Results 61 to 70 of about 12,551 (259)
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag +3 more
wiley +1 more source
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source
Modeling customer-centric supply chain management for sustainable competitive advantage [PDF]
This paper presents a customer-centric supply chain management (CSCM) paradigm designed to create a sustainable competitive advantage (SCA). The proposed CSCM model seeks to enhance customer satisfaction and achieve SCA by leveraging its distinctive core
Al-Shammari Minwir
doaj +1 more source
The electrical power industry has been recognized as a natural monopoly industry for its technological and industrial characteristics. However, a competitive market system has been introduced to that industry in Europe, North America and Australia to overcome the inefficiencies originated from the monopolistic system for decades.
Kwi-Seok Kwon +2 more
openaire +2 more sources
The role of venture‐financed startups in innovation for US agriculture
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source
Improving access to new technologies: An experiment with Kenyan input sellers
Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki +6 more
wiley +1 more source
Bridging AI Marketing and Customer Loyalty
This study investigates the influence of AI-driven marketing practices on customer loyalty, with a particular focus on perceived value as a mediating variable.
Aram H. Massoudi +2 more
doaj +1 more source
Risk management externalities in agrifood supply chains
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley +1 more source
Firm turnover under asymmetric information: Tanzania's agro‐dealer sector
Abstract We study firm turnover (i.e., entry and exit) and its consumer implications in a market characterized by asymmetric information. Using a three‐round census of agro‐dealers in Tanzania's Morogoro Region, we document annual firm entry and exit rates of 33% and 17%, respectively.
Alix Naugler +3 more
wiley +1 more source

