Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

By D. Harrison, Mcknight bullet, Vivek Choudhury, C. Kacmar. Information systems research, 2002

5,693 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/b611576195d9d883f9191b63009eb9483830a1b3

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Citations in the corpus

The Impact of Infusing Social Presence in the Web Interface: An Investigation Across Product Types (2005, background): “In particular, business-to-consumer e-commerce forecasts have been overly optimistic, where transactions have not reached a point of critical mass [47, 51, 60, 66].”
E-tailer׳s return policy, consumer׳s perception of return policy fairness and purchase intention (2014, background): “Existing literature indicates that trust is a major factor connecting e-tailers and consumers (Gefen, 2002) and a lack of trust is a barrier for e-commerce (McKnight et al., 2002; Shiau and Luo, 2012).”
Understanding users' initial trust in mobile banking: An elaboration likelihood perspective (2012, background): “Structural assurance reflects that there exist technological and legal structures to ensure security (McKnight et al., 2002a,b).”
Trust in the employer: the role of high-involvement work practices and procedural justice in European organizations (2011, background): “It is hypothesized to be an important factor influencing trust in institutions (Johnson and Swap 1982 ; McKnight, Choudhury and Kacmar 2002 ).”
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture (2008, background): “Most trust-related IS literature has viewed the IT artifact simply as an enabling ingredient of online transactions, focusing instead on vendor- or institution-based effects of trust [25, 26, 58, 66].”
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents (2020, background): “Propensity to trust is an individual trait that is constant across situations and would manifest itself in the initial trust level (Kim and Prabhakar, 2004; McKnight et al., 2002).”
Factors influencing the adoption of web-based shopping: the impact of trust (2004, result): “While this is consistent with other ecommerce trust studies (McKnight et al., 2002), it would be interesting in future studies to have comparative data on perceptions of trust and perceptions of risk.”
Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping (2007, methodology): “Our findings also confirm earlier work linking TAM constructs, trust and enjoyment to online consumer attitudes (for example: Gefen et al., 2003; Gefen and Straub, 2003; Koufaris and Hampton-Sosa, 2002, 2004; McKnight et al., 2002; Moon and Kim, 2001; Pavlou, 2003; Shih, 2004; van der Heijden et al.”
Organizations' Information Security Policy Compliance: Stick or Carrot Approach? (2012, methodology): “the results of the emergent 5-factor structure met the above criteria, with all the predefined items loading on their corresponding latent variables (2 out of 27 indicators measuring the 5 constructs were dropped during scale refinement), supporting discriminant validity [45].”
Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles (2013, background): “Credibility generates trust and a sense of stability among market participants (McKnight et al. 2002).”
What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study (2010, background): “…an expectation of a partner's beneficial conduct, distrust has been viewed in reciprocal terms as 2 Other views include a unidimensional view of trust, three dimensions (competence, honesty/integrity, benevolence) (Gefen 2002), and four dimensions (including predictability) (McKnight et al. 2002).”