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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS
JANURAY 2011
VOL 2, NO 9
3- Kaplan & Nieschwietz‟s Research
The proposed relationships among Web assurance services, trust, and outcomes are presented
in Fig. 2. This model of trust is based on those developed by McKnight et al. (1998) and
Mayer et al. (1995). Consistent with McKnight et al.‘s model, institutional based trust
positively influences both trusting beliefs (or trust) and trusting intentions (or outcomes). In
Fig. 2, the seal-type variable represents the source of institutional-based trust, and as shown, is
related to both trust and outcomes. Building on the work of Mayer et al. (1995), Fig. 2 shows
trust influencing outcomes (Kaplan & Nieschwietz, 2003, pp. 99-100).
The measurement model is shown in Fig. 2. Four latent variables are used. The first latent
variable, outcomes, consists of three measures: willingness to purchase, quality, and risk. The
second latent variable, trust, consists of seven measures: two measures for each of
predictability, dependability, and faith, along with one measure of overall trust. The third
latent variable, assurance, consists of four measures: privacy, security, business practices and
transaction integrity, and availability. And the fourth latent variable, provider, has six
measures: confidentiality, objectivity, integrity, experience, expertise, and technical
knowledge (Kaplan & Nieschwietz, 2003, p.106).
Assurance
Measures
Seal type Trust Outcomes
Web Seal
Provider
Attributes
Figure 2. Model of trust including assurance measures and provider attributes.
Source: S.E. Kaplan, R.J. Nieschwietz, 2003, p.100
4- Jaeki Song and Fatemeh “Mariam” Zahedi‟s research
In the actor-network theory (ANT), design is a process of ―translation‖ of user‘s and other
stakeholder‘s needs into specific categories of needs, and later to a general set of needs. These
general needs are then ―inscribed‖ into a uniform solution (the design). Inscription in this
context means that the IT artifact reflects and embodies the needs and use patterns of its users.
In the context of health infomediaries, the design of a health infomediary is the result of
inscription of various needs into the network (the health infomediary and its users and other
stakeholders). Alignment is defined as ―the extent to which the agendas and interests
inscribing into the practice, institutions, and strategies of the network pull in the same
direction, and serve the same purpose‖. When the system is running, the alignment of the
network‘s constitutive parts – including users' beliefs and experiences – will determine the
patterns of use. In conceptual model presented in Fig. 3 researchers discuss how the
constitutive parts of the network – including user‘s beliefs and experiences as well as the
contents of the health infomediary and the environmental factors – will determine the pattern
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