Artikel
Online-mobile service cross-channel cognitive evaluations in a multichannel context
Since the advent of mobile commerce, many firms have added a mobile (m-) service to their existing offline and online services. The adoption of an m-service in a multichannel context is not only influenced by factors directly associated with the m-service, but also by cross-channel cognitive evaluations emanating from other existing channels. These cross-channel evaluations can lead to evaluative synergies and dissynergies that can influence consumer decision-making. To explore empirically the impact of cross-channel synergies and dissynergies between the online service and the m-service offered by the same firm, against the background of expectation-transfer theory and status-quo-bias theory, data were collected from 666 online-service users. Consistent with expectation-transfer theory and status-quo-bias theory, the results of the study demonstrated that cross-channel evaluative synergies and dissynergies do indeed impact salient m-service beliefs. The results suggest that managers can leverage the cross-channel synergies emanating from online trust and ease-of-use beliefs to enhance the adoption of the m-service. The results also suggest that, to enhance wider adoption, the marketing managers of m-services need to mitigate the status-quo-bias effects emanating from online-service facilitating conditions, and lower online-service risk perceptions.
- Language
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Englisch
- Bibliographic citation
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Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 46 ; Year: 2015 ; Issue: 3 ; Pages: 67-78 ; Cape Town: African Online Scientific Information Systems (AOSIS)
- Classification
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Management
- Event
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Geistige Schöpfung
- (who)
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Nel, J.
Boshoff, C.
- Event
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Veröffentlichung
- (who)
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African Online Scientific Information Systems (AOSIS)
- (where)
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Cape Town
- (when)
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2015
- DOI
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doi:10.4102/sajbm.v46i3.102
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Nel, J.
- Boshoff, C.
- African Online Scientific Information Systems (AOSIS)
Time of origin
- 2015