Results 131 to 140 of about 75,968 (304)

Sensegiving, ESG, and Firm Value: Mitigating Interpretive Uncertainty in South Korea

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As environmental, social, and governance (ESG) becomes central to corporate strategy, firms must navigate the tension between meeting stakeholder expectations and avoiding overinvestment. This study examines how interpretive uncertainty—arising from stakeholders' divergent cognitive frames—produces a nonlinear relationship between ESG ...
Yanghee Kim   +3 more
wiley   +1 more source

Recombining Knowledge for Climate Innovation: Evidence From US Energy Incumbents

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As the climate crisis intensifies, energy incumbents must strategically transform their fossil‐fueled legacies to remain competitive and sustainable. Yet, little is known about how internal knowledge architectures and external industry positions jointly shape their capacity for climate innovation.
Kyung‐Baek Min   +2 more
wiley   +1 more source

Quantum annealing for inverse kinematics in robotics. [PDF]

open access: yesSci Rep
Salloum H   +5 more
europepmc   +1 more source

Infinite-horizon linear-quadratic age-structured optimal control problem [PDF]

open access: yesApplied Mathematical Sciences, 2020
Buratto, Alessandra   +2 more
openaire   +1 more source

Does Managerial Ability Improve Environmental Performance and Overall ESG Ratings? The Impact of the European Sustainability Reporting Mandate

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu   +2 more
wiley   +1 more source

Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee

open access: yesChemie Ingenieur Technik, EarlyView.
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt   +6 more
wiley   +1 more source

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