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This paper proposes that ethnic identity and identification in the modern nation-state is a process of dialogical interaction between self-perceived notions of identity and sociopolitical contexts, often defined by the state. Each example of ethnic identification has at least two levels of discourse, articulated internally and externally. As suggested by Bakhtin, whose study of Dostoevsky posed fundamental questions of self and society, identity and ideology: The endlessness of the external dialogue emerges here with the same mathematical clarity as does the endlessness of internal dialogue. … In Dostoevsky’s dialogues, collision and quarrelling occurs not between two integral monologic voices, but between two divided voices quarreling (one of those voices, at least, is divided). The open rejoinders of the one answer the hidden rejoinders of the other (Bakhtin, 1981 [1963], pp. 253, 254).

Analytical methods are widely used in heat and fluid flow; the purpose of this paper is to couple Taylor series method and Bubbfil algorithm to solve nonlinear differential equations.

A series solution is obtained with some unknown constants, which can be determined by incorporating boundary conditions, and the constants are calculated by the Bubbfil algorithm.

This paper gives an analytical approach to a nonlinear equation arising in porous catalyst using Taylor series and Bubbfil algorithm, and a high accuracy can be achieved.

The coupled method of Taylor series and Bubbfil algorithm is a powerful method for nonlinear differential equations.

The proposed technology can be used in various numerical methods.

A new analytical method is proposed based on Taylor series and Bubbfil algorithm, which is a development of Newton’s iteration method and an ancient Chinese algorithm. The solution process is simple and easy to follow.

Every student knows Newton’s iteration method from a textbook, which is widely used in numerical simulation, what few may know is that its ancient Chinese partner, Ying Buzu Shu, in about second century BC has much advantages over Newton’s method. The purpose of this paper is to introduce the ancient Chinese algorithm and its modifications for numerical simulation.

An example is given to show that the ancient Chinese algorithm is insensitive to initial guess, while a fast convergence rate is predicted.

Two new algorithms, which are suitable for numerical simulation, are introduced by absorbing the advantages of the Newton iteration method and the ancient Chinese algorithm.

This paper focuses on a single algebraic equation; however, it is easy to extend the theory to algebraic systems.

The Newton iteration method can be updated in numerical simulation.

The ancient Chinese algorithm is elucidated to have modern applications in various numerical methods.

Interorganizational knowledge sharing (IKS) is an important strategy for organizations to obtain exterior knowledge resources to enhance innovation and value co-creation in megaprojects. However, little research has deeply investigated multiple attributes of organizational motivations and the combinatorial effects of these motivations on facilitating IKS. Based on resource dependency theory, this study examined the net and combinatorial effects of four types of motivations (i.e. image motivations, reactive motivations, project-based co-creative economic motivations and cross-project co-creative economic motivations).

Questionnaire surveys were administered to 244 practitioners with over 10 years of experience in construction megaprojects. The collected data were analyzed using a partial least square-structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).

The findings of PLS-SEM support that image and project-based co-creative economic motivations positively drive IKS. The results of fsQCA reveal three types of efficacious configurations, including comprehensive benefits-integrated driven, short-term benefits-dominated driven and long-term benefits-dominated driven configurations.

This study provides insight into broadening the understanding of multidimensional organizational motivations for IKS and fostering the configurational perspective to their effects with the idea that one size does not fit all. Managers should develop effective interventions considering the combination of various motivations and use multi-layered incentive structures that reward both immediate project-specific outcomes and long-term relationship-building efforts.

This paper aims to show how to establish a variational formulation directly from the governing equations. A modified Burger equation arising in dusty plasma is used as an example to show the derivation process.

Ji-Huan He’s semi-inverse method is adopted in the derivation process. To effectively use the semi-inverse method, a potential function is introduced, and the trial functional is constructed with some nonzero parameters, which are such identified that the stationary conditions satisfy the governing equations.

The derivation is simple, and the obtained variational principle is conciser than that obtained by Kalaawy, who introduced two special functions.

This paper suggests an effective approach to the inverse problem of the calculus of variations.

The variational principle views a complex problem in an energy way, it gives good physical understanding of an iteration method, and the variational-based numerical methods always have a conservation scheme with a fast convergent rate. The purpose of this paper is to establish a variational principle for a fractal nano/microelectromechanical (N/MEMS) system.

This paper begins with an approximate variational principle in literature for the studied problem, and a genuine variational principle is obtained by the semi-inverse method.

The semi-inverse method is a good mathematical tool to the search for a genuine fractal variational formulation for the N/MEMS system.

The established variational principle can be used for both analytical and numerical analyses of the N/MEMS systems, and it can be extended to some more complex cases.

The variational principle can be used for variational-based finite element methods and energy-based analytical methods.

The new and genuine variational principle is obtained. This paper discovers the missing piece of the puzzle for the establishment of a variational principle from governing equations for a complex problem by the semi-inverse method. The new variational theory opens a new direction in fractal MEMS systems.

The purpose of this paper is to investigate how to facilitate newcomers’ career advancement within an organization and diminish their intention to quit from the perspective of socialization. In addition, the moderating role of the type of newcomers on the relationship between socialization tactics and career advancement, and consequently, on the mediating effect of newcomers’ proactive socialization behavior, will be examined.

Longitudinal survey research was conducted in the tertiary industry in four large cities of China. Regression analysis and bootstrapping method were used to verify the hypothesized relationships.

Organizational socialization tactics could have positive effects on newcomers’ proactive socialization behavior and promotion prospects. And newcomers’ proactive socialization behavior partly mediates the relationship between organizational socialization tactics and their promotion prospects. The type of newcomers moderates the relationship between proactive socialization behavior and promotion prospects and also the mediation effect of proactive behavior, which says a moderated mediating effect.

Employers should put more value on college recruitment, making good use of social media tools in particular. And they should also select applicants with proactive personality traits. Finally, a series of structured orientation programs should be implemented for all newcomers.

This study contributes evidence for career advancement as one of the distal socialization outcomes, the moderating role of the type of newcomers on the relationship between socialization and career advancement, and the classification as graduates from school and experienced newcomers from other organizations holds significance to examine newcomers’ socialization.

Because of the complexity of technological innovation and the dynamics of the technological environment, it is impossible for a single firm to have all knowledge needed for technological innovation, making it essential for firms to conduct cross-border knowledge search and integration. However, it is very difficult for firms to acquire and assimilate cross-border knowledge. The purpose of this paper is to explore how an open innovation platform (OIP) helps firms to effectively search and integrate cross-border knowledge, and to understand the key roles that OIP plays during the cross-border knowledge search and integration processes.

This paper takes the case analysis method, which provides a comprehensively understanding on the complex process of cross-border knowledge search and integration as well as the internal mechanism. Drawing on the research paradigm of Eisenhardt (1989), Bakker and Akkerman (2014), this paper analyzes and verifies the mechanism of OIP cross-border knowledge search and integration based on extensive interviews.

First, this paper analyzes the process of cross-border knowledge search and integration through Haier open partnership ecosystem (HOPE), which is theoretically divided into three stages, including motivation formation, cross-border knowledge search and integration. These three stages have been further decomposed into the following seven steps: demands discovery, problems definition, problems decomposition, resource search, resource evaluation, technology redevelopment and test. In addition, this study investigates the manifestation of interrelationships among these stages and steps, depicting the pathways through which HOPE facilitates the firm’s cross-border knowledge search and integration. The conclusions indicate that OIP timely discovers the consumer demands during the motivation formation stage, effectively decomposes problems and find related technology resources during the search stage and improves the efficacy of integration stage.

This study reveals the mechanism of OIP cross-border knowledge search and integration and draws some valuable conclusions, which contribute to the literature on cross-border knowledge search, enrich the research on problem-solving and also propose a new perspective to study the roles of OIP on innovation. However, there are still some limitations. First, this study is built on a single platform (HOPE), further studies may focus on more platforms to ensure the conclusions of this paper. Second, this study conducts data analysis using a simple encoding analysis, so it is possible that some critical information is emitted while collating and analyzing data. Meanwhile, for the research methods, qualitative and quantitative methods can be combined to analyze related issues, then the correlation and corresponding mechanism can be incorporated into the same framework to further verify the conclusions and generalize the results.

This paper theoretically analyzes how and why HOPE helps firms search and integrate cross-border knowledge. It provides not only a reference for OIP but also a proven and effective way for companies’ acquiring and integrating cross-border knowledge. Then it will further improve firms’ innovative abilities, especially disruptive innovation abilities.

Technological innovation, especially disruptive innovation is not only a driving force of firms’ sustainable development but also a vital driver of national development. This paper clarified that OIP can help firms conduct successful disruptive innovation through cross-border knowledge search and integration, which will further increase national innovative competence and improve social welfare.

This paper extends the literature on the process of cross-border knowledge search and integration, as well as the roles of OIP. From a managerial standpoint, the conclusions have practical implications for firms to successfully acquire and integrate cross-border knowledge.

This paper aims to understand the role that money plays in polygamous marriages among the Hui ethnic group in Northwest China.

This study conducted in-depth interviews, focus group discussions and observations based on snowball sampling of individuals who voluntarily agreed to participate from June to December 2010, and during the summer of 2011, in Qinghai in Northwest China. Follow-up interviews and observations were conducted in 2015.

This study examines how love and money intersect and work together to sustain the participants’ polygamous marriages. The study concludes that material desires unite love with money to make love consumable. With the help of money, love between the sexes is transformed into desirable consumption through economic activities associated with leisure, gift giving and religious beliefs to articulate individualism

This study is the first to explore money’s role in the experience of polygamy among the Hui ethnic group in China.