Faculty Publications

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    Women Empowerment Through Social Media: Insights from India
    (Springer, 2020) Pai, R.R.; Alathur, S.
    In recent times, social media has been used by people to participate in a particular event and has resulted in the generation of a large amount of data online. These data can be helpful for the decision-maker in promoting and devising necessary policies at the right time. The purpose of this paper is to understand the peoples’ sentiments and emotions about a recent social movement. Based on the result and analysis, the possible inferences have been presented. © Springer Nature Singapore Pte Ltd 2020.
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    Cloud-Based E-Learning Service: Insight from India
    (Springer, 2020) Vanitha, P.S.; Alathur, S.
    The factors influencing the adoption of a cloud platform in the development of e-learning service is identified in this study. The e-learning service based on a cloud platform is analyzed from single/multiple data center dimensions. In spite of developing e-learning infrastructure, the service of the cloud platform is often adopted. The cloud-based e-learning simulation environment is created using CloudAnalyst tool. The efficiency of the cloud is analyzed based on e-learning hosted on a single data center and multiple data centers. The service time and overall response time of the datacenter are analyzed through CloudAnalyst. The infrastructure cost estimation for both models is also calculated. The study identifies that these factors influence the development of e-learning services in a cloud platform. Earlier studies less analyze the influencing factors of the online courses in the cloud environment. In future research, the cost factor can also be considered in the development of e-learning services. Fewer studies are reported on e-learning service based on a cloud platform in the Indian context. The current study demonstrates how cloud Infrastructure as a Service (IaaS) improves the performance of the e-learning system. © Springer Nature Singapore Pte Ltd 2020.
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    Challenges and opportunities for coastal reservoir development in India
    (Elsevier, 2020) Sitharam, T.G.; Kolathayar, S.
    In India, presently 320 million people remain in the water-starved parts of the country, and according to the United Nations, 840 million people are expected to be water-starved in India by 2050. Although there has been no significant change in India’s rainfall pattern, the number of areas under drought in India is increasing every year. Increase in population is one of the reasons for water scarcity, but inefficient management of the precipitation received stands as the major cause. Although extreme rainfall events are significantly increasing, there is a spatial nonuniformity in the rainfall events that occur. This makes it difficult to preplan large-scale water storage at different locations. Solution to India’s water problem lies in conserving the abundant monsoon water bounty by storing it in coastal reservoirs for future use. This paper focuses on the challenges and opportunities in India for storing river floodwaters in coastal reservoir. The paper also presents the concept of Sarovar Mala, a chain of coastal reservoirs, an innovative concept that has the potential to ensure water availability to India throughout the year. © 2020 Elsevier Inc.
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    Examining the effects of vented dams on land use and land cover in the Shambhavi Catchment: a multitemporal sentinel imagery analysis
    (Elsevier Ltd, 2024) Chandana, S.; Aishwarya Hegde, A.; Umesh, P.; Chandan, M.C.
    The rapid expansion of the global economy has given rise to concerning ecological consequences, notably a dramatic increase in land cover change (LCC). This section presents how to use the Google Earth Engine (GEE) cloud platform to explore the administrative divisions of the Southern Indian Dakshina Kannada (DK) district, which were chosen for their LCC susceptibility. Leveraging GEE, we generated a time series dataset tracking LCC over a 4-year period (2019–22). Our findings demonstrate an impressive overall accuracy (OA) of 96.30% for 2019 and 95.47% for 2022. A significant revelation in our study is the 13.64% reduction in forested areas, accompanied by a 0.68% increase in urban development within the district. This research attempt offers vital insights into the impact of dam construction on LCC, aiding informed decisions on water resource management. This research promotes a sustainable and ecologically conscious approach to holistic development in the study region and beyond. © 2024 Elsevier B.V.
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    Does Board Gender Diversity Enhance the Sustainable Performance of Firms? Empirical Evidence From India
    (Emerald Publishing, 2025) Poornima, S.; Gopalakrishna, B.V.; Samanta, M.
    This study explores the link between board gender diversity and corporate sustainability disclosure. The study employs 417 Indian companies to investigate how the incorporation of corporate sustainability disclosure and gender diversity on the board of directors interrelate. The findings show that companies with a higher proportion of female directors enhance sustainable disclosure by taking favorable reporting measures to address environmental issues, social welfare concerns, and governance problems. The companies with more women on board incorporate highly sensitive initiatives regarding the environment, society, and overall governance. These results suggest that women directors add valuable diversity, leading to better decisions and a stronger focus on social and environmental concerns. This study extends the prevailing literature on gender studies and sustainability by presenting empirical recommendations about the role of females in corporate decision-making, specifically related to the sustainability of Indian firms. © 2026 Dhishna Pannikot. All rights reserved.
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    Overtaking behaviour of vehicles on undivided roads under mixed traffic conditions
    (Hong Kong Society for Transportation Studies Limited general@transportmetrica.org, 2015) Asaithambi, G.; Shravani, G.
    Overtaking is one of the most complex and important manoeuvre on undivided roads where the vehicles use the opposing lane to overtake the slower vehicles with the presence of oncoming vehicles from opposite direction. This process involves lane-change manoeuvres, acceleration and deceleration actions and estimation of relative speed of overtaking and overtaken vehicles, and also, estimation of speed and distance of the oncoming vehicle. Traffic on Indian roads is highly mixed in nature with widely varying static and dynamic characteristics of vehicles. These vehicles do not follow strict lane discipline and occupy any available lateral position on the road space. In the present study, details of overtaking data is collected on a two-lane two-way rural road using moving car observer method and registration plate method and overtaking characteristics of all types of vehicles under mixed traffic conditions are observed and mathematically modelled. Two types of overtaking strategies are observed in the field such as flying and overtaking. Graphs are plotted between the relative speed of the overtaking and overtaken vehicles against the overtaking time and negative correlation is found between the speed differential for all categories of vehicles and the total overtaking time. It was found the increase in flow rate causes an increase in demand of passing and decrease in passing supply.
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    Climatic effects on sugarcane productivity in India: A stochastic production function application
    (Inderscience Publishers, 2015) Singh, A.; Sharma, P.; Ambrammal, S.K.
    The present study estimates the influence of climatic and non-climatic factors on mean yield and yield variability of sugarcane crop in different weather seasons (e.g., rainy, winter and summer) in India. Sugarcane mean-yield for fourteen major sugarcane growing states from different agro-ecological zones are delimitated in panel data during 1971-2009. Regression coefficient for mean yield and yield variability production function (i.e. risk increasing or decreasing inputs) has been estimated through log-linear regression model with the help of Just and Pope (stochastic) production function specification. Empirical results based on feasible generalise least square (FGLS) estimations shows a significant effect of rainfall, maximum and minimum temperatures on sugarcane mean yield and yield variability. Whereas, average maximum temperature in summer and average minimum temperature in rainy season have a negative and statistically significant impact on sugarcane mean yield. Sugarcane mean yield positively gets affected with average maximum temperature during rainy and winter season. © © 2015 Inderscience Enterprises Ltd.
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    E-learning services: Insights from Twitter Analytics
    (Institute of Electrical and Electronics Engineers Inc., 2019) Vanitha, P.S.; Alathur, S.
    Electronic learning is a formalized teaching-learning service using electronic resources. With the help of Information and Communication Technologies (ICTs), knowledge can be shared via the Internet anywhere, anytime. Although, the massive growth of technologies available, e-learning service may not distribute equally in developing countries like India. The objective of the study is to explore the technological challenges of e-learning services in the Indian context. In the present study, the real-Time feedback about the technological challenges is collected directly from Twitter social media. Initially, the tweets were extracted based on the hashtags, and the location-based analysis is performed using geocoding. In this study, various types of technological challenges are identified, and the most influential factor is determined. It gives better results when this research is carried on developing countries like India. The suggestion provided in this research will help to decrease the technological challenges in the e-learning service. © 2019 IEEE.
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    Mobile health system framework in India
    (Association for Computing Machinery, 2019) Pai, R.R.; Alathur, S.
    The healthcare system in India has been progressive with the specific health policies evolved over a period of time. Currently, it is in a phase of incorporating mobile technology into healthcare service delivery (i.e., mobile health) to make it a patient-centric model for managing acute, chronic, and preventive health conditions. This provides authentic interactions between the patient/user and the healthcare professionals for seeking health communication and information during emergencies and disaster conditions. However, there exists a great challenge in integrating mobile health solutions within the existing system and acceptance among the individuals, as the patient data is primarily collected through sensors and while the interventions are connected electronically. With this aim, the present research by using qualitative interviews (among residents and technology entrepreneurs) attempts to propose a provenance framework for the mobile health system in India. It also highlights its strengths and weakness and delineates components identified from qualitative interviews for describing the proposed provenance framework. © 2019 Association for Computing Machinery.
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    Policies to Mitigate Select Consequence of Social Media: Insights from India
    (Springer, 2020) Chetty, N.; Alathur, S.
    Apart from the benefits to humanity, often, social media possess consequences such as online hate content, fake news, online abuse, cyber-bullying and other demeaning expressions. As the increased hate content causes several health issues, it is necessary to mitigate it. Hate content mitigation may attain sustainable development goals of United Nations. Therefore, the objective of the article is to identify the possible policies to mitigate social media consequence-online hate content. In this regard, online and offline opinions from the Indian respondents are gathered through the questionnaire designed for the purpose. The software which is developed in R programming language is used to analyse opinions. The analysis results reveal the role of government and non-government authorities for digital hate content reduction. The non-governmental communities-civil societies, private sectors, and intermediaries are more important to reduce digital hate content. © 2020, Springer Nature Singapore Pte Ltd.