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The purpose of this paper is to explore the relationship between social networking sites (SNSs) users’ switching intentions and switching behavior. With regard to the former, the authors focus on three factors (perceived value, trust, and perceived risk), and investigate whether and to what extent habit moderates the relationship between SNS-switching intention and actual switching behavior.

Data collection for this study was carried out using an anonymous survey. The questionnaire was devised based on the literature review. It consisted of a total of 34 items, all of which used the seven-point Likert scale, and was divided into nine sections. Data collection lasted for approximately three months from March to May 2015. Data analysis used SPSS and SmartPLS statistical software packages. First, the descriptive statistics were computed. Next, reliability as a measure of internal consistency was calculated. Then, the relations between all factors were explored.

Before they switch, users usually evaluate the perceived values and risks of the SNSs they might join, as well as establish the degrees of trust with respect to those networks. Hence, this study is potentially useful to SNS providers planning their business strategies, and/or seeking to optimize their services based on a detailed understanding of the concerns of users and potential users.

This study is of considerable importance to the future development of research on switching intention behavior theory and practice, adding to the body of work on specific frameworks that explain the SNS-switching intention and behavior. The main theoretical implication is that the epistemic value component of the perceived value may not significantly affect switching intentions, at least in the SNS context. In addition, the results regarding the moderating effects of habits are a useful confirmation, in the SNS context, of the findings of a small but important body of prior studies.

The basic assumption is that there is a symmetric relationship between review valence and rating, but what if review valence and rating were linked asymmetrically? There are few studies which have investigated the situations in which positive and negative online reviews exert different influences on ratings. This study considers brand strength as having an important moderating role because the average rating of existing reviews for a particular product is a heuristic cue for decision makers. Thus, the purpose of this paper is to argue that an asymmetric relationship between review content valence and numerical rating will depend on brand strength.

The authors have conducted a sentiment analysis via text mining, using self-developed computer programs to retrieve a data set from the TripAdvisor website.

This study finds there is an asymmetric relationship between review valence (verbal) and numerical rating. The authors further find brand strength to have an important moderating role. For a stronger brand, negative review content will have a greater impact on numerical ratings than positive review content, while for a weaker brand, positive review content will have a greater impact on numerical ratings than negative review content.

Marketers could adopt sentiment analysis via text mining of online reviews as a valid measure or predictor of consumer satisfaction or numerical ratings. Strong brands should direct more attention to negative reviews, because in such reviews the negative impact transcends the positive. In contrast, weak brands should aim to exploit as many positive reviews as possible to minimize the impact of any negative reviews.

This study finds there is an asymmetric relationship between review valence (verbal) and numerical rating and considers brand strength to play an important moderating role. The authors have used real data from the TripAdvisor website, which allow people to express themselves in an unsolicited manner, and linked these with the results from the sentiment analysis.

The purpose of this paper is to develop an evaluation model to determine the relative weights of key factors influencing international market development (IMD) success through analysis network process (ANP) during group decision-making. An empirical case of the Taiwan bulk shipping industry is used to illustrate the feasibility of the proposed approach.

The literature review is performed to generate 20 key success factors (KSFs) along with four factor categories in IMD (such as organizational capability, environmental scanning, international strategy and internationalization behavior). Then, ANP is applied to develop an evaluation model that prioritizes the relative importance linking the above four factor categories with 20 evaluated KSFs.

With respect to the final weights for factor categories, “international strategy” and “environmental scanning” are the two most important criteria, followed by “organizational capability” and “internationalization behavior”. The results also showed that by reviewing the global weights of the 20 KSFs of IMD, “service as competitive advantage”, “market potential” and “risk taking” have the highest rankings.

The findings indicate that firm expansion into international markets typically depends on a successful international strategy. Hence, to enhance their global market competitiveness, Taiwan bulk shipping firms should focus their efforts on planning international market entry strategy and prioritizing shipping services with high-potential target markets.

Theoretically, the study results can provide both theoretical basis and empirical evidence, indicating the relative weights and priorities of KSFs of IMD for the Taiwan bulk shipping industry. From the managerial perspective, the analytical results can help managers focus on main factors and identify the best policy to improve their IMD practice and performance.

By extending the existing service quality dimensions and reflecting the low-cost carriers (LCCs) context, the purpose ot this study aims to develop the research model to examine whether passenger satisfaction mediates the relationship between service quality and behavioral intentions of LCCs across low- and high-experience passengers.

Data collected from 320 passengers (180 for low-experience passengers and 140 for high-experience passengers) to test the research model. The partial least square structural equation modeling approach was used to perform the path modeling and multi-group analysis.

The results confirm that passenger satisfaction mediates the relationship between four service quality constructs (tangible features, service reliability, quality of personnel and online ticketing service) and behavioral intentions (repurchase and recommendation intentions) for both low- and high-experience passengers. However, convenient flight schedule has a significant influence on passenger satisfaction only for low-experience passengers.

The results of multi-group analysis indicated that passenger satisfaction exerts stronger effect on recommendation intentions for low-experience passengers. LCCs managers' priority should be placed on providing satisfying service experiences to less experienced passengers. Improved passenger satisfaction through superior service quality motivates low-experience passengers to recommend LCCs, thus increasing the positive word-of-mouth promotion.

Theoretically, this study is first considering both low- and high-experience LCCs passenger perceptions to examine how passenger satisfaction mediates the relationship between service quality and post-purchase intentions. From the managerial perspective, the findings can provide useful management insights into developing multi-faceted strategies that allow LCCs firms to restore passenger confidence and retain their repurchase intentions.

This study aims to investigate the relations between CEO gender, power and bank performance. First, this study examines the relation between CEO gender and power. Do female CEOs possess less power than male CEOs? As women reach the top, do they hold similar or even higher levels of power as men? Second, this study investigates the relation between the CEO gender and bank performance. How do female CEOs perform? Is the relation between gender and performance subject to CEO power?

This study uses the following three performance measures: ROA, pre-tax ROA and pre-provision profit over assets. This study follows Finkelstein’s (1992) classifications and adopt five variables to measure the four dimensions of CEO power: duality and compensation share measure structural power; ownership captures ownership power; number of functional areas measures the power of expertise; and elite education captures prestige power. Logit model, ordinary least squares regression and quantile regression methods are used in the analysis.

In a sample of Chinese banks, female CEOs are found to have similar power and performance as male CEOs. As women reach the top, they hold higher ownership and greater prestige power than men. Female CEOs even outperform male CEOs in non-state dominated banks. Female CEOs show their impact through their power: those with higher compensation shares or greater power are positively related to bank performance.

Overall, the results show that as women reach the top, they hold a higher level of power than men. As females break through the glass ceiling, they perform better than males. Moreover, female CEOs show their impact through their power. Female CEOs who overcome the barriers are less traditional and more self-directed than their peers.

The purpose of this paper is to explore the relationships among cognitive-based trust, affect-based trust, sense of belonging, self-image congruity, perceived community-brand similarity, and information intention by applying the uses and gratification (U&G) theory and the dual mediating hypothesis in the context of Taiwanese social networking brand sites.

This study uses specific metrics to measure construct items. The respondents have used or currently use the Facebook Apple fan page for more than three months. This study conducts the online survey of mySurvey through the website and provides respondents with convenience store coupon rewards to increase the response rate. This study collects 500 samples with 381 valid samples and uses a structural equation modeling to test the research hypotheses.

The effects of cognitive-based trust on psychological factors are higher than the effects of affect-based trust on psychological factors. In addition, cognitive-based trust has the largest effect on perceived community-brand similarity as well as on self-image congruity. Hence, cognitive-based trust is far a more important factor than affect-based trust for the effects on psychological factors. Self-image congruity has significant and positive effects on the intention to give, obtain, and pass information. Self-image congruity has the largest effect on the intention to pass information as well as on the intention to obtain information, but sense of belonging has the largest effect on the intention to give information. The effects of perceived community-brand similarity on the intention to give information and the intention to obtain information are significant yet mild.

SNS members are eager to participate in e-word-of-mouth (e-WOM) activities via affection and social interaction, care for each other, and a feeling of concern. SNS managers should focus on members’ interaction content and processes to foster long-term relationships and create value propositions. Managers should use innovative online platforms to maintain communication and interaction in order to: provide cognitive trust among members; acquire members’ trust; retain members; and enhance members’ connectivity. SNS managers must increase members’ psychological connection, utilize cognitive-/affect-based trust, and attract brand devotion for common interests.

In terms of the SNS members’ interaction and participation in interpersonal relationships, psychological perspectives can generate long-term reliance and sense of belonging. The willingness to exchange information and the involvement of continuous participation can affect the e-WOM behavior of giving and passing information. Brand fan page members are more willing to engage in e-WOM intentions when they have a higher self-image congruity and sense of belonging.

This study adopts the tricomponent attitude model to examine the relationship among cognition, affection, and behavioral intentions of community members between individuals and groups.

This paper aims to compare different univariate forecasting methods to provide a more accurate short-term forecasting model on the crude oil price for rendering a reference to manages.

Six different univariate methods, namely the classical decomposition model, the trigonometric regression model, the regression model with seasonal dummy variables, the grey forecast, the hybrid grey model and the seasonal autoregressive integrated moving average (SARIMA), have been used.

The authors found that the grey forecast is a reliable forecasting method for crude oil prices.

The contribution of this research study is using a small size of data and comparing the forecasting results of the six univariate methods. Three commonly used evaluation criteria, mean absolute error (MAE), root mean squared error (RMSE) and mean absolute percent error (MAPE), were adopted to evaluate the model performance. The outcome of this work can help predict the crude oil price.