Results 171 to 180 of about 1,585,156 (315)

Promoting occupational health information in small and medium-sized enterprises in Japan

Environmental and Occupational Health Practice
Teppei Imai, Noriko Nishikido, Jiro Moriguchi, Sho Kondo, Hayato Terada, Akiko Saito, Eiji Shibata, Satoko Shimamoto, Yasuaki Jikumaru, Tamotsu Sugawara, Kuniaki Seiji, Masaji Tabata, Hiroto Nakadaira, Toshiyuki Hara, Mitsuo Hinoue, Izumi Matsumoto, Rie Narai, Hideyuki Takayama, Yoto Taguchi, Hiroko Makimoto   +19 more
doaj   +1 more source

Complementary and substitution effects of digital finance and green finance on corporate green innovation. [PDF]

Sci Rep
Tan S, Tao S.
europepmc   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

From carbon policy to public health: an analysis of pricing decisions in electronics supply chains for costing emissions reduction. [PDF]

Front Public Health
Sun T, Huang N, Jiang W.
europepmc   +1 more source

EFFECTIVE MARKETING FOR SMALL ENTERPRISES [PDF]

, 2003
Cremer, Rainer, Kyrsta, S., Martinez, C., Neuschütz, Dieter, Reichert, K.   +4 more
core   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

AI adoption in E-commerce enterprises: Insights into current practices and future directions from an interview study. [PDF]

PLoS One
Zhu T, Abd Rozan MZ.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Editorial Note: Green credit and market expansion strategy of high pollution enterprises-Evidence from China. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source