Abstract
There is widespread interest in the question of how to ensure consumer trust in the face of the social uncertainties characteristic of e-commerce. Enrichment or sophistication of a site’s internal components alone does not necessarily lead to greater customer trust, indicating a need for e-commerce stores to offer consumers further external information. Based on the salient value similarity model of trust, we presented subjects with external information about salient consumer values and attributes of previous buyers and manipulated these variables to investigate their effects on trust-building processes. We found that salient consumer value similarity indirectly increased intention to buy by building trust in a site, while attribute similarity did not. This paper discusses the practical implications of these findings and the direction of future research.
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Notes
- 1.
To be exact, the trustworthiness scale indirectly considers the effects of external information, such as the presence or absence of links to external sites. However, because these links are presented on the website, it is appropriate to count them as internal components.
- 2.
This study was supported by a Grant-in-Aid for Scientific Research (PI: Hitoshi Okada, # 20402034).
- 3.
The mock e-commerce site shown to subjects is available from the authors upon request.
- 4.
A manipulation check was conducted after the dependent variables were measured. Respondents were asked, “Of the previous buyers who previously bought crab from this store, do you believe that there are many people who are similar to you, or do you believe that there are more people who are dissimilar to you, based on the criteria below?” We eliminated the subjects who responded “dissimilar” to at least one of the two salient values although they were assigned to the similar salient consumer value condition, as well as subjects who responded “similar” to at least one of the two salient values although they were assigned to the dissimilar salient consumer value condition. Sixty-six subjects were eliminated by this manipulation check. This may be because of an interval of up to 2 weeks between the presurvey and experimental survey and possible differences in evaluation criteria used for food products in general in the presurvey and for crab only in the experimental survey.
References
Cheskin Research (2000) Trust in the wired Americas. www.debmcdonald.com/trust.pdf. Accessed 22 Sept 2010
Cheskin Research and Studio Archetype/Sapient (1999) eCommerce trust study. www.cheskin.com/cms/files/i/articles//17__report-eComm%20Trust1999.pdf. Accessed 22 Sept 2010
Cook J, Wall T (1980) New work attitude measures of trust, organizational commitment, and personal need nonfulfillment. J Occup Psychol 53(2):39–52
Corbitt BJ, Thanasankit T, Yi H (2003) Trust and e-commerce: a study of consumer perceptions. Electron Commer Res Appl 2(3):203–215
Corritore CL, Kracher B, Wiedenbeck S (2003) On-line trust: concepts, evolving themes, a model. Int J Hum-Comput Stud 58(6):737–758
Cvetkovich G, Nakayachi K (2007) Trust in a high-concern risk controversy: a comparison of three concepts. J Risk Res 10(2):223–237
Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Unpublished doctoral thesis, MIT Sloan School of Management, Cambridge, MA
Davis FD (1989) Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart 13(3):319–340
Doney PM, Cannon JP (1997) An examination of the nature of trust in buyer–seller relationships. J Mark 61(2):35–51
Driscoll JW (1978) Trust and participation in organizational decision making as predictors of satisfaction. Acad Manage J 21:44–56
Earle TE (2004) Thinking aloud about trust: a protocol analysis of trust in risk management. Risk Anal 24(1):169–183
Earle TE, Cvetkovich G (1995) Social trust: toward a cosmopolitan society. Praeger, Westport
Earle TE, Cvetkovich G (1997) Culture, cosmopolitanism, and risk management. Risk Anal 17(1):55–65
Fogg BJ (2002) Persuasive technology: using computers to change what we think and do. Morgan Kaufmann, San Francisco
Fogg BJ, Tseng H (1999) The elements of computer credibility. In: Proceedings of the 1999 SIGCHI conference on human factors in computing systems, Pittsburgh, pp 80–87
Fogg BJ, Marshall J, Laraki O et al. (2001) What makes web sites credible? A report on a large quantitative study. In: Proceedings of the SIGCHI conference on human factors in computing systems, Seattle, pp 61–68
Fogg BJ, Soohoo C, Danielson DR, Marable L, Stanford J, Tauber ER (2003) How do users evaluate the credibility of websites? A study with over 2,500 subjects. In: Proceedings of the 2003 conference on designing for user experiences, San Francisco, pp 1–15
Gambetta D (1988) Can we trust trust? In: Gambetta D (ed) Trust: making and breaking cooperative relations. Basil Blackwell, New York, pp 213–237
Gefen D (2000) E-commerce: the role of familiarity and trust. Omega 28(6):725–737
Gefen D, Straub DW (2004) Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. Int J Manage Sci 32(6):407–424
Gefen D, Karahanna E, Straub DW (2003a) Inexperience and experience with online stores: the importance of TAM and trust. IEEE Trans Eng Manage 50(3):307–321
Gefen D, Karahanna E, Straub DW (2003b) Trust and TAM in online shopping: an integrated model. MIS Quart 27(1):51–90
Grabner-Kräuter S, Kaluscha EA (2003) Empirical research in on-line trust: a review and critical assessment. Int J Hum-Comput Stud 58:783–812
Hoffman DL, Novak TP, Peralta M (1999) Building consumer trust online. Commun ACM 42(4):80–85
Hovland CI, Weiss W (1951) The influence of source credibility on communication effectiveness. Public Opin Quart 15:635–650
Hovland CI, Janis IL, Kelly HH (1953) Communication and persuasion. Yale University Press, New Haven
Jarvenpaa SL, Tractinsky N, Saarinen L, Vitale M (1999) Consumer trust in an internet store: a cross-cultural validation. J Comput-Mediat Commun 5(2). http://jcmc.indiana.edu/vol5/issue2/jarvenpaa.html. Accessed 22 Sept 2010
Jarvenpaa SL, Tractinsky N, Vitale M (2000) Consumer trust in an internet store. Inf Technol Manage 1(1–2):45–71
Kee HW, Knox RE (1970) Conceptual and methodological considerations in the study of trust. J Conflict Resol 14:357–366
Kollock P (1999) The production of trust in online markets. Adv Gr Process 16:99–123
Koufaris M, Hampton-Sosa W (2004) The development of initial trust in an online company by new customers. Inf Manage 41(3):377–397
Kover SE, Burke KG, Kover BR (2000a) Consumer response to the CPA WebTrust assurance. J Inf Syst 14(1):17–35
Kover SE, Burke KG, Kover BR (2000b) Selling WebTrust: an exploratory examination of factors influencing consumers' decisions to use online distribution channels. Rev Accoun Inf Syst 4(2):39–52
Lim KH, Sia CL, Lee MKO, Benbasat I (2001) How do I trust you online, and if so, will I buy? An empirical study on designing web contents to develop online trust. Working paper, University of British Columbia
Lim KH, Sia CL, Lee MKO, Benbasat I (2006) Do I trust you online, and if so, will I buy? An empirical study of two trust-building strategies. J Manage Inf Syst 23:233–266
Lowry PB, Vance A, Moody G, Beckman B, Read A (2008) Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. J Manage 24(4):199–224
Mayer RC, Davis JH, Schoorman FD (1995) An integrative model of organizational trust. Acad Manage Rev 20:709–734
McGinnies E, Ward CD (1980) Better liked than right: trustworthiness and expertise as factors in credibility. Pers Soc Psychol Bull 6(3):467–472
McKnight DH (2001) What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology. Int J Electron Commer 6(2):35–59
McKnight DH, Chervany NL (2001) What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology. Int J Electron Commer 6(2):35–59
McKnight DH, Chervany NL (2002) Conceptualizing trust: a typology and e-commerce customer relationships model. In: Proceedings of the 34th annual Hawaii international conference on system science (HICSS-34), Maui. www.hicss.hawaii.edu/HICSS_34/PDFs/INCRM04.pdf. Accessed 22 Sept 2010
McKnight DH, Cummings LL, Chervany NL (1998) Initial trust formation in new organizational relationships. Acad Manage Rev 23(3):473–490
McKnight DH, Choudhury V, Kacmar C (2002) Developing and validating trust measures for e-commerce: an integrative typology. Inf Syst Res 13(3):334–359
Pavlou PA (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int J Electron Commer 7(3):69–103
Pavlou PA, Gefen D (2004) Building effective online marketplaces with institution-based trust. Inf Syst Res 15(1):37–59
Poortinga W, Pidgeon NF (2006) Prior attitudes, salient value similarity and dimensionality: towards an integrative model of trust in risk regulation. J Appl Soc Psychol 36:1673–1699
Reichheld FF, Schefter P (2000) “E-loyalty”: your secret weapon on the web. Harv Bus Rev 78(4):105–113
Ross L, Greene D, House P (1977) The false consensus effect: an egocentric bias in social perception and attribution process. J Exp Soc Psychol 13(3):297–301
Salam AF, Iyer L, Palvia P, Singh R (2005) Trust in e-commerce. Commun ACM 48(2):72–77
Scott CL III (1980) Interpersonal trust: a comparison of attitudinal and situational factors. Hum Relation 33:805–812
Shapiro SP (1987) The social control of impersonal trust. Am J Sociol 93(3):623–658
Siegrist M, Cvetkovich GT (2000) Perception of hazards: the role of social trust and knowledge. Risk Anal 20:713–720
Siegrist M, Cvetkovich GT, Gutscher H (2001) Shared values, social trust, and the perception of geographic cancer clusters. Risk Anal 21:1047–1053
Siegrist M, Earle TC, Gutscher H (2003) Test of a trust and confidence model in the applied context of electromagnetic field (EMF) risks. Risk Anal 23:705–716
Siegrist M, Gutscher H, Earle TC (2005) Perception of risk: the influence of general trust, and general confidence. J Risk Res 8(2):145–156
Stewart KJ (2003) Trust transfer on the world wide web. Organ Sci 14(1):5–17
Wang H, Lee MKO, Wang C (1998) Consumer privacy concerns about internet marketing. Commun ACM 41(3):63–70
Westland JC (2010) Lower bounds on sample size in structural equation modeling. Electron Commer Res Appl 9(6):476–487
Williamson OE (1993) Calculativeness, trust, and economic organization. J Law Econ 34:453–502
Zucker LG (1986) Production of trust: institutional sources of economic structure, 1840–1920. Res Organ Behav 8:53–111
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Appendix
Appendix
2.1.1 Scale Items
2.1.1.1 Perceived Store Trustworthiness
(1. Agree, 2. Somewhat agree, 3. Somewhat disagree, 4. Disagree)
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1.
This store is trustworthy.
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2.
This store wants to be known as one that keeps its promises and commitments.
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3.
I trust this store to keep my best interests in mind.
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4.
I find it necessary to be cautious with this store.
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5.
The retailer of this store has more to lose than to gain by not delivering on its promises.
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6.
This store’s behavior meets my expectations.
2.1.1.2 Perceived Benevolence
(1. Agree, 2. Somewhat agree, 3. Somewhat disagree, 4. Disagree)
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1.
I believe that this store would act in my best interest.
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2.
If I required help, this store would do its best to help me.
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3.
This store is interested in my well-being, not just its own.
2.1.1.3 Perceived Integrity
(1. Agree, 2. Somewhat agree, 3. Somewhat disagree, 4. Disagree)
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1.
This store is truthful in its dealings with me.
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2.
I would characterize this store as honest.
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3.
This store would keep its commitments.
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4.
This store is sincere and genuine.
2.1.1.4 Perceived Competence
(1. Agree, 2. Somewhat agree, 3. Somewhat disagree, 4. Disagree)
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1.
This store is competent and effective in selling crabs.
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2.
This store performs its role of selling crabs very well.
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3.
Overall, this store is a capable and proficient Internet crab seller.
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4.
In general, this store is very knowledgeable about crabs.
2.1.1.5 Intention to Buy
(1. Agree, 2. Somewhat agree, 3. Somewhat disagree, 4. Disagree)
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1.
Given the chance, I would consider buying crabs from this store in the future. [Item 1]
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2.
I probably would not buy from this store. [Item 2]
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3.
It is likely I would consider purchasing from this store. [Item 3]
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4.
It is unlikely I would return to this store before making a purchase decision. [Item 4]
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Kobayashi, T., Okada, H. (2013). The Effects of Similarities to Previous Buyers on Trust and Intention to Buy from E-Commerce Stores: An Experimental Study Based on the SVS Model. In: Uesugi, S. (eds) IT Enabled Services. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1425-4_2
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