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This paper aims to numerically investigate the magnetohydrodynamic (MHD) convection heat transfer of nanofluid inside a differentially heated enclosure with various fin morphologies.

The fluid flow within the cavity was governed by N-S equations while it within porous medium was solved by the non-Darcy model, called the Darcy–Forchheimer model based on representative element-averaging method. Empirical correlations from experimental data are used to evaluate the effective thermal conductivity and dynamic viscosity. Relevant governing parameters, including thermal Rayleigh number (10⁵-10⁷), Hartmann number (0-50), Darcy number (10⁻⁶-10⁻¹), thermal conductivity ratio of porous matrix (1-10³), nanoparticles volume fraction (0-0.04) and topology designs of porous fins, are sensitively varied to identify their effects and roles on the fluid flow and heat transfer. Particularly, heatlines are used to investigate the mechanism of heat transport.

Numerical results demonstrate that the predictions of average Nusselt number are augmented by using more porous fins with high permeability, and this effect becomes opposite in tiny Darcy numbers. Particularly, for high Darcy and Rayleigh numbers, the shortest fins could achieve the best performance of heat transfer. In addition, the prediction of average Nusselt number reduces with an increase in Hartmann numbers. An optimal nanoparticles concentration also exists to maximize heat transfer enhancement. Finally, numerical correlations for the average Nusselt number were proposed as functions of these governing parameters.

Present work could benefit the thermal design of electronic cooling and thermal carriers in nanofluid engineering.

Present work could benefit the thermal design of electronic cooling and thermal carriers in nanofluid engineering. In addition, optimum thermal removals could enhance the lifetime of electronics, therefore reducing the cost of energy and materials.

To the best knowledge of authors, there are not any studies considering the synergetic effects of porous fins on MHD convection of nanofluids. Present work could benefit the thermal design of electronic cooling and thermal carriers in nanofluid engineering.

Although proximal row carpectomy, wrist arthrodesis and even total wrist arthroplasty were developed to treat wrist disease using bone and cartilage of the wrist, severe and complicated bone defects caused by ferocious trauma and bone tumors remain a stubborn problem for surgeons. Development and application of the three-dimensional (3D) printing technology may provide possible solutions.

Computed tomography (CT) data of three cases with severe bone defects caused by either trauma or bone tumor were collected and converted into three-dimensional models. Prostheses were designed individually according to the residual anatomical structure of the wrist based on the models. Both the models and prostheses were produced using 3D printing technology. A preoperative design was prepared according to the models and prostheses. Then arthroplasty was performed after preoperative simulation with printed models and prostheses.

The diameter of the stem and radial medullary cavity, the direction and location of the prosthesis, and other components were checked during the preoperative design and simulation process phases. The three cases with 3D printed wrist all regained reconstruction of normal anatomy and part of the function after surgery. The average increasing Cooney score rate of Cases 2 and 3 was 133.34 ± 23.57 per cent, and that of Case 1 reached 85 per cent. The average declining rate of the Gartland and Werley Score in Cases 2 and 3 was 65.21 ± 18.89 per cent, and that of Case 1 dropped to 5 per cent in the last follow-up. The scores indicated that patients experienced pain relief and function regain. In addition, the degree of patient satisfaction improved.

3D printed wrist arthroplasty may provide an effective method for severe and complicated cases without sacrificing other bones. Personal customization can offer better anatomy and function than arthrodesis or other traditional surgical techniques.

The authors study the effects of altruism and intention for succession on family firm's reputation risk-taking behaviors in Chinese publicly listed companies.

The authors use earnings management as a proxy for reputation risk in family firms, and hand-collected relationship between family members to measure the closeness of incumbent family members and their potential successors as a proxy for the altruistic degree.

Results show that, in developing countries like China, familial altruism in family firms with succession plans, which does not reduce the practice of earnings management, should be considered by practitioners while detecting it.

The hand collected data are very unique; the authors have focused on the relationship between incumbents and successors and the authors define their closeness by using genes shared between them.

The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.

By integrating case-based reasoning (CBR) and ontology technology, a multilevel assembly ontology is proposed. Under the general framework, the knowledge of the assembly domain is described hierarchically and associatively. On this basis, an assembly process case matching method is developed.

By fully considering the influence of ontology individual, case structure, assembly scenario and introducing the correction factor, the similarity between non-correlated parts is significantly reduced. Compared with the Triple Matching-Distance Model, the degree of distinction and accuracy of parts matching are effectively improved. Finally, the usefulness of the proposed method is also proved by the matching of four practical assembly cases of precision components.

The process knowledge in historical assembly cases is expressed in a specific ontology framework, which makes up for the defects of the traditional CBR model. The proposed matching method takes into account all aspects of ontology construction and can be used well in cross-ontology similarity calculations.

Due to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Scholars from various disciplines have published plenty of research results on e-participation. This paper aims to reveal the research status frontiers directly by mapping knowledge domains.

The authors take 1,322 articles on e-participation published in Web of Science from 2001 to 2017 as research object. They then run the information visualization software CiteSpace to drill deeper into the literature data.

The study found that e-participation research has the obvious interdisciplinary feature; the author and institution cooperation networks with less internal cooperation are relatively sparse; the USA ranks first in the field of e-participation research, followed by the UK, with the other countries lagged behind; and e-participation through social media is gradually becoming the new research focus.

Based on the objective data and information visualization technology, the research intuitively reveals the research status and development trend of e-participation.

More people share their tourism experiences on social media today than in the past, and as a result, more people follow these posts in their trip planning. However, studies into tourists' intention to follow such posts are scarce. Therefore, this study investigates the antecedents influencing social media users' intentions to follow tourism-related posts (TRPs) when planning their trips.

Questionnaires were collected from 402 social media users who had followed TRPs for their trip planning. Data were then analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks.

The authors found that blogger–user fit and users' involvement with TRPs influenced behavior components (attitudes toward TRPs and intention to follow TRPs) via assessment components (bloggers' credibility and content quality), and the authors developed a framework to explain this relationship.

The findings advance prior studies by investigating (1) the antecedents of intention to follow TRPs when trip planning, (2) the two main social media elements – bloggers and posts – to understanding the role of social media on travel behavior and (3) involvement with TRPs and their impacts on travel behavior. This study contributes to the research on social media and tourism marketing and proposes practical indications for bloggers, social media platforms and destination marketing organizations.

The remarkable concept of entrepreneurial orientation (EO) has attracted scholars’ attention for its relevance to a firm’s performance. Based on bibliometric and distance-based visualization of similarities (VOS) analysis, the purpose of this paper is to outline a broad-spectrum perspective of the structure of research in EO across more than 20 years of publications, identifying the most prominent journals, authors and articles in this field.

The paper uses the Web of Science Core Collection and the VOS viewer software. The analysis searches for all the documents connected to EO available in the database from 1976 to 2017. The graphical visualization maps the bibliographic data using both bibliographic coupling and co-citation data.

Entrepreneurship Theory and Practice Journal, Journal of Business Venturing and Family Business Review are the most relevant journals in the field. Among the many important authors in the EO literature, key contributors are Lumpkin, Payne, Short, Covin, Dess and Wiklund. Three different streams of research are linked to the EO concept; strategy and entrepreneurship, family business and miscellaneous work in psychometrics, methods, marketing and knowledge/capability-based approaches to organizations.

This paper contributes to EO research by providing a global perspective on the concept’s investigation, using bibliometric data and graphical networks.

This paper aims to illustrate the trends of income growth and income inequality and examines the dynamics and determinants of income mobility in rural China from 2003 to 2006.

The authors decomposed the Gini coefficient by different sources and analyzed income mobility using the method of income transition matrix. The authors then estimated the effects of demographic variables, labor migration, and other household characteristics on income growth using a dynamic panel data model.

The study obtained important findings on income mobility and income inequality in rural China. First, annual income inequality in rural China was smoothed during this period after a decline from 2003, with the largest contribution from the income of migration work. Second, income mobility remained rather stable and relatively high, with higher mobility in the interior provinces than in the coastal provinces. Third, the income levels of the poor and the wealthy households converged during this period after controlling other factors. Fourth, income growth depends on in the households' demographic composition, their human capital accumulation, and their chances of getting migration jobs.

The sound econometric methods applied to the most current rural household survey data provide important contributions to the literature of income inequality and income mobility in China.

The purpose of this paper is to review the development and potential applications of emerging information and communication technologies (ICTs) in sports. The case studies are presented in details: computer system for tracking and visualisation in TV broadcasting and players/teams performance analysis in football. The paper concludes with the authors’ opinion that future implementation of digital technologies, in the first instance, goal-line technologies, to support accurate, practical and reliable decision making in sports is highly needed and represent a basis for further increase in the commercial value of the pre-eminent global sport.

The research utilised an exploratory approach to data gathering due to the fact that the topic is new and data are difficult to collect. The topic is analysed using case study method.

The research found that there is an emerging market to extend the reach of digital technologies adapted for sports industry and sports events. Increasingly, developers are exploring and exploiting the vast potential of the ICTs to create value in the field of sports events. The development of emerging technologies create new opportunities that sports industry demands a growing range of innovative solutions for the purposes of decision making to be tested and accepted in the near future.

The research is based on data limitations related to the innovative ICT solutions, the rules of the game which significantly limit the scope for product innovation and a need to make a decision on application of an adequate solution within a short time period. In order to develop the extensive research results in the future, more information will be available after the termination of ongoing testing procedure.

It is evident that digital video processing has found many applications in sports content analysis and TV broadcasting of competitive sports. The governing bodies should be aware of their role to support successful innovation which requires the coordinated action of all the actors who play vastly different roles in its commercialisation process.

The paper emphasises how much technology has added to communication and economic potential of sports events, underlying that issue of video technology application to ease decision making in football is currently one of the most pressing matters due to constant arrival of new cases concerning “incorrect” decisions that add fuel to the controversy. The football authorities have finally recognised that the game has to be responsive to the concerns and suggestions of its customers.

The purpose of this paper is to examine the effects of lean manufacturing on firm value. In particular, it analyses the effects of R&D investment on the relationship between lean manufacturing and firm value.

In this empirical analysis of the relationship between lean manufacturing and firm value, the authors use a propensity score matching (PSM) with a difference-in-difference (DID) estimator to control selection bias and reduce endogenous problems. They also use the triple difference estimator to explore the role of R&D investment.

The results suggest that the achievement of positive and significant effects of lean manufacturing implementation on firm value for a long time and R&D can accelerate this progress.

This study highlights the role of R&D investment in accelerating the achievement of positive effects of lean manufacturing on firm value. However, the results may not be entirely generalizable because the empirical data are based solely on Chinese manufacturing firms.

Managers need to perform long-term planning while implementing lean manufacturing and should not over-expect a significant short-term improvement in performance. The authors also recommend that enterprises should pay attention to R&D while implementing lean manufacturing.

This paper may be the first study to empirically examine the relationship between lean manufacturing and firm value in China by combining a PSM model with the DID estimator to reduce endogenous problems.