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This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.

In this study, 516 questionnaires were collected using the interval data method to explore the triggering mechanisms and paths of emerging quantum leadership on constructive deviance.

The findings indicate that quantum leadership promotes constructive deviance through facilitating recovery experience (affective path), job crafting (task path) and the chained mediation path between the two. Additionally, the moderating effect of openness to experience strengthens the pathways between quantum leadership and recovery experience, and between quantum leadership and job crafting.

This study focuses closely on the mechanism of leadership behavior on employees, neglecting the psychological state and behavior of the leader as a key resource element in the work environment. Quantum leadership emphasizes value-bound characteristics, so the role played by quantum leaders may vary in different cultures and values.

First, this study calls for the organizational management focusing on the advantages of quantum leadership thinking and its positive effects in practice. Second, the mediating mechanisms of recovery experience and job crafting provide insights into how quantum leadership can be used to enhance constructive deviance. Third, this study elucidates how individual responses to organizational environment and leadership style vary in management practices. Our study helps managers better understand how individual characteristics, such as openness to experience, influence managerial behavior.

This study enriches the qualitative research on emerging “quantum” perspectives of leadership, expands the mechanism of employee constructive deviance and highlights the need for organizations to take measures that encourage constructive deviance by their employees, as this can lead to high-quality and long-term growth.

Based on conservation of resources theory, authors revealed the mechanisms by which quantum leadership influences employees’ constructive deviance, confirming the mediating role of recovery experience and job crafting as well as the moderating role of openness to employee experience. We explored the moderating mechanisms of the individual trait of openness to experience in the quantum leadership-to-job crafting and the recovery experience-to-job crafting.

The purpose of this study is to investigate whether the convergence of linguistic features between physicians and patients with chronic diseases facilitates the effectiveness of physician–patient communication in online health communities (OHCs). Drawing on communication accommodation theory (CAT), the authors develop a research model that illustrates how the convergence of semantic features (language concreteness and emotional intensity) and stylistic features (language style) influence patient satisfaction and compliance. The model also incorporates the moderating effects of the physician's social status and the patients' complications.

The data, collected from a prominent online health platform in China, include 15,448 consultation records over five years. The logistic regression is leveraged to test the hypotheses.

The findings reveal that convergent semantic features, such as language concreteness and emotional intensity, along with stylistic features like language style, enhance patient satisfaction, which in turn leads to increased compliance. Additionally, the physician’s social status strengthens the effect of convergent emotional intensity but weakens the effect of convergent language concreteness. The physician’s social status has no significant impact on the link between convergent language style and satisfaction. Patients' complications weaken the effect of satisfaction on their compliance.

This study contributes to the CAT and OHC literature by enhancing the understanding of the role of linguistic convergence in the effectiveness of online physician–patient communication and provides managerial implications for physicians on how to accommodate their communicative styles toward chronic patients to improve patient satisfaction and compliance.

In this chapter, we introduce the concept of techno-constructionism that identifies with the Technical Construction of Reality (TCR) suggesting the replacement of mere constructivism or Social Construction of Reality. We discuss of course the idea of a theoretical investigation of the lifeworld or Lebenswelt through the lens of technology. Today, we are witnessing technology prevailing on most important functions and systems that were previously done in a completely different way and logic. Rapid advances in computer science have made engineering a dynamically expanding industry that has infiltrated all areas of social life. Artificial intelligence (AI)-based applications are not merely technical, but also cultural and ethical (regarding values). A new perception of reality emerges that ostracizes all kind of societal entities and human communities and alter even lifeworld itself, transforming it into a tech-lifeworld (a Technik-Lebenswelt). Against this perspective, it is important to identify and address the ethical challenges that the unavoidable evolution of technology will bring forward.

Tourist attractions promote their marketing campaigns by releasing short tourism promotional videos for their potential to promote tourists’ decision-making. However, few scholars have studied the impact of short videos of cultural heritage tourism sites on potential tourists’ destination decisions.

In this study, the Wudang Mountain Complex, a world cultural heritage site, was used as a case study, and stimulus-organism-response theory was applied to forecast the behavioral motives of prospective tourists. About 401 responses from those who watched the short videos of the Wudang Mountain Complex were collected for the structural equation modeling test.

The study’s findings have validated the link among tourists’ cultural involvement, cultural experience, positive emotions, cultural identity, destination image, cultural heritage value and destination decisions. Positive emotions and cultural heritage values directly and significantly influence decision-making. Meanwhile, cultural involvement is very important, and it indirectly influences decision-making through cultural experience, positive emotions and cultural heritage values. However, cultural identity and destination image do not significantly influence decision-making.

The research enhances comprehension of how short video promotions influence cultural heritage tourism. It sheds light on the development of tourism promotions for cultural heritage sites and the creation of short tourism videos.

Given the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.

Drawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.

The results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.

This study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

This study aims to explore the influence of extra-workplace factors, specifically work−family interpersonal capitalization, on employee green behavior. Based on the conservation of resources theory, the research sought to understand how resources gained from positive family interactions spill over into the workplace, enhancing green behavior. In addition, the study investigated the mediating role of relational energy and the moderating effects of work green climate and environmental self-accountability, providing a nuanced understanding of the mechanisms involved.

This study used a multiwave field study combined with an experimental study to investigate the impact of work−family interpersonal capitalization on employee green behavior. Data were collected in several phases to capture changes over time and to understand causal relationships. The multiwave design allowed for observing the dynamic interplay between family and work domains, while the experimental component provided controlled conditions to validate the findings. This approach ensured robust and comprehensive analysis, integrating both real-world and experimental data.

The study revealed that work−family interpersonal capitalization significantly enhances employee green behavior. Relational energy emerged as a crucial mediator in this relationship. Furthermore, the study found that both work green climate and environmental self-accountability positively moderated the relationship between relational energy and green behavior. Notably, the interaction of work green climate and environmental self-accountability further strengthened this relationship, ultimately influencing the indirect effect of relational energy on employee green behavior. These findings highlight the complex interplay between personal and organizational factors in promoting sustainable practices at work.

This study provides valuable insights into the spillover effects from family to work, emphasizing the importance of considering “nongreen” factors in understanding employee green behavior. By identifying relational energy as a key mediator and uncovering the moderating roles of work green climate and environmental self-accountability, the research contributes to the broader literature on environmental sustainability and organizational behavior. The findings suggest practical implications for organizations aiming to foster green behavior, highlighting the potential of enhancing family−work interactions and cultivating a supportive green work environment.

The main objective of this study is to assess kinship employee engagement as a mediating variable in the relationship between person–organization–fit (P-O Fit) and person–job–fit with turnover intention.

This research was conducted at creative industry micro, small and medium enterprises (MSME) in Yogyakarta, Indonesia. The number of respondents was 331 MSME employees. The distribution of questionnaires was carried out using offline and online systems through direct questions and Google forms. The data analysis tool used was structural equation modelling.

The findings of this study revealed that kinship employee engagement is proven to mediate the relationship between P-O-fit and P-J-fit on turnover intention.

This research provides a new perspective on social exchanges, namely, exchanges that are intangible based on the relationship between employees, leaders and owners of micro and small medium enterprises (MSMEs) in the form of kinship employee engagement. Employees who feel P-O Fit and P-J fit with their organizations will exhibit positive behavior in the form of kinship employee engagement.

The first practical implication is that MSME superiors/owners must pay more attention to P-O fit; one way to do this is to assess P-O fit at the recruitment and selection stage. This may be useful for organizations that hire and retain employees whose goals and values closely match those of the organization. With regard to the P-J fit relationship, and turnover intention, which turns out to have a negative relationship, this finding has implications for the formulation of policies that should not only focus on increasing the knowledge, skills and abilities of employees but also on fulfilling their wishes. For example, providing employees with training, self-development opportunities, flexible working hours and competitive salaries will strengthen their level of compatibility with their jobs, which in turn will reduce the willingness of employees to leave their jobs.

In social practice, kinship employee engagement can be applied to MSMEs. When MSME owners have limited funds, facilities, etc., to bind employees, they can apply kinship to employees so that they are more attached to MSMEs.

This study is among the first to introduce a new construct (kinship employee engagement) which is an extension of the engagement construct that is more specific and follows the MSME context, and is the first study to propose kinship employee engagement as a mediating variable in the relationship between P-O-fit and P-J-fit on turnover intention.

User engagement is critical for online health Q&A communities. Financial incentives, which vary across different communities and reward schemes, are expected to motivate such contribution behaviors. Even though financial incentives have been extensively examined in prior studies, the impact of newly designed contingent financial incentives of a new pay-for-answer reward scheme has not been empirically examined in any online health Q&A community. Given this research gap, our study aims to perform an exploratory investigation of the effects of contingent financial incentives on user engagement in terms of knowledge contribution and social interactions.

Based on expectancy-value theory and equity theory, a research model was developed to reflect the influences of contingent financial incentives on user engagement. A unique dataset was gathered from a large online health Q&A community utilizing this contingent financial incentive reward structure, and the Heckman selection model was applied using a two-step procedure to test these hypotheses. Possible endogeneity issues were also addressed in the robustness check.

Our results demonstrate that the effect of contingent financial incentives on answer quantity and quality is quadratic. Additionally, our study reveals that this contingent financial incentive enhances both comment and emotional interactions among users.

Our study enriches the literature on financial incentives, knowledge contribution and user engagement by revealing the nuanced effects of financial incentives within a novel pay-for-answer scheme. This study also offers significant implications for practitioners involved in online community incentive design.

This paper provides a thorough examination of the advancements and impacts of artificial intelligence (AI) on construction management (CM) over the past five years, particularly focusing on its role in mitigating prevalent challenges such as inefficiency and ensuring quality. By methodically reviewing and synthesizing the body of research conducted in this period, it underscores key contributions and breakthroughs in the application of AI within construction management (AICM). Additionally, the study aims to shed light on emerging trends and forecast future directions for technological innovation in the construction management sector.

Guided by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, this research conducts a bibliometric analysis of 176 relevant publications from the past five years. The analysis focuses on the adoption of AICM across three critical areas: construction equipment management, improvement of construction safety and construction cost optimization. Additionally, the study systematically identifies and examines 14 emerging themes within this domain, ensuring a comprehensive exploration aligned with PRISMA guidelines.

This manuscript summarizes recent research from the past five years in three key areas: construction equipment management, construction safety management and construction cost management within the realm of AICM. It identifies key gaps and outlines future research directions, including enhancing AI-driven equipment integration, developing sophisticated AI-based safety systems and optimizing cost management with advanced data analytics. These findings and directions are essential for steering the field toward greater digital innovation and sustainability.

This research provides a detailed analysis of the literature within the AICM domain, thoughtfully compiling significant findings and highlighting the importance of addressing user needs. The insights and recommendations shared aim to be beneficial for both academic researchers and industry professionals, contributing to the ongoing development of AICM as it moves toward a future characterized by digital innovation and sustainability.

As social networks have developed to be a ubiquitous platform of public opinion spreading, it becomes more and more crucial for maintaining social security and stability by accurately predicting various trends of public opinion dissemination in social networks. Considering the fact that the dissemination of online public opinion is a dynamic process full of uncertainty and complexity, this study establishes a novel conformable fractional discrete grey model with linear time-varying parameters, namely the CFTDGM(1,1) model, for more accurate prediction of online public opinion trends.

First, the conformable fractional accumulation and difference operators are employed to build the CFTDGM(1,1) model for enhancing the traditional integer-order discrete grey model with linear time-varying parameters. Then, to improve forecasting accuracy, a base value correction term is introduced to optimize the iterative base value of the CFTDGM(1,1) model. Next, the differential evolution algorithm is selected to determine the optimal order of the proposed model through a comparison with the whale optimization algorithm and the particle swarm optimization algorithm. The least squares method is utilized to estimate the parameter values of the CFTDGM(1,1) model. In addition, the effectiveness of the CFTDGM(1,1) model is tested through a public opinion event about “IG team winning the championship”. Finally, we conduct empirical analysis on two hot online public opinion events regarding “Chengdu toddler mauled by Rottweiler” and “Mayday band suspected of lip-syncing,” to further assess the prediction ability and applicability of the CFTDGM(1,1) model by comparison with seven other existing grey models.

The test case and empirical analysis on two recent hot events reveal that the CFTDGM(1,1) model outperforms most of the existing grey models in terms of prediction performance. Therefore, the CFTDGM(1,1) model is chosen to forecast the development trends of these two hot events. The prediction results indicate that public attention to both events will decline slowly over the next three days.

A conformable fractional discrete grey model is proposed with the help of conformable fractional operators and a base value correction term to improve the traditional discrete grey model. The test case and empirical analysis on two recent hot events indicate that this novel model has higher accuracy and feasibility in online public opinion trend prediction.