Destination Marketing Organisations (DMOs) are facing the dilemma: on one hand, communicating branding messages effectively to target markets all over the world requires abundant resources, while stakeholders within the destination have different (sometimes even conflicting) interests in destination branding on the other. Specifically, residents of a tourism destination have great potential in helping the place by being involved in tourism development and destination branding, due to the development of information technology. To investigate how self-congruity influences residents’ evaluation on the place, as well as their voluntary WOM behaviours, this article proposes self-congruity as a key construct affecting residents’ place satisfaction and expectation, and further influencing residents’ place related behaviours, such as word-of-mouth (WOM). An empirical study was conducted in Ljubljana, Slovenia, with 309 questionnaire collected. Via a structural equation modelling analysis, this study finds that variation of self-congruity in the impacts on place satisfaction and expectation, as well as two types of WOM behaviours, namely one-to-one WOM and one-to-many WOM. This provides evidence to support the standpoint that different WOM are motivated by different factors via different psychological mechanisms. Specifically, (1) actual self-congruity and place satisfaction (reflecting an evaluation of past of current performance of the place) only affect one-to-one WOM, suggesting that this type of WOM is mainly motivated by one’s current state; (2) ideal self-congruity was found to affect place expectation, suggesting a consistency in the expectation of one’s self image and the place; (3) one-to-many WOM has two indicators of ideal self-congruity and place expectation, implying publishing one’s opinions and thoughts is driven by expectation rather than current state. In general, the results add detailed and in-depth findings on distinguishing the motivations of different types of WOM in WOM literature.

• Ning (Chris) Chen(University of Canterbury, New Zealand)
• Tina Šegota(University of Greenwich, United Kingdom)
• Tea Golja(Juraj Dobrila University of Pula, Croatia)