Research in technology education: looking back to move forward … again

In 2013 I published, in this Journal, a review of journals and conference publications in Technology Education from 2006 to 2010 as one measure of the nature of research that was being conducted in the area (Williams in Int J Technol Des Educ 23(1):1–9, 2013). An element of that review was a prediction of trends, from the findings, to speculate about what research areas may develop and become more significant and more common in the future. This prediction was integrated with personal experiences and understandings to result in a speculative discussion of future trends. This Research Note represents an extended review, both in terms of the journals and conferences covered, and the time period to include 2011–2013, in order to evaluate those predictions and refine possible future trends, and to answer the research question: What are the developments and trends in Technology Education research? It is hoped that this will be useful to researchers in the area of Technology Education who are planning research, and to stimulate discussion about the research that is needed in this area.     

The first decade of the Asia Academy of Management

This paper briefly reviews the history of the Asia Academy of Management, the official sponsor of the Asia Pacific Journal of Management. It is suggested that establishing the Asia Academy of Management is a response to the new challenges of the academic institutional environment, both in Asia and in the mainstream management research community. Judging from the achievements in terms of reputation in the region, publication citations, school rankings, and internal organizational development, this new venture has added significant value to the global academic community. The challenges facing the Asia Academy, however, include the need to attract more interested parties to actively involve in its activities, more genuine cooperation among Asian and non-Asian institutions, and a need to affirm the contributions of Asian management studies.

How does local partners network embeddedness affect international joint venture survival in different subnational contexts?

Do local partners' network attributes affect the survival of high-tech international joint ventures (IJV)? How does the effect of network attributes vary in different subnational institutional environments? While the classic economic explanation for IJV formation and subsequent performance draws from the resource-based view (RBV), we add the relational dimension to explain that IJV survival may be affected by local partners’ relation-specific assets within the local network. We test the effect of the local partners’ network attributes as calculated by UCINET (centrality, network status, and structural hole position) on IJV survival. We additionally assert that this relationship is moderated by subnational institutional heterogeneity. Using our sample of 125 IJV dyadic pairs of US multinational enterprises (MNEs) operating in high-tech industries and their local partners in China, we find partial support for our claims.     

The relationships among corporate social responsibility,corporate image and economic performance of high-tech industries in Taiwan

The economic development of high-tech industries in Taiwan focuses on IC design, opt electrics, semiconductors, computer science and telecommunication. It is necessary for business to understand the relations and significance of the economic performance to take the responsibility and keep a positive corporate image, thus they can earn more admiration and trust from customers. How do they take the social responsibility to improve their corporate image and create the economic performance, and finally reach the top one of the whole world? This study discusses the subject concerning the continuing development of business and relevant issues stated above. We found that 68.1% of high-tech industries in Taiwan are in accordance with business ethics and norms of conduct. Businesses take their responsibility practically by participating in public welfare activities. The more responsibilities they fulfill; the better image they have. High-tech industries should target the social responsibility as their first goal and secondly improve their corporate image to increase the economic performance.     

Insider Ownership,Risk, and Leverage in REITs

We investigate the relative importance of managerial entrenchment and incentive alignment as indicated by REIT risk-taking. The two theories make contradictory predictions about the sign of the relation between insider ownership and risk. We test for the possibility of diminishing entrenchment returns to insider ownership. Empirical results for equity and asset betas soundly reject linear models in favor of nonmonotonic relations with reversals at insider ownership of 36%. Up to that point, increasingly entrenched insiders mitigate their own risk aversion. Above 36%, incentive alignment emerges as managers become more substantial owners. Leverage declines at an accelerating rate above 20% insider ownership. Together these results suggest a shift in the composition of risk, from leverage risk to asset risk, reflecting comparative advantage and a crossover in the relative monitoring costs of debt and equity. Problematically for linear models, the coefficient of insider ownership is not significant for most risk measures, producing the misleading appearance of no relation between insider ownership and risk. Institutional ownership is significantly negatively related to leverage. Thus incentives are aligned between insiders and institutional owners at insider ownership above 20%.     

Influence analysis for Poisson inverse Gaussian regression models based on the EM algorithm

For Poisson inverse Gaussian regression models, it is very complicated to obtain the influence measures based on the traditional method, because the associated likelihood function involves intractable expressions, such as the modified Bessel function. In this paper, the EM algorithm is employed as a basis to derive diagnostic measures for the models by treating them as a mixed Poisson regression with the weights from the inverse Gaussian distributions. Several diagnostic measures are obtained in both case-deletion model and local influence analysis, based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. Two numerical examples are given to illustrate the results.