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This chapter develops a set of two-step identification methods for social interactions models with unknown networks, and discusses how the proposed methods are connected to the identification methods for models with known networks. The first step uses linear regression to identify the reduced forms. The second step decomposes the reduced forms to identify the primitive parameters. The proposed methods use panel data to identify networks. Two cases are considered: the sample exogenous vectors span Rn (long panels), and the sample exogenous vectors span a proper subspace of Rⁿ (short panels). For the short panel case, in order to solve the sample covariance matrices’ non-invertibility problem, this chapter proposes to represent the sample vectors with respect to a basis of a lower-dimensional space so that we have fewer regression coefficients in the first step. This allows us to identify some reduced form submatrices, which provide equations for identifying the primitive parameters.

The purpose of this paper is to illustrate the implementation of the flipped classroom method in teaching the course and to investigate the student’s perceived helpfulness, learning outcomes and satisfaction in respect of the pre-class learning videos.

Pre-class learning videos were integrated into a course to encourage students to acquire knowledge before lectures and workshops. Having completed the flipped classroom, a delivery questionnaire containing all items was distributed to all of the participants. The data collected were analysed statistically, using a structured equation modelling technique.

Findings indicate that the perceived quality of experience of using videos before lectures and workshops has a positive influence on the perceived helpfulness of the pre-class learning videos. Furthermore, the perceived helpfulness of the pre-class learning videos has a positive effect of the acquisition perceived learning outcomes. The perceived helpfulness of the pre-class learning videos also has a positive impact on the student satisfaction with the course. Finally, there is a positive and causal relationship between the perceived learning outcomes and student’s satisfaction with the course.

Analysis reveals that the learning process and student satisfaction are improved by using pre-class learning videos.

The purpose of this paper is to propose a scalable quantitative approach to evaluate alignment within and between courses and programs in higher education for benchmarking purpose.

The revised Bloom’s taxonomy, which combines a cognitive process dimension and a knowledge dimension, is used as a basis for categorizing national standards, program and course learning outcomes (CLOs) and assessment methods. Alignments between programs and national standards, programs and courses and assessment tasks and courses are then measured using a series of Cohen’s κ statistics. Two undergraduate business programs offered at an Australian university were used as examples to demonstrate the proposed method as an alignment evaluation tool.

The findings reveal that the two sample programs are better aligned with national standards than with their respective constituent courses. The degree of alignment between CLOs and assessment methods varies from course to course within the programs. This might be related to the lack of clarity of some learning outcome statements and the complexity of certain assessment methods.

This study lends insight into the use of an alignment mapping for benchmarking academic programs in higher education. To serve mainly as an illustration of the proposed approach, the case study is limited to two undergraduate business programs offered at the same university.

Universities can use the proposed approach to benchmark their academic programs against the national standards and similar programs offered by other competing educational institutions. The alignment indices can also serve as yardsticks to continuously improve the consistencies within and among academic programs to ensure quality.

The proposed method offers a consistent basis to compare the degrees of alignment of different higher education programs with national standards and their respective constituent courses, hence enabling benchmarking for continuous improvement. It also reveals how the alignment between different parameters in teaching and learning can be improved, thereby facilitating incremental learning and enhancing student performance.

The Li & Fung Group, a century-old, family-controlled multinational group of companies based in Hong Kong, seems to be an exception to the traditional perception of Chinese family business. The aim of this paper is to explore why this company can overcome the fatalism that “family business could not pass on over three generations”.

This paper will use in-depth case study as key methodology for exploring key research question of family business sustainability. Archival data, including company registration records, newspaper reports, biographical materials and company annual reports, etc., are major secondary data that will be used for qualitative analysis.

The important findings in this paper is that the authors can identify key ways for solving family conflict and business continuity. Through in-depth study, the authors argue that because Li & Fung can effectively adopt the “pruning the family tree” mechanism and “listing and de-listing” mechanism during critical stages of succession and development, it has flourished for over a century and is therefore a model for other Chinese family businesses to follow.

Because the authors did not conduct personal interviews with the family members of the company, the authors do not have “insiders’ view” on the company development. Also, it is a century-old company, and many historical data cannot be obtained, so some of the developments would not be fully explained and understood.

It can let family business owners, staffs working in family business and professionals serving family business know better that although there are negative sides of family business, their positive sides should not be underestimated. If a proper mechanism can be rightly executed, its negative side could be large reduced, whereas its positive side could be better enhanced.

This paper can offer insightful implication to the society that family business, in fact, is highly dynamic. It not only creates jobs by offering services and producing goods but stimulates economic development as family the fertile ground for breeding entrepreneurship.

There is no analysis in the academia in exploring the Li & Fung Group’s development from the perspective of leadership and ownership competition. So, the originality of this paper is very high.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

Most governments around the world rely heavily on tax revenue to fund not only their recurrent expenditure but also their long-term development goals. There is some evidence suggesting that tax evasion in Vietnam has, over the years, been on the rise in terms of number, scale and degree of sophistication. It may thus be beneficial to understand the extent to which various relevant psychological factors interact to influence the tax compliance of Vietnamese taxpayers. This chapter attempts to quantify the effects of taxpayer's emotion, trust and perception on their tax compliance in Vietnam. It adopts a positivist research framework, a quantitative research method and primary data collection. First, a simple, theoretical model in which emotion and trust affect tax compliance both directly and indirectly through perception as a mediating variable, is constructed. The Baron−Kenny method is then applied to the data collected from an e-survey to test various hypotheses derived from the devised theoretical model. The results show that taxpayer's perception positively and significantly influences tax compliance whereas emotion and trust exert significant and positive effects on tax compliance both directly and indirectly (via perception). The findings suggest that voluntary tax compliance in Vietnam can be improved through better tax administration services, more fiscal policy accountability and pro-active tax socialization.

Discusses various cultures around the world and examines some models of national culture particularly those of Hofstede and Schwartz. It reports some findings on cultural differences between the main ethnic groups in Malaysia (Malays, Chinese and Indian) using an instrument based in part on Schwartz's seven dimensions. Further, differences between managers and their subordinates are examined. Two conclusions are that there are few significant differences in cultural values between the three ethnic groups but there are highly significant differences between subordinates and their superiors, in the sample of 324 Malaysians investigated.

Calculation of the winding losses of high frequency transformer based on one‐dimensional field analysis is normally inapplicable for complex winding configurations. This paper presents a matrix modeling method which can produce a generalized mechanism to solve the AC winding losses. The transformer is modeled in a matrix connected filament. This is an alternative method to the finite element and is a filament approach. Experimental results and computation results using the proposed method are found to have good agreement.

Given the importance of online social network (OSN) media features, many studies have focused on how different types of OSNs with various media features influence users’ usage and engagement. However, a recent literature review indicates that few empirical studies have considered how different types of OSNs with different information accessibility levels influence users’ beliefs and self-disclosure. By comparing two OSN platforms (OSNs with high-level information accessibility vs OSNs with low-level information accessibility), the purpose of this paper is to address this opportunity by investigating the differential impacts of the two platforms on individuals’ psychological cognition – particularly users’ social exchange beliefs – and explaining how these beliefs translate into OSN self-disclosure.

This study used a factorial design approach in an experimental setting to examine how different levels of information accessibility (high vs low), influence the social exchange beliefs (i.e. perceived social capital bridging, perceived social capital bonding and perceived privacy risks) of OSN users and subsequently influence OSN self-disclosure.

The results show that users on OSNs with high-level information accessibility express significantly higher perceived social capital bridging and perceived privacy risks than users on OSNs with low-level information accessibility. However, users on OSNs with low-level information accessibility express higher social bonding beliefs than users on OSNs with high-level information accessibility, indicating that there are different effect mechanisms toward OSN self-disclosure.

The focus of this research helps unveil the complex relationships between OSN design features (e.g. information accessibility), psychological cognition (e.g. social capital bridging, social capital bonding and privacy risks) and OSN self-disclosure. First, it clarifies the relationship between information accessibility and self-disclosure by examining the mediating effect of three core social exchange beliefs. Second, it uncovers the distinct effects of high-level information-accessible OSNs and low-level information-accessible OSNs on OSN self-disclosure.