2007, Vol.24, No.3

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

pISSN : 1013-0799 / eISSN : 2586-2073
https://journal.kci.go.kr/kosim

Organizations are investing in information systems for an ever-increasing number of end-user tasks. Extracting benefit from these investments increasingly depends on supporting effective use of information center and satisfying information center users. Information center is information intensive and the use of advanced technology may support user for delivering an unique capabilities in an organization. Information center represents an important source which seems very well suited for end-users support investigation. This research explores the end-user support factors that correlate with user satisfaction in information center. To exam user satisfaction, information supporting , service reliability, and system capabilities were identified as potential predictors of end-user support satisfaction at information center. Three hypotheses have been tested with the survey of 252 end-users examines 18 potential end-user support factors such as information supporting, service staff attitude, and system capabilities at information center. Service quality gap between perceived importance and performance for each support factor, is computed. The relationship between these service quality gaps and user satisfaction are tested. This study presents that the level of information supporting , service reliability, and system capabilities are significantly to user satisfaction, and it is influenced by the extent of service quality gap between perceived importance and performance for each support factor.

IT outsourcing has become a critical component of organizations, but improper expectations, ambiguous contracts and unclear goals frequently cause the failure of IT outsourcing. Especially we have to be concerned about the uncareful management of customer-supplier relationships based on a psychological contract perspective. This study focuses on the obligations of contractual parties for IT outsourcing which influence the outsourcing relationship(OR) and the successful performance of IT outsourcing(OP). The supplier obligations consist of the achievable infrastructure(S1) and capability(S2), and the customer obligations is composed of the acceptable environment(C1) and acceptability(C2) for IT outsourcing. This paper shows that the S1, S2, and C2 have an effect on the OR, the OR on the OP, and the S2 also on the OP directly. The four components of customer-supplier obligations are mutually related to each other. What is more, we must notice that the S2 has strong connections with the C2.

Automatic Recommendation System of Panel pool should be designed to support universal, expertness, fairness, and reasonableness in the process of review of proposals. In this research, we apply the theory of probabilistic ontology to measure relatedness between terms in the classification of academic domain, enlarge the number of review candidates , and rank recommendable reviewers according to their expertness. In addition, we construct a researcher network connecting among researchers according to their various relationships like mentor, coauthor, and cooperative research. We use the researcher network to exclude inappropriate reviewers and support fairness of reviewer recommendation process. Our methodology recommending proper reviewers is verified from experts in the field of proposal examination. It propose the proper method for developing a resonable reviewer recommendation system.