Search Results - subject_exact:"Algorithmus"

Innovation, crude oil prices, fossil fuel energy consumption and climate sustainability in Egypt : using the gradient boosting machine learning algorithm

Selmeya, Mousa Gowfal; Kammoun, Ali Abdelbasset; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015617367

Engineered precarities : algorithmic management in data work and content moderation

2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655190

Improving the sampling strategy for the community innovation survey using machine learning algorithms

Klingwort, Jonas; Berkel, Kees van; Brakel, Jan A. van den - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015619569

Algorithm aversion in prosocial tasks : evidence from AI-Based performance evaluation

Abel, Martin; Dawi, Raghad S.; Lenk, Tyler; Singer, Aidan - 2026

How do workers respond when artificial intelligence replaces human judgment in evaluating prosocial work? Partnering with a non-profit addressing food insecurity, we recruit 1,491 U.S. volunteers to write fundraising messages and cross-randomize evaluation by humans versus AI and the presence of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655579

A simheuristic-based algorithm for the stochastic long-term maintenance scheduling problem

Coelho, Diego G.; Souza, Marcone J. F.; Cota, Luciano P. - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015459126

Insuring algorithmic operations : liability risk, pricing, and risk control

Liu, Zhiyong John; Park, Jin; Wang, Mengying; Wen, He - 2026

Businesses increasingly rely on algorithmic systems and machine learning models to make operational decisions about customers, employees, and counterparties. These "algorithmic operations" can improve efficiency but also concentrate liability in a small number of technically complex, drifting...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614146

Convergence rates for the alternating minimization algorithm in structured nonsmooth and nonconvex optimization

Bento, Glaydston de C.; Morduchovič, Boris S.; Mota, … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614392

Randomized algorithms and neural networks for communication-free multiagent singleton set cover

He, Guanchu; Hill, Colton; Seaton, Joshua H.; Brown, … - 2026

This paper considers how a system designer can program a team of autonomous agents to coordinate with one another such that each agent selects (or covers) an individual resource with the goal that all agents collectively cover the maximum number of resources. Specifically, we study how agents...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015615288

When algorithms rate performance : do large language models replicate human evaluation biases?

Rilke, Rainer Michael; Sliwka, Dirk - 2026 - January 2026 (updated version)

A large body of research across management, psychology, accounting, and economics shows that subjective performance evaluations are systematically biased: ratings cluster near the midpoint of scales and are often excessively lenient. As organizations increasingly adopt large language models...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015589699

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When algorithms rate performance : do large language models replicate human evaluation biases?

Rilke, Rainer Michael; Sliwka, Dirk - 2026

Book / Working Paper

Employee comfort with AI-Driven algorithmic decision-making : evidence from the GCC and Lebanon

El Achi, Soha; Aoun, Dani; Lahad, Wael; Al Maalouf, … - 2026

In this digital era, many companies are integrating new solutions involving Artificial Intelligence (AI)-based automation systems to optimize processes, reach higher efficiency, and help them with decision-making. While implementing these changes, various challenges may arise, including...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015615424

Multi-objective integrated sustainable supply chain scheduling with environmentally friendly and time windows freight transportation

Ganjia, Maliheh; Rabet, Rahmat; Sajadi, Seyed Mojtaba; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015593421

Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs

Qu, Shiyuan; Dong, Fenglian; Wei, Zhiwei; Shang, Chao - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015552389

A unified gradient projection algorithm for solving both discrete and continuous multiclass bi-criteria traffic assignment problems

Li, Zhengyang; Xu, Zhandong; Li, Guoyuan; Chen, Anthony - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015552437

Linear formulations and a hybrid large neighborhood search algorithm for the tool indexing problem

Atta, Soumen - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015552989

Dual-driven path elimination for vehicle routing with idle times and arrival-time consistency

Riera-Ledesma, Jorge; Rodríguez-Martín, Inmaculada; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015552998

Machine learning-enriched distributionally robust optimization and hybrid decomposition to joint optimization of transportation hub network design and pricing

Shekarabi, Ashkan Hosseini; Kiani Mavi, Reza; Macau, … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015553007

It's not my responsibility : working with autonomy-restricting algorithms facilitates unethical behavior and displacement of responsibility

Jolly, Anupama A.; Dunlop, Patrick D.; Parker, Sharon K.; … - 2026

While algorithmic decision-making technology can greatly improve efficiency at work, it has the potential to promote unethical decision making in humans who work with the technology. In this paper, we test how the moral disengagement mechanism, displacement of responsibility arises, as an...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015586915

Ranking for engagement : how social media algorithms fuel misinformation and polarization

Germano, Fabrizio; Gómez, Vicenç; Sobbrio, Francesco - 2026 - Original version: October 2024, this version: February 2026

Social media are at the center of countless debates on polarization, misinformation, and even the state of democracy in various parts of the world. An essential feature of social media is their recommendation algorithm that determines the ranking of content presented to the users. This paper...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015605008

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Ranking for engagement : how social media algorithms fuel misinformation and polarization

Germano, Fabrizio; Gómez, Vicenç; Sobbrio, Francesco - 2025

Book / Working Paper

Ranking for engagement : how social media algorithms fuel misinformation and polarization

Germano, Fabrizio; Gómez, Vicenç; Sobbrio, Francesco - 2025

Book / Working Paper

Smart energy strategies for dynamic EV charging and renewable integration in distribution systems : a multi-objective optimization framework

Yuvaraj, T.; Krishnamoorthy, R.; Arun, S.; Bajaj, Mohit; … - 2026

The accelerating penetration of electric vehicles (EVs) is reshaping modern distribution networks by introducing substantial, time-varying charging demand and new operational uncertainties. At the same time, Vehicle-to-Grid (V2G) capable EVs offer unprecedented flexibility to support grid...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015605065

Systematic literature mapping : integrated system of logistic distribution for island

Suswaini, Eka; Wibowo, Mochamad Agung; Jie, Ferry - 2026

Effective management of fuel logistic distribution is essential for ensuring timely supply chain operations and achieving product sustainability. This study employs systematic literature mapping (SLM) to identify gaps in research and potential advancements in Supply Chain Management (SCM) for...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015627298

Gradient extremals, talwegs, valleys, and directional alignment for generic gradient descent

Bégout, Pascal; Bolte, Jérôme; Mariotti, Thomas; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015637952

Dynamic recommendation bias

Drugov, Mikhail; Jeon, Doh-Shin - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639223

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Dynamic recommendation bias

Drugov, Mikhail; Jeon, Doh-Shin - 2026 - This version: April 29, 2026

Edition: This version: April 29, 2026

Book / Working Paper

Algorithmic "collusion" and the application of article 101 TFEU : can an agreement exists without a concurrence of wills?

Oliveira e Costa, Guilherme - 2026

Algorithms pose interesting challenges to competition law, particularly discussing which practices involving this fast-paced technologies may or should be caught under Article 101 of the Treaty on the Functioning of the European Union ("TFEU"). As AI-driven pricing algorithms become increasingly...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639084

Posterior probabilities of dominance for wealth distributions

Griffiths, William E.; Duangkamon Chotikapanich - 2026

Probability distributions, which are typically used to describe income distributions, are not suitable to describe a population's distribution of wealth because of the existence of negative observations and a large concentration of values close to zero. To overcome these problems, we describe...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640527

Using subspace algorithms for the estimation of linear state space models for over-differenced processes

Bauer, Dietmar - 2026

Subspace algorithms like canonical variate analysis (CVA) are regression-based methods for the estimation of linear dynamic state space models. They have been shown to deliver accurate (consistent and asymptotically equivalent to quasi-maximum likelihood estimation using the Gaussian likelihood)...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640549

A machine learning and evolutionary optimization framework for carbon-aware supply chain routing

Sánchez-Pravos, Lorena; Parra-Domínguez, Javier; … - 2026

The increasing urgency of carbon footprint reduction in supply chain operations demands innovative optimization approaches that balance economic efficiency with environmental sustainability. This paper presents a novel carbon-aware route optimization framework that integrates machine...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640958

Particle swarm optimization with stretching and clustering for asset allocation

Chevallier, Julien - 2026

This paper develops a novel hybrid framework that integrates clustering-enhanced Particle Swarm Optimization (PSO) with stretching techniques to solve Markowitz's quadratic portfolio optimization problem. The proposed approach avoids local optima traps that plague traditional optimization...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015643109

A Majorization-Minimization gLASSO framework for SETAR models : theory, simulation, and application to PM2.5 data

Safira, Dinda Ayu; Kuswanto, Heri; Ahsan, Muhammad; … - 2026

This study proposes an optimized estimation approach for Self-Exciting Threshold Autoregressive (SETAR) models by integrating the Majorization-Minimization Group Least Absolute Shrinkage and Selection Operator (MM-gLASSO) algorithm, with a primary focus on improving forecasting performance in...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015644048

Quantum computing for supply chain optimization : algorithms, hybrid frameworks, and industry applications

Fedouaki, Fayçal; Fri, Mouhsene; Douaioui, Kaoutar; … - 2026

Background: This paper investigates hybrid quantum-classical optimization approaches for addressing core supply chain management (SCM) problems. A unified hybrid framework is implemented and evaluated across five representative domains: vehicle routing, scheduling, facility location, inventory...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015647566

Benchmarking bilevel derivative-free optimization algorithms

Audet, Charles; Dijon, Valentin; Diouane, Youssef - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015650830

Sequential solution for DSGE models with deep neural networks

Ferrari, Massimo Minesso; Frenzel, Carla - 2026

This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model's policy functions across four progressive phases: steady-state anchoring, exploration around the steady...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015650845

Decision-making when computational complexity drives uncertainty

Bossaerts, Peter L. - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015652504

Algorithmic decision-making in organizations : a systematic review toward an integrated tension alignment framework

Wang, Yinying - 2026

Organizations increasingly employ algorithms to support or automate decision-making processes across various functions, such as personnel performance evaluation, resource allocation and strategic planning. Despite growing research interest, the literature on algorithmic decision-making (ADM)...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015652619

A machine learning framework for surrogate modeling and benchmarking in dynamic job shop scheduling

Soares, Guilherme Monteiro; Vieira, António A. C.; … - 2026

In dynamic job shop scheduling, simulation has long been a crucial tool for analyzing complex, time-dependent production systems under uncertainty and variability, both as a standalone decision-making tool and as a component of more complex simulation-optimization methods. However, the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654249

Solving the strip packing problem with a decomposition framework and a generic solver : implementation, tuning, and reinforcement-learning-based hybridization

Akçay, Fatih Burak; Delorme, Maxence - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015543035

An optimization-based algorithm for fair and calibrated synthetic data generation

Burgard, Jan Pablo; Pamplona, João Vitor; Pinheiro, … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015558909

Generic machine-learning-augmented beam search for resource-constrained shortest path reformulations of combinatorial optimization problems

Yan, Fulin; Clautiaux, François; Froger, Aurélien; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015558929

Human trust in AI : evidence from experimental economics

Irlenbusch, Bernd - 2026

Artificial intelligence increasingly shapes economic decisions, yet its value depends on whether humans rely on it appropriately. This survey selectively reviews experimental economic evidence (2020 - 2026) on trust in AI, with a focus on privacy, transparency, accountability, fairness, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654943

Algorithmic ethics in corporate contexts : knowledge mapping for responsible management

Barreno-Alcalde, Santiago; Delso-Vicente, Alberto-Tomas; … - 2026

The incorporation of algorithmic systems into organizations is reconfiguring decision-making processes and raising new ethical challenges related to transparency, impartiality, and accountability. This study maps the field of algorithmic ethics in organizational contexts through a...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015665650

Algorithmically managing risk and the risk of managing algorithms in Australian homecare : a managerial perspective

Sullivan, Rick; Hamilton, Myra; Veen, Alex - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015666655

Triple A : how analytics, AI, and algorithms are improving inventory management in healthcare

Johnson, Laquanda Leaven; Ebakivie, Oghenetejiri - 2026

Background: Healthcare inventory management is critical for ensuring timely access to supplies and reducing stockouts. As supply chains grow more complex, algorithms, AI, and analytics techniques have emerged as tools for forecasting, tracking, classification, and procurement. Yet empirical...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015666833

Persistence in Consumption Across Europe: Evidence Using Fractional Integration

Lopez, Gema; Gil-Alaña, Luis A. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015419693

The economics of professional decision-making : can artificial intelligence reduce decision uncertainty?

MacLeod, William Bentley - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015617092

Bounds and heuristic algorithms for the bin packing problem with minimum color fragmentation

Barkel, Mathijs; Delorme, Maxence; Malaguti, Enrico; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015085085

Addressing the multiplicity of optimal solutions to the Clonal Deconvolution and Evolution Problem

Tellaetxe-Abete, Maitena; Lawrie, Charles H.; Calvo, Borja - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015085377

Clustered vehicle routing problem for waste collection with smart operational management approaches

Kim, Jungmin; Manna, Apurba; Roy, Arindam; Moon, Ilkyeong - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015142197

Sourcing algorithms : rethinking fairness in hiring in the era of algorithmic recruitment

Alexander, Leo; Song, Q. Chelsea; Hickman, Louis; Shin, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015144050

Post hoc explanations improve consumer responses to algorithmic decisions

Mourali, Mehdi; Novakowski, Dallas; Pogacar, Ruth; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015149291

Iterative refinement of the QZ decomposition for solving linear DSGE models

Huber, Johannes; Meyer-Gohde, Alexander - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015466989

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Iterative refinement of the QZ decomposition for solving linear DSGE models

Huber, Johannes; Meyer-Gohde, Alexander - 2025

Book / Working Paper

A Smart optimization model for reliable signal detection in financial markets using ELM and blockchain technology

Kumar, Deepak; Pawar, Priyanka Pramod; Addula, Santosh Reddy - 2025

This study proposes a novel approach to improve the reliability of trading signals for gold market prediction by integrating technical analysis indicators, Moving Averages (MAs), MACD, and Ichimoku Cloud, with a Particle Swarm-Optimized Extreme Learning Machine (PSO-ELM). Traditional time-series...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015548924