Journals / Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi / 2022 / Cilt: 5 Sayı: 1

Adoption of crowdsourced delivery: An online focus group interview

Kitle Kaynaklı Teslimatın Benimsenmesi: Bir Çevrimiçi Odak Grup Görüşmesi

Pages
70–85
Publication Date
2022-04-28
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This paper highlights what factors influence students' acceptance of crowdsourced delivery in the introduction phase from the perspective of a group of university students in an emerging country.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This research aims to investigate university students' perceptions of crowdsourced delivery and identify factors that influence crowdsourced delivery platform acceptance as a consumer and as a driver.
📊
Key Findings & Data:Online focus group discussions were used to collect data with 35 university students.
💡
Conclusion & Impact:This paper highlights what factors influence students' acceptance of crowdsourced delivery in the introduction phase from the perspective of a group of university students in an emerging country.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Kitle kaynaklı teslimat · gelişmekte olan ülke · teknoloji kabulü

Abstract

This research aims to investigate university students' perceptions of crowdsourced delivery and identify factors that influence crowdsourced delivery platform acceptance as a consumer and as a driver. Research design is a qualitative exploratory case study that was performed on university students' perceptions of crowdsourced delivery in Turkey. Online focus group discussions were used to collect data with 35 university students. Data included six online focus groups and were analyzed using thematic analysis. To increase credibility and trustworthiness, the researcher triangulation was applied. The findings show that as a consumer; performance expectancy, price sensitivity, social influence, and perceived risk and as a driver; compensation, working environment, and perceived risk affect acceptance of crowdsourced delivery. The findings are helpful for crowdsourced delivery platforms to increase the acceptance rate in the beginning stage of crowdsourced delivery and provide suggestive knowledge for other emerging countries. This paper highlights what factors influence students' acceptance of crowdsourced delivery in the introduction phase from the perspective of a group of university students in an emerging country.

Özet

Bu araştırma, üniversite öğrencilerinin kitle kaynaklı teslimat algılarını araştırmayı ve bir tüketici ve bir sürücü olarak kitle kaynaklı teslimat platformunun kabulünü etkileyen faktörleri belirlemeyi amaçlamaktadır. Araştırma tasarımı, Türkiye’de üniversite öğrencilerinin kitle kaynaklı teslimata ilişkin algıları üzerine gerçekleştirilen nitel bir keşifsel durum çalışmasıdır. Veri toplamak için 35 üniversite öğrencisinin dahil olduğu odak grup görüşmeleri gerçekleştirilmiştir. Veriler altı çevrimiçi odak grup görüşmesini içermiş ve tematik analiz yöntemi kullanılarak analizleri gerçekleştirilmiştir. Verilerin inandırıcılık ve güvenirliğini arttırmak için araştırmacı çeşitlemesi kullanılmıştır. Bulgulara göre, tüketici olarak; performans beklentisi, fiyat duyarlılığı, sosyal etki ve algılanan risk ve bir sürücü olarak; gelir, çalışma ortamı ve algılanan risk, kitle kaynaklı teslimatın kabulünü etkilemektedir. Bulgular, kitle kaynaklı teslimat platformlarının, kitle kaynaklı teslimatın başlangıç aşamasında kabul oranını artırması ve diğer gelişmekte olan ülkeler için anlamlı bilgiler sağlaması açısından yararlıdır. Bu makale, gelişmekte olan bir ülkedeki bir grup üniversite öğrencisinin bakış açısıyla, giriş aşamasında öğrencilerin kitle kaynaklı teslimatı kabul etmesini etkileyen faktörlerin önemini ortaya koymaktadır.

🔖

Cite This Article

KARLI, H., SAVAŞ, S., TANYAŞ, M. (2022). Adoption of crowdsourced delivery: An online focus group interview. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, Cilt: 5 Sayı: 1, 70–85. https://ajindex.com/articles/899770

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Aitken, R., Watkins, L., & Kemp, S. (2019), "Envisioning a sustainable consumption future," Young Consumers, Vol. 20 No. 4, pp. 299-313. https://doi.org/10.1108/YC-12-2018-0905
  2. Allen J., Browne M., & Holguín-veras J. (2015) Sustainability strategies for city logistics. In: Mckinnon a, Browne M, Whiteing a, Piecyk M (eds) green logistics (3rd edition). Kogan page, pp. 293-319
  3. Archetti, C., Savelsbergh, M., & Speranza, M.G., (2015). "The vehicle routing problem with occasional drivers", European Journal of Operational Research, 254, pp. 472–480. http://dx.doi.org/10.1016/j. ejor.2016.03.049. Berg, N., & Knights, M. (2021), Amazon: How the world's most relentless retailer will continue to revolutionize commerce, Kogan Page Publishers,
  4. London, England. Buldeo Rai, H., 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, pp. 806-816. https://doi.org/10.1016/j.jclepro.2018.08.210
  5. Buldeo Rai, H., Verlinde, S., & Macharis, C. (2021a). Who is interested in a crowdsourced last mile? A segmentation of attitudinal profiles. Travel Behaviour and Society, 22, pp. 22-31 https://doi.org/10.1016/j.tbs.2020.08.004
  6. Buldeo Rai, H., Verlinde, S., & Macharis, C. (2021b). Unlocking the failed delivery problem? Opportunities and challenges for smart locks from a consumer perspective. Research in Transportation Economics, 87, 100753. https://doi.org/10.1016/j.retrec.2019.100753
  7. 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), pp. 238-252 https://doi.org/10.1111/jbl.12164
  8. Chawla, D., & Sondhi, N. (2016), Research methodology: Concepts and cases (2nd ed.), Vikas Publishing House, New Delhi, India. Chen, P., & Chankov, S. M. (2017), "Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach", paper presented at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 10-13 December, 2017, Singapore, pp. 1271-1275. DOI: 10.1109/IEEM.2017.8290097 Chen, Y., Yu, J., Yang, S. & Wei, J. (2018), "Consumer's intention to use self-service parcel delivery service in online retailing: An empirical study", Internet Research, Vol. 28 No. 2, pp. 500-519. https://doi.org/10.1108/IntR-11-2016-0334
  9. Cramer-Flood, E., (2020), "Global e-commerce 2020", available at https://www.emarketer.co