Results 221 to 230 of about 31,007 (299)

From Green Governance to Biodiversity Strategy: The Role of Environmentally Experienced Directors in Chinese Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang   +2 more
wiley   +1 more source

Sustainable Innovation and Impact on Triple Bottom Line Performance: Are Innovation Types Simple Mediators?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the way sustainable innovation, conceptualized as a second‐order construct integrating sustainable orientation and innovation culture, impacts triple bottom line (TBL) performance. It also examines the mediating roles of product, process, organizational, and marketing innovations.
Nuno Fernandes Crespo   +1 more
wiley   +1 more source

Digital Orientation and Green Practices in Chilean SMEs: Innovation as the Pathway to Competitive Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how digital strategic orientation (DSO) and environmental practices (EP) interact to shape innovation and performance among Chilean SMEs. Using survey data from 271 firms (February–May 2022), we estimate a generalized structured component analysis (GSCA) model that accommodates a nonrecursive relationship between DSO and EP.
Constanza Caicha‐Caroca   +2 more
wiley   +1 more source

On copositive programming and standard quadratic optimization problems.

open access: yes
Klerk, E. de   +5 more
core  

Multivariate phase‐dependent optimization of bioprocesses boosts performance and quality—Why timing (of exposure) matters

open access: yesBiotechnology Progress, EarlyView.
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle   +7 more
wiley   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

open access: yesCereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson   +7 more
wiley   +1 more source

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