A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement

Tadić, Danijela; Arsovski, Slavko; Aleksić, Aleksandar; Stefanović, Miladin; Nestić, Snežana

doi:10.1007/978-3-319-17906-3_22

Cited by 8 publications

(13 citation statements)

References 44 publications

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“… There is a need for well-structured management teams. Projects for business process quality improvement Sample: 60 SMEs' projects (illustrative) ( Tadić et al., 2015 ) Model for evaluating project success Principal Component Analysis (PCA); Fuzzy Neural Network (FNN) It provides a reliable and credible way to evaluate success and enhances work efficiency. It provides a reliable method for post-evaluation.…”

Section: Resultsmentioning

confidence: 99%

Models and methods for information systems project success evaluation – A review and directions for research

Varajão¹,

Lourenço²,

Gomes³

2022

Heliyon

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Section: Resultsmentioning

confidence: 99%

Models and methods for information systems project success evaluation – A review and directions for research

Varajão¹,

Lourenço²,

Gomes³

2022

Heliyon

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“…The proposed strategy was used to assess the criteria for wealth management bank selection and rank them according to their importance [91,92]. The TOPSIS is characterized by the comparability to a positive-ideal course of action and the remoteness from a negativeideal course of action [93][94][95][96][97][98][99]. This strategy is appropriate for understanding the decisionmaking issue in a fuzzy environment.…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

An Assessment Model for Wealth Management Banks Based on the Fuzzy Evaluation Method

Sun

2021

Mathematics

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COVID-19 has led people to question numerous aspects of life, including family budgetary arrangements and wealth management. The COVID-19 pandemic has thrown many of us a financial curveball. Managing personal finances is important, particularly during a crisis, such as the COVID-19 pandemic. Although the economic consequences are evident, financially induced stress caused by uncertainty is less visible. Individual wealth increments and firm size measures have brought a commensurate increment in their respective resources. Thus, monitoring these resources and coordinate investment exercises is necessary to preserve resource development. The best method to improve wealth management banks is to consider competitive preferences by designating a set of wealth management bank selections to oversee individuals’ wealth viably. This paper provides a step-by-step assessment guide for wealth management banks using multiple-criteria decision-making to illustrate the appropriateness of the proposed technique. We found that the two primary aspects of wealth management bank evaluations are transaction safety and professional financial knowledge. The proposed approach is relatively straightforward and appropriate for such key decision-making issues.

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“…Based on literature, the seven categories can be used at most. In this research, the five have been employed TFNs by analogy [11,33].…”

Section: Modeling By Using Fstmentioning

confidence: 99%

The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method

Nestić

Aleksić

Lafuente

et al. 2022

Mathematical Problems in Engineering

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As the only constant in business is change, business transformation is essential for adopting new perspectives and business trends. One of the keys to performing successful business transformation is to be fully aware of the current components of the business model. This research aims to allocate the business model components (BMCs) to defined business model components groups (BMCGs) by developing a new approach that integrates fuzzy sets and heuristic algorithms. The allocation results enable a comprehensive analysis of business model frameworks and give a good connection to research in the domain of strategic management and business process modeling. For allocation, the decision-makers (DMs) are employing the linguistic terms modeled by the fuzzy sets theory. The considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. The model is tested on a sample of forty experts from four different economic sectors.

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A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement

Cited by 8 publications

References 44 publications

Models and methods for information systems project success evaluation – A review and directions for research

Models and methods for information systems project success evaluation – A review and directions for research

An Assessment Model for Wealth Management Banks Based on the Fuzzy Evaluation Method

The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method

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