PurposeInternet emergence has evolved the business of tourism companies, and every tourism company is available online and provides abundant choices, which causes consumers' confusion. The current study aims to investigate the interaction effect of demographic variables on confusion, decision postponement as a negative consequence of confusion and self-efficacy as a moderator in light of the stimulus organism response (SOR) model. Also, an attempt has been made to integrate the smart technology-based solution to deal with consumers' confusion.Design/methodology/approachThree-way ANOVA, Andrew Hayes process, structural equation modelling and random forest algorithm were used to assess the 507 self-filled questionnaire responses for examining consumers' confusion.FindingsThe results reveal that confusion decreases with increased education levels for each gender and age group. Also, for every gender and education level, consumer confusion increases and then decreases. Further, it was observed that self-efficacy effectively moderates the influence of different confusions on decision postponement. An artificial intelligence-enabled predictive model with an accuracy of 71.49% was established, which forecasts the possibility of consumers' decision postponement.Practical implicationsThis study offers the comprehension of how the travel site administrators and stakeholders have used artificial intelligence-enabled solution for consumers' confusion and to reduce decision postponement.Originality/valueTo the best of the authors' awareness, this is one of the first studies to unveil the interaction effect of demographic factors on confusion, assess the role of self-efficacy as a moderator and provide artificial intelligence-enabled solutions for consumers' confusion.
PurposeCluttered website layout and a poor presentation of information on limited web space are present on tourism websites as ineffective marketplace stimuli that give rise to the problem of consumers' confusion. Based on stimulus organism response theory (SOR), this research investigates the three-dimensional confusion framework, its direct and indirect effect on negative eWOM, and consumers' decision postponement, considering negative emotion as a mediator.Design/methodology/approachOn the data gathered from 501 respondents, structural equation modelling was used to test the proposed research hypotheses.FindingsThe results reveal the existence of the ineffective marketplace stimulus as an antecedent of consumer confusion. Further outcomes validate the cognitive, affective and response behaviour state by demonstrating the direct influence of different types of confusion on negative emotions, electronic word-of-mouth (eWOM) and decision postponement. The association between cognitive and response behaviour is also mediated by negative emotion.Practical implicationsThe study offers substantial practical insights for managers and company operators to better grasp the significance of the affective dimension in consumer confusion in view of the extended SOR model to encapsulate the role of human consciousness.Originality/valueThis study is among the first extensive studies to examine consumer confusion in the context of the modified SOR model that captures the essence of human consciousness by understanding the role of affective emotions between various confusions, negative eWOM and decision postponement. In addition, the ineffective marketplace stimulus as a confusion antecedent and negative eWOM as a response behaviour were studied for the first time.
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