DEVELOPMENT OF A K-NN MODEL TO PREDICT THE POLARITY OF KOREAN GAME REVIEW COMMENTS

The purpose of this paper is to develop the machine learning model to evaluate game software in quantitative scale using opinion mining with the review comments which are provided by users in Korean. To do this, we first decompose the review comments into a lot of meaningful morphemes, and second construct a dictionary for opinion mining. Third, we develop a k-NN model to predict the polarity of review comment. Finally, we predict the polarity for each review comment which is included in validation data set by the model. The experimental results of the developed model are performed by the model which is implemented by JAVA and R language

Examining Information Systems Infusion over the Routinization

Information systems (IS) infusion becomes important from the management perspective because organizations can leverage IS investment only at the IS infusion stage. The model for the stages of IS implementation explains that IS infusion can be achieved through IS routinization. This study examined how to achieve IS infusion through routinization based on application of the psychological empowerment theory and the unified theory of acceptance and use of technology (UTAUT), respectively. This study adds value to the IS literature by explaining how IS routinization leads to IS infusion and how their antecedents are different and related across the two stages. This study also provides guidance on how organizations can promote IS infusion beyond IS routinization, which then helps organizations leverage their IS investments

Quantifying the Influence of Climate Variation on Typhoon Rainfalls and Streamflows in South Korea

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Application of Copula-Based Markov Model to Generate Monthly Precipitation

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

A User Commitment Approach to Information Systems Infusion

Many organizations have huge investments on information systems (IS) but are unable to achieve the maximum benefits expected. The IS infusion stage refers to the state of using IS to its full potential. IS infusion is a form of organizational citizenship behavior because full utilization of IS requires extra-role behaviors (i.e., IS use beyond the mandated usage) beyond intra-role behaviors (i.e., mandated IS usage). As commitment is a key driver of organizational citizenship behavior, IS infusion requires the user’s commitment to IS usage. This study investigates the development of user commitment from the socio-technical system design perspective and the effect of user commitment on IS infusion. We identified five constructs from the socio-technical system design (job fit, task competence, technology competence, self-determination with technology, and self-determination with task). A survey of 236 enterprise system users showed that user commitment has a positive effect on IS infusion. User commitment, in turn, is influenced by job fit, technology competence, and self-determination with task. This study contributes to IS infusion research by introducing the development of user commitment from the socio-technical system design perspective. Managers can promote user commitment in order to reach the infusion stage of fully utilizing information systems

What motivates people to post comments online?

Cyberbullying, i.e., posting malicious comments online, has been identified as a critical social issue in the online and social media context. As a way to prevent cyberbullying, it is important to promote online prosocial behavior. This study examines what motivates people to post benevolent comments as online prosocial behavior in the online context. For this purpose, we first adopt an exploratory study to identify decision factors in terms of social exchange decision making. We then undertake a main study by developing a theoretical research model based on the identified decision factors. The testing results explain what and how those explored factors affect the posting of benevolent comments online in the social media context. The study has its theoretical contribution in demonstrating the decision factors leading to the posting of benevolent comments by extending the social exchange theory. It also has its practical implications by providing guidance for promoting online prosocial behavior