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To manage heritage cities for locals' needs, a contextualized indicator to measure the sustainability of urban heritage is needed because it is often neglected. This study aims to identify the stakeholders’ perceptions on sustainability indicators of urban heritage sites in Kuala Lumpur and George Town, Malaysia.

This study applied a qualitative method by interviewing stakeholders (governmental, experts and communities) who are involved in urban heritage sites. A thematic analysis is used to group the data patterns into themes.

The existing site management and attention to heritage conservation are varied for both sites. The discussions of the stakeholders on the practicality of indicators, challenges in using indicators and suggestions to improve indicators monitoring provided a richness of concerns for monitoring the sustainability of urban heritage sites in the future. Thus, it is concluded that indicators cannot be generalized and require adaptation to diverse cultural contexts.

Perceptions from local stakeholders can raise concerns when developing indicators in the future. However, this study is only related to two locations with a limited sample size. Deeper conversations or surveys are necessary to identify the criteria for sustaining heritage sites.

This paper reveals the importance of communities’ inclusiveness and their voices for a good urban heritage management policy. Subsequently, it supports the fulfillment towards Sustainable Development Goal 11.4 that highlights the protection of cultural and natural heritage.

The purpose of this study was to examine the relationship between environmental pressure, green logistics strategy (GLS) and sustainability performance as well as the moderating role of competitive intensity in the relationship between environmental pressure and GLS in the context of the Ghanaian Manufacturing firms.

The study included a thorough review of the literature and an empirical questionnaire-based data collection with responses from 220 participant manufacturing firms in Ghana. The data collected was statistically analysed using the PLS-SEM software.

The findings of the study indicated that environmental pressure positively influences the implementation of GLS. Again, it was revealed that there is a significant relationship between GLS and sustainability performance. Likewise, the study also found that environmental pressure significantly influences sustainability performance. Also, competitive intensity was found to moderate the relationship between environmental pressure and GLS.

This study gives insight into GLS and sustainability performance and also suggested that when managers in manufacturing industries adopt green practices as a result of environmental pressure, sustainability performance will be achieved. The geographic scope of the study area and time constraints were some of the research's limitations.

Although there have been studies carried out on the subject of green logistics, this study is the first of its kind to examine the relationship between environmental pressure, GLS and sustainability performance within the context of developing economies such as Ghana. Also, this study shows how intense competition in the market can moderate the adoption of GLS.

The purpose of this research is to identify not only the potential but also the limitations of Google reviews compared to TripAdvisor that may help researchers select the more appropriate information source.

The 10 most visited museums and theme parks in Europe were selected for this study. A total of 23,756 theme park reviews and 22,750 museum reviews were extracted from Google and TripAdvisor in November 2022 using the Octoparse tool. In a second round of data collection, reviews on Easter week 2023 were collected for the same destinations.

TripAdvisor offers a more comprehensive and accessible source of information compared to Google. However, the findings clearly indicate that Google has greater potential to accumulate reviews. The data also confirms that destinations tend to have higher ratings on Google than on TripAdvisor.

The research identifies a critical limitation in Google’s review system – a cap of 1,140 viewable and downloadable reviews per destination – posing a significant hindrance to researchers.

To the best of the authors’ knowledge, this is the first study providing a reasoned explanation for the limited scientific literature in tourism that uses Google reviews as a database. It offers a balanced comparison between TripAdvisor and Google that allows researchers to make a more reasoned decision regarding which information source to use depending on the study focus, the method and the data to be collected.

This study aims to delve into the cultural differences between developing and developed countries pertaining to the negative behavioral fallouts of adopting anthropomorphized humanoids or robots. The underlying motivation (for the study) lies in the fact that these countries are at the vanguard of artificial intelligence development and deployment, albeit with varying levels of development and acceptance.

The research framework used in this study is guided by the computers as social actors framework, expectancy disconfirmation theory and is supported by the uncanny valley theory. The data was collected in two contexts using probabilistic sampling technique, N= = 782 (n₁ = 393 respondents: developed country i.e. USA and n₂ = 389 respondents: developing country i.e. India). The partial least square analysis was carried out for the proposed model’s validation and hypotheses testing.

This study shows that in developed countries, the consumers have high preinteraction expectations while they express comparatively more dark behavior than respondents from developing countries. Consumers in developed countries focus on anthropomorphic knowledge and design cues, while in developing countries, they pay attention to utility and functionality. Finally, the results also suggest that female respondents from developed countries exhibit more resilience toward anthropomorphized agents in adopting and expressing dark behavior.

The present research makes essential contributions to anthropomorphism literature. First, this study explored impact of the interaction effect on the dark side, a rather under-explored domain in regret literature. Second, this study provides evidence for cross-cultural variations pertaining to the dark side impacts. Finally, this study adds to impact of demographic variables, showing that gender played a significant role in moderating relationships in the proposed model.

This research aims to offer and empirically examine a research model that includes extrinsic cues, attitudes and purchasing intentions for non-private-label (PL) buyers from a developing economy perspective. It also seeks to test the moderating role of neophobia along with gender.

Data were received from 640 non-PL buyers via a cross-sectional online questionnaire. The study utilised structural equation modelling to examine the relationships among the study constructs.

Extrinsic cues, particularly perceived price and store image, along with attitudes, impact the intention to buy PLs. Furthermore, the moderating role of neophobia was supported.

This study is limited to the Egyptian retail sector, so its findings reflect the degree of development of PLs in Egypt. Practical implications should be adopted for contexts with identical development levels.

Retail managers should focus on pricing promotions and enhancing their store image to appeal to non-PL shoppers. They should also consolidate their efforts to counteract neophobic tendencies among non-PL shoppers by maximising exposure to PLs and encouraging their trials.

This research offers empirical evidence of the role of neophobia, further enriching our understanding of Middle Eastern consumer behaviour and supporting the implications of extrinsic cues on PL purchase intention for non-PL buyers in developing economies. It supplements earlier research, which mainly focused on developed economies.

By anchoring on the ability-motivation-opportunity (AMO) framework, this research aims to examine the effect of tourists' green ability, motivation and opportunity to access green information on digital media platforms (green AMO) on their intention to stay at green hotels. The study also tests the moderating role of environmental concern and the mediating role of green attitude in this relationship.

An online survey was conducted on large Facebook groups and by an international tour operator in March 2022. Through convenience sampling, 600 responses were collected from local and international tourists. Partial least squares structural equation modeling was performed to validate the research model.

The results reveal that tourists' intention to stay at green hotels is positively affected by their green AMO through indirect and direct channels. Specifically, green AMO indirectly effects tourists' intention to stay at green hotels by raising their green attitude. The results also indicate that the direct effect is moderated by environmental concern.

The findings demonstrate the importance of facilitating tourists' access to environmental information on social media platforms, which enhances green attitude and intention to stay at green hotels. This study also proposes practical solutions that managers of green hotels can employ to target green-oriented customers and conduct environmental campaigns on digital platforms.

The research is the first to investigate the effects of tourists' green AMO on their intention to stay at green hotels. It is also the first to explore the roles of environmental concern and green attitude in this relationship.

This study aims to explore the impact of Own, Others and Outer influences (O3) on green purchasing behaviour in e-commerce. The study uses the O ZONE model and Stimulus–Organism–Behaviour–Consequence (SOBC) framework to analyse the impact of green intentions, green product awareness and green self-efficacy.

This study collected data from 405 respondents through a self-administered questionnaire and analysed the data via partial least squares structural equation modelling and necessary condition analysis using the software SmartPLS.

The findings indicate that O3 factors significantly affect green product awareness among consumers, with “Own” having no impact in ecommerce. Furthermore, this study found that green self-efficacy fully mediates the relationship between green product awareness and purchasing intentions. Interestingly, the results suggest that e-commerce recommendations (others) and marketer persuasion (outer influence) have a greater impact on green product awareness, which in turn influences green buying intentions via green self-efficacy, compared to personal knowledge (own). Finally, it shows that green purchase intentions lead to green buying behaviour.

This study helps to understand how to create green product awareness through information transfer and ways to enhance green self-efficacy to motivate green buying behaviour. Hence, it offers valuable insights for practitioners, policymakers and managers in green and digital marketing, highlighting the importance of effective knowledge transfer to enhance green consumer behaviour. Marketers can better understand the factors influencing consumers’ awareness of green products, such as personal knowledge, online reviews, recommendations from e-commerce websites and marketing campaigns.

The findings add new insights to the existing knowledge of green purchasing behaviour in e-commerce by highlighting the importance of understanding the factors that influence consumers’ green product awareness and self-efficacy. In addition, it underscores the relative impact of O3 factors on green purchasing behaviour, aiding the development of effective marketing strategies promoting green products in ecommerce platform.

Highlighting the ever-evolving nature of the e-commerce industry, this study stresses the importance of staying abreast of trends for marketer success. It reiterates the significance of adapting strategies to align with emerging industry practices and consumer preferences.

This study addresses tourists' post-consumption perspectives on the impact of online destination experiences and animosity on travel decisions. Developing a framework based on the stimulus-organism-response (SOR) theory, we examine the previously unexplored relationship between post-negative events, online destination brand experience (ODBE), tourists' animosity and destination boycott intentions within the domestic tourism context.

Data from 355 actively engaged domestic travelers in Pakistan who follow destination social media pages (i.e. Instagram and Facebook) was analyzed using structural equation modeling.

The findings reveal that post-negative events ODBE significantly stimulate tourists' animosity, which in turn drives destination boycott intentions. The ODBE indirectly affects boycott intentions through animosity, acting as a partial mediator. The analysis highlights the significance of the users' prior experience levels (novice vs experienced). Multigroup analysis shows that novice visitors are more sensitive to negative online experiences, resulting in stronger animosity than experienced visitors. Animosity significantly drives boycott intentions, particularly among experienced visitors.

This study’s novelty lies in its comprehensive examination of post-negative events, focusing on how the ODBE influences tourists' negative emotions and boycott intentions. These findings offer valuable insights for tourism researchers and destination marketers, underscoring the importance of optimizing post-service failure ODBE strategies for brand repair, online reputation management, digital marketing innovation and customized service recovery to mitigate the impact of negative events.

This study aims to assess how undergraduates’ exposure to entrepreneurship education (EE) may increase their volitional desire and behavioral control to start-up a business.

The model establishes three different paths from EE to entrepreneurial intention (EI): attraction and passion through desire and confidence through control. These paths are assessed by partial least-squares structural equation modeling in a sample of 650 undergraduates from Poland, Turkey and Portugal.

The most effective way by which EE may increase EI is by promoting a favorable change in the attractiveness of the entrepreneurship career. Contrary to expectations based on the literature, the effects of EE on perceived behavioral control are weak and limited to aspects related to financial control.

EE programs should consider desire and control in different phases of training, with the following learning outcomes: explore prospective rewards of an attractive entrepreneurial career, develop self-efficacy regarding management competences and gain control by assuring skills to cope with failure.

To the best of the authors’ knowledge, this study is the first to establish a path from EE to EI through passion and desire. It is also the first to consider entrepreneurial passion as a positive anticipated emotion in the model of goal-directed behavior. The results allow to relate the different paths with different learning outcomes of EE programs.

This study aims to explore how engagement with AI mediates the relationship between AI adoption in tourism and the resulting smart experiences, which ultimately foster both smart tourism love and perceived happiness among tourists.

Data were collected from 622 domestic Thai tourists aged 19 and above who visited Khon Kaen Province within the past three months and used AI-powered tools for tourism. The hypothesised model was tested using structural equation modelling (SEM) through a two-step approach.

The study reveals that the successful integration of AI in tourism largely depends on the depth of tourists’ engagement with these technologies. Greater engagement fosters enriched smart experiences and stronger emotional bonds.

This study utilises the stimulus-organism-response (S-O-R) model to examine the impact of AI adoption on tourist behaviour, making substantial theoretical contributions to the expanding body of literature on AI in tourism.

Tourism operators and policymakers should prioritise fostering meaningful engagement with AI technologies to enhance tourist experiences and strengthen emotional connections to destinations, aligning with Thailand’s digital transformation initiatives.

This study emphasises the crucial role of engagement with AI – rather than mere adoption – in shaping smart tourism experiences and emotional outcomes, thereby contributing to the literature on AI in tourism.