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Ritanjali Majhi

Biographic Data

ID6734522
NAMERitanjali Majhi
GIVEN NAMESRitanjali
FAMILY NAMEMajhi
SIGNATUREMAJHI R
AFFILIATIONSNational Institute of Technology Karnataka
ORCID0000-0001-6610-4732
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • From margins to mainstream

    Open Access•Likhil Sukumaran, Biplab Bhattacharjee et al.•ARTICLE•Tourism and Hospitality Research•2026

    Indigenous alcoholic beverages remain underexplored in tourism research despite their cultural and economic potential, especially in developing economies where global brands dominate consumption. This exploratory study investigates how such beverages can be repositioned as experiential assets within gastronomic tourism, using Kerala’s toddy as a case study. A mixed-method approach was employed, combining machine learning–based clustering of Insta…

  • Toddy trends and the organic conundrum

    Open Access•Likhil Sukumaran, Ritanjali Majhi•ARTICLE•British Food Journal•2024

    Purpose This study aims to explore and understand the challenges and opportunities presented by the rising demand for organic products in the context of toddy consumption and marketing. Design/methodology/approach This research examines consumer behaviour and decision-making patterns using decision tree analysis. A survey questionnaire based on established theories was distributed to individuals above the legal drinking age of 23 in Kerala, India…

  • Prediction of crop yield using climate variables in the south-western province of India

    Open Access•Pradyot Ranjan Jena, Babita Majhi et al.•ARTICLE•Environment Development and…•2023

  • Analysis and prediction of Covid ‐19 trajectory

    Open Access•Ritanjali Majhi, Rahul Thangeda et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1•References: 1

    The outbreak of Coronavirus 2019 (COVID-19) has impacted everyday lives globally. The number of positive cases is growing and India is now one of the most affected countries. This paper builds predictive models that can predict the number of positive cases with higher accuracy. Regression-based, Decision tree-based, and Random forest-based models have been built on the data from China and are validated on India's sample. The model is found to be …

  • Behavior and perception of younger generation towards green products

    Open Access•Ritanjali Majhi•ARTICLE•Journal of Public Affairs•2020•References: 1

    As we know, the most important goal of an organization is to meet the market demand, and also to go with the trend of the market. And currently, the term “Green Marketing” is the buzz word in the market. It is defined as “the strategy used by an organization to produce and market the products in an environment‐friendly way, i.e., an attempt to reduce the negative impact of the product on the environment. We can now observe that the young generati…

  • Analysis and prediction of Covid ‐19 trajectory

    Open Access•Ritanjali Majhi, Rahul Thangeda et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1•References: 1

    The outbreak of Coronavirus 2019 (COVID-19) has impacted everyday lives globally. The number of positive cases is growing and India is now one of the most affected countries. This paper builds predictive models that can predict the number of positive cases with higher accuracy. Regression-based, Decision tree-based, and Random forest-based models have been built on the data from China and are validated on India's sample. The model is found to be …

  • Analysis and prediction of Covid ‐19 trajectory

    Open Access•Ritanjali Majhi, Rahul Thangeda et al.•ARTICLE•Journal of Public Affairs•2020•Cited by: 1•References: 1

    The outbreak of Coronavirus 2019 (COVID-19) has impacted everyday lives globally. The number of positive cases is growing and India is now one of the most affected countries. This paper builds predictive models that can predict the number of positive cases with higher accuracy. Regression-based, Decision tree-based, and Random forest-based models have been built on the data from China and are validated on India's sample. The model is found to be …

  • Behavior and perception of younger generation towards green products

    Open Access•Ritanjali Majhi•ARTICLE•Journal of Public Affairs•2020•References: 1

    As we know, the most important goal of an organization is to meet the market demand, and also to go with the trend of the market. And currently, the term “Green Marketing” is the buzz word in the market. It is defined as “the strategy used by an organization to produce and market the products in an environment‐friendly way, i.e., an attempt to reduce the negative impact of the product on the environment. We can now observe that the young generati…

  • Prediction of crop yield using climate variables in the south-western province of India

    Open Access•Pradyot Ranjan Jena, Babita Majhi et al.•ARTICLE•Environment Development and…•2023

  • Toddy trends and the organic conundrum

    Open Access•Likhil Sukumaran, Ritanjali Majhi•ARTICLE•British Food Journal•2024

    Purpose This study aims to explore and understand the challenges and opportunities presented by the rising demand for organic products in the context of toddy consumption and marketing. Design/methodology/approach This research examines consumer behaviour and decision-making patterns using decision tree analysis. A survey questionnaire based on established theories was distributed to individuals above the legal drinking age of 23 in Kerala, India…

  • From margins to mainstream

    Open Access•Likhil Sukumaran, Biplab Bhattacharjee et al.•ARTICLE•Tourism and Hospitality Research•2026

    Indigenous alcoholic beverages remain underexplored in tourism research despite their cultural and economic potential, especially in developing economies where global brands dominate consumption. This exploratory study investigates how such beverages can be repositioned as experiential assets within gastronomic tourism, using Kerala’s toddy as a case study. A mixed-method approach was employed, combining machine learning–based clustering of Insta…

Geography (3 works) · Mathematics (3 works) · Business (2 works) · Computer Science (2 works) · Culinary Culture and Tourism (2 works) · Econometrics (2 works) · Engineering (2 works) · Machine learning (2 works) · Marketing (2 works) · Perception (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae