Augmented Reality (AR) smart glasses strengthen user interaction by merging real-world visuals with digital information. This study explores the impact of wearability, usability, and social influence on the feeling of groundedness and purchase intentions for AR smart glasses moderated by privacy concerns. Text mining and PLS-SEM were employed to analyze 3,164 Amazon smart glasses online reviews. Results suggest...
Integrating Artificial Intelligence (AI) into marketing has revolutionised this field, offering new avenues of innovation and efficacy. This study aims to unveil the prevailing trends and patterns within the current academic literature about AI applications in Marketing and propose future research directions. The study conducted a comprehensive review by analysing 2,255 articles from the Scopus database from 19...
Understanding leadership perspectives on environmental issues is fundamental in an era where corporate sustainability is a global priority. This study explores the views of CEOs and Directors on environmental sustainability and climate change, investigating how their demographic and professional characteristics are associated with their sentiments. By analyzing 761 comments from the World Economic Forum LinkedI...
Despite having great potential, microtransactions are an understudied business model in the video game industry. The current study explores the buying process of microtransactions to highlight the most important factors affecting such behavior. Using pre-validated scales, a questionnaire was administered online to 301 participants who were asked to evaluate their impulse buying tendency (IBT) and purchase inten...
Purpose: This study aims to map the conceptual structure and evolution of the recent scientific literature published in marketing journals to identify the areas of interest and potential future research directions. Design/Methodology/Approach: The 100 most influential marketing academic papers published between 2018 and 2022 were identified and scrutinized through a bibliometric analysis. Findings: Our findings...
This study comprehensively reviews the literature since 2000 addressing contemporary tourism and hospitality research. The research conducted bibliometric analysis and topic modeling using R software encompassing over 18 thousand articles published in the top journals (first decile) according to the Scopus rankings. Our investigation determines the knowledge structure of research on tourism and hospitality and ...
Logos are part of a brand’s identity, responsible for its recognizability and what it stands for. Research showed that buying products easily recognizable by others is associated with status and/or conspicuous consumption. This research aimed to determine the reasons behind consumers wearing logo clothes. Building on existing literature, it investigated how status, conspicuousness, self-monitors, self-esteem, m...
In the last years, the development of social media and digital technology has empowered customers to strongly engage with firms, to freely behave choice wisely and to influence other customers either positively or negatively. This study sought to extract latent information on theme park visitor perception and experience through sentiment analysis from user generated content. In general, satisfaction and sentime...
This study was developed to understand how tourists feel after dreamed travel experiences ended up cancelled. The orchestra model that considers experiences as an intermingled process was applied to analyse the negative feelings experienced by tourists during these pandemic times. Through web scraping, over 40 thousand comments from 600 threads discussing the pandemic impact on tourists’ inability to concretize...
Purpose: This study aims to unveil within the current academic literature the principal directions in the ethnic entrepreneurship and small business marketing research context. Design/methodology/approach: An automated literature analysis procedure was undertaken, attempting to cover all literature published on the subject since 1962. A total of 188 articles were analysed using text mining and topic modelling. ...