Research on Consumer Risk Perception and Trust Transmission between Channels

AUTHORS

Eugenio Gibbert,Department of Economics, Università degli Studi di Genova, Genoa, Italy
Roberto Cavalletti,Department of Economics, Università degli Studi di Genova, Genoa, Italy

ABSTRACT

Based on the theoretical foundation of empirical research on online consumer trust, this paper establishes a mathematical model of trust transmission between channels. Consider that a manufacturer sells products offline through an independent retailer, while the manufacturer expands offline products to direct online channels, and establishes trust transmission between offline and online channels to achieve channel synergy. In channel pricing, the full price theory of the channel is used to establish a model to study the issue of trust transmission between channels. Based on the different perceived risks of online and offline consumers, the issue of trust transmission and pricing between channels is studied. Taking the online consumer trust of channel expansion as the object, constructing the consumer utility function under the influence of perceived risk and the degree of online trust, and establishing the Stackelberg game model. The relationship between channel pricing and online trust level and the main determinants of trust transmission between channels are discussed. The research results show that the increase in online trust leads to a decrease in offline pricing, a decrease in offline demand, and an increase in online demand, and the profits of manufacturers increase while the profits of retailers decrease. Also, manufacturers' efforts to transmit trust in online channels decrease with the increase in offline product performance fluctuations, decrease with the increase in trust transmission cost coefficient, and increase with the increase in offline and online cost gaps.

 

KEYWORDS

Consumer behavior, Risk perception, Trust level, Channel

REFERENCES

[1] K. Kim and J. Y. Kim, “Third-party privacy certification as an online advertising strategy: An investigation of the factors affecting the relationship between third-party certification and initial trust,” Journal of Interactive Marketing, vol.25, no.3, pp.145-158, (2011)
[2] D. Grewal, “Strategic online and offline retail pricing: A review and research agenda,” Journal of Interactive Marketing, vol.24, no.2, pp.138-145, (2010)
[3] D. Kahneman, P. Slovic, and A. Tversky, “Judgment under uncertainty: Heuristics and biases,” Cambridge: Cambridge University Press
[4] G. Mortimer, S. Muhammad, M. Grimmer, and L. Grimmer, “Explaining the impact of consumer religiosity, perceived risk and moral potency on purchase intentions,” Journal of Retailing and Consumer Services, vol.55, (2020)
[5] C. Ranganathan, V. Goode, and A. Ramaprasad, “Managing the transition to bricks and clicks,” Communications of the ACM, vol.46, no.12, pp.308-316, (2003)
[6] J. W. Taylor, “The role of risk in consumer behavior,” Journal of Marketing, vol.38, no.2, pp.54-60
[7] S. L. Jarvenpaa, N. Tractinsky, and M. Vitale, “Consumer trust in an internet store,” Information Technology and Management, vol.1, no.1/2, pp.45-71, (2000)
[8] P. Paclou, “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model,” International Journal of Electronic Commerce, vol.17, no.3, pp.101-134, (2003)
[9] G. L. Urban, A. Cinda, and L. Antonio, “Online trust: State of the art, new frontiers, and research potential,” Journal of Interactive Marketing, vol.23, no.2, pp.179-190, (2009)
[10] A. Beldad, M. D. Jong, and M. Steehouder, “How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust,” Computers in Human Behavior, vol.26, no.5, pp.857-869, (2010)
[11] D. H. Mcknight and N. L. Chervany, “What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology,” International Journal of Electron Commerce, vol.6, no.2, pp.35-53, (2002)
[12] K. J. Stewart, “Trust transfer on the world wide web,” Organization Science, vol.14, no.1, pp.5-17, (2003)
[13] H. H. Kuan and G. W. Bock, “Trust transference in brick and click retailers: An investigation of the before- online-visit phase,” Information and Management, vol.44, no.2, pp.175-187, (2007)
[14] K. C. Lee, I. Kang, and D. H. Mcknight, “Transfer from offline trust to key online perceptions: an empirical study,” IEEE Transactions on Engineering Management, vol.54, no.4, pp.729-740, (2007)
[15] G. W. Bock, J. Lee, and H. H. Kuan, “The progression of online trust in the multi-channel retailer context and the role of product uncertainty, Decision Support Systems, vol.53, no.1, pp.97-107, (2012)
[16] W. J. Van Schijndel and J. Dinwoodie, “Congestion and multimodal transport: A survey of cargo transport operator in the Netherland,” Transport Policy, vol.7, no.4, pp.231-241, (2000)
[17] F. Zhang, D. M. Johnson, and J. Wang, “Integrating multimodal transport into forest-delivered biofuel supply chain design,” Renewable Energy, vol.93, pp.58-67, (2016)
[18] Y. J. Seo, F. Chen, and X. Y. Roh, “Multimodal transportation: The case of laptop from Chongqing in China to Rotterdam in Europe,” The Asian Journal of shipping and logistics, vol.33, no.3, pp.155-165, (2017)
[19] T. Zeng, D. Hu, and G. Huang, “The transportation mode distribution of multimodal transportation in automotive logistics,” Procedia-Social and Behavioral Sciences, vol.96, pp.405-417, (2013)
[20] P. D. Larson, “The economic transportation quantity,” Transportation Journal, vol.28, no.2, pp.43-48
[21] C. Dong, S. Transchel, and K. Hoberg, “An inventory control model for modal split transport: A tailored base-surge approach,” European Journal of Operational Research, vol.264, no.1, pp.89-105, (2018)
[22] U. Venkatadri, K. S. Krishna, and M. A. Ulku, “On physical internet logistics: Modeling the impact of consolidation on transportation and inventory costs,” IEEE Transactions on Automation Science and Engineering, vol.13, no.4, pp.1517-1527, (2016)

CITATION

  • APA:
    Gibbert,E.& Cavalletti,R.(2021). Research on Consumer Risk Perception and Trust Transmission between Channels. International Journal of Smart Business and Technology, 9(1), 29-38. 10.21742/IJSBT.2021.9.1.03
  • Harvard:
    Gibbert,E., Cavalletti,R.(2021). "Research on Consumer Risk Perception and Trust Transmission between Channels". International Journal of Smart Business and Technology, 9(1), pp.29-38. doi:10.21742/IJSBT.2021.9.1.03
  • IEEE:
    [1] E.Gibbert, R.Cavalletti, "Research on Consumer Risk Perception and Trust Transmission between Channels". International Journal of Smart Business and Technology, vol.9, no.1, pp.29-38, Mar. 2021
  • MLA:
    Gibbert Eugenio and Cavalletti Roberto. "Research on Consumer Risk Perception and Trust Transmission between Channels". International Journal of Smart Business and Technology, vol.9, no.1, Mar. 2021, pp.29-38, doi:10.21742/IJSBT.2021.9.1.03

ISSUE INFO

  • Volume 9, No. 1, 2021
  • ISSN(p):2288-8969
  • ISSN(e):2207-516X
  • Published:Mar. 2021

DOWNLOAD