Results 241 to 250 of about 435,188 (330)

Strategic Innovation for Sustainability: A Conceptual Model Linking Digitalization, Social Dynamics, and Climate Change Mitigation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking.
Gagan Deep Sharma   +4 more
wiley   +1 more source

Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio   +2 more
wiley   +1 more source

An observation‐driven state‐space model for claims size modelling

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn   +2 more
wiley   +1 more source

Wagner proposition in Nigeria: An econometric analysis. [PDF]

open access: yesHeliyon, 2020
Babajide AA   +3 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

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