Artificial intelligence for sustainable business practices: a case-based perspective on generative and predictive technologies in B2B operations

Adriyan Dinev

Цб П II 1656

Детайли

Източник

Yearbook of UNWE (Годишник на УНСС)

Година на издаване

2025

Пор.№

Issue 1

Страници

105-118

Класификационен индекс

УДК	Значение
338	Икономическо положение. Икономическа политика. Управление. Планиране. Производство. Услуги. Цени

Том

LXIV

Ключови думи

artificial intelligence (AI), sustainable business, business operations

Допълнителна информация

ISSN: 1312-5486
Системен №: 123074
Website: https://www.unwe.bg/doi/yearbook/2025.1/YB.2025.1.06.pdf
Тематични рубрики: Икономика на индустрията, Информационни технологии. Иновации
Предметни рубрики: Периодични издания, английски език - УНСС

Действия

APA Chicago / Turabian (16th edition) Harvard MLA (7th edition) Vancouver

Dinev, A. Artificial intelligence for sustainable business practices: a case-based perspective on generative and predictive technologies in B2B operations. 2025 105-118,.

Dinev, A. (2025) Artificial intelligence for sustainable business practices: a case-based perspective on generative and predictive technologies in B2B operations, 105-118,.

Dinev, A. (2025). Artificial intelligence for sustainable business practices: a case-based perspective on generative and predictive technologies in B2B operations. Yearbook of UNWE (Годишник на УНСС), LXIV (Issue 1), 105-118.

Dinev A. Artificial intelligence for sustainable business practices: a case-based perspective on generative and predictive technologies in B2B operations. Yearbook of UNWE (Годишник на УНСС). 2025; LXIV(Issue 1): 105-118.