Results 81 to 90 of about 31,162,203 (315)

AI and Business Model Innovation: Leverage the AI feedback loop [PDF]

open access: yes, 2020
The article analyzes the effects of AI on Business Model Innovation. It shows that AI enables key strategic feedback loops that constitute the core structure of a business model.
Pavlov, Oleg, Katsamakas, Evangelos
core   +1 more source

On cost and revenue in circular supply chains: Where to close the loop?

open access: yesCleaner Logistics and Supply Chain
Environmental sustainability is a main research topic in supply chain management, including sustainable, green, closed-loop, and circular supply chain management concepts.
Herbert Jodlbauer   +2 more
doaj   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

open access: yesAdvanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort   +3 more
wiley   +1 more source

Business Model Creativity:: A Horizontal Insight Model [PDF]

open access: yes, 2018
This paper presents a model for feasibility testing of novel ideas for business model innovators. It suggests a five-step systematic involvement of non-domain-related knowledge intended to deliver more unique ideas that are feasible in the decision ...
Hansen, Søren; id_orcid   +7 more
core   +1 more source

Microstructure Evolution in Dry‑Coated Sulfidic All‐Solid‐State Battery Cathodes: Investigating Core–Shell Particle Morphology

open access: yesAdvanced Science, EarlyView.
Mixing method directly governs interface engineering and electrode morphology during the dry coating of all‐solid‐state battery cathodes. While high‐shear batch mixing yields poor electrode quality and lacks core–shell‐like features, continuous extruder mixing enables strong binder fibrillation and a core–shell‐like coating between the active material ...
Michael Wolf   +7 more
wiley   +1 more source

Maintaining Accuracy While Reducing Effort in Online Decision Making: A New Quantitative Approach for Multi-Attribute Decision Problems Based on Principal Component Analysis

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
This paper explores consumer decision making, particularly focusing on the increasing prevalence of choices on the Internet such as online shopping. Examining the fundamental question of how individuals decide how to decide, our paper draws upon the ...
Herbert Jodlbauer, René Riedl
doaj   +1 more source

Business model revisited: a novel canvas for digital transformation [PDF]

open access: yesREGE Revista de Gestão
Purpose – Digital businesses defy the models and theories of traditional entrepreneurship. This study proposes a refined digital business model canvas (DBMC) to address digital entrepreneurship’s unique challenges and opportunities.
Beatriz Garcia Altafin   +2 more
doaj   +1 more source

Unlocking the Full Potential of Jumping Condensation on Microstructured Surfaces

open access: yesAdvanced Science, EarlyView.
Microcone arrays exhibit a spacing‐dependent transition between jumping and non‐jumping condensation. Dense microstructures favor full Cassie droplets, which depart cleanly, while wider spacing favors partial Cassie droplets that retain a localized wet region initiating new nucleation. These findings establish a link between microdroplet morphology and
Mariia S. Kiseleva   +13 more
wiley   +1 more source

Harnessing dynamic capabilities for data-driven business model innovation in incumbents

open access: yesDigital Business
Data-driven business model innovation (DDBMI) leverages digital technologies to seize opportunities and address challenges, yet incumbents often struggle due to their reliance on existing capabilities.
Shailesh Tripathi   +3 more
doaj   +1 more source

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

open access: yesAdvanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye   +15 more
wiley   +1 more source

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