, J. (2017). Mobility and environmental impacts of car sharing in the Netherlands. Environmental Innovation and Societal Transitions, 23, 84–91. https://doi.org/10.1016/j.eist.2017.02.001
• 24. Nikitas A., Kougias I., Alyavina E., Tchouamou E.N., 2017. How can autonomous and connected vehicles, electromobility, BRT, hyperloop, shared use mobility and mobility-as-a-service shape transport futures for the context of smart cities?. Urban Science, 1(14): 1-36. https://doi.org/10.3390/urbansci1040036
• 25. OECD/Eurostat, 2018. Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition, The Measurement of Scientific, Technological and Innovation Activities. OECD Publishing, Paris/Eurostat, Luxembourg. https://doi.org/10.1787/9789264304604-en
• 26. Porter M.E., 1990. The competitive advantage of notions. Harvard Business Review, 73: 91.
• 27. Porter M.E., Stern S., 1999. The New Challenge to America’s Prosperity: Findings from the Innovation Index. Council on Competitiveness. Washington, DC.
• 28. Schumpeter J.A., 1934. The theory of economic development: an inquiry into profits, capital, credit, interest and the business cycle. Harvard Economic Studies, Vol. 46, Harvard College, Cambridge, MA.
• 29. Schumpeter J.A., 1942. Capitalism, Socialism, and Democracy. Harper and Brothers, New York, NY. Turner K.L., Makhija M.V., 2006. The role of organizational controls in managing knowledge. The Academy of Management Review, 31(1): 197-217. http://dx.doi.org/10.1108/JKM-05-2015-0169
• 30. Turner K.L., Makhija M.V., 2006. The role of organizational controls in managing knowledge. The Academy of Management Review, 31(1): 197-217. http://dx.doi.org/10.1108/JKM-05-2015-0169