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International Journal of Global Sustainable Research
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30264677     DOI : https://doi.org/10.59890/ijgsr.v1i4
International Journal of Global Sustainable Research (IJGSR) is an international, double-blind peer-reviewed, open-access journal published by Multitech Publisher. IJGSR publishes original and full-length articles that reflect cutting-edge research and developments in both theoretical and practical aspects of Environment, technology, health sciences, Economics, and Society with Sustainability. It provides an academic and practical platform for professionals and researchers to contribute innovative work in the field.
Arjuna Subject : Umum - Umum
Articles 5 Documents
Search results for , issue "Vol. 2 No. 10 (2024): October 2024" : 5 Documents clear
Comparative Analysis Between Pre and Post GST on Tourist Stay in Hotel in Ahmedabad City Akash Jadav; Vasu Kotadiya; Jignesh Vidani
International Journal of Global Sustainable Research Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i10.2881

Abstract

This study examines the comparative impact of the Goods and Services Tax (GST) on tourist stays in hotels in Ahmedabad, focusing on tourist behavior and preferences before and after its implementation. Using a structured approach, the study analyzed associations between age and key factors such as hotel category preferences, perceptions of pricing and transparency, and overall satisfaction. The findings reveal limited but nuanced changes in tourist behavior post-GST. While GST aimed to simplify taxation and enhance transparency, age showed weak correlations with hotel preferences and perceptions, indicating that other factors, such as income, travel purpose, and service quality, play a more significant role. Budget hotels benefitted from their affordability under GST, while luxury hotels faced challenges due to higher tax rates. The study also highlights the importance of transparency, with tourists across age groups valuing clear and itemized billing practices. Practical implications include the need for hoteliers to enhance service quality, adopt competitive pricing strategies, and prioritize transparency in billing to improve customer satisfaction. Policymakers are recommended to revisit GST rates for luxury hotels and offer support for smaller hotels in compliance and marketing. The study contributes to understanding the GST's impact on the hospitality sector and calls for future research on additional demographic and psychographic factors, regional comparisons, and the long-term implications of GST on tourism. These insights help stakeholders align their strategies with consumer expectations in a post-GST environment
To Study the Factors Affecting of GEN Z Visit to Various Heritage Site Avadhi Kothiya; Krishna Trivedi; Jignesh Vidani
International Journal of Global Sustainable Research Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i10.2882

Abstract

Running into research, it investigates the various features that put Generation Z in travel destinations pertaining to cultural tourism, with a particular aim to understand the trends framing incidences of cultural interactions in the present media age. While heritage tourism thus encounters a Generation Z more digital-savvy, digitally-adapted, and access-focused in finding real culture experiences, the research pinpoints the setbacks prompting Generation Z to visit cultural heritage sites among new entrenchment improvement technologies such as augmented reality and virtual reality; the effect of their peers and social media influence; and other factors such as sustainability, diversity, and the requisite of engaging activity-based learning. The research therefore underscores the sustainability and corporate greening view since Gen Z is said to care about the environment. The study thus offers not only valuable theoretical inputs to the literature on consumer behaviour but also actionable implications for the management of heritage sites and tourism organisations in terms of guidelines for communicating with and marketing to Gen Z generation; this includes embracing the role of digital technologies in experiential interactions, lower price points, and so on. These calls from theory to research, therefore, create an urgency in rethinking the existing notion of heritage consumption regarding multicultural tourist digital interactions and their implications for sustainability and cultural authenticity. This research thus contributes to the ongoing discourse on engaging with heritage tourism for Generation Z and strategizes on the possible preservation of this object of interest against forever changing into the cultural and media environment
To Study Gen-Z Perception about Cosmetic Beauty Ayurvedic Brands in Ahmedabad City Shubham Suthar; Pratiksha Agrawat; Jignesh Vidani
International Journal of Global Sustainable Research Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i10.2889

Abstract

The article deals with the effects of age on the perception of consumers towards Ayurvedic cosmetics, in regard to price, brand reputation, packaging, safety, stability, and social media influence. This work uses a few ideas along with statistical analysis to determine whether or not there is an influence on consumer opinion towards Ayurvedic cosmetics based on age in comparison with non-Ayurvedic variants. According to the study, there does not exist any strong correlation between age or several customers' perceptions. Instead, product's effectiveness, consciousness of the environment, and consciousness of health are viewed to be strongly influencing purchasing behaviour. The study supports a new approach to traditional age-based marketing segmentation and focuses psychographic segmentation, such as sustainability and health. Also, the minor effect of social media advertising efforts on buying choices shows 
Analysis of Urea Fertilizer Production, Pricing, and Distribution in India in 2023: A Global and Domestic Perspective Shivam Satyawan Madrewar; Snehal Sathe; Shlok Dongare; Swapnil Subhash Bade; Payal Navnath Bandgar; Sakshi Sharad Jagadale; Anuja Raghunath Gamane
International Journal of Global Sustainable Research Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i10.2906

Abstract

This research paper analyzes the trends in urea fertilizer production, pricing, and distribution in India throughout 2023, with a focus on international market dynamics. The study highlights the fluctuations in global urea prices, domestic production and import figures, state-wise fertilizer requirements, and the performance of listed fertilizer companies. The paper also examines the impact of these factors on domestic prices, sales, and availability across various Indian states. This research aims to provide valuable insights for policymakers, industry stakeholders, and agricultural planners, ensuring efficient fertilizer management and availability. The analysis draws from government reports, industry data, and market trends, offering a comprehensive understanding of the urea fertilizer sector’s performance in India amidst changing global fertilizer prices
A Research Report on “Artificial Intelligence Drive Predictive Analytics in Decision Making E-Commerce” Aryan Shingala; Jignesh Vidani
International Journal of Global Sustainable Research Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i10.2907

Abstract

This research explores how Artificial Intelligence (AI) is revolutionizing decision-making in e-commerce through predictive analytics. Predictive analytics leverages AI-powered algorithms to analyze vast amounts of customer data, including browsing behavior, purchase history, and preferences, to anticipate future trends and behaviors. This capability enables e-commerce businesses to personalize customer experiences, optimize pricing strategies, forecast demand, and improve inventory management. The study highlights the role of AI techniques such as machine learning, deep learning, and natural language processing in identifying patterns and generating actionable insights. By focusing on case studies and real-world applications, this research demonstrates how AI-driven predictive analytics enhances operational efficiency, boosts customer satisfaction, and drives business growth in the competitive e-commerce landscape

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