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As a smart service, location-based advertising (LBA) integrates advanced technologies to deliver personalized messages based on a user’s real-time geographic location and needs. However, research has shown that privacy concerns threaten the diffusion of LBA. This research investigates how privacy-related factors (i.e. LBA type, privacy self-efficacy (PSE) and consumer generation) impact consumers’ value-in-use and their intention to use LBA.

This study developed and examined an LBA value-in-use framework that integrates the role of LBA type, consumers’ PSE and consumer generation into the technology acceptance model (TAM). Data were collected through two experiments in the field with a total of 374 consumers. The proposed relationships were tested using PROCESS modeling.

The results reveal that pull (vs push) LBA causes higher value-in-use in terms of perceived usefulness and perceived ease of use, leading to greater usage intention. Further, the differences in the mediated relationship between pull- and push-LBA are larger among consumers of low PSE (vs high PSE) and Generation Z (vs other generations). The findings suggest that the consumer value-in-use brought about by LBA diminishes when using push-LBA for low PSE and Generation Z consumers.

This research is the first to integrate the privacy-related interactions of LBA type and consumer characteristics into TAM to develop a TAM-based LBA value-in-use framework. This study contributes to the literature on service value-in-use, smart services and LBA by clarifying the boundary conditions that determine the effectiveness of LBA in enhancing consumers’ value-in-use.

The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service work by enhancing wages, working conditions and development opportunities while SDG 9 calls upon nations to construct resilient infrastructures, promote inclusivity and sustainability and foster innovation.

This study uses a bibliometric review to extract important themes from a variety of scholarly journals.

Researchers tend to investigate policy-level topics, such as national and international standards related to working conditions, while ignoring the experiences or well-being of workers occupying marginalized and low-opportunity roles in service organizations. Service researchers, educators and practitioners must collaborate to improve the state of service industries by conducting participatory action research, promoting grassroots organizing/advocacy, implementing digitized customer service and addressing workforce soft skills deficiencies.

The authors consider how service work can be transformed into respectable employment and present four specific ways nations can enhance their service industries.

Economic planners can view SDGs 8 and 9 as a framework for understanding and promoting the well-being of service employees and accelerating the productivity and innovation levels of the service sector.

The United Nations’ SDGs are examined from a services perspective, which increases their significance in service-dominated economies.

This study aims to present the evolution of decent work studies. Findings point to several directions for future research efforts, including conceptualizing decent work and the pandemic’s associated impact. Results will help to guide government authorities to promote decent work by delivering fair income, increasing the stability and security of employment and monitoring employees’ work-life balance.

This review consists of knowledge mapping based on keywords from multidisciplinary studies on decent work and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model on tourism and hospitality studies. First, keyword knowledge mapping was conducted in VOSviewer, resulting in 667 papers. Then, a PRISMA model generated a systematic review of the literature in tourism and hospitality based on 41 papers.

Knowledge mapping revealed six thematic clusters, namely, Labor Rights and Gender Equality, Sustainability and Health, Psychology of Working Theory, Conceptualization of Decent Work, Marginalized Groups and Unemployment and Job Quality. According to the PRISMA model, the conceptual evolution of decent work in tourism and hospitality can be divided into three stages: initial (1999–2008), emerging (2009–2018) and development (2019–present).

Based on the findings, further interdisciplinary research into decent work is recommended. Scholars in the tourism and hospitality sector can incorporate other fields of decent work, such as psychology, to broaden the lens of studies to discover the role of meaning and purpose in the workplace and to promote the concept to its fullest extent. Furthermore, employees’ assessments of decent work might help businesses improve human resources management via corporate social responsibility measures.

To the best of the authors’ knowledge, this study is the first systematic review of decent work in tourism and hospitality. It shows that this notion is in its infancy, as most studies on the topic thus far have been empirical and descriptive. Nonetheless, most findings contribute to knowledge and practice by clarifying industry employment conditions.

This study aims to review the progress of research on artificial intelligence (AI) relating to the hospitality and tourism industry, focusing on the content, focal points, key terms and trends of AI research.

A total of 491 referred papers are selected from the Web of Science core collection database. These papers, published in the past 30 years (1991–2021), are analyzed by using Gephi and VOSviewer software.

AI research shows a growing trend since 1991, and the number of publications and citations increased significantly since 2018, indicating that AI became a focus for researchers. AI studies are grouped into four clusters, namely, AI technology, technology acceptance, customers’ perception and future trends. The research focus changed from AI technology in the early stage to customers’ attitudes toward and willingness to accept AI.

The findings contribute to advance knowledge development, identify research gaps and shed light on future research. The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

The results offer practical enlightenment for governments, tourism destinations and hospitality organization.

This study is the initial attempt to provide a systematic review of AI research relating to the tourism and hospitality fields.