Determinants of consumers' perceived trust in IT-ecosystems

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Wiedmann, Klaus-Peter; Hennigs, Nadine; Varelmann, Dieter; Reeh, Marc-Oliver: Determinants of consumers' perceived trust in IT-ecosystems. In: Journal of Theoretical and Applied Electronic Commerce Research 5 (2010), Nr. 2, S. 137-154. DOI: http://dx.doi.org/10.4067/S0718-18762010000200009

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/580

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Sum total of downloads: 189




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Abstract: 
Digital ecosystems, or IT-ecosystems (ITEs), are composed of multiple and independent entities such as individuals, organizations, services, software, and applications. Together, these elements create a number of new independent systems that operate and communicate with their own infrastructure (man to machine; machine to machine; person to person), sharing one or several missions. A better understanding of how ITEs and their interconnected components create benefits and added value for different types of consumers is of particular importance to the establishment of digital environments and to managing their resources. Considering different components of perceived trust in ITEs, we rely in this paper on a multi-dimensional framework of trust effects that includes system-centric as well as user-centric determinants of trust. Based on our conceptual model, we develop two sets of propositions. The first ones address technological drivers of trust in ITEs, whereas the second set of propositions considers individual as well as social drivers of trust. The model and propositions are discussed with reference to preliminary empirical results as well as to future research steps and business implications.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Wirtschaftswissenschaftliche Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 102 53.97%
2 image of flag of United States United States 22 11.64%
3 image of flag of Malaysia Malaysia 7 3.70%
4 image of flag of China China 6 3.17%
5 image of flag of India India 5 2.65%
6 image of flag of Indonesia Indonesia 5 2.65%
7 image of flag of France France 5 2.65%
8 image of flag of Netherlands Netherlands 4 2.12%
9 image of flag of Vietnam Vietnam 3 1.59%
10 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 1.06%
    other countries 28 14.81%

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