Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations

The article examines the role of operational management in implementing various scenarios of artificial intelligence (AI) strategy adoption within entrepreneurship infrastructure organizations, such as chambers of commerce and industry, consulting firms, incubators, and government business support i...

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Main Author: Dmytro Antoniuk
Format: Article
Language:English
Published: Zaporizhzhia National University 2025-06-01
Series:Менеджмент та підприємництво: тренди розвитку
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Online Access:https://management-journal.org.ua/index.php/journal/article/view/580/315
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author Dmytro Antoniuk
author_facet Dmytro Antoniuk
author_sort Dmytro Antoniuk
collection DOAJ
description The article examines the role of operational management in implementing various scenarios of artificial intelligence (AI) strategy adoption within entrepreneurship infrastructure organizations, such as chambers of commerce and industry, consulting firms, incubators, and government business support institutions. The study proposes a conceptual model that considers two key drivers: organizational readiness and the level of competitive pressure. The research methodology employs a matrix approach that identifies four AI implementation strategy scenarios. According to the Trailblazers scenario, AI is implemented by entrepreneurship infrastructure organizations with high readiness and high competitive pressure, which focus on aggressive innovation and rapid scaling. Organizations with low readiness but high pressure, concentrating on reactive solutions to achieve “quick wins” follow the Fast followers strategy. Cautious adopters have high readiness but low competitive pressure, allowing them to gradually integrate AI using proven solutions. Explorers are organizations with low readiness and low pressure that conduct experiments to accumulate knowledge. The research results demonstrate that the success of AI transformation largely depends on an organization's ability to adapt its operational strategy to its specific profile. Leading organizations (Trailblazers) require the creation of flexible teams and developed infrastructure, while catching-up organizations (Fast followers) can effectively use cloud AI services to quickly obtain results. For cautious adopters, risk management is a key aspect, and explorers focus on staff training and preparation for future changes. The practical value of the research lies in developing a strategy classification that helps organizations clearly identify their current state and choose the optimal AI implementation path. The proposed model serves as a tool for managers seeking to effectively integrate AI into their organizations' operations while considering their readiness levels and competitive environments.
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series Менеджмент та підприємництво: тренди розвитку
spelling doaj-art-b22b4ad0bd3a40dd925f5fdb9645aa9c2025-08-20T03:23:31ZengZaporizhzhia National UniversityМенеджмент та підприємництво: тренди розвитку2522-15662025-06-01232627110.26661/2522-1566/2025-2/32-04Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizationsDmytro Antoniuk0https://orcid.org/0000-0003-2910-0497Zaporizhzhia National University, UkraineThe article examines the role of operational management in implementing various scenarios of artificial intelligence (AI) strategy adoption within entrepreneurship infrastructure organizations, such as chambers of commerce and industry, consulting firms, incubators, and government business support institutions. The study proposes a conceptual model that considers two key drivers: organizational readiness and the level of competitive pressure. The research methodology employs a matrix approach that identifies four AI implementation strategy scenarios. According to the Trailblazers scenario, AI is implemented by entrepreneurship infrastructure organizations with high readiness and high competitive pressure, which focus on aggressive innovation and rapid scaling. Organizations with low readiness but high pressure, concentrating on reactive solutions to achieve “quick wins” follow the Fast followers strategy. Cautious adopters have high readiness but low competitive pressure, allowing them to gradually integrate AI using proven solutions. Explorers are organizations with low readiness and low pressure that conduct experiments to accumulate knowledge. The research results demonstrate that the success of AI transformation largely depends on an organization's ability to adapt its operational strategy to its specific profile. Leading organizations (Trailblazers) require the creation of flexible teams and developed infrastructure, while catching-up organizations (Fast followers) can effectively use cloud AI services to quickly obtain results. For cautious adopters, risk management is a key aspect, and explorers focus on staff training and preparation for future changes. The practical value of the research lies in developing a strategy classification that helps organizations clearly identify their current state and choose the optimal AI implementation path. The proposed model serves as a tool for managers seeking to effectively integrate AI into their organizations' operations while considering their readiness levels and competitive environments.https://management-journal.org.ua/index.php/journal/article/view/580/315entrepreneurship infrastructure organisationsoperational managementartificial intelligencedigital transformationbusiness processesorganizational readinesscompetitive pressure
spellingShingle Dmytro Antoniuk
Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
Менеджмент та підприємництво: тренди розвитку
entrepreneurship infrastructure organisations
operational management
artificial intelligence
digital transformation
business processes
organizational readiness
competitive pressure
title Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
title_full Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
title_fullStr Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
title_full_unstemmed Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
title_short Operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
title_sort operational management and strategic scenarios of implementing artificial intelligence in entrepreneurship infrastructure organizations
topic entrepreneurship infrastructure organisations
operational management
artificial intelligence
digital transformation
business processes
organizational readiness
competitive pressure
url https://management-journal.org.ua/index.php/journal/article/view/580/315
work_keys_str_mv AT dmytroantoniuk operationalmanagementandstrategicscenariosofimplementingartificialintelligenceinentrepreneurshipinfrastructureorganizations