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Both journal self-citations and exchanged citations have the effect of increasing a journal’s impact factor, which may be deceptive. The purpose of this paper is to analyse academic journal quality and research impact using quality-weighted citations vs total citations, based on the widely used Thomson Reuters ISI Web of Science citations database (ISI). A new Index of Citations Quality (ICQ) is presented, based on quality-weighted citations.

The new index is used to analyse the leading 500 journals in both the sciences and social sciences, as well as finance and accounting, using quantifiable Research Assessment Measures (RAMs) that are based on alternative transformations of citations.

It is shown that ICQ is a useful additional measure to 2-year impact factor (2YIF) and other well-known RAMs for the purpose of evaluating the impact and quality, as well as ranking, of journals as it contains information that has very low correlations with the information contained in the well-known RAMs for both the sciences and social sciences, and finance and accounting.

Journals can, and do, inflate the number of citations through self-citation practices, which may be coercive. Another method for distorting journal impact is through a set of journals agreeing to cite each other, that is, by exchanging citations. This may be less coercive than self-citations, but is nonetheless unprofessional and distortionary.

The premise underlying the use of citations data is that higher quality journals generally have a higher number of citations. The impact of citations can be distorted in a number of ways, both consciously and unconsciously.

Regardless of whether self-citations arise through collusive practices, the increase in citations will affect both 2YIF and 5-year impact factor (5YIF), though not Eigenfactor and Article Influence. This leads to an ICQ, where a higher ICQ would generally be preferred to lower. Unlike 5YIF, which is increased by journal self-citations and exchanged citations, and Eigenfactor and Article Influence, both of which are affected by quality-weighted exchanged citations, ICQ will be less affected by exchanged citations. In the absence of any empirical evidence to the contrary, 5YIF and AI are assumed to be affected similarly by exchanged citations.

International tourism is a major source of export receipts for many countries worldwide. Although it is not yet one of the most important industries in Taiwan (or the Republic of China), an island in East Asia off the coast of mainland China (or the People's Republic of China), the leading tourism source countries for Taiwan are Japan, followed by USA, Republic of Korea, Malaysia, Singapore, UK, Germany and Australia. These countries reflect short, medium and long haul tourist destinations. Although the People's Republic of China and Hong Kong are large sources of tourism to Taiwan, the political situation is such that tourists from these two sources to Taiwan are reported as domestic tourists. Daily data from 1 January 1990 to 30 June 2007 are obtained from the National Immigration Agency of Taiwan. The heterogeneous autoregressive (HAR) model is used to capture long memory properties in the data. In comparison with the HAR(1) model, the estimated asymmetry coefficients for GJR(1,1) are not statistically significant for the HAR(1,7) and HAR(1,7,28) models, so that their respective GARCH(1,1) counterparts are to be preferred. These empirical results show that the conditional volatility estimates are sensitive to the long memory nature of the conditional mean specifications. Although asymmetry is observed for the HAR(1) model, there is no evidence of leverage. The quasi-maximum likelihood estimators (QMLE) for the GARCH(1,1), GJR(1,1) and EGARCH(1,1) models for international tourist arrivals to Taiwan are statistically adequate and have sensible interpretations. However, asymmetry (though not leverage) was found only for the HAR(1) model and not for the HAR(1,7) and HAR(1,7,28) models.

The Basel II Accord requires that banks and other authorized deposit‐taking institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure value‐at‐risk (VaR). The risk estimates of these models are used to determine capital requirements and associated capital costs of ADIs, depending in part on the number of previous violations, whereby realized losses exceed the estimated VaR. The purpose of this paper is to address the question of risk management of risk, namely VaR of VIX futures prices.

The authors examine how different risk management strategies performed before, during and after the 2008‐2009 global financial crisis (GFC).

The authors find that an aggressive strategy of choosing the supremum of the univariate model forecasts is preferred to the other alternatives, and is robust during the GFC.

The paper examines how different risk management strategies performed before, during and after the 2008‐2009 GFC, and finds that an aggressive strategy of choosing the supremum of the univariate model forecasts is preferred to the other alternatives, and is robust during the GFC.

Purpose: The purpose of the present study is to synthesize and organize existing literature on contagious diseases and tourism. This systematic mapping of the literature helps to identify various mature and emerging themes around the research domain in the literature.

Design/Methodology/Approach: The study uses systematic methodology along with bibliometric and content analysis. Using a combination of electronic database searching and forward and backward references searching, the study identifies 160 suitable published studies.

Findings: Initial bibliometric analysis reveals that Tourism Geographies and Tourism Management are most influential journals and Law and Lee are most influential authors working on this field. The Hong Kong Polytechnic University and Universiti Sains Malaysia are among the top contributing educational and research organizations. Further, the content analysis reveals that literature on contagious diseases and tourism industry revolves around three prominent themes namely SARS and other contagious diseases, crisis management and tourism forecasting.

Research Limitations/Implications: The study does not consider ‘grey literature’ and conference proceedings.

Originality and Value: Present study is one of the early attempts that analyzes the literature on contagious diseases and tourism using bibliometric analysis and contributes to the literature by identifying various mature and emerging on contagious diseases and tourism literature. These insights provide a robust map for future investigation in this field and also offer implications for practitioners.

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.

To obtain a competitive advantage in the logistics market, international express companies should design services to stimulate customers’ usage intention by understanding customers’ affective perceptions (or in Japanese, Kansei) of the service offerings. Thus, the purpose of this paper is to analyze the relationships among the service elements of international express, customer Kansei perceptions, and intentions to use the service, to provide new ideas for the design of international express services (IESs).

By using Kansei engineering approach, customers’ Kansei perceptions related to elements of IES are first determined, and the logistic regression technique is then used to analyze three constructed models based on the relationships among the service elements of international express, customers’ Kansei perceptions, and usage intention.

Accordingly, five critical service elements that correspond to four vital Kansei words related to usage intention were obtained based on cross-comparisons of the results of three models. The findings have important implications for international express managers, in that the priorities in designing services should be those service elements that favorably elicit certain Kansei perceptions among customers and effectively lead to customers’ usage intention in the pre-purchase phase. Moreover, some important missing Kansei perceptions further derived from customers’ real service experiences in the post-purchase stage should be incorporated into future design considerations.

This study incorporated customers’ Kansei perceptions into the procedure of IES design. By understanding the service elements and feelings that customers deem important, international express companies can improve the content of existing services and strengthen the design of new services to increase customers’ behavioral intentions.

Unique product design is a highlight of sustainable branding. The purpose of this paper is to investigate whether product design affects customers’ psychological responses (i.e. cognitive and affective responses) to smartphones, and, in turn, affects their brand loyalty (i.e. attitudinal and behavioral brand loyalty), further advancing the knowledge of product design and brand management.

This work used survey data from 456 Taiwanese with experience using smartphone. Structural equation modeling was employed to test the proposed model and hypotheses.

The results indicate that the product design significantly affects both cognitive response and affective response, which, in turn, significantly affect both attitudinal brand loyalty and behavioral brand loyalty. The findings also suggest that the moderating effect of product involvement on the relationship between product design and affective response is statistically significant, although it does not positively and significantly moderate the link between product design and cognitive response.

This study has two main limitations. First, this study was conducted in the context of smartphones, thus potentially constraining the generalization of the results to other industries. Second, the data in this study were obtained from a cross-sectional design.

These findings can permit companies to generate more brand loyalty in their customers and guide their management of assets and marketing activities.

This paper presents new insights into the nature and importance of product design in brand value.

By applying Kano model, this study attempts to investigate the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.

In this paper, the research framework and hypotheses are constructed through a literature review. Kano model is applied to classify the home delivery service elements into five quality attributes and gender is included to understand the difference of customer perception on the obtained quality elements. Statistical analyses of the collected questionnaires were computed based on the 476 effective responses regarding the home delivery service.

The results confirm that customers' perception of home delivery service elements are classified into one‐dimensional and must‐be attributes by Kano model, while this study contributes to the creation of attractive elements that significantly affect the customer satisfaction and owning an enormous potential to further differentiate competitors. Customer satisfaction is positively correlated with different types of service convenience. It also suggests that the customers with different gender have significantly different views to quality elements of home delivery service.

The major contribution of this study is that it attempts to examine the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.