• Title/Summary/Keyword: IS(Information Systems) Success

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Deriving an ASP Success Model: An Application to Small Businesses (ASP 기반 정보시스템 성공 모형 도출: 소기업 적용을 중심으로)

  • Park, Jung-Hyun;Kim, Jeoung-Kun;Kim, Jong-Uk;Lee, Hee-Seok
    • Asia pacific journal of information systems
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    • v.14 no.1
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    • pp.43-58
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    • 2004
  • Recently, a market size for IT outsourcing has grown. As internet technology has been developed for accessing information resources, information systems have become internet-based, which is called an ASP(Application Service Provider); evaluating the performance for ASP becomes important. Therefore, this paper attempts to investigate the salient characteristics of ASP. An ASP success model is proposed based on information systems success models found in the literature. Our model is tested through a survey from 291 small companies. LISREL is used to demonstrate the suitability of our model, and the success factors for ASP are also investigated. Our result is likely to help provide useful guidelines for the successful ASP implementations.

A Study on the Mechanism Leading to the Success of CRM Systems Implementation (CRM 시스템 구현 성공 메커니즘에 관한 탐색적 연구)

  • 김희웅;곽기영
    • Journal of the Korean Operations Research and Management Science Society
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    • v.29 no.1
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    • pp.1-16
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    • 2004
  • Critical success factors (CSFs) have been replicated and applied in a wide variety of settings for more than two decades. Most previous research on CSF have focused on identifying critical factors, based on the variance theory, in terms of the correlation between individual factor and Information system (IS) success. However, it is unknown how a set of critical factors Influence each other and lead to IS success, which means the process of IS implementation. in this research, we aim to understand how a set of critical factors influence each other and lead to IS success in the context of IS implementation for Customer Relationship Management based on the process theory. This research has implications In explaining a mechanism leading to CRM systems success based on the influencial relationships among the critical factors.

An Empirical Study on the Determinants of Logistics Information Systems Success (물류정보시스템의 성공요인에 관한 연구)

  • Ok, Seok-Jae
    • International Commerce and Information Review
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    • v.7 no.3
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    • pp.159-175
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    • 2005
  • The purpose of the present study is to empirically and theoretically assess the logistics information systems (LIS) success in a quasi-voluntary IS use context. It is important to understand what factors impact the successful use of LIS. The research model is basically based on the framework of IS success proposed by DeLone & McLean(1992) and Seddon(1997). Structural modeling techniques were applied to data collected by questionnaire from 203 LIS users. The results show that user satisfaction play a significant role in influencing the system dependency. The results also revealed that user characteristics is directly affected by perceived usefulness, system quality and information quality, and indirectly influenced by user characteristics.

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The Social Networking Application Success Model: An Empirical Study of Facebook and Twitter

  • Ou, Carol X.J.;Davison, Robert M.;Huang, Vivian Q.
    • International Journal of Knowledge Content Development & Technology
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    • v.6 no.1
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    • pp.5-39
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    • 2016
  • Social networking applications (SNAs) are among the fastest growing web applications of recent years. In this paper, we propose a causal model to assess the success of SNAs, grounded on DeLone and McLean's updated information systems (IS) success model. In addition to their original three dimensions of quality, i.e., system quality, information quality and service quality, we propose that a fourth dimension - networking quality - contributes to SNA success. We empirically examined the proposed research model with a survey of 168 Facebook and 149 Twitter users. The data validates the significant role of networking quality in determining the focal SNA's success. The theoretical and practical implications are discussed.

An Empirical Study on the Success Factors and Performance Model of Hospital Information Systems (병원정보시스템의 성공 요인과 성과 모형에 관한 연구)

  • Ryu, Il;Kim, Mee
    • Asia pacific journal of information systems
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    • v.12 no.1
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    • pp.45-65
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    • 2002
  • Factors influencing the success or failure of information systems(IS) have been discussed in many literature. However, limited theoretical development or empirical research have examined the effectiveness of hospital information systems(HIS). This study set out the research model of influencing factors and the performance of HIS through theoretical studies based on Management Information Systems, and then empirically tested hypotheses related to the model. The model was tested using LISREL analysis on the sample of 274 respondents who have worked with the HIS. The major results of this study are as follows: First, system characteristics and organizational characteristics have a statistically significant influence on user satisfaction. Second, the hypothesis 3, proposing that computer self-efficacy would relate positively to user satisfaction, was not supported by the results, though. According to these results, system quality, information quality, service quality and support of top management are very important variables for IS success. The study's findings also indicate DeLone and McLean's model is correct in proposing that the indirect relationship between influencing factors and organizational effectiveness, mediated by user satisfaction, is an important one.

The Effect of the Project Managers' IT Competency and Managerial Competency on the Success of SI Projects : Focusing on the Moderating Effect of Project Size (SI 프로젝트에 있어서 프로젝트 관리자의 정보화 역량과 관리 역량이 프로젝트 성공도에 미치는 영향에 대한 연구 : 프로젝트 규모의 조절효과를 중심으로)

  • Lee, Choong C.;Park, Joo-Yeon;Choi, Jeong-Hoon
    • The Journal of Information Systems
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    • v.21 no.4
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    • pp.31-54
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    • 2012
  • Information Systems have played a strategic role in achieving business goal and become an essential tool in today's business environment. Thus, the number of developing SI project has increased and it becomes complex and sophisticated. It is known that project manager's leadership could lead the project success. In this study, project manager's competencies are divided into two types, information competency(information-oriented mind, information utilization competency, information development competency) and managerial competency(project management, human relationship, project expertise. The purpose of this study is to examine the effect of information competency and managerial competency on the SI project success and to find out the moderating effect of project size. The result of this study reveals that information utilization competency, project management competency and human relationship have a strong relationship with both customers and suppliers side of projet success. Moreover, the relationship between managers' competencies and project success is shown to be different by project size. The result of this study implies that each managers' competencies has to be developed and applied according to project's complexity and size.

Object-Oriented Modeling Activity and Systems Development Success: Theory and Empirical Exploration (객체지향 시스템 모델링 활동과 시스템개발 성공: 이론과 실증적 탐색)

  • An, Joon-Mo
    • Asia pacific journal of information systems
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    • v.10 no.4
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    • pp.37-56
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    • 2000
  • This study proposes the concept and measurement of object-oriented systems modelling activity based on the previous research in the area of systems engineering, object-oriented modelling, and information systems. The modelling activity is related to information systems development success for exploring the correlation of each other. The object-oriented modeling activity is found to be related to user satisfaction with developed information systems, But the modeling activity does not have relation to the other successes, such as cost, development schedule, and maintenance. This study contributes to systems development modeling research, systems success, and object-oriented systems modelling research. Practically, the results support the usefulness of object-oriented modelling effort in the field in terms of user satisfaction.

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An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective (참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구)

  • Kang, Sung-Bae;Moon, Tae-Soo;Chung, Yoon
    • Asia pacific journal of information systems
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    • v.20 no.3
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

Assessing the Success rate of e-Learning Systems Aadoption in Saudi Higher Education Institutions during COVID-19 Pandemic: Student Perspective

  • Aljuhani, Nouf;Matar, Zinah;Alzahrani, Asma;Saeedi, Kawther;Badri, Sahar;Fakieh, Bahjat
    • 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.

Are Critical Success Factors of BI Systems Really Unique?

  • Kim, Sung Kun;Kim, Jin Yong
    • Journal of Information Technology Applications and Management
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    • v.24 no.1
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    • pp.45-61
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    • 2017
  • Business intelligence has been attracting much attention these days. Despite such popularity of BI systems, it is widely known that about a half of BI system projects have failed. To grasp why many BI projects end in failure and what factors would make BI projects less failure-prone, a number of BI studies were made to produce a variety of CSFs. However, there is a paucity of information on whether these CSFs are distinctive from those of typical information systems. By identifying how BI CSFs differ from CSFs of typical information systems, we would be able to explain why most BI projects are more likely to be failure. It is believed that a corrective measure about CSFs will lead to more success in future BI projects. In addition, though there have been a number of similar types of BI systems such as decision support systems and executive information systems in existence, there was no study to determine whether there is ever a discrimination between CSFs of BI systems and the similarly-titled systems. This study is to answer these questions using a literature review analysis. The findings of our study are expected to be helpful in a successful implementation of BI systems.