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The purpose of the present study is to understand the diversity management concept in Taiwan setting by providing a closer look into local companies’ practices. Rational and focus for this research exploration is based on three areas related to diversity management in organizations: external and internal pressures for diversity in Taiwanese companies; companies’ approaches and senior leadership attitude toward diversity; companies’ diversity management practices.

The authors have collected secondary and primary data, including 15 interviews with management, at three large Taiwan semiconductor companies and build a case study of diversity management in Taiwan.

Taiwan companies’ diversity management is motivated mainly by business case and social responsibility goals. They experience a need for diversity management and proactively introduce diversity management policies.

Further studies should look into diversity management practices of smaller private/family-owned companies in Taiwan to get a deeper understanding of the concept in the country using quantitative and qualitative approaches.

Taiwan is historically culturally homogeneous society, which undergoes massive demographic changes under the influence of low birth rate and high rate of immigration. Taiwan situation creates specific economic, cultural, and political context for diversity management that differs from other Asian, European or Western societies.

The goal of this chapter is to respond to the theoretical inquiries by scholars who are interested in how the public–private partnership (PPP) models adapt to China’s context where political power dictates economic strategies. We also want to provide suggestions to policy designers who aim to promote a sustainable investment environment for domestic and international investors. We review the literature that explains the upside and downside of PPP projects in contemporary China. (1) We classify the trajectory of PPP evolution into four phases, i.e., emergence, growth, recession and revival. (2) We note that private companies take a disadvantageous position in the partnership compared with governments and state-owned enterprises because of a lack of specialized legislation, unequal competition between private companies and state-owned enterprises and the opposition from the civic society. (3) We identify political risks as the most influential risks. Political risks also lead to the misallocation of other risks between public and private parties that contributes to the high failure rate of China’s PPP projects. Based on these findings, we recommend governments to draft specialized legislation, stabilize the political environment and provide favourable subsidies to local governments to limit the risks involved in PPP projects. We also advise private enterprises and state-owned enterprises to focus on negotiating over task and risk division with governments when they make decisions to participate in PPP projects. This full review of studies on PPP development in China provides reliable recommendations to scholars, governments and enterprises.

The purpose of this paper is to predict tie strength using profile similarities and interaction data between users, and thus distinguish between strong and weak relationships on social network sites (SNSs).

This study developed a program and an online questionnaire to collect the data set from Facebook, and then integrated that data set with a subjective data set consisting of participants’ opinions of the strength of their friendships on Facebook. The model developed here for predicting tie strength performed well when was applied on a data set of 6,477 SNSs’ ties, distinguishing between strong and weak ties with over 50 percent accuracy.

The results developed an algorithm (predictive model) that quantifies and measures tie strength continuously to bridge the gap between theory and practice. The results found that the variables in the dimension of emotional intensity had stronger effects than other interaction variables.

This study developed a predictive model that helps explain the meaning of interaction on SNSs, providing an efficient method to examine tie strength on SNSs. The tie strength estimates can also be used to improve the range and performance of various aspects of SNSs, including link predictions, product recommendations, newsfeeds, people searches, and visualization. Such understanding of the structure of SNSs might lead ultimately to the design of algorithms that can detect trusted or influential users of SNSs.

This paper concentrates on the visual information within a product description block in an online auction page, which is the only place a seller can manipulate to influence bidders. The purpose of this paper is to examine the effects of photograph use, model use, and the physical attractiveness of the model on bidding behavior.

A mock online auction website was built to manipulate picture use, model use, and the physical attractiveness of the model. The experiment recruited volunteers and randomly assigned each participant into one of four treatments. After experiencing the stimulus for two minutes, the researchers asked participants to evaluate their bidding intention and write down the highest price they would bid.

The results show that using a photograph to introduce the product acquires a higher bidding intention and bidding amount than not using a photograph. In addition, a web page using physically attractive models in photographs acquires a higher bidding intention and bidding price than a web page using physically unattractive models in photographs.

This study is unique in discussing the effect of the visual content of the product description block on online bidding behavior. The results of this study provide suggestions and a product information presentation strategy for online auction sellers.

Facing a high birth rate, a falling mortality rate, and inconsistent policies on family planning from the 1950s to the early 1970s, the People's Republic of China (PRC) launched its widely known one‐child policy in 1979. The intention was to restrict population growth by reducing fertility through family planning and thereby to conserve the nation's resources to advance economic development. The effectiveness of the one‐child policy has varied greatly because policy regulations are differentially carried out by officials of provinces, municipalities, counties, communes, and minority regions. Generally speaking, the state policy has had greater acceptance in urban areas but is far less rigidly enforced by local officials in rural areas and for certain national minorities, which can have a second child under certain circumstances (Chow and Chen, 1994).

The purpose of this paper is as follows: to measure the levels of customer satisfaction, to analyze the gap of values between expectations and perceptions of customers for quality of services and to analyze the factors which should be priority of services in reducing the levels of customer satisfaction at branch office of Bank Muamalat Indonesia (BMI).

The study uses to quantitative and qualitative approach to analyze challenges and problems of quality in banking services at BMI based on Islamic perspective.X

Overall results show that the levels of customer satisfaction are satisfied. The main items of deduction for customers’ satisfaction are services of access, services of price, interruption of services, sophistication of technology and variety of products. In general findings, Sharia compliance becomes a critical point of services in Islamic banks. The study is only investigation at one Branch of BMI in Depok.

The implication of this study is a basic knowledge for more details of research with more samples of banks regarding with the quality of banking services. Evaluation of the level of customer satisfaction is very important for BMI to improve services and to develop IT services as well as to certified the ISO (International Standard Organization) and to be built Sharia assurance system.

The result of this can be used to make a rank of service satisfaction for all Islamic banks in Indonesia.

This study is to apply combination of CARTER and quality of banking service methods for a Islamic bank. In addition, this study includes Sharia Compliance or Islamic law compliance as a basis for Islamic Contract in operating products of Islamic bank.

This study uses the travel industry as the research context and investigates online–offline integration between the different business entities of hoteliers and online travel agencies (OTAs). The purpose of this paper is threefold: first, to examine cooperation between hotels and OTAs; second, to examine how online and offline satisfaction increase behavioral intentions toward online and offline channels; and third, to investigate the factors that increase online and offline satisfaction.

To investigate customers’ behavioral intentions toward online and offline channels, the authors collected 241 data points from ten hotels from four well-known chains. The partial least squares structural equation modeling approach was used to test the research model and the 13 hypotheses.

The results show that system quality, information quality and service quality of OTA websites increase online satisfaction. Online satisfaction further increases behavioral intentions toward online channels but has no significant effect on offline satisfaction and behavioral intentions toward offline channels. Emotional value and social value offered by hotels increase offline satisfaction. Offline satisfaction further increases behavioral intentions toward online and offline channels. Finally, behavioral intentions toward online channels indeed reinforce behavioral intentions toward offline channels.

Some prior studies have focused on the effects of offline channels on online channels, whereas others have examined the influences of online channels on offline channels. However, in previous studies, the online and offline channels were both owned by the same business entities. To the best of the authors’ knowledge, this study is the first to examine how online and offline channels belonging to different business entities can work together to increase customer intentions.

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem.

This study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes.

The results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively.

Although hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.

The purpose of this study is to investigate multichannel integration of hotels and online travel agencies (OTAs) and to compare consumer behavior between China and Indonesia in the context of online to offline (O2O) commerce. We examine how the services, brand and market share of OTAs influence behavioral intentions in both online and offline channels. SERVQUAL, theory of reasoned action and the halo effect are integrated to develop the research model.

To investigate Chinese and Indonesian customers' experiences and behavioral intention of OTAs and hotels, the customers who booked hotels using OTAs were invited to participate in the questionnaire survey. This study collected 336 and 305 data from China and Indonesia, respectively. A partial least squares structural equation modeling technique was used to test and compare the research hypotheses and model between China and Indonesia.

The results compare the similarities and differences of cross-country customer experiences and behavioral intentions of OTAs and hotels. The effect of website service quality on online satisfaction, the effect of online satisfaction on offline confirmation and the effects of offline confirmation and booking intention on patronage intention are significant and positive in both countries. Website service quality is positively associated with booking intention for Indonesia but not for China. The relationship between perceived size and booking intention is significant for China but not for Indonesia. The findings provide insights into the development of O2O commerce for global markets and multichannel strategies between OTAs and hotels.

With the development of O2O commerce, increasingly more hoteliers are opening up online and offline sales channels by cooperating with OTAs. Although several cross-country studies have investigated consumer behavior or behavioral intentions, behavioral settings are based on online or offline channels rather than the integration of both channels. Although some research has studied the integration or competition of OTAs and hotels, none of these studies have investigated the issues from the perspective of country comparison. This study provides the understanding of how customers in different countries and with different backgrounds react to the same e-commerce development, especially the cooperation of OTA and hotels.