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The purpose of this study is to examine how the interplay of stressor (e.g. fear of missing out, FoMO) and strains (e.g. perceived social overload, communication overload, information overload and system feature overload) in social networking sites (SNS) use can contribute to users’ SNS fatigue from a configurational view.

Data were collected among 363 SNS users in China via an online survey, and fuzzy-set qualitative comparative analysis (fsQCA) was applied in this study to scrutinize the different combinations of FoMO and overload that contribute to the same outcome of SNS fatigue.

Six combinations of casual conditions were identified to underlie SNS fatigue. The results showed that FoMO, perceived information overload and system feature overload are the core conditions that contribute to SNS fatigue when combined with other types of overloads.

The current work supplements the research findings on SNS fatigue by identifying the configurations contributing to SNS fatigue from the joint effects of stressor (FoMO) and strain (perceived social overload, communication overload, information overload and system feature overload) and by providing explanations for SNS fatigue from the configurational perspective.

Grounded in the framework of social learning theory (SLT), the current study explores the impact of leaders’ unethical proorganizational behavior (UPB) on their subordinates’ self-management and moral self-efficacy, which, in turn, affect knowledge hiding and sharing among followers. This study aims to examine how instrumental thinking influences the relationship between leader UPB and subordinate behaviors, shaping knowledge sharing and hiding.

Using a longitudinal approach, this research uses a two-wave data collection strategy with a one-month interval. The study cohort comprises 378 employees drawn from technology service firms situated in China.

Empirical findings confirm that leader UPB is linked to increased follower self-management and knowledge hiding, as well as reduced moral self-efficacy. Instrumental thinking moderates these effects, amplifying knowledge hiding and diminishing moral self-efficacy while reducing knowledge sharing.

The study contributes to the existing literature on UPB by offering insights into the distinct consequences of leader UPB on knowledge-related behaviors of followers. Furthermore, the exploration of employees’ instrumental thinking in the context of leader UPB underscores the strategic manipulation of knowledge to fulfill individual goals, thereby enriching the underpinnings of the SLT. The study underscores the imperative for organizations to grasp the implications of UPB and underscores the necessity for stringent ethical frameworks to mitigate its deleterious impact.

The study contributes to the existing literature on UPB by offering insights into the distinct consequences of leader UPB on knowledge-related behaviors of followers. Furthermore, the exploration of employees’ instrumental thinking in the context of leader UPB underscores the strategic manipulation of knowledge to fulfill individual goals, thereby enriching the underpinnings of the SLT. The study underscores the imperative for organizations to grasp the implications of UPB and underscores the necessity for stringent ethical frameworks to mitigate its deleterious impact.

The present study addresses a gap in the current literature by elucidating the multifaceted outcomes of leaders’ UPB on paradoxical behaviors related to knowledge sharing and hiding among followers. This nuanced examination underscores the need to comprehend the intricate contingencies that accentuate the effects of UPB, particularly in the realm of leadership dynamics. Grounded in SLT, this study delves into leadership dynamics and ethical decision-making.

This paper aims to provide a critical reflection on the experience design of the lifestyle communities in the hospitality and tourism industry. Specifically, this paper proposes a conceptual model that governs experience design in creating unique and memorable experiences for lifestyle communities.

This paper is based on a critical analysis of emerging phenomena, related literature and researchers’ experiences and insights.

The lifestyle community is conceptualized as a group of people who share a specific interest, value or activity and the type of its existence can be classified as physical, virtual or hybrid. As the importance of experience design has been highlighted in the hospitality and tourism industry, the study provides the guest experience design framework of lifestyle communities that suggests an operationalization of experience design that touches shared values of customers within lifestyle communities.

This study introduces a framework that highlights the role of experience design in the development of lifestyle communities, thereby enriching the emerging body of knowledge. Additionally, the research illustrates how lifestyle communities diverge from traditional hospitality business models by using distinctive positioning strategies.

This study provides practical implications on how to capture the growing number of customers represented by lifestyle communities in the future. A deep understanding of frameworks may be crucial to establishing the experience design of lifestyle communities to correspond to the future of the hospitality and tourism industry.

This study remarks an initial attempt to provide a critical reflection of a rising contemporary issue: experience design and lifestyle communities. Conceptualization through a profound reflection of the issue offers insights to define existing phenomena and suggestions to capture future opportunities and actual management. Furthermore, future research directions in hospitality and tourism are elucidated by the provided conceptual frameworks.

The Soybean Producer Subsidy Policy (SPSP), an agricultural support policy enacted in China within the past few years, is designed to optimise crop planting structure. This study analyses the impact of SPSP on the crop planting structure in terms of absolute and comparative incomes and elucidates the mechanisms involved.

Utilising balanced county-level panel data from 966 counties in China’s major soybean-producing regions, spanning from 2008 to 2021, we investigate the impacts of SPSP on crop planting structure by applying a difference-in-difference (DID) model.

The findings reveal several crucial insights. First, SPSP optimises the crop planting structure in Northeast China, primarily through an expansion in the area sown to soybeans and a simultaneous reduction in the area sown to maize. Second, the impacts of SPSP gradually strengthen over time but begin to weaken by 2021. Third, heterogeneity analysis indicates that the effects of SPSP are most pronounced in Eastern Inner Mongolia, followed by Heilongjiang, Jilin, and Liaoning. Finally, SPSP incentivises farmers to expand soybean sown areas by improving absolute rather than comparative incomes from soybean cultivation.

Addressing structural contradictions within China’s food supply chain necessitates the adjustment of support policies for different crops to mitigate market distortions. Establishing a holistic agricultural support system encompassing various crops could promote sustainable agricultural practices in the future.

Our findings are valuable for policy makers in China and globally who aim to establish support systems for regional linkages that include a variety of crops.

As an unhealthy dependence on social media platforms, social media addiction (SMA) has become increasingly commonplace in the digital era. The purpose of this paper is to provide a general overview of SMA research and develop a theoretical model that explains how different types of factors contribute to SMA.

Considering the nascent nature of this research area, this study conducted a systematic review to synthesize the burgeoning literature examining influencing factors of SMA. Based on a comprehensive literature search and screening process, 84 articles were included in the final sample.

Analyses showed that antecedents of SMA can be classified into three conceptual levels: individual, environmental and platform. The authors further proposed a theoretical framework to explain the underlying mechanisms behind the relationships amongst different types of variables.

The contributions of this review are two-fold. First, it used a systematic and rigorous approach to summarize the empirical landscape of SMA research, providing theoretical insights and future research directions in this area. Second, the findings could help social media service providers and health professionals propose relevant intervention strategies to mitigate SMA.

Drawing on the self-concept-based theory, this study aims to consider subordinate moqi as a source of forming self-concept to develop a conceptual model to examine the relationships between subordinate moqi and employee creativity, including self-efficacy as a mediator and face consciousness as a moderator.

An online survey was conducted and 188 subordinate-supervisor paired samples were collected in China. This paper applied the multiple linear regression method to test the proposed hypotheses.

Results show that subordinate moqi is positively related to employee creativity, and employee self-efficacy mediates the positive relationship between subordinate moqi and employee creativity. Additionally, face consciousness moderates the positive effect of self-efficacy on employee creativity and the indirect effect of subordinate moqi on employee creativity via employee self-efficacy.

These findings suggest that employees, managers and organizations should foster subordinate moqi, especially for the managers whose subordinates have low-level creativity. Moreover, fostering subordinate moqi can enhancing employee self-efficacy and further promote employee creativity. Additionally, our findings show the moderating role of face consciousness. That is, face consciousness can be regarded as a management tool to inspire employees’ intrinsic motivation to achieve goal tasks. Especially in the Chinese context, the face culture is quite prominent.

The findings provide empirical evidence on how and when subordinate moqi promote employee creativity. This study enriches our understanding of subordinate moqi.

The surge of social media as a pivotal platform for individuals to access travel-related information has become increasingly significant. Drawing upon social-technical theory and weak tie theory, this study aims to delve into the antecedents and moderating variables shaping impulsive travel intentions within social media.

Data were collected from 696 Chinese social media users and travelers and analyzed using partial least squares structural equation modeling (PLS-SEM).

The findings indicate that information quality and social network interaction significantly influence spatial presence, thereby increasing users’ impulsive travel intentions. The moderating roles of tie strength and face consciousness are confirmed. For travelers with strong ties, their spatial presence is impacted more by social network interaction. Conversely, for individuals with weak ties, spatial presence is more influenced by information quality. In addition, travelers with heightened face consciousness exhibit a diminished susceptibility to the influence of spatial presence on their travel intentions compared to those with lower face consciousness.

The study endeavors to extend the application of the social-technical theory in the domain of tourism social media marketing by examining the interplay of technological and social attributes on impulsive travel intention. It integrates weak tie theory into the socio-technical perspective, emphasizing the importance of weak ties in the social media environment and their influence on travel behavior. In addition, this study introduces face consciousness to the mechanism, seeking to broaden the research scope and capture the nuances of specific cultural contexts. The insights contribute valuable knowledge for destinations and tourism companies to optimize social media marketing.

社交媒体作为个人获取旅行相关信息的重要平台, 其影响力日益显著。本研究基于社会技术理论和弱关系理论, 探讨社交媒体中塑造冲动旅行意图的前因和调节变量。

本研究收集了696名中国社交媒体用户和旅行者的数据, 并采用偏最小二乘法结构方程建模（PLS-SEM）进行分析。

研究结果表明, 信息质量和社交网络互动显著影响空间存在感, 从而增强用户的冲动旅行意图。研究确认了关系强度和面子意识的调节作用。对于有强关系的旅行者来说, 社交网络互动对他们的空间存在感影响更大。相反, 对于有弱关系的个体, 信息质量对空间存在感的影响更为显著。此外, 面子意识较强的旅行者在空间存在感对其旅行意图的影响上表现出更低的敏感性, 相较于面子意识较低的个体。

本研究旨在扩展社会技术理论在旅游社交媒体营销领域的应用, 通过考察技术属性与社会属性对冲动旅行意图的相互作用。研究将弱关系理论融入社会技术视角, 强调了社交媒体环境中弱关系的重要性及其对旅行行为的影响。此外, 本研究引入了面子意识的机制, 旨在拓宽研究范围, 捕捉特定文化背景下的细微差异。研究结果为旅游目的地和公司优化社交媒体营销提供了宝贵的知识。

The commercial sharing service (CSS) represents an emerging business model in which users pay a minor fee to rent a product for a short period of time. Fashion CSSs enable individuals to rent various garments and accessories with the goal of enhancing one’s public image while saving money. Marketers have strived to popularize fashion CSSs, but concerns related to contamination have thwarted their efforts. Based on face consciousness theory, this research examines how consumers’ desire to enhance their public image (i.e. to “gain face”) can attenuate the negative impacts of contamination concerns and thus facilitate fashion CSS usage.

Two scenario-based studies were conducted to collect data. Participants were recruited via online survey platforms in mainland China. The hypotheses were tested by partial least squares (PLS) path modeling and linear regression analysis.

The analysis results revealed a two-stage mediation model. Contamination concerns were found to inhibit consumers’ participation in fashion-sharing by increasing their perceived risk, which further decreased the perceived value of the CSS. However, consumers’ desire to gain face can mitigate the negative (direct and indirect) effects of contamination concerns on CSS usage, facilitating CSS adoption.

Our findings suggest that eliciting consumers’ desire to gain face can promote fashion CSS usage and attenuate the negative impacts of contamination concerns. Moreover, consumers are less risk-averse and less concerned about shared pieces being contaminated when they seek to enhance their face through fashion products. Practical implications for fashion marketers are discussed.

To ensure the stable operation of ironmaking process and the quality and output of sinter, the multi-objective optimization of sintering machine batching process was carried out.

The purpose of this study is to establish a multi-objective optimization model with iron taste content and batch cost as targets, constrained by field process requirements and sinter quality standards, and to propose an improved balance optimizer algorithm (LILCEO) based on a lens imaging anti-learning mechanism and a population redundancy error correction mechanism. In this method, the lens imaging inverse learning strategy is introduced to initialize the population, improve the population diversity in the early iteration period, avoid falling into local optimal in the late iteration period and improve the population redundancy error correction mechanism to accelerate the convergence rate in the early iteration period.

By selecting nine standard test functions of BT series for simulation experiments, and comparing with NSGA-?, MOEAD, EO, LMOCSO, NMPSO and other mainstream optimization algorithms, the experimental results verify the superior performance of the improved algorithm. The results show that the algorithm can effectively reduce the cost of sintering ingredients while ensuring the iron taste of sinter, which is of great significance for the comprehensive utilization and quality assurance of sinter iron ore resources.

An optimization model with dual objectives of TFe content and raw material cost was developed taking into account the chemical composition and quality indicators required by the blast furnace as well as factors such as raw material inventory and cost constraints. This model was used to adjust and optimize the sintering raw material ratio. Addressing the limitations of existing optimization algorithms for sintering raw materials including low convergence accuracy slow speed limited initial solution production and difficulty in practical application we proposed the LILCEO algorithm. Comparative tests with NSGA-III MOEAD EO LMOCSO and NMPSO algorithms demonstrated the superiority of the proposed algorithm. Practical applications showed that the proposed method effectively overcomes many limitations of the current manual raw material ratio model providing scientific and stable decision-making guidance for sintering production operations.

This paper aims to investigate the problem of adaptive bipartite tracking control in nonlinear networked multi-agent systems (MASs) under the influence of periodic disturbances. It considers both cooperative and competitive relationships among agents within the MASs.

In response to the inherent limitations of practical systems regarding transmission resources, this paper introduces a novel approach. It addresses both control signal transmission and triggering conditions, presenting a two-bit-triggered control method aimed at conserving system transmission resources. Additionally, a command filter is incorporated to address the problem of complexity explosion. Furthermore, to model the uncertain nonlinear dynamics affected by time-varying periodic disturbances, this paper combines Fourier series expansion and radial basis function neural networks. Finally, the effectiveness of the proposed methodology is demonstrated through simulation results.

Based on neural networks and command filter control method, an adaptive two-bit-triggered bipartite control strategy for nonlinear networked MASs is proposed.

The proposed control strategy effectively addresses the challenges of limited transmission resources, nonlinear dynamics and periodic disturbances in networked MASs. It guarantees the boundedness of all signals within the closed-loop system while also ensuring effective bipartite tracking performance.