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Prior to systems analysis, trust has been discussed at length in the social science literature. To date, however, this prior literature has not been fully unified, although solid progress has been made. As McKnight? and Chervany (1996) have observed, there are indeed too many different definitions of trust in the research, making it impossible to compare studies to derive meta-theoretical conclusions as a hope to unify them.

Much of systems analysis literature does not attempt seriously to address the problem of a lack of definition of trust, but rather only makes a passing reference to the fact that there is a discussion going on. Many papers have repeated this exact quotation of trust:

"Trust (or, symmetrically, distrust) is a particular level of the subjective probability with which an agent will perform a particular action, both before [we] can monitor each action (or independently of his capacity of ever be able to monitor it) and in a context in which it affects [our] own action." (Gambetta, as quoted in Capra, 2004, p. 108)

as definitive. Otherwise many studies use dictionary definitions of trust, say from Webster's definition or the Oxford English Dictionary before moving onto their problems at hand. While these strategies are legitimate as far as they go, they do not encompass the full body of work. Although the situation leaves something to be desired, some have gone so far as outright attack the situation in the research as chaos:

Overall, it would appear that the confusion that existed in other fields may be slopping over into the IS field. Thus, while each individual IS researcher is being careful to base his/her work on established literature, the collective work is in danger of being chaotic because of the inconsistencies in the work that they are drawing from. (Geffen, Rao, & Tractinsky, 2003, p.3)

To address this, what follows is a simplified framework of the best conceptualizations to date.

It's not surprising the systems analysis research has failed to come to consensus on what trust means. More complete surveys (McKnight? and Chervany, 1996; Chopra and Wallace, 2003) have come to the conclusion that the social science literature has multiple definitions of trust because they each fit the particular narrow lens or perspective of their respective disciplines, and thus they are each like blind men describing an elephant. To summarize:

Which create overall three broad structural categories for conceptualizing trust:

As well a general model of how trust affects an individual, stemming from both the dictionary definitions verified with research, as trust being a) a personal feeling of the trustor, b) about how confident to be in positive expectations of the trustee, c) which induces some behavioural change in the trustor, leading Chopra and Wallace (2003) to define trust concisely as

"the willingness to rely on a specific other, based on confidence that one's trust will lead to positive outcomes." (p.333)

Finally, trust has both rational cognitive and emotional affective dimensions to it, a distinction that is often grappled with in the system analysis literature (e.g. Camp, 2003). While economists look at the rational choice mechanism as a cognitive decision to trust, psychologists study how emotional states lead people to trust or distrust. McKnight? and Chervany (1996) manage to combine all these disparate views of trust in the following table:

Impersonal Personal Interpersonal
Affective State Cognitive State
Structural Dispositional Attitude Feeling Expectancy Belief Intention

Against this framework, we can place the various dimensions people have used to try to characterize trust. As Chopra and Wallace (2003) describe, with some minor changes to move displaced categorizations, plus the dimensions described by McKnight? and Chervany (1996):

Chopra and Wallace (2003) further describe that trust is developed through predictability (past experience with trustee), judgment (calculate based on available evidence), bonding (emotional relationship), reputation, and identification (do we share a common identity?). Whereas, in a later paper, McKnight? and Chervany (2001) summarize the background (hygiene) factors that are necessary to enable the process of developing trust, which are restructured here as follows:

Distrust. The latter point, social recourse, points to where trust contrasts with distrust. Trust enables higher gains while distrust avoids potential loss (Camp, 2003). Along the axis of personal, interpersonal, and structural relationships distrust is respectively a person's level of general cautiousness or wariness; the level they wish to control a particular interpersonal relationship in order to feel safe; and a mechanism (e.g. jail) to revoke trust either granted or presumed by default. One reasonable definition says distrust is the "the lack of firm belief in the competence of an entity to act dependably, securely, and reliably within a specified context." (Grandison and Sloman, 2000, p.3)

In information systems, many attempts are made to formalize trust or to model trust for the ease of implementation by machine. The following principles are commonly held:

However, although most attempts have focused on transitive trust because it was convenient for the modeling technique, without considering the full richness of how people actually use their social connections to decide trust leads to faulty systems. Consider that for one, recommendations also have to be trusted (Abdul-Rahman & Hailes, 1997a), as one may not trust their car mechanic to give medical advice, or different levels of trust in the state-run institutions of the Third World Secondly, trust is not totally transitive, but only partially transitive. If a friend recommends an accountant, it will not automatically conclude that money can be trusted with that accountant., requiring us to evaluate that accountant ourselves (Reagle, 1996). Further, trust is bound in personal relationships as described above, so until the accountant has been met and a personal relationship is built, we will not trust each other as much as the friend and the accountant. Also, people lie, are prejudiced, or have other biases that we cannot assume do not exist — even if most of the systems literature does make this simplifying assumption for the convenience of their models. This can be dangerous if the system forces a user to become vulnerable to a party that, despite what the model believes, does not get along with. Instead, a preferred model is to use recommendations to identify candidates, and then make personal judgments and build relationship from there.


References

Abdul-Rahman, A. and Hailes, S. (1997a). A distributed trust model. In proceedings ACM New Security Paradigms Workshop '97, Cumbria, UK. September 1997, 48-60.

Abdul-Rahman, A. and Hailes, S. (1997b). Using recommendations for managing trust in distributed systems. In Proceedings IEEE Malaysia International Conference on Communication '97 (MICC'97), Kuala Lumpur, Malaysia. November 1997.

Abrams, M. D. and Joyce, M. V. (1995). Trusted systems concepts. Computers and security, 14(1), 57-68.

Camp, L. J. (2003). Designing for trust. In: Rino Falcone, et al. (Eds.): Trust, Reputation, and Security: Theories and Practice, AAMAS 2002 International Workshop, Bologna, Italy, July 15, 2002, Selected and Invited Papers.

Capra, L. (2004). Engineering human trust in mobile system collaborations. In SIGSOFT'04, 107-116.

Chopra, K. and Wallace, W. A. (2003). Trust in electronic environments. Proceedings of the 36th Hawaii International Conference on System Sciences, January, 2003, 331-340.

Geffen, D., Rao, V. S., Tractinsky, N. (2003). The conceptualization of trust, risk and their relationship in electronic commerce: The need for clarifications. In Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS ’03), Hawaii, 192-201.

Grandison, T. and Sloman, M. (2000). A survey of trust in Internet applications. IEEE Communications Surveys, Fourth Quarter, 2-16.

Guha, R., Kumar, R., Raghavan, P., and Tomkins, A. (2004). Propagation of trust and distrust. In Proceedings of WWW2004, New York, May 17-22.

McKnight?, D. H., and Chervany, N. L. (1996). ''The meanings of trust. University of Minnesota MIS Research Center Working Paper series, WP 96-04. Available from http://misrc.umn.edu/wpaper/WorkingPapers/9604.pdf

McKnight?, D. H. and Chervany, N. L. (2001). Conceptualizing trust: A typology and e-commerce customer relationships model. In Proceedings of the 34th Hawaii International Conference on System Sciences, January 3-6, 2001, 7022-7031.

Mundie, C., de Vries, P., and Corwine, M. (2002). Trustworthy computing. Microsoft whitepaper. Available from http://www.microsoft.com/mscorp/twc/twc_whitepaper.mspx

Reagle Jr., J. M. (1996). Trust in electronic markets: the convergence of cryptographers and economist. First Monday, 1(2). Available from http://www.firstmonday.dk/issues/issue2/markets/index.html

Trusted Computing Platform Alliance. (2001). Main specification, Version 1.1b. Available at http://www.trustedcomputing.org/docs/main%20v1_1b.pdf.

Yu, B. and Singh, M. P. (2002). An evidential model of distributed reputation management. In Proceedings of AAMAS ’02, Bologna, Italy, July 15-19, 2002, 294-301.


Discussion

There also is a very different definition of trust: Trust is the amount of damage you allow someone else to be able to inflict to yourself. So a high level of trust doesn't mean nothing can go wrong but it means if something goes wrong it will hurt much. In this definition trust is neither a probability nor an estimation. It is measured by the part you already have exposed to your opponent.

How much someone else (or something) can inflict to yourself is (as much as you are not omnipotent) independent from yourself. I don't think you can define trust as something independent from the person that trusts. -- ZbigniewLukasiak


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