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Journal : Greenation International Journal of Engineering Science

Optimization Techniques in Real Estate Investment Portfolios: A Quantitative Approach Patel, Tarang; Singh, Pushpendra; Dhaakad, Deepak; Vaghela, Sidhraj; Chauhan, Rahul; Maseleno, Andino; Rizal Isnanto, R
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.263

Abstract

This study explores optimization techniques in real estate investment portfolios, focusing on balancing risk and return through diversification, sustainability, and technology integration. By analyzing responses from 104 participants across different demographic groups, the research examines how factors such as age, gender, education, and occupation influence the adoption of strategies like AI-driven decision-making, ESG considerations, and corporate governance. The findings reveal that while traditional optimization techniques remain essential, there is growing acceptance of advanced tools and sustainable practices. The study emphasizes the importance of a holistic approach to portfolio management, combining financial performance with ethical and environmental considerations. Future research can further investigate emerging technologies and global regulatory impacts on real estate investments.
Perceptions of Electric Vehicle Adoption among Young Adults in Ahmedabad: Exploring Influences and Implications Mehta, Hitarth; Rathod, Lakshita; Shah, Fenil; Bhatt, Aum; Machhvara, Jenil; Chauhan, Rahul; Maseleno, Andino
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.307

Abstract

This study explores the perceptions of young adults aged 18-30 in Ahmedabad, India, toward electric vehicle (EV) adoption. A quantitative approach was employed, gathering data from 104 respondents via a structured questionnaire. Key factors examined include vehicle preference, peer influence, and promotion of EVs. One-way ANOVA results indicated that age did not significantly impact these factors, suggesting that other variables, such as environmental concerns and technological advancements, may have a stronger influence on purchase intentions. The study highlights the growing awareness of sustainability and technology among youth, with implications for targeted marketing strategies. The research provides a foundation for future studies on EV adoption across different regions and age groups. Additionally, the findings contribute to the global conversation on reducing carbon emissions and increasing EV adoption for a sustainable future.
Impact of Artificial Intelligence and Digital Technologies on Consumer Behavior and Brand Perception: A Study of Young Consumers in Ahmedabad Samsukha, Akshita; Trivedi, Pratham; Baldi, Vansh; Store, Shreyas; Naik, Pratham; Chauhan, Rahul; Maseleno, Andino; Raisa, Kharchenko
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.339

Abstract

This study investigates the impact of artificial intelligence (AI) and digital technologies on consumer behavior and brand perceptions among young consumers in Ahmedabad. Using a quantitative approach, data was collected from 116 respondents through a structured questionnaire to examine AI-driven personalized experiences such as product recommendations, virtual assistants, and their influence on consumer attitudes and purchase intentions. Statistical analysis revealed that AI integration significantly enhances consumer satisfaction and influences purchase decisions, while demographic factors such as gender and education showed minimal influence on AI preferences. The findings highlight the potential of AI to shape future consumer engagement and purchasing behavior. This research contributes to the understanding of AI's role in modern retail and its implications for businesses aiming to leverage AI for personalized marketing.
The Role of Artificial Intelligence in Enhancing User Experience on OTT Platforms Chahwala, Keshav; Shubham, Chavda; Zalariya, Nihal; Dhruv, Aryan; Rakesh Shah, Arya; Chauhan, Rahul; Maseleno, Andino
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December - Feb
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.311

Abstract

This study investigates the impact of Artificial Intelligence (AI) on user experience and engagement with Over-the-Top (OTT) platforms, focusing on Ahmedabad, India. The research examines how AI-driven content personalization and predictive analytics influence user satisfaction and retention. Using a quantitative approach, data was collected from 101 respondents via a structured questionnaire and analyzed using SPSS software. Key findings reveal that AI-based content recommendations significantly enhance user satisfaction, with noticeable differences in engagement across age groups. Gender-based analysis shows a variance in time spent on platforms, though content preferences and response to recommendations remain consistent across genders. The study highlights the growing importance of AI in optimizing user experiences and driving engagement on OTT platforms. Future research can explore regional variations, ethical challenges, and evolving AI technologies in streaming services to further refine personalization strategies.
Co-Authors Agrawal, Heit Andino Maseleno Bachani, Jenith Baghadiya, Jenik Baldi, Vansh Barvaliya, Ram Bhatt, Aum Bhutra, Yuvraj Bohra, Hussain Chahwala, Keshav Chavda, Kishan Deep P, Baraiya desastra, Yolla zelika Dhaakad, Deepak Dhanak, Jaydev Dhruv, Aryan Dwivedi, Shaurya Eka Pariyanti Gafurjiwala, Moh. Kaif Goyal , Vikas Guha, Tannay Gurjar, Krishna Jadhwani, Om Jaju, Pooja Kacchara, Gul Kachhadiya, Diya Kalariya, Kush Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Khubchandani, Sania Kotak, Yash Machhvara, Jenil Makhija, Hitesh Meet Shah, Meet Mehta, Hitarth Mehta, Meet Mendpara, Lucky Mohnia, Tiya Monpara, Yesha Nagani, Purva Nagdevani, Dev Naik, Pratham Nurhamidah, Umi Padaliya, Om Parchani, Nilesh Patel, Diya Patel, Hetvi Patel, Himalay Patel, Kavya Patel, Mohit Patel, Neerav Patel, Raj Patel, Tarang Patel, Vasu Petel, Bhavya Prajapati, Hetal R Rizal Isnanto R. Rizal Isnanto Raisa, Kharchenko Raithatha, Bhavya Rajapara, Monil Rajkotiya, Abhi Rakesh Shah, Arya Ramchandani, Paras Ramrakhya, Divesh Rathod, Lakshita Rizal Isnanto, R Rizal Isnanto, R. Sah, Aditya Sakaria, Anuchi Samsukha, Akshita Samtani, Heena Sapra, Ruchi Seth, Dhruv Shah, Dhwanit Shah, Fenil Shah, Hitarth Shah, Nirmit Shah, Stuti Shah, Supan Shah, Tanish Sharma, Ansh Sharma, Yajurv Shriyal, Harsh Shubham, Chavda Singh, Pushpendra Sinh Zala, Harshvadhan Sompura, Jayesh Soni, Parth Store, Shreyas Suda, Pranjal Sulastri, Susi Thakkar, Krish Thakur, Aryan Tri Susilowati Trivedi, Pratham Unaliya, Maitri Vaghela, Sidhraj Vaja, Hitarthsinh Viramgama, Netra Yash, Panchal Zalariya, Nihal