Jaskirat Singh Rai
Biographic Data
| ID | 6198407 |
|---|---|
| NAME | Jaskirat Singh Rai |
| GIVEN NAMES | Jaskirat Singh |
| FAMILY NAME | Rai |
| SIGNATURE | RAI J S |
| AFFILIATIONS | Chitkara University |
| ORCID | 0000-0001-5453-0267 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Understanding the psychology of knowledge sharing and experience in digital service ecosystems
Drawing on service-dominant (SD) logic, which conceptualizes value as emerging through resource integration and use rather than direct technological outputs, the study examines how technology-mediated knowledge-sharing platforms (TMKSP) influence employee and employee-perceived customer experience using the DART (dialogue, access, risk assessment, transparency) framework of value co-creation. Employing a mixed-method approach, a pre-hoc qualitati…
AI and Metaverse as transformative tools for knowledge management: Behavioural reasoning and its implications for organizational performance
Ai-Generated Compositions in Music Education
With the introduction of the creative process into the sphere of music learning, the introduction of the Artificial Intelligence (AI) has changed the way of composing, analyzing, and learning. The compositions created by AI give educators and learners new tools that could be applied to generate creativity and composing, and their interpretation of the musical form. The paper explains how AI has been used more and more as a potent application in t…
Neural Networks for Texture Simulation in Prints
Computer images, material science and additive manufacturing are all important fields of study, which work together to study texture simulation in printed materials. The fine-grained reality and variety of real-world materials is difficult to represent using traditional texture creation methods based on procedural algorithms and physical modelling. This research explores the use of neural networks to simulate the textures in prints. The main focu…
Using Ai to Personalize Creative Learning Paths
The fast development of artificial intelligence has created additional opportunities to create highly adaptive and creativity-based learning environments. The paper proposes an AI-based framework of customizing the creative learning trajectory by means of incorporating cognitive modeling, profiling of the learners, and active content-adaptation. In contrast to conventional, static learning systems, the proposed one examines multimodal learner dat…
Effects of perceived review exaggeration on tourists’ behaviour: The role of offline influence
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Ai-Generated Compositions in Music Education
With the introduction of the creative process into the sphere of music learning, the introduction of the Artificial Intelligence (AI) has changed the way of composing, analyzing, and learning. The compositions created by AI give educators and learners new tools that could be applied to generate creativity and composing, and their interpretation of the musical form. The paper explains how AI has been used more and more as a potent application in t…
Neural Networks for Texture Simulation in Prints
Computer images, material science and additive manufacturing are all important fields of study, which work together to study texture simulation in printed materials. The fine-grained reality and variety of real-world materials is difficult to represent using traditional texture creation methods based on procedural algorithms and physical modelling. This research explores the use of neural networks to simulate the textures in prints. The main focu…
Using Ai to Personalize Creative Learning Paths
The fast development of artificial intelligence has created additional opportunities to create highly adaptive and creativity-based learning environments. The paper proposes an AI-based framework of customizing the creative learning trajectory by means of incorporating cognitive modeling, profiling of the learners, and active content-adaptation. In contrast to conventional, static learning systems, the proposed one examines multimodal learner dat…
Effects of perceived review exaggeration on tourists’ behaviour: The role of offline influence
Understanding the psychology of knowledge sharing and experience in digital service ecosystems
Drawing on service-dominant (SD) logic, which conceptualizes value as emerging through resource integration and use rather than direct technological outputs, the study examines how technology-mediated knowledge-sharing platforms (TMKSP) influence employee and employee-perceived customer experience using the DART (dialogue, access, risk assessment, transparency) framework of value co-creation. Employing a mixed-method approach, a pre-hoc qualitati…
AI and Metaverse as transformative tools for knowledge management: Behavioural reasoning and its implications for organizational performance
Creativity (2 works) · Adaptive Learning (1 works) · Advances in Cucurbitaceae Research (1 works) · AI in Service Interactions (1 works) · Analytic reasoning (1 works) · Artificial Intelligence in Games (1 works) · Artificial neural network (1 works) · Cognition (1 works) · Convolutional neural network (1 works) · Creativity in Education and Neuroscience (1 works)