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The purpose of this case study is to test a moderated mediation model linking employees' perceived HRM practices to organizational citizenship behaviours (OCB) with perceived insider status as the mediator and emotional exhaustion as the moderator in a Chinese high-tech organization.

A sample of 417 Chinese employees were recruited from a large Chinese high-tech company to participate in a paper-and-pencil survey, and mediation and moderation were analysed using PROCESS macro for SPSS.

Perceived insider status partially mediates the relationship between perceived HRM practices and OCB, and emotional exhaustion moderates the relationship between perceived insider status and OCB such that the strength of the relationship is stronger in employees with low emotional exhaustion levels than in employees with high emotional exhaustion levels.

There is a need for organizations to promote the physical and psychological well-being of its employees in order to maximize the effectiveness of HRM practices.

This case study provides novel insights into how employees' perceived HRM practices elicit OCB and its boundary conditions in collectivistic cultures.

The purpose of this paper is to explore the Chinese leader–follower interaction model in school cases considering followers’ effect at varying social distances.

This study uses a case study approach.

First, Chinese leader–follower interactions in school cases are flexible in practice. Second, within leader–follower flexible interactions, contradictory perceptions and field-of-work consciousness foster different behavior choices between leaders and followers. Third, perceptions concerning the proximity of leaders to followers are positively influenced in relation to hierarchical distinctions and negatively influenced owing to private connections. Finally, the perceived leader distance of leaders from followers further influences the contradictory perceptions and field-of-work consciousness of leaders and followers and positively influences the degree of flexible leader–follower interaction.

This study examined a single institution; hence, results may have been influenced by school-specific features and conditions. Future research should study more organizations to explore whether their unique characteristics and contexts could affect leader–follower interactions, thus providing more generalized and universally applicable conclusions.

First, this study proposed a leader–follower flexible interaction model in school cases and the concepts of field-of-work consciousness and contradictory perceptions, exploring the active effects of followers in the leadership process to offer guidance toward better understanding the leadership process. Second, it was found that private connections between leaders and followers, as well as hierarchical differences, influenced the perceptions of both leaders and followers concerning leader distance in a Chinese context, and the influence of leader distance on leader–follower interactions was also analyzed.

The purpose of this study is to explore the categories of leader traits, their generation and their relationships in leaders’ socialization.

The authors take the case study method, which is the most suitable method to answer research questions on why and how to fulfill the study purpose on the basis of the case of Ruimin Zhang.

Leader traits are classified into four categories with respect to socialization, namely, root trait, driving trait, thinking trait and affair trait. The root trait and the driving trait form from the leader’s insight with the impact of key events, mutually promote and consolidate each other, and together derive the thinking trait and the affair trait on the basis of critical events, culture, family, education, etc. The thinking trait is the premise of the affair trait to be expressed in leadership behavior. The root trait and the driving trait together determine a leader’s growth direction and efficiency and can distinguish leaders from non-leaders. The thinking trait and the affair trait together determine the pattern and effectiveness of leadership behavior and can distinguish effective leadership from ineffective leadership.

This study transcends prior integral leader trait research by categorizing leader traits from the socialization perspective, makes a clear delineation on the interrelationships among categories of leader traits, analyzes their holistic functions on the leaders, reveals the formation and relationship mechanism of leader traits and identifies the types of leader traits that can work as the standards for distinguishing effective leaders from ineffective leaders or non-leaders.

This study promotes the development of the leader trait theory in the classification, formations, relationships and overall effect of leader traits.

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.

In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.

The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.

This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.

The purpose of this paper is to conceptualize the indigenous concept of suzhi at individual and organizational levels, and identify its dimensions for human resource management (HRM) research and practice in China.

Based on a comprehensive review of suzhi literature, Chinese cultural and historical literature, as well as Western mainstream HRM research, a multidimensional suzhi framework is conceptualized.

As an indigenous expression, suzhi can be and has been adopted for Chinese HRM research and practice. As a multidimensional construct, one’s cognitive suzhi is jointly determined by corresponding moral suzhi, wenhua (knowledge-based) suzhi and zhuanye (professional) suzhi. Cognitive suzhi, in turn, determines one’s behavioral suzhi that drives employees to enhance organizational performance, and this relationship is moderated by psychological suzhi.

The proposed framework provides new insight for Chinese indigenous management research, particularly in developing suzhi measurement for different dimensions. It also informs HRM practices in recruiting, selection, performance analysis and employee career development.

The complexity of suzhi dimensions from an organizational HRM perspective is analyzed. The resulting suzhi framework offers new insight for HRM research and practices in China.

This paper examines the impact of livestock environment regulations (LERs) on the location dynamics of the livestock farming industry. Specifically, it tests whether a “pollution haven effect” (PHE) exists in the Chinese livestock industry.

The authors manually collected LERs data based on the frequency of livestock-related vocabulary in government work reports from 279 prefecture-level cities from 2010 to 2017. Using China's implementation of LERs since 2014 as a natural experiment, the authors employed difference-in-difference (DID) to avoid the endogeneity problem.

LERs have led to a decline in livestock production in regulated areas. Moreover, compared with areas with more stringent LERs – southern China and developed areas, areas where LERs are less stringent – northern China and undeveloped areas, attract more livestock industry. As a result, people in northern China and undeveloped areas are exposed to higher livestock pollution.

First, most empirical studies on PHE focus on industrial firms. PHE in the livestock industry has received limited attention. This paper aims to fill this gap. Second, this paper regards LERs as an endogenous process and uses the DID method to generate unbiased results. Third, this paper introduces a novel measurement of LERs based on the frequency of livestock-related vocabulary in government work reports from each prefecture city. Fourth, this paper uses prefecture-level data to analyze the PHE of LERs, and thus obtains more reliable results.

The aim of this paper is to develop a redundancy‐resolution (RR) algorithm to optimize the joint space trajectory of the six‐rotation‐axis industrial robot as performing arc‐welding tasks.

The rotation of the tool around its symmetry axis is clearly irrelevant to the view of the task to be accomplished besides some exceptional situations. When performed with a general 6‐degrees‐of‐freedom (DOF) manipulator, there exists one DOF of redundancy that remains. By taking advantage of the symmetry axis of the welding electrode, the authors decompose the required instantaneous twist of the electrode into two orthogonal components, one lying into the relevant task subspace and one into the redundant task subspace, respectively. Joint‐limits and singularity avoidance are considered as the optimization objectives.

The twist‐decomposition algorithm is able to optimize effectively the joint space trajectory. It has been tested and demonstrated in simulation.

A new RR algorithm is introduced for the six‐rotation‐axis industrial robot performing welding tasks. A new kinetostatic performance index is proposed on evaluating the kinematic quality of robotic postures. It can also be used in other applications like milling, deburing and many other tasks requiring less than 6‐DOF in tool frame.

The purpose of this paper is to develop a model to help RTC managers in the technological and R&D decisions and bets so as to change the perceived value of the R&D projects of the centres. To achieve this aim, the paper investigates the different models for the valuation of intangible assets.

The paper presents a single case study and focusses on creating a useful IC valuation model for the centre, using existing methods and frameworks in IP and IC fields.

The paper presents a new method for the calculation of IC applied to a RTC in ICT sector, in which the valuation of the IP is included (software libraries) and the KM and the peculiarities of these kinds of organisations are explained. The model is based on Edvinsson and Malone (1997) and Leitner (2005).

Although the use of a single case provides rich data, it is also limits the generalisability to other RTCs. Another limitation is that not all existing methods were explained. This new method constitutes a first proposal for the IP and IC valuation in RTCs and further discussion and development would be carried out in the future.

The results suggest an IP and IC measurement model to improve the strategic and technological decisions making.

This paper may favour the competitiveness of companies engaged in intangible assets (knowledge, R&D) and the negotiation of the contracts since it arrives to determine a value for the intellectual property (software libraries) and intellectual capital.

This paper proposes an IC Model orientated towards an RTC context and to provide a value perspective for them. The authors are practitioners and the model is in use.

This paper aims to straighten out the research progress in the field of maker education, summarize the research hotspots and frontiers of maker education at home and abroad and provide path optimization suggestions for the research and development of this field.

In total, 751 pieces of domestic and the foreign maker education research literature from 2014 to 2021 are retrieved and screened, and literature analysis methods such as keyword analysis and clustering map analysis are used to quantitatively analyze the quantity distribution, published journals, core authors, research institutions and subject keywords of the maker education literature.

It is found that research in this field is still in the development stage, but the pandemic has severely inhibited maker education and related research. Frontiers at home and abroad have begun to pay attention to the impact of humanistic care on maker education. Strengthening the dialog between multidisciplinary theories requires cross-disciplinary research. Regional and cross-field cooperation and fully grasping the actual situation and constraints of the development of maker education are the cornerstones of bold innovation in maker education research.

This paper uses bibliometric analysis to reveal the severe challenges to the development of maker education due to the normalization of the epidemic. By excavating the research hotspots and research frontiers in this field, it fills the gap that the current research in the field of maker education has not yet formed a complete theoretical framework and evaluation system.

In order for a software system to better serve the user, it should be able to adjust its behavior according to the changing needs in the environment. Oftentimes, selecting a particular action may depend upon various non‐functional requirements (NFRs) such as safety, cost, and so on. In the past, the many possible alternatives for an adaptation action by and large have not been considered systematically and rationally, keeping various NFRs in mind, hence, resulting in low‐level of confidence that such an action is indeed a best possible one that is really desirable. The purpose of this paper is to present a goal‐oriented approach to select alternative(s) based on a particular contextual event, while considering important NFRs.

The paper proposes a goal‐oriented approach in which various NFRs are treated as softgoals to be satisficed and used in exploring, analyzing and selecting among possible adaptation alternatives, in consideration of the particular contextual event.

Without the goal‐oriented methodology, which offers an ontology enriched with the notion of goals for contextual information and also integrates rules for triggering adaptation, the authors feel, through their scenario study applied to their smart‐phone application, that some critical issues might not have been considered in building a usable, useful system.

The concepts introduced in this paper provide a systematic and rational approach to select adaptation alternative(s), considering NFRs along with detecting a contextual event.