Evaluation of an On-line Collaborative Examination Process

This paper presents the evaluation results of an on-line collaborative examination process. The process includes students making up questions, picking out questions, answering, grading etc. all in an on-line environment (Virtual Classroom™). Data analysis shows students have a favorable feeling towards this innovative form of exam. More than 55% of subjects agreed that they learned a great deal from having to make up the question, looking at all the other questions, looking at others’ answers, and grading another student’s answer. Also 55% of them would recommend the process be used for future exams. Observations from the instructor are also presented. Lastly, possible improvements in the examination and evaluation process are discussed

Consumer Choice Behavior On The Web: The Effects Of Product Attributes On Willingness To Purchase

This study investigates how consumers’ choice behavior in the electronic marketplace depends on their ability to judge product attributes and how willingness to purchase products is affected by the different attributes of the products. This study applied von Neumann-Morgenstern utility theory to explain how consumers combine perceptions of product attributes into preferences under uncertain situations in the electronic marketplace and employed The Dot-Com Retail Continuum, proposed by Figueiredo (2000), to classify the products online. Major findings suggest that a consumer’s purchase decision in the electronic marketplace is affected by that consumers’ ability to assess the product attributes and also propose competitive strategies on various product categories to the dot-com retailers

Exploring determinants of performance indicator and customer satisfaction of accommodation sharing

The study aims to investigate determinants of performance indicator and perceptions of existing and potential customers in accommodation sharing. This study uses data of Airbnb in Busan and Jeju from January 1 to December 31 in 2018, provided by AirDNA. The total number of listed accommodation sharing were 5,109 accommodations in Busan and 11,502 accommodations in Jeju. More than 90 property types of registered accommodation are subcategorized and re-classified in this study. Study 1 examined current usage and effects of factors on performance indicator in tourism destinations by applying Airbnb data. Study 2 investigated effects of perceived factors on satisfaction, intention to use, loyalty, and tourism competitiveness by applying online survey data. This study applies statistical analyses such as factor and regression analyses, ANOVA, t-test, and MANOVA. Results of Study 1 showed that usage and effects of accommodation sharing differ from regulation that is related to sharing types. Effects also differ based on travel destinations. Results of Study 2 showed how customers perceive accommodation sharing differ from pure meaning of sharing. The results of Study 1 and 2 found significant effects of price and service factors on performance indicator and customer satisfaction. The findings of Study 2 showed significant effects on loyalty and tourism competitiveness.1

Figure 1. Key Components of e-CRM

How businesses resolve customer complaining behavior effectively has been considered a “defensive marketing” strategy [12] or a “zero-defections ” [22] strategy, which diminishes customer dissatisfaction. Handling customer dissatisfaction accompanies Web customer complaint management, which might be the critical issue for online customer service solutions and e-CRM. In this paper, the authors 1) investigate the current sources and causes of online complaints; 2) seek effective ways of handling customer complaints by examining different product types; and 3) provide guidelines for successful e-CRM. One thousand customer complaints from three different publicized ebusiness customer service centers and five hundred complaints from online feedback systems were analyzed in this study. The research findings suggest that ebusinesses should 1) provide excellent online customer services because customer service is the most important factor in online customer satisfaction; 2) respond to customers ’ requests/complaints fast because the response speed is more important in online customer satisfaction than offline; and 3) employ strategies tha