Results 71 to 80 of about 970,151 (199)

Mapping the Influence of Ansoff's Corporate Strategy

Strategic Change, EarlyView.
ABSTRACT This paper conducts a systematic, data‐driven analysis of H. Igor Ansoff's enduring impact on strategic management scholarship. Despite Ansoff's recognition as the “father of strategic management” and the continued relevance of his frameworks—including the Ansoff matrix, weak signals analysis, and strategic thrust—a comprehensive understanding
Ivan Zupic, Tomaž Čater, Andrea Caputo, Dejan Uršič   +3 more
wiley   +1 more source

Automated Keyword Filtering in Latent Dirichlet Allocation for Identifying Product Attributes From Online Reviews

, 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

A Spatial Semantic Feature Extraction Method for Urban Functional Zones Based on POIs

ISPRS International Journal of Geo-Information
Accurately extracting semantic features of urban functional zones is crucial for understanding urban functional zone types and urban functional spatial structures.
Xin Yang, Xi’ang Ma
doaj   +1 more source

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

Strategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega, Daniela Menezes, Fernando Antonio Ribeiro Serra, Maling Ebrahimpour, Benny Kramer   +4 more
wiley   +1 more source

Personalized anti-tumor drug efficacy prediction based on clinical data

Heliyon
Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data.
Xinping Xie, Dandan Li, Yangyang Pei, Weiwei Zhu, Xiaodong Du, Xiaodong Jiang, Lei Zhang, Hong-Qiang Wang   +7 more
doaj   +1 more source

Decentralized Topic Modelling with Latent Dirichlet Allocation

CoRR, 2016
Privacy preserving networks can be modelled as decentralized networks (e.g., sensors, connected objects, smartphones), where communication between nodes of the network is not controlled by an all-knowing, central node. For this type of networks, the main issue is to gather/learn global information on the network (e.g., by optimizing a global cost ...
Colin, Igor, Dupuy, Christophe
openaire   +3 more sources

When Connection Feels Empty: Rethinking Consumer Loneliness Through Dual Presence in Digital Marketing

Psychology &Marketing, EarlyView.
ABSTRACT Digital marketplaces sell connection, yet loneliness persists among their users. Marketing scholarship has largely examined loneliness as a consumer‐level deficit, studying how individuals compensate through consumption. How digital environments themselves structure the conditions under which loneliness is experienced has received less ...
Tianhao Yang, Hsin‐Hsuan Meg Lee, Charlotte Gaston‐Breton   +2 more
wiley   +1 more source

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

Medicine Advances, EarlyView.
This review summarizes AI methods for biomedical imaging and clinical data analysis. Deep learning and multimodal models improve feature learning and diagnostic accuracy. Future progress requires explainable and generalizable AI for precision medicine.
Lifeng Li, Ashfaque Khowaja, Yucheng Song, Mingwei Zhang, Shabir Hussain   +4 more
wiley   +1 more source

A hybrid intelligent model that performs product evaluation via semantic mining and optimized decision processing

Scientific Reports
The current product evaluation systems, constrained by fixed indicators and subjective weighting, struggle to adapt to dynamic market demands. This study proposes a data-driven framework integrating latent Dirichlet allocation, fuzzy analytic hierarchy ...
Dezheng Wu, Xueqian Jiang, Yawen Hu, Kexiang Li   +3 more
doaj   +1 more source

Business‐Like Narrative and Public Engagement: Evidence From TED Talks on Nonprofit Issues

Nonprofit Management and Leadership, EarlyView.
ABSTRACT While the trend of nonprofits adopting business‐like practices has been widely discussed, limited attention has been paid to how the broader public responds to this shift. One way to capture public reactions is by examining engagement with business‐like narratives in media.
Jun Zhang
wiley   +1 more source