scholarly journals Critical success factors for build–operate–transfer (BOT) projects in China

2017 ◽  
Vol 36 (3) ◽  
pp. 147-161 ◽  
Author(s):  
Jiaju Yang ◽  
Tahir M Nisar ◽  
Guru Prakash Prabhakar
Keyword(s):  
Questionnaire Survey ◽  
Success Factors ◽  
Project Success ◽  
Initial Assessment ◽  
Project Design ◽  
Risk Transfer ◽  
Critical Success ◽  
Ranking Analysis ◽  
Timely Delivery

AbstractThis study aims to create a list of CSFs for China’s BOT projects to help organizations achieve project success. We first describe the role of CSFs in terms of three broad categories of whether BOT projects adopt strategies for risk transfer, the degree to which BOT projects foster the ‘whole- life approach’ to project design and management and extent to which BOT projects ensure timely delivery and supplies good-quality products and services. Based on an initial CSF list, a questionnaire survey was conducted to identify the relatively important CSFs for BOT projects in China. Our initial assessment shows that the key CSFs corresponded to our defined categories of BOT projects’ success factors. We then provide an updated list of CSFs with the top ten factors in ranking analysis. This list of CSFs could play a useful role in the phases of preparing, bidding, constructing, operating and transferring of BOT projects.

scholarly journals Key Success Indicators for PPP Projects: Evidence from Hong Kong

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Yanhong Liang ◽  
Hongjun Jia
Keyword(s):  
Hong Kong ◽  
Empirical Data ◽  
Questionnaire Survey ◽  
Success Factors ◽  
Project Success ◽  
Private Partnership ◽  
Five Dimensions ◽  
Critical Success ◽  
Success Indicators ◽  
Solid Foundation

Because a consensus has yet to be reached on how to assess the success of a Public-Private Partnership (PPP) project, it is meaningful to study the multidimensional indicators to assess PPP project success. It merits attention that PPP project success indicators are totally different from PPP critical success factors (CSFs), which have attracted a lot of attention from scholars. This study conducts a questionnaire survey to identify the crucial considerations of project success from the perspectives of different PPP stakeholders. In line with previous studies, five dimensions of PPP project success that were developed from different stakeholder viewpoints and time frameworks were tested based on the empirical data. The dimensions mapped in the study not only provide a benchmark for practitioners to diagnose the extent of PPP project success but also provide a solid foundation for scholars to conduct further studies regarding PPP project success.

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.

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 Project Selection Frameworks and Methodologies for Reducing Risks in Project Portfolio Management

2017 ◽  
pp. 245-263
Author(s):  
Fabio Nonino
Keyword(s):  
Neural Networks ◽  
Portfolio Management ◽  
Success Factors ◽  
Project Selection ◽  
Project Portfolio ◽  
Project Portfolio Management ◽  
Critical Success ◽  
Innovative Methodology ◽  
Correct Level

Extracting and consolidating knowledge from past projects can help managers in selecting projects with the correct level of riskiness, while market analysis gives directions for reaching the objective of a balanced project portfolio. To this extent, the chapter discusses strategic importance of project selection and the role of risks and uncertainties in project portfolio management and presents some fundamental and innovative frameworks and project selection methodologies for balancing risks. Finally, the chapter proposes a model containing an innovative methodology, based on artificial neural networks, to help managers in balancing project portfolio and assessing projects during the selection phase on the basis of risks, uncertainties and critical success factors.

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.

The Critical Success Factors in Higher Education

2021 ◽  
pp. 84-108
Author(s):  
Tuncer Asunakutlu ◽  
Kemal Yuce Kutucuoglu
Keyword(s):  
Higher Education ◽  
Success Factors ◽  
Success Factor ◽  
Critical Success ◽  
Ranking Systems ◽  
The Future ◽  
The Subject ◽  
Education Administrators ◽  
The University

This study reviews some of the prominent ranking systems with a view to shed more light on what may constitute a critical success factor in the field of higher education. In the first part, the ranking systems are reviewed and the key principles are explained. A brief description of how institutions use ranking information is also included. In the second part of the study, the subject of internationalization in the context of ranking systems is discussed. The main challenges of competitiveness in higher education and the increasing role of internationalization are expressed. The chapter also describes threats and opportunities for the future of higher education. This section also includes suggestions for higher education administrators. In the third part, the subject of ranking with particular focus on the university-industry collaboration and its effects on the future of higher education are discussed. The role of the industry and the changing mission of the universities in the new era are explained.

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