Native American casino marketing on the web

The Internet and its component, the World Wide Web (WWW or Web), as well as the casino industry grew tremendously in the United States in the past decade. While there are various estimates about the future size of the Internet and the casino market, all agree that the two will continue to grow substantially. However, very few studies have discussed Internet use within the casino industry. This study reviewed 58 Class III Native American casino web sites. Content areas analyzed included introduction to the casino organization, local destination attractions, food and beverage services, accommodations, entertainment and recreation facilities, maps and directions to casinos, links to related commercial and regulatory agency web sites, and user friendliness. Web site features were evaluated based on marketing mix and principles.     

The Image of Taiwan as a Travel Destination: Perspectives from Mainland China

This study presents the perceived and projected image of Taiwan as a travel destination from perspectives from Mainland China. The perceived image of Taiwan was examined by interviewing 28 Mainland Chinese; the projected image of Taiwan was investigated by analyzing articles in China's most popular travel magazines. The different types of images of Taiwan among visitors, nonvisitors, and travel magazines were compared. The projected image changed notably after the opening of Taiwan's tourism to travelers from Mainland China. The results of this study could help destination marketing organizations to assess their marketing strategies for the Mainland Chinese travel market.     

A review and comparison of medical expenditures models: two neural networks versus two‐part models

This paper compares the two‐part model (TPM) that distinguishes between users and non‐users of health care, with two neural networks (TNN) that distinguish users by frequency. In the model comparisons using data from the National Health Research Institute (NHRI) in Taiwan, we find strong evidence in favor of the neural networks approach. This paper shows that the individuals in the self‐organizing map (SOM) network clusters can be described as several different forms of frequency distributions. The integration model of SOM and back propagation network (BPN) proposed by this paper not only permits policymakers to easily include more risk adjusters besides the demographics in the traditional capitation formula through the adaptation and calculation power of neural networks, but also reduces the incentives for cream skimming by decreasing estimation biases.     

Fair value disclosures and crash risk

In response to the public criticism of the inadequate disclosures mandated by SFAS No. 157, Fair Value Measurements, the FASB issued ASU (Accounting Standards Update) 2010–06, Improving Disclosures about Fair Value Measurements, and ASU 2011–04, Amendments to Achieve Common Fair Value Measurement and Disclosure Requirements, in an effort to increase the reporting transparency. We examine whether the increased fair value disclosures required by these two updates effectively decrease crash risk, defined as the frequency of extreme negative stock returns. In support of the hypothesis, we find that increased transparency from these updates reduces crash risk among U.S. banking firms and that the reduction is greater in banks that have a higher level of Level 3 financial assets.     

Is income converging in China?

This study adopts a flexible Fourier unit‐root test proposed by Enders and Lee (2012) to revisit the tendency towards convergence in real per capita income among provinces after economic reform in China. When a data‐generating process is non‐linear, a Fourier series not only allows for the possibility of an unknown number of structural breaks with unknown forms but also allows for the use of a low‐frequency component to capture multiple changes. Contrary to what the linear statistics suggest, our results from a flexible unit‐root test indicate that China's eastern and western regions are converging to their own specific steady states.     

Exploring the impact of trust and relational embeddedness in e-marketplaces: An empirical study in Taiwan

B2B transaction is a rapid growth section within e-commerce. However, despite the increase in the number of B2B transactions, only a few e-marketplaces have successfully attracted a large number of buyers and sellers. The purpose of this study is to investigate the underpinning forces that influence the organizational decision to adopt e-marketplaces and to improve competitiveness through continuous participation in e-marketplaces. This study applies the technology acceptance model, relational embeddedness, and the trust theory to explore the impact of perceived ease of use, perceived usefulness, and relational embeddedness on trust associated with e-marketplace providers. This study further tests the impact of relational embeddedness and trust on relationship performance in the context of e-marketplaces. Based on 284 active buyers and sellers in well-known public e-marketplaces, the empirical findings suggest that perceived ease of use positively influences perceived usefulness of e-marketplaces; perceived ease of use influences user trust of e-marketplaces via perceived usefulness; and relational embeddedness leads to enhanced trust in e-marketplace providers, which subsequently leads to better relationship performance. Both relational embeddedness and trust also influence relationship performance directly. This research reveals the importance of perceived usefulness and relational embeddedness on trust associated with e-marketplace providers.     

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

The service industry plays an essential role in economic globalization and a determining factor in strengthening industry’s competitiveness. Targeting fitness industry, this study intends to explore ways to minimize customer complaints, understand customer expectation, and enhance service quality by applying the five steps of 6-Sigma: (1) Definition; (2) Measurement; (3) Analysis; (4) Improvement; and (5) Control, to effectively solve the root causes of customer complaints, raise customer satisfaction and minimize possible future complaints.     

The moderating role of institutional networking in the customer orientation–trust/commitment–performance causal chain in China

This study uncovers the ignored role of institutional environment for marketing strategy and customer relationship management. Hypothesis tests in a sample of Chinese firms find support that channel networking strengthens the customer orientation–customer trust/commitment–firm performance (CTP) causal chain. In addition, the results show that government networking moderates this chain in a non-linear fashion. The CTP linkages are most salient when the firm develops a moderate level, rather than a high or low level of networking ties with government agencies.

Using Social Cognitive Theory to Investigate Green Consumer Behavior

Green consumer behavior can induce industries to develop green production methods and convert wasteful patterns of consumption into green consumption patterns. This study demonstrates that the practice of green consumption relies on the self‐sanction concept in individuals. The objective of this study was to develop a research model of green consumer behavior based on social cognitive theory. The results show that personal self‐concepts (the most significant of which is green consumption self‐efficacy), personal outcome expectation and social sanction all have a significant influence. On the other hand, the influences of the expected outcome of green consumer behavior, climate change and the mass media were not significant. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment.     

Direct and indirect effects of continuous treatments based on generalized propensity score weighting

This paper proposes semi- and nonparametric methods for disentangling the total causal effect of a continuous treatment on an outcome variable into its natural direct effect and the indirect effect that operates through one or several intermediate variables called mediators jointly. Our approach is based on weighting observations by the inverse of two versions of the generalized propensity score (GPS), namely the conditional density of treatment either given observed covariates or given covariates and the mediator. Our effect estimators are shown to be asymptotically normal when the GPS is estimated by either a parametric or a nonparametric kernel-based method. We also provide a simulation study and an empirical illustration based on the Job Corps experimental study.