• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.23-39
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• 2004

This paper focused on empirically testing the ESM(Electronic-Store Success Model). The model was developed by basing upon the ‘Updated D&M(DeLone and McLean) IS Success Model(2003)’ and reflecting the characteristics of marketing and e-business, and composed of the six dimensions including system quality, information quality, service quality, trust, customer loyalty and financial performance. The research model consisting of five dimensions, excluding financial performance, was proposed and empirically verified by structural equation model with respect to data from 224 customers on 69 Electronic-Stores. The results show that system quality and information quality significantly influence service quality, and that service quality also significantly influence trust and customer loyalty, and that trust has significant influence on customer loyalty.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.123-125
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. In addition, extract value from large amounts of structured or unstructured data set and means the technology to analyze the results. Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We conducted a meta-analysis and review of between success factors based the information systems success model researches. This study focused a total of 14 research papers that established causal relationships between success factors based the information systems success model published in Korea academic journals during 2000 and 2016. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.71-101
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• 2006

Modern companies have heavily invested in developing CRM systems without explicitly knowing how the systems improve customer relationship management. Many researchers have attempted to find the factors that contribute to the success of CRM systems. However, most research have investigated the direct relationships between CRM success factors and system success without explaining how the factors contribute to the system success. It seems to be logical to think that success factors enhance the customer equity value management (CEVM) capability of the firms and then these capabilities are the foundation for the success of systems. In this study, we developed a CRM success model that includes CEVM capability as a mediating variable. The research followed the following steps: (1) CRM success factors that have theoretical relationship with CEVM capability are identified and categorized, (2) the theoretical relationship between CEVM capability and CRM performance is established in the perspective of strategic CRM, and (3) the research model is tested with the survey data collected from Korean firms.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.39-50
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• 2012

With the obligation of information system supervision and an increase in supervision demands, the quality improvement in information system supervision has been of significance, and the supervision system has been enhanced in the way of preventing information systems from being poorly established. In the meantime, recently the supervision industry has received administrative punishment due to violation of supervision guidelines and false reports. As a result, the introduction of the responsible supervision of information systems to strengthen the rights and duties of supervisors and supervision corporations has been discussed by supervision corporations. Therefore, this work was intended to propose success factors to introduce responsible supervision in the information system supervision sector, and thereby contribute to the introduction of responsible supervision system that plays a successful role in preventing poor supervision and establishing information system business. The success factors of the responsible supervision of information systems, proposed in this work, were categorized into legal system, standardization of supervision work, those concerned with supervision. And, detailed success factors of each category were proposed, and on the basis of that, the success model to introduce responsible supervision successfully was proposed.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.3
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• pp.13-26
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• 1999

Recently, information technology and information system(IS) are rapidly diffused throughout the world. In the global competitive environment, the success of IS becomes the important one among the critical success factors(CSF) of the firm. For achieving it, the firm must continually involve itself in the quality evaluation and improvement of IS. The quality concept was changed into the customer-oriented quality one. There is no exception to the quality of IS. In the past, IS quality was determined by the IS developer or IS department offering service. Now it is evaluated by the user of IS service, and then the customer-oriented user satisfaction becomes an important issue. The purpose of this study is to develope the total quality evaluation model of IS through TQM approach. First, all success factors of the domestic IS are extracted from the foreign and domestic literatures of IS success factors contained the technical and behavioral aspects. And the extracted factors are classified with evaluation levels for quality evaluation and developed into a total quality evaluation model. Finally the model usefulness is analyzed.

• The Journal of Information Systems
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• v.32 no.1
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• pp.109-146
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• 2023

Purpose With Intelligent public service (IPS), it is possible to automate the quality of civil affairs, provide customized services for citizens, and provide timely public services. However, empirical studies on factors for the successful use of IPS are still insufficient. Hence, the purpose of this study is to empirically analyze the factors that affect the success of IPS with classification function. ISSM (Information System Success Model) is considered as the underlying research model, and how the algorithm quality, data quality, and environmental quality of the discrimination system affect the relationship between utilization intentions is analyzed. Design/methodology/approach In this study, a survey was conducted targeting users using IPS. After giving them a preliminary explanation of the intelligent public service centered on the discrimination system, they briefly experienced two types of IPS currently being used in the public sector. Structural model analysis was conducted using Smart-PLS 4.0 with a total of 415 valid samples. Findings First, it was confirmed that algorithm quality and data quality had a significant positive (+) effect on information quality and system quality. Second, it was confirmed that information quality, system quality, and environmental quality had a positive (+) effect on the use of IPS. Thirdly, it was confirmed that the use of IPS had a positive (+) effect on the net profit for the use of IPS. In addition, the moderating effect of the degree of knowledge on AI, the perceived accuracy of discriminative experience and IPS, and the user was analyzed. The results suggest that ISSM and TOE framework can expand the understanding of the success of IPS.

• Journal of Korean Society for Quality Management
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• v.41 no.2
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• pp.277-288
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• 2013

Purpose: This study aims to analyze the success factors of information systems and the moderating effect of individual factors in mandatory environment. Methods: In order to test the model, a questionnaire survey is delivered from salespersons of an insurance company in Seoul, Korea. 200 questionnaires are finally analyzed. Structural Equation Modeling (SEM) is adopted to analyze the data and Smart PLS 2.0 is used for examining the moderator effect. Results: The extended model proposed in this paper adopted individual factors and examined their moderator effect among constructs. An empirical test is carried out accordingly in order to test the model proposed in this paper. The results reveal that individual factors (i.e. Computer Self-Efficacy, Anxiety, Personal Innovativeness in IT) have a significant moderating effect on individual performance in the environment of mandatory information system usage. Conclusion: This paper extended the research field of information system success model to information systems in mandatory environment regarding differences of individual factors.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.83-96
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• 2014

This study is to identify which variables have influence on establishing successful Integrated Information Systems and relationships among these variables and to find a success model and success variables in establishing Integrated Information Systems in Korean universities. Precedent studies and other studies related to this study were reviewed and on the basis of these reviews, success variables were found to establish Integrated Information System. As for the research method, questionnaires were applied for employees working in universities and junior colleges. In order to verify influence relationships among success variables, a regression analysis was conducted. As a result, success variables for establishing Integrated Information Systems include organizational support, user support, development support, system quality, information quality, use, and net benefits. By identifying relationships among these variables, a success model was presented.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.77-88
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• 2022

In response to the significant COVID-19 outbreak, countries have enforced the use of E-learning systems as an alternative to traditional learning; to contain the virus and minimize the infection rate while maintaining the continuity of the learning experience. However, the effective adoption of E-learning systems requires a well-understanding of critical factors, especially in times of crisis. In this regard, this study intends to assess the success of the E-learning system adoption by Higher Education Institutions (HEIs) during the crisis of COVID-19 by utilizing the Information Systems Success (ISS) model. This study's adopted model consists of nine interdependent dimensions, namely: Technical System Quality, Information Quality, Service Quality, Learner Quality, Perceived Satisfaction, Perceived Usefulness, System Use, Intention to Use, and System Success. An electronic survey was distributed among higher education students from different universities in Saudi Arabia to explore each model's dimension. Structural Equation Modeling (SEM) has been applied via SmartPLS software to test the causal relationships between dimensions. This study's main results revealed that students' Service Quality, Learner Quality, and the Intention to Use by students are essential drives for E-learning System Use during the Covid-19 pandemic. Meanwhile, the Intention to Use the system is significantly influenced by Perceived Satisfaction and Perceived Usefulness dimensions. Further, Perceived Satisfaction, Perceived Usefulness, and System Use are interdependent, and all three have a significant positive impact on E-learning System Success.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.61-82
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• 2012

With the proliferation of the e-Book industry, people are increasingly interacting with e-Book as information systems. While e-Book contains the components regarded as an information system(IS), few studies have been conducted to assess the success of e-Book from IS perspective. This study proposed and empirically evaluated an e-Book success model. Structural equation modeling techniques were applied to the data collected by questionnaire from 241 users of e-Book. Every relationship among constructs was significantly supported by the data. This finding provided theoretical implications to extend existing e-Book research into the broader IS research area. Furthermore, this study illustrated the use of multi-group structural analysis to test the differences in structural weights between high e-Book and high paper book utility groups. The managerial implications of the results in setting different relationships and allocating appropriate paths to vitalize the e-Book market were discussed.