• Asia pacific journal of information systems
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• v.26 no.1
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• pp.109-123
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• 2016

The success of a crowd-funding project can be attributed to various reasons, among which, backer's (also known as 'investor', or 'funder') perception of project credibility may be a salient one. The purpose of this study is to investigate the extent to which perceived project credibility can affect a backer's investment decision. We examine the factors that could influence the building of perceived project credibility by testing the proposed research model using survey data. Analysis results indicate that perceived project credibility has a significantly positive effect on backer's investment intention. Furthermore, information quality and source credibility are two key determinants of perceived project credibility. This study contributes to crowd-funding literature by enriching the list of successful factors for fund-raising with project credibility. The study also has practical implications because it explains why and how a backer's perception of project credibility can be improved.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.32-34
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• 2007

The global market for mobile phone business is already matured. Accordingly， the repurchasing issue for the mobile phone is being weighted drastically by the marketers. The purpose of this research is to investigate the relationships among seven crucial factors, and also examines the differences between Korean and Indonesian markets concerning the relationships of these key success factors. This research classifies these two markets as a matured market and an emerging market respectively. The structural model is tested with the data from each of the sub-samples. The analysis of the multi-group structural equation model (MSEM) showed that compared to Korean, Indonesian had more emphasized on extra-functions for the mobile phone as well as giving more influence on satisfaction from brand image. Due to the different market situation and users, the lessons to which product features must be more emphasized could be obtained for the product managers in the industry.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.1-6
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• 2012

This paper aims to suggest a validity analysis model that would be helpful for local governments considering u-City construction projects and a methodology for them to promote build-transfer-lease (BTL) u-City projects. This methodology mainly uses quantitative and qualitative analysis based on the Value For Money (VFM) designed by the Public and Private Infrastructure Investment Management Center (PIMAC) under the Korea Development Institute (KDI). BTL projects requires a large amount of capital and involves long-term investments. Therefore, multi-faceted validity analysis is required for the success of a project. This study will enumerate various factors to be considered in the pre-analysis of validity of BTL projects and suggest a methodology to verify them. A case study of a BTL project promoted by Ansan City assisted in designing this study in detail.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.769-774
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• 2011

This study aimed at finding the factors impacting customer satisfaction (CS) for conversion farm with $2^{nd}$ and $3^{rd}$ industry, because the most important thing in the conversion farm is enhancing customer satisfaction. The data on CS from 173 pumpkin farm's customers by on-line survey were gathered. The analysis using structural equation model with Amos was carried out. Product, service and purchasing were determined as 3 factors impacting to CS. The result showed that purchasing is the biggiest contributor to CS. It means the customers using on-ine market are very sensitive to farm's brand and logistics. It is also found that conversion with processing and farm experience activity is definitely affecting to building customer's trust. In conclusion, making efforts on enhancing CS in conversion farm is the key to success.

• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.45-54
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• 2003

Enterprise Resource Planning(ERP) systems offer pervasive business functionality the applications encompass virtually all aspects of the business. Understanding and managing this pervasiveness will result in a successful and productive business application platform. Because of this pervasiveness, implementations have ranged from great successes to complete failures. This article has two distinctive parts. The first proposes and discusses a systematic process based on consulting experiences of LG CNS (leading information system company in Korea) for ERP selection. Also, the second provides the key factors that are critical to the successful implementation of ERP. The second part reports the results of a study carried out to assess a number of different ERP implementations in different organizations. A case study method of investigation was used, and the experiences of five Korean manufacturing companies were documented. The critical factors in the adoption of ERP are identified as: learning from the experiences of others, appointment of a process innovator, establishment of committees and project teams, training and technical support for the users, and appropriate changes to the organizational structure and managerial responsibilities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.151-152
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• 2021

The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.381-389
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• 2017

Recently, due to the continuous changes in the business environment and increased competition, enterprises are introducing technology management to increase their value and enhance their competitiveness. In this study, based on the structural equations model, we investigated the effects of the core success factors of knowledge management on job fidelity and organizational performance and the mediating effects of organizational learning. In addition, organizational culture and information technology and process were assumed to be the key factors affecting knowledge management, and organizational learning was represented by experimental learning, indirect learning, and shared learning. As a result, it was found that knowledge management positively affects business fidelity and organizational performance and, even when it is mediated by organizational learning, it positively affects business fidelity and organization performance directly or indirectly. Therefore, we were able to confirm the importance of utilizing knowledge management in companies and to suggest an appropriate application scope for applying knowledge management and organizational learning.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.13-28
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• 2021

The purpose of this study is to demonstrate the causal relationship between exhibition acceptance through the quality factors of Internet of Things (IoT) exhibition services and ease and usefulness of technology acceptance factors for domestic exhibition visitors. Through this, the company intends to present effective and efficient development plans in the IoT exhibition industry. Therefore, we present a research model that applies DeLone & McLean's quality factors to key variables in the information system success model and ease and usefulness in the Technology Acceptance Model (TAM). A survey was conducted on ordinary people with experience using the Internet of Water (IoT) exhibition service. The survey was conducted for two weeks from July 15 to August 20, 2021. A total of 276 surveys were used for data analysis during this period. The hypothesis results related to the information system success model of the Internet of Things (IoT) exhibition show that, first, system quality had no significant effect on usefulness, but significantly on ease. Second, information quality has been shown to have a significant effect on usability and ease. Third, service quality has been shown to have a significant impact on usability and ease. Fourth, usefulness has been shown to have a significant effect on exhibition acceptance. Fifth, ease has been shown to have a significant effect on usability. Sixth, ease was shown to have a significant effect on exhibition acceptance.

• Journal of Contemporary Eastern Asia
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• v.16 no.2
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• pp.3-19
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• 2017

"Knowledge worker" is a term used to describe highly educated people whose role in the workforce involves the use of information and knowledge. Knowledge workers are key to the success of a great many organizations. Many Chinese companies find that the voluntary turnover rate among their knowledge workers is high. The purpose of this paper is to explore, from the perspective of knowledge workers and the characteristics peculiar to them, the factors that influence this high voluntary turnover rate. The models used in this paper, that will enable understanding of the characteristics of knowledge workers in China, are the Chinese Personality Assessment Inventory and the Five Factors Model. In the case of Huawei, analysis using these models leads to the conclusion that the main factors that influence the voluntary turnover of knowledge workers in China are: age; gender; degree of extraversion and how open the person is to new experiences; family orientation; and occupation. This study leads to the conclusion that the company should pay closer attention to three groups: female employees who put a high value on their families; employees from non-R&D departments; and younger employees who show a high degree of openness to new experiences.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1251-1258
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• 2007

Recently, the needs fur management innovation of universities are growing. Therefore, introduction of Balanced Scorecard(BSC) for measuring performance has been considered as a way of management innovation. However, the introduction of BSC does not always become successful, and sometimes act as an obstacle to innovative activities. This study was designed to conduct pre-evaluation for J University well in advance of its BSC introduction to solve problems with the introduction and prove the importance of pre-evaluation to make BSC introduction a success. Methodologically, the study explored key factors of successful introduction of BSC by examining previous studies, and conducted a comparative analysis of such key factors, focusing on J University. To evaluate factor-specific results in a more practical way, weighted value analysis on factors was conducted by experts so as to investigate how many factors J University can meet fur the introduction of BSC. As a result, the outcome of the pre-evaluation before J University introduces the BSC was generated, and the study aimed to suggest such empirical analysis as a method of pre-evaluation of the BSC introduction.