Study of High-New Technology Innovation Project Performance Evaluation with Uncertain Linguistic Variables

2012 ◽  
Vol 6 (11) ◽  
pp. 321-327
Author(s):  
Jin Wang
Keyword(s):  
Performance Evaluation ◽  
Technology Innovation ◽  
New Technology ◽  
Project Performance ◽  
Linguistic Variables ◽  
Innovation Project

scholarly journals Factors Influencing Collaborative Innovation Project Performance: The Case of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7380
Author(s):  
Hong Liu ◽  
Zhihua Liu ◽  
Yongzeng Lai ◽  
Lin Li
Keyword(s):  
Organizational Climate ◽  
Structural Equation ◽  
Resource Dependence ◽  
Positive Impact ◽  
Project Performance ◽  
Benefit Distribution ◽  
Collaborative Innovation ◽  
Innovation Project ◽  
The Incentive Mechanism ◽  
The Impact

This study conducted a comprehensive and systematic investigation of the influencing factors for collaborative innovation project (CIP) performance. First, a theoretical framework model was constructed, and then a structural equation model (SEM) was used for an empirical analysis of 199 CIPs. Furthermore, we divided the factors into tangible and intangible categories and considered the impact mechanism of nine typical factors on project performance. The results are as follows: (1) All nine factors had a significant positive impact on the performance of collaborative innovation projects, among which benefit distribution and collaborative innovation capability were the most important. (2) Benefit distribution, resource dependence, organizational climate, and collaborative innovation affected project performance, both directly and indirectly. (3) Effective communication, leadership support, knowledge sharing, and collaborative innovation ability only had a direct influence, while the incentive mechanism played only an indirect role. Finally, three suggestions were put forward on the idea of high-quality, sustainable development.

Development of an Industry Test Facility and Qualification Process for ILI Technology Evaluation and Enhancements: Performance Evaluation Phase

2018 ◽  
Author(s):  
Pablo Cazenave ◽  
Ming Gao ◽  
Hans Deeb ◽  
Sean Black
Keyword(s):  
Performance Evaluation ◽  
Technology Development ◽  
New Technology ◽  
Test Facility ◽  
Technology Evaluation ◽  
Team Members ◽  
Integrity Assessment ◽  
Evaluation Phase ◽  
The Individual ◽  
Pull Tests

The project “Development of an Industry Test Facility and Qualification Processes for in-line inspection (ILI) technology Evaluation and Enhancements” aims to expand knowledge of ILI technology performance and identify gaps where new technology is needed. Additionally, this project also aims to provide ILI technology developers, researchers and pipeline operators a continuing resource for accessing test samples with a range of pipeline integrity threats and vintages; and inline technology test facilities at the Technology Development Center (TDC) of Pipeline Research Council International, Inc. (PRCI), a PRCI managed facility available for future industry and PHMSA research projects. An ILI pull test facility was designed and constructed as part of this project based on industry state-of-the-art and opportunities for capability improvement. The major ILI technology providers, together with pipeline operator team members, reviewed the TDC sample inventory and developed a series of ILI performance tests illustrating one of multiple possible research objectives, culminating in 16-inch and 24-inch nominal diameter test strings. The ILI technology providers proposed appropriate inspection tools based on the types of the integrity threats in the test strings, a series of pull tests of the provided ILI tools were performed, and the technology providers delivered reports of integrity anomaly location and dimensions for performance evaluation. Quantitative measures of detection and sizing performance were confidentially disclosed to the individual ILI technology providers. For instances where ILI predictions were outside of claimed performance, the vendors were given a limited sample of actual defect data to enable re-analysis, thus demonstrating the potential for improved integrity assessment with validation measurements. In this paper, an evaluation of the ILI data obtained from repeated pull-through testing on the 16 and 24-inch pipeline strings at the TDC is performed. The resulting data was aligned, analyzed, and compared to truth data and the findings of the evaluation are presented.

The Theoretical Analysis of Performance Evaluation Connotation of Rural Highway Projects

2012 ◽  
Vol 204-208 ◽  
pp. 1848-1856
Author(s):  
Wu Gong Wang ◽  
Rong Guo Ma ◽  
Kun Feng ◽  
Guo Hua Liang
Keyword(s):  
Public Finance ◽  
Performance Evaluation ◽  
Theoretical Analysis ◽  
Swot Analysis ◽  
Project Performance ◽  
Analysis Method ◽  
Highway Projects ◽  
Rural Highway ◽  
Analysis Of Performance ◽  
Highway Project

On the basis of defining the concept of rural highway project performance, the necessity of the project performance evaluation of rural highway is analyzed. According to the theories of government's public function, fiduciary responsibilities accountability and public finance, the relation between rural highway and public finance are made researches on. Furthermore,with the application of the demand level theory of Maslow, the interrelationship among objects of the rural highway project performance evaluation is made an analysis of, and on top of that, combined with SWOT analysis method, the demand and goal of rural highway project performance evaluation are put forward.

scholarly journals A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Hossein Fazel Zarandi ◽  
Neda Mohammadhasan ◽  
Susan Bastani
Keyword(s):  
Performance Evaluation ◽  
Expert System ◽  
Intellectual Capital ◽  
Fuzzy Rule ◽  
Qualitative Evaluation ◽  
Linguistic Variables ◽  
Rule Based ◽  
Proposed Model ◽  
Linguistic Approach ◽  
Fuzzy Linguistic

A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.

Reducing uncertainties in innovation projects through intra-organisational collaboration: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rola Imad Fanousse ◽  
Dilupa Nakandala ◽  
Yi-Chen Lan
Keyword(s):  
Systematic Review ◽  
Project Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Project Performance ◽  
Organisational Learning ◽  
Content Type ◽  
Innovation Projects ◽  
Innovation Project ◽  
The Impact

PurposeThis article provides the first systematic review of literature on effective organisational practices for reducing innovation project uncertainties to promote project performance. Innovation is the lifeblood of organisations, while simultaneously being one of the most challenging processes to manage. This systematic review seeks to examine best practice for reducing uncertainties and thus mitigate the high failure rates in innovation projects.Design/methodology/approachThis paper provides a systematic review of the literature on innovation project management and encourages an understanding of how intra-organisational collaboration reduces uncertainty and thus increases project performance.FindingsBased on an analysis of the systematic literature review findings, the impact of intra-organisational collaboration in reducing uncertainties in innovation projects is uncovered. Three types of project uncertainties were found to be dominant in the context of innovation project management: task, technological and market uncertainties. Five dimensions of intra-organisational collaboration are also identified, namely collaborative relationship, collaborative leadership, communicating and sharing information, trust formation and joint decision-making.Originality/valueThe authors situate five intra-organisational collaboration dimensions as key mechanisms that yield organisational learning as an outcome. On the other hand, they also uncovered that organisational learning is a key enabler in the relationship between intra-organisational collaboration and task, market and technological uncertainties reduction. Therefore, intra-organisational collaboration is identified as a critical practice in enhancing the performance of innovation projects. The study proposes a multi-dimensional conceptual model, providing a mechanism for furthering a research agenda for improving the performance of innovation projects.

Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method

2020 ◽  
Vol 27 (8) ◽  
pp. 1763-1794
Author(s):  
Zhao Xu ◽  
Xiang Wang ◽  
Ya Xiao ◽  
Jingfeng Yuan
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Indicator System ◽  
Project Performance ◽  
Information Modeling ◽  
Content Type ◽  
Evaluation Indicator ◽  
Performance Evaluation Model ◽  
Element Method

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.

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