Results 81 to 90 of about 1,033,557 (227)
Sustainable Development, EarlyView.ABSTRACT Climate‐smart agriculture (CSA) is widely promoted to enhance resilience and productivity among smallholder farmers, yet its diffusion remains uneven due to structural barriers and heterogeneous adoption contexts. Existing forecasting tools, such as the Adoption and Diffusion Outcome Prediction Tool (ADOPT), estimate adoption trajectories but ...
Denis Momanyi +6 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao +4 more
wiley +1 more source
Data cleaning operations performed on Tweets prior to Latent DIrichlet Allocation topic modelling
, 2016 Data cleaning operations performed on Tweets prior to Latent DIrichlet Allocation topic ...
Colin Robertson (343946) +1 more
core +1 more source
Empirical prior latent Dirichlet allocation model [PDF]
, 2019 In this study, empirical prior Dirichlet allocation (epLDA) model that uses latent semantic indexing framework to derive the priors required for topics computation from data is presented.
Adewole, P.A. +2 more
core +1 more source
, 2021 Identifying product attributes from the perspective of a customer is essential to measure the satisfaction, importance, and Kano category of each product attribute for product design.
Joung, Junegak, Kim, Harrison M.
core +1 more source
Integrated Bibliometric and Computational Analysis of Artificial Intelligence in Sustainable Finance
Sustainable Development, EarlyView.ABSTRACT The rapid integration of artificial intelligence into financial services presents a transformative opportunity to advance sustainability goals, yet a systematic understanding of its current state and impact is essential. This review aims to synthesize existing literature on AI applications within the financial sector, emphasizing their role in
Sajjad Vojdanian +4 more
wiley +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Local labor market frictions and platform‐based entrepreneurship
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Building on prior research about the heterogeneous impact of labor shocks on individuals' propensity to start businesses, we explore how local labor market frictions affect individuals' selection into platform‐based entrepreneurship.
Ruiqing Cao, Yifan Lyu
wiley +1 more source
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceTopic modeling has become a fundamental technique for uncovering latent thematic structures within large collections of textual data. However, conventional models often struggle to capture the burstiness of topics.
Shadan Ghadimi +2 more
doaj +1 more source
The Hidden Hallyu Emerged: Exploring the Key Motives of Reading Adapted K‐Webtoons of South Korea
Thunderbird International Business Review, EarlyView.ABSTRACT This study aims to investigate why global fans read Korean webtoons (K‐webtoons) and how their motivations vary across different genres. Previous studies have approached the Korean Wave (Hallyu) from a national perspective, emphasizing its influence and primarily discussing K‐pop and K‐drama.
Hoseok Gwak +3 more
wiley +1 more source