scholarly journals Can 1 h of training lead to better project decision-making?

2020 ◽  
Vol 8 (1-2) ◽  
pp. 89-124
Author(s):  
David Newman ◽  
Steve Begg ◽  
Matthew Welsh
2021 ◽  
Vol 233 ◽  
pp. 03058
Author(s):  
Shan Chen ◽  
Xiaoguang Liang ◽  
Mingmao Li ◽  
Chuanlong Zou

In order to study the quality risk of large-scale clusters of engineering project and makes the characteristic analysis of large-scale clusters of engineering project and evaluates quality risk, the author uses analytic hierarchy process to quantify quality risk factor, and the following conclusions are obtained: (a) Construction management unit that makes the project decision-making mainly controls the QRM, comparatively speaking, it has little control over quality risk when the project is completed and ready to get acceptance (b) In the project decision-making stage, the Construction Technology has the greatest influence on the project quality management. This paper puts forward the suggestion that the influence of quality risk factors should be quantified by associated experts, so as to provide a reference for the construction quality management of large-scale cluster projects.


2019 ◽  
Vol 12 (4) ◽  
pp. 1030-1060
Author(s):  
Boris David Idler ◽  
Konrad Spang

Purpose The purpose of this paper is to clarify the relevant determinants of IT project decision making and their relevance in corporate practice. Design/methodology/approach The empiric analysis used in-depth expert interviews (n=18) as method for data collection and qualitative content analysis using evaluative categories for analysis. Findings Corporate practice is strongly influenced by descriptive decision making. There is only little use of normative decision models in decision making. In corporate practice little use is made of evaluations to analyze achieved project outputs and impacts to improve decision-making practice. This is the result of several evaluation barriers in organizations. Research limitations/implications The sample is restricted to IT projects as the experts are responsible for IT project portfolio management. Also, an industry comparison is not included in the study. Practical implications The analysis shows that IT project decision making in corporate practice should include results from descriptive decision theory into project decision processes in corporate practice. More effort should be made in challenging project input data which is relevant for project decision making. By systematically including evaluations for relevant projects, the deviations between planned and achieved project impacts offer valuable feedback for estimators and decision makers. Originality/value The paper presents detailed analysis on decision variables and their relevance for IT project decision making in corporate practice. Critical aspects of decision making become clear, such as the aspects of evaluation barriers and the need to incorporate descriptive decision-making aspects into corporate decision processes.


2013 ◽  
Vol 357-360 ◽  
pp. 2519-2523 ◽  
Author(s):  
Xia Qi ◽  
Chao Yi ◽  
Jie Li

PPP project success not only depends on governmental credit and private sectors capability, but also relies on the scientific and reasonable evaluation in early decision-making stage. By thoroughly research on Singapore PPP project decision-making mechanism, deficiencies of current policy system, government supervision and evaluation mechanism in decision process of PPP project in china were summarized. Based on the findings, the proposal to improve legal framework, policy and regulation system, institutional settings, evaluation technique system as well as other aspects of PPP implementation were put forward.


Energy ◽  
2011 ◽  
Vol 36 (5) ◽  
pp. 3022-3029 ◽  
Author(s):  
Wen-Hsien Tsai ◽  
Sin-Jin Lin ◽  
Jau-Yang Liu ◽  
Wan-Rung Lin ◽  
Kuen-Chang Lee

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