8% were American. 9.7% were European and 6.7% were Japanese. The majority used s-commerce to purchase tickets for entertainment (44.5%) and 67% had been using s-commerce for more than two years.
The study shows that transaction safety (.480) and reputation (.450) both at the .01 level of significance, most contribute to trust in an s-commerce platform. The combination of all seven factors explains .784 of all variation in the sample with regard to trust in s-commerce. This is statistically significant at the .05 level of confidence and shows that purchase intentions can be explained by the seven-factor model the researchers created (Kim, Park, 2013). The model of s-commerce security and reliability therefore is statistically sound and applies to the South Korean social e-commerce industry. Study limitation include the lack of cross-sectional design definition and the development of an effective control group to measure dependent variable correlation to the trust measure. Another limitation is the lack of global applicability of results and lack of orthogonal support for each of the groups shown in the results. Overall the model is ideally suited for South Korea yet lacks enough statistical validity to be extrapolated on a broader context.
Critical Analysis of Evaluation of international Brand Alliances: Brand Order and Consumer Ethnocentrism
In the study Evaluation of international Brand Alliances: Brand Order and Consumer Ethnocentrism (Li, He, 2013) the authors are concentrating on the aspects of how ethnocentrism as they relate to the relative levels of growth throughout a nations; economy. The authors have found that the greater the economic growth, the less ethnocentric citizens are in preferring one brand over another (Li, He, 2013).
The study methodology includes two real brands that were based on fictitious brand alliances with known companies in Taiwan, the nation where the research as completed. The two brands were Heineken from the Netherlands, and Uni-President from Taiwan. Both brands are extremely well-known in the Taiwanese market and served as the basis of the comparison of ethnocentrism. The authors defined a methodology specifically designed to capture preferences for the Taiwanese brand over the well-known beer brand from the Netherlands. The methodology was also designed to reflect the employment of Taiwanese relative to the profits going to the Netherlands-based company. The survey instrument were printed questionnaires administered to two respondent populations.
The demographics of the survey included 46.9% of all respondents in the 20 to 30-year-old age group and 53.1% over 30. 56.4% were male and 44% were female in group one and 53.1% were male and 46.9% were female in group two., The surveys were presented both in English and Chinese and the respondents were given the opportunity to comment on the open-ended questions as well. The first set of respondents were based on Taiwan and the second in the United States.
The survey results indicated that the Taiwanese were less ethnocentric by at a statistically significant level than the Americans (Li, He, 2013). The study also showed that consumer ethnocentrism was also highest for native brands relative to tangential brands form mainland China as well (Li, He, 2013). The researchers noted that the greater the level of economic growth and stability of a country, the lower the ethnocentrism and more open adoption of international brands (Li, He, 2013). Brands weren't seen as a threat but as an addition to the overall experience of the consumers living in these nations. The study limitations included a lack of statistical quality control over each group in the sample. Selection and screening of respondents by brand loyalty and affinity was also not completed as well. Due to these factors this study is not considered statistically valid on a global level.
Critical Analysis of Social Customer Relationship Management (SCRM): How Connecting Social Analytics to Business Analytics
enhances Customer care and Loyalty
The ongoing evolution of Customer Relationship Management (CRM) continues to show potential for unifying the social networks and social media platforms individuals and companies rely on daily to communicate. The intent of the study Social Customer Relationship Management (SCRM): How Connecting Social Analytics to Business Analytics enhances Customer care and Loyalty (Nadeem, 2012) is to ascertain how effective the nascent field of Social Customer Relationship Management (SCRM) is and how it is progressing over time. The implications on greater Lifetime Customer Value (CLV), reduced churn and higher overall profitability are the goals of the analysis the researcher has in completing the study.
The methodology for the study is based primarily on a literature review of the latest SCRM studies, in addition to interviews with the leading experts...
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