Autor: Nguyen, Dat Hoang Anh - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Social capital and digital transformation of startups in Vietnam: the mediating role of access to resources
Autorzy:: Nguyen, Dat Hoang Anh
Tran, Ghi Nha
Tran, Khoa Dang
Nguyen, Thach Ha
Powiązania:: https://bibliotekanauki.pl/articles/18029939.pdf
Data publikacji:: 2023
Wydawca:: Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Tematy:: social capital
access to resources
digital transformation
kapitał społeczny
dostęp do zasobów
transformacja cyfrowa
Opis:: The purpose of this study is to use social capital theory to explain how startups in Vietnam undergo the digital transformation process. The study investigates the connection between social capital, resource access, and digital transformation in Vietnamese startups. 230 managers were analyzed using the Partial Least Squares Structural Model (PLS-SEM). The study found a positive correlation between social capital, resource access, and digital transformation. Additionally, the study looked at the role of resource access as a mediator between social capital and digital transformation. The findings of this study hold immense importance for managers seeking to establish social capital with stakeholders, including government agencies, customers, competitors, and suppliers in the digital platform services industry. Leveraging social capital can increase managers’ access to crucial resources, especially during the Covid-19 pandemic. The study acknowledges its limitations and identifies areas for future research.
Źródło:: Management; 2023, 27, 1; 1d84--200
1429-9321
2299-193X
Pojawia się w:: Management
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Hybrid end-to-end approach integrating online learning with face-identification system
Autorzy:: Nguyene, Dat Van
Nguyen, Son Trung
Pham, Thi Hong Anh
Pham, Van Toan
Hoang, Thao Thu
Thanh, Ta Minh
Powiązania:: https://bibliotekanauki.pl/articles/27312886.pdf
Data publikacji:: 2023
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: facial recognition
visual search engine
end-to-end applications
online learning
ElasticSearch (ES)
ES
Opis:: Facial recognition has been one of the most intriguing and exciting research topics over the last few years. It involves multiple face-based algorithms such asfacial detection, facial alignment, facial representation, and facial recognition. However, all of these algorithms are derived from large deep-learning architectures, leading to limitations in development, scalability, accuracy, and deployment for public use with mere CPU servers. Also, large data sets that contain hundreds of thousands of records are often required for training purposes. In this paper, we propose a complete pipeline for an effective face-recognition application that requires only a small data set of Vietnamese celebrities and a CPU for training, solving the problem of data leakage, and the need for GPU devices. The pipeline is based on the combination of a conversion algorithm from face vectors to string tokens and the indexing & retrieval process by Elasticsearch, thereby tackling the problem of online learning in facial recognition. Compared with other popular algorithms on the same data set, our proposed pipeline not only outperforms the counterpart in terms of accuracy but also delivers faster inference, which is essential to real-time applications.
Źródło:: Computer Science; 2023, 24 (1); 141--161
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

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