Results 221 to 230 of about 282,422 (272)
Business Strategy and the Environment, EarlyView.ABSTRACT The transition toward more sustainable and innovative agricultural systems increasingly relies on the integration of digital and enabling technologies (KETs). Although the technical and productive aspects of these innovations have been widely investigated, consumer acceptance remains less understood, despite its key role in fostering their ...
Giulio Cascone, Giuseppe Timpanaro
wiley +1 more source
Innovative Minds, Sharing Hesitations: Open Innovation Meets Green Entrepreneurship
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the relationships between innovative thinking tendency, knowledge hiding behavior within organizations, open innovation, and green entrepreneurship among employees in technology firms. Data collected from 386 participants were analyzed using cluster analysis and structural equation modeling.
Ebru Polat
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT As sustainability transitions accelerate, firms increasingly engage in innovation ecosystems to pursue disruptive sustainable innovation (DSI). Nevertheless, empirical understanding regarding how innovation ecosystem coopetition—simultaneous cooperation and competition among interdependent actors—translates into sustainability‐oriented ...
Jin‐Sup Jung, Min‐Jae Lee
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani +6 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The increasing popularity of ecotourism in regions like Central America and the Caribbean, particularly in the Dominican Republic, necessitates a deeper understanding of how these businesses can integrate innovation with environmental sustainability.
Hayrold José Ureña‐Espaillat +2 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Neighborhood linear discriminant analysis
Pattern Recognition, 2022Abstract Linear Discriminant Analysis (LDA) assumes that all samples from the same class are independently and identically distributed (i.i.d.). LDA may fail in the cases where the assumption does not hold. Particularly when a class contains several clusters (or subclasses), LDA cannot correctly depict the internal structure as the scatter matrices ...
Fa Zhu, Junbin Gao, Jian Yang
exaly +2 more sources
Linear discriminant analysis for multiple functional data analysis [PDF]
Journal of Applied Statistics, 2021 Sugnet Gardner-Lubbe
exaly +2 more sources
Linear Discriminant Analysis for Signatures
IEEE Transactions on Neural Networks, 2010We propose signature linear discriminant analysis (signature-LDA) as an extension of LDA that can be applied to signatures, which are known to be more informative representations of local image features than vector representations, such as visual word histograms.
S. Huh, D. Lee
openaire +2 more sources
Network linear discriminant analysis
Computational Statistics & Data Analysis, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Cai +4 more
openaire +1 more source
Nonstationary linear discriminant analysis
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017Changes in population distributions over time are common in many applications. However, the vast majority of statistical learning theory takes place under the assumption that all points in the training data are identically distributed (and independent), that is, non-stationarity of the data is disregarded. In this paper, a version of the classic Linear
Shuilian Xie +3 more
openaire +1 more source