ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli +3 more
wiley +1 more source
Design of high-performance, accurate, and approximate Dadda-tree multipliers for image processing applications. [PDF]
Rather AA +3 more
europepmc +1 more source
Turning Mental Models Around: Boundary Objects as Enablers of Sustainable Business Model Innovation
ABSTRACT Organizations increasingly innovate their business models (BMs) toward sustainability to maintain competitiveness and comply with regulations. Sustainable business model innovation (SBMI) requires decision‐makers to identify ecological and social opportunities while balancing economic goals.
Laura Hartung‐Geyer +2 more
wiley +1 more source
Minding the gap between artificial and biological computing paradigms for biologically loyal AI. [PDF]
Kirkpatrick KL.
europepmc +1 more source
Research Progress of Polyoxometalate‐Integrated Frameworks: Syntheses, Properties, and Applications
This review systematically summarizes the integration of polyoxometalates with covalent organic frameworks, metal‐organic frameworks, hydrogen‐bonded organic frameworks, and emerging porous hosts. It highlights synergistic effects, synthesis strategies, and applications in catalysis, energy storage, sensing, and biomedicine, while addressing current ...
De‐Yin Wang +6 more
wiley +1 more source
Efficient spiking convolutional neural networks accelerator with multi-structure compatibility. [PDF]
Wu J +6 more
europepmc +1 more source
Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu +9 more
wiley +1 more source
Research on Fuzzy Computation Tree Temporal Logic with Quality Constraints and Its Model Checking
Xianfeng Yu +3 more
openalex +1 more source
A Logic Programming Playground for Lambda Terms, Combinators, Types and Tree-based Arithmetic Computations [PDF]
Paul Tarau
openalex +1 more source
ROS 2-Based Architecture for Autonomous Driving Systems: Design and Implementation. [PDF]
Bonci A +5 more
europepmc +1 more source

