Results 151 to 160 of about 24,206 (303)
ABSTRACT Considering the need for environmental sustainability and fulfillment of the needs of customers at the bottom of the pyramid, this study integrates the attention‐based view of organizations and situational leadership theory to examine the impact of government eco‐initiatives on frugal green innovation through managerial attention toward the ...
Qaisar Iqbal +2 more
wiley +1 more source
Automating Sustainability: How Climate Action Unlocks the ESG Potential of Industrial Robotics
ABSTRACT The convergence of Industry 4.0 and global sustainability goals presents a critical paradox: while automation drives efficiency, its net impact on comprehensive environmental, social, and governance (ESG) performance remains contested. This study investigates the relationship between industrial robot and country‐level ESG performance across 63
Brahim Bergougui
wiley +1 more source
Estimating Asymmetric Advertising Response: An Application to U.S. Nonalcoholic Beverage Demand [PDF]
We propose a regime-switching model that allows demand to respond asymmetrically to upward and downward advertising changes. With the introduction of a smooth transition function, the model features smooth rather than abrupt parameter changes between ...
Kaiser, Harry M., Zheng, Yuqing
core +1 more source
ABSTRACT This study investigates the impact of digital finance and financial inclusion on carbon emissions within a multi‐country panel framework, contributing to the emerging Finance 5.0 literature that links digital transformation with environmental sustainability.
Utku Altunöz
wiley +1 more source
Lack-of-fit tests in semiparametric mixed models. [PDF]
In this paper we obtain the asymptotic distribution of restricted likelihood ratio tests in mixed linear models with a fixed and finite number of random effects.
Claeskens, Gerda +2 more
core
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Practical higher-order smoothing of the bootstrap
In the context of functional estimation, the bootstrap approach amounts to substitution of the empirical distribution function for the unknown underlying distribution in the definition of the functional. A smoothed bootstrap alternative substitutes instead a smoothed version of the empirical distribution function, obtained by kernel smoothing of the ...
Lee, S, Young, GA
openaire +2 more sources
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
new test for the parametric form of the variance function in nonparametric regression [PDF]
In the common nonparametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the empirical processes obtained from the standardized ...
Dette, Holger, van Keilegom, Ingrid
core

