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This study explores central questions related to the connection between social media marketing activities (SMMAs), user engagement and the self-brand connection of restaurant Instagram pages. The study examines the mediating role of user engagement between SMMAs and self–brand connections. Also, this study explores the connection between SMMAs and user engagement through the moderating role of gender and trust.

A convenience sample method was employed to collect data from customers (18–24 years old). A structural equation modeling approach and PROCESS macro were applied based on 298 online questionnaires completed by customers who follow restaurant Instagram pages. The mediating effect for user engagement and the moderating effect for gender and trust were performed.

The findings revealed that SMMAs have a significant positive influence on self–brand connection and user engagement. Further, user engagement acts as a mediator between SMMAs and self–brand connection. The results illustrate the importance of SMMAs in enhancing user engagement in light of gender and trust.

This paper presents significant managerial implications for restaurant businesses about how SMMAs can effectively enhance user engagement behavior and self–brand connection on Instagram pages.

This research developed a theoretical model to understand how SMMAs might enhance user engagement in the restaurant industry by invoking gender and trust as moderating variables in the relationship between SMMAs and user engagement. This paper offers new theoretical and practical contributions that add value to social media marketing (SMM) literature by testing the moderated–mediation model of these constructs in the hospitality sector.

This study aims to investigate the relative impacts of the cognitive dissonance on brand switching (BS) and satisfaction level (SAT) by considering the mediation role of purchase regret (PRG) in these relationships in an online shopping context.

The data was collected from 354 participants, and structural equation modeling and mediation analysis were conducted to test the conceptual model hypotheses.

The findings revealed that the cognitive dissonance positively affects PRG. Also, the study indicated a negative and nonsignificant relationship between cognitive dissonance and SAT and a negative significant relationship between cognitive dissonance and BS. In addition, a positive and significant correlation was found between PRG and BS. Furthermore, the results revealed that PRG mediates the relationship between cognitive dissonance and SAT.

This research provides a novel contribution by examining the impact of the cognitive dissonance on BS and SAT and uncovering the underlying mechanism of how and under what conditions cognitive dissonance promotes BS and SAT in an online shopping context.

The study investigates the antecedents and consequences of digital ad avoidance in the e-commerce industry. This study aims to investigate how digital ad avoidance relates to internet usage over time, using a two-wave longitudinal research design. This study also explores how real-world advertising clutter (clutter and non-clutter) affects these relationships.

The data were collected from 192 online consumers in Türkiye, and a two-wave longitudinal research design and structural equation modeling were conducted to test the hypotheses of the conceptual model.

The results indicated that perceived goal impediment and prior negative experience had positive effects on affective avoidance in both ad-clutter and non-clutter periods. Further, affective avoidance had a significant positive effect on both cognitive and behavioral avoidance in either period. In addition, ad clutter moderated the effects of cognitive and behavioral avoidance on online purchase intention.

This research provides new evidence of the crucial role perceived goal impediment, prior negative experience and perceived control each play in driving digital ad avoidance. This paper contributes to the body of knowledge in the field by exploring how advertising clutter (both cluttered and non-cluttered settings) moderates these relationships through a two-wave longitudinal study.

This investigation endeavors to examine the routes by which environmental–social–governance (ESG) performance influences the competitive landscape for logistics enterprises, with a particular emphasis on the function of digitalization in this complex process. The research underscores the significance of the ESG context in the realm of digitalization, providing valuable insights into its impact on the overall competitiveness of logistics enterprises.

This research gathers information from a total of 90 logistics enterprises that are publicly traded on the Shanghai and Shenzhen A-share stock markets for analysis and model testing. Due to the multiple pathways of influence and the constrained size of the sample, it has been decided that the Piecewise structural–equation–modeling (SEM) approach will be employed.

The research reveals that ESG factors positively impact enterprises' competitiveness (EC). The augmentation of competitiveness is attributed to the moderating role of green technology innovation (GTI) and agency costs between ESG and EC. In the context of digitalization, the level of digitalization of logistics enterprises may create a capital squeeze effect on environmental performance, weakening competitiveness. Conversely, the level of digitalization positively regulates the promoting effect of governance performance on competitiveness.

This research provides a sound theoretical foundation for understanding how ESG contributes to boosting the competitiveness of Chinese logistics enterprises and extends the application of Piecewise SEM in the research field of logistics enterprise competitiveness. Furthermore, it offers a practical pathway for companies to implement ESG practices and foster competitiveness in digital environments.

The aim of this study is first, to investigate the relative effect of user-generated content (UGC) and firm-generated content (FGC) on online brand advocacy, and second, to examine the mediation effect of customer engagement and the moderation effect of brand familiarity in the relationship between UGC and FGC and online brand advocacy. The differential impact of UGC and FGC on consumer behavior has yet to receive sufficient academic attention among hospitality scholars.

Based on social learning theory, cognitive consistency theory and schema theory, this study established an integrated research framework to explain the relationship between the constructs of the study. This study adopts a scenario-based experimental design in two separate studies within contexts to examine the proposed hypotheses.

The results revealed that UGC is a stronger predictor of online brand advocacy than FGC. A mediation analysis supported that the effect of digital content marketing types on online brand advocacy occurs because of customer engagement. Further, when the brand was familiar, participants showed a higher level of online brand advocacy than when they were exposed to FGC (vs. unfamiliar brand), whereas the effect of familiar and unfamiliar brands on online brand advocacy remains slightly close to each other when the participants were exposed to UGC. Brand familiarity positively enhanced participants’ engagement when they were exposed to UGC. Further, customer engagement is only a significant mediator when the brand is unfamiliar.

This paper presents significant managerial implications for hospitality companies about how they can effectively enhance brand advocacy in the online medium.

This research provides a novel contribution by examining the differential impact of UGC and FGC on online brand advocacy as well as uncovering the underlying mechanism of how and under what conditions user- and firm-generated content promotes online brand advocacy in the hospitality context.

The purpose and current research objective is to determine sustainable hotel performance through hotel environmental management initiatives (HEMI) with the mediating influence of employee’s’ eco-friendly behaviour (EEB), and to determine the moderating role of environmental strategies (ES) in the relationship between HEMI and EEB.

A total of 95 five-star hotels were contacted, with data collected from only 30 of them. The study used only 433 questionnaires for the final analysis with SPSS 25.0 and SmartPLS 3.2.8.

The results revealed that HEMI is positively associated with sustainable hotel performance and with EEB. EEB is positively associated with sustainable hotel performance. ES significantly influence EEB, and significantly strengthen the relationship between HMEI and EEB. EEB significantly mediates the relationship between HEMI and sustainable hotel performance.

The current research highlights a significant issue: how the management of the hotel industry uses HEMI, ES and EEB to improve sustainable performance. The study fills the gap in the literature and enables hotel management to concentrate on studying exogenous variables to increase sustainable performance.

The current research contributes to the body of knowledge by concentrating on factors that influence sustainable hotel performance. It examines HEMI influence on sustainable performance with moderating (ES) and mediating (EEB) effects, from the leans of natural resource-based view (RBV) theory.

The purpose of this paper is to examine the impact of corporate social responsibility (CSR) on customer relationship quality (RQ) based on three main aspects of RQ, namely, satisfaction, trust and commitment.

A quantitative meta-analysis of 80 unique effect sizes reported in 60 articles (n = 27,805) was conducted to determine effect sizes of the relationship between CSR and the aspects of RQ of the customer. Furthermore, the economic development has been examined as potential moderators between CSR and RQ.

Meta-analysis suggests that a positive relationship between CSR and the three studied aspects of RQ is well established; however, the strength of studied relationships has revealed variations in magnitude. Customer commitment was affected by CSR (r = 56) the most, closely followed by customer trust (r = 0.52), while customer satisfaction (r = 0.44) was affected the least. Moreover, the result of meta-regression shows that the economic development moderates only one relationship, CSR and trust.

Presenting a summary of the direction of primary research on the relationship between CSR and RQ, as no prior meta-analysis on the primary relationship has been conducted till date (to the best of the authors’ knowledge).

Synthetic advertising, which involves creating or modifying ads through artificial intelligence (AI) technology, has recently transformed the field of media and advertising. Despite its emerging importance, our understanding of consumer perceptions in this context is limited. This study is one of the first to explore the impact of synthetic advertising on consumer behavior.

Across two between-subject experimental studies, using coffee shop customers in the USA, we tested how, why and when awareness of falsity in AI-generated corporate social responsibility (CSR) ads affects online brand engagement.

In Study 1, awareness of falsity in AI-generated CSR ads negatively impacts online brand engagement, with perceived sincerity mediating this relationship. Additionally, a higher level of CSR authenticity mitigates the negative effect of awareness of falsity on online brand engagement. CSR authenticity does not moderate the mediation effect of perceived sincerity in the relationship between awareness of falsity and online brand engagement. In Study 2, the relationship between awareness of falsity and online brand engagement is moderated by brand familiarity. Importantly, perceived sincerity only mediates this effect for unfamiliar brands, not familiar ones.

This study provides key insights for managers using AI to promote CSR initiatives. While AI can save time and budget, it may lead to negative consumer reactions due to perceptions of insincerity. To mitigate this, companies should focus on enhancing the authenticity of their CSR efforts and humanizing AI-generated ads. Additionally, established brands should be cautious of reduced consumer engagement with AI-generated content, while unfamiliar brands can benefit by emphasizing sincerity in their messaging.

This paper is one of the first studies that discuss how, why and when awareness of falsity in AI-generated corporate social responsibility ads affects online brand engagement.

This study investigated the impact of the perceived Augmented Reality (AR) social experience of restaurant menus on two types of prosocial behaviors: brand positivity and brand information sharing.

This study adopts the expectancy-value model as a framework, drawing on the cognitive load, self-determination, and media richness theories. Using a sample of 879 participants from the United States, the research model was tested using structural equation modeling (PLS-SEM).

The findings indicate that the social experience derived from using AR menus significantly predicts brand positivity and brand information sharing. The perceived usefulness of AR mediates this relationship. Moreover, AR reality congruence acts as a significant mediator between perceived AR social experience and brand positivity but not brand information sharing. The positive relationship between AR social experience, brand positivity, and brand information sharing is sequentially mediated by AR reality congruence and AR usefulness.

This groundbreaking research pioneers a fresh perspective, delving into the impact of AR social experiences on consumers' prosocial behaviors, specifically brand positivity and information sharing. Unravels intricate mechanisms, shedding light on how and under what circumstances AR social experiences foster positive behaviors within the dynamic realm of food services and restaurant settings. This study provides valuable insights for restaurant managers and marketers to leverage AR technology to create engaging and immersive customer-dining experiences, a concept that has not been thoroughly explored in previous studies.

The primary aim of this study is to identify and analyze the key digital transformation areas and determine their impact on technological unemployment in the textile sector. In addition, this study explores whether digital transformation contributes to neo-Luddism or Robot Breaking.

The advent of digital transformation has raised significant concerns, particularly concerning technological unemployment. This study focuses on conducting an analytical hierarchical process (AHP) analysis to determine the impact of different disciplines within digital transformation on technological unemployment. The investigation specifically delves into the ongoing transition to Industry 4.0 within the textile industry. This study uses a mixed-method approach, consisting of a literature review, bibliometric analysis, eight expert phenomenological interviews, and AHP.

This study revealed that artificial intelligence, machine learning and deep learning are the most crucial disciplines that will affect the concept of neo-Luddism. The fact that technological unemployment in the textile sector is examined with AHP Analysis makes this study unique.

This study contributes to Industry 4.0 literature by examining the nexus of technological unemployment in textile manufacturing and the emergence of neo-Luddism.