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Counterproductive work behavior (CWB) has grown into a significant problem in the tourism industry, for both individual employees and organizations. Employees who feel ostracized in their workplace often engage in negative and disruptive behaviors. The purpose of this study is to explore the psychological mechanism between workplace ostracism and CWB among tourism employees.

Drawing on psychological contract theory and social cognitive theory, the study proposed a research framework to explain tourism employees’ counterproductive behavior. Data were collected from 228 hotel employees at two time points in Huangshan, China. Hierarchical regression and SPSS-PROCESS Macro were used to test all the hypotheses.

Findings show that workplace ostracism significantly increases employee CWB, mediated by psychological contract violation. Workplace ostracism increases perceptions of psychological contract violation when employee self-esteem is higher. The mediating effect of psychological contract violation is also moderated by self-esteem.

Using the framework of psychological contract theory and social cognitive theory, the authors advance the organizational behavior literature in the tourism field. The authors contextualize the uniqueness of Chinese workplace behavior and highlight the need to understand “losing face (mianzi) view” in workplace relationships. This research contributes to better understanding the dark side of tourism workplace behavior by examining the effects of psychological contract violation and employee’s self-esteem on workplace ostracism and CWB.

旅游业中的反生产行为（CWB）已经成为一个重要问题, 反生产行为对员工和组织都会产生影响。在工作场所感到被排斥的员工往往会从事消极和破坏性的行为。本文的目的是研究旅游业员工工作场所排斥与反生产行为之间的心理机制。

基于心理契约理论和社会认知理论, 本研究提出了一个研究框架来解释旅游业员工的反生产行为发生机制。我们在中国黄山景区对228名酒店员工进行了两个时间点的问卷调查。采用分层回归和SPSS PROCESS Macro来测试所有假设。

结果表明 工作场所排斥显著增加员工反生产行为, 心理契约违背在其中起着中介作用。当员工自尊心较高时, 职场排斥对心理契约违反的感知影响更强。心理契约违背的中介效应也受到自尊心的调节。

我们运用心理契约理论和社会认知理论的框架, 推动了旅游领域的组织行为研究进展。我们讨论了中国情境下职场行为的独特性, 并强调在职场关系中需要考虑“面子观”。我们通过展示心理契约违背和员工自尊心对工作场所排斥和反生产行为（CWB）的影响, 有助于更好地理解旅游工作场所行为的负面影响。

El comportamiento laboral contraproducente (CLC) en la industria turística se ha convertido en un problema significativo tanto para los empleados individuales como para las organizaciones. Los empleados que se sienten marginados en su lugar de trabajo suelen participar en comportamientos negativos y disruptivos. El objetivo de este trabajo es examinar los efectos de la violación del contrato psicológico y la autoestima del empleado en el ostracismo en el lugar de trabajo y en el comportamiento laboral contraproducente CLC y agregar nuevos conocimientos para comprender mejor el lado oscuro del comportamiento laboral turístico.

Realizamos una encuesta de cuestionario a 228 empleados de hotel en dos momentos en Huangshan, China. Se utilizaron la regresión jerárquica y el SPSS PROCESS Macro para probar todas las hipótesis.

Los resultados muestran que 1) el ostracismo en el lugar de trabajo aumenta significativamente la CLC de los empleados. 2) La violación psicológica del contrato juega un papel mediador entre el ostracismo en el lugar de trabajo y CLC. 3) El ostracismo en el lugar de trabajo aumenta las percepciones de violación psicológica del contrato cuando la autoestima de los empleados es mayor. 4) El efecto mediador de la violación psicológica del contrato también es moderado por la autoestima.

Utilizando el marco de la teoría del contrato psicológico y la teoría cognitiva social, avanzamos en la literatura del comportamiento organizacional en el campo del turismo. Contextualizamos la singularidad del comportamiento en el lugar de trabajo chino y destacamos la necesidad de comprender la 'pérdida de la visión de la cara (mianzi)' en las relaciones laborales. Esta investigación contribuye con nuevos conocimientos para comprender mejor el lado oscuro del comportamiento turístico en el lugar de trabajo al examinar los efectos de la violación psicológica del contrato y la autoestima de los empleados en el ostracismo en el lugar de trabajo.

Tour guides often use humor to entertain tourists, but the process of tour guide humor (TGH) affecting tourists’ positive word of mouth (PWOM) remains unclear. To fill the gap, this study aims to investigate how TGH enhances tourists’ PWOM through perceived relationship investment, perceived wellness value and trust in tour guides.

A comprehensive mediation model was proposed based on social exchange theory (SET). Data were obtained from 335 tour group tourists and analyzed using structural equation modeling.

Results present that TGH positively predicts tourists’ PWOM. Perceived relationship investment, perceived wellness value and trust in tour guides not only play mediating roles between TGH and tourists’ PWOM, respectively, but also jointly provide two sequential mediation paths (TGH → perceived relationship investment → trust in tour guides → tourists’ PWOM and TGH → perceived wellness value → trust in tour guides → tourists’ PWOM).

The findings have practical value for tour guides and travel agencies to use TGH to improve tourists’ PWOM.

The major contribution is that a reciprocity-based framework rooted in SET was proposed to parse the complex process of TGH promoting tourists’ PWOM. Furthermore, this study enriches current knowledge by confirming that perceived wellness value is not only available in wellness tourism but can be experienced from TGH in mass tourism.

The overall contribution of this work is to provide a usable maturity model for collaborative scheduling (CS) that extends the literature, identifies inconsistencies in schedule development, and improves collaboration in the construction industry.

Via subject matter expert elicitation and focus groups, the maturity model establishes five pillars of collaboration—scheduling significance, planners and schedulers, scheduling representation, goal alignment with owner, and communication. The maturity model is then validated through iterative feedback and chi-squared statistical analysis of data obtained from a survey. The five pillars are tied to the literature and previous work in CS.

The analysis shows that current industry projects are not consistent in collaboration practice implementation, and the maturity model identifies areas for collaboration improvement. The study's contributions to the body of knowledge are (1) developing a maturity model-based approach to define and measure the current level of collaboration and (2) discovering the level of consistency in scheduling collaboration practice implementation.

The findings provide a benchmark for self-evaluation and peer-to-peer comparison for project managers. The model is also useful for project managers to develop effective strategies for improvement on targeted dimensions and metrics.

The construction engineering and management (CEM) literature does not contain targeted models for scheduling collaboration in the context of maturity and, broadly speaking, neither does the literature at large. The literature also lacks actionable items as presented for the maturity model for collaborative scheduling (MMCS).

The purpose of this study is to investigate the impact of enterprise social media (ESM) use on two trust dimensions – affect-based trust (ABT) and cognition-based trust (CBT) – as mediators in the relationship between ESM use and knowledge sharing. In the first stage of the proposed model, the authors also consider transparent communication (TC) and personal blogging with colleagues (PBC) during work and non-work hours as moderators that reshape trust levels and subsequently promote knowledge sharing within the organisation.

The authors collected the data in three waves from employees in China, the world’s largest market for social media. Five companies, including three information technology companies and two software companies, were targeted for data collection. Initially, a total of 403 ESM users were recruited, but the final sample in the final round was reduced to N = 292. The authors used Mplus (v8.5) to calculate direct path coefficients and indirect moderated-mediation effects.

The use of ESM promotes ABT and CBT, thereby improving knowledge sharing. ABT and CBT both fully mediate the effect of ESM use on knowledge sharing. However, the research reveals paradoxical findings regarding moderation. For example, on the one hand, TC negatively moderates the association between ESM use and ABT, thereby reducing knowledge sharing in the workplace. On the other hand, TC strengthens the relationship between the use of ESM and CBT, thereby increasing knowledge sharing. These contradictory findings indicate that TC functions as a double-edged sword; thus, the effective use of ESM in the workplace requires managers’ intervention. Finally, the analysis reveals that the moderating role of PBC strengthens the association between ESM use and both ABT and CBT, thereby increasing knowledge sharing.

While stakeholders have expressed concern regarding the adverse impacts of workplace ESM adoption on employee performance, the authors provide a broad, novel perspective on the potential of ESM use to enhance knowledge sharing via trust (i.e. ABT and CBT). To the best of the authors’ knowledge, this is the first study to offer a comparative view of trust dimensions, such as ABT and CBT, and to discuss how, why and when TC and PBC interactions moderate the relationship of ESM to ABT and CBT and thereby lead to knowledge sharing. These interesting findings guide further research into the role of ESM in the workplace, especially research based on rational choice theory and communication visibility theory, by illuminating the ways in which employees can use ESM to reshape social communication in the workplace and thereby enhance knowledge sharing.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

Social media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.

The authors designed and conducted a survey to collect data from social networking platform users.

Results from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.

This study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.

As a high-performance engineering plastic, polyimide (PI) is widely used in the aerospace, electronics and automotive industries. This paper aims to review the latest progress in the tribological properties of PI-based composites, especially the effects of nanofiller selection, composite structure design and material modification on the tribological and mechanical properties of PI-matrix composites.

The preparation technology of PI and its composites is introduced and the effects of carbon nanotubes (CNTs), carbon fibers (CFs), graphene and its derivatives on the mechanical and tribological properties of PI-based composites are discussed. The effects of different nanofillers on tensile strength, tensile modulus, coefficient of friction and wear rate of PI-based composites are compared.

CNTs can serve as the strengthening and lubricating phase of PI, whereas CFs can significantly enhance the mechanical properties of the matrix. Two-dimensional graphene and its derivatives have a high modulus of elasticity and self-lubricating properties, making them ideal nanofillers to improve the lubrication performance of PI. In addition, copolymerization can improve the fracture toughness and impact resistance of PI, thereby enhancing its mechanical properties.

The mechanical and tribological properties of PI matrix composites vary depending on the nanofiller. Compared with nanofibers and nanoparticles, layered reinforcements can better improve the friction properties of PI composites. The synergistic effect of different composite fillers will become an important research system in the field of tribology in the future.

Drawing on the transactional model of stress, this study develops a theoretical model to understand the lurking behavior on enterprise social media (ESM).

Based on a questionnaire survey, this research study collected valid data from 301 ESM users in the workplace. Hierarchical regression analyses are used to analyze the conceptual framework.

The results show that Zhongyong thinking is a significant predictor of lurking and emotional exhaustion and that lurking can cause emotional exhaustion. Lurking mediates the relationship between Zhongyong thinking and emotional exhaustion. Additionally, communication overload moderates the relationship between lurking and emotional exhaustion as well as the indirect relationship between Zhongyong thinking and emotional exhaustion through lurking.

This article examines the antecedents of lurking by considering Zhongyong thinking and explores how lurking on ESM influences emotional exhaustion. This research contributes to the literature on techno-stressors, lurking and ESM and hopefully contributes to the growing dialog about the consequences of lurking in the workplace.

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

The current body of empirical research regarding the impact of trust in the cybersecurity commitment of institutions on digital payment usage has focused solely on a macro-level analysis, overlooking the intricate dynamics between institutions' cybersecurity commitments and the trust levels of digital payment users. In light of this limitation, this study aims to offer a more comprehensive understanding of this complex relationship.

A case study was conducted on digital payment users in India through the critical realist lens. To gather data, interviews and focus group discussions were conducted with digital payment users from various regions of the country.

The citizen-centric outcomes of the national cybersecurity commitment (performance and responsiveness) are the most prominent and impactful trust indicators. These outcomes play a crucial role in shaping digital payment users' perception and trust in the cybersecurity commitment of public institutions. Individuals' value positions also influence trust judgments, as it is essential to recognize the value tensions that may arise due to security implementation and their congruence with citizens' values.

The findings of this study have significant implications for policymakers. They are potentially an artifact of the security and perception of digital payment users and the cultural uniqueness of digital payment users in India.

The study proposes a holistic understanding of the relationship between institutions' cybersecurity commitments and the trust levels of digital payment users. It offers a qualitative evaluation of how digital payment users perceive and construe efficient information security management implemented by public institutions.