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The purpose of this paper is to apply firework optimization algorithm to optimize multi-matching selective assembly problem with non-normal dimensional distribution.

In this paper, a multi-matching selective assembly approach based on discrete fireworks optimization (DFWO) algorithm is proposed to find the optimal combination of mating parts. The approach introduces new operator with the way of 3-opt and also uses a stochastic selection strategy, combines the discrete selective assembly problem with firework optimization algorithm properly and finds the best combination scheme of mating parts with non-normal dimensional distributions through powerful global search capability of the firework optimization algorithm.

The effects of different control parameters, including the number of initial fireworks and the coefficient controlling the total number of sparks generated by the fireworks on the evolution performance, are discussed, and a promising higher performance of the proposed selective assembly approach is verified through comparison with other selective assembly methods.

The best combination of mating parts is realized through the proposed selective assembly approach, and workers can select suitable mating parts under the guidance of the combination to increase the assembly efficiency and reduce the amount of surplus parts.

A DFWO algorithm is first designed to combine with multi-matching selective assembly method. For the case of an assembly product, the specific mapping rule and key technologies of DFWO algorithm are proposed.

This study aims to examine whether skilled female migrants can overcome gender constraints and social stigma attached to women’s service work in host societies.

Based on interviews with 40 women who moved from mainland China and entered Hong Kong’s cross-border insurance business, the study examines how highly educated young women negotiate gender expectations and mobilize social networks in doing business.

This study finds different strategies women used in mobilizing social networks and constructing gender identities: some relied heavily on the warm market – networks of their family, relatives and friends – in doing business and developed careers by performing dutiful daughters, considerate “nieces” and caring “sisters”; some women also relied on the warm market but their jobs were regarded as nonconventional, and they had to deal with suspicions of inappropriate and instrumental womanhood and tried to prove themselves and gain support in the warm market; some women relied mainly on the cold market – connections with strangers – and performed feminine affinity to expand client networks away from judgments of families and friends; and some other women chose to expand the cold market by cultivating a professional image among strangers.

The findings speak to previous research about women’s subordinate roles in migrant networks and their devalued femininity in service work by illustrating women’s diverse forms of agency in negotiating gender identities in the stratified service sectors.

This study examines the relationship between guanxi human resource management (HRM) practices and psychological withdrawal behavior and its mechanism, and examines the mediating role of psychological contract breach and the moderating role of employee resilience.

This study collected 287 three-stage questionnaires from 62 teams from public institutions, large state-owned enterprises and private enterprises in Sichuan Province, and used regression analysis, PROCESS and Amos structural equation model to test the research hypothesis.

Guanxi HRM practices positively influenced the employees’ psychological withdrawal behavior, and psychological contract breach played a mediating role in the relationship. Employee resilience not only moderated guanxi HRM practice and psychological contract breach but also moderated the mediating effect of psychological contract breach between guanxi HRM practice and psychological withdrawal behavior.

This study revealed the impact of guanxi HRM practices on employees’ psychological withdrawal behavior, which often serves as an early indicator of mental health issues. This finding has important implications for the research on relation-oriented HRM practices.

This study aims to examine why women transition from wage work to self-employed entrepreneurship, the seemingly insecure and unruly economic sector compared with the stable iron rice bowl and the fancy spring rice jobs.

Based on in-depth interviews in Zhejiang, the entrepreneurial hotbed in coastal China, this study examines the experiences of self-employed female entrepreneurs who used to work in the iron rice bowl and the spring rice jobs and explores their nonconventional career transition and its gendered implications.

This study finds that these women quit their previous jobs to escape from gendered suppression in wage work where their femininity was stereotyped, devalued or disciplined. By working for themselves, these women embrace a rubber rice bowl that allows them to improvise different forms of femininity that are better rewarded and recognized.

The study contributes to studies on gender and work by framing femininity as a fluid rather than a fixed set of qualities and fills the research gap by illustrating women’s agency in reacting to gender expectations in certain workplaces. The study develops a new concept of rubber rice bowl to describe how entrepreneurship, a seemingly women-unfriendly sphere, attracts women by allowing them to comply with, resist, or improvise normative gender expectations.

The accurate prediction of driving torque demand is essential for the development of motion controllers for mobile robots on complex terrains. This paper aims to propose a hybrid model of torque prediction, adaptive EC-GPR, for mobile robots to address the problem of estimating the required driving torque with unknown terrain disturbances.

An error compensation (EC) framework is used, and the preliminary prediction driving torque value is achieved using Gaussian process regression (GPR). The error is predicted using a continuous hidden Markov model to generate compensation for the prediction residual caused by terrain disturbances and uncertainties. As the final step, a gain coefficient is used to adaptively tune the significance of the compensation term through parameter resetting. The proposed model is verified on a sample set, including the driving torque of a mobile robot on three different sandy terrains with two driving modes.

The results show that the adaptive EC-GPR yields the highest prediction accuracy when compared with existing methods.

It is demonstrated that the proposed model can predict the driving torque accurately for mobile robots in an unconstructed environment without terrain identification.

Online business can be an attractive career choice but bears gendered implications under China’s market economy. This study aims to examine how highly educated young women negotiate their career choice of online business, given their enhanced career ambitions and the persisting conservative views of their parents. It is to be examined how these factors interact in shaping women’s strategies and commitment to their nonconventional careers.

The study draws on 23 interviews with 18 women involved in online business. The interviews were coded by themes about how women perceive and make career choices to enter online business, the influence of various motivations (e.g., economic security, decency, autonomy and earning potential) and women’s interactions with their parents under gendered social expectations. The study analyzes and categorizes women’s varied strategies and levels of commitment in taking up online business, an attractive but suspicious career for highly educated young women.

The study finds that some women chose to conduct online business as a secondary job behind their stable and formal primary job; their compromise under parents’ preferences and social expectations as “compliant daughters,” willingly or forced, coexisted with their persisting interest in online entrepreneurship. Other women, or “self-determined daughters,” embraced online business as their primary job; some benefited from parents’ tolerant views, but others needed to handle the pressure of parental disapproval by hiding or proving their nonconventional career choices worthwhile.

This study speaks to the gendered opportunity-necessity framework of entrepreneurship by illustrating women’s multiple motivations in China’s market reforms and the rising online entrepreneurship dynamics. The findings contextualize women’s career choices in different family dynamics and suggest how social expectations and gender norms are imposed and transformed, with a focus on the shifting gendered concerns of opportunity, security and decency in an era of digital economy.

Higher order statistics (HOS)-based blind source separation (BSS) technique has been applied to separate data to obtain a better performance than second order statistics-based method. The cost function constructed from the HOS-based separation criterion is a complicated nonlinear function that is difficult to optimize. The purpose of this paper is to effectively solve this nonlinear optimization problem to obtain an estimation of the source signals with a higher accuracy than classic BSS methods.

In this paper, a new technique based on HOS in kernel space is proposed. The proposed approach first maps the mixture data into a high-dimensional kernel space through a nonlinear mapping and then constructs a cost function based on a higher order separation criterion in the kernel space. The cost function is constructed by using the kernel function which is defined as inner products between the images of all pairs of data in the kernel space. The estimations of the source signals is obtained through the minimizing the cost function.

The results of a number of experiments on generic synthetic and real data show that HOS separation criterion in kernel space exhibits good performance for different kinds of distributions. The proposed method provided higher signal-to-interference ratio and less sensitive to the source distribution compared to FastICA and JADE algorithms.

The proposed method combines the advantage of kernel method and the HOS properties to achieve a better performance than using a single one. It does not require to compute the coordinates of the data in the kernel space explicitly, but computes the kernel function which is simple to optimize. The use of nonlinear function space allows the algorithm more accurate and more robust to different kinds of distributions.

The purpose of this paper is to investigate the influence of liberalization forces, political constraints (on labor decisions) and formal control mechanisms (i.e. delegation of decision authority, objective performance measurement and merit‐based rewards) on the performance of Chinese State‐owned enterprises (SOEs).

A survey instrument was used to collect data from functional managers representing over 500 SOEs. Structural equation modeling was used to analyze the data.

The findings revealed significant and positive path relationships between liberalization forces and each of the formal control mechanisms, leading to firm performance. The findings also reveal that political constraints have a significant and negative path relationship with objective performance measures and firm performance.

The evidence provided in this study adds to our understanding of the role the institutional environment plays in the structuring and management of the firm in transitional economies. The topic is of interest, given the pace of modernization of firms in emerging economies, and the differences in the institutional “rules of the game” that exist compared with developed economies. Both of these forces have the potential to affect not only the management control practices in emerging economy firms, but also other firms that do business with them.

Academic contention occurs when research evidence is amenable to more than one interpretation. China has a long tradition of Shang Que (商榷), in which authors argue for their preferred interpretation. The modern form of this tradition is the Shang Que article, which often takes the form of research papers in Chinese-language journals and which tends to be question-oriented. Shang Que articles usually take the views of a particular author or article as the focus of independent and complete criticism by another, independent, academic. This paper explains the role of Shang Que articles in Chinese scholarship and their influence on international academia.

A bibliometric analysis was used to explore the characteristics and evolution of Chinese Shang Que articles using 30,577 articles published between 1979 and 2018. Microsoft Excel and Gephi were used for data analysis and visualization.

Findings suggest a decline in the number of Shang Que articles and an increase in the number of co-authors. Shang Que articles remained particularly prominent in Philosophy and Humanities and Social Sciences, where they focused on local issues such as classical Chinese, the Sinicization of Marxism and Chinese literature. This suggests that the number of Shang Que articles is related to the degree of internationalization of a research field.

Shang Que articles, which have been influenced by academic paradigms in English, are a fusion of China's Shang Que tradition and of the modern academic system. Through considering Shang Que articles, this paper explores the benefits of local academic traditions in non-English-speaking cultures.