Mehran, J. and Olya, H.G.T. orcid.org/0000-0002-0360-0744 (2020) Canal boat tourism : application of complexity theory. Journal of Retailing and Consumer Services, 53. ISSN 0969-6989
Abstract
This study applies complexity theory to explain how a cognitive-affective model indicates canal boat tour participants' desired behaviour. An in-situ survey was administered to collect data from 202 boat tour participants following a tour of the Canal du Faux-Rempart in Strasbourg, France. The study applies an asymmetrical analysis to investigate the cognitive-affective factors deriving participants’ intentions to recommend canal boat tours. This study uses an asymmetrical approach to explore causal recipes from three configurations of socio-demographic factors with prior experience and cognitive and affective factors, leading to both high and low scores of recommendation intention. An analysis of necessary conditions was performed to identify the factors required to achieve the expected outcome. The results revealed that complexity theory supports causal interactions, leading to intention to recommend. Overall image, perceived quality, emotion and satisfaction are necessary factors to recommend canal boat tours. We discuss the theoretical and practical implications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier. This is an author produced version of a paper subsequently published in Journal of Retailing and Consumer Services. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Canal boating; Complexity theory; Cognitive-affective; fsQCA; Necessary conditions; Emotion |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Oct 2019 08:48 |
Last Modified: | 04 Apr 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jretconser.2019.101954 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:151834 |