• Title/Summary/Keyword: Measuring IS Success

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Measuring User Success in the Electronic Government Environment (전자정부 성공도 측정수단 및 측정수단에 관한 연구)

  • Jung, Jin-Taek
    • Journal of Digital Convergence
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    • v.1 no.1
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    • pp.45-67
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    • 2003
  • Developing user success metric will make it possible to evaluate the effectiveness of different electronic government systems and will help produce empirical data relating user success to task performance in electronic government environments. The purpose of this study is that combining output-oriented and interaction-oriented variables together into a single model might explain more of the variance in the dependent variable user success in a electronic government than either type of variable could have explained alone. The hypothesized reason is that user success is the result of the reciprocal effects of the properties of the information system and several facets of psychological functioning. Thus, the complex interplay between the system and the user in certain situational contorts may produce different degrees of user success with electronic governments.

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Management of ASP Outsourcing Project Risks using Real Option Approach (실물옵션 접근법을 활용한 ASP 아웃소싱 리스크 관리)

  • Nam, Seung-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.7
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    • pp.2396-2405
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    • 2010
  • Information System (IS) Outsourcing is one of the powerful alternatives to guarantee the competitive advantages in the rapidly changing business environment. Most studies on IS outsourcing area have focused on the Critical Success Factors(CSFs) influencing the Success of IS outsourcing or the performance measuring the success of IS outsourcing projects. The CSFs or the performances which measures the success of IS outsourcing project have limitations to explain how to succeed in doing IS outsourcing project. This study uses Real Options Approach to make IS outsourcing projects' success by recognizing and minimizing IS outsourcing risks.

A QUALITATIVE SURVEY ON SUCCESS FOR MAINTENANCE PROJECTS

  • Albert P C Chan;Daniel W M Chan;Edmond W M Lam
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.186-195
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    • 2007
  • Key Performance Indicators (KPIs) are the criteria of measuring project performance in order to attain construction excellence. Previous researchers have examined the abstract concept of success for general new construction and identified its relationship with the factors of success. In fact, most buildings exist to satisfy the needs of people. With the passing of time and change in technology, buildings have to be maintained and renovated in order to continue functioning properly for the benefits of users. Therefore, criteria and factors of success have increasingly attracted the attention of both researchers and practitioners, especially in cities where buildings become ageing. However, the topic of project success for maintenance projects is less discussed in previous research, and project participants, including maintenance surveyors should be able to identify the success measurement and its associated factors for performance improvement. This study fills the research gap by investigating the criteria and factors of success for maintenance projects. It first provides a summary of the literature review on the criteria and factors of success for construction projects. An empirical study has also been carried out with ten practitioners in Hong Kong to further identify the criteria and factors critical for the success of maintenance projects in practice. While most criteria and factors of success for new construction projects are also applicable to maintenance projects, participants in maintenance projects believe that effective communication is in particular important to provide quality service to the end-users.

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Effect of IT Manufacturing Firms' Technological Innovation Factors -From Government Support Level- (IT제조업 정부 지원 수준이 기술혁신에 미치는 영향)

  • Park, Tae-Hoon;Park, Kyung-Hye
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.17-22
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    • 2012
  • The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success. A hypothesis was established for the impact relation between technological innovation success and government support level, which was verified through the logistic regression analysis. In conclusion, in terms of government support, IT manufacturing companies to the success of product innovation, technology development(R&D) and commercialization of direct support is needed for the financial support. And, the success of process innovation is accomplished through manpower training of technical personnel.

A Split Criterion for Binary Decision Trees

  • Choi, Hyun Jip;Oh, Myong Rok
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.411-423
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    • 2002
  • In this paper, we propose a split criterion for binary decision trees. The proposed criterion selects the optimal split by measuring the prediction success of the candidate splits at a given node. The criterion is shown to have the property of exclusive preference. Examples are given to demonstrate the properties of the criterion.

An Empirical Study on the Measurement of e-Learning Success (e러닝 성공 평가에 관한 연구)

  • Son, Mac;Cho, Eun-Young;Kim, Hee-Woong
    • Knowledge Management Research
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    • v.15 no.2
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    • pp.67-88
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    • 2014
  • This study aims to investigate on measuring the success of e-Learning. For this purpose, we proposed a research model that consists of e-Learning contents quality, e-Learning system quality, e-Lecturing quality, sense of e-Learning community factors as independent factors and e-Learning and e-Learning satisfaction as mediators and tested it empirically based on the structural equation model. The empirical results showed that e-Learning contents quality, e-Learning system quality, sense of e-Learning community factors directly lead to e-Learning. The study also found that e-Learning contents quality, e-Lecturing quality, sense of e-Learning community factors bring about higher e-Learning satisfaction and that e-Learning satisfaction has a positive impact on e-Learning. Furthermore, the research discovered that both e-Learning and e-Learning satisfaction have a significant relationship with e-Learning net benefits. This research renders its theoretical contribution to analyzing a positive influence of sense of e-Learning community, a newly suggested variable added to the existing IS success model in this study, on e-Learning. From a practical view, the findings of this study can lead to improving the quality of e-Learning in today's era where the growth of e-Learning industry is quite noticeable.

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Measuring and Predicting Success of Uvulopalatopharyngoplasty in Obstructive Sleep Apnea Patients (폐쇄성 수면무호흡증 환자에서 구개수구개인두 성형술의 결과평가 및 예측 변수에 관한 고찰)

  • Park, Young-Hak;Park, So-Young
    • Sleep Medicine and Psychophysiology
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    • v.3 no.1
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    • pp.31-37
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    • 1996
  • Uvulopalatopharyngoplasty(UPPP) is an operation that is frequently performed for the patient of obstructive sleep apnea(OSA). A major problem has been to select those patients who will have a good response to UPPP. We compared preoperative and postoperative polysomnography(PSG) in 20 patients to evaluate the success rate of the operation. Each subject underwent a cephalometric roentgenogram, and fiberoptic nasopharyngoscopy with Mueller maneuver was applied in roentgenogram and fiberoptic nasopharyngoscopy with Mueller maneuver was applied in preop evaluation of patients with OSA. No PSG parameter could accurately predict the changes in sleep after UPPP. There were no significant differences between the responders and the nonresponders concerning the cephalometric analysis, the type of obstruction by Mueller maneuver, and body mass index(BMI). The conclusions of this study are thus that UPPP is an effective treatment for the OSAS with a high success rate, but that there is no single useful parameter predicting the success of the operation.

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ISRI - Information Systems Research Constructs and Indicators: A Web Tool for Information Systems Researchers

  • Varajao, Joao;Trigo, Antonio;Silva, Tiago
    • Journal of Information Science Theory and Practice
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    • v.9 no.1
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    • pp.54-67
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    • 2021
  • This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

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.

A Study on the Correlation beween Visual Excess and Height Measuring Precision (과고감과 표고측정정밀도와의 상관관계에 관한 연구)

  • 최재화;운홍식
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.4 no.2
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    • pp.10-26
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    • 1986
  • In a stereoscopic measurements on the aerial photogrammetric works, it is in general understood that the larger and the larger is a vertical scale exaggeration, the better and the better is height measuring precision. Despite the success with which a stereoscopic measurement has been applied to contour mapping as well as spot height measurement, no generally accepted theory for visual excess has yet been developed. This experiments aim at arrangement of a correlation between visual excess and height measuring precision. The stereoscopic measurements with parallax bar in the mirror stereoscope are carried out on the test model of which consists normal angle, wide angle and super wide angle respectively. With the result of this experiments, it is conclued that height measuring precision is proportional to the magnitude of visual excess.

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