• Title/Summary/Keyword: Project Knowledge Capture

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Influencing Factors on the Acceptance of Blockchain Technology in Capturing and Sharing Project Knowledge: A Grounded Theory Study

  • Bardesy, Waseem S.;Alsereihy, Hassan A.
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.262-270
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    • 2022
  • In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.

ONTOLOGY BASED KNOWLEDGE RETRIEVAL IN CONSTRUCTION PROJECTS: FOCUSED ON THE CONSTRUCTION PROCESS

  • Kyung-won Lee;Moonseo Park;Hyunsoo Lee;Soonseok Kwon
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.949-955
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    • 2009
  • Managing knowledge effectively is a critical factor for the competitive power of a company. There are efforts to use knowledge as an important resource in many industrial areas and likewise the interest in knowledge management is growing in the construction industry. Nevertheless, there are limitations in the current capture and reuse of knowledge in the construction industry owing to the unique characteristics of the knowledge created during the processes of projects. The knowledge produced during the processes of construction projects is project-oriented, experiential and context specific and due to these characteristics the reuse of knowledge is difficult. In this research, we focus on capturing and identifying the characteristics of construction knowledge and propose a method to apply these characteristics in developing an ontology based construction knowledge retrieval system to improve construction knowledge retrieval and enhance knowledge reuse.

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MODELLING THE CONTRIBUTION OF KNOWLEDGE MANAGEMENT TOWARDS ACHIEVING ORGANISATIONAL BUSINESS OBJECTIVES

  • Le Chen;Sherif Mohamed
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.714-718
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    • 2005
  • Knowledge management (KM) continues to receive mounting interest within the construction industry due to its potential to offer solutions for organisations seeking competitive advantage. This paper presents a KM input-process-output conceptual model comprising unique and well-defined theoretical constructs representing KM practices and their internal and external determinants in the context of construction. The paper also presents the underlying principles used in operationally defining each construct using extant KM literature, and offers a number of testable hypotheses that capture the inter-relationships between the identified constructs.

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Development of Decision-Support Algorithms to Select RP Process and Machine (쾌속조형 공정 및 장비 선정을 위한 의사결정지원 알고리즘 개발)

  • 최병욱;정일용;이일랑;김태범;금영탁
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.22-25
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    • 2003
  • It is usually difficult for a single user to have all the essential knowledge on various Rapid Prototyping processes and techniques. It is therefore necessary to capture knowledge and experience of users of expert level into a decision-support system which provides quicker and more interactive way to select proper RP process and/or machine. rather than reading reports on benchmarking studies and comparing tables and graphs. In this paper two algorithms are presented, which may be used in such a decision-support system. together with its applications. The one is an extended PRES(Project Evaluation and Selection) algorithm which applies weighting factors of each attribute. The other is a LCE(Linear Confidence Equation) algorithm which is proposed to apply user's input requirements as well as weighting factors.

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Integration of System Design and Management Data Using CASE Tool (시스템공화 전산지원도구를 이용한 시스템 설계 및 관리 데이터의 통합)

  • Lee, Woo-Dong
    • Proceedings of the KIEE Conference
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    • 2006.07b
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    • pp.1097-1098
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    • 2006
  • This study investigated the needs and effectiveness of the application of Computer-Aided Systems Engineering Tool in order to enhance the chance of success of the large and complex system development projects like City Train System. Furthermore, it was shown that the merits of Systems Engineering and Project Management must be complementary to each other in their interaction in a project. Especially, for the project plans must be executed based on the fully understood system being developed, the technical and management data of the system development need be integrated and be able to support exact and rapid decision making of project planning. As an alternative solution approach, a model for development knowledge capture integrating both technical and management data of system development was proposed using Computer Aided Systems Engineering tool-Cradle.

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Potential of an Interactive Metaverse Platform for Safety Education in Construction

  • Yoo, Taehan;Lee, Dongmin;Yang, Jaehoon;Kim, Dohyung;Lee, Doyeop;Park, Chansik
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.516-524
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    • 2022
  • The construction industry is considered the most hazardous industry globally. Therefore, safety education is crucial for raising the safety awareness of construction workers working at construction sites and creating a safe working environment. However, the current safety education method and tools cannot provide trainees with realistic and practical experiences that might help better safety awareness in practice. A metaverse, a real-time network of 3D virtual worlds focused on social connection, was created for more interactive communication, collaboration, and coordination between users. Several previous studies have noted that the metaverse has excellent potential for improved safety education performance, but its required functions and practical applications have not been thoroughly researched. In order to fill the research gap, this paper reviewed the potential benefits of a metaverse based on the current research and suggested its application for safety education purposes. This paper scrutinized the metaverse's key functions, particularly its information and knowledge sharing function and reality capture function. Then, the authors created a metaverse prototype based on the two key functions described above. The main contribution of this paper is reviewing the potential benefits of a metaverse for safety education. A realistic and feasible metaverse platform should be developed in future studies, and its impact on safety education should be quantitatively verified.

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3D Online Marshmallow Simulation Game for Target Value Design

  • Kim, Suryeon;Mainardi, Pete;Jeong, H. David;Rybkowski, Zofia;Seo, Jinsil Hwaryoung
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.661-668
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    • 2022
  • Various lean design and construction methods such as target value design, pull planning, value stream mapping have successfully transformed the commercial building construction industry into achieving improved productivity, higher design and construction quality, and meeting the target values of construction projects. Considering the significant advantages of lean, the accelerated dissemination and adoption of lean methods and tools for construction is highly desirable. Currently, the lean design and construction body of knowledge is imparted primarily through publications and conferences. However, one of the most effective ways to impart this soft knowledge is through getting students and trainees involved in hands-on participatory games, which can quickly help them truly understand the concept and apply it to real-world problems. The COVID-19 Pandemic has raised an urgent need of developing virtual games that can be played simultaneously from various locations over the Internet, but these virtual games should be as effective as in-person games. This research develops an online 3D simulation game for Target Value Design that is as effective as in-person games or possibly better in terms of knowledge capture and retention and enjoyable environment and experience. The virtual game is tested on volunteers using feedback from pre-and post- simulation surveys to evaluate its efficacy.

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A Development of Internet-based Image Management System for Collection of Construction Knowledge (건설 현장지식 수집을 위한 인터넷기반의 이미지관리 시스템 개발)

  • Chin Sangyoon;Shin Tae-Hong;Shin Dongwoo
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.129-136
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    • 2001
  • Advances in new information technology enable practitioners at construction sites to capture image information on overall sites and various work results through digital cameras. Also more and more government agencies and clients are accepting construction site information in a digital format. This research developed an Internet-based construction image information management system for effective construction management and sharing information among project participants. This system named CiMS provides a way to store/search/share site image information by representing the information through the combination of work items, work areas, performing companies, captured dates and purposes. CiMS has been applied in a real construction project for system refinement and verification. It is expected that CiMS can improve the construction site photo management paradigm, and the contents of CiMS can be incorporated into the corporate knowledge database.

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Automated Phase Identification in Shingle Installation Operation Using Machine Learning

  • Dutta, Amrita;Breloff, Scott P.;Dai, Fei;Sinsel, Erik W.;Warren, Christopher M.;Wu, John Z.
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.728-735
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    • 2022
  • Roofers get exposed to increased risk of knee musculoskeletal disorders (MSDs) at different phases of a sloped shingle installation task. As different phases are associated with different risk levels, this study explored the application of machine learning for automated classification of seven phases in a shingle installation task using knee kinematics and roof slope information. An optical motion capture system was used to collect knee kinematics data from nine subjects who mimicked shingle installation on a slope-adjustable wooden platform. Four features were used in building a phase classification model. They were three knee joint rotation angles (i.e., flexion, abduction-adduction, and internal-external rotation) of the subjects, and the roof slope at which they operated. Three ensemble machine learning algorithms (i.e., random forests, decision trees, and k-nearest neighbors) were used for training and prediction. The simulations indicate that the k-nearest neighbor classifier provided the best performance, with an overall accuracy of 92.62%, demonstrating the considerable potential of machine learning methods in detecting shingle installation phases from workers knee joint rotation and roof slope information. This knowledge, with further investigation, may facilitate knee MSD risk identification among roofers and intervention development.

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A Case Study on the Construction of Cyber Textbook Museum Database (사이버교과서박물관 데이터베이스 구축에 관한 사례 연구)

  • Kim, Eun-Ju;Lee, Myeong-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.4
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    • pp.67-84
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    • 2009
  • Cyber Textbook Museum is created by the Korean Educational Development Institute in part of the project to manage the knowledge and information of Korea to promote understanding of Korean education and its history. The original and full text of textbooks dating from the 1890s to the present have been digitized and arranged for easy access over internet. An exclusive portal site dealing with Korean textbooks and curriculum materials was made to provide not only the directory service of textbooks and curriculums in diverse data classifications, school levels, years/periods and subjects but also the keyword search by searching engine. Users can search the necessary materials easily and systematically over the screen and use all the functions except save, capture and print. The management system for textbook image(DjVu format), search system and DRM(Digital Rights Management) system were developed. Finally, four suggestions are proposed which are related in the aspects of policy, technical, systematic aspects for active and tremendous use of the site.