The influential impact of business intelligence tools usage in establishing responsible business practices using knowledge management stages in the educational sector DOI Open Access
Hisham O. Mbaidin, Khaled Mohammad Alomari,

Nour Qassem Sbaee

et al.

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(8), P. 4904 - 4904

Published: Aug. 9, 2024

Business intelligence is crucial for businesses, from start-ups to multinationals. Examining the role and efficacy of business (BI) technologies in gathering, processing, evaluating data assist responsible management practices decision-making modern age, especially educational institutions. This study investigates impact Intelligence tools on Knowledge Management (KM) stages their subsequent influence Responsible Practices Outcomes sector United Arab Emirates. Using a quantitative research design, collected 406 faculty staff members across various UAE universities via structured survey. It analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed significant positive relationship between use BI Tools implementation KM Stages, indicating that utilization instrumental enhancing knowledge processes. However, direct effect Tools’ usage practices’ outcomes was insignificant, suggesting need mediating factor. Stages Implementation emerged as mediator, benefits are realized through Moderation analyses showed Institutional Culture, Training, Expertise significantly moderated Usage stage implementation, while Support did not have moderating effect. These findings highlight importance fostering an enabling institutional culture investing training expertise leverage full potential promoting settings. contributes literature technology adoption education provides practical implications administrators policymakers seeking integrate into practices.

Language: Английский

Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method DOI Creative Commons
Yi Wang, Weizhong Wang, Zelin Wang

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 664, P. 120326 - 120326

Published: Feb. 17, 2024

Sustainable food supplier selection (SFSS) can be handled as an uncertain decision-making issue. The Pythagorean fuzzy set (PFS), a type of non-standard set, offers expanded description space for articulating and data. Accordingly, this paper proposes synthetic decision method-based framework solving the SFSS problem within subjective context. Then, weighted distance measures PFS are introduced to derive importance degrees experts, which provide more objective result. information fusion method with PFS-weighted power average (WPA) operator is form group matrix competent accommodate deviation effect. Next, extended PF-measurement alternatives ranking according compromise solution (MARCOS) integrating PF-criteria through inter-criteria correlation (CRITIC) presented calculate priority each supplier, capture inter-correlations between criteria. Finally, numerical example implemented show application proposed approach. Subsequently, sensitivity analysis parameters comparison among different approaches were conducted test rationality advantages resolving problem. results that reported practical way resolve problems

Language: Английский

Citations

36
Evaluation and prioritization of artificial intelligence integrated block chain factors in healthcare supply chain: A hybrid Decision Making Approach DOI Creative Commons

Neda Seifi,

Erfan Ghoodjani,

Seyed Shabahang Majd

et al.

Computer and decision making., Journal Year: 2025, Volume and Issue: 2, P. 374 - 405

Published: Jan. 5, 2025

The integration of artificial intelligence and blockchain in healthcare promises a significant transformation data management, service quality improvement, increased patient security. Blockchain, by offering decentralized transparent platform, enhances the reliability security information. Meanwhile, intelligence, with its ability to analyse process data, helps identify patterns predict treatment outcomes. aim this study is Evaluation prioritization integrated factors supply chain using F-AHP F-DEMATEL. Following review previous studies, four criteria 23 sub-criteria were identified. In first step, these ranked method. second relationships among determined through F-DEMATEL, identifying causal effect criteria. results show that identified from "integration processes (C32)", "Provide fair (C31)", "health monitoring (C12)", "security medical (C34)", "clinical decision support (C21)" fifth, respectively. F-DEMATEL indicate are divided into categories, "stakeholder participation (C42)" "technology acceptance (C44)" being most important sub-criteria, while "monitoring (C15)" "patient-centered strategies (C22)" as sub-criteria. These findings suggest use AI-blockchain can lead improvements managing systems.

Language: Английский

Citations

11
Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators DOI Creative Commons
Muhammad Rizwan Khan, Kifayat Ullah, Ali Raza

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25368 - e25368

Published: Feb. 1, 2024

This article aims to introduce new aggregation operators (AOs) by assigning the positive real values known as priority degree among strict levels. To Develop complex T-spherical fuzzy (TSF) frank prioritized (CTSFFP) AOs, using t-norm (FTN) and t-conorm (FTCN) operational laws, also explain sum, product, power operations under TSF information. The set framework has a superior structure for uncertain data handling than an existing intuitionistic (FS), Pythagorean FS (PyFS), q-rung orthopair (q-ROFS), picture (PFS), spherical (SFS). Because of most generalized form IFS, PyFS, q-ROFS, PFS, SFS, it provides greater freedom decision experts information where these discussed sets fail aggregate ambiguous details. Utilizing idea degree, proposed AOs called CTSFFP weighted averaging (CTSFFPWA), ordered (CTSFFPOWA), hybrid (CTSFFPHWA), geometric (CTSFFPWG), (CTSFFPOWG), (CTSFFPHWG) operators. Some desirable properties such idempotency, monotonicity, boundedness, are discussed. show importance real-life problem multi-attribute decision-making (MADM) is solved with help developed CTSFFPWA CTSFFPWG enhance AOs' superiority, compare diagnosed theory give conclusions.

Language: Английский

Citations

10
Neutrosophic bipolar fuzzy decision-based approach for developing sustainable circular business model innovation tools DOI
A. A. Zaidan, Muhammet Deveci, Hassan A. Alsattar

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 189, P. 109966 - 109966

Published: Feb. 7, 2024

Language: Английский

Citations

9
A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic DOI Creative Commons
Ahmet Turan Demir, Sarbast Moslem

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108465 - 108465

Published: May 3, 2024

The coronavirus pandemic significantly increased the use of essential medical supplies, resulting in a surge waste generation. This has spurred extensive research into sustainable disposal methods for safe and environmentally responsible equipment management. Addressing this multifaceted issue falls within domain multi-criteria decision-making. study presents comprehensive framework selecting optimal treatment methods, considering economic, technological, environmental, social factors. is first to address problem technology using Fuzzy Dombi Bonferroni. mean operator combine expert opinions, fuzzy preference selection index method evaluate criteria compromise ranking alternatives from distance ideal solution rank alternatives. According weightings, dimension holds highest significance at 0.3217. Disinfection efficiency ranks as most critical criterion, weighing 0.0823. autoclave rated top technique, with utility function value 5.4579. Sensitivity analyses ensured stability reliability models. adaptability applied model practices such energy conversion, material recycling, resource recovery represents an aspect policymaking assessment can guide policy formulation or improvement processes disposal.

Language: Английский

Citations

9
A novel CODAS approach based on Heronian Minkowski distance operator for T-spherical fuzzy multiple attribute group decision-making DOI
Haolun Wang, Liangqing Feng, Muhammet Deveci

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 244, P. 122928 - 122928

Published: Dec. 27, 2023

Language: Английский

Citations

17
Evaluation of intelligent transportation system implementation alternatives in metaverse using a Fermatean fuzzy distance measure-based OCRA model DOI Creative Commons
Muhammet Deveci, Arunodaya Raj Mishra, Pratibha Rani

et al.

Information Sciences, Journal Year: 2023, Volume and Issue: 657, P. 120008 - 120008

Published: Dec. 16, 2023

The concept of the Metaverse, an immersive simulated world with parallels to reality, has gained significant prominence in recent times. Initially popularized through gaming, Metaverse is now poised infiltrate various aspects human life. Intelligent transportation systems represent a promising yet challenging domain for integration. Alternative implementations can create challenges different dimensions. A comprehensive evaluation that takes and opportunities dimensions into account required decision making process choosing best implementation method. This study presents development novel model, Fermatean Fuzzy Operational Competitiveness Rating (OCRA) which incorporates Distance Measure (FF-DM) Relative Closeness Coefficient (FF-RCC) techniques. model tested case rank three alternative approaches, considering criteria four key dimensions: managerial, safety, user, urban mobility. In first stage, FF-DM FF-RCC-based tool employed determine weights. second enhanced version OCRA utilizing FF-RCC, alternatives. findings indicate policymakers' decisions traffic management hold potential shape trajectory movement, representing unparalleled opportunity implications extend beyond our current comprehension.

Language: Английский

Citations

16
Fuzzy Soft Topological Numbers with an Operation of Vertex Deletion: A Comparative Study with TOPSIS Method and Its Application in Car Import Decision-making DOI

Shabana Anwar,

Muhammad Kamran Jamil,

Muhammad Azeem

et al.

Cognitive Computation, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 14, 2024

Language: Английский

Citations

5
Supplier selection of companies providing micro mobility service under type-2 neutrosophic number based decision making model DOI
İsmail Önden, Muhammet Deveci, Karahan Kara

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 245, P. 123033 - 123033

Published: Dec. 29, 2023

Language: Английский

Citations

10
Intelligent characteristic objects method (INCOME): a data knowledge-based multi-criteria decision analysis DOI Creative Commons
Bartłomiej Kizielewicz, Andrii Shekhovtsov, Jakub Więckowski

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Aug. 26, 2024

Abstract Multi-criteria decision analysis (MCDA) methods are vital in assessing variants under multiple conditions. However, involving domain experts developing models can be challenging and costly, necessitating more scalable independent solutions. This paper introduces the intelligent characteristic objects method (INCOME), which combines k-Nearest Neighbor (kNN) algorithm COMET to create a theoretical decision-maker for comparing (COs). INCOME overcomes limitations of classical MCDA methods, such as TOPSIS approach, struggles with complex functions non-monotonic modeling. influences data-based knowledge provide robust framework options. The integration kNN enables improved modeling based on evaluated data, increasing flexibility independence approach. A case study gas power plants four criteria is presented validate performance method. results demonstrate high correlations reference model slightly higher approaches like TOPSIS-COMET. exhibits greater stability by utilizing all available data instead relying limited expert knowledge. proposed approach offers several advantages, including creating continuous model, resistance Rank-Reversal phenomenon, potential replacing artificial experts. highlights effectiveness Multi-Criteria Decision Analysis. It suggests future research directions, parameter selection testing different decision-making problems.

Language: Английский

Citations

4