Pooja Goel
Biographic Data
| ID | 4795153 |
|---|---|
| NAME | Pooja Goel |
| GIVEN NAMES | Pooja |
| FAMILY NAME | Goel |
| SIGNATURE | GOEL P |
| AFFILIATIONS | Noida International University |
| ORCID | 0000-0001-7635-5842 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Prioritizing motivators influencing intentions to visit spiritual destinations in India: An application of analytical hierarchical process (AHP) approach
Purpose Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many spiritual destinations where some of this life's essences can be sought to enjoy harmony and peace. The study aims to prioritize motivators driving the intentions of the tourists to visit the spiritual destination. Design/methodology/approach The current study applied…
Automated Editing Tools for Media Students: A Comparative Study
Purpose: To assess automated editing tools applied in the media education on the basis of technical and pedagogical terms.Methodology: Four categories of automated editing tools were evaluated based on a multi-dimensional model based on the level of automation, usability, creative control, pedagogical compatibility, and workflow efficiency. A student case study based on tasks was added to quantitative scoring.Results: The results show that high a…
Predictive Audience Engagement for Performing Arts
The primary indicator of performing arts impact and sustainability is the audience engagement, which is traditionally measured retrospectively and in coarse-grain, as surveys, attendance statistics, and critical reviews. The current paper suggests a human-oriented predictive audience engagement framework incorporating cognitive theory, multimodal behavioral and emotive predictors, and human-in-the-loop analytics into a real-time deployable system…
Predictive Market Trends in Printing and Photography
The printing and photography sectors are changing very fast due to digitalization, automation and using data to make decisions. The analysis of market trends which can be predicted as a key to the analysis of the demand fluctuations, the technological use, and the changing preferences of consumers in such visual-oriented sectors. This paper will examine the predictive market trends in printing and photography by using a combination of economic in…
Intelligent Movement Tracking in Performing Arts
Intelligent movement tracking performing arts has become a paradigm shift in research, where computer intelligence is applied to creative performance. Conventional methods of motion analysis, most of which rely on manual observation, marker tracking systems, or single sensory modes, are incapable of tracking the subtleties, fluidity, and stylistic diversity of dances, theatre and performance. The recent innovations in artificial intelligence, mul…
Ai-Based Restoration of Ancient Sculptures
Recent conservation of old sculptures is still a primary reinforcement to cultural heritage conservation; it has traditionally been based on the hand process that is subjective, irreversible and time consuming. The paper introduces a framework of AI-based restoration which incorporates multimodal data gathering, hybrid neural model, and expert-guided verification to attain accurate and ethically controlled digital restoration. The system makes us…
Emotional Computing in Abstract Art Analysis
Combining emotional computers and abstract art results in another perspective to the way people feel upon looking at things that are not pictures. This paper uses machine learning and deep learning to investigate computer methods of determining how abstract art affects individuals. It applies computational aesthetics, and concepts of feeling in the visual perception towards developing a model of the impact of colours, textures, and shapes to the …
Educational Value of Ai-Powered Folk Art Repositories
The application of artificial intelligence (AI) to a psychological collection of folk art is one of the revolutionary methods for studying, preserving, and teaching cultural history in the digital era. AI empowered folk art repositories employ the latest technologies such as computer vision, machine learning, and natural language processing to collect, categorize, tag, and recommend various types of folk art. Not only are these sites used to safe…
Visual Communication Strategies in Digital Crisis Management: An Ai-Enabled Media Analysis Approach
This paper examines the visual communication techniques used in crisis management regarding the digital environment with the help of an AI-enhanced media analysis system that allows evaluating the tools of clarity, credibility, and emotional appeal on the platform quickly on the high-velocity. In times of crisis, the visuals that are spread through social media, news portals, and official dashboards have a potent impact in shaping the perception …
Art Curation Algorithms Machine Learning in Museum Education
This paper introduces a consolidated machine learning framework for adaptive art curation for improving museum education. It proposes a system that combines computer vision, natural language processing, recommendation algorithms, and multimodal fusion in order to interpret the works of art and curatorial metadata, and create custom learning pathways given to visitors. A mathematical model is used to formalize the representation of the artwork, th…
Food waste avoidance behavior: How different are generation Z travelers
This study investigates the relationship between travelers’ generativity, prosocial attitudes, consumption values, and food waste avoidance behavior. We develop a theoretical model based on the motivation-opportunity-ability theory and tested it using data collected from a sample of Generation Z (n = 389) and older travelers (n = 262) to Delhi, India. Partial-least-squares structural equation model analysis is used as the data analytic tool. The …
Influencing the Purchase Path: Exploring Social Media Influencer's Role in E-Commerce Consumer Decision Making
The rise of social media influencers (SMIs) has significantly transformed e-commerce marketing, particularly between 2019 and 2024. As digital platforms became central to consumer behavior, SMIs emerged as crucial players in shaping purchasing decisions through personalized and authentic engagement. This study explores the role of SMIs in influencing the e-commerce consumer decision- making process, focusing on brand awareness, product considerat…
Demystifying the Effect of Social Enjoyment in Shopping Behavior for Electronic Products: A Approach to Understand Influencers Marketing
The paper focuses on the significance of influencers and how they promote their videos. Social enjoyment is studied in the study which is derived after watching the videos of the influencers on social media platforms. The videos on electronic products create a positive attitude towards the product and consumers think of buying it. Design/ Research Methodology/ Approach: Purpose sampling is used to carry out research, and the study is carried out …
Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering significant opportunities for society and business organizations. The growing interest of scholars and practitioners in AI has resulted in the divers…
Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model
Contagious diseases and tourism: A systematic review based on bibliometric and content analysis methods
Food waste avoidance behavior: How different are generation Z travelers
This study investigates the relationship between travelers’ generativity, prosocial attitudes, consumption values, and food waste avoidance behavior. We develop a theoretical model based on the motivation-opportunity-ability theory and tested it using data collected from a sample of Generation Z (n = 389) and older travelers (n = 262) to Delhi, India. Partial-least-squares structural equation model analysis is used as the data analytic tool. The …
Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model
Contagious diseases and tourism: A systematic review based on bibliometric and content analysis methods
Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions
Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With the proliferation of digital computing devices and the emergence of big data, AI is increasingly offering significant opportunities for society and business organizations. The growing interest of scholars and practitioners in AI has resulted in the divers…
Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model
Influencing the Purchase Path: Exploring Social Media Influencer's Role in E-Commerce Consumer Decision Making
The rise of social media influencers (SMIs) has significantly transformed e-commerce marketing, particularly between 2019 and 2024. As digital platforms became central to consumer behavior, SMIs emerged as crucial players in shaping purchasing decisions through personalized and authentic engagement. This study explores the role of SMIs in influencing the e-commerce consumer decision- making process, focusing on brand awareness, product considerat…
Demystifying the Effect of Social Enjoyment in Shopping Behavior for Electronic Products: A Approach to Understand Influencers Marketing
The paper focuses on the significance of influencers and how they promote their videos. Social enjoyment is studied in the study which is derived after watching the videos of the influencers on social media platforms. The videos on electronic products create a positive attitude towards the product and consumers think of buying it. Design/ Research Methodology/ Approach: Purpose sampling is used to carry out research, and the study is carried out …
Predictive Market Trends in Printing and Photography
The printing and photography sectors are changing very fast due to digitalization, automation and using data to make decisions. The analysis of market trends which can be predicted as a key to the analysis of the demand fluctuations, the technological use, and the changing preferences of consumers in such visual-oriented sectors. This paper will examine the predictive market trends in printing and photography by using a combination of economic in…
Intelligent Movement Tracking in Performing Arts
Intelligent movement tracking performing arts has become a paradigm shift in research, where computer intelligence is applied to creative performance. Conventional methods of motion analysis, most of which rely on manual observation, marker tracking systems, or single sensory modes, are incapable of tracking the subtleties, fluidity, and stylistic diversity of dances, theatre and performance. The recent innovations in artificial intelligence, mul…
Ai-Based Restoration of Ancient Sculptures
Recent conservation of old sculptures is still a primary reinforcement to cultural heritage conservation; it has traditionally been based on the hand process that is subjective, irreversible and time consuming. The paper introduces a framework of AI-based restoration which incorporates multimodal data gathering, hybrid neural model, and expert-guided verification to attain accurate and ethically controlled digital restoration. The system makes us…
Emotional Computing in Abstract Art Analysis
Combining emotional computers and abstract art results in another perspective to the way people feel upon looking at things that are not pictures. This paper uses machine learning and deep learning to investigate computer methods of determining how abstract art affects individuals. It applies computational aesthetics, and concepts of feeling in the visual perception towards developing a model of the impact of colours, textures, and shapes to the …
Educational Value of Ai-Powered Folk Art Repositories
The application of artificial intelligence (AI) to a psychological collection of folk art is one of the revolutionary methods for studying, preserving, and teaching cultural history in the digital era. AI empowered folk art repositories employ the latest technologies such as computer vision, machine learning, and natural language processing to collect, categorize, tag, and recommend various types of folk art. Not only are these sites used to safe…
Visual Communication Strategies in Digital Crisis Management: An Ai-Enabled Media Analysis Approach
This paper examines the visual communication techniques used in crisis management regarding the digital environment with the help of an AI-enhanced media analysis system that allows evaluating the tools of clarity, credibility, and emotional appeal on the platform quickly on the high-velocity. In times of crisis, the visuals that are spread through social media, news portals, and official dashboards have a potent impact in shaping the perception …
Art Curation Algorithms Machine Learning in Museum Education
This paper introduces a consolidated machine learning framework for adaptive art curation for improving museum education. It proposes a system that combines computer vision, natural language processing, recommendation algorithms, and multimodal fusion in order to interpret the works of art and curatorial metadata, and create custom learning pathways given to visitors. A mathematical model is used to formalize the representation of the artwork, th…
Food waste avoidance behavior: How different are generation Z travelers
This study investigates the relationship between travelers’ generativity, prosocial attitudes, consumption values, and food waste avoidance behavior. We develop a theoretical model based on the motivation-opportunity-ability theory and tested it using data collected from a sample of Generation Z (n = 389) and older travelers (n = 262) to Delhi, India. Partial-least-squares structural equation model analysis is used as the data analytic tool. The …
Prioritizing motivators influencing intentions to visit spiritual destinations in India: An application of analytical hierarchical process (AHP) approach
Purpose Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many spiritual destinations where some of this life's essences can be sought to enjoy harmony and peace. The study aims to prioritize motivators driving the intentions of the tourists to visit the spiritual destination. Design/methodology/approach The current study applied…
Automated Editing Tools for Media Students: A Comparative Study
Purpose: To assess automated editing tools applied in the media education on the basis of technical and pedagogical terms.Methodology: Four categories of automated editing tools were evaluated based on a multi-dimensional model based on the level of automation, usability, creative control, pedagogical compatibility, and workflow efficiency. A student case study based on tasks was added to quantitative scoring.Results: The results show that high a…
Predictive Audience Engagement for Performing Arts
The primary indicator of performing arts impact and sustainability is the audience engagement, which is traditionally measured retrospectively and in coarse-grain, as surveys, attendance statistics, and critical reviews. The current paper suggests a human-oriented predictive audience engagement framework incorporating cognitive theory, multimodal behavioral and emotive predictors, and human-in-the-loop analytics into a real-time deployable system…
Aesthetic Perception and Analysis (4 works) · Business (4 works) · Computer Science (4 works) · Engineering (4 works) · Marketing (4 works) · Advertising (3 works) · Analytics (2 works) · Art Education and Development (2 works) · Automation (2 works) · Big data (2 works)