Results 41 to 50 of about 23,924 (227)

Intertemporal accounting of climate change - Harmonizing economic efficiency and climate stewardship

, 1999
Continuing a discussion on the intertemporal accounting of climate-change damages initiated by Nordhaus, Heal and Brown in response to the recent demonstration of Hasselmann et al.
Hasselmann, K.
core   +1 more source

Scaling With Bias? The Role of Founders' HR Knowledge and Experience in Hiring and Managerial Appointments

Human Resource Management, EarlyView.
ABSTRACT New ventures are expected to continuously add new jobs and managerial positions to meet the expanding demands of scaling. However, the rapid pace and inherent uncertainty of scaling often lead founders of new ventures to rely on heuristics when making these critical hiring and managerial appointment decisions.
Mohamed Genedy, Lucia Naldi, Karin Hellerstedt, Johan Wiklund   +3 more
wiley   +1 more source

Akrasia – status of weak-willed actions in philosophy of law [PDF]

, 2012
Akrasia, or weak-will, is a term denoting a phenomenon when one acts freely and intentionally contrary to his or her better judgment. Discussion of akrasia originates in the Plato's Protagoras where he states that “No one who either knows or believes ...
Banaś, Paweł
core  

Last‐minute coordination: Adapting to demand to support last‐mile operations

Journal of Operations Management, Volume 71, Issue 2, Page 176-194, March 2025.
Abstract In the highly competitive e‐commerce industry, customer‐facing warehouses are crucial as the “order penetration points” for e‐commerce last‐mile operations. This research examines how warehouses use last‐minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused
Kedong Chen, Hung‐Chung Su, Kevin Linderman, William Li   +3 more
wiley   +1 more source

Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting

Proceedings of the AAAI Conference on Artificial Intelligence
The aim of inverse reinforcement learning (IRL) is to infer an agent's preferences from observing their behaviour. Usually, preferences are modelled as a reward function, R, and behaviour is modelled as a policy, pi. One of the central difficulties in IRL is that multiple preferences may lead to the same observed behaviour.
Skalse, Joar, Abate, Alessandro
openaire   +2 more sources

Social dilemmas, time preferences and technology adoption in a commons problem [PDF]

, 2011
Agents interacting on a body of water choose between technologies to catch fish. One is harmless to the resource, as it allows full recovery; the other yields high immediate catches, but low(er) future catches.
Joosten, Reinoud
core   +4 more sources

Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement

Psychology &Marketing, EarlyView.
ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Hyperbolic Discounting can represent Consistent Preferences [PDF]

Among non Exponential Discounting (ED) models, introduced to capture time inconsistent choices, Hyperbolic Discounting (HD) recently gained particular relevance.
Nicola Dimitri
core  

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

Packaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas, Daniel Hellström, Henrik Pålsson, Yulia Vakulenko   +3 more
wiley   +1 more source