On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

Ownership concentration and bank risk: international study on acquisitions

This paper explores the effects of different types of bank ownership concentration on changes in bank risk during acquisition years. Using multi-country data from 2000 to 2006, during which market failures caused by various crises and government interventions are less influential to acquisition decisions, we collect 505 banking acquisition deals from 23 countries to examine which type of ownership concentration (such as financial intermediary, capital investor, non-financial, and state ownership) brings larger changes to an acquirer’s risk from pre-acquisition year to post-acquisition year (including non-performing loans, capital adequacy ratio, loan loss reserve, and credit rating). The empirical analyses show that acquirer banks with a concentration of shares owned by financial intermediaries and non-financial firms experience larger risk changes during acquisition years. In contrast, the risk changes of acquirer banks with a concentration of capital investors and state ownership are lower. Robustness checks from the random effect estimation, instrumental variables model, reverse causality, and different subsamples of (non-)U.S. or different levels of regulation enforcement confirm these results.     

Process innovation capability and subsequent collaborative team performance in travel planning: a knowledge exchange platform perspective

Purpose: Backpacker tourism is flourishing in this century as the high development of Internet technology which enables travellers to search for resources they need easier. The research goal of this study was to exam how virtual skill and collective efficacy affect process innovation capability and subsequent team performance of collaborative design team in a virtual community. Design/methodology/approach: In this study, we formulated the virtual team model from the perspectives of open innovation paradigm and virtual competence, and we collected virtual community participation samples from the online communities. Invitation emails were delivered to numerous trip plan initiators in two well-known online travel communities for filling survey questionnaires for this study. In total, 3000 invitation messages were mailed, of which 373 were returned completed. The model and hypotheses were tested by structural equation modelling. Findings: Virtual competence, including collective efficacy and virtual media skill, is the essential key to facilitate process innovation capability and subsequent team performance success. Besides, knowledge sharing significantly moderates the relationship between process innovation capability and the team performance. Originality/value: Backpackers in the online travel communities have to have not only the willingness to collaborate, but also the abilities of using the correct tool to help with their tasks. When a self-efficacy gets into collective efficacy, it enables the collaborative team to develop with good virtual competencies. Accordingly, trip plan initiator and participants of a virtual team are as expertise contributors between conformity in online communities and online compulsive control tendencies.     

ERM crisis in retrospect: What if a European central bank had been in existence before 1992?

This paper explores whether policy coordination or a single monetary policy implemented earlier would have kept the U.K. in the process of European monetary integration. On the basis of the pre-ERM crisis empirics by Douven and Plasmans (1996), a counterfactual game simulation approach is used, and five scenarios are established for comparison with the actual historical records. The final answer is negative.     

The causality examination between demand uncertainty and hotel failure: A case study of international tourist hotels in Taiwan

The hotel business is highly sensitive to economic cycles, as the industry faces high frequency and high fluctuation of uncertainty over the demand for lodging services. Without a thorough consideration on the issue, hotels may undergo a business crisis. This research therefore investigates the influence of demand uncertainty on hotel failure by using the operation data of international tourist hotels in Taiwan during 1995–2008. The analysis applies two stages of estimation. The first stage employs a first-order autoregressive model, AR(1), to model lodging demand uncertainty. The second stage estimates the likelihood of hotels’ failure by using a logit model. The results are supportive to determine that the demand uncertainty causes hotel failures.     

Cultural Consonance in Leisure,Leisure Satisfaction,Life Satisfaction,and Self-Rated Health in Urban Taiwan

The purpose of this study threefold: to determine whether a shared cultural model of the importance of a set of leisure activities to a good leisure life existed in urban Taiwan, the degree to which cultural consonance in leisure mediates the relationship between leisure constraints and leisure satisfaction, and the degree to which leisure satisfaction affects life satisfaction and self-rated health. Results indicate that a cultural model of the importance of leisure activities to a good leisure life existed among sample members. Second, higher levels of self-reported participation in leisure activities that are culturally agreed upon as more important for a good leisure life are more strongly associated with leisure satisfaction than are activities culturally agreed upon as less important. Finally, leisure satisfaction strongly predicts both life satisfaction and self-rated health.     

Renminbi Internationalization： Progress, Prospect and Comparison

Using principal component analyses, this paper constructs two internationalization indices for the renminbi (RMB) and 32 other major currencies. We find that the RMB's currency internationalization degree index (CIDI) is still low, and far behind the 4 most important international currencies. In 2009, it was ranked 18th among all important international currencies. However, in terms of the currency internationalization prospect index (CIPI), the RMB has remained the world's fifth highest since 2006. Although it is still far behind the US dollar and the euro, surpassing the ranking of the yen and the pound is possible in the near future. The dramatic difference in the ranking between the CIDI and the CIPI is a result of China's tight capital account control, the usage continuity of international currency due to network externalities, and the narrow foreign exchange and imperfect financial markets. Hence, to a large degree, the RMB's potential as an international currency depends on China's capital account liberalization.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

Growth and value hybrid valuation model based on mean reversion

This article proposes a novel valuation model, growth and value hybrid model, to estimate the stock price. This proposed model combines the essence of the asset-based approach, the income-based approach, and the principle of mean reversion to develop the theoretical closed-form formula consisting of three coefficients: value coefficient, value support coefficient and growth coefficient. Regression analysis is employed to fit market data to determine these coefficients. Moreover, this study proposes the double sorting method to build the quantile regression models of the formula to estimate the stock price at a specific quantile. The results show that the predictive capability of the hybrid valuation model is superior to the model without using value support coefficient, which supports the assumption that the PBR is not associated with the ROE when the ROE is less than a threshold. In different time periods of the stock market, no significant difference exists on the value support coefficient. However, the variations of the value coefficient and the growth coefficient are significant.     

Modeling religious involvement: a qualitative integration based on female role visualization consumption

The application of religious symbolism is important in the evolution of medical consumption. Chinese religious belief integrates concepts of Buddhism, Daoism, and Confucianism. People personify god and goddess’ characters in religious stories which influence our ideal personality in reality. According to the Match-up Hypothesis in medical product advertising, female role portrayal in patriarchal society involves the blending of beautification ritual, utilizing the marketed product, with idealized female beauty into a package intended to provide the best possible match with the prevailing ideal. Due to the influence of traditional sex stereotypes in eastern or western societies, such female portrayals provide culturally reasonable advertisements of the value of products being displayed for visualization consumption. This ideology is part of the moral fabric of society and reveals a possible social collective consciousness. The authors adopt five dimensions of religious involvement (DRI—Ideology, Ritualistic, Experiential, Consequential, and Intellectual) to explain a process of portrayals visualization and discuss the template image orientation for presenting product information in the marketplace. This study proposes the female role visualization consumption (FRVC) model to identify different elements of female role evolution stemming from religious ideology.