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The purpose of this paper is to test a mediated moderation model of the joint influence of abusive supervision, high-performance work systems (HPWSs) and organizational commitment and intention to leave on employee silence.

Data were collected from 456 employees and 78 human resource managers in 78 Chinese organizations.

The results revealed that abusive supervision led to subordinate silence, and HPWSs intensified this effect. In addition, such moderating effect of HPWSs was accounted for by employees’ organizational commitment and intention to leave.

To reduce the occurrence of employee silence, organizations should not only monitor and restrain abusive supervisory actions, but also be aware of subordinates’ work attitudes driven by organizational HPWSs.

This is the first study which demonstrates that HPWSs can foster employees’ organizational commitment and hinder their intention to leave and consequently strengthen the relation between abusive supervision and employee silence.

This study empirically explores how firms configure the strength and the temporal and spatial features of corporate volunteering (CV) events to promote corporate reputation (CR).

Using event system theory as a framework and applying fuzzy-set qualitative comparative analysis (fsQCA) to 385 firms and 2,783 public respondents, this study explores the configurational effects of five elements of CV events—employee engagement, customer engagement, meagre incentive, duration and scope of influence—on two types of CR: capability reputation (CAR) and character reputation (CHR).

The results indicate that (1) the impact of volunteering on CR is not only configurational in nature, but also characterised by equifinality (i.e. the presence of multiple paths to success); (2) with meagre incentive and in the absence of scope-of-influence support, long-term employee and customer engagement in CV is sufficient to achieve high CAR; (3) adequate and diverse incentives, high employee engagement and a sufficiently broad scope of influence work well with either high customer engagement or long duration to achieve high CAR and CHR, respectively; (4) there are identical configurations that can achieve high CAR and CHR.

This study contributes to the CV and CR literature by extending the application of event system theory to proactive events.

The purpose of this study is to empirically explore how firms configure centrifugal and centripetal forces in promoting breakthrough innovation (BI), thus improving their strategic performance (SP) in the artificial intelligence (AI) context.

This study applies the centrifugal and centripetal forces model to a survey sample of 285 Chinese AI firms. Fuzzy-set qualitative comparative analysis (fsQCA) and propensity score matching (PSM) are integrated to explore the configurational effects of three centrifugal forces—the autonomy of technical experts, knowledge search and alliance network—and two centripetal forces—strictness of organisational institutions (SOI) and human–human–AI collaboration (HHAC)—on BI, examining whether the configurations that enhance BI can further improve SP.

The results indicate that the strictness of innovation institutions (SII) and strictness of ethical institutions (SEI) are equally important for determining SOI. Three configurations can improve BI when SOI and HHAC are the core conditions; only one of three configurations can further improve SP significantly.

By introducing SOI composed of equally important levels of SII and SEI and HHAC, this research is one of the few empirical studies to explore the mechanisms behind the impact of centrifugal and centripetal forces on BI and SP, which may help researchers and managers address innovation challenges in the AI context.

Matching with the timeline of major events in China, as well as major shifts in China’s human research management, the purpose of this paper is to present the comparisons of achieving styles among Chinese millennial employees, millennial university students and Generation X employees.

Drawing from the achieving styles literature as well as the life course theory, this study first proposes hypotheses on specific differences in nine achieving styles. The authors tested by using data from 889 millennial employees and 364 millennial students from five cities in China.

The results showed that the power direct achieving style stood out for the Chinese millennials, and the competitive direct achieving style ranked higher for Generation X. Moreover, millennial employees had higher scores for all nine achieving styles than millennial students.

This study advises that when motivating Chinese millennial employees, human resource managers can create a competitive environment and provide career planning guidance, and that to better assist millennial university students to socialize, human resource managers can develop matched internship programs.

The paper contributes to the life course literature and the achieving styles literature by comparing the differences among Chinese millennial employees, university students and Generation X.

The topic of employees’ taking charge behaviors has garnered increasing interest in both practical and academic fields. Leaders play a critical role in influencing followers’ taking charge behaviors, yet few studies have explored the predicting role of benevolent leadership. Drawing from proactive motivation literature, this paper aims to investigate a moderated mediation model that examines work engagement as the mediator and role-breadth self-efficacy as the moderator in the relationship between benevolent leadership and taking charge.

Matched data were collected from 297 followers and their group leaders in three subsidiaries of a large telecommunication company in China. The authors used hierarchical linear modeling to test the hypotheses.

The results revealed that benevolent leadership was positively related to followers’ work engagement and consequently their taking charge behaviors. Moreover, such moderated mediation relationship was stronger among followers who had low rather than high levels of role-breadth self-efficacy.

The primary contribution of this study is building a contingent model for the effect of benevolent leadership on follower taking charge and thereby extending the nomological networks of both benevolent leadership and taking charge literatures. Another contribution is that this research provides a new perspective to understand how leadership leads to followers’ taking charge behaviors.

This is the first study to investigate how and when benevolent leadership predicts follower taking charge.

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

A flexible and realistic linguistic assessment approach is developed to provide a mathematical tool for synthesis and evaluation analysis of nuclear safeguards indicator information. This symbolic approach, which acts by the direct computation on linguistic terms, is established based on fuzzy set theory. More specifically, a lattice‐valued linguistic algebra model, which is based on a logical algebraic structure of the lattice implication algebra, is applied to represent imprecise information and to deal with both comparable and incomparable linguistic terms (i.e. non‐ordered linguistic values). Within this framework, some weighted aggregation functions introduced by Yager are analyzed and extended to treat these kinds of lattice‐value linguistic information. The application of these linguistic aggregation operators for managing nuclear safeguards indicator information is successfully demonstrated.

There is little doubt that the explosive growth of the cyberspace has provided a wealth of opportunities for a broad range of legal and illegal enterprises. One of the characteristics of the cyberspace is that it removes many barriers (e.g. geographical, accessing potential customers, cost of entry) from the path of savvy entrepreneurs. As such, a new particular brand of entrepreneurs has been born – these are entrepreneurs working at the limits of legality or plainly outside any legal frameworks. The purpose of this work is to explore the area of illegal cyber-entrepreneurship and to illustrate some of the factors that have contributed to its explosive growth over the last two decades.

The work is utilising case studies drawn from literature and news sources to illustrate the theoretical concepts that are being explored. The literature consulted in this work supports the discussion around the areas of entrepreneurship, cyberspace and various aspects related to illegal exploitation of the cyberspace.

The positioning of illegal enterprises within existing theoretical frameworks is explored and a modelling of the characteristics of such enterprises is being proposed. The duality of the opportunities available within the cyberspace is illustrated, with an emphasis on the fact that there will always be a ‘gap’ between the opportunities offered by the cyberspace and the possible illegal nature of some of the entrepreneurial activities that are taking place in this space.

This work explores and positions the illegal entrepreneurial activities taking place in the cyberspace. This contributes to the advancement of knowledge in this area. Given the fast moving nature of this area, there are opportunities for updating this work on a regular basis.

This chapter explores collective information processing among black-hat hackers during their crises events. The chapter presents a preliminary study on one of Tor-based darknet market forums, during the shutdowns of two cryptomarkets. Content and network analysis of forum conversations showed that black-hat users mostly engaged with rational information processing and were adept at reaching collective solutions by sharing security advices, new market information, and alternative routes for economic activities. At the same time, the study also found that anti-social and distrustful interactions were aggravated during the marketplace shutdowns. Communication network analysis showed that not all members were affected by the crisis events, alluding to a fragmented network structure of black-hat markets. The chapter concludes that, while darknet forums may constitute resilient, solution-oriented users, market crises potentially make the community vulnerable by engendering internal distrust.

Various approaches have been made to alter the vibration sensing properties of zinc oxide (ZnO) films to achieve high sensitivity. This paper aims to report the experimental study of the fabrication of precursor molar ratio concentration varied ZnO nanostructures grown on rigid substrates using the refresh hydrothermal method. The effect of these fabricated ZnO nanostructures-based vibration sensors was experimentally investigated using a vibration sensing setup.

ZnO nanostructures have been grown using low temperature assisted refresh hydrothermal method with different precursor molar concentrations 0.025 M (R1), 0.075 M (R2) and 0.125 M (R3). Poly 3,4-ethylenedioxythiophene polystyrene sulfonate, a p-type material is spun coated on the grown ZnO nanostructures. Structural analysis reveals the increased intensity of the (002) plane and better c-axis orientation of the R2 and R3 sample comparatively. Morphological examination shows the changes in the grown nanostructures upon increasing the precursor molar concentration. The optical band gap value decreases from 3.11 eV to 3.08 eV as the precursor molar concentration is increased. Photoconductivity study confirms the formation of a p-n junction with less turn-on voltage for all the fabricated devices. A less internal resistance of 0.37 kΩ was obtained from Nyquist analysis for R2 compared with the other two fabricated samples. Vibration testing experimentation showed an improved output voltage of the R2 sample (2.61 V at 9 Hz resonant frequency and 2.90 V for 1 g acceleration) comparatively. This also gave an increased sensitivity of 4.68 V/g confirming its better performance when compared to the other fabricated two samples.

Photoconductivity study confirms the formation of a p-n junction with less turn-on voltage for all the fabricated devices. A less internal resistance of 0.37 kΩ was calculated from the Nyquist plot. Vibration testing experimentation proves an increased sensitivity of 4.68 V/g confirming its better performance when compared to the other fabricated two samples.

Vibration testing experimentation proves an increased sensitivity of 4.68 V/g for R2 confirming its better performance when compared to the other fabricated two samples.