An exponential growth in the usage of the internet and e-commerce has led to the creation of many e-commerce retail malls. In addition to promotional schemes and prices, these e-commerce retailers use online information quality and website design to differentiate themselves from other retail players. Therefore, the objective of this research is to investigate how e-commerce information quality (information trust and information accuracy) and website design influence customer satisfaction, and how customer satisfaction subsequently influences user shopping loyalty in South Korea. Using an online survey, data were obtained from 600 users of e-commerce shopping malls in Korea. Results from structural equation modeling showed that information trust, information accuracy and website design had a positive influence on customer satisfaction, which subsequently led to user shopping loyalty. This paper has useful implications for e-commerce retail malls. One important implication is that e-commerce retailers must endeavor to provide trustworthy information, accurate information and a comfortable website design to attract and retain customers.

Social media platforms insist on the so-called “number of visits, clicking, and subscription” as a measurement of social media performance. However, this method of measurement does not take into account dormant user accounts and unintentional clicks or visits. To fully understand social media performance, this study aims to examine the process of users’ discontinuance behavior from the view of technostress creators and socialstress creators through social media fatigue. Also, this study investigates the influence of involvement between social media fatigue and discontinuance behaviors. To understand the impact of technostress and social stress creators on users’ discontinuance behavior, this study conducted an off- and online survey in Korea. Using Confirmatory factory analysis (CFA), this study has a strong academic contribution because it identifies the existing methods measuring social media performance through numbers of accounts or joining in as inaccurate.

The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.