Success evaluation model for project management

Doskočil, Radek; Škapa, Stanislav; Olšová, Petra

doi:10.15240/tul/001/2016-4-012

Cited by 18 publications

(23 citation statements)

References 13 publications

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“…Thus, it would be up to the public sector to include financial and digital education within the scope of initiatives developed in favor of education as a whole, namely teacher training, adaptation of school curricula, youth and adult education, and so on, in order to improve the level of financial inclusion in the country. Considering that financial education, in the medium term, will likely remain a challenge for most of the Brazilian people [85], this public agenda should also produce initiatives aimed at protecting consumers from taking inadequate amounts of risk and enforcing transparency of financial products' terms and conditions [86]. Lack of transparency was pointed out by CGAP [30] as a possible factor contributing to high rates of late repayment and default in East Africa since a significant percentage of digital borrowers declared they did not fully understand the costs and fees associated with their loans.…”

Section: Discussionmentioning

confidence: 99%

“…Overly burdensome regulation could result in incentives to informality that, besides creating barriers to business, innovation, and inclusion, may even weaken policies targeting money laundering and the financing of terrorism [9]. The development of this legal and regulatory framework entails a model to respond to innovation [86,90], as well as public-private collaboration to meet onerous compliance obligations [91]. Hui et al [92], for example, examined the importance of the development and enforcement of a new Regulatory Sandbox by Malaysia's central bank to accommodate fintechs in the financial sector.…”

Section: Discussionmentioning

confidence: 99%

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Unlocking the Potential of Fintechs for Financial Inclusion: A Delphi-Based Approach

Jóia

Cordeiro

2021

Sustainability

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The financial sector is experiencing an accelerated process of transformation shaped by fintechs, which opens an important window of opportunity to increase financial inclusion in emerging markets, such as Brazil, with high financial exclusion. Thus, this article investigates, through a Delphi approach involving fintech professionals, the potential of fintechs to enable financial inclusion in emerging markets, using Brazil as a proxy. The analysis carried out identified three domains related to fintechs that have the potential to impact financial inclusion: (i) fintechs can serve niches of people without a bank account in the traditional financial market, (ii) fintechs can reduce costs for clients through increased competition, and (iii) fintechs can offer financial services in remote locations, far from traditional financial institutions. Thus, with the objective of developing a public agenda of financial inclusion through fintechs, the article proposes four lines of public policies: (i) expansion and modernization of mobile and internet infrastructure, (ii) improvement of the population’s financial and digital education, (iii) implementation of a trustworthy environment for the fintech clients, and (iv) development and enforcement of an effective legal and regulatory framework for fintechs. These policies, if implemented, can benefit people excluded from the financial system around the world.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Unlocking the Potential of Fintechs for Financial Inclusion: A Delphi-Based Approach

Jóia

Cordeiro

2021

Sustainability

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“…Doskočil et al [20] The expert fuzzy model is used for project success evaluation. It is a hierarchical fuzzy model that evaluates project success in terms of project status, project risk, and project quality assessment.…”

Section: Author(s) Main Findingsmentioning

confidence: 99%

Risk Management and Knowledge Management as Critical Success Factors of Sustainability Projects

Doskočil

Lacko

2018

Sustainability

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The paper is focused on the analysis of the key aspects of sustainability projects, namely advanced risk management and project knowledge. These aspects are recommended to the attention of institutions and project managers when designing and executing new projects simultaneously with quality and project status management. The aim of the paper is to point out the critical factors that have recently affected the success of sustainability projects, which is also its contribution. Empirical research focused on the identification of the application level of the post-project phases in project management in the Czech Republic in 2016 and 2017 was performed. The research was performed as qualitative research employing observation and inquiry methods in the form of a controlled semistructured interview. The research identified 21 most common reasons for not executing post-project phases. Ensuring good and efficient progress of post-project phases, in particular by the means of post-implementation system analysis and compilation of a set of improvement suggestions for subsequent project management, forms the practical background for application of knowledge management and project management principles. A case study focused on the application of fuzzy logic in project risk assessment has been elaborated. In practice, current project management requires the application of advanced risk analysis methods that will replace the simple risk values estimated by calculations of separate risk components. •Advanced risk management of sustainability development projects. • Utilization of knowledge management by employing post-project phases in the project life cycle.

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“…Doskočil at al. [23] presented a new expert decisionmaking fuzzy model for the evaluation of project success. EVM metrics, total value of project risk and quality were identified as success factors.…”

Section: Related Studiesmentioning

confidence: 99%

Developing a Model for Measuring Project Performance with Software Life Cycle Process Metrics and Calculating Project Success Score

Gün

Kumru

Aladağ

2020

Sakarya University Journal of Science

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Despite the developments in the process and tool infrastructure in the software world, project success has not significantly improved. In software projects, the definition of project success means to produce products that the customer desires in the planned effort, time and budget. To achieve this goal, planning, analysis, design, coding, integration, testing and delivery processes are operated interactively from the beginning to the end of a software project. Metrics of these processes are used to measure the performance of software projects. Since the literature review shows that project management process metrics such as budget, effort, schedule, customer satisfaction, product quality are used in measuring project performance, more comprehensive and effective criteria are needed to be defined and applied in measuring project performances. Due to the importance of the project performance evaluation, a general evaluation model was created in this study. The proposed model is designed for use in the software industry. In terms of project performance, a model has been developed that focuses on management of project, requirement, risk, quality and configuration, development, verification and validation processes. The purpose of this article is to present a model that evaluates the performance of software projects and expresses project success with a numerical value. Analytical hierarchy process (AHP) was used to calculate the relative importance of each process metric criterion and sub-criteria that provide input to the performance evaluation. Statistical process control method was used in the evaluation of project performance and calculation of the project success score. It was operated in an R&D organization to verify the proposed model and the performance of a project in delivery phase to the customer was measured. It is thought that the model presented in this study will help the managers, who monitor the project status, to evaluate project performance, as well as provide the numerical comparison of performance between projects.

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Success evaluation model for project management

Abstract: SUCCESS EVALUATION MODEL FOR PROJECT MANAGEMENT

Cited by 18 publications

References 13 publications

Unlocking the Potential of Fintechs for Financial Inclusion: A Delphi-Based Approach

Unlocking the Potential of Fintechs for Financial Inclusion: A Delphi-Based Approach

Risk Management and Knowledge Management as Critical Success Factors of Sustainability Projects

Developing a Model for Measuring Project Performance with Software Life Cycle Process Metrics and Calculating Project Success Score

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