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Scale Development and Validation of Crowd Logistics Risk Control in Chinese Context

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IEIS2019

Abstract

This paper clarified the concept of crowd logistics risk control and explored its structure in Chinese context. Then, this study designed its primary scale by in-depth interviews and conducted a survey on a sample of crowd drivers who engaged in crowd logistics. Based on the results from Exploratory Factor Analysis and Confirmatory Factor Analysis, this paper defined crowd logistics risk control as a three-dimension construct including “monitor”, “motivation” and “online payment”. Further, this paper validated the scale in Chinese context by further analysis of reliability and construct validity. An effective instrument for future empirical research in Chinese context is provided by the scale we developed in this study.

Project financing: Major Program of The National Social Science Fund of China [No. 15ZDA022]; Major Program of The Humanity and Social Science Fund of Beijing Jiaotong University [No. 2015jbzd01]; Fundamental Research Funds for the Central Universities [No. 2018YJS057]; National Science and Technology Support Program [No. 2014BAD13B04].

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References

  1. Arslan, A., Agatz, N., Kroon, L., & Zuidwijk, R. (2019). Crowdsourced delivery- A dynamic pickup and delivery problem with ad-hoc drivers. Transportation Science, 53(1), 222–235.

    Article  Google Scholar 

  2. Castillo, V. E., Bell, J. E., Rose, W. J., & Rodrigues, A. M. (2017). Crowdsourcing last mile delivery: Strategic implications and future research directions. Journal of Business Logistic, 29(1), 1–19.

    Google Scholar 

  3. Buldeo Rai, H., 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.

    Article  Google Scholar 

  4. Khan, O., & Burnes, B. (2007). Risk and supply chain management: Creating a research agenda. The International Journal of Logistics Management, 18(2), 197–216.

    Article  Google Scholar 

  5. Colicchia, C., & Strozzi, F. (2012). Supply chain risk management: A new methodology for a systematic literature review. Supply Chain Management: An International Journal, 17(4), 403–418.

    Article  Google Scholar 

  6. Ghadge, A., Dani, S., & Kalawsky, R. (2012). Supply chain risk management: Present and future scope. The International Journal of Logistics Management, 23(3), 313–339.

    Article  Google Scholar 

  7. Erickson, L. B., & Trauth, E. M. (2013). Getting work done: Evaluating the potential of crowdsourcing as a model for business process outsourcing service delivery. In Annual Computers and People Research Conference (pp. 135–140). New York: ACM Press.

    Google Scholar 

  8. Mladenow, A., Bauer, C., & Strauss, C. (2016). ‘Crowd logistics’: The contribution of social crowds in logistics activities. International Journal of Web Information Systems, 12(3), 379–396.

    Article  Google Scholar 

  9. Rougès, J. F., & Montreuil, B. (2014). Crowdsourcing delivery: New interconnected business models to reinvent delivery. In 1st International Physical Internet Conference (pp. 1–19), Québec, Canada.

    Google Scholar 

  10. 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.

    Article  Google Scholar 

  11. Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.

    Article  Google Scholar 

  12. Black, S. A., & Porter, L. J. (1996). Identification of the critical factors of TQM. Decision Sciences, 27(1), 1–21.

    Article  Google Scholar 

  13. Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.

    Article  Google Scholar 

  14. 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), 451–469.

    Article  Google Scholar 

  15. Huo, B., Fu, D., Zhao, X., & Zhu, J. (2016). Curbing opportunism in logistics outsourcing relationships: The role of relational norms and contract. International Journal of Production Economics, 182, 293–303.

    Article  Google Scholar 

  16. Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192.

    Article  Google Scholar 

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Correspondence to Wenbing Wu .

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Li, S., Xiang, Z., Wu, W., Zhang, M., Zhang, Y., Wu, W. (2020). Scale Development and Validation of Crowd Logistics Risk Control in Chinese Context. In: Li, M., Dresner, M., Zhang, R., Hua, G., Shang, X. (eds) IEIS2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-5660-9_22

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