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The fundamental mission of every green city is to harmonize urban living with environmental preservation. However, a critical challenge arises when the residents of such cities do not share the same level of environmental consciousness, potentially eroding the integrity of the green city’s brand identity. Hence, this study aims to explore the factors influencing residents’ identification with green city branding and assesses how this identification subsequently affects their green citizenship behaviors.

A survey of 1,217 residents from 15 green cities across six countries was conducted and analyzed using SPSS 28.0 for descriptive statistics and PLS-SEM for measurement and structural model analysis.

The results indicate that green city-self connection, green city distinctiveness and environmental benefits significantly impact GCRI, which, in turn, significantly influences green city protection, loyalty and advocacy behaviors. However, green city social and economic benefits did not affect resident identification.

The results of this study provide valuable managerial insights for city brand managers, green city developers and governmental representatives. The study underscores the importance of considering residents as crucial internal stakeholders in the creation of a green city identity that effectively promotes sustainable urban living and an eco-friendly culture.

This study provides theoretical insights into the relationship between green identification and residents’ willingness and commitment to act as ambassadors and promote their city’s green values.

Smart banking services (SBS) are critical for developing countries to achieve developmental goals. The success of SBS is dependent on the considerable perceived customer experience of provided services. Based on technology adoption studies, this study aims to model smart customer experience (SCE) outcomes by investigating the relationships between SCE, customer gratitude, continuance intentions and positive word-of-mouth (P-WOM).

The current research included 384 bank clients as participants. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

According to the findings, SCE directly increases customer gratitude, continuance intention to adopt smart services and P-WOM. Customer gratitude enhances continuance intentions and P-WOM. Additionally, customer gratitude mediates the relationship between SCE, continuance intention and P-WOM. Finally, the findings revealed that customer innovativeness and optimism play a substantial moderating impact among the variables studied.

This is the first research to include all of these variables. Furthermore, to the best of the authors' knowledge, this is the first empirical study of these linkages in the banking sector of emerging nations.

This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty.

Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design.

The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty.

As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty.

The e-services market is expected to reach nearly $500bn globally by 2028. As this marketplace grows, customer-to-customer interactions (CCIs) occurring through virtual channels will likely increase. Consequently, the purpose of this research is to examine how the context in which CCI’s occur (i.e. virtual vs in-person) and the frequency of their occurrence affects customer identification, leading to increased customer engagement and more favorable purchase behaviors.

Two studies were conducted to test the proposed models and hypotheses. The sample for Study 1 is comprised of college students taking in-person or online classes (n = 290). In Study 2, members of an online brand community (n = 125) were surveyed. Hypotheses were tested using structural equation modeling (SEM).

Overall, results support a mediation effect such that CCI context (virtual vs in-person) affects customer engagement and purchase behaviors via customer identification. Specifically, Study 1 finds that customer engagement behaviors (CEBs) are greater for in-person CCIs due to the frequency of interactions and heightened identification between customers. Study 2 further examines the CCI frequency-identification link and finds that customer-firm identification is the only form of identification that affects CEBs and purchase behaviors.

Limited customer engagement research has examined the effects of CCIs on CEBs, and research has rarely compared in-person to virtual CCI contexts. This paper addresses these shortcomings by testing the effects of in-person and virtual CCIs on CCI frequency, identification and CEBs. This research fills another important gap in the literature by considering the unique effects of specific dimensions of customer identification on CEBs and purchase behaviors.

Users frequently target rival brands through direct criticism or indirect customer insults, yet the impact of such attacks on brand advocacy remains unexplored. The purpose of this study is to classify online attacks into brand-targeted attacks and consumer-targeted attacks and further investigate their differential impacts on brand advocacy and the underlying mechanism and a boundary condition of those impacts.

Three experimental studies using different types of brands (electronics, universities and sports footwear) are conducted to examine the effects of brand-related attack targets on brand advocacy.

This research shows that consumer-targeted attacks trigger higher brand advocacy through increasing perceived identity threat than brand-targeted attacks. Moreover, the effect of consumer-targeted attacks (versus brand-targeted attacks) on brand advocacy is mediated by perceived identity threat and mitigated when consumers’ identification with the attacked brand is strong.

The study’s findings yield practical applications for marketers and brand managers, assisting them in understanding consumers’ reactions to brand attacks. This study serves as a reference for firms to consider leveraging the association between brand identification and brand-related attack targets and uniting with loyal brand fans to manage online brand conflicts.

The present study extends prior literature on customer-brand relationships in the context of online attacks. Through investigating the impacts of brand-targeted and consumer-targeted attacks on brand advocacy, this research offers theoretical insights into consumers’ responses to online attacks with different targets.

The retail landscape is dramatically changing due to a series of socio-economic and technological challenges, which can be faced through the adoption of smart technologies. Accordingly, a significant number of publications in this field have been produced, albeit with fragmented results. Therefore, this paper aims at both providing a clear and organised overview of the main smart technologies for physical retailing, in terms of application fields and expected impact, while identifying the major shortcomings and future research avenues.

The research conducts a systematic review of the literature concerning the assimilation of smart technologies within physical retail environments, resulting in the analysis of 103 papers published from 2005 to 2023. The review highlights (1) the main smart technologies employed in retail stores, (2) their application area and (3) the beneficiaries of their adoption. Accordingly, these three aspects are initially assessed independently and then examined in combination.

The analysis presents a comprehensive list of 16 key technologies (what) that can support a wide range of processes, spanning from back-end functions to front-end activities, also enabling the connection with online channels (where), catering several and different benefits (why) to both customers and retailers (who). Besides, the research points out many uncovered topics that could be addressed by the academic community.

To the best of the authors’ knowledge, the review is the first one in the literature offering a thorough and organised overview of the different available technologies for in-store application and their impact on physical retail processes.

This study assesses whether the strategic orientation of financial institutions to provide value to customers influences the dimensions of personal data privacy perceived by consumers of banking services. We also analysed whether these dimensions directly influence the value in use and, indirectly, the reputation of financial institutions.

Based on the literature, a model was developed to verify the proposed relationships. To test the model, we collected data via an online questionnaire from 2,422 banking customers, with analysis using structural equation modelling with partial least squares estimation.

The results suggest that strategic value orientation tends to have a direct positive influence on the constructs knowledge, control, willingness to value privacy and trust in sharing personal information and a direct negative influence on the personal data privacy experience. Three dimensions of personal data privacy (knowledge, willingness to value privacy and trust in sharing personal information) tend to have a direct positive influence on value in use. The results showed that the dimensions of personal data privacy experience and control had a significant and negative impact on the value in use construct. Another finding is the positive influence of value in use on organizational reputation. Investing in strategic value orientation can generate consumer perceptions of personal data privacy, which is reflected in the value in use and reputation of banks.

This study is theoretically original because it brings up the organizational reputation of financial institutions based on the strategic orientation to offer value to customers, personal data privacy and the value in use of banking services. The study of these relationships is unprecedented in the literature.

This study explores how predictor variables (value congruence and customer–AI-assisted exchanges) lead tourism businesses to meet customer needs through contactless technology and enhance their willingness to pay more.

The research model was designed from the perspective of consumer-brand relationships and acceptance of AI device use. This study collected and analyzed 647 valid questionnaires using the structural equation modeling (SEM) approach.

The findings indicate that value congruence and customer-AI-assisted exchanges (CAIX) affect intimacy. Intimacy affects satisfaction and the willingness to pay more for contactless technological services. Moreover, brand trust and sensory brand experience play a role in moderating contactless technological services.

Effective interactions between customers and AI-assisted services significantly contribute to overall satisfaction. When AI systems can understand and respond appropriately to customer queries, needs, and preferences, they enhance customer experience and satisfaction levels, increasing overall customer satisfaction with AI services.