Prabha D
Biographic Data
| ID | 8969471 |
|---|---|
| NAME | Prabha D |
| GIVEN NAMES | D |
| FAMILY NAME | Prabha |
| SIGNATURE | D P |
| AFFILIATIONS | St. Francis College |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Management Models for Creative Industries in the Digital Age
The high pace of innovations in digital technologies has dramatically changed the organization and operation of the creative sectors in the world. Media, performing arts, design, publishing, film, and the production of digital content are some of the sectors that technologies like artificial intelligence, big data analytics, digital platforms, and cloud-based collaboration systems are introducing more influence. The creative content is produced, …
Management Strategies for Ai-Integrated Craft Industries
Traditional craft industry is crucial in preserving culture, rural livelihoods, and creative economies but continues to encounter the same issues with fragmentation of value chains, lack of market confidence, loss of skills and the inability to be sustainable. Artificial intelligence (AI) brings fresh possibilities to overcome these issues, but there is a need to use it in craft ecosystems mindfully, so as to prevent a degradation of culture and …
Predictive Analytics for Print Supply Chain Management
Predictive analytics have become one of the most important facilitators of data-driven decision-making in supply chain management, yet the system is not actively used in the print industry, despite the growth of the complexity of operations and the unpredictability of demand. The nature of print supply chain is also marked by job production, non-homogeneous materials, short-term planning, and inflexible delivery schedules that diminish the effici…
Predictive Models for Art Gallery Management
The study examines how an efficient and intelligent art gallery management can be developed using predictive models that integrate both data-driven decision-making and creativity and curatorial work. Contemporary art spaces are increasingly struggling with the issue of predicting visitor behavior, arranging the layout of the artwork, controlling the environment, and making sales predictions. In order to deal with such complexities, the work appli…
No prominent works on this page.
Predictive Models for Art Gallery Management
The study examines how an efficient and intelligent art gallery management can be developed using predictive models that integrate both data-driven decision-making and creativity and curatorial work. Contemporary art spaces are increasingly struggling with the issue of predicting visitor behavior, arranging the layout of the artwork, controlling the environment, and making sales predictions. In order to deal with such complexities, the work appli…
Management Models for Creative Industries in the Digital Age
The high pace of innovations in digital technologies has dramatically changed the organization and operation of the creative sectors in the world. Media, performing arts, design, publishing, film, and the production of digital content are some of the sectors that technologies like artificial intelligence, big data analytics, digital platforms, and cloud-based collaboration systems are introducing more influence. The creative content is produced, …
Management Strategies for Ai-Integrated Craft Industries
Traditional craft industry is crucial in preserving culture, rural livelihoods, and creative economies but continues to encounter the same issues with fragmentation of value chains, lack of market confidence, loss of skills and the inability to be sustainable. Artificial intelligence (AI) brings fresh possibilities to overcome these issues, but there is a need to use it in craft ecosystems mindfully, so as to prevent a degradation of culture and …
Predictive Analytics for Print Supply Chain Management
Predictive analytics have become one of the most important facilitators of data-driven decision-making in supply chain management, yet the system is not actively used in the print industry, despite the growth of the complexity of operations and the unpredictability of demand. The nature of print supply chain is also marked by job production, non-homogeneous materials, short-term planning, and inflexible delivery schedules that diminish the effici…
Creativity (3 works) · Analytics (2 works) · Cultural Industries and Urban Development (2 works) · Predictive analytics (2 works) · Aesthetic Perception and Analysis (1 works) · Appeal (1 works) · Art History and Market Analysis (1 works) · Attendance (1 works) · Big data (1 works) · Big Data and Business Intelligence (1 works)