How to promote repurchase intention toward Covid-19 antigen test kits: Evidence from Thai consumers

Undoubtedly, in the modern age of digitalization, Millennials, who are considered digital natives, have become a massive target market for salespersons. Changes in the way Millennials think accompanied by an explosion of social media have led to an increased focus on social media influencer marketing in the company sector. To help establish a new marketing paradigm that accounts for these changes, this research aims to conceptualize and investigate the process of building consumer-brand relationships with Millennial consumers through social media micro-influencers. Findings based on structural equation modeling revealed that four core characteristics of social media micro-influencers (i.e., authenticity, the meaning of the influencer, specific content, and secret sharing) were a significant antecedent of brand engagement and brand love, which, in turn, mediated the pathway from social media micro-influencer characteristics to brand evangelism. Understanding what social media micro-influencers mean to Millennials offers the promise of improving brand evangelism through more precise market analysis and market strategy. In the discussion, the paper introduces a three-stage building method towards brand evangelism through social media micro-influencer, including: (1) the stage of selecting influencers; (2) the stage of constructing intense emotional responses to the brand (brand engagement and brand love); and ultimately (3) the stage of becoming a brand evangelist. Lastly, limitations and future directions were discussed.

This study investigates the brand loyalty of consumers in the online booking platform industry. The Mabalingwe Nature Reserve served as a case study, while the Moolla and Bisschoff brand loyalty model was used to measure brand loyalty across twelve antecedents. This study aimed to, firstly, validate the model for use in online booking platforms, secondly, to measure the reliability of the data, and finally, to measure brand loyalty across twelve antecedents in online booking platforms. Online questionnaires were distributed via an online link by the booking managers of the game reserve, and 131 responses were captured; this represented a statistically adequate sample as per the KMO measure (.741). The descriptive statistics, using a 5-point Likert scale, showed that Brand trust (4.03) and Customer satisfaction (3.96) are the most important brand loyalty antecedents, while Culture (2.34) is the least important brand loyalty antecedent in an online booking platform. Exploratory factor analysis validated the questionnaire for online booking platforms, while Cronbach’s alpha coefficient (.701) indicated that the reliability of the data is acceptable. Regarding latent variable identification, Brand quality and Brand relationship are two most important factors, respectively, explaining variance of 13.1% and 8.7%. The study culminated in a model to measure and manage brand loyalty of online booking platforms. This model can be operationalized for use by managers, researchers, and academia.

The main aim of this study is to examine the antecedents and consequences of consumer engagement in the Saudi airline industry. In total, 403 usable responses were collected using an electronic survey. The study respondents include airline travelers who are living in Saudi Arabia. The survey data were examined using structural equation modeling (SEM) to verify the theoretical model. The major study findings suggest that a positive correlation is found between online brand experience, brand love, and customer engagement. Moreover, customer engagement is positively associated with repatronage intention. In addition, the moderating results show that service quality has a moderating influence on the relationship between customer engagement and repatronage intention. As a consequence, the findings indicate the existence of service quality and its role in determining customer behavior intentions. This study also offers a great understanding of the interaction between the important factors. Thus, they may be utilized as a guideline for managing air traveling and improving airline sales in the country.