PurposeTo understand how three features of online consumer reviews - the strength of persuasiveness in online consumer reviews (argument quality), the number of online consumer reviews (volume of reviews), and source credibility – are related to the behavioural intentions in the movie consumption context. Besides, the present study aims to explore intergenerational differences (X, Y, and Z) in the patterns of association between three characteristics of online consumer reviews (argument quality, volume of reviews, and source credibility) and an individual’s choice of a movie intended to be watched.Design/methodology/approachThe study sample (n = 518) was recruited from a population of users of IMDb living in Bosnia and Herzegovina. Structural equation modelling and multi-group analysis were used to test the proposed hypotheses.FindingsThe results revealed that argument quality, the volume of reviews, and source credibility of movie-related online consumer reviews are positively related to the intention to watch a movie for all three generational cohorts (X, Y, and Z). Regarding biases in processing information cues, our findings indicate that movie viewers from all three generations (X, Y, and Z) make inferences between source credibility and argument quality. However, biases in the relation between the volume of reviews and the argument quality were found only among X-ers and Y-ers but not among Z-ers.Originality/valueThe present study contributes to the eWOM research stream by examining the role of different characteristics of online consumer reviews (argument quality, the volume of reviews, and the source credibility) in movie consumption. Moreover, it sheds light on how argument quality, the volume reviews and the source credibility interact with the behavioural intentions of different generations and whether these interactions exhibit similarities or differences across three distinct generation cohorts: X-ers, Y-ers, and Z-ers.

Abstract In times when AI’s development and research is moving at an unprecedented speed, this paper explores its role in retail banking. The results presented are part of a wider research of market readiness and AI acceptance, especially in developing economies. The research was conducted in Bosnia and Herzegovina (B&H). The quantitative portion consisted of a survey completed by 671 respondents. This paper focuses on the influence of social factors (perceived humanness, perceived social interactivity, and perceived social presence) on the attitudes towards – and subsequently acceptance of - AI-based services. Chatbots, specifically ChatGPT-4, were the technology the research focused on. The results indicate that perceived humanness and perceived social interactivity have a positive effect on attitudes – and acceptance – of AI-based services. This research could not prove that there is a positive relationship between social presence and attitudes towards AI-based services. The positive relationship between attitude and acceptance was proven as well.

Abstract The present study proposes the conceptual model, which traces the role of consumers’ high-quality consciousness, perceived brand equity, and luxury value perceptions on the intention to purchase masstige brands and tests it for the moderating role of generational cohort membership (X-ers, Y-ers, and Z-ers). To explore the relationship between variables of interest, we used a quantitative survey-based research design and emphasised a single product category – consumer electronics and a single masstige brand – Apple. The online survey questionnaire was developed on the Google platform and distributed among residents of Bosnia and Herzegovina using a snowball sampling technique. In the end, we received 354 usable responses. We used structural equation modelling and multigroup analysis to test the proposed conceptual model. Our findings suggest that quality consciousness is the most significant predictor of consumers’ intentions to buy a masstige brand, followed by perceived brand equity. Also, our results indicate that the relationships between independent variables (consumer-based brand equity, quality consciousness, overall luxury value) and dependent variables (intention to purchase a masstige brand) are contingent on generational differences. The present study deepens our scholarly understanding of masstige consumption and contributes to the theoretical notion of generation cohort theory in the context of masstige consumption.

Purpose: The current study is theoretically grounded in the Technology Acceptance Model (TAM) and Social Influence Theory. It attempts to explain how acts of others influence attitudes and behaviors of individuals in the context of the adoption of cloud computing services. Methodology: The present study used the convenience sampling technique to conduct empirical research. Data collection was performed via an online survey. We used Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the proposed research model. Results: Our findings suggest that a favorable social norm towards cloud computing services produces a positive and statistically significant effect on perceived ease of use, perceived usefulness, and willingness to use cloud computing services. In terms of mediating the role of perceived ease of use and perceived usefulness, findings revealed that perceived ease of use mediates the relationship between social norms and willingness to use cloud computing services. Conclusion: The present study advances our understanding of the role of social influence and individual perceptions of technology (i.e., usefulness and ease of use) in the intention to use technology in the cloud computing context.