• Title/Summary/Keyword: Success model

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Analytic Model on the Success/Failure Structure of New Product Development by Product Characteristic Grill (제품속성별 신제품개발의 성패구조 분석모형)

  • Gwon Cheol Sin;Lee Jae Ha
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.205-211
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    • 2002
  • The purpose of this paper is 1) to extract managerial factor into each cell which is classified by the characteristic grill of new products 2) to construct a management model of new product development for korean companies. For this purpose, the characteristic grill of new products is classified by which is market/technology sphere. Moreover the focus of this analysis is on examination of success/failure factors, which have an important effect upon new product success or failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond. Conclusion of this study based on many significant results gained by the various multi-variate analysis are summarized as follows. First, it can he noted that success/failure factors are different by each classified model and characteristic grill of a new product. Second, it has been identified that the important factors of success products were technical & management support and market ability, the important factor of failure product were lacking in ability of technical development and R&D management system construction. This paper presents some useful guidelines in strategic and managerial aspects for development of new products. Concurrently, the model of this study should be a great practical approach for application of actual affairs.

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A Model to Measure the Success of a Web-based Information System at a Government Agency - the Chungwadae Case (공공기관 업무관리시스템 성과평가 모형 개발에 관한 연구: 청와대 업무관리시스템(e지원시스템)을 중심으로)

  • Bae, Lee-Chul;Hong, Il-Yoo
    • Asia pacific journal of information systems
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    • v.18 no.1
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    • pp.97-115
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    • 2008
  • Introduction The e-government is concerned with using Internet and Web technologies to exchange information and services with citizens, businesses and other related organizations, and it centers on three functions, namely informational, interactive, and transactional [UN, 2001]. Many developed countries like the U.S. have been actively involved in e-government projects, since they enable both more effective public services for citizens and more efficient internal operations. Korea is among these leading countries that are planning to leverage computer and communication technologies to provide for integration of work processes and information as well as convenient access to information and services. For this reason, evaluating e-government projects is becoming a crucial issue for both researchers and policy-makers. However, most research to date has primarily focused on a model of success of an e-government system designed for citizens, overlooking internal systems specifically created for employees working in a public organization. This paper is intended to propose a model to measure the success of a Web-based information system designed for use by internal users at Chungwadae, the executive branch of Korea's central government. The paper is also aimed at applying the model to the assessment of the present system being used at Chungwadae in comparison with the preceding system. Evaluating an e-Government System The most widely cited model of information systems success today is that of DeLone and McLean[1992, 2003, 2004]. The original model states that the success of an information system can be measured using six dimensions, including system quality, information quality, use, user satisfaction, individual impact, and organizational impact. Although the ultimate success of an information system may be reflected in the impact that the system has upon individuals as well as an organization, aspects of using the system such as system use and user satisfaction can play an important role in determining the system success, because the system would be a sheer failure if users don't like and use the system. As a response to criticisms given by numerous researchers, the authors adapted their model to fit the emerging Web-based environment. The revised model[DeLone and McLean, 2003] they offered included an additional quality dimension, namely service quality, and combined individual and organizational impacts into net benefits which can also influence user satisfaction. The e-government system success model can be built around this updated model. Our model incorporates information quality, system quality, and service quality as in the DeLone and McLean model. However, the 'system use' dimension has been replaced by perceived usefulness, as suggested by Seddon[1998]. In addition, because the e-government systems that this paper focuses on are internal public systems used in government agencies, the 'net benefits' dimension has been replaced by perceived work efficiency. Based on the proposed model, a total of nine hypotheses have been formulated which we tested using an empirical analysis. Methods A questionnaire form has been created with items that are designed to examine the relationships among the variables in the model. The questionnaire has been handed over, in person, to 65 members of Chungwadae staff who are now actively using the E-Support System, the present information system created to support internal work at Chungwadae. We made arrangements to meet with each individual who agreed to participate in our survey, and helped to fill out the survey form with explanations. Of the 65 copies that were delivered, only 33 were returned, and 30 responses of these have been adopted for our analysis, since three were not valid. The extremely small sample size was due to the limited number of staff members who had adequate experience required of this study. Results We gathered data from the questionnaire survey and analyzed them using a regression analysis to test the hypotheses. As shown in the table below, the results indicated that all three dimensions of an information system’s quality are positively related to user satisfaction. However, information quality and system quality were found to be positively related to perceived usefulness, while service quality was not. In addition, perceived usefulness is not positively related to user satisfaction, implying that a user may find a system useful, but may not be satisfied with it. Finally, user satisfaction and perceived usefulness both are positively related to perceived work efficiency. This suggests that workers' positive experience with the system is important to guarantee favorable work efficiency. Conclusions We conclude that the proposed model proved useful in measuring the success of an internal information system used by a government agency. To demonstrate the applicability and usefulness of the model in the paper, we applied the model to the assessment of the present internal system used at Chungwadae in comparison with the preceding system. The results showed that the present system outperforms the preceding one in a statistically significant way. Future research will have to focus on applying the model to Korea's governmental agencies other than Chungwadae and examine whether it proves applicable in different types of governmental organizations.

A Review Study of the Success Factors Based the Information Systems Success Model (정보시스템 성공모델 기반 성공요인에 관한 문헌적 고찰)

  • Nam, Soo-Tai;Jin, Chan-Yong
    • 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.

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The Moderating Effect of Individual Factors on Information Systems(IS) Success Model (개인의 특성이 정보시스템 성공에 미치는 조절효과분석)

  • Lee, Dong-Jin;Lee, Sang-Chul;Suh, Yung-Ho
    • 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.

Prediction of rebound in shotcrete using deep bi-directional LSTM

  • Suzen, Ahmet A.;Cakiroglu, Melda A.
    • Computers and Concrete
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    • v.24 no.6
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    • pp.555-560
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    • 2019
  • During the application of shotcrete, a part of the concrete bounces back after hitting to the surface, the reinforcement or previously sprayed concrete. This rebound material is definitely not added to the mixture and considered as waste. In this study, a deep neural network model was developed to predict the rebound material during shotcrete application. The factors affecting rebound and the datasets of these parameters were obtained from previous experiments. The Long Short-Term Memory (LSTM) architecture of the proposed deep neural network model was used in accordance with this data set. In the development of the proposed four-tier prediction model, the dataset was divided into 90% training and 10% test. The deep neural network was modeled with 11 dependents 1 independent data by determining the most appropriate hyper parameter values for prediction. Accuracy and error performance in success performance of LSTM model were evaluated over MSE and RMSE. A success of 93.2% was achieved at the end of training of the model and a success of 85.6% in the test. There was a difference of 7.6% between training and test. In the following stage, it is aimed to increase the success rate of the model by increasing the number of data in the data set with synthetic and experimental data. In addition, it is thought that prediction of the amount of rebound during dry-mix shotcrete application will provide economic gain as well as contributing to environmental protection.

A Study on the Success Model for the Establishment of Big Data System in Public Institutions (공공기관 빅데이터 시스템 구축을 위한 성공모형에 관한 연구)

  • Lee, Gwang-Su;Kwon, Jungin
    • Journal of Digital Convergence
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    • v.20 no.1
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    • pp.129-139
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    • 2022
  • This study aims to identify which factors affect successful big data system construction, identify the relationship between the factors, and identify the success model and success factors necessary for public institutions to build big data systems. Therefore, the preceding and related studies related to this study were reviewed, and success factors for the establishment of a big data system were derived based on this. As a research method, a survey was conducted on users of institutions that have established or planned to build a big data system, and a structural equation (AMOS) was conducted to verify the impact relationship between success factors. As a result of the analysis, organizational support factors, development support factors, user support factors, information quality, service quality, system quality, use, and net benefit were derived as success factors for building big data systems, and a success model was presented. This can be seen as significant and academic contributions in that it is the first study of the success model for building an information system reflecting big data characteristics, and it is expected that this study will be used as basic data for building a big data system in public institutions in the future.

Examining Success Factors of Online P2P Lending Service Using Kano Model and Fuzzy-AHP (Kano 모형과 Fuzzy-AHP를 이용한 온라인 P2P 금융 서비스 성공요인 도출)

  • An, Kyung Min;Lee, Young-Chan
    • Knowledge Management Research
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    • v.19 no.2
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    • pp.109-132
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    • 2018
  • Recently, new financial services related to FinTech has gained attention more and more. Online P2P financial services transactions such as FinTech require careful examination of the constituents of information systems as an investment is made based on the information presented on the online platform without direct face-to-face contact. The purpose of this study is to find out the success factors of online P2P Lending service among FinTech. To serve the purpose, we build IS (information system) success model, and then use Kano model and fuzzy analytic hierarchy process (Fuzzy-AHP) to find out factors for the success of online P2P Lending service. In particular, this study uses Kano model to classify information system satisfaction factors and to calculate the satisfaction coefficient. The Kano model, however, has a drawback of evaluating single criterion. Therefore, we use multi-criteria decision-making technique such as Fuzzy-AHP to derive the relative importance of the factors. The analysis results show different results depending on the analysis technique. In the Kano model, most of the information system factors are a one-dimensional quality attribute. The satisfaction coefficient is highest for personalized service, followed by the responsiveness of service, ease of using a system, understanding of information, usefulness of information' reliability. The service reliability is the highest in dissatisfaction coefficient, followed by system security, service responsiveness, system stability, and personalized service. The results of the Fuzzy-AHP analysis shows that the usefulness of information quality, the personalization of service quality, and the security of system quality are the significant factors and the stability of system quality was a secondary factor.

Success Factors for Social Shopping: From the Combined Perspective of Social Capital Theory and Information System Success Model (소셜쇼핑의 성공요인: 사회적 자본이론과 정보시스템 성공모델의 관점에서)

  • Lee, Jungmin;Lee, Jae-Nam
    • Knowledge Management Research
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    • v.12 no.5
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    • pp.41-57
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    • 2011
  • Social commerce is simply a kind of e-commerce by adopting SNS(Social networking service). It has been spread as SNS is widely used all over the world. In this situation, companies attempt to make the best use of social commerce to understand its advertising effect and to sell more products and/or services they provide. Although social commerce is a recent trend in Korea, it is necessary for companies to find a way to effectively adopt and utilize the social commence. Therefore, the focus of this study is to identify critical success factors for social shopping. We generated 40 items to measure 8 constructs. Using data collected from 300 respondents who have experienced both SNS and social shopping, we analyzed our model and its hypotheses. The analysis result shows that social shopping customers don't use SNS to get information when they purchase products and/or services in social shopping web sites.

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An Exploratory Empirical Study on the Partnership and Performance of IT-enabled Business Process Outsourcing : A Case of CTI(Computer Telephony Integration) based Customer Service Center Outsourcing (정보기술 기반 비즈니스 프로세스 아웃소싱 파트너십과 성과에 관한 탐색 : CTI(Computer Telephony Integration) 기반 고객서비스센터 아웃소싱 사례를 중심으로)

  • An Joon Mo;Oh Min Suk
    • Journal of Information Technology Applications and Management
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    • v.12 no.1
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    • pp.241-259
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    • 2005
  • This study explores a model of partnership to the success of outsourcing CTI(computer telephony integration) based customer service centers of a telecommunication service company. The motivation of the study is to extend the research on IT outsourcing to IT-enabled BPO of customer service centers as a specific IT outsourcing practice. Previous research on IT outsourcing partnership and success is reviewed for developing an a research model of IT-enabled BPO. This model is proposed based on the previous partnership success models in information systems research. The results of the study confirm major factors related to successful IT-enabled BPO in previous research. Especially, the specificity of a contract and strategic collaboration in partnership are found to be influential on the success of IT-enabled BPO.

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Assessing e-Book Success Model based on the Information System Success Model (정보 시스템 성공 모형을 적용한 e-Book 성공 모형의 평가)

  • Oh, Chang-Gyu
    • 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.