Dukhbhanjan Singh
Biographic Data
| ID | 10128827 |
|---|---|
| NAME | Dukhbhanjan Singh |
| GIVEN NAMES | Dukhbhanjan |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH D |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0005-0181-3462 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Management Frameworks for Ai-Integrated Creative Industries
Implementing Artificial Intelligence (AI) into creative sectors is a radical change of how art, media, and design systems work. This study suggests an overall management system that integrates AI-based innovation with conventional creative processes. The paper starts with an account of the history of management paradigms in the field of creativity, with a particular focus on the digital transformation and computational creativity as the factors t…
Visual Sentiment Mining in Contemporary Art Reviews
Visual sentiment mining is a recent field of interdisciplinary study with potential to use computational methods to analyze the emotional reactions to visual art. Written by critics, curators and viewers, contemporary art reviews are full of rich affective meanings, which are not only visual stimuli but also cultural context. But the current sentiment analysis methods are mainly text based or geared towards general images and thus cannot capture …
Managing Ai Tools in Traditional Art Curriculum
The swift onslaught of artificial intelligence in the creative domain has disturbed the long-held beliefs regarding the process of learning, rehearsing, and mastering visual arts. Conventional art education has long been based on embodied methods, including observation, repetition, sensual awareness, in which a sense of touching charcoal or feeling a brushstroke is a constituent of knowledge-making. The emergence of AI, starting with search engin…
Investigating the Connection Among Quality Management Effectiveness and Organizational Culture
The success of an organization depends on its quality management (QM) and organizational culture (OC). While QM seeks to improve the caliber of products and services, OC consider to share beliefs and behaviors that impact working relationships. Together, they deliver excellent performance and a competitive advantage. The goal of the study is to evaluate how various OC factors affect QM methods and their effectiveness. The comprehensive evaluation…
No prominent works on this page.
Investigating the Connection Among Quality Management Effectiveness and Organizational Culture
The success of an organization depends on its quality management (QM) and organizational culture (OC). While QM seeks to improve the caliber of products and services, OC consider to share beliefs and behaviors that impact working relationships. Together, they deliver excellent performance and a competitive advantage. The goal of the study is to evaluate how various OC factors affect QM methods and their effectiveness. The comprehensive evaluation…
Management Frameworks for Ai-Integrated Creative Industries
Implementing Artificial Intelligence (AI) into creative sectors is a radical change of how art, media, and design systems work. This study suggests an overall management system that integrates AI-based innovation with conventional creative processes. The paper starts with an account of the history of management paradigms in the field of creativity, with a particular focus on the digital transformation and computational creativity as the factors t…
Visual Sentiment Mining in Contemporary Art Reviews
Visual sentiment mining is a recent field of interdisciplinary study with potential to use computational methods to analyze the emotional reactions to visual art. Written by critics, curators and viewers, contemporary art reviews are full of rich affective meanings, which are not only visual stimuli but also cultural context. But the current sentiment analysis methods are mainly text based or geared towards general images and thus cannot capture …
Managing Ai Tools in Traditional Art Curriculum
The swift onslaught of artificial intelligence in the creative domain has disturbed the long-held beliefs regarding the process of learning, rehearsing, and mastering visual arts. Conventional art education has long been based on embodied methods, including observation, repetition, sensual awareness, in which a sense of touching charcoal or feeling a brushstroke is a constituent of knowledge-making. The emergence of AI, starting with search engin…
Aesthetic Perception and Analysis (2 works) · Creativity (2 works) · Adaptability (1 work) · Art Education and Development (1 work) · Art, Technology, and Culture (1 work) · Artistic and Creative Research (1 work) · Business (1 work) · Computer Science (1 work) · Creative industries (1 work) · Curriculum (1 work)