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The purpose of this paper is to investigate the effects of relational embeddedness on entrepreneurship in Taiwanese subsidiaries in China that are facing an uncertain and emerging environment.

First, four case studies are conducted to modify theoretical concepts and measuring instruments to fit them into the entrepreneurial context of multinational subsidiaries in a transitional economy. In the second stage, a survey is conducted to examine the associations between relational embeddedness and subsidiary entrepreneurship. A total of 265 executive officers, which is approximately 29 percent of 922 managers in the mailing list, reply to the questionnaire on their subsidiaries.

This study finds that subsidiary entrepreneurship has an inverse U‐shaped relationship with regards to customer or supplier relational embeddedness, a positive relationship with corporate relational embeddedness and no relationship with government relational embeddedness.

Based on this study of Taiwanese subsidiaries operating in China there is an inverse‐U‐shaped link between relational embeddedness and customers and suppliers. Hence, this study confirms that over‐embeddedness with customers or suppliers negatively influences subsidiary entrepreneurship.

The purpose of this paper is to develop a hybrid‐Trefftz (HT) finite element model (FEM) for simulating heat conduction in nonlinear functionally graded materials (FGMs) which can effectively handle continuously varying properties within an element.

In the proposed model, a T‐complete set of homogeneous solutions is first derived and used to represent the intra‐element temperature fields. As a result, the graded properties of the FGMs are naturally reflected by using the newly developed Trefftz functions (T‐complete functions in some literature) to model the intra‐element fields. The derivation of the Trefftz functions is carried out by means of the well‐known Kirchhoff transformation in conjunction with various variable transformations.

The study shows that, in contrast to the conventional FEM, the HT‐FEM is an accurate numerical scheme for FGMs in terms of the number of unknowns and is insensitive to mesh distortion. The method also performs very well in terms of numerical accuracy and can converge to the analytical solution when the number of elements is increased.

The value of this paper is twofold: a T‐complete set of homogeneous solutions for nonlinear FMGs has been derived and used to represent the intra‐element temperature; and the corresponding variational functional and the associated algorithm has been constructed.

The purpose of this paper is to explain how post-1997 Hong Kong has been perceived in Taiwan and to critically evaluate the demonstration effects of Hong Kong under the “One Country, Two Systems” policy on cross-strait relations.

“Today’s Hong Kong, Tomorrow’s Taiwan” has become a dominant discourse in cross-strait relations in recent years. The paper has adopted discourse analysis of selected texts during and after the 2014 Sunflower Movement to elucidate the disapproval of the developments of post-handover Hong Kong and the construction of the Movement’s self-identity.

It has observed the following arguments which shaped the prevailing perceptions among critics of the “One Country, Two Systems” policy: political infiltration of China in Hong Kong could be extended to Taiwan in the sense that the Beijing authorities would adopt the identical approach to manipulate Taiwan through the cross-strait trading agreements; negative perceptions and images of China and Chinese capitals as a collective aggressor and a threat, raising fear and worries in both Hong Kong and Taiwan; and Kuomintang, as a ruling party at that time under the leadership of President Ma Ying-jeoh, was dismissed by protesters as an incompetent gatekeeper and defender of Taiwan’s interests.

The pervasive sentiments and perceptions about post-1997 Hong Kong has been articulated discursively by the young activists in Taiwan and Hong Kong into a statement – “Today’s Hong Kong, Tomorrow’s Taiwan” – which has brought about a somewhat unexpected bonding effect between Hong Kong and Taiwan through a strong disapproval of “One Country, Two Systems” and the China factor, which has be reproduced, delivered and circulated in both societies since 2014.

Throughout history, from ballads to requiems, music has played an important social role in reflection on mortality. Not only do musicians articulate their angst and thoughts about death, but, in so doing, they enable listeners to explore their own feelings. While the relationship between music and mental health can be examined from a number of perspectives, two broad approaches can be taken: artist-centred approaches and listener-centred approaches. The first analyses the life and work of artists, focussing particularly on the ways in which they explore death and angst in their music. The second looks at the ways in which the life and work of an artist is interpreted by listeners. Within these general approaches, a complex set of questions emerge – often at the interface of both approaches. How is the music used by listeners in their reflection on mortality? How is music used to manage mental health? Does reflection on the life and work of an artist contribute to suicidal ideation? Is the reception of music altered by an artist’s suicide? Using both these approaches and drawing particularly on the work of Émile Durkheim, this discussion demonstrates the significance of popular music analysis for death studies, focussing particularly on the issues surrounding popular music’s relationship to suicidal ideation.

The purpose of this paper is to develop a meshless numerical method for three‐dimensional isotropic thermoelastic problems with arbitrary body forces.

This paper combines the method of fundamental solutions (MFS) and the dual reciprocity method (DRM) as a meshless numerical method (MFS‐DRM) to solve three‐dimensional isotropic thermoelastic problems with arbitrary body forces. In the DRM, the arbitrarily distributed temperature and body force are approximated by polyharmonic splines with augmented polynomial basis, whose particular solutions and the corresponding tractions are reviewed and given explicitly. The MFS is then applied to solve the complementary solution. Numerical experiments of Dirchlet, Robin, and peanut‐shaped‐domain problems are carried out to validate the method.

In literature, it is commented that the Gaussian elimination can be used reliably to solve the MFS equations for non‐noisy boundary conditions. For noisy boundary conditions, the truncated singular value decomposition (TSVD) is more accurate than the Gaussian elimination. In this paper, it was found that the particular solutions obtained by the DRM act like noises and the use of TSVD improves the accuracy.

It is the first time that the MFS‐DRM is derived to solve three‐dimensional isotropic thermoelastic problems with arbitrary body forces.

With technology advances, metallic implants claim to improve the quality and durability of human life. In the recent decade, Ti-6Al-4V biomaterial has been additively manufactured via selective laser melting (SLM) for orthopedic applications. This paper aims to provide state-of-the-art on mechanobiology of these fabricated components.

A literature review has been done to explore the potential of SLM fabricated Ti-6Al-4V porous lattice structures (LS) as bone substitutes. The emphasize was on the effect of process parameters and porosity on mechanical and biological properties. The papers published since 2007 were considered here. The keywords used to search were porous Ti-6Al-4V, additive manufacturing, metal three-dimensional printing, osseointegration, porous LS, SLM, in vitro and in vivo.

The properties of SLM porous biomaterials were compared with different human bones, and bulk SLM fabricated Ti-6Al-4V structures. The comparison was also made between LS with different unit cells to find out whether there is any particular design that can mimic the human bone functionality and enhance osseointegration.

The implant porosity plays a crucial role in mechanical and biological characteristics that relies on the optimum controlled process variables and design attributes. It was also indicated that although the mechanical strength (compressive and fatigue) of porous LS is not mostly close to natural cortical bone, elastic modulus can be adjusted to match that of cortical or cancellous bone. Porous Ti-6Al-4V provide favorable bone formation. However, the effect of design variables on biological behavior cannot be fully conclusive as few studies have been dedicated to this.

Teaching and learning are being transformed by digital technology, where the present generation of students, termed millennials, are more adept with the increasingly digitalised world we live in. Following this, lecturers and institutions are adapting and adopting a blended learning model across disciplines, which now commands an entire domain of research and application. However, questions remain about how ready students are for a blended learning model of instruction. The purpose of this study is to investigate students’ readiness for blended learning in a leading Malaysian private higher education institution.

This study used a non-experimental quantitative research design. Data were gathered from a sample of 274 pre-university and undergraduate students using the blended learning readiness engagement questionnaire. Data was analysed using WINSTEPS Rasch model measurement software to determine the validity and reliability of the instrument. Descriptive statistics (mean and standard deviation) scores, (logit) value of the item and (logit) value of a person was used to examine students’ readiness for a blended learning model of instruction and specifically assess their readiness based on gender, age, ethnicity and field of study.

Findings indicate that students were ready for blended learning. Further analysis indicated there were differences in students’ readiness for blended learning based on gender, age, ethnicity and field of study.

This study provides insight into students’ readiness towards blended learning in a leading Malaysian private higher education institution, discusses implications for blended learning practices and offers recommendations for future research.

The multi-quadrics (MQ) function is a kind of radial basis function. And the MQ method has been successfully adopted as a type of meshless method in solving electromagnetic boundary value problems. However, the accuracy of MQ interpolation or solving equations is severely influenced by shape parameter. Thus the purpose of this paper is to propose a case-independent shape parameter selection strategy from the aspect of coefficient matrix condition number analysis.

The condition number of coefficient matrix is investigated. It is shown that the condition number is only a function of shape parameter and MQ node number, and is irrelevant to the interpolated function which means case-independent. The effective condition number which takes into account the interpolated function is introduced. Then, the relation between the relative root mean square error and condition number is analyzed. Three numerical experiments as transmission line, cable channel and grounding metal box model were carried out.

In the numerical experiments, there is an approximate linear relationship between the logarithm of the condition number and shape parameter, an approximate quadratic relationship with node number. And the optimal shape parameter is corresponding to the early stage of condition number oscillation.

This paper proposed a case-independent shape parameter selection strategy. For a finite precision computation, the upper limit of the condition number is predetermined. Therefore, the shape parameter can be chosen where condition number oscillates in early stage.

The purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart library. A novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich knowledge and services conveniently.

First, local and global features of images are extracted, and the visual dictionary is generated by the k-means clustering. Second, the mobile visual search model based on the bag-of-words (BOW) and multiple semantic associations is constructed. Third, the mobile visual search service system of the smart library is designed in the cloud environment. Furthermore, Dunhuang mural images are collected to verify this model.

The findings reveal that the BOW_SIFT_HSV_MSA model has better search performance for Dunhuang mural images when the scale-invariant feature transform (SIFT) and the hue, saturation and value (HSV) are used to extract local and global features of the images. Compared with different methods, this model is the most effective way to search images with the semantic association in the topic, time and space dimensions.

Dunhuang mural image set is a part of the vast resources stored in the smart library, and the fine-grained semantic labels could be applied to meet diverse search needs.

The mobile visual search service system is constructed to provide users with Dunhuang cultural services in the smart library. A novel mobile visual search model based on BOW and multiple semantic associations is proposed. This study can also provide references for the protection and utilization of other cultural heritages.

Due to rapid technological evolution driven by display manufacturers, the television (TV) market of flat panel displays has been fast growing with the advancement of digital technologies in broadcasting service. Recently, organic light-emitting diode (OLED) successfully penetrated into the large-size TV market, catching up with light-emitting diode (LED)-liquid-crystal display (LCD). This paper aims to investigate the market penetration of OLED technologies by determining their technology adoption rates based on a diffusion model.

Through the rapid evolution of information and communication technology, as well as a flood of data from diverse sources such as research awards, journals, patents, business press, newspaper and Internet social media, data mining, text mining, tech mining and database tomography have become practical techniques for assisting the forecaster to identify early signs of technological change. The information extracted from a variety of sources can be used in a technology diffusion model, such as Fisher-Pry where emerging technologies supplant older ones. This paper uses a comparison-based prediction method to forecast the adoption and diffusion of next-generation OLED technologies by mining journal and patent databases.

In recent years, there has been a drastic reduction of patents related to LCD technologies, which suggests that next-generation OLED technology is penetrating the TV market. A strong industry adoption for OLED has been found. A high level of maturity is expected by 2026.

For OLED technologies that are closely tied to industrial applications such as electronic display devices, it may be better to use more industry-oriented data mining, such as patents, market data, trade shows, number of companies or startups, etc. The Fisher-Pry model does not address the level of sales for each technology. Therefore, the comparison between the Bass model and the Fisher-Pry model would be useful to investigate the market trends of OLED TVs further. Another step for forecasting could include using industry experts and a Delphi model for forecasting (and further validation).

Fisher-Pry growth curves for journal publications and patents follow the expected sequence. Specially, journal publications and patents growth curves are close for OLED technologies, indicating a strong industry adoption.