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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.

This research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing country.

A quantitative research approach was employed to gather data from 348 respondents through purposive sampling. A comparative analysis strategy was then utilized to investigate the adoption of eco-friendly smart home appliances, combining both linear (PLS-SEM) and non-linear (fsQCA) approaches.

The results obtained from PLS-SEM highlight that performance expectancy, facilitating conditions, hedonic motivation, price value, and environmental knowledge significantly influence the adoption intention of eco-friendly smart home appliances. However, the findings suggest that effort expectancy, social influence, and habit are not significantly associated with customers' intention to adopt eco-friendly smart home appliances. On the other hand, the fsQCA results identified eight configurations of antecedents, offering valuable insights into interpreting the complex combined causal relationships among these factors that can generate (each combination) the adoption intention of eco-friendly smart home appliances among densely populated city dwellers.

This study offers crucial marketing insights for various stakeholders, including homeowners, technology developers and manufacturers, smart home service providers, real estate developers, and government entities. The findings provide guidance on how these stakeholders can effectively encourage customers to adopt eco-friendly smart home appliances, aligning with future environmental sustainability demands. The research implications underscore the significance of exploring the antecedents that influence customers' adoption intention of eco-friendly technologies, contributing to the attainment of future sustainability goals.

The environmental sustainability of smart homes, particularly in densely populated city settings in developing countries, has received limited attention in previous studies. Therefore, this study aims to address the pressing issue of global warming and make a meaningful contribution to future sustainability goals related to smart housing technologies. Therefore, this study employs a comprehensive approach, combining both PLS-SEM (linear) and fsQCA (non-linear) techniques to provide a more thorough examination of the factors influencing the adoption of environmentally sustainable smart home appliances.

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.

Existing research has predominantly concentrated on examining the factors that impact consumer decisions through the lens of potential consumer motivations, neglecting the sentiment mechanisms that propel guest behavioral intentions. This study endeavors to systematically analyze the underlying mechanisms governing how negative reviews exert an influence on potential consumer decisions.

This paper constructs an “Aspect-based sentiment accumulation” index, a negative or positive affect load, reflecting the degree of consumer sentiment based on affect infusion model and aspect-based sentiment analysis. Initially, it verifies the causal relationship between aspect-based negative load and consumer decisions using ordinary least squares regression. Then, it analyzes the threshold effects of negative affect load on positive affect load and the threshold effects of positive affect load on negative affect load using a panel threshold regression model.

Aspect-based negative reviews significantly impact consumers’ decisions. Negative affect load and positive affect load exhibit threshold effects on each other, with threshold values varying according to the overall volume of reviews. As the total number of reviews increases, the impact of negative affect load diminishes. The threshold effects for positive affect load showed a predominantly U-shaped course of change. Hosts respond promptly and enthusiastically with detailed, lengthy text, which can aid in mitigating the impact of negative reviews.

The study extends the application of the affect infusion model and enriches the conditions for its theoretical scope. It addresses the research gap by focusing on the threshold effects of negative or positive review sentiment on decision-making in sharing accommodations.

Culture is considered a critical aspect of social media usage. The purpose of this paper is to explore how cultures and languages influence multilingual users' cross-cultural information sharing patterns.

This study used a crowdsourcing survey with Amazon Mechanical Turk to collect qualitative and quantitative data from 355 multilingual users who utilize two or more languages daily. A mixed-method approach combined statistical, and cluster analysis with thematic analysis was employed to analyze information sharing patterns among multilingual users in the Chinese cultural context.

It was found that most multilingual users surveyed preferred to share in their first and second language mainly because that is what others around them speak or use. Multilingual users have more diverse sharing characteristics and are more actively engaged in social media. The results also provide insights into what incentives make multilingual users engage in social media to share information related to Chinese culture with the MOA model. Finally, the ten motivation factors include learning, entertainment, empathy, personal gain, social engagement, altruism, self-expression, information, trust and sharing culture. One opportunity factor is identified, which is convenience. Three ability factors are recognized consist of self-efficacy, habit and personality.

The findings are conducive to promoting the active participation of multilingual users in online communities, increasing global resource sharing and information flow and promoting the consumption of digital cultural content.

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.

The hotel customers are conscious of the deteriorating environmental conditions and demand for online immersions. Hotels lack an exciting shift in customer behavior for augmented customer re-patronage intention (CRPI) especially in developing countries. This study aims to apply customer-dominant service logic (CDSL) to comprehend customers’ life-sphere contributing to some of the vital United Nations sustainable development goals (UN SDGs). In this essence, CDSL grasps the impact of customer empowerment (CE) and environmental corporate social responsibility (Env CSR) on customer re-patronage intention (C-RPI) with the mediating and moderating effects in Pakistan’s four- and five-star hotels.

A deductive approach is followed in which an online survey of 400 hotel customers was conducted using purposive and snowball sampling techniques to understand the practice of C-RPI and UN SDGs.

This study reveals that executing the UN SDGs in the hotel industry eventually boosts CE and Env CSR, further enhancing online customer value cocreation (O-CVCC) resulting in C-RPI. Both CE and Env CSR gain a complimentary/partial mediation by O-CVCC on C-RPI is also reported. Moreover, sensation seeking moderates the relationship between CE and O-CVCC. Yet, customer commitment does not moderate the relationship between O-CVCC and C-RPI.

This study highlights that C-RPI (i.e. SDG 11) enhances when Env CSR is taken care of (i.e. SDG 13), customers are empowered (i.e. SDG 5 and SDG 17) and cocreated online (i.e. SDG 9). To the best of the authors’ knowledge, this study is one of the first studies to empirically test the approaches in the hotel industry contributing to SDG 5, 9, 11, 13 and 17.

Los clientes de hoteles son conscientes de las condiciones ambientales deteriorantes y demandan inmersión en línea. Los hoteles carecen de un cambio emocionante en el comportamiento del cliente para la intención de repatronaje aumentada (CRPI) especialmente en países en desarrollo. Este estudio aplica la lógica de servicio dominante del cliente (CDSL) para comprender la esfera de vida de los clientes que contribuyen a algunos de los vitales Objetivos de Desarrollo Sostenible (ODS) de las Naciones Unidas (ODS de la ONU). En esencia, CDSL comprende el impacto del empoderamiento del cliente (CE) y la RSE ambiental (Env CSR) en C-RPI con efectos de mediación y moderación en hoteles de cuatro y cinco estrellas de Pakistán.

Se utilizó un enfoque deductivo en el que se llevó a cabo una encuesta en línea a 400 clientes de hoteles utilizando técnicas de muestreo intencional y de bola de nieve para comprender la práctica de RPI y los ODS de la ONU.

Este estudio revela que la ejecución de los ODS de la ONU en la industria hotelera finalmente impulsa CE y Env CSR, y mejora aún más O-CVCC resultando en C-RPI. También se informa que tanto CE como Env CSR obtienen una mediación complementaria/parcial por la co-creación de valor del cliente en línea (O-CVCC) en C-RPI. Además, la búsqueda de sensaciones (SS) modera entre CE y O-CVCC. Sin embargo, el compromiso del cliente (CC) no modera entre O-CVCC y C-RPI.

Este estudio destaca que C-RPI (es decir, ODS 11) mejora cuando se cuida Env CSR (es decir, ODS 13), los clientes están empoderados (es decir, ODS 5 y ODS 17) y co-creados en línea (es decir, ODS 9). Este estudio es uno de los primeros estudios en probar empíricamente los enfoques en la industria hotelera que contribuyen a los ODS 5, 9, 11, 13 y 17.

酒店客户对环境恶化的意识日益增强, 并呼吁进行在线沉浸体验。在发展中国家, 尤其需要酒店采取激动人心的客户行为转变措施,以增强客户再次光顾意向（CRPI）。本研究旨在运用客户主导服务逻辑（CDSL）理解客户的生活领域, 同时为联合国关键的可持续发展目标（UN SDGs）做出贡献。在这一框架下, 研究将探讨客户赋权（CE）和环境 CSR（Env CSR）对巴基斯坦四星级和五星级酒店中 CRP I的调节和中介作用。

本研究采用演绎方法, 结合目的性和雪球抽样技术, 对400名酒店客户进行了在线调查, 以深入了解 RPI 以及UN SDGs 的实践情况。

该研究表明, 在酒店业执行 UN SDGs 最终促进了CE 和 Env CSR, 并进一步增强了O-CVCC, 从而导致了C-RPI的提升。同时, CE和Env CSR在 C-RPI 上通过在线客户价值共创（O-CVCC）获得了互补/部分中介。此外, 感知寻求（SS）在CE和O-CVCC之间起到了调节作用。然而, 客户承诺（CC）在O-CVCC和C-RPI之间没有调节作用。

该研究表明, 在酒店业执行 UN SDGs 最终促进了CE 和 Env CSR, 进而进一步增强了O-CVCC, 从而导致 C-RPI的提升。同时, CE 和Env-CSR 在客户再次光顾意向上通过在线客户价值共创 (O-CVCC) 获得了互补或部分中介作用。此外, 感知寻求 (SS) 在CE和 O-CVCC 之间起到了调节作用。然而, 客户承诺(CC)在O-CVCC和C-RPI之间没有发现调节作用。

该研究强调了在 EnvCSR 受到关注时（即SDG 13）, 客户被赋权时（即 SDG 5和SDG 17）, 以及在线共同创造时（即 SDG 9）会增强客户再次光顾意向（即 SDG 11）。这项研究是第一批在实践中测试了酒店业对 SDG 5、9、11、13 和17做出贡献的方法之一。

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 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.