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This study aims to provide a comprehensive analysis of the current privacy concerns in the tourism industry by uncovering the key factors leading to such concerns (i.e. smart public services, cyber security issues, consumer behaviour and governance). Using papers from multiple sources, the relationship between technology advancements and tourist’s privacy concerns has been established.

This study adopted a machine learning-based systematic literature review approach to find out the clusters. The study analysed 68 papers using the topic modelling approach. A four-cluster solution was considered to be most representative of the extant literature identified using bibliographic coupling. Finally, content analysis of the selected literature has been performed.

This study identified four factors majorly leading to privacy concerns amid increasing technological advancements. Moreover, these factors were found to have a dyadic relationship with technological advancements. To everyone’s amazement, sustainable tourism was also found to have led to privacy concerns among tourists along with a lack of governance and cyber security issues. Furthermore, cluster-wise future research directions are provided based on the content analysis.

This study contributes to the literature by systematically reviewing and identifying the four dimensions leading to privacy concerns. To the best of the authors’ knowledge, the study done is the only attempt to synthesize the extant literature on tourists’ privacy concerns using an unbiased scientific approach.

本研究对旅游业当前的隐私问题进行了全面分析, 以揭示导致此类担忧的关键因素（即智能公共服务、网络安全问题、消费者行为和治理）。 通过考察来自多方渠道的现有文献, 本研究确立了技术进步与游客隐私问题之间的关系。

本研究采用基于机器学习的系统文献综述方法来找出聚类。 该研究使用主题建模方法分析了 68 篇文章。四聚类解决方案是现有文献中最具代表的 文献分类方法。最后, 本研究对所选文献进行了内容分析。

这项研究确定了在技术进步不断增加的情况下主要导致隐私问题的四个因素。 此外, 这些因素被发现与技术进步有二元关系。 本研究还发现可持续旅游业引发了游客对隐私的担忧以及缺乏治理和网络安全问题。 此外, 通过基于内容的分析, 本研究提供了未来的聚类研究方向。

本研究对现有文献的贡献在于通过系统地文献综述和分析以确定导致隐私问题的四个维度。该研究是基于公正的科学方法综合现有游客隐私问题文献的首度尝试。

Este estudio proporciona un análisis exhaustivo de la actual preocupación por la privacidad en el sector turístico, poniendo al descubierto los factores clave que la generan (los servicios públicos inteligentes, los problemas de ciberseguridad, el comportamiento de los consumidores y la gobernanza). Gracias al uso de artículos de múltiples fuentes, se ha establecido la relación entre los avances tecnológicos y la preocupación de los turistas por la privacidad.

Este estudio adoptó un enfoque de revisión sistemática de la literatura basado en el aprendizaje automático para descubrir los conglomerados. El estudio analizó sesenta y ocho artículos utilizando el enfoque de modelización de temas. Se consideró que una solución de cuatro conglomerados era la más representativa de la literatura existente identificada mediante el acoplamiento bibliográfico. Por último, se realizó un análisis de contenido de la bibliografía seleccionada.

En este estudio se identificaron cuatro factores principales que suscitan inquietud por la privacidad en medio de los crecientes avances tecnológicos. Además, se descubrió que estos factores tienen una relación diádica con dichos avances. Para sorpresa de todos, se halló que el turismo sostenible, junto con la falta de gobernanza y los problemas de ciberseguridad, también suscitan entre los turistas preocupaciones por su privacidad. Finalmente, el análisis de contenido ofrece orientaciones para futuras investigaciones.

Este estudio contribuye a la literatura haciendo una revisión sistemática e identificando las cuatro dimensiones que conducen a la preocupación por la privacidad. Este estudio es el único intento de sintetizar la bibliografía existente sobre la preocupación de los turistas por su privacidad utilizando un enfoque científico imparcial.

Research on corporate social responsibility (CSR) within the real estate sector is limited, and the precise workings of its impact are still unclear. Under the premise that real estate enterprises face environmental uncertainty in China, this study explored the impact of CSR on real estate enterprise value.

To investigate the impact of CSR on enterprise value, we studied 111 real estate enterprises with A-shares listed on Shanghai and Shenzhen stock exchanges from 2010 to 2020, and performed empirical tests to determine the moderating effect of environmental uncertainty on this relationship.

(1) The fulfillment of corporate social responsibility (CSR) significantly influences the value of real estate enterprises. A sub-dimensional analysis reveals that fulfilling stakeholder and social welfare responsibilities within CSR positively impacts enterprise value, whereas environmental responsibility does not exert a notable effect. (2) The uncertainty associated with environmental changes profoundly affects the relationship between CSR and the value of real estate enterprises. More precisely, as environmental uncertainty increases, it amplifies the beneficial impact of CSR on enterprise value.

These findings are valuable for real estate enterprises as they navigate the transition towards sustainable development, and they also provide insight for the government in formulating policies aimed at regulating the real estate sector.

This study complements the existing discussion and research on corporate social responsibility (CSR) and enterprise value in the real estate industry, while elucidating the underlying mechanism of how environmental uncertainty mediates the relationship between the two.

The importance of smart tourism technologies (STTs) has been rising recently, but how STTs are related to tourists' psychological well-being has got little attention. The study intends to show how STTs increase tourists' psychological well-being by capitalizing on the theory of Tourism 4.0. The study investigates the associations between the factors of STTs with the perceived benefit and, subsequently, perceived benefit with the psychological well-being of tourists. Moreover, this study also examines the moderating impact of a growth mindset (GM) between perceived benefits (PB) and tourists' psychological well-being (TPW) in the tourism industry.

Using a structured questionnaire, 243 responses were collected through the convenience sampling method. Partial least square structural equation modeling (PLS-SEM) was used for the analysis.

Findings show that automation, security/privacy concerns, information accuracy, and personalization are significantly related to the PB of tourists. The results also confirm that a GM moderates the relationship between PB and TPW.

The results show the social and managerial importance of the perspective of tourism in developing countries. Based on the tourism 4.0 concept, this study presents a theoretical contribution by expanding practical information regarding the link between STTs and psychological well-being. Moreover, the study shows some directions to the tour operator about improving PB and psychological well-being. The notion of tourism 4.0 is a new paradigm that seeks to unlock the psychological well-being of visitors through the hyper-interconnectedness of humans and technologies.

This study contributes to prior research on technology-based tourism by exploring the uncharted STT variables, PB, GM and psychological well-being. Moreover, the study makes an empirical effort to conceptualize the tourism 4.0 concept on the proposed relationships. Tourist firms should focus on implementing this theory to develop their business.

The purpose of this paper is to establish a dynamic model considering the actual operating conditions of the train and to study the dynamic performance and vibration characteristics of axle box bearings under different operating conditions.

In this paper, based on the internal contact characteristics of double-row tapered roller bearings, a dynamic model considering the actual operating conditions of the train is established. The correctness of the model is verified by the vibration test of the bearing. Comparative analysis was conducted on the effects of axial force, radial force and rotational speed on the angular velocity of the cage, slip rate and vibration acceleration level of the inner ring.

As the force increases, the slip rate of the cages on both sides decreases, and the vibration acceleration level of the inner ring increases. With the increase of rotational speed, the cage slip rate of the axle box bearing increases and the vibration acceleration level of the inner ring increases.

A dynamic model is established considering the actual operating conditions, and the dynamic performance and vibration characteristics of the axle box bearing under different operating conditions are analyzed by numerical method. The research content can provide reference for the parameter design of high-speed railway bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0085/

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

This paper aims to provide a critical reflection on the management of experiences in hospitality and tourism (H&T). The paper investigates the evolution of experience research, while discussing the emerging challenges and opportunities for management.

The study adopts a critical and reflective approach for providing future directions of experience research. Three major fields are identified to discuss advances, challenges and opportunities in experience research: conceptualization and dimensions of experiences; relational network for experience management; and theoretical and methodological approaches.

The paper proposes a mindset shift to guide experience research, but also to redirect and research thinking and managerial practices about the role of experiences in the economy and society. This proposed humanized perspective to experience research and management is deemed important given the contemporary socio-economic, environmental and technological challenges of the environment.

This paper identifies a set of theoretical and managerial implications to help scholars and professionals alike to implement the humanized perspective to experience research. Implications relate to conceptualization, relational network and theoretical and methodological approaches in experience research.

This study critically assesses research challenges and opportunities around customer experience management (CEM) in H&T contexts. This reflective and critical look at customer experiences not only informs future research for advancing knowledge and practice but also proposes a mindset shift about the role and nature of CEM in the society and economy.

Mobile robots with independent wheel control face challenges in steering precision, motion stability and robustness across various wheel and steering system types. This paper aims to propose a coordinated torque distribution control approach that compensates for tracking deviations using the longitudinal moment generated by active steering.

Building upon a two-degree-of-freedom robot model, an adaptive robust controller is used to compute the total longitudinal moment, while the robot actuator is regulated based on the difference between autonomous steering and the longitudinal moment. An adaptive robust control scheme is developed to achieve accurate and stable generation of the desired total moment value. Furthermore, quadratic programming is used for torque allocation, optimizing maneuverability and tracking precision by considering the robot’s dynamic model, tire load rate and maximum motor torque output.

Comparative evaluations with autonomous steering Ackermann speed control and the average torque method validate the superior performance of the proposed control strategy, demonstrating improved tracking accuracy and robot stability under diverse driving conditions.

When designing adaptive algorithms, using models with higher degrees of freedom can enhance accuracy. Furthermore, incorporating additional objective functions in moment distribution can be explored to enhance adaptability, particularly in extreme environments.

By combining this method with the path-tracking algorithm, the robot’s structural path-tracking capabilities and ability to navigate a variety of difficult terrains can be optimized and improved.