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  1. Home
  2. Browse by Author

Browsing by Author "Kasilingam, Dharun"

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    Exploring the growth of COVID‐19 cases using exponential modeling across 42 countries and predicting signs of early containment using machine learning by Dharun Kasilingam
    (Wiley, 2020) Kasilingam, Dharun
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    Socio economic report 2020
    (MICA, 2020) Krishna, Rajneesh; Kasilingam, Dharun; Nagori, Viral; Mall, Sunita; Mehta, Rooshabh; Yagnik, Shailesh; Vani, Vina
    India has a tradition of collecting socio-economic statistical data through various sources including Population Census, National Sample Surveys, and as a by-product of administration. The advancement of digital technologies has enabled a growth in the availability of statistics. However, data gaps continue to exist on a number of emerging issues pertaining to geographies. It is critical to have statistics at various geographic levels for businesses, policymakers, researchers, and academia to effectively contribute to sustainable development. There has definitely been a significant improvement in the socio-economic development of India over the years. However, it is also evident that certain states, districts, and villages have outperformed the others leading to an imbalanced society. In-order to identify geographies that distinctly pose scopes for improvement, or demonstrates potential for business investments, it is necessary to have comparable statistical indicators. Recognizing this need, MICA-The School of Ideas, through MICA Marketing Intelligence (MIMI), has published this series of reports titled ÒSocio-Economic Report 2020Ó comprising of one book per state. The report presents 45 district level and 32 village-level indicators for all districts in a state and one village per district.
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    Socio economic report 2021
    (MICA, 2021) Mehta, Shailendra Raj; Kasilingam, Dharun; Mehta, Rooshabh; Yagnik, Shailesh; Vani, Vina
    Furthermore, to understand India’s full diversity, one must analyze District level data since this diversity is lost at the State and National levels. But then another problem presents itself. The number and geographic definition of the Districts changes from time to time, both when new states are formed, as was the case with Telangana, and also when there is an administrative reorganization, which happens somewhere the other on a fairly regular basis. Therefore, the source, the frequency, and the geography of the data must all be harmonized. Further, from the large mass of data that is available, a meaningful choice must be made. In this Report, we have curated 62 carefully selected variables for each of India’s 600+ districts. This gives us over 40,000 pieces of individual data that have to be presented in a meaningful form. For this, we had to draw upon data presentation techniques. All this was made possible by the deep experience of the MICA team, which has put together this Report. Several members of this team have been working on these datasets for over two decades each. This expertise was acquired in curating one of India’s largest socio-economic data repositories Ð which is the MIMI database at MICA. Currently, this has data on over 10,000 separate variables, from which the 62 have been chosen. The MICA Socio-Economic Report 2021 is in line with MICAÕs mission of being at the forefront of Strategic Marketing and Communication Management.
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    Storytelling in advertisements: Understanding the effect of humorand drama on the attitude toward brands by Dharun Kasilingam
    (Palgrave Macmillan, 2022) Kasilingam, Dharun
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    Systematic literature review on novel corona virus SARS-CoV-2: a threat to human era by Dharun Kasilingam
    (Springer, 2020) Kasilingam, Dharun
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    The effect of augmented reality in mobile applications on consumers' online impulse purchase intention: The mediating role of perceived value by Jay Trivedi, Dharun Kasilingam, Parvinder Arora and Sigma Soni
    (Wiley-Blackwell Publishing Ltd., 2022) Trivedi, Jay; Kasilingam, Dharun; Arora, Parvinder; Soni, Sigma
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    Understanding the adoption and willingness to pay for the internet of things (IOT) services by Dharun Kasilingam and Rajneesh Krishna
    (Wiley-Blackwell Publishing, 2021) Kasilingam, Dharun; Krishna, Rajneesh
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    Understanding the attitude and intention to use smartphone chatbots for shopping by Dharun Kasilingam
    (Elsevier, 2020) Kasilingam, Dharun
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    सामाजिक आर्थिक रिपोर्ट २०२१ (Socio economic report 2021
    (MICA, 2021) Mehta, Shailendra Raj; Kasilingam, Dharun; Mehta, Rooshabh; Yagnik, Shailesh; Vani, Vina
    भारत में, सामाजिक -आर्क सांख्यिकीय डेटा को विभिन्न स्रोतों के माध्यम से एकत्र किया जाता है जैसे कि जनसंख्या जनगणना, राष्ट्रीय नमूना सर्वेक्षण और आधिकारिक सरकारी डेटा। डिजिटल तकनीक की प्रगति ने सांख्यिकीय डेटा की आसान पहुंच और उपलब्धता को सक्षम किया है। हालांकि, इस तरह के डेटा में कई कारणों से अंतर मौजूद होता है। ऐसे अंतर की वजह से यह महत्वपूर्ण हो जाता है कि विभिन्न हितधारकों जैसे व्यवसायों, नीति निर्माताओं, शोधकर्ताओं और शिक्षाविदों को सक्षम बनाने के लिए हर समय सटीक और अद्यतन किया जाए ताकि वे सतत विकास में प्रभावी रूप से योगदान कर सकें । भारत में पिछले कु छ वर्षों में सामाजिक-आर्क विकास में उल्लेखनीय सुधार हुआ है। हालांकि, यह भी स्पष्ट है कि कु छ राज्यों, ज़िलों और गांवों ने दूसरों से बेहतर प्रदर्शन किया है जिससे समाज असंतुलित हो गया है। भारत के ऐसे भौगोलिक क्षेत्र जो आगे सुधार की गुंजाइश रखते हैं, या विकास और व्यापार निवेश की क्षमता का प्रदर्शन करते हैं, उनकी पहचान के लिए और विभिन्न क्षेत्रों में तुलना की जा सके ऐसे सांख्यिकीय संके तक होना सर्वोत्तम है। इस आवश्यकता को ध्यान में रखते हुए, MICA-The School of Ideas ने “सामाजिक-आर्क रिपोर्ट 2021” प्रकाशित की है जिसमें प्रति राज्य एक खंड शामिल है। यह रिपोर्टसारे राज्य और केन्द्र शासित प्रदेशों में सभी ज़िलों के लिए 62 संके तक प्रस्तुत करती है।

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