scholarly journals Evaluating contractor prequalification data: selection criteria and project success factors

1997 ◽  
Vol 15 (2) ◽  
pp. 129-147 ◽  
Author(s):  
Zedan Hatush ◽  
Martin Skitmore
Keyword(s):  
Selection Criteria ◽  
Success Factors ◽  
Project Success ◽  
Data Selection

Preliminary Study of the Impact of Critical Success Factors on Project Success in Pakistan

2014 ◽  
Vol 1 (4) ◽  
pp. 9-13 ◽  
Author(s):  
Aqeel Ahmed ◽  
Muhammad Sehail Younis
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Project Success ◽  
Workforce Planning ◽  
Survey Instrument ◽  
Past Performance ◽  
Cronbach Alpha ◽  
Critical Success ◽  
Preliminary Study ◽  
The Impact

This preliminary study attempts to link among the critical success factors on overall project success in public sector organizations in Pakistan.  In this study it’s reflected that major critical success factors (soundness of Business & workforce, planning & control, quality performance and past performance) can enhance the success of the project in Pakistan.  The purpose of this preliminary study was to verify the reliability of the survey instrument which has been used in European countries. It was found that the planning & control was the highest Cronbach Alpha value, while the ranged for each constructs in the present study from 0.68 to 0.88.  Therefore, based on the Cronbach alpha value score, the proposed survey instrument has fulfilled the basic requirement of a valid instrument.

scholarly journals Accelerating assimilation development for new observing systems using EFSO

2018 ◽  
Vol 25 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Guo-Yuan Lien ◽  
Daisuke Hotta ◽  
Eugenia Kalnay ◽  
Takemasa Miyoshi ◽  
Tse-Chun Chen
Keyword(s):  
Selection Criteria ◽  
Ensemble Forecast ◽  
Data Selection ◽  
Development Work ◽  
Observation Data ◽  
Precipitation Data ◽  
Trial And Error ◽  
Satellite Precipitation ◽  
Selection Strategies ◽  
Observing Systems

Abstract. To successfully assimilate data from a new observing system, it is necessary to develop appropriate data selection strategies, assimilating only the generally useful data. This development work is usually done by trial and error using observing system experiments (OSEs), which are very time and resource consuming. This study proposes a new, efficient methodology to accelerate the development using ensemble forecast sensitivity to observations (EFSO). First, non-cycled assimilation of the new observation data is conducted to compute EFSO diagnostics for each observation within a large sample. Second, the average EFSO conditionally sampled in terms of various factors is computed. Third, potential data selection criteria are designed based on the non-cycled EFSO statistics, and tested in cycled OSEs to verify the actual assimilation impact. The usefulness of this method is demonstrated with the assimilation of satellite precipitation data. It is shown that the EFSO-based method can efficiently suggest data selection criteria that significantly improve the assimilation results.

Interrelationships among critical success factors for the planning of municipal solid waste management PPP projects in India using structural equation modelling

2021 ◽  
pp. 0734242X2110619
Author(s):  
Nzanthung Ngullie ◽  
Krishna Chaitanya Maturi ◽  
Ajay S Kalamdhad ◽  
Boeing Laishram
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Success Factors ◽  
Solid Waste Management ◽  
Project Success ◽  
Municipal Solid Waste Management ◽  
Critical Success ◽  
Equation Modelling

This research aims at investigating the interrelationships between critical success factors (CSFs) in municipal solid waste management (MSWM) projects taken up in public–private partnership (PPP) mode in India and studies the extent to which they can affect project success. A three-step procedure was followed to identify the CSFs in MSWM. A conceptual structural equation model (SEM) was developed using cluster groupings of the identified CSFs to show their interrelationships. Data collection from the public sector and private sector waste management managers was done through a questionnaire survey. The respondents’ data were analysed in analysis of moment structures (AMOS) using structural equation modelling. The SEM analysis of the respondents’ data gives the most exemplary fitting measurement model with the 17 CSFs taken as components of five latent variables: external environment, financial characteristics, project planning and procurement, project operation and management and project stakeholders. The model shows the relationships between the constructs of CSFs for project success. This study contributes to current ideas by empirically identifying the interrelationships between the MSWM CSFs, which can help waste management professionals handle the CSFs rationally. Furthermore, the study shows that all the groups have a direct and positive impact on project success. The findings may only portray the opinion of solid waste management managers in India.

scholarly journals EARLY WARNING SYSTEM IN MANAGING WATER INFRASTRUCTRE PROJECTS

2019 ◽  
Vol 25 (6) ◽  
pp. 531-550
Author(s):  
Mariela Sjekavica Klepo ◽  
Mladen Radujković
Keyword(s):  
Project Management ◽  
Early Warning ◽  
Final Stage ◽  
Early Warning System ◽  
Critical Success Factors ◽  
Success Factors ◽  
Project Success ◽  
Warning System ◽  
Infrastructure Projects ◽  
Critical Success

There is a continuous need to improve existing project management decision-making support models, particularly those for monitoring and control are needed to increase chances for success. In this paper, potential of early warning in project management was focused, along with its connection to project success via project success factors. First, a systematic literature review was conducted, along with the focus group method, in order to identify project success factors. The selected success factors were also collected on 93 water infrastructure projects through a survey. By the means of linear regression analysis, critical success factors were finally determined. The results were integrated in the early warning system algorithm, composed by three modules – detection, validation and response module. The response module is composed by three dimensions: 1) risk, constraint and change management, 2) incorporation of project management competences and 3) application of project management methods, tools and techniques. The proposed early warning system was tested on three infrastructure projects. The results confirmed that improved early warning system can contribute in increase of project management success. As original database is composed by projects from only one country (Croatia), in the final stage of the research proposed approach was checked in five countries from the Central or South East Europe (Czech Republic, Slovenia, Serbia, North Macedonia, Bosnia and Herzegovina). The results from the final stage confirmed potential of the proposed approach as declared originally, so it is reasonable to expect success in early warning system’s implementation due to similarities of critical success factors on projects as well as project management problems in general, that countries in regions share. This research presents new and creative way in linking early warning and project success, as well as interpretation of early response through different dimensions in project management. Also, based on the results of this research, it is possible to create a useful practical tool for managing other types of projects.

scholarly journals The impact of project manager on project success — The case of ICT sector

2016 ◽  
Vol 38 (2) ◽  
pp. 261-281
Author(s):  
Bálint Blaskovics
Keyword(s):  
Project Management ◽  
Leadership Style ◽  
Critical Success Factors ◽  
Success Factors ◽  
Project Success ◽  
Personal Characteristics ◽  
Critical Success ◽  
Success Criteria ◽  
The Impact ◽  
Management Attitude

The project management literature on project success is rich. Numerous papers focus on the evolution of the understanding of project success, identification of success criteria and critical success factors. Critical success factors increase the potential for achieving project success, while project success can be evaluated with the help of success criteria. Although the interrelationships between critical success factors and success criteria are rarely analyzed, yet there is a strong demand for it. The aim of this paper is twofold. One of the aims is to identify the impact of one of the critical success factors, the project manager’s project management attitude on project success. The other aim is to highlight the interrelationship between the project manager’s personal characteristics and project management attitude and leadership style, which are three critical success factors. These aim to address the shortcoming mentioned above, which is considering the lack of the interrelationships between critical success factors and success criteria. The research outcomes are drawn from qualitative field research at the Hungarian subsidiaries of multinational companies operating in the ICT sector.

Campus Portal Strategies

2011 ◽  
pp. 68-88 ◽  
Author(s):  
David L. Eisler
Keyword(s):  
Success Factors ◽  
Project Success ◽  
Project Organization ◽  
Community Strategies ◽  
Campus Portal

This chapter is designed to assist campuses and their leaders in determining whether to pursue a portal project. For those universities that choose to create portals, a series of strategies and approaches are presented to guide and assist in the success of the effort. This material is provided from the perspective that campus portals can provide a new way to connect with students, faculty, alumni and the community. Strategies are presented to determine whether to undertake a portal project, and the campus readiness for this effort. Nine different approaches to campus portals are presented, together with suggestions on project organization. Project success factors are developed together with potential planning pitfalls for campus portal projects. Finally future approaches for portals are discussed with thoughts for portal acceptance on campus.

Key Success Drivers for Large High-Technology Projects

2016 ◽  
pp. 2341-2352
Author(s):  
Phil Crosby
Keyword(s):  
Project Management ◽  
Success Factors ◽  
Project Success ◽  
High Technology ◽  
Strategic Success

Success in project management, and particularly in large, high-technology projects, continues to test the resources of organisations and their sponsors. This chapter revisits the conclusions of an earlier meta-study (Crosby, 2012a) that examined a large number of published case investigations and research efforts relating to the success and failure of projects. In that study, the success factors for general, and high-technology, projects were grouped and ranked as strategic success drivers for use prescriptively by project practitioners and approvers, and the principal drivers were examined closely to reveal any less obvious characteristics influencing project success. This chapter takes the original findings of ranked success drivers and investigates how these align with the experiences of three large contemporary high-technology projects. The conclusions show that, while the original set of drivers remains valid as predictors of project success, the ranking is likely to vary, even between projects that are technically and structurally similar. Two additional success factors are added as a result of the present study.

scholarly journals An Inquiry into Success Factors for Post-disaster Housing Reconstruction Projects: A Case of Kerala, South India

2020 ◽  
Author(s):  
Shyni Anilkumar ◽  
Haimanti Banerji
Keyword(s):  
Project Management ◽  
Conceptual Model ◽  
Success Factors ◽  
South India ◽  
Project Success ◽  
Successful Implementation ◽  
Housing Projects ◽  
Success Traits ◽  
Housing Reconstruction ◽  
Post Disaster

Abstract The 2004 Indian Ocean Tsunami triggered significant destruction to housing and related infrastructures across various coastal districts of south India. Research shows that tsunami reconstruction projects in Kerala experienced different degrees of success and failure. On this background, this study explored factors that contributed to the successful implementation of tsunami housing projects in Kerala by (1) consolidating various critical success factors (CSFs) for post-disaster reconstruction (PDR) projects under “project management success traits” through content analysis of existing literature; (2) deriving a conceptual model that envisages project success in PDR contexts; and (3) assessing the impacts of those success traits on tsunami housing projects using confirmatory factor analysis. Necessary data were gathered through a survey of various stakeholders involved in tsunami reconstruction projects in Kerala using structured questionnaires. The research revealed that PDR project success is attributed to critical dimensions of project management such as institutional mechanisms, reconstruction strategies, project implementation, and stakeholder management. A conceptual model with the interplay of project success, success traits, as well as their CSFs identified the project management actions that must be monitored during reconstruction. Since the project management approach is widely recognized for PDR projects, these success traits hold huge potential for effective organization and management of housing reconstruction projects. The study also helped to identify project management traits that need improvements for the successful implementation of post-disaster housing projects in Kerala. Thus the research findings can serve as a foundational study for formulating project management strategies appropriate to PDR projects in Kerala.

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