Mobile service operators are struggling to build strong relationship with their customers. The Saudi Market is described as a highly regulated and competitive sector. Consequently, it is essential that mobile service operators re-evaluate the level of their service quality and understand its critical factors that influence customer eWOM and switching intention through emotional and cognitive responses. According to the literature review, there is a need for studies on customer behaviour to demonstrate whether customer responses are prominent indicators of how customers feel. In addition, there is a lack of empirical study and theoretical modelling of the relationships between customers' emotional response and constructs based on other service experience. The main aim in this research is the investigating customer intentions influenced by service quality using the mediation of emotional and cognitive responses in Saudi Arabia. This research develops a theoretical framework that integrates a set of cognitive and emotional response (pleasure and arousal) to examine the influence of service quality on customer intention by using theory of reasoned action (TRA) and stimulus-organism-response (S-O-R), merged into one framework. Therefore, hypotheses are developed to test the relationship between the framework variables. This research adapts a quantitative methodology along with the positivist philosophical approach to investigate hypothetical relationships within the conceptual framework. This research used online surveys completed by mobile and social media users, including a survey with 601 responses out of 621. To analyse and validate the data, this study applies the structure equation model by using Statistical Package for the Social Sciences (SPSS) AMOS V. 23. The result indicates that there are significant relationships between service quality dimensions and emotional response (pleasure and arousal). Moreover, subjective norms have a significant relationship with customer intention and emotional response. In addition, emotional response has, both directly and indirectly, a significant relationship with customer intention. The overall results of this research indicate that both the effect of service quality on eWOM and switching intention were mediated by customer attitude and by the pleasure and arousal emotional responses. These research outcomes yield several theoretical and practical implications. A key limitation of this research is its data collection by using a quantitative research approach and cross-sectional methodology; consequently, the data collection was done solely in the KSA.

Due to the increased number of niched retail banks in Sweden, the competition for the customers has become severe. Bank customers in the Swedish bank market tend to stay with their bank. The challenge of how to manage to attract new customers is a central part of the retail banks’ management tasks. The research area on which we have been focusing on is the area of consumer behavior. We have been focusing on student switching behavior of financial services provided by retail banks in general and ICA banken in particular. To strengthen the practical connection, we choose to focus on the case of ICA banken. Our objective was to investigate which predictors that affect switching intention and investigate how these predictors affect students’ switching behavior, which in the extension will contribute to how retail banks can work towards manage these rising issues. We formulated the following research question: How do the predictors of switching intention affect switching behavior in the retail banking context? Our purpose was to investigate the predictors of switching intention and their effects on switching behavior in the retail banking context. The study was performed with a quantitative method and a deductive approach. By using a convenience sampling technique, we collected the data electronically. The population examined was the student segment at Umeå University. Our questionnaire was constructed with the theoretical chapter as framework, and the discussion, conclusion and practical implications are based on our empirical findings. Our study was geographically limited to Umeå University. The ability to generalize our findings was also limited, due to our chosen sampling technique. We reached a conclusion that the greatest predictor of switching intention was attitude towards switching. Additionally, the greatest predictors of switching behavior was a combination of attitude towards switching and customer satisfaction. Our practical implications consisted of the recommendation for retail banks to focus on developing marketing strategies that would bank customers more positive towards the act of switching bank in order to attract new customers. Our findings showed that bank customers in general were neither negative nor positive towards the act of switching bank. For ICA banken we gave three proposals; to attract new customers, to transform customers that only partly use the bank to customers that use ICA banken for the majority of their financial transactions and to maintain current customers. These actions are made by managing customer satisfaction, brand image, the relational investment between ICA banken and customers, and subjective norms since these should affect the attitude towards switching bank.

Basically, to evaluate the operational performances of online auction is according to seller¡¦s transaction and investment in the auction website. Thus, how to maintain good relationship with the existing seller switching and attract new seller is the most attention and major care for auction service provider. However, there were few prior researches focused on the topic of online auction switching and examined from real case. In this study, we tried to develop a measuring model and explore the factors that relate to auction seller¡¦s switching. In July 2006, Yahoo! Kimo auction, the largest auction website in Taiwan, announced a new fee scheme which would charge 3 percent transaction handling fee on its sellers from Aug. 10. Many users expressed objection to the new charge scheme. During the same period, Ruten, a new joint venture auction website that combined eBay and Taiwanese portal operator PChome is nearly ready and makes some responding strategic approaches to attract new user. Many sellers of Yahoo! Kimo auction thought to switch auction provider. Base on the background, the study aim to explore auction seller¡¦s switching behavior through switching costs, including procedure costs, financial costs, and relational costs. Moreover, we examined how website quality, fee, anti-lock-in, and anti-switching affect switching intention and behavior. A total of 292 usable questionnaires were gathered through online surveys from auction discussion board and BBS. The data were analyzed by partial least squares (PLS) to test the hypotheses. We find that switching costs, website quality, fee have negative effect on seller¡¦s switching intention. Anti-lock-in and anti-switching have moderating effect in the model. According to the finding, we provide useful guidance for auction seller and auction service provider.

網路使用者對社群網站的依賴日漸加深，同時，使用者卻在不同社群服務供應商之間不斷轉換，綜觀過去研究，多著眼於服務供應商與使用者的關係，有鑑於此，本研究欲探討影響社群網站消長的主要因素，進而修正既有轉換行為模式，發展社群網站轉換行為模式。本研究收集667份有效問卷，以鎖定效應(包括轉換態度、主觀規範、轉換成本、過去轉換行為、多方尋找傾向)、品質、易用度、個人化、網站形象、滿意度、涉入度、使用頻率、互動頻率為自變項，轉換意圖為中介變項，轉換行為為應變項，研究結果發現鎖定效應能有效預測社群網站轉換意圖與轉換行為，轉換意圖正向影響轉換行為，進一步發現個人化、網站形象、涉入度、網站使用頻率會直接影響轉換行為，並根據社群網站的特性，將轉換成本重新分類，以供未來社群相關研究參考。 / This research was done to study the switching behaviors of social networking sites users. Data was obtained via an empirical survey of 667 social networking sites users. The findings of this study indicate that mooring effects(including attitudes toward switching, subjective norms, switching costs, and variety-seeking tendencies) appears to have a stronger influence both on user’s switching intentions and switching behaviors, and a positive relationship between switching intentions and switching behaviors. Furthermore, the personalization, website image, involvement and frequency of use have direct influence on switching behaviors. According to the characteristics of social networking sites, this study classifies the categories of switching costs for further research.