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This study aims to examine the consequences of work–family conflict and explore the mechanism by which it influences organizational citizenship behavior from the perspective of changes in and preservation of family well-being (emotional resources).

Work–family conflict has always been an important research topic in the field of organizational behavior; scholars have studied the relationship between it and organizational citizenship behavior from different perspectives. To better understand the mechanism of work–family conflict on organizational citizenship behavior, we use a longitudinal design and analyze the multi-stage matching data of 209 employees and their superiors from six cities in southern China. The authors construct a theoretical model based on the conservation of resources theory to explore the mechanism by which work–family conflict influences organizational citizenship behavior when taking employees’ family well-being as a mediator and work–family segmentation preference as the boundary condition.

Work–family conflict has a significant negative effect on family well-being and this effect is moderated by work–home segmentation preferences. Work–family conflict also has a significant indirect effect on organizational citizenship behavior through family well-being and this indirect effect is enhanced by an increase in the level of preference for work–home segmentation.

This study enriches our knowledge of the moderating variables in the study of work–family relationships from the perspective of individual personality traits. It also provides a new perspective for the study of such relationships in the context of Chinese family culture.

Shanghai ANE Logistics Co., Ltd., established on June 1, 2010, is a business of road part-load logistics for goods from 5 to 300 kilograms. Mr. Wang Yongjun and his management team have spent five consecutive years building ANE into the biggest part-load franchising network in China, and set up a brand new business model, through integration of traditional transport lines, part-load express network and information technology platform.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

In today's competitive business environment, understanding how leadership traits shape outcomes is critical. Chief executive officer (CEO) narcissism, an intriguing and debated trait, raises questions about its impact on organisational behaviour, particularly regarding entrepreneurial orientation (EO). This study aims to examine how CEO narcissism affects EO, both as aggregate and specific measures, encompassing internal and external growth. It also considers the organisational context by examining how factors such as capital intensity, firm ownership and CEO duality moderate this relationship.

To test the hypotheses, the authors used a sample of firms drawn from China's ChiNext database (2008–2017). After an initial screening, the final sample consists of 251 CEOs from 239 companies. Data on CEO narcissism are collected from the firm's official website and major online sources, whilst additional data are extracted from the WIND daabase. The authors use multiple regression and ordinary least squares (OLS) for data analysis.

The results show that CEO narcissism leads to external asset growth investments but not internal research and development (R&D). There is a positive relationship between CEO narcissism and EO as an aggregate measure and also different managerial discretions play varying roles in the relationship. Specifically, capital intensity weakens this relationship, but state ownership strengthens it.

This study helps to clarify the relationship between CEO narcissism and EO and advances the literature by showing that firms' EO actions may take various forms of innovation and venturing as new entry initiations of EO. The study findings have important implications for firms to capitalise on narcissistic CEOs' entrepreneurial tendencies, balance internal R&D and external asset growth and leverage various managerial discretions.

Traditionally, demographic factors have been recognized as important factors of social capital accumulation. Owing to the differences in social structure and relationships resulted from the Internet development, the social capital accumulation mechanism is likely different. Hence, this study investigated the significance of the demographic factors and the Internet-related factors (Internet mobilization, collective identity, and digital literacy) of social capital accumulation nowadays, so as to understand the factors contributing to social capital accumulation nowadays, and reflect upon the applicability of traditional social capital accumulation mechanism.

There were 1,747 participants aged between 13 and 30 taking part in this quantitative study. Correlation analysis was performed to find out the relationship of participants' demographic background and Internet-related factors with offline and online social capital. Structural equation modeling, hierarchical regression analysis, and mediation analysis was performed to investigate how these factors were related to the social capital accumulated from the Internet.

Results showed that demographic background and engagement in Internet activities affected the acquisition of social capital from the Internet. Digital literacy displayed the largest mediating effect on online social capital accumulation. Corresponding implications were discussed.

Informed by the literature and theories of social capital, this study investigates the mechanism of online social capital accumulation by exploring its contributing factors.

The study explores the impact of social media-induced social comparison on impulse travelling, drawing upon social comparison theory. It thoroughly examines the intermediary functions of fear of missing out (FoMO) and compulsive use of social media, alongside exploring the moderating impacts of self-esteem and self-control within this dynamic process.

To meet the objective, we conducted a survey of 382 social media users among Indian millennial tourists. The analysis has been done using SPSS (AMOS 24) and Process macro (model 1) for moderation effect. Purposive and snowball sampling techniques have been employed for data collection.

The results indicate a positive influence of social comparison on impulsive travel. Additionally, the findings suggest that FoMO and the compulsive use of social media serve as serial mediations on the link between social comparison and impulse travelling. Moreover, self-esteem has shown a negatively significant relationship between social comparison and FoMO. Furthermore, self-control has also been found to have a negatively significant effect on the relationship between FoMO and the compulsive use of social media.

The study’s findings offer valuable guidance for destination administrators. It suggests that administrators should refrain from engaging in aggressive and overly tailored marketing tactics. Instead, they should focus on sharing real and authentic stories that resonate with travellers, and administrators can mitigate the effects of social comparison and discourage impulsive travelling.

This study delves into an unexplored realm in digital marketing literature, shedding light on how social comparison on social media influences the impulsive travelling of Indian millennial tourists. This study is an inaugural attempt to formulate a theoretical framework within the scope of the tourism sector.

Thirty years of rapid development and economic change have created organizations and work relations in China that would have been unthinkable at the start of transition. In December of 1978, the Chinese Communist Party agreed with Deng Xiaoping to allow agricultural privatization, a stark contrast to the communes of Mao Zedong's era. This change established the financial foundation that would lead to development in eastern, coastal cities and that would ultimately fuel an extraordinary transformation of China's economy and its global position. As a result, organizational structures have changed, and new organizational forms have emerged. There have also been dramatic changes in the way work organizations behave and in the nature and implications of work. This volume provides a glimpse into the state of organizations and work at the 30-year mark. The contributors are top scholars in the field, including many who have observed and studied China's transition for decades, who are drawing on some of the most up-to-date and innovative data sources available. The chapters are samples of the current work of these researchers that, taken together, provide a snapshot of the state of research on China's organizations and work behaviors as transition enters its fourth decade.

The purpose of this paper is to develop novel preventive maintenance (PM) modeling methods for a cold standby system subject to two types of failures: random failure and deterioration failure.

The system consists of two components and a single repair shop, assuming that the repair shop can only service for one component at a time. Based on semi-Markov theory, transition probabilities between all possible system states are discussed. With the transition probabilities, Markov renewal equations are established at regenerative points. By solving the Markov regenerative equations, the mean time from the initial state to system failure (MTSF) and the steady state availability (SSA) are formulated as two reliability measures for different reliability requirements of systems. The optimal PM policies are obtained when MTSF and SSA are maximized.

The result of simulation experiments verifies that the derived maintenance models are effective. Sensitivity analysis revealed the significant influencing factors for optimal PM policy for cold standby systems when different system reliability indexes (i.e. MTSF and SSA) are considered. Furthermore, the results show that the repair for random failure has a tremendous impact on prolonging the MTSF of cold standby system and PM plays a greater role in promoting the system availability of a cold standby system than it does in prolonging the MTSF of system.

In practical situations, system not only suffers normal deterioration caused by internal factors, but also undergoes random failures influenced by random shocks. Therefore, multiple failure types are needed to be considered in maintenance modeling. The result of the sensitivity analysis has an instructional role in making maintenance decisions by different system reliability indexes (i.e. MTSF and SSA).

This paper presents novel PM modeling methods for a cold standby system subject to two types of failures: random failure and deterioration failure. The sensitivity analysis identifies the significant influencing factors for optimal maintenance policy by different system reliability indexes which are useful for the managers for further decision making.

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual historical figures cultures. The purpose of this paper is to determine how the former residences respond once the historical figures living there have passed.

The history of human culture and progression of urban construction – which are submerged in societal transformation – is recorded for old Beijing city. Narrative space theory is used and methods such as a content analysis, map overlay and the Geographic Information System are employed to analyse the selected 300 former residences of historical figures in old Beijing city.

The results are as follows: the political setting played a key role in the evolution process, three political narrative areas in the inner city and one cultural narrative area in the outer city form the narrative spatial structure of the former residences of historical figures, “government construction” and “resident construction” are the main reasons for the loss and destruction of narrative spaces and ordinary life is an important channel for showcasing the history of former residences. The narrative spaces of these residences carry double histories, namely, the development of human history and of city construction.

Different from former studies that focus on the preservation of the single historical building, this study explores the integral logic of historic buildings in the whole city through narrative space theory to get a combination of culture and space.

The modeling cost of the gradient-enhanced kriging (GEK) method is prohibitive for high-dimensional problems. This study aims to develop an efficient modeling strategy for the GEK method.

A two-step tuning strategy is proposed for the construction of the GEK model. First, an auxiliary kriging is built efficiently. Then, the hyperparameter of the kriging model is served as a good initial guess to that of the GEK model, and a local optimal search is further used to explore the search space of hyperparameter to guarantee the accuracy of the GEK model. In the construction of the auxiliary kriging, the maximal information coefficient is adopted to estimate the relative magnitude of the hyperparameter, which is used to transform the high-dimension maximum likelihood estimation problem into a one-dimensional optimization. The tuning problem of the auxiliary kriging becomes independent of the dimension. Therefore, the modeling efficiency can be improved significantly.

The performance of the proposed method is studied with analytic problems ranging from 10D to 50D and an 18D aerodynamic airfoil example. It is further compared with two efficient GEK modeling methods. The empirical experiments show that the proposed model can significantly improve the modeling efficiency without sacrificing accuracy compared with other efficient modeling methods.

This paper developed an efficient modeling strategy for GEK and demonstrated the effectiveness of the proposed method in modeling high-dimension problems.