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The purpose of this paper is to examine the relationship between patients’ provider communication effectiveness and courteousness with patients’ satisfaction and trust at free clinics.

This cross-sectional survey (n=507), based on the Consumer Assessment of Healthcare Providers and Systems instrument, was conducted in two Southeastern US free clinics. Latent class analysis (LCA) was used to identify patient subgroups (clusters) with similar but not immediately visible characteristics.

Across the items assessing provider communication effectiveness and courteousness, five distinct clusters based on patient satisfaction, trust and socio-demographics were identified. In clusters where communication and courteousness ratings were consistent, trust and satisfaction ratings were aligned with these domains, e.g., 54 percent rated communication and courteousness highly, which was associated with high patient satisfaction and trust. When communication effectiveness and courteousness ratings diverged (e.g., low communication effectiveness but high courteousness), patient trust and satisfaction ratings aligned with communication effectiveness ratings. In all clusters, the association was greater for communication effectiveness than for provider courteousness. Thus, provider courteousness was important but secondary to communication effectiveness.

Investment in patient-centered communication training for providers will improve patient satisfaction and trust.

The study is the first to examine individual provider communication components and how they relate to patient satisfaction and trust in free clinics. LCA helped to more fully examine communication constructs, which may be beneficial for more nuanced quality improvement efforts.

The aim of this study is to examine patient satisfaction with non‐physician staff as related to patient demographics, satisfaction with physician, and intentions to recommend their physicians to others.

A survey was conducted at two internal medicine primary care clinics affiliated with a major university health system. A latent class analysis was used to detect patient subpopulations based on profiles of response for five satisfaction‐with‐staff indicators.

The response rate was 86.46 percent (479 of 554). Analyses revealed four patient subpopulation segments. Segment I (n=241) patients uniformly indicated a high level of satisfaction across the five satisfaction‐with‐staff indicators. These patients tended to be older and less educated, and have lower incomes relative to patients in other segments. Patients in Segment II (n=83) expressed satisfaction with staff caring and need accommodation, but dissatisfaction with access to their physicians. Patients in Segment III (n=51) indicated high levels of satisfaction with access and low levels of satisfaction with staff caring and need accommodation. Segment IV (n=104) patients uniformly expressed low levels of satisfaction across all indicators and generally were younger and more educated, as well as had higher incomes than other patients.

Patients have different expectations from their non‐physician staff, e.g. younger, more affluent, and educated patients expressed dissatisfaction with staff. This suggests that non‐physician staff should provide extra/further responsiveness to have these patients' needs met. Generally, approaches that are differentially targeted to specific patient subgroups are likely to be more efficient and patient‐oriented than undifferentiated approaches.

This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.

Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.

This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.

The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.

To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.

The purpose of this paper is to offer an overview of the existing English literature concerning the development of China's hotel industry by means of reviewing the topic from three academic online databases.

The paper reviews published studies found in refereed journals that can be accessed online via Emerald Management Review, ProQuest Basic Search and EBSCO Host Web. A total of 66 refereed journal papers were found over the period 1984‐2007. They were grouped into four major themes: strategy and development; marketing; service quality and human resources management.

Research on China's hotel development grew rapidly with the rise of China's hotel industry, reflecting the situation, problems, challenges and opportunities affecting hotel development. Strategy and development is a dominant theme, accounting for 43 per cent of all papers.

The paper summarises research on China's booming hotel industry, offers a general review of its historic development and identifies current important issues. The authors recommend further research opportunities examining career development and job satisfaction in China's hotel industry.

This paper is one of the first to profile research related to the hotel industry in mainland China. By grouping the published studies into four major themes, this study clearly demonstrates key emerging issues in China.

This study aims to investigate the coupling reaction of epoxide and CO₂ catalysed by alkali metal salts in the presence of ß-cyclodextrin (ß-CD) derivatives to generate cyclic carbonates at various conditions.

The coupling reaction was catalysed by alkali metal salts. The effects of the co-catalysts were investigated by using the conversion rate of raw materials. The affecting factors, such as reaction temperature, amount of the co-catalyst and reaction time, were explored. The possible mechanism of the coupling reaction was discussed.

Results showed that the structure of ß-CD is an important factor influencing the catalytic activity for the coupling reaction of epoxide with CO₂. The catalytic system of 2,3,6-trimethyl-ß-CD with potassium iodide (KI) showed a high catalytic activity. The protocol was expanded to various epoxides, which provided the corresponding cyclic carbonates in excellent yields. The apparent decrease in the yields was not detected after four recycling times. Moreover, the mechanism for the synergetic effect of the catalyst was proposed.

The coupling reactions were achieved in the presence of different structure of ß-CD as co-catalysts. The affecting of substituent of ß-CD were investigated.

This study aims to propose an unsupervised learning model to evaluate the credibility of disaster-related Twitter data and present a performance comparison with commonly used supervised machine learning models.

First historical tweets on two recent hurricane events are collected via Twitter API. Then a credibility scoring system is implemented in which the tweet features are analyzed to give a credibility score and credibility label to the tweet. After that, supervised machine learning classification is implemented using various classification algorithms and their performances are compared.

The proposed unsupervised learning model could enhance the emergency response by providing a fast way to determine the credibility of disaster-related tweets. Additionally, the comparison of the supervised classification models reveals that the Random Forest classifier performs significantly better than the SVM and Logistic Regression classifiers in classifying the credibility of disaster-related tweets.

In this paper, an unsupervised 10-point scoring model is proposed to evaluate the tweets’ credibility based on the user-based and content-based features. This technique could be used to evaluate the credibility of disaster-related tweets on future hurricanes and would have the potential to enhance emergency response during critical events. The comparative study of different supervised learning methods has revealed effective supervised learning methods for evaluating the credibility of Tweeter data.

This study aims to examine the effect of several types of ex post idiosyncratic deals (i-deals) on work–life balance and work well-being, focusing on the mediating effect of work–life balance on the relationship between ex post i-deals and work well-being as well as the moderating effect of gender on the relationship between ex post i-deals and work–life balance in the hospitality industry.

This study uses a questionnaire survey of 642 hotel managers from developed cities in China and analyze the data with structural equation modeling. This study also conducts on-site interviews among 20 hotel managers to support conclusions of the survey.

The results indicate that task i-deals as well as career and incentives i-deals significantly promote work–life balance, thereby indirectly improving work well-being. However, the impact of flexibility i-deals on work–life balance and work well-being is insignificant. The influence of career and incentives i-deals on work–life balance for males is slightly stronger than that for females.

This study has practical implications for hotel employers in terms of using various ex post i-deals to motivate and retain hotel managers by improving personal work–life balance and work well-being.

As one of early attempts to highlight the potential of i-deals to serve as solutions for work–life conflicts and unhappiness issues among hotel managers, this study provides novel insights into the mediating process between ex post i-deals and work well-being from the work–life balance perspective as well as distinct influences of various ex post i-deals on work–life balance for male and female managers.

Massive increases in international trade and investment extend industries beyond national borders, so states and enterprises have become the two critical players in the boundary of industries. The purpose of this paper is to provide a new conceptual framework to analyze the role of states and enterprises in enhancing the industrial international competitiveness (IIC).

Being a research‐based paper, the topic is approached by theoretical analysis and conceptual development. The paper reviews IIC literature and argues for a rational study ICC in the context of global value chain. Next, the paper puts forward a two‐dimensional governance model and five typical governance systems of the industries of developing countries. Examples of typical governance system are given based the practice of Chinese industries, such as appeal, rare earths, automotive, etc.

This paper constructs an industrial two‐dimensional governance model of the developing countries in the context of global value chain based on the interaction between industry governance and market governance, and also presents five typical governance systems – free to market, public governance, industrial governance, joint governance and network governance. Different governance system reflects different roles of states and enterprises played in the global value chains and result in different IIC in the end.

The limitation is based primarily on methodology. The two‐dimensional governance model provides target‐oriented guidance for foresting international competitiveness of different types of industries. Future studies should include more in‐depth case studies on different governance system.

The paper presents a framework of the industrial two‐dimensional governance model, which emphasizes the important role of both states and enterprise in the IIC in the context of global value chain.

After decades of focus on disaster, crisis, and trauma itself, in recent years more attention has been devoted to the study of human strengths and resilience, as reflected in the rise of positive psychology and strengths-based social work. In particular, psychological growth after trauma has been increasingly studied, and one of the official terms referring to the phenomenon is posttraumatic growth (PTG). The PTG literature reflects work on positive psychology, trauma recovery, and resilience. The main components associated with PTG are new possibilities, interpersonal growth, personal growth, appreciation for life, and spiritual change (Calhoun & Tedeschi, 2014). These domains have been tested and measured with a scale, the Posttraumatic Growth Inventory. While PTG and related concepts such as resilience have been studied in various populations, they have not yet been investigated extensively in Southeast Asia (SEA) populations. This chapter explores the psychological examination of resilience and PTG in the SEA context, with some discussion of the background of both positive psychological concepts and PTG research cross-culturally, and their application to the SEA region specifically. Brief relevant trauma history of the region, such as human-made and natural hazards impacting the region’s individuals and communities, and similarities and differences in the results of these traumas will be described. Implications for broader international work as well as cultural and clinical implications also will be discussed in this chapter.

The purpose of this paper is to investigate whether regulatory restriction on executive compensation in Chinese state-owned enterprises is beneficial to firm performance. The authors also examine the role of monitoring mechanisms in offsetting the effect of compensation restriction.

Multivariate analysis is conducted using archival data from Chinese listed companies over the period of 2007-2014.

The findings show that the restriction on executive compensation is negatively associated with a firm’s accounting performance, and this negative effect is ameliorated in firms with good internal control and a high level of institutional shareholding. Additional analysis reveals that the negative effect of pay restriction on firm performance is more pronounced in central government-controlled listed SOEs than in those controlled by local government.

This study is the first to investigate a government’s say-on-pay policy. Specifically, the findings pinpoint the inefficacy of regulatory intervention in corporate executive compensation. The findings add to compensation literature using China’s unique institutional setting.