• The Journal of Information Systems
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• v.21 no.4
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• pp.31-54
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• 2012

Information Systems have played a strategic role in achieving business goal and become an essential tool in today's business environment. Thus, the number of developing SI project has increased and it becomes complex and sophisticated. It is known that project manager's leadership could lead the project success. In this study, project manager's competencies are divided into two types, information competency(information-oriented mind, information utilization competency, information development competency) and managerial competency(project management, human relationship, project expertise. The purpose of this study is to examine the effect of information competency and managerial competency on the SI project success and to find out the moderating effect of project size. The result of this study reveals that information utilization competency, project management competency and human relationship have a strong relationship with both customers and suppliers side of projet success. Moreover, the relationship between managers' competencies and project success is shown to be different by project size. The result of this study implies that each managers' competencies has to be developed and applied according to project's complexity and size.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.77-84
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• 2003

Experts work teams generally agree that small teams are better than large teams for getting things done. Also, always aim for the lowest practical team size. But what does "small" mean\ulcorner We Introduce to productive metrics such as project delivery rate (PDR) and speed of delivery (SOD) for decision criteria of ideal team size. The experimental is based on the analysis of 300 project data. These data sets are divide in two subgroups. One is a development project ; the other is a maintenance project. As a result of experimental in two subgroup, we come to the conclusion that the molt successful projects has small teams indeed staffed with maximum five persons. This paper presents ideal team size in order to provide information that can be used as a guide in selecting the most practical and productive-based team size for a software development project.t project.

• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.191-211
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• 2005

This study investigates the decision criteria used in the context of IT investment decision making and empirically analyzes the impact of IT project size and types on the importance of decision criteria. 5 criteria which have been extracted from the previous studies and industry practices are budget, financial benefits. strategic value. risk, and the degree of proposer's eagerness. Data of 120 IT project proposals have been collected from 5 companies including bank, insurance. and stock trading company. As results of ANOVA test. 7 out of 10 hypothesis have been accepted statistically. That is. the bigger the project size. the higher the evaluation weight of project budget and risk criteria and the lower the weight of proposer's eagerness. And in case of the infrastructure investment type. the emphasis is placed more on strategic value and risk criteria and less on financial benefit and proposer's eagerness. These findings provide insights for both IT practitioners and researchers.

• Journal of Construction Engineering and Project Management
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• v.6 no.4
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• pp.1-6
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• 2016

Construction industry ranks as the largest industry and imparts a significant part in developing and achieving the aims of society. Due to the involvement of larger number of stakeholders, construction industry is complex in nature. The current study is designed to identify and evaluate the factors affecting the success of construction projects in Khyber Pakhtunkhwa (KP), Pakistan. To carry out the study, a questionnaire was developed in term of interview pilot study. The data from the questionnaire survey was analyzed through SPSS software in five groups to accumulate authenticity of 44 factors. Later on the ranking was done by relative importance index (RII). According to the outcome of the research, "Project Group" stood highest among the five groups with factor of "project size" at the top rank while "Contractor Group" stood lowest with the factor of "client size" at bottom rank. From the study it is concluded that the Project Group is identified as a crucial blockade in success of construction projects. By giving pivotal attention to project group, the projects could be successfully attained from factors of project size, materials and equipment, funds and resources and project planning. To focus on the factors of project group, trust of the province people could be restored in construction of projects.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.163-168
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• 2013

A construction workspace is considered as a critical factor to secure constructability and safety of a project. Specially, optimized size of each workspace helps to minimize any conflicts between workspaces, works and resources within a workspace in the construction site. However, since an existing method for making a decision workspace's size depends on generally experiences of managers and work conditions of activity, it is difficult to perform safe works considering feasible workspace size. The workspace size is changed according to the quantity of resources allocated into each activity as time progresses. Accordingly, it is desirable that optimized workspace size considering input size of resources is determined. To solve these issues, this study configures an optimized model for deciding standard size of workspaces by simple regression analysis and develops a visualized scenario model for simulating the optimized workspace shape in order to support BIM (Building Information Modeling) environment. For this, this study determines an optimized resource shape size considering maximum working radius of each resource and constructs its visual model. Subsequently, input size of resources for each activity is estimated considering safety execution area of resources and workspaces. Based on this, an optimized 3D workspace shape is generated as a VR simulation model of a BIM system based on the suggested methodologies. Moreover, operational feasibility of the developed system is evaluated through a case study for a bride project. Therefore, this study provides a visualized framework so that project managers can establish an efficient workspace planning in BIM environment. Besides, it is expected that constructability, productivity and safety of the project will be improved by minimizing conflicts between workspace and congestions between resources within a workspace in the construction phase.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.35-47
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• 2007

The purpose of this thesis is to analyze the success factors of ERP system in corporations and to know what is different in the factors depending on organizational culture and size. Considering there are various results from introduction of the same information technology(IT), it is implied that organizational characteristics make a difference. In this thesis we did factor analysis and multiple regression about the factors based on the previous studies and analyzed the priorities depending on organizational culture and size. The results show that mechanistic organization has key success factors of work process change, project team abilities, and determination of CEO while organic organization has those of work process change and project team abilities. Plus bigger sized organization has success factors of work process change, project team abilities, and determination of CEO while small sized organization has those of work process change and project team abilities.

• The KIPS Transactions:PartD
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• v.10D no.7
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• pp.1127-1136
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• 2003

Estimation of software project cost, effort and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of models estimate the development effort using the function point that is measured from the requirement specification. This paper presents optimal team size and duration prediction based on function point in order to provide information that can be used as a guide in selecting the most Practical and productive team size for a software development project. We introduce to productive metrics and cost for decision criteria of ideal team size and duration. The experimental is based on the analysis of 300 development and enhancement software project data. These data sets are divide in two subgroups. One is a development project; the other is a maintenance project. As a result of evaluation by productivity and cost measured criteria in two subgroups, we come to the conclusion that the most successful projects has small teams and minimum duration. Also, I proposed that predictive model for team sire and duration according to function point size based on experimental results. The presented models gives a criteria for necessary team site and duration according to the software size.

• Korean Journal of Child Studies
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• v.25 no.6
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• pp.131-152
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• 2004

This study used meta-analysis to synthesize the effectiveness of the project approach. After reviewing 51 studies, we analyzed the effect size of 119 articles published between 1990 and 2002 using SAS 8.2 program. The grand average of the project approach effectiveness was 1.03. This implies that the experimental group that employing the project approach is more effective than control group by the 35 percentile. We also found that the project approach is more effective for preschool children group (1.21, 89%) than for the elementary school children group (0.88, 81%). Specific variables regarding the effectiveness of the project approach were analyzed and its consequences were discussed.

• Smart Media Journal
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• v.1 no.4
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• pp.79-83
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• 2012

In software development process, increasing the size of project(scaling up) is not a same problem as scaling up the parts of small project. Scaling up a project should accompany the communications, and cost, productivity, qualities, development activity, methodologies etc should be considered with it. In this paper, the effective usage of the important elements are discussed in order not to fail to scale up a project.

• Journal of Construction Engineering and Project Management
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• v.5 no.4
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• pp.12-15
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• 2015

Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users' activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.