• Title/Summary/Keyword: Success Factor and Failure Factor

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A Dual-factors Analysis of BPR Success Factors (리엔지니어링 성공요인의 이원론적 분석)

  • Juhn, Sung-Hyun;Jeong, Seung-Ryul;Bae, Jun-Bum
    • Asia pacific journal of information systems
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    • v.11 no.2
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    • pp.205-221
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    • 2001
  • The previous BPR success factor research assumes that a success factor is responsible for both the success and failure of the BPR implementation. This paper proposes that a BPR success factor is not necessarily a failure factor, i.e., success and failure of BPR implementation are two distinct phenomena that possess different sets of causal factors. The paper also proposes that the factors are different in terms of the degree and type of influence they exert on the BPR implementation. An empirical research was conducted to validate the propositions. The research results indicate that the BPR success and failure have different causal factor sets, and that the factor influence manifests in different realms and domains. The implications of the research are discussed at the end.

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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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Critical Success and Failure Factors of e-Government Project Implementation in Kenya (케냐의 전자정부 프로젝트 핵심 성공 및 실패 요인)

  • Wamoto, Francis O.K.;Hwang, Gee-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.2
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    • pp.119-128
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    • 2016
  • Use of ICT in Government has ability to improve service delivery to its citizens, and yet many developing countries have lagged behind in the implementation of e-Government. Many e-Government initiatives also failed to achieve their objectives in developing countries. This paper therefore aims to identify critical failure or success factors in Kenya, using Heeks' Factor Model. A survey questionnaire was developed and data were collected and analyzed from officials and interested citizens. The analysis results enabled to highlight seven specific success and failure factors, and their constituent elements in Kenya. The Kenyan overall e-Government implementation score belongs to the Zone of Improvement (3.52 of total 5.0), which means partial success or failure. The enablers of e-Government projects are good strategy formulation, and internal and external drive, whereas main failures of e-Government are weak ICT infrastructure. The areas for improvement are project management, design, competencies and funding. Data analysis highlights both strengths and weaknesses for each factor or variable. In particular, Kenyan government excels at the drive for change by top to bottom government officers as well as external stakeholders, while the government officers who are using e-Government are satisfied with the availability of vision, strategy and plan of e-Government implementation. Both technologies and e-transactions laws were the worst of all the variables in e-Government implementation. Two areas should be improved using immediate corrective action. In-depth study reveals that government officers and citizens can't fully use their laptop and mobile devices due to the lack of both ICT network and its operating technology, and legal system associated with the transaction of business information. Finally, the study ends up with recommendations for policy makers to shape the future of e-Government system in both developing and developed countries.

Comparison Analyses of Implementing 6 Sigma Management between China and Korea Companies: Korea side

  • Ree, Sang-Bok;Ma, Yizhong
    • International Journal of Quality Innovation
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    • v.9 no.2
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    • pp.119-127
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    • 2008
  • In this paper, we survey Six Sigma in Korea company real fields. Six Sigma itself are developed depend on each company culture and strategy. Our country has been more than 10 years since introduced Six Sigma in our country. Each company which work six Sigma are developed differ way depending on his company situation. Our country Six Sigma in our country is necessary to survey and analysis. Firstly, we survey how to use Six Sigma. Next, we survey to find success factor and failure factor by reports published by company and papers by published in journals.

Critical Factors Affecting No-dispute Performance: A Case of Ethiopian Public Construction Projects

  • Sinesilassie, Ephrem Girma;Tabish, Syed Zafar Shahid;Jha, Kumar Neeraj
    • Journal of Construction Engineering and Project Management
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    • v.6 no.4
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    • pp.24-34
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    • 2016
  • Disputes seem to be synonymous with large-scale construction projects in Ethiopia. The purpose of this study is to determine the factors responsible for impacting the performance of Ethiopian public construction projects. To this end, 35 success and failure attributes responsible for impacting the performance of the projects were identified and presented to Ethiopian construction professionals in the form of a structured questionnaire, and responses were collected. The factor analysis conducted on the success and failure attributes influencing no-dispute performance separately resulted in six success factors and five failure factors. Further analysis using stepwise multiple regression indicates that owner competence and interaction among project participants have a positive impact on no-dispute performance. However, conflict among project participants has a negative impact on the no-dispute performance of Ethiopian public construction projects. Although Ethiopia-specific, the results reflect construction management problems common to both developed and developing countries. The findings are expected to help researchers and practitioners gain a better understanding of critical success and failure factors and to help them take proactive measures to avoid disputes in public construction projects.

CLINICAL STUDY ON SUCCESS RATE OF TG OSSEOTITE IMPLANT (TG Osseotite 임플란트의 성공률에 대한 임상적 연구)

  • Oh, Sung-Hwan;Min, Seung-Ki;Chae, Young-Won
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.27 no.1
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    • pp.39-47
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    • 2005
  • The purpose of this study is to review the prognosis of the TG Osseotite implant(3i Co, USA) placed in partial edentulous area of oral cavity and to suspect the possible causes leading to failure. 124 TG Osseotite implants that had been inserted between 2000 - 2002 were followed up for 2 years(avg : 9.5 months) in function. Medical records, and radiographs were evaluated and analyzed by the over all success rate, gender and age factor, general disease, implant fixture length and diameter, implant site, bone density, and various surgical methods. Chi square test was used statistically. Of the 124 TG Osseotite implants, 9 implants(7.3%) were removed in early phase and 3 implants(2.4%) were in late phase. The cumulative survival rate was 90.2%. The failure of the TG Osseotite implant was closely related with the use of bone graft techniques such as sinus elevation or immediate implantation and not with the age, sex, general disease, implant site, bone density of implanted site. The failure of the TG Osseotite implant was well developed when it was the wide type of implant and it was inserted for single tooth replacement. The developement of peri-implantitis was the most important factor in the failure of the TG Osseotite implant.

A Study on the Disturbing Factors in University's Hospital Reengineering Project (한 대학병원 종사자들이 인지하는 병원경영혁신의 장애 요인)

  • Nam, Eun-Woo;Van, Myeong-Kyu
    • Korea Journal of Hospital Management
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    • v.1 no.1
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    • pp.136-153
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    • 1996
  • The purpose of this study is to identify the factors hindering hospital reengineering project in one university hospital. The data was collected by the self-administered Questionnaire to 288 members of the hospital in Pusan on April 5-18, 1996. This study took some statistical methodologies, such as descriptive analysis, factor analysis and logit model analysis. The results were as follows; First, in the descriptive analysis for whether the hospital reengineering named RUSH94 was a success or not, the subjects judged that it was not successful and regarded their fable mutual communication as the main factor. Second, in the reason of failure at the reengineering project, the group who thought that the failure factor was the lack of mutual consensus checked the scores of the first factor produced from the factor analysis.

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Prediction of Food Franchise Success and Failure Based on Machine Learning (머신러닝 기반 외식업 프랜차이즈 가맹점 성패 예측)

  • Ahn, Yelyn;Ryu, Sungmin;Lee, Hyunhee;Park, Minseo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.347-353
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    • 2022
  • In the restaurant industry, start-ups are active due to high demand from consumers and low entry barriers. However, the restaurant industry has a high closure rate, and in the case of franchises, there is a large deviation in sales within the same brand. Thus, research is needed to prevent the closure of food franchises. Therefore, this study examines the factors affecting franchise sales and uses machine learning techniques to predict the success and failure of franchises. Various factors that affect franchise sales are extracted by using Point of Sale (PoS) data of food franchise and public data in Gangnam-gu, Seoul. And for more valid variable selection, multicollinearity is removed by using Variance Inflation Factor (VIF). Finally, classification models are used to predict the success and failure of food franchise stores. Through this method, we propose success and failure prediction model for food franchise stores with the accuracy of 0.92.

Factors Affecting the Success of IT Service Venture Firms (IT서비스 벤처기업 성공에 영향을 미치는 요인)

  • An, Won Young;Oh, Jay In
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.47-64
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    • 2017
  • Three years after establishment, companies are said to face a period of risk called the "valley of death." To start a venture company and make it sustainable, the chance of failure must be minimized. According to an in-depth assessment report on special taxation in 2015, the one-year survival rate of Korean companies was about 60 percent and the five-year survival rate about 30%. These rates are low compared to those of major OECD member countries. Worse, such rates in Korea are decreasing year by year. The purpose of this study is to classify the success factors behind venture companies into human capital, social capital and financial capital, and verify through empirical analysis the factors influencing the success of venture companies based on the mediating roles of capability of the startup team and that for innovation. To find the success factors behind venture companies, this study first examined the theories derived from previous studies. SPSS 21 was used as the study method, while descriptive statistics, exploratory factor analysis and CMB test were conducted. In addition, SmartPLS 2 was used for confirmatory factor analysis, hypothesis test, mediation effect. The results of this study can help efforts toward job creation and economic revitalization pursued by the creative economy policy of the incumbent Korean administration. They can also be used as the cornerstone for venture companies in their pursuit of success.

Development of Measurement Tools for Success and Failure Factors of Education and Training of Korean Bodyguard

  • Kim, Sang-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.199-206
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    • 2020
  • This study was conducted for the purpose of developing a measurement tool for success and failure factors of education and training of Korean bodyguards. conducted a meeting from the fully open questionnaire at first, and then formed the semi-structured questionnaire, finally carried out the survey from the closed questionnaire and analyzed data from SPSS 21.0, AMOS 21.0 and developed the measurements. It was conducted from May, 2019 to December, 2019. This survey was conducted of 150 security guards after the verification of the content validity though the pilot survey and presented the success attribution factors and standards on the basis of the result form this survey. As a result, the success factors of the training of the bodyguards were accidental education (5 item), vocational mental education (2 item), vocational mental education (2 item), work ability enhancement education (2 item), realistic practical education (2 item) ), Including 4 items, 11 items, The failure factors consisted of 12 item of three factors: formal education and training (5 item), lack of leadership qualities (4 item), and lack of education (3 item).