Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

Sustainable Operations and Computers, Journal Year: 2023, Volume and Issue: 4, P. 200 - 218

Published: Jan. 1, 2023

The e-commerce industry has seen significant growth over the past decade as it focuses on convenience and accessibility, leading to a surge in online shopping with more consumers opting for it. At same time, faces various challenges. In order fully harness potential of this industry, is important identify its benefits challenges focus pathways mitigate growth. This study utilizes Delphi approach involves experts from domain get their opinions top ten benefits, challenges, industry. Analytic Hierarchy Process (AHP) Criteria Importance Through Intercriteria Correlation (CRITIC) methods are subsequently, employed prioritize identified factors. Results revealed that factors such affordable advertising & marketing; availability product variety; Global reachability most while technological upgradation; returns or refunds; counterfeit products posed greatest Government compliance check; better relationship delivery partners; strong data privacy security policies emerged best pathways. also provides valuable insights businesses, policymakers, researchers how navigate rapidly growing sector.

Language: Английский

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Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets

Annals of Operations Research, Journal Year: 2023, Volume and Issue: 342(2), P. 1193 - 1233

Published: June 17, 2023

Abstract Metaverse is a new technology expected to generate economic growth in Industry 5.0. Numerous studies have shown that current bitcoin networks offer remarkable prospects for future developments involving metaverse with anonymity and privacy. Hence, modelling effective 5.0 platforms the network crucial environment. This process can be classified as multiple-attribute decision-making given three issues: existence of multiple privacy attributes, uncertainty related relative importance these attributes variability data. The present study endeavours combine fuzzy weighted zero inconsistency method Diophantine linear sets multiobjective optimisation based on ratio analysis plus multiplicative form (MULTIMOORA) determine ideal approach implementation decision matrix built by intersecting 22 support 5.0's environment 24 evaluation attributes. proposed further developed ascertain level These data are used MULTIMOORA. A sensitivity analysis, correlation coefficient test comparative performed assess robustness method.

Language: Английский

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Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework

Information Sciences, Journal Year: 2023, Volume and Issue: 649, P. 119681 - 119681

Published: Sept. 7, 2023

Language: Английский

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Developing sustainable management strategies in construction and demolition wastes using a q-rung orthopair probabilistic hesitant fuzzy set-based decision modelling approach

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 145, P. 110606 - 110606

Published: July 13, 2023

Sustainable management of construction and demolition wastes (CDWs) has become a pressing global issue in social, environmental economic contexts, it involves complex technological, engineering, regulatory challenges. Recently, many CDW strategies have been developed based on the barrier attributes reuse distribution. However, no strategy can simultaneously address all Furthermore, research assessed modelled identified to determine optimality. On this basis, presence multiple attributes, varying attribute priority wide range data allow for modelling under multiple-attribute decision-making (MADM) problems. This study develops fuzzy-weighted zero inconsistency (FWZIC) fuzzy decision by opinion score method (FDOSM)-based multiplicative objective optimisation ratio analysis (MULTIMOORA) with q-rung orthopair probabilistic hesitant set (q-ROPHFS) problem. The q-ROPHFS–FWZIC prioritised weighted main sub-barrier distribution strategies. q-ROPHFS–FDOSM is used Then, MULTIMOORA model 51 optimum one. Results showed that Strategy 46 first six q values because had most essential (i.e. cost, market, value-for-money, experience, infrastructure, management, risk trust). 17 20 are least sustainable they only one experience). Sensitivity analysis, systematic comparison conducted validate evaluate stability robustness proposed methods. implications would likely benefit various stakeholders involved industry, including companies, architects, engineers, policy-makers members public.

Language: Английский

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Evaluation and Prioritization of Sustainable Enterprise Resource Planning in SMEs Using q-Rung Orthopair Fuzzy Rough Set-Based Decision Support Model

IEEE Transactions on Fuzzy Systems, Journal Year: 2024, Volume and Issue: 32(5), P. 3260 - 3273

Published: March 21, 2024

The firm requires multidisciplinary services, incorporated efforts and appropriate information to utilize effective sustainable enterprise resource planning systems (S-ERPSs). With the suitable S-ERPS, it is easy give coordination between items, reduce waste take quicker better decisions. Implementation of an S-ERPS one major investment decisions for any firm, thus, selection attention from experts. Due involvement several aspects sustainability, process can be considered as a complex uncertain multicriteria decision making problem. aim this article develop four-stage hybrid support system (DSS) by integrating symmetry point criterion (SPC), ranking comparison (RANCOM) multiattribute multiobjective optimization based on ratio assessment (MULTIMOORA) approaches with q-rung orthopair fuzzy rough set (q-ROFRS), named q-ROFR-SPC-RANCOM-MULTIMOORA. underlying DSS consists four main stages: new q-ROFR-Hamacher aggregation operators are developed aggregate q-ROFRSs; q-ROFR-score rating rank sum model given find significance weights experts; integrated q-ROFR-SPC-RANCOM determine sustainability dimensions criteria S-ERPSs; q-ROFR-MULTIMOORA presented evaluate S-ERPSs. To exhibit feasibility DSS, case study discussed in small medium sized enterprises (SMEs). effectively prioritized options recognized using obtained various SMEs. In article, evaluation categorized into social, environmental economic expert's opinions. results indicate that cost, grievance mechanisms technical requirements most factors SAP ERP alternative among others. robustness superiority evaluated means sensitivity comparative analyses. It provides us very useful approach MADM environment.

Language: Английский

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Assessment of digital transformation indicators to prioritize sustainable financial services using q-rung orthopair fuzzy rough decision-making model

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112715 - 112715

Published: Jan. 1, 2025

Language: Английский

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An integrated design concept evaluation method based on fuzzy weighted zero inconsistency and combined compromise solution considering inherent uncertainties

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103097 - 103097

Published: Jan. 21, 2025

Language: Английский

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Enhanced Risk Assessment Framework for Complex Maritime Traffic Systems via Data Driven: A Case Study of Ship Navigation in Arctic

Reliability Engineering & System Safety, Journal Year: 2025, Volume and Issue: unknown, P. 110991 - 110991

Published: March 1, 2025

Language: Английский

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Determining the superiority of a robust cloud fault tolerance mechanism using a spherical cubic fuzzy set-based decision approach

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 148, P. 110402 - 110402

Published: March 11, 2025

Language: Английский

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Pythagorean Fuzzy Rough Decision-based Approach for Developing Supply Chain Resilience Framework in the Face of Unforeseen Disruptions

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100837 - 100837

Published: March 1, 2025

Language: Английский

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