Li-Ren Yang

A framework for assessing impacts of leadership competency on police project performance

Purpose – The purpose of this paper is, primarily, to investigate the relationships of the project leaders competencies with job satisfaction, and their impact on project performance. The second objective is to determine whether job satisfaction plays a mediating role in the relationship between leadership competency and project performance. The third objective is to examine the moderating role of project type in the relationship between job satisfaction and project performance.Design/methodology/approach – To address the primary aims, a questionnaire‐based survey was used to measure the project leader’s competency, the job satisfaction of team members, and the performance of projects in the Taiwanese police departments. The structural equation modeling (SEM) approach was used to validate the research model.Findings – The results show that job satisfaction mediates the effects of leadership competency on project performance. Furthermore, these results prove that complexity, workload, method, and project ...

Requirements Definition and Management Practice to Improve Project Outcomes

Abstract Poor project requirements definition and management (RDM) is one of the major causes of project failure. However, many organizations do not adequately manage a projects requirements leading to a poor design basis. Thus, quality of requirements is critical to the success of any construction project. The primary purpose of this research was to investigate the mediating effect of requirements quality on the relationship between RDM practice and project performance. The second objective was to determine whether the impact of RDM practice on project performance was moderated by project characteristics. A three-phase approach was employed to investigate construction projects in the Taiwanese building industry. The testing supports a role for requirements quality as a partial mediator in the relationship between RDM practice and project performance. The findings also indicate that project characteristics have a moderating effect on the relationship between requirements quality and overall project perfo...

Impact of Integration and Automation Technology on Project Success Measures

Construction firms attempt to improve project performance by adopting technology. However, the advantages gained from technology utilization are still not clear. Lack of information regarding technology benefits has resulted in industry reluctance to implement new technology. Therefore, there are needs for studies that quantify the impacts of technology utilization on project success. An industry-wide survey (excluding small projects) was used to collect project data from 131 capital facility projects on the issue of integration/automation technology usage and project success parameters. Project performance variables analyzed include project cost success, project schedule success, and composite project success. This paper reports on relationships between integration/automation technology usage in the construction industry and project success parameters. Findings are presented and analyzed according to several data class variables, including industry sector, typical vs. advanced projects, project size, public vs. private projects, and greenfield vs. expansion vs. renovation projects. In addition, integration and automation technology findings are presented by project phase. The analyses indicate that technology utilization may make a significant contribution to a project’s cost and schedule success, particularly for certain types of projects.

Optimal construction sequencing for secant pile wall

Finding the optimal sequence so as to minimizing the construction time is one of the solutions to lower the construction costs. This study proposes an effective and efficient optimization algorithm, self-organizing feather map based optimization (SOMO), to minimize the construction time with an application to a case study in obtaining the optimal sequences for both primary and secondary bored piles of a secant pile wall. The SOMO is a new developed algorithm according to the human brain that is capable of producing topologically ordered mapping, and that can occur in the evolution of the feature map for optimization. The results demonstrate that the optimal sequences for both primary and secondary bored piles are determined with 27.21% of time saving. The practicability of the SOMO algorithm is substantiated.

Testing a Framework for Evaluating Critical Success Factors of Projects

Electronic component sales (ECS) projects are unique in the electronics industry. The key processes and personnel factors in ECS projects are distinct from those in other areas. The primary objective of this study was to develop a comprehensive framework for evaluating the critical success factors (CSFs) of ECS projects. The second objective was to identify and prioritize project CSFs using the analytical network process (ANP). The results suggest that the two most influential CSF categories in the electronic component distribution sector are factors related to the project manager and the external environment. The results also indicate that the job satisfaction of team members is perceived as the most critical success factor. Project managers can use the results of this study to understand the associations between adoption of CSFs and ECS project success, and to modify their current project planning and control process.

Information platform to improve technological innovation capabilities: role of cloud platform

AbstractConceptualizing technological innovation capabilities and cloud platform implementation in the construction management context is still rudimentary. The primary objective of this study was to validate a model for assessing the relationships among information platform usage, technological innovation capabilities, and capital facility project performance. This study also evaluated the moderating role of type of platform in the relationships. This study empirically investigated a sample of projects in the Taiwanese construction industry. The structural equation modeling (SEM) approach was used to validate the research model. In testing the moderation effect, two-way analysis of variance (ANOVA) was used. The findings indicate that implementation of information platform contrubutes significantly to technological innovation capabilities. In addition, these analyses suggest that technological innovation capabilities have a positive effect on project performance. The results also show that the relationsh...

A comprehensive framework for evaluating key project requirements

AbstractRequirements definition affects work performed in subsequent phases of a project. Thus, the compliance with requirements is crucial to the success of a project. The primary objective of this research was to develop a comprehensive framework for evaluating key building project requirements. The second objective was to identify and prioritize important project requirement using the analytical network process (ANP). The third objective was to examine the impact of requirement completeness on project success using structural equation model (SEM) analysis. A four-phase approach was employed to achieve the goals. The results suggest that building programming and site information have a higher priority in requirement definition than project control, project strategy, and project design parameter. The findings also indicate that requirement completeness may contribute significantly to building project success in terms of schedule success, cost success, quality performance, and overall benefit.

Activity-Level Information Systems Usage and Distribution Center Performance

Technologies and innovations emerge quickly in the business world. Logistics firms also attempt to improve performance by adopting technology. However, since the benefits of innovation can be rather intangible, this has slowed the adoption of new technology. Therefore, there are needs for studies that quantify the impacts of technology utilization on logistics companies. Quantifying effects on logistics performance will assist companies in deciding whether to use certain technologies. The primary purpose of this study was to examine empirically the impact of activity-level information systems adoption on the perception of distribution center performance. To address the primary aim, a questionnaire-based survey was conducted to determine associations between information systems usage and distribution center performance. Data were collected on a sample of 54 distribution centers and warehouses. The paper provides practical recommendations relating to technology benefits and whether to use information systems in certain logistics activities.

Exploring the Links between Task-Level Knowledge Management and Project Success

Research on explaining task-level knowledge management in achieving capital facility project success is limited. The purpose of this paper was two-fold. The first objective of this study was to validate a model for assessing the relationships between task-level knowledge management and project success. The second objective was to evaluate the moderating role of project characteristics in the relationship between task-level knowledge management and project success. This paper empirically investigated a sample of capital facility projects in the construction industry. The structural equation modeling (SEM) approach was used to validate the research model. These results suggested that knowledge management used in certain project tasks contributes to project success. On the other hand, the findings indicated that the relationship between task-level knowledge management and project success depends on team size, owner regulation, project environmental uncertainty, complexity, and time availability. Specifically, the results suggested that large project teams are more likely to achieve project success when they experience high levels of knowledge management than small project teams. Private projects are more likely to achieve project success when they experience high levels of knowledge management than public projects. It was also clear that projects under high and medium uncertainty may achieve higher levels of project success when they experience high levels of knowledge management than those under low uncertainty. In addition, projects with high and medium complexity were more likely to be successful when they experience a high level of knowledge management than projects with low complexity. Finally, the results also suggested that projects with an unrealistic schedule were more likely to be successful when they experienced a high level of knowledge management than projects with a realistic schedule.

Influence of Cloud Platform Utilization on Project Success: Moderating Role of Project Team Size

 Abstract—Conceptualizing implementation of cloud platform in the project management context is still rudimentary. The primary objective of this study is to examine the moderating role of project team size in the relationship between innovation capabilities and project and market performance. This study empirically investigated a sample of projects in the Taiwanese industry. The structural equation modeling (SEM) approach was used to validate the research model. In testing the moderation effect, a multiple-group analysis was used. The results show that project team size has a moderating effect on the relationship between innovation capabilities and performance outcome.