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
Englisch

Bibliographic citation
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
Management

Event
Geistige Schöpfung
(who)
Nel, J.
Boshoff, C.
Event
Veröffentlichung
(who)
African Online Scientific Information Systems (AOSIS)
(where)
Cape Town
(when)
2015

DOI
doi:10.4102/sajbm.v46i3.102
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Nel, J.
  • Boshoff, C.
  • African Online Scientific Information Systems (AOSIS)

Time of origin

  • 2015

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