• Title/Summary/Keyword: Analysis of procurement information

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Forms of Inter-organizational Relationships, Patterns of Inter-organizational Information Flow, and Relevant E-commerce Strategies (조직간 관계 유형별 정보교류 행태와 적합한 전자상거래 전략)

  • Choe, Jong-Min
    • The Journal of Information Systems
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    • v.24 no.2
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    • pp.97-116
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    • 2015
  • Purpose This study suggested the four forms of inter-organizational relationships(IORs): partnerships, inter-dependence relationship, trust relationship, and market relationship. The purposes of this study include the demonstration of four forms of IORs and the investigation of the relationships among forms of IORs, inter-organizational information flow(IOIF), kinds of e-commerce strategies, and the supply-chain performance of a firm. Design/methodology/approach The empirical data were collected through post-survey. 92 survey data were collected. With a cluster analysis, we confirmed four types of IORs, and the relationships among critical variables. Findings The results of cluster analysis showed that according to the types of IORs, the frequency and quality of IOIF are different. Appropriate kinds of e-commerce strategies were examined under the each types of IORs, which cause specific patterns of IOIF. It was found that the adoption of e-procurement strategy can improve the supply-chain performance of a firm in trust relationship. It was also observed that under partnerships, the use of e-partnerships strategy can contribute to the improvement of supply-chain performance.

Cost Performance Evaluation Framework through Analysis of Unstructured Construction Supervision Documents using Binomial Logistic Regression (비정형 공사감리문서 정보와 이항 로지스틱 회귀분석을 이용한 건축 현장 비용성과 평가 프레임워크 개발)

  • Kim, Chang-Won;Song, Taegeun;Lee, Kiseok;Yoo, Wi Sung
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.1
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    • pp.121-131
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    • 2024
  • This research explores the potential of leveraging unstructured data from construction supervision documents, which contain detailed inspection insights from independent third-party monitors of building construction processes. With the evolution of analytical methodologies, such unstructured data has been recognized as a valuable source of information, offering diverse insights. The study introduces a framework designed to assess cost performance by applying advanced analytical methods to the unstructured data found in final construction supervision reports. Specifically, key phrases were identified using text mining and social network analysis techniques, and these phrases were then analyzed through binomial logistic regression to assess cost performance. The study found that predictions of cost performance based on unstructured data from supervision documents achieved an accuracy rate of approximately 73%. The findings of this research are anticipated to serve as a foundational resource for analyzing various forms of unstructured data generated within the construction sector in future projects.

Defensive Behaviors of IT Purchasing-Related Stakeholders (IT 구매 이해관계자들의 방어적 행동에 관한 연구)

  • Kim, Sung Kun;Ahn, Namkyu
    • Journal of Information Technology Applications and Management
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    • v.26 no.2
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    • pp.89-110
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    • 2019
  • Information technology is an effective means for raising firm competitiveness. In fact, what to purchase or how to purchase it must fall under a highly complex decision-making in which many different stakeholders are involved. These stakeholders are often known to take a defensive behavior. That is, instead of working toward a common goal of organizational performance, each individual of these stakeholders tends to act defensively to avoid risks he/she faces or minimize subsequent changes. Despite a frequent occurrence of defensive behavior in the process of IT purchasing, there has been no research about defensiveness in IT purchasing. Our study aims to elicit different types of defensive behavior in IT purchasing situations and to identify causes of these defensive behaviors. To this end, we surveyed IT professionals having much experience in IT purchasing and took a qualitative analysis on their opinions. We found out that there exist 9 different types of defensive behavior in IT purchasing and identified a set of factors causing the defensiveness and a set of their consequences.

Fundamental Investigation of Knowledge Management System for a Plant

  • Seo-kyung Won;Ji-Yune Soh;Junbok Lee ;Choong-hee Han
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.375-380
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    • 2009
  • Gas & Oil plant construction projects are increasing recently all over oil-producing countries. An EPC (Engineering, Procurement and Construction) company, which participates in the plant projects, should possess pertinent engineering licenses and EPC management skills to create high added-value. Nonetheless, there exist various risks involved in the EPC life cycle process due to such characteristics of construction projects as long duration of construction time and complicated processes along with the procured goods or services subjected to various logistics. The objective of this paper is to analyze the overall EPC life cycle for proper process and to examine various information and document. Additionally, the principal data for the analysis of the EPC process are derived from personal interviews with experts and specialty contractors of the plant projects. The results of this study would be widely used as a guide for efficient and effective management of overseas gas plant projects.

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Analysis of Approaches of Integrating e-Marketplace with ERP in B2B EC (B2B EC에서의 전자시장과 ERP의 통합 접근방식 분석)

  • Lim, Gyoo-Gun
    • Journal of Information Technology Services
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    • v.2 no.1
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    • pp.75-83
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    • 2003
  • Among EC areas. the B2B EC market is being spotlighted as an important interesting research area considering its size and the potential impact on companeies and the whole society. In comparison with private consumers in B2C EC. business buyers in B2B EC have to precisely keep track of the purchase records. and integrate them with the buyer's e-procurement system, which might have been implemented as a part of integrated ERP (Enterprise Resource Planning) systems. There are three approaches for such integration between ERP and e-marketplace in B2B EC; Two previous approaches are Inside-Out approach and Outside-In approach. And a newly, one is b-cart approach. In this paper, we try to survey these three approaches and make a comparison analysis. From this research. we identify that the b-cart approach is the most efficient framework in integrating ERP with e-marketplace in B2B EC.

A Method of Information Management for BIM Based Building Permission (BIM기반 건축물 인허가 신청을 위한 정보 관리방안)

  • Yeo, ChangJae;Kim, Karam;Kim, Gutak;Yu, JungHo
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.242-251
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    • 2016
  • Around the world, BIM application has been mandated. In Korea, an announcement was made in 2016 that BIM application will be required for all public constructions ordered by the Public Procurement Service. However, BIM cannot be used for building permits as Seumter, a building permit system, doesn't support BIM, even if it was used for building design. To utilize BIM for permit application, this study introduces a method of management for BIM-used permit application information. It was done by analyzing the data entered for new building permit application in Seumter. For the analysis, the permit application information is classified as internal BIM information and external BIM information and the required information is defined. To easily create and utilize the data types at the design stage, this study introduces a method of creating and utilizing a permit template. Also, this study developed a tool for combining the area information to add up all the related information such as gross floor area and floor area ratio. This study is significant in that it analyzes the required information for new building permit application among all the permit application types in Korea.

An Analysis of IT Trends Using Tweet Data (트윗 데이터를 활용한 IT 트렌드 분석)

  • Yi, Jin Baek;Lee, Choong Kwon;Cha, Kyung Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.1
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    • pp.143-159
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    • 2015
  • Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

IPDE(Integrated Product Data Environment) Implementation Method for the Application of Naval Ship PLM(Product Lifecycle Management) (함정 수명주기관리시스템(PLM) 구축을 위한 통합 자료환경(IPDE) 구현 방안)

  • Jeong, Yeon-Hwan;Lew, Jae-Moon
    • Journal of the Society of Naval Architects of Korea
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    • v.42 no.6 s.144
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    • pp.698-709
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    • 2005
  • This research analyzes the design work and construction work, which might be arising out of or during the procurement process of naval ships of the Korean Navy. This research also suggests the applicable information methodology driven out by utilizing PLM/POM tool, which could be one of practical solutions to the problems arising from the outcome of this analysis. As to the procedure and methodology of information technology of design and construction work of the ship, IPPD was adopted. Before its actual application, main contents of the IPPD were introduced in this research. And it's real application and subsequent concrete surroundings of IPDE were defined. In addition, addition, several detailed and necessary works to be fulfilled were defined, mainly focused on the application of IPDD for the design and construction stages of the ships suitable for the Korean Navy, And also, this analysis defines the main functions to be secured by adopting the PLM/POM tool and obtained the relevant functions partially herewith.

A Study on FMEA Analysis Method for Fault Diagnosis and Predictive Maintenance of the Railway Systems (철도시스템 이상진단 및 예지정비를 위한 FMEA 분석 방안 연구)

  • Wang Seok Oh;Kyeong Hwa Kim;Jaehoon Kim
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.43-50
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    • 2023
  • With the advent of industrialization, consumers and end-users demand more reliable products. Meeting these demands requires a comprehensive approach, involving tasks such as market information collection, planning, reliable raw material procurement, accurate reliability design, and prediction, including various reliability tests. Moreover, this encompasses aspects like reliability management during manufacturing, operational maintenance, and systematic failure information collection, interpretation, and feedback. Improving product reliability requires prioritizing it from the initial development stage. Failure mode and effect analysis (FMEA) is a widely used method to increase product reliability. In this study, we reanalyzed using the FMEA method and proposed an improved method. Domestic railways lack an accurate measurement method or system for maintenance, so maintenance decisions rely on the opinions of experienced personnel, based on their experience with past faults. However, the current selection method is flawed as it relies on human experience and memory capacity, which are limited and ineffective. Therefore, in this study, we further specify qualitative contents to systematically accumulate failure modes based on the Failure Modes Table and create a standardized form based on the Master FMEA form to newly systematize it.

Establishment of BIM-LCC Analysis System for Selecting Optimal Design Alternative using Open KBIMS Libraries (개방형 KBIMS 라이브러리를 활용한 최적설계대안 선정을 위한 BIM-LCC분석 시스템 구축)

  • Lee, Chun-Kyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.153-161
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    • 2020
  • Building information modeling (BIM) is a smart construction technique that is recognized as essential for current construction facility projects. The Public Procurement Service (a construction project-ordering agency) announced a plan to introduce BIM and has required changing the operation of projects by using BIM design information. LCC analysis is essential for items, quantity, and cost information of the construction, and it is expected that efficient work will be achieved by using BIM design information. In this study, a BIM-LCC analysis system was established for selecting optimal design alternatives by actively using open KBIMS libraries. The BIM-LCC analysis system consists of a single alternative and an optimal alternative LCC analysis, but it has a limitation in that only the architecture and machine libraries have been applied. However, by applying BIM, practical use and work efficiency can be expected. In order to use the method as an LCC analysis support tool with BIM design information in the future, it will be necessary to collect user opinions and improve the UI.