A New Framework Integrating Environmental Effects into Technology Evaluation

This study aims to propose a framework considering both economic issues and environmental effects in technology evaluation in order to provide firms’ decision makers a useful reference in adopting technologies that will enable them to fulfill corporate social responsibilities and get competitive advantages at the same time. Recently, the demands for technology evaluation have increased with the flourishing development of technology licensing, technology transaction or joint venture on the one hand and with the pressing needs of environmental protection for human beings’ sustainable development on the other hand. Under such conditions, it thus goes without saying that firms’ decision makers are propelled to take into account both economic benefits and environmental effects in evaluating technologies by choosing low or nonpolluting technologies for manufacturing products. Although technology evaluation is not a new and emerging subject currently besetting scholars in the field of management, previous research on this topic has unwittingly left behind the pressing issue of environmental effects. Based on this observation, this study purports to develop a new framework for technology evaluation by taking both economic benefits and environmental perspectives into consideration. In it, we seek to demonstrate that our proposed framework will not only be a workable model but also can serve as a useful point of reference for technology appraisers and firms’ decision makers.     

An empirical study of commercialization performance on nanoproducts

Along with the trend toward the convergence between nanotechnology and other disciplines, the commercial application and the diffusion of Nan products have drawn much attention. The successful commercialization of nanoproducts is based not only on R&D breakthroughs but also on the products' attributes and the consumers' needs. However, no research has yet been carried out to investigate the effect of performance and importance on nanoproducts. The aim of this study is to discuss and evaluate the commercialization performance of nanoproducts from consumer perspectives. The importance?performance analysis (IPA) approach was used to construct a series of nanoproducts' importance attribute and performance evaluation maps to identify areas for improvement. The empirical data were compiled in a structural consumer questionnaire-based survey from consumer perspectives across different nanoproducts. Respondents were required to identify nanoproducts' innovative characteristics and the performance differences of their attributes. Both innovation characteristics and product attribute dimensions as representing nanoproduct innovations were further weighted in terms of their perceived importance and their performance. As a consequence, the proposed approach in this study is to understand how to integrate consumers' perceived importance into performance, with particular concern on the identification of market opportunities into the commercialization of nanoproducts. In addition, this study enables nanotechnology firms to develop nanoproduct technologies and to strategically market them based on their attributes and performance, thus leading to the achievement of their commercialization and the creation of a successful long-term, performance-based competitive strategy.     

The effects of corporate governance on airline performance: Production and marketing efficiency perspectives

This study explores the relationship between operating performance and corporate governance in 30 airline companies operating in the US. First, this study applies a two-stage Data Envelopment Analysis (DEA) to evaluate the production efficiency and marketing efficiency of the airlines. Our findings indicate that, in general, there is not as much dispersion in the relative productive efficiencies of the airlines as there is in their marketing efficiencies. The low-cost airlines, on average, are more efficient carriers than the full-service ones, but less efficient marketers. Secondly, truncated regression is used to explore whether the characteristics of corporate governance affect airline performance. The results demonstrate that corporate governance influences firm performance significantly. Finally, we address the managerial decision-making matrix and make suggestions to help airline managers improve performance.     

When does investor sentiment predict stock returns?

We examine the asymmetry in the predictive power of investor sentiment in the cross-section of stock returns across economic expansion and recession states. We test the implication of behavioral theories and evidence that the return predictability of sentiment should be most pronounced in an expansion state when investors' optimism increases. We segregate economic states according to the NBER business cycles and further implement a multivariate Markov-switching model to capture the unobservable dynamics of the changes in the economic regime. The evidence suggests that only in the expansion state does sentiment perform both in-sample and out-of-sample predictive power for the returns of portfolio formed on size, book-to-market equity ratio, dividend yield, earnings-to-price ratio, age, return volatility, asset tangibility, growth opportunities, and 11 widely documented anomalies. In a recession state, however, the predictive power of sentiment is generally insignificant.     

An Intertemporal International Asset Pricing Model: Theory and Empirical Evidence

We extend Campbell's (1993) model to develop an intertemporal international asset pricing model (IAPM). We show that the expected international asset return is determined by a weighted average of market risk, market hedging risk, exchange rate risk and exchange rate hedging risk. These weights sum up to one. Our model explicitly separates hedging against changes in the investment opportunity set from hedging against exchange rate changes as well as exchange rate risk from intertemporal hedging risk. A test of the conditional version of our intertemporal IAPM using a multivariate GARCH process supports the asset pricing model. We find that the exchange rate risk is important for pricing international equity returns and it is much more important than intertemporal hedging risk.     

The influence of management perception of environmental variables on the choice of international transfer-pricing methods

In this paper, we provide an empirical study of the association between the management's perception of the importance of environmental variables and their choice of international transfer-pricing methods in the context of a developing economy. Given the sizable investment flowing to developing countries and the amount of economic exchange that occurs through foreign investment in these countries, we believe this is a significant issue. For this study, we collected the data from field interviews with the management of large foreign investment enterprises (FIEs) in China. These FIEs include mainly investors from the United States, Japan, and Europe. Our evidence indicates that the more important management perceives the interests of local partners and the maintenance of a good relationship with host government to be, the more likely that the FIE will use a market-based transfer-pricing method. On the other hand, the more important the management perceives foreign exchange controls in transfer-pricing decisions, the more likely the FIE will choose a cost-based method. Finally, there is a moderate agreement between U.S. and non-U.S. FIEs on the relative importance of the environmental variables.     

Entrepreneurs with glamour? DEA performance characterization of high-tech and older-established industries

The development of high-tech industries for competitiveness is an important issue for government policy-makers. Prior work by scholars concentrates disproportionately on the modern economies conventionally classified as high technology, and underestimates the importance of the older-established sectors that comprise the bulk of economic activity. This study examines the managerial performance efficiency of 367 manufacture firms in Taiwan utilizing the two-stage data envelopment analysis technique. The empirical results indicate that the scale of the firms does play an important role in influencing the operating efficiency. One can increase the firm's performance by consolidating with other smaller units to achieve the optimal size. By employing a profitability/marketability matrix, this study better characterizes the operating performance of the firms. The result of this study has a broader implication in that prior studies neglect these older-established sectors in terms of their current performance and future development. This finding in turn reflects a major distortion in views about the roles of research and development and technological upgrading in modern regional economies as a whole.     

Exchange rate exposure and the use of foreign currency derivatives in the Australian resources sector

In this paper, we provide a re-examination of the exchange rate exposure and foreign currency derivative use by Australian resources firms in the 2006–2009 period which is characterized by increased volatility caused by the global financial crisis. In particular, we consider the interaction of a resources firm's exchange rate risk exposures, foreign currency derivative use and the global financial crisis simultaneously. Conforming to expectations, our results indicate that more companies are significantly exposed to exchange rate risk since the onset of the financial crisis. However, there is a lack of evidence that the use of foreign currency derivative is more effective in alleviating exchange rate exposures during the crisis as opposed to the pre-crisis period.     

Testing the effects of congruity, travel constraints, and self-efficacy on travel intentions: An alternative decision-making model

Travel decision making has been extensively studied. Various models and theories have been proposed to explain tourist behavior. Taking a new approach, this study applied the Motivation-Opportunity-Ability (MOA) model to explain travel intentions. The MOA model suggests that motivation, opportunity, and ability are major factors influencing travel intentions. This study explored the role of self-congruity, functional congruity, perceived travel constraints, constraint negotiation, and self-efficacy on travel intentions.The proposed model and hypotheses were tested in the context of cruise tourism. An online panel survey was conducted with cruisers. Structural Equation Modeling (SEM) was used to test both the proposed model and hypothesized relationships among the constructs. All hypotheses except one were supported by the data. The proposed model also had an acceptable fit to the data.