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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.

This paper aims to propose an active disturbance rejection control (ADRC)-based visual servoing strategy for regulating a wheeled mobile robot from varying initial poses to a desired pose at an exponential rate. It addresses challenges associated with non-holonomic constraints, uncertain depth information and unknown translational parameters in monocular vision systems.

The uncertain depth information in monocular vision and unknown camera-to-robot translational parameters are modeled as internal uncertainties of the visual servo system. An input-state scaling technique is used to decouple the system into two subsystems, controlled by angular and linear velocities, respectively. The angular velocity controller is designed to ensure strict exponential convergence, while the internal parametric and bounded uncertainties of the system are estimated and compensated for by an extended state observer and a switching linear velocity controller.

The separate design of the angular and linear velocity controllers effectively overcomes the non-holonomic constraints of the mobile robot, ensuring robust performance under diverse conditions. Furthermore, the ADRC-based strategy successfully handles uncertain depth information and unknown translational parameters. The convergence of the error system is rigorously proven using Lyapunov theory, and simulation results verify the effectiveness of the proposed scheme.

To the best of the authors’ knowledge, this study introduces, for the first time, a novel approach that combines ADRC with visual servoing for non-holonomic mobile robots. This approach enhances the adaptability and accuracy of the robot’s navigation in environments characterized by unknown system uncertainties. The proposed method demonstrates enhanced practical performance over conventional techniques by effectively managing the inherent uncertainties of the system.

We adopt an information risk view and argue that higher levels of pledge risk incurred by insiders incentivize opportunistic financial disclosure and impair the quality of information available to analysts to forecast firm performance.

We sample Chinese listed companies from 2010 to 2022. Following the literature, we apply established models to measure and test analysts’ forecasting accuracy/dispersion related to controlling shareholders pledging equity and the amount of margin call pressure. Analyst characteristics and nonfinancial disclosures proxied by CSR reports are also examined as factors likely to influence the relationship between pledge risk and analysts’ forecast quality.

We find that analysts’ earnings predictions are less accurate and more dispersed as the proportion of shares pledged (pledge ratio) increases and in combination with greater margin call pressure. Pledge ratios are significantly associated with several information risk proxies (i.e. earnings permanence, accruals quality, audit quality, financial restatements, related party transactions and internal control weaknesses), validating the channel through which equity pledges undermine analysts’ forecast quality. The results also demonstrate that forecast quality declines for a wide variety of analysts’ attributes, including high- and low-quality analysts and analysts from small and large brokerage firms. Importantly, nonfinancial disclosures, as proxied by CSR reporting, improve analysts’ forecasts.

We extend the literature by demonstrating that incremental pledge risk increases non-diversifiable information risk; all non-pledging shareholders pay a premium through more diverse and less accurate earnings forecasts. Our study provides important policy implications with economically significant costs to investors associated with insider equity pledges. Our results highlight the benefits of nonfinancial disclosures in China, which has implications for the current debate on the global convergence of CSR reporting.

This study addresses a gap in understanding consumer retention in omnichannel retailing. It explores the impact of omnichannel capabilities on consumer retention by examining the roles of consumer empowerment, cross-channel integration, retailer uncertainty and consumer satisfaction.

Utilising the stimulus-organism-response theory, data from 338 Indian omnichannel consumers were analysed using SmartPLS V3 and Process Macro for SPSS. A structured questionnaire guided the investigation into the interconnected dynamics of omnichannel capabilities, consumer empowerment, cross-channel integration, retailer uncertainty and consumer satisfaction.

Findings suggest that omnichannel capabilities significantly and positively influence consumer retention, with a significant mediation impact on consumer empowerment and cross-channel integration. The results indicate that retailer uncertainty negatively moderates, whereas consumer satisfaction positively moderates the association between omnichannel capabilities and consumer retention. Moreover, the study unravels the mechanisms driving consumer retention in the omnichannel landscape.

This research pioneers unravelling the complexities of consumer retention in omnichannel retailing. It explores how consumer retention is enhanced through omnichannel capabilities. This study bridges a gap in existing research by examining the impact of omnichannel capabilities, consumer empowerment and cross-channel integration in omnichannel retailing. Therefore, this study provides innovative, unique and strategic adaptations in the retail industry.

The global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects.

After reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process.

28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.”

Although numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates.

This study explores the link between additional reviews, credibility, and consumers’ online purchasing behavior.

We employ a 2 × 2 between-subjects design to measure subjects’ purchasing behavior with versus without additional reviews and with important versus non-important attributes. A total of 529 valid questionnaires are collected from university students across 30 Chinese provinces.

The addition of negative reviews to a positive initial review enhances consumers’ perceived credibility of the reviewer and the overall review content. This effect is positively moderated by the attribute importance in additional reviews. Moreover, we find that as the time interval increases, consumers’ perceived credibility gradually increases but eventually decreases after reaching a certain threshold. In addition, the attribute importance in additional reviews negatively moderates the impact of perceived credibility on consumer purchasing behavior.

Existing studies on first and subsequent reviews mainly focus on the difference in perceived usefulness between the two. They do not examine how additional reviews affect potential customers’ perceived credibility and their purchase decision-making. This study bridges the gap between the word-of-mouth literature and marketing practices.

The purpose of this study is to address the challenge of task allocation in multi-robot systems by getting the minimum overall task completion time and task allocation scheme while also minimizing robot energy consumption. This study aims to move away from traditional centralized methods and validate a more scalable distributed approach.

This paper proposes a distributed algorithm for the multi-robot task allocation problem, aimed at getting the minimum task completion time along with the task allocation scheme. The algorithm operates based on local interaction information rather than global information. By using the Consensus-Based Auction Algorithm (CBAA), it seeks to effectively minimize energy consumption without affecting the minimum completion time required for overall task allocation.

The proposed distributed algorithm successfully reduces robot energy consumption while effectively obtaining the shortest overall task completion time and corresponding task allocation scheme. Numerical simulations conducted using MATLAB software demonstrated its superior performance, and empirical testing on the Turtlebot3-Burger robot platform further substantiated these findings.

The original contribution of this study lies in the development of an enhanced distributed task allocation strategy using CBAA to improve efficiency in multi-robot environments. Its value extends to applications that require rapid and resource-aware coordination, such as automated logistics or search-and-rescue operations.

This paper addresses the issue of internal spatial environmental pollution in non-blasting tunnel construction by proposing a comprehensive evaluation model. The model aims to provide a scientific basis for environmental pollution prevention in non-blasting tunnel construction, thereby facilitating green tunnel construction and sustainable development management.

The study firstly refines and constructs the evaluation index system from the perspective of pollution sources. A novel weight calculation method is introduced by integrating the analytic hierarchy process (AHP) with the ordered weighted averaging (OWA) operator, and a comprehensive evaluation model for internal environmental pollution in non-blasting tunnels is established by incorporating the grey clustering evaluation method. Finally, an empirical study is conducted using the Erbaoshan Tunnel as a case study to verify the feasibility and effectiveness of the model.

The study develops an evaluation system for internal environmental pollution in non-blasting tunnels and applies it to the Erbaoshan Tunnel. The results classify the pollution level as “general pollution,” confirming the rationality and applicability of the evaluation system and model while also identifying the primary pollution factors.

This study first developed a comprehensive evaluation system for environmental pollution in non-blasting tunnel construction from the pollution source perspective, making the system more comprehensive. Additionally, it innovatively combined AHP–OWA and gray clustering methods to scientifically assess pollution levels, providing valuable scientific guidance for the evaluation and management of non-blasting tunnels and similar underground projects.

Online games are highly popular Internet applications. Some games enable players to save game progress and accumulate experiences or changes to avatars during gameplay, whereas some other games do not, requiring players to restart from the beginning each time. That is, games differ in avatar accumulability. However, we do not know whether games should be designed to permit avatar accumulability or not and how it affects players’ gameplay experience and therefore game outcomes, indicating gaps. Research addressing these gaps can inform game makers in designing games that effectively strengthen their players’ game loyalty.

We used social identity theory (SIT) to construct a theoretical model. To test this model, three waves of survey data were gathered from the same 778 participants.

These findings uniquely indicate that avatar accumulability fosters avatar identification and increases players’ focused immersion, thus increasing players’ loyalty.

Game providers could include game features that enable players to accumulate their avatars’ in-game skins, levels, items (weapons and equipment) and experience points. This accumulability can help strengthen players’ game loyalty.

Overall, our study extends SIT by adding a new trigger (avatar accumulability) and two novel consequences of avatar identification (image protection and focused immersion) in avatar-related systems (games or gamified systems). The new trigger offers an actionable means to apply SIT, while the novel consequences verify the value of applying SIT to study online games.

Green financial technology (FinTech) has received attention for promoting green finance investment and sustainable development. However, how consumer social responsibility and long-term orientation influence the continuance intention of green FinTech users remains unknown in the literature. To fill this gap, consumer social responsibility and long-term orientation are combined with the unified theory of acceptance and use of technology to develop a research model to investigate their moderating effects on the continuance intention of green FinTech users.

A random probability sampling method was adopted, and 377 valid responses were collected to verify the proposed model. Partial least squares structural equation modeling was employed for the data analysis.

Performance expectancy, effort expectancy, social influence and facilitating conditions have significant positive impacts on the continuance intentions of green FinTech users. Surprisingly, consumer social responsibility enhances the effects of performance expectancy and social influence on continuance intention but negatively moderates the effect of facilitating conditions on continuance intention. Moreover, a long-term orientation can increase the impact of facilitating conditions on continuance intention but decrease the impact of performance expectancy on continuance intention.

This paper proposes a research model that reveals how consumer social responsibility and long-term orientation moderate the relationship between the unified theory of acceptance and use of technology (UTAUT) and the continuance intention of green FinTech users to fill a gap in the literature.