Configurational analysis of conditions influencing customers' channel switching intention in omnichannel retailing: a fuzzy-set analysis
- PMID: 37359966
- PMCID: PMC9978287
- DOI: 10.1007/s11135-023-01633-8
Configurational analysis of conditions influencing customers' channel switching intention in omnichannel retailing: a fuzzy-set analysis
Abstract
This research examined the interplay among personal factors, namely channel lock-in, cross-channel synergy, attribute-based decision making (ADM); environmental factors, namely others' past switching behaviour (OPB), pressure to switch from others (PSO); and behavioural factors, namely perceived self-efficacy and perception on facilitating conditions as antecedents to customers' channel switching intention in an omnichannel context. Drawing on the complexity theory and set theory, we applied configurational analysis using the fuzzy-set Qualitative Comparative Analysis. The result of the analysis indicated two (2) sufficient configurations that led to an intention to switch channels. Both configurations contained ADM, OPB, and PSO conditions that highlight the importance of personal factors and environmental factors needed for the presence of an intention to switch channels. However, no sufficient configurations were obtained that indicate an absence of intention to switch channels. This study challenges theoretical underpinnings by demonstrating that omnichannel channel-switching behaviours can be explained from a configurational perspective. The configurations produced by this study can serve as a basis for researchers who plan to conduct asymmetric modelling of customers' channel-switching behaviour in an omnichannel context. Finally, this paper suggests omnichannel retail strategies and management as informed by these configurations.
Keywords: Channel switching behaviour; Configurational analysis; Customer experience; Omnichannel; Qualitative comparative analysis (QCA); fsQCA.
© The Author(s) 2023.
Conflict of interest statement
Conflict of interestThe authors declare that they have no conflict of interest.
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References
-
- Ajzen I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991;50(2):179–211. doi: 10.1016/0749-5978(91)90020-T. - DOI
-
- Amara N, Rhaiem M, Halilem N. Assessing the research efficiency of Canadian scholars in the management field: evidence from the DEA and FsQCA. J. Bus. Res. 2020 doi: 10.1016/j.jbusres.2019.10.059. - DOI
-
- Armstrong JS. Illusions in regression analysis. Int. J. Forecast. 2012;28(3):689–694. doi: 10.1016/j.ijforecast.2012.02.001. - DOI
-
- Arora S, Singha K, Sahney S. Understanding consumer’s showrooming behaviour: extending the theory of planned behaviour. Asia Pac. J. Mark. Logist. 2017;29(2):409–431. doi: 10.1108/APJML-06-2016-0111. - DOI
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