Search Results - subject_exact:"Nachfragestruktur"

A demand systems analysis of energy sources in the United States

Bakhtavoryan, Rafael - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617010

Long-term consumer selection strategies for a heterogeneous consumer base when demand depends on purchase and advertising histories

Nordemann, Oliver; Schlosser, Rainer - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015459135

Tourism demand forecasting in normal and crisis times : combining bootstrap-aggregating and bayesian approaches

Liu, Xinyang; Liu, Anyu; Chen, Jason Li; Li, Gang; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604461

Have we got news for you : theory and evidence on firms' optimal expected capacity utilization

Amberg, Niklas; Friberg, Richard; Liu, Xiang; Syverson, Chad - 2026

We use quarterly micro data on capacity utilization among Swedish manufacturing firms to show that idiosyncratic factors are more important than aggregate influences in explaining variation in capacity utilization across firms and over time. Idiosyncratic does not mean unpredictable, however. A...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654782

Transitory shocks and consumption dynamics : pent-up demand or hand-to-mouth?

Brown, Martin; Hamoud, Mohamed; Toczynski, Jan - 2026 - This version: May 2026

We examine the recovery of U.S. consumer spending following the COVID-19 recession using monthly transaction data for over 34,000 individuals. We find limited evidence that cutbacks in spending on in-person services or durables during the recession generated pent-up demand. Instead, spending...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654807

Perishable inventory management under inventory level- and freshness-dependent demand and backroom effect

Senyuva, Ilgin Efe; Drent, Melvin; Atan, Zumbul - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605917

Demand and supply linkages in exporting multiproduct firms

Eckel, Carsten; Flach, Lisandra; Meng, Ning - 2026

Products produced by multiproduct firms can be linked through demand linkages (cannibalization), supply linkages (joint production), or both. We analyze how these within-firm linkages shape the propagation of shocks - such as tariffs - across products and markets and affect firm performance...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609872

An analytics-driven hybrid method for multi-item demand forecasting in supply chains

Lingkon, Md. Limonur Rahman; Hossain, Md. Sanowar; … - 2026

This study proposes a new deep learning (DL)-based approach for multi-item demand forecasting in multi-wave distribution networks. In modern merchandising supply systems, traditional forecasting techniques such as moving averages and autoregressive integrated moving average (ARIMA) models are...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640893

Omnichannel supply chains amid demand shocks : a centralized hierarchical reinforcement learning framework

Giannopoulos, Panagiotis G.; Dasaklis, Thomas K. - 2026

Background: The rapid evolution of omnichannel retailing has reshaped retail supply chains (SCs) by coupling replenishment, fulfillment, and service decisions across multiple demand channels under inventory, lead-time, and capacity constraints. These interdependencies create coordination...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647668

The water-energy nexus in the Saudi agriculture sector : demand forecasts and policy implications

Javid, Muhammad; Elshurafa, Amro - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611082

The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613599

Show one more version 1

The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2023

Book / Working Paper

Street green space and electricity demand : Evidence from metered consumption data

Falchetta, Giacomo; De Cian, Enrica; Lunghi, Jacopo - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015650887

The effect of demand uncertainty on the optimal capacity mix of a wholesale electricity market

Milstein, Irena; Tishler, Asher; Woo, Chi-keung - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015632198

Demand Shocks in Equity Markets and Firm Responses

Broner, Fernando; Cortina, Juan J.; Schmukler, Sergio L.; … - 2026

This paper examines how shifts in investor demand influence firm financing and investment decisions. For identification, the paper exploits a large-scale MSCI methodo logical reform that mechanically redefined the stock weights in major international equity benchmark indexes, changing the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613906

Demand response control structure in imperfectly competitive power markets : independent or integrated?

Ancel, Julien - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015632313

Demand estimation with text and image data

Compiani, Giovanni; Morozov, Ilya; Seiler, Stephan - 2026 - Original Version: October 2024, This Version: March 2026

We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre-trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model. This approach enables demand...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614346

Show 3 more versions 3

Demand estimation with text and image data

Compiani, Giovanni; Morozov, Ilya; Seiler, Stephan - 2025 - Original version: October 2024, this version: November 2025

Edition: Original version: October 2024, this version: November 2025

Book / Working Paper

Demand estimation with text and image data

Compiani, Giovanni; Morozov, Ilya; Seiler, Stephan - 2023

Book / Working Paper

Demand estimation with text and image data

Compiani, Giovanni; Morozov, Ilya; Seiler, Stephan - 2023

Book / Working Paper

From prediction to insight : understanding drivers of UK tourism demand with machine learning

Dimitriadou, Athanasia; Papadimitriou, Theophilos; … - 2026

This study forecasts inbound tourism demand for the United Kingdom, using monthly data from February 1989 to February 2020. In the empirical analysis, we evaluate and compare the performance of five machine learning models (decision trees, random forests, XGBoost, and support vector regression...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633850

AI images, labels and news demand

Adena, Maja; Alabrese, Eleonora; Capozza, Francesco; … - 2026

We test whether AI-generated news images affect outlet demand and trust. In a preregistered experiment with 2,870 UK adults, the same article was paired with a wireservice photo (with/without credit) or a matched AI image (with/without label). Average newsletter demand changes little. Ex-post...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015595145

Show 2 more versions 2

AI images, labels and news demand

Adena, Maja; Alabrese, Eleonora; Capozza, Francesco; … - 2025

Book / Working Paper

AI images, labels and news demand

Adena, Maja; Alabrese, Eleonora; Capozza, Francesco; … - 2025

Book / Working Paper

The distributional consequences of tax pass-through : the case of Germany's fuel tax discount

Frondel, Manuel; Thiel, Patrick; Vance, Colin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015560505

Cooling the Kingdom : long-term impacts of climate change on electricity demand and household expenditure in Saudi Arabia

Ilyas, Ansir; Kamboj, Puneet; Alswaina, Fahad; Shetty, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015579020

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://ebvufind01.dmz1.zbw.eu/10015666833

On- and off-chain demand and supply drivers of Bitcoin price

Ciaian, Pavel; Kancs, D'Artis; Rajcaniova, Miroslava - 2026

Around three quarters of Bitcoin transactions take place off-chain. Despite their significance, the vast majority of the empirical literature on cryptocurrencies focuses on on-chain transactions. This paper presents one of the first analysis of both on- and off-chain demand- and supply-side...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604695

Simulation studies on the impact of using demand forecasts based on deep neural networks for inventory replenishment efficiency

Krzyżaniak, Stanisław; Cyplik, Piotr; Bartkowiak, Marcin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670479

Understanding cost pass-through when prices are dispersed

Garrod, Luke; Li, Ruochen; Russo, Antonio; Wilson, … - 2026 - Original version: January 2025, this version: February 2026

There is limited theoretical understanding of cost pass-through in markets where prices are dispersed. This paper analyzes cost pass-through within a framework that encompasses many models in the price dispersion literature where consumers vary in the number of firms they consider. We...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605029

Show one more version 1

Understanding cost pass-through when prices are dispersed

Garrod, Luke; Li, Ruochen; Russo, Antonio; Wilson, … - 2025

Book / Working Paper

A machine learning approach to determining factors influencing passenger rail traffic

Budzyński, Artur; Kamiński, Wojciech - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670520

Nonparametric identification of demand without exogenous product characteristics

Borusyak, Kirill; Chen, Jiafeng; Hull, Peter; Lei, Lihua - 2026

We study identification of differentiated product demand from marketlevel data when product characteristics can be endogenous. Past work suggests nonparametric identification may be impossible: that is, in addition to standard price instruments, exogenous characteristic-based instruments are...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606693

Show 2 more versions 2

Nonparametric Identification of Demand without Exogenous Product Characteristics

Borusyak, Kirill; Chen, Jiafeng; Hull, Peter; Lei, Lihua - 2026

Book / Working Paper

Nonparametric identification of demand without exogenous product characteristics

Borusyak, Kirill; Chen, Jiafeng; Hull, Peter; Lei, Lihua - 2026

Book / Working Paper

Hierarchical neural additive models for interpretable demand forecasts

Feddersen, Leif; Cleophas, Catherine - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015668064

Un sistema de proyección de demanda por efectivo en Chile: actualización y propuesta

Leiva, Nicolás; Medel, Carlos A. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015625299

Evaluation and role of industrial demand response in Saudi Arabia

Petitet, Marie; Wachon, Sandrine; Khedim, Koceyla - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015637822

Modeling the impact of demand, supply, and budget constraints on consumer preferences

Fidler, Julia; Matysiak, Łukasz - 2026

Mathematical risk modeling in a market economy has become a key tool for analyzing consumer behavior under conditions of unstable prices and shifting supply. In this study, we combine Paul Samuelson's classical theory of revealed preferences with dynamic demand and supply mechanisms, using...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015667474

Zebra-SparseEchoNet : a hybrid transformer-based Echo State Network optimized with the Zebra algorithm for smart logistics demand forecasting

Al Mutairi, Sultan M. M.; Smida, Jamel; Bose, Anandh … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670280

Off-peak charging incentives for electric vehicles: experimental evidence from South Korea

Woo, David; Kim, Yeong Jae; Park, David Sungho; Han, Sangwoo - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640066

Demand for conversational AI

Ash, Elliott; Capozza, Francesco; Galletta, Sergio - 2026

We estimate demand for five conversational AI use cases - administrative assistance, studying, wellness, friendship, and romance - using a preregistered, within-respondent conjoint experiment in a U.S. online sample (N=1,989). Purpose dominates interest: instrumental uses rank highest, romance...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015641779

Forecasting post-pandemic tourism demand : random forests and calendar variables

Reichold, Karsten - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015673246

Credit and demand for green energy : evidence from small firms in Kenya

Zhang, Jiayue; Shu, Yunyu; Oluoch, Wycliffe - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015643440

Smart metering and demand response : analyzing the relationship with current electricity consumption in Korea

Chang, Yenjae; Kim, Dae-Wook; Kim, Man-Keun - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672612

Strategic and price-dependent responses to opt-in time-of-use tariffs : evidence from Jeju Island, Korea

Choo, Dahae; Jang, Heesun; Kim, Jihyo - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015547071

Predicting shock propagation and uncovering heterogeneity with graph neural networks

Arata, Yoshiyuki - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655641

Different specifications and implications of the supermultiplier model

Pérez-Montiel, José A.; Sansó, Andreu - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654681

Securing India's midstream capacity by processing critical minerals overseas

Chhillar, Anika - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015650856

Service-level anchoring in demand forecasting : the moderating impact of retail promotions and product perishability

Fahimnia, Ben; Tan, Tarkan; Tahirov, Nail - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015440559

Neural demand estimation with habit formation and rationality constraints

Grzeskiewicz, Marta - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652614

If you build it, they may not come : willingness to participate in managed EV charging

Burlig, Fiona; Bushnell, James B.; Rapson, David - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653630

Forecast value added in demand planning

Fildes, Robert; Goodwin, Paul; Baets, Shari de - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015440577

Gravity and trade in video on demand services

Broocks, Annette; Studnicka, Zuzanna - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015485738

Show 3 more versions 3

Gravity and trade in video on demand services

Broocks, Annette; Studnicka, Zuzanna - 2021

Book / Working Paper

Gravity and trade in video on demand services

Broocks, Annette; Studnicka, Zuzanna - 2021

Book / Working Paper

Gravity and Trade in Video on Demand Services

Broocks, Annette; zuzanna., Zuzanna - 2022

Book / Working Paper

Investment in demand and dynamic competition for customers

Hubmer, Joachim; Nord, Lukas - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653797

Assessing integration orders for SARIMA modeling A hypothesis testing approach with information criterion hyperparameter selection, case of predicting gas consumption in central Tunisia

Slimane, Mohamed; Bedioui, Neila; Besbes, Mongi - 2025

Forecasting natural gas demand is critical for enhancing energy efficiency, optimizing infrastructure planning, and supporting Tunisia's transition toward sustainable energy. As the fastest-growing fossil fuel and one of the cleanest among non-renewable energy sources, natural gas plays a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015486055

Bedarfslagen und Versorgung bei Menschen mit außerklinischer Intensivpflege : ein systematischer Überblick auf Basis von Routinedaten

Argüello Guerra, Felipe; Matzk, Sören; Schwinger, Antje; … - 2026

Der Beitrag liefert einen systematischen Überblick zur außerklinischen Intensivpflege (AKI) in Deutschland im Zeitraum von 2018 bis 2022. Auf Basis von AOK-Daten von 18.363 AOK-Versicherten mit AKI werden erstmals umfassende deskriptive Ergebnisse zu den demografischen und...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633999

Estimating demand shocks from foot traffic : a big-data approach

Azzimonti, Marina; Wiczer, David; Xuan, Yang - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015636807

Show one more version 1

Estimating demand shocks from foot traffic : a big-data approach

Azzimonti, Marina; Wiczer, David; Xuan, Yang - 2026

Book / Working Paper

The non-monotonic relationship between income and life insurance demand : a case study of forty-one countries

Rapi, Kristio; Priyarsono, Dominicus S.; Siti Jahroh; … - 2025

Income is often viewed as the main determinant of life insurance demand. However, in the last two decades, the world's life insurance penetration has continued to decrease even as income grows. This study investigates the relationship between income and life insurance demand using panel data...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015207508