Keywords: Structural equation modeling
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Journal of Services Marketing (2023) 37 (6): 706–718.
Published: 20 April 2023
... affect their positive word-of-mouth intention (PWOM). Data were collected by surveying 810 visitors to 3 museums (i.e. Louvre, Pera and Key) representing different museum types. The research model was validated by using partial least squares structural equation modeling. The predicted...
Journal Articles
Journal of Services Marketing (2023) 37 (3): 392–407.
Published: 23 August 2022
... suggest ways service providers can eliminate the stressors, thereby reducing consumers’ fear and preventing resistance or negative word-of-mouth behaviors. This study has valuable implications for both scholars and practitioners. Risk Structural equation modeling Self-service technology Word...
Journal Articles
Journal of Services Marketing (2023) 37 (4): 431–445.
Published: 26 April 2022
... mating subdimensions functioned as indicators. The model was tested by structural equation modeling. Findings Assortative mating processes facilitated superior preference-selection outcomes for individuals seeking consumer-to-consumer romantic relationships inside internet-mediated service settings...
Journal Articles
Journal of Services Marketing (2022) 36 (8): 1015–1030.
Published: 14 January 2022
... tracking (+) 337 sample from Jordanian smartphone users The main results are based on structural equation modeling and support the role of online review, online rating, online tracking, performance expectancy, hedonic motivation, and price value on e-satisfaction and continued intention to reuse...
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Journal of Services Marketing (2022) 36 (3): 364–378.
Published: 28 July 2021
... a moderator) in the association of CPV and subsequent consumer-behavior outcomes. Design/methodology/approach By conducting two studies spanning a broad range of services, this paper explores the relationship between CPV, CX, and WoM behavior through structural equation modeling. Findings The findings...
Journal Articles
Journal of Services Marketing (2021) 35 (7): 891–900.
Published: 22 July 2021
.... This study provides insight into how the B2B CX, measured by EXQ, differs from one country to another. Most significantly, the Moroccan sample demonstrates a never-before-reported high correlation between the service and post-purchase experience. Structural equation modeling Quantitative research B2B...
Journal Articles
Journal of Services Marketing (2021) 35 (6): 821–833.
Published: 12 July 2021
... vulnerability influences visually impaired and legally blind consumers’ satisfaction, recommendation and repurchase intentions. The data were analyzed using structural equation modeling. Findings The results of the study revealed that as the visually impaired and legally blind consumers perceive themselves...
Journal Articles
Journal Articles
Journal of Services Marketing (2021) 35 (8): 1000–1012.
Published: 08 February 2021
... satisfaction on e-WOM. Service recovery strategy Satisfaction e-WOM SEM Structural equation modeling Service recovery Kuang-Wen Wu can be contacted at: kwwu@mail.fcu.edu.tw 19 12 2019 11 05 2020 31 08 2020 12 11 2020 09 12 2020 © Emerald Publishing Limited...
Journal Articles
Journal of Services Marketing (2021) 35 (2): 169–181.
Published: 08 December 2020
.... Value co-creation Customer co-creation Company dynamic capabilities Service innovation Post-communist Poland Co-creation Service strategy Structural equation modeling Co-production Service dominant logic (SDL) The purpose of this paper is to test what kind of value co-creation-related...
Journal Articles
Journal Articles
Journal of Services Marketing (2020) 34 (6): 769–783.
Published: 18 August 2020
... with structural equation modeling. Findings The findings of this study support all the hypotheses of the model and confirm that customer satisfaction has direct and indirect effects on customer loyalty and other firm outcomes through customer well-being. Research limitations/implications This research...
Journal Articles
Journal of Services Marketing (2018) 32 (5): 592–604.
Published: 26 June 2018
... teenagers. The data were analyzed using structural equation modeling. Parent–child communication, peers, media and self-construal have varying influence on technology readiness of teenagers. The effects of parent–child interactions are mediated by self-construal, which reaffirms the importance...
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