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The purpose of this paper is to examine the key factors that affect users’ adoption of e-books using an extension of the unified theory of acceptance and use of technology (UTAUT) that includes the following factors: environmental concerns, perceived benefits, and benevolence trust.

The authors analyzed survey responses from 343 participants using structural equation modeling to examine the hypothesized relationships in this research model.

The results show that users’ adoption of e-books is determined by performance expectancy, effort expectancy, social influence, facilitating conditions, environmental concern, perceived benefit, and benevolence trust.

The authors restricted this study to consumers’ adoption of e-books. Further studies could examine consumer’s adoption of other mediums, such as cutting-edge information technologies.

The results suggest that marketers should consider altering their methods of promoting e-books to attract consumers and further affect their usage intention.

This study proposes and tests an extended UTAUT model that includes the additional factors of environmental concern, perceived benefit, and benevolence trust in order to examine the influence of these factors on e-book adoption. The findings are particularly useful for assisting managers to increase e-book adoption.

This paper aims to examine the user’s willingness of golfers toward the use of GPS navigation based on the technology readiness and acceptance models.

This study developed the research structure based on the theory of the technology acceptance and readiness model to address the relationship between technology readiness, perceived usefulness, perceived ease of use, user’s attitude and behavioral intention. A purposive sampling questionnaire was used in this study to investigate golf participants in Central Taiwan. In all, 245 copies of the questionnaire were issued. About 240 copies were returned and after removing the invalid copies, there were 230 valid questionnaires for a valid response rate of 95.8 per cent.

The research results indicated that technology readiness has a significant influence on perceived usefulness, technology readiness has a significant influence on perceived ease of use, perceived ease of use has a significant influence on perceived usefulness, perceived usefulness has no significant influence on user’s attitude, perceived ease of use has a significant influence on user’s attitude, user’s attitude has no significant influence on behavioral intention and perceived usefulness has a significant influence on behavioral intention.

The technology acceptance model has been widely used to examine user's acceptance and willingness toward computer technology or an information product. This study, hence, is based on this model to investigate the user's willingness of golfers toward golf GPS and shall serve as a reference for future golf sports promotion and device R&D.

Strong evidence suggests that word‐of‐mouth (WOM) communication varies in its influence according to product type; however, empirical research remains deficient. The purpose of this paper is to propose a procedural model to examine the influence of product type on both the effect and spread of related WOM information at the same time.

Using a self‐administered questionnaire, a sample of 895 consumers across 16 different products was collected; results were analyzed using structural equation modeling.

WOM was found to be more influential and more widely spread for services than for goods. In addition, although the level of receivers' perceived risk (PR) is generally assumed to be a significant antecedent of WOM influence (WI), the results of the study indicate that PR is not a direct function of WI. Instead, WOM request (WR) mediates the effect of PR on WI.

To the authors' knowledge, this is the first study to examine the relationship between product type and WOM from a dyadic perspective. Moreover, the authors introduced two important mediators – namely, PR and WR – in the model in order to identify different potential effects of WOM in a seeker‐initiated context. The results of this study will enhance knowledge about the influences of WOM information.

Leisure and tourism activities have proliferated and become important parts of modern life, and the hotel industry plays a necessary role in the supply for and demand from consumers. The purpose of this paper is to develop guidelines for hotel service development by applying a service development approach integrating Kansei engineering and text mining.

The online reviews represent the voice of customers regarding the products and services. Consumers’ online comments might become a key factor for consumers choosing hotels when planning their tourism itinerary. With the framework of Kansei engineering, this paper adopts text mining to extract the sets of Kansei words and hotel service characteristics from the online contents as well as the relationships among Kansei words, service characteristics and these two sets. The relationships are generated by using link analysis, and then the guidelines for hotel service development are proposed based on the obtained relationships.

The results of the present research can provide the hotel industry a comprehensive understanding of hotels’ customers opinions, and can offer specific advice on how to differentiate one’s products and services from competitors’ in order to improve customer satisfaction and increase hotels’ performance in the end. Finally, this study finds out the service development guidelines to meet customers’ requirements which can provide suggestions for hotel managers. The implications both for academic and industry are also drawn based on the obtained results.

Now, in the internet era, consumers can comment on their hotel living experience directly through the internet. The large amount of user-generated content (UGC) provided by consumers also provides chances for the hospitality industry to understand consumers’ opinions through online review mining. The UGC with consumers’ opinions to hotel services can be continuously collected and analyzed by hoteliers. Therefore, this paper demonstrates how to apply the hybrid approach integrating Kansei engineering and online review mining to hotel service development.

The purpose of this paper is to formulate and solve a last-mile distribution plan problem with concern for the quality of fruits and vegetables in cold chains.

The vehicle routing problem with time windows (VRPTW) is extended based on the characteristics of fruit-and-vegetable cold chains. The properties of multiple perishable foods, continuing decline in quality, various requirements for quality levels and optimal temperature settings during vehicle transportation are considered in the VRPTW. The product quality level is defined by the estimation of residual shelf life, which changes with temperature, and is characterized by a stepped decrease during the transportation process as time goes on. A genetic algorithm (GA) is adapted to solve the problem because of its convincing ability to solve VRPTW-related problems. For this purpose, solution encoding, a fitness function and evolution operators are designed to deal with the complicated problem herein.

A distribution plan including required fleet size, vehicle routing sequence and what quality level should be shipped out to account for the quality degradation during vehicle transportation is generated. The results indicate that the fulfillment of various requirements of different customers for various fruits and vegetables and quality levels can be ensured with cost considerations.

This study presents a problem for last-mile delivery of fresh fruits and vegetables which considers multiple practical scenarios not studied previously. A solution algorithm based on a GA is developed to address this problem. The proposed model is easily applied to other types of perishable products.

This study was to develop a methodology of online review analytics for hotel quality management at macro and micro levels. The macro level was for understanding the service properties critical to quality and future development. The micro level was for personalized quality diagnosis for individual hotels.

Textual reviews of superior hotels were studied using latent semantic analysis and Kano model to understand what service properties customers concern and expect. Taguchi's quality engineering was applied to establish a quality reference base using superior hotels for evaluating other hotels in the same semantic space. A decision tree algorithm was then used to identify the properties critical to quality discrimination, and the decision rules were used to diagnose individual hotels.

The service properties concerned by customers for superior hotels were identified. The market positioning and value of each property to customers were clarified. For individual hotels, the deficiencies of service properties were diagnosed. With reference to market positioning, deficient properties of priority in improvement and the strategies for enhancing competitiveness were suggested.

The proposed methodology demonstrated the potential value that review analysis can achieve a new and deeper understanding of customer voices and transform it into more specific business operation requirements. The research and application gap that most previous studies only stayed at the macro-level analytics was filled. Moreover, this study effectively applied the diagnostic techniques derived from quality engineering to online review analytics.

This paper aims to explore the relationships between emotional intelligence (EI), conflict management styles and job performance in a Chinese cultural context.

The present paper uses a cross-sectional research design. Paper-based questionnaires were distributed to employees working in the R & D department of a science and technology institute in Taiwan. In total, 300 questionnaires were distributed and 248 valid questionnaires were analyzed, with a return rate of 81.4 per cent.

The results show that EI has a positive impact on job performance. Furthermore, agreeable conflict style positively moderated between EI and job performance, whereas active conflict style has negative moderating effect.

Due to the research design, sample and data collection method, the research results may lack representativeness. Therefore, researchers are encouraged to use a different approach in the future.

Organizations should strengthen employees’ EI and conflict management abilities to improve job performance. Organizations can apply the results of this study in accordance with their policy on recruitment, selection and training.

Organizations should strengthen employees’ EI and conflict management abilities to improve job performance. Organizations can apply the results of this study in accordance with their policies on recruitment, selection and training.

The new Silk Road provides cross-border-e-commerce firms with an opportunity to widen their markets. Under this circumstance, the preference recognition of countries and inventory allocation among overseas warehouses both become critical issues to solve. Three Chinese smartphone brands, including HTC, Huawei, and MI, are selected in this chapter for their relatively enormous sales. DHgate and AliExpress websites are chosen as platforms to analyze the sales for data availability. This chapter first depicts key features of the sales and then, based on which, divide countries into several groups according to their preference for phones by cluster analysis. Then, based on the results of cluster analysis, this chapter further models the inventory assignment among the seven major overseas warehouses that were built by AliExpress in 2015. The results show that the HTC seems to be pursuing the “high value with high price” strategy, while the other two companies seem to be pursuing a hybrid strategy of “low-price” strategy and “high value with low price” strategy. This chapter also provides an assignment pattern of inventory among the overseas warehouses based on the real data of sales and costs.