Faculty Publications
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Item Determinants of e-participation in the citizens and the government initiatives: Insights from India(Elsevier Ltd, 2016) Alathur, S.; Ilavarasan, P.; Gupta, M.P.The paper attempts to examine the determinants of two types of citizens' e-participation - initiated by the citizens and the government. The factors of e-participation were delineated from a review of democracy and e-participation literature and a regression model was developed. On the basis of 407 responses collected through an online and offline survey among the Indian participants, the model was tested. The analysis showed that the citizens' participation efficacy and values determine e-participation of both types. For the citizens' initiatives freedom to participate and legal support for the participation efforts were also the determining factors. The extant research on types of e-participation services is inadequate. The paper attempted to fill the gap and contributes in i) explaining the importance of facilitating multiple stakeholders' initiatives for improved citizens' participation ii) differentiating determining factors among e-participation initiatives and iii) suggesting policy recommendations for successful e-participation initiatives. The future research can focus on determinants for collaborative service initiatives from the citizens and government. © 2016 Elsevier Ltd.Item Workplace Spirituality and Subjective Happiness Among High School Teachers: Gratitude As A Moderator(Elsevier Inc. usjcs@elsevier.com, 2019) Mahipalan, M.; Sheena, u.Background and Objective: Spirituality and well-being are two constructs related to optimal levels of human functioning. This study attempts to link the concept of spirituality at work and subjective happiness, which is a facet of well-being. The role of grateful disposition is also examined by incorporating gratitude as a moderator Method: Data were collected using a structured questionnaire from high school teachers working with government schools in the southern region of India. Hypothesised relationships were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) Results: Results reveal significant relationships between workplace spirituality, subjective happiness, and gratitude. Gratitude was also found to be a significant moderator, which exercised a positive influence on the workplace spirituality-happiness relationship. Conclusion: The study has contributed to the evolving literature on workplace spirituality by elucidating its relationship with positive psychology. Workplace spirituality could play a significant role in building substantial happiness for individuals in the long run. © 2018 Elsevier Inc.Item Evolution of Fertiliser Use and its Impact on Maize Productivity in Kenya: Evidence from Multiple Surveys(Springer Science and Business Media B.V., 2021) Jena, P.R.; De Groote, H.; Nayak, B.P.; Hittmeyer, A.During the 1990s, the Kenyan agricultural sector became increasingly liberalised. For many years, both government- and non-government organisations have advised farmers on fertiliser doses, and therefore, an increase in fertiliser adoption resulting in higher yields has been expected. We analyse the evolution of fertiliser use and its impact on maize productivity and household incomes in Kenya, using four household surveys conducted between 1992 and 2013. Each survey represented all six maize-producing zones of Kenya. The results show that the percentage of fertiliser users among maize farmers has increased slightly over the years (from 62% in 1992 to 65% in 2013), and the quantity of fertiliser applied per ha has increased (from 82 kg/ha in 1992 to 100 kg/ha in 2013) but remains far below recommended levels. Therefore, maize yields have remained stagnant, or even decreased slightly (from 1360 kg/ha in 1992 to 1116 kg/ha in 2013). We also observe that the following factors affect fertiliser use and maize yields: education of the household head; area under maize cultivation; agroecological zone; uneven access to extension services; and food insecurity. We also find that fertiliser use has a positive impact on both maize yields and household income. We conclude that the liberalisation of fertiliser markets in Kenya did not have the desired effect of increasing fertiliser use and consequently maize yields, except in the high potential maize-growing areas. Possible explanations include both market factors, e.g. high prices, and non-market factors, e.g. access to information. We make two policy recommendations based on these findings – firstly, the targeted outreach of extension services should be considered, to increase fertiliser use and yields in less-productive regions, and secondly, policies should be considered that incorporate provisions for weather shocks. © 2020, International Society for Plant Pathology and Springer Nature B.V.Item Mobile health intervention and COVID-19 pandemic outbreak: insights from Indian context(Emerald Group Holdings Ltd., 2021) Pai, R.R.; Alathur, S.Purpose: This paper discusses the need for government and healthcare organization to implement mobile phone-based solutions for healthcare during the Coronavirus (Covid-19) pandemic. It also highlights the challenges and/or barriers to the rapid introduction, implementation and management of these and other innovative solutions to health service delivery during the current situation Design/methodology/approach: The data include both qualitative and quantitative, collected from the primary interview-based case study and questionnaire survey. It also uses insights from the general populations, healthcare professionals and health information technology developers to understand the role of a mobile health intervention in the COVID-19 pandemic outbreak. Findings: Healthcare professionals and health information technology developers are confident that the use of mobile health technology and applications has the ability to assist in monitoring and controlling the COVID-19 outbreak. The key advantages of using mobile phone technology are: increased awareness, improved assistance in tracking and testing casualties, improved assistance in seeking and scheduling health information and medical appointments, increased social distancing, improved overall productivity and quality of life. However, data demonstrated that lack of awareness and accessibility or unwillingness to use the technology, complex healthcare needs, application infrastructure, policies and a dearth of training and support are all barriers to successful implementation of this useful tool. Practical implications: This research has the potential to make a significant impact on government and healthcare policy through presenting a coherent argument for the importance of designing and deploying mobile health technology and applications for the general population. Originality/value: prior literature in this domain is inadequate in explaining the importance of mobile phone-based healthcare solutions for health service and during serious disease outbreaks and, in particular, within the Indian context. The findings of this study can be used by government and healthcare organizations to improve health governance during the current global pandemic. © 2020, Emerald Publishing Limited.Item Impact of COVID-19 on individuals’ mental health and preventive health behaviours: a conceptual framework(Inderscience Publishers, 2022) Pai, R.R.; Chetty, N.; Alathur, S.The corona virus disease (COVID-19) is a pandemic that facilitate a confrontation space for scientific and social existence of human frontiers. The rapid spread and mortality rate of COVID-19 and the preventive measures including social distancing and its impact on economy, developed an unprecedented consciousness around the globe. It has created an effect on the mental health of individuals employed across various sectors and is outlined in this study. There is currently an inadequate theoretical model that focuses on the comprehensive understanding of the psychology of preventive behaviour during the outbreak of pandemics. In this study, a transnational model is delineated for assessing the adoption of preventive behavioural practices associated with COVID-19 pandemic. It uses the components derived from the theories of situational awareness and health belief model and literatures related to impact of containment strategies on various sectors. The contribution includes policy recommendations that can be helpful for the healthcare professionals and government to control the disease spread. © © 2022 Inderscience Enterprises Ltd.Item Spatio-temporal classification of land use and land cover and its changes in Kerala using remote sensing and machine learning approach(Springer Science and Business Media Deutschland GmbH, 2024) Vijay, A.; Varija, K.Land use and land cover (LULC) analysis gives important information on how the region has evolved over time. Kerala, a land with an extensive and dynamic history of land-use changes, has, until now, lacked comprehensive investigations into this history. So the current study focuses on Kerala, one of the ecologically diverse states in India with complex topography, through Landsat images taken from 1990 to 2020 using two different machine learning classifications, random forest (RF) and classification and regression trees (CART) on Google Earth Engine (GEE) platform. RF and CART are versatile machine learning algorithms frequently employed for classification and regression, offering effective tools for predictive modelling across diverse domains due to their flexibility and data-handling capabilities. Normalised Difference Vegetation Index (NDVI), Normalised Differences Built-up Index (NDBI), Modified Normalised Difference Water Index (MNDWI), and Bare soil index (BSI) are integral indices utilised to enhance the precision of land use and land cover classification in satellite imagery, playing a crucial role by providing valuable insights into specific landscape attributes that may be challenging to identify using individual spectral bands alone. The results showed that the performance of RF is better than that of CART in all the years. Thus, RF algorithm outputs are used to infer the change in the LULC for three decades. The changes in the NDVI values point out the loss of vegetation for the urban area expansion during the study period. The increasing value of NDBI and BSI in the state indicates growth in high-density built-up areas and barren land. The slight reduction in the value of MNDWI indicates the shrinking water bodies in the state. The results of LULC showed the urban expansion (158.2%) and loss of agricultural area (15.52%) in the region during the study period. It was noted the area of the barren class, as well as the water class, decreased steadily from 1990 to 2020. The results of the current study will provide insight into the land-use planners, government, and non-governmental organizations (NGOs) for the necessary sustainable land-use practices. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.