Atul Narayan Fegade

@sbup.edu.in

Senior Assistant Professor
Sri Balaji University, Pune

Atul Narayan Fegade

EDUCATION

PhD + MBA

RESEARCH, TEACHING, or OTHER INTERESTS

Marketing, Strategy and Management, Management of Technology and Innovation
4

Scopus Publications

34

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Digital transformation for a sustainable environment
    Industry 5 0 Sustainable Business Practices for A Bright Future, 2025
  • ICT for women entrepreneurs in MSMEs in India
    Atul Narayan Fegade, Sushil Kumar Gupta, Vishnu Maya Rai
    ICT as A Driver of Women S Social and Economic Empowerment, 2023
    The micro, small, and medium enterprises (MSMEs) are the backbone of Indian economy. MSMEs have significant contributions in the entrepreneurial activities in India. There is special focus on women-owned enterprises by Ministry of MSME with offering many schemes. The economic empowerment of women can be achieved through promoting micro and small-scale industries of women. This would also help in reducing poverty and gender inequality. The percentage of female population in India as per the 2011 census is 48.49%, and as per the MSME Ministry's Annual Report 2020-21, only 20% of the 63 million MSMEs in India are owned by women. India ranks a lowly 70th among 77 countries covered in the Female Entrepreneurship Index. It also has the third-highest gender gap in entrepreneurship across the world. Only 33% of early-stage entrepreneurs in India are women; male entrepreneurial activity rates exceed female entrepreneurial rates by 7%.
  • Unleashing the Power of Generative Artificial Intelligence: Exploring its Boundless Potential and Overcoming Challenges in Academic Environments
    Atul Fegade, Rajesh Raut, Amruta Deshpande, Amit Mittal, Natashaa Kaul, et al.
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
    Integrating generative artificial intelligence tools can allow one to manage and develop novel business methods efficiently. With the introduction of self-learning generative artificial intelligence (GAI) tools, the corporate world is trying to figure out the applications and their business implications. Major technology companies like Microsoft, Google, Facebook, etc., have shown enormous interest in investing in ventures developing generative AI tools/models. These tools/models can be experimented with, and their business use is being explored. The study aims to explore the potential uses of generative AI (GAI) in academics through its current capabilities and applications. The study also highlights the potential challenges and concerns arising from using generative AI in academics. The study has used descriptive and quantitative methods to answer the research questions. The study has used a questionnaire based on the Likert scale to measure the significance of indirect variables, viz. perceived ease of use (PEOU) and perceived trust (PT) on direct variable adoption of generative artificial intelligence (AGAI) in academics. The sample size consists of 100 students and 100 university professors. The study Mentions that perceived ease of use (PEOU) positively influences GAI (AGAI) adoption. Also, perceived trust (PT) has a predictive ability of AGIA when controlling for PEOU. The use of generative AI in a few years will become imperative in most human lives, which makes it mandatory to explore the possible ways of its adoption in the mainstream rather than avoiding or restricting its usage in academics.
  • Detection of Malicious Social Bots with the Aid of Learning Automata on Twitter
    Swati Vashisht, Sushil Kumar Gupta, Atul Fegade, Shiv Ashish Dhondiyal, Rohit Kumar, et al.
    Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
    Violent social bots automate social interactions, create fictitious profiles to spread destructive propaganda, or assume the identities of followers to make misleading tweets. Furthermore, malicious social bots disseminate malicious root URLs, which reroute requests from online social media agents to certain malicious servers. Therefore, one of the most crucial jobs of the Twitter network is to distinguish between actual drug users and active social bots. Instead of taking as long to remove as social graph-based features, URL-based features can identify the cruel conduct of social bots. It’s difficult for malicious social bots to change URL redirect chains. This part offers a literacy automaton-grounded vicious social bot discovery (LA-MSBD) for safe (drug) agents on the Twitter network by fusing URL-based functionality with a trust computation model. The research discussed in this paper focuses on designing, utilizing, and evaluating robotic sensors based on deep literacy models rather than adding metadata about position or birthpoint counting. This paper also demonstrates how deep literacy models can compete with conventional machine-ability idioms. The findings of this study demonstrate that in-depth comprehension models can be made more complex by utilizing pre-trained models.

RECENT SCHOLAR PUBLICATIONS

  • AI-Driven Environmental Pollution Management
    SK Tiwari, A Fegade, M Kamal
    Springer , 2025
    2025
  • Digital Transformation for a Sustainable Environment
    A Fegade, M Arora, V Ahmad
    Complimentary Copy, 35 , 2025
    2025
  • Evaluating the effect of covid-19 on major world indices: In relation to gold, silver, crude oil, and bitcoin
    SK Gupta, A Fegade, P Padhye, A Mohture, P Kalshetti, YS Murthy
    Academy of Marketing Studies Journal 28 (2) , 2024
    2024
    Citations: 4
  • Unleashing the power of generative artificial intelligence: Exploring its boundless potential and overcoming challenges in academic environments
    A Fegade, R Raut, A Deshpande, A Mittal, N Kaul, V Khanna
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 22
  • ICT for Women Entrepreneurs in MSMEs in India
    AN Fegade, SK Gupta, VM Rai
    ICT as a Driver of Women’s Social and Economic Empowerment, 68-76 , 2023
    2023
  • Detection of malicious social bots with the aid of learning automata on Twitter
    S Vashisht, SK Gupta, A Fegade, SA Dhondiyal, R Kumar, G Revathy
    2022 5th International Conference on Contemporary Computing and Informatics … , 2022
    2022
    Citations: 2
  • Celebrity Branding and Celebrity Brand Value
    A Fegade
    Paridnya - The MIBM Research Journal 7 (1), 55-68 , 2020
    2020
    Citations: 1
  • Celebrity Branding and Celebrity Brand Value
    A Fegade
    Journal of Management Research and Practice 4 (1,2), 5-14 , 2018
    2018
  • Online branding: Building powerful brands through online social media networks
    A Fegade
    Chaitanya (Business Journal) PE Society’s Modern College of Engineering (MBA … , 2017
    2017
    Citations: 5
  • A study on mediating effect of Facebook and Twitter on selected brand equity dimensions of Bollywood celebrities present on these sites
    A Fegade
    SANKALAN 2 (2), 88-93 , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Unleashing the power of generative artificial intelligence: Exploring its boundless potential and overcoming challenges in academic environments
    A Fegade, R Raut, A Deshpande, A Mittal, N Kaul, V Khanna
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 22
  • Online branding: Building powerful brands through online social media networks
    A Fegade
    Chaitanya (Business Journal) PE Society’s Modern College of Engineering (MBA … , 2017
    2017
    Citations: 5
  • Evaluating the effect of covid-19 on major world indices: In relation to gold, silver, crude oil, and bitcoin
    SK Gupta, A Fegade, P Padhye, A Mohture, P Kalshetti, YS Murthy
    Academy of Marketing Studies Journal 28 (2) , 2024
    2024
    Citations: 4
  • Detection of malicious social bots with the aid of learning automata on Twitter
    S Vashisht, SK Gupta, A Fegade, SA Dhondiyal, R Kumar, G Revathy
    2022 5th International Conference on Contemporary Computing and Informatics … , 2022
    2022
    Citations: 2
  • Celebrity Branding and Celebrity Brand Value
    A Fegade
    Paridnya - The MIBM Research Journal 7 (1), 55-68 , 2020
    2020
    Citations: 1
  • AI-Driven Environmental Pollution Management
    SK Tiwari, A Fegade, M Kamal
    Springer , 2025
    2025
  • Digital Transformation for a Sustainable Environment
    A Fegade, M Arora, V Ahmad
    Complimentary Copy, 35 , 2025
    2025
  • ICT for Women Entrepreneurs in MSMEs in India
    AN Fegade, SK Gupta, VM Rai
    ICT as a Driver of Women’s Social and Economic Empowerment, 68-76 , 2023
    2023
  • Celebrity Branding and Celebrity Brand Value
    A Fegade
    Journal of Management Research and Practice 4 (1,2), 5-14 , 2018
    2018
  • A study on mediating effect of Facebook and Twitter on selected brand equity dimensions of Bollywood celebrities present on these sites
    A Fegade
    SANKALAN 2 (2), 88-93 , 2017
    2017