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Service providers and tourism players have introduced the green hotels concept to mitigate detrimental environmental impact. This study aimed to review the literature on green hotels based on bibliometric analysis.

In analyzing the potential and significant subject of the tourism industry and concern on environmental issues, this study evaluates the themes based on the past, present and future trends in green hotels from a bibliographic database retrieved from the Web of Science (WoS).

Several themes were identified from the role of the theory of planned behavior and predictors of consumers' intention to visit green hotels.

Implications were discussed mainly related to green hotels contribution towards sustainable tourism and its role in shaping the tourism sector's landscape. Among the practical implications include rewards by the authorities in the form of incentives or tax relief to green hotel operators, which will encourage conventional hotel transformation into green hotels. Furthermore, green hotels will be at the forefront of tourism and hospitality brands, requiring substantial green marketing initiatives. Sooner or later, opting for green hotels while traveling will be the norm among travelers.

The green hotels have emerged as a way to tackle the environmental issues related to tourism and hospitality while at the same time, allowing the industry to flourish. This research is one of the scant studies that provide a comprehensive overview about green hotel studies and offer future research agendas.

The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange theory to investigate how streamer- and product-centered signals influence customers’ likelihood of making an impulsive purchase in the live-streaming commerce context.

An online survey was designed and distributed to the target respondents in China using purposive sampling. A total of 735 valid responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Both streamer-centered signals, i.e. streamer credibility and streamer interaction quality, were discovered to significantly influence product-centered signal, i.e. product information quality. Additionally, streamer interaction quality was found to have a significant impact on streamer credibility. Furthermore, it was observed that customer engagement played a significant mediating role in the relationship between product information quality and impulsive buying tendency. Moreover, the paths between product information quality and customer engagement, as well as the connection between engagement and impulsive buying tendency, were found to be moderated by guanxi orientation.

Despite the prevalence of impulsive purchases in live-streaming commerce, few studies have empirically investigated the impact of streamer and product signals on influencing customers’ impulsive purchase decisions. Consequently, to the best of our knowledge, this study distinguishes itself by offering empirical insights into how streamers use reciprocating relationship mechanisms to communicate signals that facilitate impulsive purchase decisions.

This article introduces the Responsible AI for Service Excellence (RAISE) framework. RAISE is a strategic framework for responsibly integrating AI into service industries. It emphasizes collaborative AI design and deployment that aligns with the evolving global standards and societal well-being while promoting business success and sustainable development.

This multidisciplinary conceptual article draws upon the United Nations' Sustainable Development Goals (SDGs) and AI ethics guidelines to lay out three principles for practicing RAISE: (1) Embrace AI to serve the greater good, (2) Design and deploy responsible AI and (3) Practice transformative collaboration with different service organizations to implement responsible AI.

By acknowledging the potential risks and challenges associated with AI usage, this article provides practical recommendations for service entities (i.e. service organizations, policymakers, AI developers, customers and researchers) to strengthen their commitment to responsible and sustainable service practices.

This is the first service research article to discuss and provide specific practices for leveraging responsible AI for service excellence.

The growing implementation of electronic health (e-health) systems has raised the importance of analyzing how these systems have been implemented in diverse regions. By employing a contextual sensitive approach and social mechanism theory, this study aims to better understand the reasons for the success and failure of e-health initiatives in the ex-Yugoslav region and derive useful insights for policymakers.

We employ a narrative review process grounded in the social mechanism theory, extended with field experts’ review, to acquire state-of-the-art information.

Findings indicate that different e-health systems coexist and evolve in different contexts in different countries, with varying levels of success. The contextual differences shape the broader environment, affecting the level of preparedness and capability for e-health implementation. Top-down approaches dominate e-health implementation in most countries when it comes to design process features, and more developed countries do not rely on strong social mechanisms for implementing e-health due to the openness of their culture towards e-health innovations.

Analyzing the milestones, challenges and functionalities of e-health systems in the region of interest can assist policymakers, academics and practitioners in making informed decisions and recommendations to enhance future e-health implementation.

No known studies evaluated e-health initiatives in the former ex-Yugoslav countries holistically and evolutionarily in the form of a comprehensive regional study. Further, our research endeavor is contextually specific since the health systems of these countries in the past were tied together under the federative umbrella health system and then diverged in terms of e-health development.

Diagnostic overshadowing (DO) may be contributing to the worsening physical health outcomes for people diagnosed with mental health (MH) conditions. DO is a phenomenon researched worldwide, but there has been no systematic review of the evidence for its prevalence in UK health care. This paper aims to add to this body of knowledge, expanding the understanding of what factors are contributing to the poor physical well-being of people with diagnosed MH conditions.

A systematic search of three databases was conducted and after evaluation, three studies were selected for the review.

DO was found to have a high prevalence with structural, staffing and patient issues identified through a thematic analysis. Contemporary evidence shows themes identified are still impacting UK health care. Collaborative working across mental and physical health teams, thorough and lengthy assessments, and improved education for physical health care staff have been cited as mitigating factors to this practice.

To the best of the author’s knowledge, this paper is the first review of the evidence for diagnostic overshadowing taking place in UK health care.

The main objective of this study is to determine the factors that have the greatest impact on travelers' opinions of airports.

11,656 customer reviews for 649 airports around the world were gathered following the COVID-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the hypothesis.

The results showed that people’s intentions to recommend airports are significantly influenced by their opinions of how well the servicescape, staff, and services are.

By encouraging air travelers to have positive intentions toward recommending the airports, this research offers airport managers decision-support implications for how to improve airport service quality. This will increase the likelihood of retaining more passengers.

This study also suggests a quick-to-implement visual decision-making mechanism based on PSEM that is simple to understand.

This paper seeks to deepen and improve our understanding of business ethics in services by developing a typology that reconciles and integrates disparate and often conflicting ideas and viewpoints while providing practical guidance for ethical decision-making.

The paper examines current theoretical approaches in ethics to provide an understanding of the ethical theories, how they have been applied and how they have evolved in businesses and marketing. It discusses conceptual issues related to ethical dilemmas and the available typologies.

Based on the axioms of the Triple-A Framework for Ethical Service Research, the Typology of Ethical Dilemmas in Services (TEDS) is proposed. The typology identifies three types of dilemmas based on four dimensions considering all service interactions guided by normative ethics (virtue, deontological and consequentialism).

The proposed DILEMMAS process illustrates the practical application of TEDS.

This paper extends the ethics and services literature by offering a novel theoretical and practical approach to addressing ethical dilemmas. TEDS is authentic, advances our knowledge and applies to all service organizations that aim to manage ethical dilemmas effectively.

Artificial intelligence (AI) is shaping the future of the marketing world. This study is the first to examine the effect of AI marketing efforts, brand experience (BE) and brand preference (BP) in light of the stimulus-organism-response (SOR) model.

The data collected from 398 participants by the questionnaire method were analyzed by SEM (structural equation modeling) using Smart PLS 4.0 and IBM SPSS 26 programs.

We find that four SOR elements of AI marketing efforts (information, interactivity, accessibility and personalization) positively impact bank customer BE, BP and repurchase intention (RPI). Further, we find that BE plays a mediator role in the relationship between AI marketing efforts, RPI and BP.

The findings of the study have significant implications for the bank marketing literature and the banking industry, given the limited evidence to date regarding AI marketing efforts and bank–customer relationships. Moreover, the study makes important contributions to the AI marketing and brand literature and helps banks increase customer experience with artificial intelligence activities and create long-term relationships with customers.

This paper aims to evaluate the accessibility of digital information systems as a key usability attribute in information retrieval by users with visual impairment (VI), to inform development of accessible information systems.

This study used a cross-sectional survey design based on the quantitative research paradigm. Data was collected from 117 students with visual impairments from selected public universities in Kenya, using a semi-structured questionnaire adapted from Web Content Accessibility Guidelines.

This study revealed that gender did not influence screen reader compatibility, alternative format preferences, perceptions of accessible content or digital library navigability. Instead, type of visual impairment, prior assistive technology (AT) training and digital library use frequency significantly impacted these attributes. Blind students reported positive experiences, favouring alternative formats, and expressed positive views on accessible content while those with low vision faced more challenges. Prior training in assistive technology and frequent digital library use resulted in higher screen reader compatibility and better navigability. Increased digital library use was linked to access to alternative content for those with prior assistive technology training.

This study contributes to the existing literature on accessibility of digital information systems for users with visual impairments. Further research is needed to explore other factors that may influence the accessibility of digital systems, such as the design of user interfaces as well as an evaluation of accessibility of digital systems for other categories of disabilities such as hearing impairment, physical impairment, autism and intellectual disability, among others.

The findings of this study have practical implications for the design and development of digital systems such as digital libraries. Developers can leverage findings of this study to enhance compatibility of digital platforms with screen readers and provide alternative formats and accessible content. User-centred design principles can be used to create interfaces that are easy to navigate and friendly to users with visual impairments. Training programmes on assistive technology should be provided to users to enhance their skills and confidence in using digital systems.

This study contributes towards design and creation of navigable systems that are compatible with screen readers. The study also points out the importance of creating more inclusive and usable digital environments for persons with visual impairments.

Previous studies investigating the effects of using social media in the innovation processes of small and medium-sized enterprises (SMEs) yield mixed results, and the conditions for achieving innovation benefits from social media are unclear. The present study seeks to contribute to the understanding of this topic.

With a basis in the literature on open innovation and SMEs, this study develops a model that explains the role of social media in product innovation processes where technological focus and abilities are converted into product innovations. The model is tested through a survey of 305 Danish manufacturing SMEs.

Findings show that SMEs with higher technological orientation (TO) are more inclined to use social media in their product innovation processes and that social media use explains 22.4 percent of the relationship between TO and product innovation performance. On the other hand, the data did not support the assumption that SMEs with high TO achieve higher product innovation benefits than low TO SMEs for similar levels of social media use.

The results suggest that SMEs with lower levels of TO could increase their product innovation performance through increased use of social media in their innovation processes.

The study provides new knowledge on the role of social media in SMEs’ product innovation processes. As the level of TO increases, the use of social media in the innovation process becomes an increasingly important mechanism for deriving the full innovation potential from technological focus and abilities.