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Stumbling over the Trust Tipping Point – The Effectiveness of Web Seals at Different Levels of Website Trustworthiness

Adam, Martin 1; Niehage, Lars 1; Lins, Sebastian 2; Benlian, Alexander 1; Sunyaev, Ali 2
1 Technische Universität Darmstadt (TU Darmstadt)
2 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

Researchers and practitioners have long thought that web seals are effective means to improve a website’s trustworthiness. However, studies demonstrated that web seals sometimes fail to exhibit the desired effect. Drawing on literature on cognitive complexity and the trust tipping point, this study investigates whether a website’s default trustworthiness (i.e., the trustworthiness of a website without a web seal) may play a pivotal role in explaining the inconsistent findings. We conducted a randomized online experiment with 240 participants and found support for the assertion that below a certain level of trustworthiness (i.e., the trust tipping point), web seals show a significant effect on a website’s trustworthiness. Yet, if the website’s default trustworthiness is above the trust tipping point, web seals do not significantly increase a website’s trustworthiness. Consequently, our study provides an unprecedented perspective on the effects of web seals on a website’s trustworthiness by considering a website’s default trustworthiness.


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 06.2020
Sprache Englisch
Identifikator KITopen-ID: 1000148107
Erschienen in Proceedings of the 28th European Conference on Information Systems (ECIS). Online Conference, June 15-17, 2020.
Veranstaltung 28th European Conference on Information Systems (ECIS 2020), Online, 15.06.2020 – 17.06.2020
Externe Relationen Abstract/Volltext
Schlagwörter Web Seal, Trust, Tipping Point, Cognitive Complexity, Reference Point, Anchor-and-Adjust-, ment
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