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The purpose of this paper is to reveal the knowledge evolution process, research hotspots and future trends in the inclusive tourism research literature from 2008 to 2023.

A total of 322 papers on inclusive tourism were selected from the core collection database of Web of Science and analyzed using CiteSpace.

Over the 16-year period between 2008 and 2023 an increasing number of studies have been published concerning inclusive tourism, but the overall base is still small. Among institutions, the Massey University and University of Gothenburg take the lead in international research on inclusive tourism. Country cooperation shifted from UK-centered in 2008 to Australia, US and Spain from 2010, expanded to more nations and recently increased with China, Japan and others. The essence of inclusive tourism is inherently linked to societal and generational development, necessitating the elimination of social exclusion and inequality to achieve sustainability. The research on inclusive tourism has undergone three stages, emphasizing tourism producers, consumers and stakeholder relationships respectively. “Employment”, “sustainable development” and “quality of life” possess the potential to emerge as future research hotspots.

By combining literature on inclusive tourism and other overlapping concepts, CiteSpace was used to construct data and network visualizations, including a burst and dynamic analysis for the period covered by the sample. The conclusions offer researchers insights into the existing body of work in inclusive tourism research and suggest directions for future research. In practice, tourism managers can gain a deeper understanding of the needs and limitations of marginalized groups in tourism, allowing them to offer more tailored products for inclusive tourism and further enhance the development of an inclusive tourism environment.

旨在揭示2008年到2023年包容性旅游研究文献的知识演变过程、研究热点和未来趋势。

从Web of Science的核心数据库中筛选322篇有关包容性旅游的文章, 并使用CiteSpace进行分析。

2008年至2023年的16年间, 发表的有关包容性旅游的研究越来越多, 但总体基数仍然较小。梅西大学和哥德堡大学在国际包容性旅游研究方面处于领先地位。国家合作从2008年的以英国为中心转向2010年的澳大利亚、美国和西班牙, 并扩展到更多国家, 最近又增加了与中国、日本和其他国家的合作。包容性旅游的本质与社会和代际发展有着内在联系, 必须消除社会排斥和不平等, 才能实现可持续发展。包容性旅游的研究经历了三个阶段, 分别强调旅游生产者、消费者和利益相关者的关系。“就业”、“可持续发展”和 “生活质量”有可能成为未来的研究热点。

结合包容性旅游和其他重叠概念的文献, 利用CiteSpace构建了数据和网络可视化, 包括对样本覆盖时期的突发和动态分析。结论为研究人员提供了对包容性旅游研究现有成果的见解, 并提出了未来研究的方向。实践上, 旅游管理者可以更深入地了解旅游中边缘化群体的需求和局限性, 从而为包容性旅游提供更多量身定制的产品, 进一步促进包容性旅游环境的发展。

El objetivo de este trabajo es presentar el proceso de evolución del conocimiento, los temas destacados de investigación y las tendencias futuras en la literatura de investigación sobre turismo inclusivo desde 2008 hasta 2023.

Se seleccionó un total de 322 artículos sobre turismo inclusivo de la base de datos de la colección principal de Web of Science (WoS) y se analizaron utilizando CiteSpace.

En el periodo de 16 años comprendido entre 2008 y 2023 se han publicado cada vez más estudios sobre turismo inclusivo, pero la base global sigue siendo pequeña. Entre las instituciones, la Universidad de Massey y la Universidad de Gotemburgo encabezan la investigación internacional sobre turismo inclusivo. La cooperación entre países pasó de estar centrada en el Reino Unido en 2008 a Australia, EE. UU. y España a partir de 2010, ampliándose a más naciones y, recientemente, ha aumentado con China, Japón y otros países. La esencia del turismo inclusivo está intrínsecamente ligada al desarrollo social y generacional, que requiere la eliminación de la exclusión social y la desigualdad para lograr la sostenibilidad. La investigación sobre el turismo inclusivo ha pasado por tres etapas, haciendo hincapié en los productores turísticos, los consumidores y las relaciones con las partes interesadas, respectivamente. El “empleo”, el “desarrollo sostenible” y la “calidad de vida” poseen el potencial para emerger como futuros focos de investigación.

A partir de la integración de la literatura sobre turismo inclusivo y otros conceptos superpuestos, se utilizó CiteSpace para visualizar los datos y redes, incluido análisis de ráfagas y dinámico para el periodo muestral. Las conclusiones ofrecen a los investigadores una visión de las contribuciones académicas en turismo inclusivo y sugieren direcciones para futuras investigaciones. En la práctica, los gestores turísticos pueden adquirir un conocimiento más profundo de las necesidades y limitaciones de los grupos marginados en turismo, permitiéndoles ofrecer productos más adaptados al turismo inclusivo y seguir mejorando el desarrollo de un entorno turístico inclusivo.

The purpose of this study was to investigate the detrimental consequences of participating in stokvels among women entrepreneurs within the South African township economy.

The research used the Gioia methodology, involving the implementation of a qualitative inquiry with an inductive approach. Semi-structured interviews served as the primary method for data collection. The study had a sample comprising 20 women entrepreneurs located in Johannesburg, South Africa.

Narratives on the detrimental consequences of participating in stokvels among women entrepreneurs within the South African township economy included fraudsters, misunderstanding and dishonesty among stokvel partners, year-end robbery and theft, stokvels being dominated by men, operating outside of formal regulatory frameworks, exclusion and limited funding.

Sample size challenges feature as a notable limitation, including the research being conducted in only one province of South Africa. Caution should be exercised when seeking to generalize the findings in other contexts.

While there is an array of literature on the impact of stokvels on entrepreneurship, there are deficiencies in studies that have looked at the detrimental consequences of stokvels on women entrepreneurs. As a result, the goal of this research is to add to the present corpus of African entrepreneurship literature, specifically in the context of South Africa.

The study aimed to assess whether transgender women, who were students at a university in London, England, faced hiring discrimination when seeking employment.

Three comparable university classmates—a cisgender woman, a cisgender man and a transgender woman—studying Engineering applied to the same job openings. Similarly, another set of three university classmates—a cisgender woman, a cisgender man and a transgender woman—studying Social Work applied to the same job openings. The degree of discrimination was quantified by calculating the difference in the number of interview invitations received by each group.

When three comparable university classmates apply for the same job openings, the rate of interview invitations differs based on gender identity. For cisgender women, the invitation rate is 31.3%, while for cisgender men, it stands at 35.1%. However, for transgender women, the rate drops significantly to 10.4%. Additionally, transgender women face further challenges in male-dominated sectors (STEM), where their chance of being invited for a job interview is even lower compared to those in female-dominated sectors, with a reduction of 8.7 percentage points. The study also reveals that firms with written equality policies on gender identity diversity show a 25.7 percentage point increase in invitation rates for transgender women compared to firms without such policies. Furthermore, the research highlights that negative beliefs among job recruiters regarding various aspects of transgender women, including their gender identity status, disclosure, job performance, vocational relationships and turnover, contribute to their exclusion from job interviews. Moreover, for transgender women who do receive interview invitations, these tend to be for lower-paid jobs compared to those received by cisgender women (by 20%) and cisgender men (by 21.3%). This wage sorting into lower-paid vacancies suggests a penalty in terms of lower returns on education, which could drive wage and income differences.

Transgender women received a higher number of job interview invitations when firms had written equality policies on gender identity diversity. This outcome can help policymakers identify actions to reduce the exclusion of transgender people from the labour market.

The study gathers information from job recruiters to quantify the roots of hiring discrimination against transgender women. It also enables an examination of whether workplaces' written equality policies on gender identity diversity are related to transgender women’s invitations to job interviews.

This research considers new and unexplored explanations of why consumers continue to engage in environmentally damaging, fast fashion consumption. It explains why rational arguments alone do not prevent fast fashion consumption or encourage consumers to move toward greater adoption of sustainable fashion consumption behaviours.

This research compared the effects of a “neutral” control and an “intrasexual rivalry” experimental condition on: (1) likelihood to buy, and (2) willingness to pay, of frequent female fast fashion shoppers (N = 184).

Women use fast fashion as a conspicuous signal to other women, although this is not necessarily why they waste fast fashion purchases. Mating motives appear to produce a significant increase in fast fashion buying behaviour with women feeling intrasexual pressure to engage in consumption, and utilising consumption themselves as a self-promotion strategy.

Retailers tackling wasteful fast fashion consumption can demonstrate that sustainable consumption provides a superior conspicuous signal to fast fashion consumption, instead of solely using rational messaging.

Grounded in evolutionary psychology, this study uses three theories of intrasexual rivalry, conspicuous consumption and conspicuous waste to understand how both the volume and variety of fast fashion consumed are used as conspicuous signals in a mate attraction context.

Women’s direct or subtle exclusion from the labour market is still evident, necessitating more rigorous inquiries into the subject matter. The study aims to assess the moderating factors that can boost the inclusion of women participation in the labour market by complementing and actualising the doctrine of the feminist U-shaped hypothesis.

This study is situated within the feminist U-shaped hypothesis and employs the generalised method of moments (GMM) on 38 countries in sub-Saharan Africa (SSA).

This study validates the U-shaped labour hypothesis and expands on the moderating effects of the U-shaped curve in 38 SSA countries.

The study contributes to the influences of human capital development and technological access that can significantly improve the workings of the feminist U- hypothesis in SSA countries.

Improving construction projects' performance through innovative approaches such as lean construction (LC) and offsite construction (OSC) methods are at the centre of various debates. However, there is a limited understanding of the current link between LC and OSC approaches. This study aims to conduct a scientometric analysis on LC and OSC research to unpack and establish the nexus and suggest future research focus.

Scientometric analysis was used to systematically examine existing literature on LC and OSC to identify possible connections. Relevant publications were extracted from the Scopus database, using inclusion and exclusion criteria. VOSviewer software was used as a visualisation technique to analyse and map the interrelations and connections of the concepts being studied. Bibliograhic data on the 68 selected papers were extracted from the Scopus database.

The search results cover the period between 2003 and 2021. Descriptive statistics show that the number of published papers has increased yearly. Researchers in the USA and Canada are the most productive authors regarding the number of published papers. The directions for future research suggested are the need to identify best practices for integrating LC and OSC methods, the need for more interdisciplinary and cross-country collaboration among researchers, the use of alternative research methods will provide a better understanding of the benefit of integrating LC and OSC techniques and more research is needed to showcase how the use of lean and offsite construction can facilitate the attainment of net-zero in the construction industry.

This study provides insights into the trends and gaps in knowledge on integrating LC and OSC methods and offers valuable insights to scholars and practitioners in integrating LC and OSC principles. This knowledge is vital for identifying strategies to improve the outcome of construction projects and contribute to the sustainable socio-economic development of cities across the globe.

This article examines how the practice of work inclusion towards vulnerable groups can positively affect individual leaders and co-workers. We specifically examine intrapersonal factors like motivation and commitment.

Using a multiple case design, data is gathered through semi-structured interviews in three private Norwegian organizations. Fifteen interviews were conducted and included leaders and co-workers from each organization. Secondary data, such as internal documents regarding the work inclusion policies, sustainability reports and news articles, were also used to describe different organizational approaches toward work inclusion.

Work inclusion activities can positively affect leaders’ and co-workers’ commitment and intrinsic motivation.

This article focuses on the individuals who conduct inclusive behavior and how they benefit from practicing inclusion. Exploring the three companies’ different inclusion policies provides insights into how these are associated with different outcomes. The findings indicate that the policy structure and the practice of inclusion can have positive motivational and commitment effects.

Unlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research.

This state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed.

The results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry.

The study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry.

Funding difficulties are particularly compounded for Muslim entrepreneurs in Nigeria, owing to the dominance of interest-based financial institutions prohibited in Islam. Thus, this study aims to explore the role of awareness of Islamic finance principles in ameliorating financial deprivation and financial anxiety to increase access to Islamic financing among Muslim entrepreneurs.

A quantitative survey method of data collection was used to collect data from a total of 208 micro, small and medium enterprises (MSME) owners based on hand-delivered questionnaires. The data was analyzed using a partial least square structural equation model.

The result supports the direct negative impact of relative financial deprivation and the positive impact of awareness of Islamic finance principles on access to Islamic finance. However, awareness of Islamic finance principles could not moderate any of the direct relationship.

This study implies that financial deprivation is detrimental to access to Islamic finance, but financial anxiety has no significant impact. In addition, policymakers and MSME owners could directly foster access to Islamic finance through awareness of Islamic finance principles, though it could not redirect the negative impact of relative financial deprivation on access to Islamic finance.

The valuable finding here is that the substantial positive impact of awareness of Islamic finance principles on access to Islamic finance is not enough to redirect the negative effect of relative financial deprivation on access to Islamic finance.

The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.