Artificial Intelligence-Driven Inventory Management: Optimizing Stock Levels and Reducing Costs Through Advanced Machine Learning Techniques DOI
Osman Çaylı, Zeki Oralhan

The European Journal of Research and Development, Journal Year: 2024, Volume and Issue: 4(4), P. 427 - 439

Published: Dec. 31, 2024

This study investigates the implementation of artificial intelligence (AI) algorithms to enhance inventory management processes in small and medium-sized enterprises (SMEs) within retail sector. Accurate level determination is a critical factor improving organizational performance. Inventory levels are subject wide range influences, including seasonal fluctuations, promotional campaigns, macroeconomic conditions, which introduce significant complexity variability. Such complexities often render manual approaches inefficient. research focuses on addressing these challenges through AI-based methodologies, particularly by employing machine learning data analytics techniques optimize control. The findings contribute literature highlighting potential AI-driven reducing costs supply chain efficiency.

Language: Английский

Unlocking sustainable performance with blockchain technology: Insights from organizational learning theory DOI
Lixu Li, Yan Hou, Lujie Chen

et al.

International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109555 - 109555

Published: Feb. 1, 2025

Language: Английский

Citations

1
Performance Surplus Inconsistency and Firm Innovation: Evidence from China DOI

Min Gong,

Wei Wang, Xu Jiang

et al.

IEEE Transactions on Engineering Management, Journal Year: 2025, Volume and Issue: 72, P. 512 - 526

Published: Jan. 1, 2025

Language: Английский

Citations

0
Absorptive capacity and technological innovation: ambidexterity and research and development DOI
Morteza Akbari, Vajihe Baghersad,

Matin Harandizadeh

et al.

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Purpose This paper investigates the relationships between absorptive capacity, R&D, ambidexterity and technological innovation. The study explores mediating roles of R&D in connection capacity Design/methodology/approach Data were collected from 139 technology-based businesses. analysis is conducted using partial least squares (PLS) technique, SmartPLS3 software utilized. Findings Our result revealed had a meaningful influence on innovation; also, effect innovation significant. Finally, as mediator negative significant indirect impact relationship In addition, findings show that has considerable Originality/value this advance our knowledge processes by which influenced play connection.

Language: Английский

Citations

0
How do CEOs' general managerial skills affect firms' digital transformation? The contingent roles of performance feedback and financial slack DOI
Guocai Chen, Xin Sui

Journal of Enterprise Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Purpose Executives play a key role in firms’ digital transformation, but extant literature remains unclear about the of CEO’s general managerial skills. This study aims to investigate impact CEOs' skills on transformation. Design/methodology/approach Drawing upper echelons theory and behavioral firm (BTOF), this integrates insights from skills, i.e. form decision-makers’ cognitive bias, its interactions with different types heuristics including performance feedback financial slack strategic decision Employing panel dataset China’s A-share listed firms 2007 2023, we conduct empirical research by using standard two-way fixed effects regressions. Findings We find that CEOs’ have positive which there are three mechanisms cognition, risk-taking coordination mechanisms. Furthermore, offer contingent framework based perspective BTOF. shortfalls strengthen while surplus weaken impact. Originality/value expands driver transformation investigating helps understand decisions more comprehensively previous experience. new insight into emphasizing interaction impacts slack.

Language: Английский

Citations

0
CEO foreign experience and corporate digital transformation: moderating effects of firm resources DOI
Jiaojiao Qin, Jun Lin

Technology Analysis and Strategic Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Sept. 19, 2024

Language: Английский

Citations

1
Artificial Intelligence-Driven Inventory Management: Optimizing Stock Levels and Reducing Costs Through Advanced Machine Learning Techniques DOI
Osman Çaylı, Zeki Oralhan

The European Journal of Research and Development, Journal Year: 2024, Volume and Issue: 4(4), P. 427 - 439

Published: Dec. 31, 2024

This study investigates the implementation of artificial intelligence (AI) algorithms to enhance inventory management processes in small and medium-sized enterprises (SMEs) within retail sector. Accurate level determination is a critical factor improving organizational performance. Inventory levels are subject wide range influences, including seasonal fluctuations, promotional campaigns, macroeconomic conditions, which introduce significant complexity variability. Such complexities often render manual approaches inefficient. research focuses on addressing these challenges through AI-based methodologies, particularly by employing machine learning data analytics techniques optimize control. The findings contribute literature highlighting potential AI-driven reducing costs supply chain efficiency.

Language: Английский

Citations

0