Results 121 to 130 of about 9,474 (263)

Supply Chain Innovations for Food Waste and Loss: Systematic Literature Review and Future Research Agenda

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Food waste and loss (FWL) remains a critical challenge across food supply chains (SCs) globally, with approximately one‐third of all food produced for human consumption discarded or lost each year. This study systematically reviews how supply chain innovation (SCI) can mitigate FWL.
Ilias Vlachos
wiley   +1 more source

ESG Disclosure Quality as Organizational Information Processing: Comparing Human Coding, Rule‐Based Automation, and LLM Semantic Scoring

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley   +1 more source

Evaluation of Circular Pathways for Heavy‐Duty Vehicle Batteries in Europe Using a Multi‐Method Simulation Approach

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Circular battery strategies have become of major interest focusing on material availability while increasing economic and environmental benefits. In this context of circular economy, one main challenge for automotive original equipment manufacturers is that the most profitable handling strategy along the lifecycle is unknown.
Michael Lieder   +2 more
wiley   +1 more source

MODELING MOVEMENT OF OBJECTS WITHOUT STOPS IN A NETWORK OF CROSSING ROUTES

open access: yesInformatika, 2018
Modeling of movement of objects without stops in a network of crossing routes is studied. The problem is formulated in terms of disjunctive linear programming, mixed integer linear programming and graph theory.
I. V. Rubanov   +2 more
doaj  

From Uncertainty to Risk: How Firms Respond in Circular Economy Transitions

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The transition to a circular economy exposes firms to multiple sources of uncertainty, yet existing research largely treats these challenges as barriers rather than drivers of firm behavior. This paper develops a conceptual understanding of how uncertainty is translated into risk and how this shapes firm responses in circular economy contexts.
Hiva Rastegar, Gabriel Eweje
wiley   +1 more source

Bieten KI‐basierte Surrogatmodelle einen Mehrwert für die Prozessoptimierung? — Untersuchungen zu praktischen Anwendungsbeispielen im C4‐Verbund Can AI‐based surrogate models offer added value for process optimization? — Investigations into practical application examples in the C4‐Verbund

open access: yesChemie Ingenieur Technik, EarlyView.
KI‐basierte Surrogatmodelle ermöglichen die Echtzeitoptimierung chemischer Prozesse durch die präzise Abbildung komplexer Zusammenhänge bei reduzierter Rechenzeit. Anhand zweier industrieller Anwendungsfälle aus der C4‐Chemie wird das Potenzial modellbasierter Optimierung systematisch demonstriert.
Bastian Bruns   +4 more
wiley   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu   +7 more
wiley   +1 more source

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

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