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Kitle Kaynak Lojistiğin Son Adım Teslimatlarda Uygulanması Üzerine Bir Araştırma

Year 2021, , 511 - 527, 30.11.2021
https://doi.org/10.29249/selcuksbmyd.998149

Abstract

Bilgi iletişim teknolojilerinin gelişimiyle birlikte son yıllarda e-ticaret hacmi giderek artmakta ve tedarik zincirinde son adım teslimatlar daha da önemli hale gelmektedir. İşletmeler, müşterilerin her geçen gün artan zamanında ve hızlı teslimat beklentilerini karşılamak için yeni yöntemler geliştirmektedir. Bu yöntemlerden birisi de kitle kaynak lojistiktir. Kitle kaynak lojistik, teslimatların lojistik profesyoneli olmayan kitlenin sahip olduğu lojistik kapasite kullanılarak kitleler tarafından yapılması fikrine dayanmaktadır. Sistemde lojistik arz ve talep, bir bilgi platformu tarafından eşleştirilmektedir. Böylelikle ekstra lojistik kapasiteye ihtiyaç duymadan teslimatlar yapılabilmekte ve önemli ekonomik, çevresel ve toplumsal faydalar sağlanabilmektedir. Bu çalışmada Türkiye’de son adım teslimatlarda kitle kaynak lojistiğin uygulanabilirliği araştırılmıştır. Bu amaçla Türk halkının kitle kaynak lojistiğe katılma istekliliği, istekli kişilerin sosyo demografik özellikleri, demografik değişkenlerin katılma istekliliğine etki dereceleri ve katılımcıların hangi koşullarda sisteme katılmaya istekli olduğu incelenmiştir. Elde edilen sonuçlara göre katılımcıların %38,8’inin kitle kaynak lojistik sistemine katılmaya istekli olduğu görülmüştür. Katılımcı kitlenin çoğunlukla erkeklerden, 18-24 yaş arası gençlerden, bekârlardan, üniversite mezunlarından, kişisel geliri 0-2825 TL ve hane halkı geliri ise 0-7500 TL olanlardan oluştuğu tespit edilmiştir. Lojistik regresyon modeline göre Türk halkının bir kitle kaynak lojistik sistemine katılma istekliliğinde cinsiyet, yaş, eğitim durumu ve hane halkı geliri etkili olmaktadır. Çalışma özellikle kitle kaynak lojistikle desteklenmiş profesyonel dağıtım operasyonlarının planlanmasında kullanılacak değerli bilgiler içermektedir.

References

  • Akeb, H., Moncef, B., & Durand, B. (2018). Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris. Transportation Research Part E: Logistics and Transportation Review, 119, 223-233.
  • Bensinger, G. (2015). Amazon’s Next Delivery Drone: You. The Wall Street Journal, erişim tarihi: 15.08.2021, https://www.wsj.com/articles/amazon-seeks-help-with-deliveries-1434466857
  • Bin, H., Zhao, F., Xie, G., Huang, L., Wang, H., Zhu, R., & Jiang, L. (2020). Crowd-Sourcing a Way to Sustainable Urban Logistics: What Factors Influence Enterprises’ Willingness to Implement Crowd Logistics?. IEEE Access, 8, 225064-225075.
  • Boons, M., Stam, D., & Barkema, H. G. (2015). Feelings of pride and respect as drivers of ongoing member activity on crowdsourcing platforms. Journal of Management Studies, 52(6), 717-741.
  • 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.
  • 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.
  • Ciobotaru, G., & Chankov, S. (2021). Towards a taxonomy of crowdsourced delivery business models. International Journal of Physical Distribution & Logistics Management. 51(5), 460-485.
  • Dai, Q., Jia, H. ve Liu Y. (2020). Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment. International Journal of Distributed Sensor Networks. 16(2). 1-13.
  • Devari, A., Nikolaev, A. G., & He, Q. (2017). Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers. Transportation Research Part E: Logistics and Transportation Review, 105, 105-122.
  • Ermagun, A., Shamshiripour, A. & Stathopoulos, A. (2020).Performance analysis of crowd-shipping in urban and suburban areas. Transportation (47), 1955–1985.
  • Frehe, V., Mehmann, J., & Teuteberg, F. (2017). Understanding and assessing crowd logistics business models–using everyday people for last mile delivery. Journal of Business & Industrial Marketing.32 (1). 75-97
  • Gdowska, K., Viana, A., & Pedroso, J. P. (2018). Stochastic last-mile delivery with crowdshipping. Transportation research procedia, 30, 90-100.
  • Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2009). Characteristics of innovations in last-mile logistics-using best practices, case studies and making the link with green and sustainable logistics. Association for European Transport and contributors, 1-21.
  • Huang, L., Xie, G., Blenkinsopp, J., Huang, R., & Bin, H. (2020). Crowdsourcing for sustainable urban logistics: Exploring the factors influencing crowd Workers’ participative behavior. Sustainability, 12(8), 3091.
  • Kunze, O. (2016). Replicators, ground drones and crowd logistics a vision of urban logistics in the year 2030. Transportation Research Procedia, 19, 286-299.
  • Le, T. V., & Ukkusuri, S. V. (2019). Crowd-shipping services for last mile delivery: Analysis from American survey data. Transportation Research Interdisciplinary Perspectives, (1), 100008.
  • Le, T. V., Stathopoulos, A., Van Woensel, T., & Ukkusuri, S. V. (2019). Supply, demand, operations, and management of crowd-shipping services: A review and empirical evidence. Transportation Research Part C: Emerging Technologies, 103, 83-103.
  • 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.
  • Lim, S. F. W., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management.
  • Martín-Santamaría, R., López-Sánchez, A. D., Delgado-Jalón, M. L., & Colmenar, J. M. (2021). An Efficient Algorithm for Crowd Logistics Optimization. Mathematics, 9(5), 509.
  • Mckinnon, A. & Bilski, B. (2015). Innovations in global logistics. In D. Murray, B. Bilski & M. Verkerk (Eds.). Breakthrough, From Innovation To Impact. (pp. 19–38).The Owls Foundation.
  • Mehmann, J., Frehe, V. & Teuteberg, F., (2015). Crowd Logistics − A Literature Review and Maturity Model. Proceedings of the Hamburg International Conference of Logistics, Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Vol. (20). 117-145
  • Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746.
  • Miller, J., Nie, Y., & Stathopoulos, A. (2017). Crowdsourced urban package delivery: Modeling traveler willingness to work as crowdshippers. Transportation Research Record, 2610(1), 67-75.
  • Mladenow, A., Bauer, C., & Strauss, C. (2016). “Crowd logistics”: the contribution of social crowds in logistics activities. International Journal of Web Information Systems.
  • Olsson, J., Hellström, D., & Pålsson, H. (2019). Framework of last mile logistics research: A systematic review of the literature. Sustainability, 11(24), 7131.
  • Paloheimo, H., Lettenmeier, M., & Waris, H. (2016). Transport reduction by crowdsourced deliveries–a library case in Finland. Journal of Cleaner Production, 132, 240-251.
  • Punel, A., Ermagun, A., & Stathopoulos, A. (2018). Studying determinants of crowd-shipping use. Travel Behaviour and Society, 12, 30-40
  • Rai, H. B., Verlinde, S., & Macharis, C. (2018). Shipping outside the box. Environmental impact and stakeholder analysis of a crowd logistics platform in Belgium. Journal of Cleaner Production, 202, 806-816.
  • Rai, H. B., Verlinde, S., & Macharis, C. (2021). Who is interested in a crowdsourced last mile? A segmentation of attitudinal profiles. Travel Behaviour and Society, 22, 22-31.
  • Rai, H. B., Verlinde, S., Merckx, J., & Macharis, C. (2017). Crowd logistics: an opportunity for more sustainable urban freight transport?. European Transport Research Review, 9(3), 1-13.
  • Rechavi, A., & Toch, E. (2020). Crowd logistics: Understanding auction-based pricing and couriers’ strategies in crowdsourcing package delivery. Journal of Intelligent Transportation Systems, 1-16.
  • Rześny-Cieplińska, J., & Szmelter-Jarosz, A. (2019). Assessment of the crowd logistics solutions—The stakeholders’ analysis approach. Sustainability, 11(19), 5361.
  • Sampaio, A., Savelsbergh, M., Veelenturf, L., & Van Woensel, T. (2019). Crowd-based city logistics. Sustainable Transportation and Smart Logistics içinde (s. 381-400). Elsevier, Hollanda.
  • Statista (2021a). E-commerce worldwide - Statistics & Facts, erişim tarihi: 15.08.2021, https://www.statista.com/topics/871/online-shopping/#dossier-chapter1
  • Statista (2021b). Digital Market Outlook: retail e-commerce sales CAGR in selected markets 2021-2025, erişim tarihi: 15.08.2021, https://www.statista.com/forecasts/220177/b2c-e-commerce-sales-cagr-forecast-for-selected-countries
  • Szmelter-Jarosz, A. ve Rześny-Cieplińska, J. (2020). Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective. Sustainability, 12, 317
  • TUSİAD (2019) E-Ticaretin Gelişimi, Sınırların Aşılması ve Yeni Normlar, erişim tarihi: 15.08.2021, https://www.tubisad.org.tr/tr/images/pdf/dd-tusiad-eticaret-raporu-2019.pdf
  • Voigt, S., & Kuhn, H. (2021). Crowdsourced logistics: The pickup and delivery problem with transshipments and occasional drivers. Networks. Special Issue, 1– 24.
  • Zhang, M., Xia, Y., Li, S., Wu, W., & Wang, S. (2019). Crowd logistics platform’s informative support to logistics performance: Scale development and empirical examination. Sustainability, 11(2), 451.

A Study on the Application of Crowdsourced Logistics in Last Mile Deliveries

Year 2021, , 511 - 527, 30.11.2021
https://doi.org/10.29249/selcuksbmyd.998149

Abstract

With the development of information and communication technologies, the volume of e-commerce has been increasing in recent years and the last mile deliveries in the supply chain are becoming more important. Businesses are developing new methods to meet the increasing on-time and fast delivery expectations of customers. One of these methods is crowdsourced logistics. Crowdsourced logistics is based on the idea that deliveries are made by the crowd, using the logistics capacity of the crowd who is not a logistics professional. In the system, logistics supply and demand are matched by an information platform. Thus, deliveries can be made without the need for extra logistics capacity and significant economic, environmental and social benefits can be achieved. In this study, the applicability of crowdsourced logistics in last mile deliveries in Turkey was investigated. For this purpose, the willingness of the Turkish people to work in crowdsourced logistics, the socio-demographic characteristics of the willing people, the degree of effect of demographic variables on their willingness to work and the conditions under which the participants are willing to work in the system were examined. According to the results obtained, 38.8% of the participants are willing to work in the crowdsourced logistics system. It has been determined that the participant population consists mostly of men, young people between the ages of 18-24, singles, university graduates, with a personal income of 0-2825 TL and a household income of 0-7500 TL. According to the logistic regression model, gender, age, education level and household income are effective in the willingness of Turkish people to work in a crowdsourced logistics system. The study contains valuable information to be used in the planning of professional distribution operations, especially supported by crowdsourced logistics.

References

  • Akeb, H., Moncef, B., & Durand, B. (2018). Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris. Transportation Research Part E: Logistics and Transportation Review, 119, 223-233.
  • Bensinger, G. (2015). Amazon’s Next Delivery Drone: You. The Wall Street Journal, erişim tarihi: 15.08.2021, https://www.wsj.com/articles/amazon-seeks-help-with-deliveries-1434466857
  • Bin, H., Zhao, F., Xie, G., Huang, L., Wang, H., Zhu, R., & Jiang, L. (2020). Crowd-Sourcing a Way to Sustainable Urban Logistics: What Factors Influence Enterprises’ Willingness to Implement Crowd Logistics?. IEEE Access, 8, 225064-225075.
  • Boons, M., Stam, D., & Barkema, H. G. (2015). Feelings of pride and respect as drivers of ongoing member activity on crowdsourcing platforms. Journal of Management Studies, 52(6), 717-741.
  • 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.
  • 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.
  • Ciobotaru, G., & Chankov, S. (2021). Towards a taxonomy of crowdsourced delivery business models. International Journal of Physical Distribution & Logistics Management. 51(5), 460-485.
  • Dai, Q., Jia, H. ve Liu Y. (2020). Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment. International Journal of Distributed Sensor Networks. 16(2). 1-13.
  • Devari, A., Nikolaev, A. G., & He, Q. (2017). Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers. Transportation Research Part E: Logistics and Transportation Review, 105, 105-122.
  • Ermagun, A., Shamshiripour, A. & Stathopoulos, A. (2020).Performance analysis of crowd-shipping in urban and suburban areas. Transportation (47), 1955–1985.
  • Frehe, V., Mehmann, J., & Teuteberg, F. (2017). Understanding and assessing crowd logistics business models–using everyday people for last mile delivery. Journal of Business & Industrial Marketing.32 (1). 75-97
  • Gdowska, K., Viana, A., & Pedroso, J. P. (2018). Stochastic last-mile delivery with crowdshipping. Transportation research procedia, 30, 90-100.
  • Gevaers, R., Van de Voorde, E., & Vanelslander, T. (2009). Characteristics of innovations in last-mile logistics-using best practices, case studies and making the link with green and sustainable logistics. Association for European Transport and contributors, 1-21.
  • Huang, L., Xie, G., Blenkinsopp, J., Huang, R., & Bin, H. (2020). Crowdsourcing for sustainable urban logistics: Exploring the factors influencing crowd Workers’ participative behavior. Sustainability, 12(8), 3091.
  • Kunze, O. (2016). Replicators, ground drones and crowd logistics a vision of urban logistics in the year 2030. Transportation Research Procedia, 19, 286-299.
  • Le, T. V., & Ukkusuri, S. V. (2019). Crowd-shipping services for last mile delivery: Analysis from American survey data. Transportation Research Interdisciplinary Perspectives, (1), 100008.
  • Le, T. V., Stathopoulos, A., Van Woensel, T., & Ukkusuri, S. V. (2019). Supply, demand, operations, and management of crowd-shipping services: A review and empirical evidence. Transportation Research Part C: Emerging Technologies, 103, 83-103.
  • 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.
  • Lim, S. F. W., Jin, X., & Srai, J. S. (2018). Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models. International Journal of Physical Distribution & Logistics Management.
  • Martín-Santamaría, R., López-Sánchez, A. D., Delgado-Jalón, M. L., & Colmenar, J. M. (2021). An Efficient Algorithm for Crowd Logistics Optimization. Mathematics, 9(5), 509.
  • Mckinnon, A. & Bilski, B. (2015). Innovations in global logistics. In D. Murray, B. Bilski & M. Verkerk (Eds.). Breakthrough, From Innovation To Impact. (pp. 19–38).The Owls Foundation.
  • Mehmann, J., Frehe, V. & Teuteberg, F., (2015). Crowd Logistics − A Literature Review and Maturity Model. Proceedings of the Hamburg International Conference of Logistics, Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Vol. (20). 117-145
  • Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., & Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746.
  • Miller, J., Nie, Y., & Stathopoulos, A. (2017). Crowdsourced urban package delivery: Modeling traveler willingness to work as crowdshippers. Transportation Research Record, 2610(1), 67-75.
  • Mladenow, A., Bauer, C., & Strauss, C. (2016). “Crowd logistics”: the contribution of social crowds in logistics activities. International Journal of Web Information Systems.
  • Olsson, J., Hellström, D., & Pålsson, H. (2019). Framework of last mile logistics research: A systematic review of the literature. Sustainability, 11(24), 7131.
  • Paloheimo, H., Lettenmeier, M., & Waris, H. (2016). Transport reduction by crowdsourced deliveries–a library case in Finland. Journal of Cleaner Production, 132, 240-251.
  • Punel, A., Ermagun, A., & Stathopoulos, A. (2018). Studying determinants of crowd-shipping use. Travel Behaviour and Society, 12, 30-40
  • Rai, H. B., Verlinde, S., & Macharis, C. (2018). Shipping outside the box. Environmental impact and stakeholder analysis of a crowd logistics platform in Belgium. Journal of Cleaner Production, 202, 806-816.
  • Rai, H. B., Verlinde, S., & Macharis, C. (2021). Who is interested in a crowdsourced last mile? A segmentation of attitudinal profiles. Travel Behaviour and Society, 22, 22-31.
  • Rai, H. B., Verlinde, S., Merckx, J., & Macharis, C. (2017). Crowd logistics: an opportunity for more sustainable urban freight transport?. European Transport Research Review, 9(3), 1-13.
  • Rechavi, A., & Toch, E. (2020). Crowd logistics: Understanding auction-based pricing and couriers’ strategies in crowdsourcing package delivery. Journal of Intelligent Transportation Systems, 1-16.
  • Rześny-Cieplińska, J., & Szmelter-Jarosz, A. (2019). Assessment of the crowd logistics solutions—The stakeholders’ analysis approach. Sustainability, 11(19), 5361.
  • Sampaio, A., Savelsbergh, M., Veelenturf, L., & Van Woensel, T. (2019). Crowd-based city logistics. Sustainable Transportation and Smart Logistics içinde (s. 381-400). Elsevier, Hollanda.
  • Statista (2021a). E-commerce worldwide - Statistics & Facts, erişim tarihi: 15.08.2021, https://www.statista.com/topics/871/online-shopping/#dossier-chapter1
  • Statista (2021b). Digital Market Outlook: retail e-commerce sales CAGR in selected markets 2021-2025, erişim tarihi: 15.08.2021, https://www.statista.com/forecasts/220177/b2c-e-commerce-sales-cagr-forecast-for-selected-countries
  • Szmelter-Jarosz, A. ve Rześny-Cieplińska, J. (2020). Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective. Sustainability, 12, 317
  • TUSİAD (2019) E-Ticaretin Gelişimi, Sınırların Aşılması ve Yeni Normlar, erişim tarihi: 15.08.2021, https://www.tubisad.org.tr/tr/images/pdf/dd-tusiad-eticaret-raporu-2019.pdf
  • Voigt, S., & Kuhn, H. (2021). Crowdsourced logistics: The pickup and delivery problem with transshipments and occasional drivers. Networks. Special Issue, 1– 24.
  • Zhang, M., Xia, Y., Li, S., Wu, W., & Wang, S. (2019). Crowd logistics platform’s informative support to logistics performance: Scale development and empirical examination. Sustainability, 11(2), 451.
There are 40 citations in total.

Details

Primary Language Turkish
Journal Section Original Research Articles
Authors

Abdullah Oktay Dündar 0000-0002-8508-165X

Publication Date November 30, 2021
Submission Date September 20, 2021
Published in Issue Year 2021

Cite

APA Dündar, A. O. (2021). Kitle Kaynak Lojistiğin Son Adım Teslimatlarda Uygulanması Üzerine Bir Araştırma. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 24(2), 511-527. https://doi.org/10.29249/selcuksbmyd.998149

Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.