• Title/Summary/Keyword: Project management impact

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The Impact of Project Governance Factors on IT Project Objectives Performance (프로젝트 거버넌스의 구성요인들이 IT 프로젝트 목표 성과에 미치는 영향)

  • Jung-Soo Kim;Seung-Chul Kim;Hee Kyung Kim;Chang Won Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.241-250
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    • 2023
  • Companies are paying attention to project governance to realize their goal strategies, project success, and project value in a rapid and complex environment due to the development of information technology. This study aims to explore project governance and factors from literature review and practice guides related to project governance and empirically analyze the impact of project governance factors on IT project objective performance. The survey was conducted on project managers, project team members, and project management members with experience in carrying out business IT projects within two years at companies in various industries in Korea. The main conclusion is as follows. Among the project governance factors, disclosure and reporting that uses and reports using appropriate and reliable information about projects related to decision-making activities positively impact the achievement of IT project objectives: business success and stakeholder satisfaction. Among the project governance factors, project sponsorship, a role that effectively connects management and projects, and a project management framework that provides tools, procedures, resources, and techniques for projects positively impact IT project objective performance. This study is of academic and practical significance in that it identifies the definition and factors of project governance through companies in various industries in Korea and the positive impact of project governance factors on IT project objective performance.

Risk Analysis on Offshore Windfarm Industry in South Korea: Based on the Jeonnam Offshore Windfarm Project

  • Kim, Tae Hyun;Kim, Yea-Sang;Chin, Sangyoon;Pallesen, Kristian
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.204-212
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    • 2022
  • Recently, the Korean government has been actively promoting the smart city as their strategic agenda. However, to build smart cities that are greener, the authors believe it is essential to rapidly transit conventional energy sources such as fossil fuels to renewable energy. Although there is a big potential for Offshore wind in Korea, there has not been a full-scale commercial offshore wind farm until today. Since Korea is relatively a new market compared to the EU, it can be risky for developers. The authors will introduce risk management best practices in the offshore wind industry applicable to the Korean environment. This paper will mainly introduce an offshore wind project size of 99 MW. The project is expecting a Finance Close (FC) in Q3 2022, so the project team has prepared a risk register with over 150 risks and levers throughout the project lifecycle. Overall risks include risks with Development Expenditure (DEVEX) impact, a Capital Expenditure (CAPEX) impact, and an Operating Expenditure (OPEX) impact. Based on the identified risks, a more qualitative assessment of Cost and Schedule Impact was conducted. In conclusion, a Monte Carlo simulation was performed to propose a quantitative risk assessment to evaluate a benchmark contingency of the project cost.

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A Study on the Analysis of the Importance of Natural Landscape by the Development Project (개발사업에 의한 자연경관 영향 저감방안 중요도 분석에 관한 연구)

  • Shin, Min-Ji;Shin, Ji-Hoon
    • Journal of Korean Society of Rural Planning
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    • v.25 no.2
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    • pp.99-117
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    • 2019
  • Environmental impact assessment (EIA), which predicts, evaluates, and manages the influences on natural landscape, plays a role of monitoring natural resources for systematic management of natural landscape. However, the function of verification and correction of the system is still insufficient and feed-back, one of the most important features of EIA follow-up, has not been introduced in Korea's EIA system yet. As a procedure, it is required to check if the opinions of the evaluators are properly reflected to the outcomes of the project through a reviewing process after assessing environmental impacts of a development project. In reality, despite the awareness about the importance of follow-up inspection of the conformity with, the system mainly focuses on the agreement during the planning stage of the development project and fails to continuously manage after its completion. There have been various preceding studies related to prediction, evaluation, and management of environmental impacts on natural landscape for better management. They primarily dealt with the problems in the EIA process and suggested improvement measures, including directions for institutional development, step-by-step goals, and operation methods, to address the problems which arise in the EIA follow-up process. However, suggested measures are not actively applied with the focus only put on institutional operation, there are virtually no standardized methods to predict and assess landscape changes due to the development project and to manage landscape after the project. Against this backdrop, this study aims to explore the existing methods to analyze the impacts natural landscape and to establish a system where landscape management is continued after the development project. To this end, we will suggest reducing methods according to the predicted changes in landscape for post-project management of natural landscape. Characteristics of reduction methods by project type were examined through reviewing the guide to natural landscape rating and the importance of development project impacts on natural landscape by type of reduction was evaluated through questionnaire for experts. Evaluated types of reduction are classified and presented by characteristics of each development project and content of reduction type.

Management in the EPC Business for Overseas Power Plant Projects (해외 발전플랜트 EPC 사업의 리스크 분석 및 관리방안)

  • Park, Euiseung;Yoo, Hoseon;Lee, Jae-Heon
    • Plant Journal
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    • v.7 no.3
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    • pp.48-64
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    • 2011
  • In this work, risks in EPC project for overseas power plant projects are analyzed and risk management methods are suggested to reduce cost and to shorten time. 79% of risks occurred in the engineering phase for S project located in South-East Asia. The impact scales of risks on major project objectives which are cost, time, scope, and quality are analyzed as 3.5, 3.8, 2.7, and 3.7, respectively. The level of impact scales is very similar to each other except the impact scale of scope. The risk management methods suggested in this study have to be applied at the appropriate time to manage risks effectively. After that, risks are managed continuously by monitoring.

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External Factors Influencing Bid/No-Bid Decision for Supervision Consultant Service: A Case of Construction Project in Hanoi

  • HA, Son Tung;TRAN, Manh Linh;HOANG, Huy Viet;TRAN, Van Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.417-425
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    • 2020
  • This paper investigates the potential impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the capital of Vietnam. The data used in this study are secondary data taken from annual reports and sourced from the Department of Public Procurement, Ministry of Planning and Investment in Hanoi. Besides, to identify the impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the study collected data from 272 qualified questionnaires from bidders doing business in Hanoi. Cronbach's Alpha, EFA and regression model are used to explore the impact of each independent variable on bid/no-bid decision for supervision consultant service on construction project. The results show that three external determinants, including Project characteristic (PC), Legal codes (LC) and Competition (C) are affecting bid/no-bid decision for supervision consultant service on construction project in Hanoi. Among them, Project characteristic (PC) and Legal codes (LC) have positive relationships with bid/no-bid decision for supervision consultant service on construction project, whereas Competition (C) negatively affects bid/no-bid decision for supervision consultant service on construction project. It means the more contractors actually participate in a bid, the less bid/ no-bid decisions are made.

PROJECT MANAGEMENT STRATEGY FOR SUSTAINABLE INTEGRATION OF STADIUMS

  • Sven Schmedes
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.269-272
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    • 2011
  • The impact of a new stadium on the urban context and regional development is significant. Especially where several new stadiums are built for single mega events like the Olympic Games, Commonwealth Games or the Soccer World Cup the impact is even higher. Objective of this paper is to identify and analyze the key drivers for sustainable integration of stadiums within the existing context. The level of sustainability is analyzed based on four different categories: urban, social, environmental and economics. Particular focus is on the project management strategy for implementation of the key drivers during pre-design, design and execution. In conclusion key elements of the project management strategy for sustainable integration of a stadium within the urban, environmental, social and economic context are summarized.

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Construction Company TQM Impact on the Activities Performance (건설회사 TQM 활동이 성과에 미치는 영향)

  • Kim, Ja-Yeon;Kang, In-Won
    • Journal of the Korea Safety Management & Science
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    • v.17 no.3
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    • pp.319-330
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    • 2015
  • This study examines the factors configuration management quality of the construction company, and to analyze the impact of these factors on Project Performance and Company Performance. That quality construction management configuration factors, chief executives, corporate strategy, organizational management, information technology, and partners five variables, Project Performance variables, process management, quality management, cost management, safety management, environmental management five variables, and Company Performance parameters of financial competence and organizational satisfaction, quality of work three variables, the overall causal relationship between the presence of specific activities and management quality, classified according to the size of the company were verified by the difference in impact between the two groups.

Design of maturity model for software project management level evaluation (소프트웨어 프로젝트의 관리 수준 평가를 위한성숙도 모형 설계)

  • Jeon, Soon-Cheon
    • Journal of Advanced Navigation Technology
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    • v.15 no.4
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    • pp.609-615
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    • 2011
  • In recent public institutions and banks to improve competitiveness in the integration of information systems projects are larger in size and may be the project's ever-growing need appropriate software project management plan. However, between the effect of the project management area for systematic research was scarce. Through this study, previous research in the important area of project management is developed, and "scope, schedule, quality, human resources, risk" of each area of impact analysis and the interaction between the progress of each area, the planning, execution, completion Performance levels were analyzed separately. Affected and Performance Analysis of the results to assess the level of the project management model is presented.

Profit-oriented Impact Analysis of Demand Management Strategy on Design-Build Firms Using System Dynamics

  • Yoo, Wi-Sung
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.2
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    • pp.169-182
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    • 2012
  • In the past, a strategic management of work demands has been increasingly challenged to design-build (DB) firms. Such a management is capable of providing sufficient profitable impact of a project on them. Total project profit is mainly related to actual resources, work completion time, amount of rework, and costs. The degree of recycling work packages in the DB project delivery system is used as a measure of the quality of the performed work. However, there are few models available to evaluate the impact of a demand management strategy on the DB firms and to predict its behavior. We propose a decision-making support model as an aid for assessing the amount of rework and for predicting project profit resulting in a convincible demand management strategy. This model is constructed by using a dynamic feedback approach that can analyze the problems arising in complex managerial systems. For the purpose of illustration, widely acceptable strategies were applied into the model to explore their impacts on the DB firms. The results indicate that the model is helpful for the managers in selecting the most appropriate demand management strategy for successfully achieving their objectives.

Measuring the Impact of Change Orders on Project Performances by Building Type

  • Juarez, Marcus;Kim, Joseph J.
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.179-187
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    • 2022
  • The project performances can be measured in terms of meeting the project schedule, budget, and conformance to functional and technical specifications. Numerous studies have been conducted to examine the causes and effects of change orders for both vertical and horizontal construction, respectively. However, these studies mainly focus on a single project type, so this paper examines the impact of change order for cost growth and schedule overruns using four different building types to close the gap in the change order research area. A total of 211 building projects are collected from four building types: healthcare, residential, office, and education. Statistical analyses using ANOVA tests and linear regression models are used to examine the created metric $CO/day on the cost and schedule impacts. The results found that mean $CO/day values were not statistically different among building types, and that the sum of change orders is a statistically significant predictor of $CO/day. The results will help project stakeholders mitigate the negative change orders effects can be a challenge for project managers and researchers alike.

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