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Relationship of trustworthiness and relational benefit in electronic catalog markets

Abstract

The purpose of this study is to propose and test an integrative model of relational benefit and trustworthiness development process by conceptualizing that trustworthiness in electronic catalog markets is influenced by relational commitment and relational satisfaction. To capture the full picture of trustworthiness in electronic markets, relational benefit is divided into three main categories: trust benefit, economic benefit and social benefit. From 1762 obtained data, hypotheses are tested using structural equation modeling. The results show that the three categories influence trustworthiness from different angles. Trust benefit affects the trustworthiness with both relational loyalty and relational satisfaction. Economic benefit can affect the trustworthiness directly and indirectly with relational satisfaction and relational commitment. Social benefit does not affect the trustworthiness directly, but through relational satisfaction and relational commitment ultimately. Generally, trust benefit affects the trustworthiness most in electronic markets, economic benefit in the next place and social benefit influences least.

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References

  1. Abdul-Ghani, E., Hyde, K. F., & Marshall, R. (2011). Emic and etic interpretations of engagement with a consumer-to-consumer online auction site. Journal of Business Research, 64(10), 1060–1066.

    Article  Google Scholar 

  2. Achrol, R. S., & Gundlach, G. T. (1999). Legal and social safeguards against opportunism in exchange. Journal of Retailing, 75(1), 107–124.

    Article  Google Scholar 

  3. Anderson, H., Havila, V., & Salmi, A. (2001). Can you buy a business relationship?: on the importance of customer and supplier relationships in acquisitions. Industrial Marketing Management, 30(7), 575–586.

    Article  Google Scholar 

  4. Andreu, L., Aldás, J., Bigné, J. E., & Mattila, A. S. (2010). An analysis of e-business adoption and its impact on relational quality in travel agency-supplier relationships. Tourism Management, 31(6), 777–787.

    Article  Google Scholar 

  5. Banerjee, P., & Ma, L. C. K. (2011). Partial assimilation of technology: prognosis and remedial measures. Journal of Organizational Computing and Electronic Commerce, 21(2), 93–110.

    Article  Google Scholar 

  6. Barnes, D., & Hampson, P. J. (1997). Chapter 26 Connectionist models of arbitrarily applicable relational responding: A possible role for the hippocampal system. In Donahoe, J. W. & Dorsel, V. P. (Eds.), Advances in Psychology, 121, North-Holland, 496–521.

  7. Baron, R. A. (2002). OB and entrepreneurship: the reciprocal benefits of closer conceptual links. Research in Organizational Behavior, 24, 225–269.

    Article  Google Scholar 

  8. Bettencourt, L. A., & Brown, S. W. (1997). Contact employees: relationships among workplace fairness, job satisfaction and prosocial service behaviors. Journal of Retailing, 73(1), 39–61.

    Article  Google Scholar 

  9. Boles, J. S., Johnson, J. T., & Barksdale, H. C. (2000). How salespeople build quality relationships: a replication and extension. Journal of Business Research, 48(1), 75–81.

    Article  Google Scholar 

  10. Bove, L. L., & Johnson, L. W. (2006). Customer loyalty to one service worker: should it be discouraged? International Journal of Research in Marketing, 23(1), 79–91.

    Article  Google Scholar 

  11. Cronin, J., Baker, L., & Hawes, M. (1994). An assessment of the role performance measurement of power-dependency in marketing channels. Journal of Business Research, 30(3), 201–210.

    Article  Google Scholar 

  12. Davis, R., & Buchanan-Oliver, M. (1999). Marketing relationships in a computer-mediated environment. Australasian Marketing Journal (AMJ), 7(1), 89–101.

    Article  Google Scholar 

  13. Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-Commerce sales. Electronic Markets, 18(2), 130–141.

    Article  Google Scholar 

  14. Dwyer, P. D. (2006). People, pigs and parasites in New Guinea: relational contexts and epidemiological possibilities. Parasitology International, 55(Supplement 1), S167–S173.

    Article  Google Scholar 

  15. Eggert, A., & Helm, S. (2003). Exploring the impact of relationship transparency on business relationships: a cross-sectional study among purchasing managers in Germany. Industrial Marketing Management, 32(2), 101–108.

    Article  Google Scholar 

  16. Flight, R. L., Henley, J. R., & Robicheaux, R. A. (2008). A market-level model of relationship regulation. Journal of Business Research, 61(8), 850–858.

    Article  Google Scholar 

  17. Fullerton, G. (2011). Creating advocates: the roles of satisfaction, trust and commitment. Journal of Retailing and Consumer Services, 18(1), 92–100.

    Article  Google Scholar 

  18. Gal-Or, E., & Ghose, A. (2005). The economic incentives for sharing security information. Information Systems Research, 16(2), 186–208.

    Article  Google Scholar 

  19. Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: the customer’s perspective. Journal of the Academy of Marketing Science, 26(2), 101–114.

    Article  Google Scholar 

  20. Halldórsson, Á., & Aastrup, J. (2003). Quality criteria for qualitative inquiries in logistics. European Journal of Operational Research, 144(2), 321–332.

    Article  Google Scholar 

  21. Hartman, C. L., & Price, L. L. (1995). Special issue on interpersonal buyer behavior in marketing. Journal of Business Research, 32(3), 185–188.

    Article  Google Scholar 

  22. Kalaignanam, K., Kushwaha, T., & Varadarajan, P. (2008). Marketing operations efficiency and the internet: an organizing framework. Journal of Business Research, 61(4), 300–308.

    Article  Google Scholar 

  23. Kang, I., Lee, K. C., Lee, S., & Choi, J. (2007). Investigation of online community voluntary behavior using cognitive map. Computers in Human Behavior, 23(1), 111–126.

    Article  Google Scholar 

  24. Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems, 4(2), 544–564.

    Article  Google Scholar 

  25. Kingshott, R. P. J. (2006). The impact of psychological contracts upon trust and commitment within supplier–buyer relationships: a social exchange view. Industrial Marketing Management, 35(6), 724–739.

    Article  Google Scholar 

  26. Kramer, R. M. (1999). Trust and distrust in organizations: emerging perspective, enduring questions. Annual Review of Psychology, 50(2), 569–598.

    Article  Google Scholar 

  27. Lancastre, A., & Lages, L. F. (2006). The relationship between buyer and a B2B e-marketplace: cooperation determinants in an electronic market context. Industrial Marketing Management, 35(6), 774–789.

    Article  Google Scholar 

  28. Lippert, S., & Spagnolo, G. (2011). Networks of relations and Word-of-Mouth Communication. Games and Economic Behavior, 72(1), 202–217.

    Article  Google Scholar 

  29. Liu, D. (2010). Study on improvement of dynamic reputation evaluation model in C2C market. Journal of Hangzhou Dianzi University, 5(2), 11–16.

    Google Scholar 

  30. Malone, T. W., Yates, J., & Benjamin, R. I. (1987). Electronic markets and electronic hierarchies. Communications of the ACM, 30(6), 484–497.

    Article  Google Scholar 

  31. Mitrega, M., & Katrichis, J. M. (2010). Benefiting from dedication and constraint in buyer-seller relationships. Industrial Marketing Management, 39(4), 616–624.

    Article  Google Scholar 

  32. Morgan, J. J. B., & Carrington, D. H. (1944). Graphic instruction in relational reasoning. Journal of Educational Psychology, 35(9), 536–544.

    Article  Google Scholar 

  33. Morgan, R. M., & Hunt, S. (1999). Relationship-based competitive advantage: the role of relationship marketing in marketing strategy. Journal of Business Research, 46(3), 281–290.

    Article  Google Scholar 

  34. Morgan, N. A., Clark, B. H., & Gooner, R. (2002). Marketing productivity, marketing audits, and systems for marketing performance assessment: integrating multiple perspectives. Journal of Business Research, 55(5), 363–375.

    Article  Google Scholar 

  35. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.

    Google Scholar 

  36. Pitt, L. F., & Berthon, P. (2011). Just when you thought it was safe to go back into the Web: marketing meets Web 2.0, social media, and creative consumers. Business Horizons, 54(3), 181–183.

    Article  Google Scholar 

  37. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  38. Rallis, S. F., Rossman, G. B., & Gajda, R. (2007). Trustworthiness in evaluation practice: an emphasis on the relational. Evaluation and Program Planning, 30(4), 404–409.

    Article  Google Scholar 

  39. Rauyruen, P., & Miller, K. E. (2007). Relationship quality as a predictor of B2B customer loyalty. Journal of Business Research, 60(1), 21–31.

    Article  Google Scholar 

  40. Robinson, E. P., Sahin, F., & Gao, L. L. (2005). The impact of E-replenishment strategy on make-to-order supply chain performance. Decision Sciences, 36(1), 33–64.

    Article  Google Scholar 

  41. Schubert, P. (2002). Extended web assessment method (EWAM) - evaluation of electronic commerce applications from the customer’s viewpoint. International Journal of Electronic Commerce, 7(2), 51–80.

    Google Scholar 

  42. Shankar, V., Urban, G. L., & Sultan, F. (2002). Online trust: a stakeholder perspective, concepts, implications, and future directions. Journal of Strategic Information Systems, 11(3–4), 325–344.

    Article  Google Scholar 

  43. Singh, R., & Koshy, A. (2011). Does salesperson’s customer orientation create value in B2B relationships? Empirical evidence from India. Industrial Marketing Management, 40(1), 78–85.

    Article  Google Scholar 

  44. Standing, S., Standing, C., & Love, P. E. D. (2010). A review of research on e-marketplaces 1997–2008. Decision Support Systems, 49(1), 41–51.

    Article  Google Scholar 

  45. Sweeney, J., & Swait, J. (2008). The effects of brand credibility on customer loyalty. Journal of Retailing and Consumer Services, 15(3), 179–193.

    Article  Google Scholar 

  46. Tsai, S. (2011). Fostering international brand loyalty through committed and attached relationships. International Business Review, 20(5), 521–534.

    Article  Google Scholar 

  47. Vázquez-Carrasco, R., & Foxall, G. R. (2006). Influence of personality traits on satisfaction, perception of relational benefits, and loyalty in a personal service context. Journal of Retailing and Consumer Services, 13(3), 205–219.

    Article  Google Scholar 

  48. Williams, M. L., Malos, S. B., & Palmer, D. K. (2002). Benefit system and benefit level satisfaction: an expanded model of antecedents and consequences. Journal of Management, 28(2), 195–215.

    Article  Google Scholar 

  49. Wulf, K. D., & Odekerken-Schröder, G. (2003). Assessing the impact of a retailer’s relationship efforts on consumers’ attitudes and behavior. Journal of Retailing and Consumer Services, 10(2), 95–108.

    Article  Google Scholar 

  50. Xu, L. D., Swanson, G. A., & Samuelson, K. (2009). Analysing relational benefits in e-Business environment from behavioural perspective. Systems Research and Behavioral Science, 26(2), 123–127.

    Article  Google Scholar 

  51. Young, J. A., Gilbert, F. W., & McIntyre, F. S. (1996). An investigation of relationalism across a range of marketing relationships and alliances. Journal of Business Research, 35(2), 139–151.

    Article  Google Scholar 

  52. Zhang, M., Jansen, B., & Chowdhury, A. (2011). Business engagement on Twitter: a path analysis. Electronic Markets, 21(3), 161–175.

    Article  Google Scholar 

  53. Zhou, X., Zhang, Y., & Orlowska, M. E. (1996). Parallel transitive closure computation in relational databases. Information Sciences, 92(1–4), 109–135.

    Article  Google Scholar 

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Acknowledgment

The research of this paper has been financially supported by Humanities and Social Science Fund of Education Department of China by Project No. 09YJC630051. We appreciate the suggestions and patience of the editor and reviewers on our paper, which make the manuscript more integrative and readable.

The research on which this paper reports has been financially supported by Natural Science Foundation of Zhejiang Province with Project Y6110648 and Center for Research of Network Economy & Network Culture of Zhejiang Province.

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Correspondence to Dawei Liu.

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Responsible Editor: Rainer Alt

Appendix

Appendix

Table 2 Result of internal consistent reliability test
Table 3 Result of confirmatory factor analysis
Table 4 The result of differential validity analysis

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Gao, H., Liu, D. Relationship of trustworthiness and relational benefit in electronic catalog markets. Electron Markets 24, 67–75 (2014). https://doi.org/10.1007/s12525-013-0142-6

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Keywords

  • E-commerce
  • Relational benefit
  • Commitment
  • Satisfaction

JEL classification

  • L81