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Police procedural justice is essential in shaping police legitimacy and public willingness to cooperate, yet factors that affect police fair treatment of citizens are not fully understood. Using the data of the National Police Research Platform (NPRP), Phase II, this study examines the effects of three key organizational factors (i.e. effective leadership, supervisory justice and department process fairness) on officers’ procedural justice in police stops.

Innovatively, this study links police data with citizens’ data and conducts multilevel analyses on the effects of a host of citizen, officer, incident, and, importantly, agency characteristics on officer behaviors during over 5,000 police stops nested within 48 police agencies.

The results showed that the fairness of the departmental process had a positive effect on officer procedural justice, while the fairness of the supervisor was inversely associated with procedural justice on the street.

The linked data demonstrated that organizational fairness affected street procedure justice.

This research aims at explaining the phenomenon of the “black children” (heihaizi), a very little-known generation who lived with concealment under the one-child policy in China. The one-child policy was officially introduced to nationwide at the end of 1979 by permitting per couple to have one child only, later modified to a second child allowed if the first was a girl in rural China in 1984. It was officially replaced by a nation-wide two-child policy and most existing research focused on the parents’ sufferings and policy changes. The term “black children” has been mainly used to describe their absence from their family hukou registration and education. However, this research aims at expanding the meaning of being “black” to explain the children who were concealed more than at the level of family formal registration, but also physical freedom and emotional bond. What we do not yet know are the details of their lived experiences from a day-to-day base: where did they live? How were they raised up? Who were involved? Who benefited from it and who did not? In this way, this research challenges the existing scholarship on the one-child policy and repositions the “black children” as primary victims, and reveals the family as a key figure in co-producing their diminished status with the support of state power. It is very important to understand these children’s loss of citizenship and human freedom from the inside of the family because they were concealed in so many ways away from public view and interventions. This research focuses on illustrating how their lack of access to continued, stabilized, and reciprocally recognized family interactions framed their very idea of self-worth and identity.

The purpose of this study is to evaluate service robots as an alternative service provider that can reduce customers’ social discomfort in hospitality service encounters. Specifically, the authors discuss when and in what scenarios service robots can alleviate such social discomfort and explain this effect from the perspective of dehumanization.

Following a social constructivist paradigm, the authors adopt a qualitative research design, gathering data through 21 semistructured interviews to explore why the presence of service employees causes customers’ social discomfort in hospitality service encounters and how service robots alleviate such discomfort.

This study’s results suggest that both the active and passive engagement of service employees are sources of customers’ social discomfort in hospitality service encounters; thus, adopting service robots can help reduce such discomfort in some scenarios. Customers’ differentiating behaviors, a downstream effect of social discomfort, are also addressed.

Service robots can reduce customers’ social discomfort in certain scenarios and influence their consumption behaviors. This finding offers actionable insights regarding the adoption of service robots in hospitality service encounters.

This research enhances the understanding of social discomfort in hospitality service encounters and expands the research on service robots. To the best of the authors’ knowledge, it is the first attempt to reveal the bright side of robots in service encounters from a dehumanization perspective.

Traditional robot arm trajectory planning methods have problems such as insufficient generalization performance and low adaptability. This paper aims to propose a method to plan the robot arm’s trajectory using the trajectory learning and generalization characteristics of dynamic motion primitives (DMPs).

This study aligns multiple demonstration motion primitives using dynamic time warping; use the Gaussian mixture model and Gaussian mixture regression methods to obtain the ideal primitive trajectory actions. By establishing a system model that improves DMPs, the parameters of the nonlinear function are learned based on the ideal primitive trajectory actions of the robotic arm, and the robotic arm motion trajectory is reproduced and generalized.

Experiments have proven that the robot arm motion trajectory learned by the method proposed in this article can not only learn to generalize and demonstrate the movement trend of the primitive trajectory, but also can better generate ideal motion trajectories and avoid obstacles when there are obstacles. The maximum Euclidean distance between the generated trajectory and the demonstration primitive trajectory is reduced by 29.9%, and the average Euclidean distance is reduced by 54.2%. This illustrates the feasibility of this method for robot arm trajectory planning.

It provides a new method for the trajectory planning of robotic arms in unstructured environments while improving the adaptability and generalization performance of robotic arms in trajectory planning.

The study investigates the consumer’s attitude to using artificial intelligence (AI) devices in hospitality service settings considering social influence, hedonic motivation, anthropomorphism, effort expectancy, performance expectancy and emotions.

This study employed a quantitative methodology to collect data from Bangladeshi consumers who utilized AI-enabled technologies in the hospitality sector. A total of 343 data were collected using a purposive sampling method. The SmartPLS 4.0 software was used to determine the constructs' internal consistency, reliability and validity. This study also applied the partial least squares structural equation modeling (PLS-SEM) to test the research model and hypotheses.

The finding shows that consumer attitude toward AI is influenced by social influence, hedonic motivation, anthropomorphism, performance and effort expectancy and emotions. Specifically, hedonic motivation, social influence and anthropomorphism affect performance and effort expectations, affecting consumer emotion. Moreover, emotions ultimately influenced the perceptions of hotel customers' willingness to use AI devices.

This study provides a practical understanding of issues when adopting more stringent AI-enabled devices in the hospitality sector. Managers, practitioners and decision-makers will get helpful information discussed in this article.

This study investigates the perceptions of guests' attitudes toward the use of AI devices in hospitality services. This study emphasizes the cultural context of the hospitality industry in Bangladesh, but its findings may be reflected in other areas and regions.

This study aims to describe the experiences of critically ill elderly patients (CIEPs) who were treated using the high-flow nasal cannula (HFNC) after extubation.

A descriptive phenomenological approach was conducted to interview eleven CIEPs using face-to-face semi-unstructured interviews. Participants were selected through purposive sampling. Data were analyzed using Giorgi’s method.

Experiences of CIEPs included their fears of failure, getting comfortable and uncomfortable, as well as asking for assistance. Fears of failure were described as involving worsening symptoms related to their diseases and failure of HFNC leading to the need for reintubation. While receiving HFNC, their breathing was comfortable, and they were free from intubation. However, they were uncomfortable because of the sensation of burning in the nasal passages. Additionally, they asked for assistance from nurses in managing their symptoms, and the alarms of HFNC oxygen therapy devices resulted in fears of HFNC failure.

The paper indicates that CIEPs experienced physical and psychological impacts from HFNC oxygen therapy (e.g. burning sensation in the nose and fear of failure). Although they had comfortable breathing, being uncomfortable also occurred. Therefore, health-care professionals should support what CIEPs need and develop a program or guidelines for managing the complications of HFNC – neither burning noses nor psychological issues enhance the comfort of CIEPs – by considering age-related changes.

This paper aims to elucidate how humorous prompts affect tourists’ heritage responsible behaviors (THRBs).

Three scenario-based experiments were conducted through Credamo (an online survey platform). Studies 1 and 2 used a single-factor (language style: humorous vs serious) between-subject design to test the direct and indirect effects of humorous prompts. Study 3 used a 2 (environmental quality: high vs low) × 2 (language style: humorous vs serious) between-subject design to further reveal the boundary condition (environmental quality) of the humor effect.

The results revealed that humorous (vs serious) prompts better persuade tourists to engage in heritage responsible behaviors (HRBs). Content liking mediates the relationship between humorous prompts and THRBs. Moreover, environmental quality significantly moderates the effect of humorous prompts on THRBs, whereby the persuasive effect of humorous prompts is greater in high environmental quality conditions than in low environmental quality conditions.

Destination management organizations can use humor to reduce tourists’ reactance against prompts for behavioral persuasion. Moreover, it is also important to adapt humorous prompts to changes in environmental quality in a timely manner.

Based on psychological reactance theory, the research confirmed the dominant effect of humorous prompts by using content liking as a mediating variable, providing a new research perspective for research on the regulation of THRBs. Moreover, the authors clarified a boundary condition for the persuasiveness of humorous prompts, which helps reinforce the comprehension of humor persuasion.

本研究旨在厘清幽默提示语如何影响游客遗产责任行为的差异效应与过程机制。

本研究利用见数平台开展了三个情景实验。实验1与实验2采用单因素（语言风格：幽默 vs. 严肃）组间实验设计, 验证了幽默提示语对遗产责任行为的直接与间接效应。实验3采用2（语言风格：幽默 vs. 严肃）×2（环境质量：高 vs. 低）组间实验设计进一步揭示环境质量对幽默提示语效果的调节效应。

相较于严肃提示语, 幽默提示语可更好地说服游客产生遗产责任行为。内容喜爱在幽默提示语与遗产责任行为过程中发挥完全中介作用。此外, 环境质量调节了幽默提示语对遗产责任行为的影响, 即幽默提示语（较严肃提示语）仅在环境质量较高的遗产地中具备优势。

遗产地管理组织可使用幽默来降低游客对提示语的心理逆反程度, 从而达到行为说服的目的。与此同时, 管理者也要根据目的地环境质量及时调整幽默提示语的使用策略。

基于心理逆反理论, 本研究以内容喜爱为中介变量, 证实了幽默提示语的优势说服作用, 为游客遗产责任行为管理的相关研究提供了一个新的理论视角。同时, 本研究厘清了幽默提示语在遗产旅游地中的应用边界, 并强化了对幽默说服的理解。

Esta investigación pretende aclarar cómo afecta el humor al efecto persuasivo de la señalización sobre el comportamiento responsable de los turistas respecto al patrimonio.

Se realizaron tres experimentos basados en escenarios a través de Credamo (una plataforma de encuestas en línea). En los estudios 1 y 2 se utilizó un diseño entre sujetos de un solo factor (estilo de lenguaje: humorístico frente a serio) para comprobar los efectos directos e indirectos de los señalización humorísticos. El estudio 3 utilizó un diseño entre sujetos de 2 (calidad del entorno: alta frente a baja) × 2 (estilo lingüístico: humorístico frente a serio) para revelar con más detalle la condición límite (calidad del entorno) del efecto del humor.

Los resultados revelaron que las señalización humorísticas (frente a las serias) persuaden mejor a los turistas a participar en las HRB. El gusto por el contenido influye en la relación entre los señalización humorísticos y las HRB. Además, la calidad del entorno modera de forma significativa el efecto de los señalización humorísticos sobre los THRB, de modo que el efecto persuasivo de los señalización humorísticos es mayor en condiciones de alta calidad del entorno que en condiciones de baja calidad del entorno.

Las organizaciones de gestión de destinos pueden utilizar el humor para reducir la reacción de los turistas ante las señalización a la persuasión conductual. Además, también es importante adaptar oportunamente las señalización humorísticas a los cambios en la calidad del entorno.

Basándonos en la teoría de la reactancia psicológica, nuestra investigación confirmó el efecto dominante de las señalización humorísticas empleando el gusto por el contenido como variable mediadora, proporcionando una nueva perspectiva para la investigación sobre la regulación de las THRB. Además, aclaramos una condición límite para la persuasión de los señalización humorísticos, lo que ayuda a reforzar la comprensión de la persuasión humorística.

The final effectiveness of employee voice largely depends on voice endorsement. This study aims to review, assess, analyze and synthesize the emerging literature on voice endorsement by focusing on its antecedents to promote future research from a comprehensive perspective.

Based on an integrative review of the literature, the authors conducted a content analysis of 53 peer-reviewed journal articles.

Building on the Shannon–Weaver communication model, this paper summarizes that factors influencing voice endorsement can be classified into five prominent aspects: voicer, voiced idea, contextual factors and noises, voice channel (medium) and voice receiver.

This research holds important implications for practice, providing practical guidelines for employees to speak up, for leaders to endorse voice and for organizations to maintain sustainable development by making full use of employee voice.

This review enriches voice endorsement research by introducing a communication framework to synthesize its antecedents and extends the application of the communication model in organization research. Additionally, the authors offer directions for future research.

Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and cooperative obstacle avoidance.

This study draws inspiration from the recurrent state-space model and recurrent models (RPM) to propose a simpler yet highly effective model called the unmanned aerial vehicles prediction model (UAVPM). The main objective is to assist in training the UAV representation model with a recurrent neural network, using the soft actor-critic algorithm.

This study proposes a generalized actor-critic framework consisting of three modules: representation, policy and value. This architecture serves as the foundation for training UAVPM. This study proposes the UAVPM, which is designed to aid in training the recurrent representation using the transition model, reward recovery model and observation recovery model. Unlike traditional approaches reliant solely on reward signals, RPM incorporates temporal information. In addition, it allows the inclusion of extra knowledge or information from virtual training environments. This study designs UAV target search and UAV cooperative obstacle avoidance tasks. The algorithm outperforms baselines in these two environments.

It is important to note that UAVPM does not play a role in the inference phase. This means that the representation model and policy remain independent of UAVPM. Consequently, this study can introduce additional “cheating” information from virtual training environments to guide the UAV representation without concerns about its real-world existence. By leveraging historical information more effectively, this study enhances UAVs’ decision-making abilities, thus improving the performance of both tasks at hand.

This paper examines firm-level accountability and performance implications under a state-dominated institutional environment, China, for firms engaged in the space economy. Extant studies on the rapidly evolving civil space economy predominantly focus on developed Western economies at national or sector levels, frequently ignoring alternative institutional contexts. Additionally, limited attention has been given to firm-level empirical evidence and analysis, including corporate social responsibility (CSR) practice-R&D quality relationships in the space economy. The paper addresses each of these areas.

This paper utilises multiple regression, propensity score matching and split sampling methods applied to a proprietary dataset of Shanghai and Shenzhen Stock Exchange-listed A-share firms. Results are robust to endogeneity issues, alternative measurement of dependent variables and sampling.

China’s space firms demonstrate superior CSR performance to their counterparts in other sectors, supporting CSR‘s role in maintaining legitimacy. Their CSR practices also positively contribute to firm patent quality. The link is more pronounced among firms facing higher economic policy uncertainty and for state-owned enterprises (SOEs). The latter is due to SOEs’ government support, advantages in financing and attracting and retaining a high-quality workforce.

This paper adds to discussion on major space power’s, by examining China’s state-dominated civil space sector. It also addresses a lack of empirical firm-level evidence on space firm behaviour by examining the impact of firm-level CSR practices on R&D quality outcomes, areas in which there is a limited literature.