Business, Commerce, Economics & Computer Sciences: Recent submissions

  • Decisive moments at Emerald Lawns: Manoj Joshi's dilemma 
    Borde, N.; Mahatme, M.; Gore, S.; Hegde-Desai, P.; Nirmala, R.; Mahatme, V. (Asian Case Research Journal. 28(3); 2024; 175-194.)
    Manoj Joshi, the central character in this case, is the driving force behind Emerald Lawns. Emerald Lawns' story unfolds in the unique context of Mollem, an emerging market characterized by rich natural resources and ...
  • Impact of natural disasters on educational attainment in India: a panel data analysis 
    Hussain, Y.R.; Mukhopadhyay, P. (Discover Sustainability. 5; 2024; ArticleID_279.)
    Natural disasters are known to adversely affect welfare, especially education. This can lead to a loss in human capital, reducing future growth and development. We use data from two of the latest rounds of the India Human ...
  • Empowering diversity: Goa's path to inclusive tourism development 
    Lingadkar, P.R.; Sankaranarayanan, K.G. (ShodhKosh: Journal of Visual and Performing Arts. 5(1); 2024; 1848-1860.)
    This study explores the dynamics of stakeholder involvement in rural-urban tourism development, with a focus on the role of marginalized communities in fostering inclusive and culturally sustainable tourism practices. The ...
  • Improved Metric Space for Shape Correspondence 
    Bindal, M.; Kamat, V.V. (Proc. 8th International Conference on Computer Vision and Image Processing-CVIP 2023. 2024; 382-393.)
    Shape correspondence is a fundamental task of finding a map among the elements of a pair of shapes. Particularly, non-rigid shapes add to the challenge of computing correspondences as they have their respective metric ...
  • Detail preserving non-rigid shape correspondences 
    Bindal, M.; Kamat, V.V. (Journal of WSCG. 31; 2023; 323-330.)
    Understanding shapes is an organic process for us (humans) as this is fundamental to our interaction with the surrounding world. However, it is daunting for the machines. Any shape analysis task, particularly non-rigid ...
  • Diverse bases for functional spaces for non-rigid shape correspondence 
    Bindal, M.; Kamat, V.V. (Ingenierie des Systemes d'Information. 29(4); 2024; 1405-1422.)
    Computing meaningful correspondences for shapes undergoing non-rigid deformations is a fundamental task, challenging shape analysis community for many decades. The functional map framework has emerged as a powerful tool ...
  • Social Media Platforms and COVID-19-Related Misinformation in India (Chapter 8) 
    Shringare, A.; Dhume, P.; Pawaskar, P. (Text and Social Media Analytics for Fake News and Hate Speech Detection, Edi. by Hemant Kumar Soni, Sanjiv Sharma, G.R. Sinha. 2024; 146-165.)
    There was an upsurge in the spread of misinformation during the first and second wave of COVID-19 in India to the extent that, along with health hygiene, it also became important to practice information hygiene. Social ...
  • Evaluating ESG mutual fund financial performance in India: A comparative analysis with conventional equity funds (Chapter 13) 
    Pawaskar, P.; Dhume, P. (Trends in Business, Economics and Management, Ed. by Arjun Gope, Sanjib Banik, Biplab Lagardo, Sevika Debbarma. 2023; 97-105.)
    Environmental, Social, and Governance (ESG) mutual funds have garnered substantial attention and popularity in recent times. These funds transcend the confines of conventional financial metrics by incorporating environmental, ...
  • Artificial intelligence and machine learning in customer satisfaction: A study of banks using the UTAUT model 
    Pawaskar, P.; Nattuvathuckal, B. (Parikalpana: KIIT Journal of Management. 20(1); 2024; 163-180.)
    Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the financial sector by offering solutions that cater to evolving customer expectations. These technologies provide more streamlined, innovative, ...
  • Modified transfer learning frameworks to identify potato leaf diseases 
    Lanjewar, M.; Morajkar, P.P.; Payaswini, P. (Multimedia Tools and Applications. 83(17); 2024; 50401-50423.)
    Potato diseases such as early and late blight are the most lethal diseases that can cause significant damage to potato production. Detecting these diseases early and making a precise diagnosis will help the farmers to ...

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