The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.
ABSTRACT:Change detection from different temporal images usually based on reflectance on natural and human activity impact, using integrated GIS, Remote Sensing and image processing technologies enable impact assessment of watershed in desert region. A time series analysis of seasonal NDVI have been used to estimate net primary productivity, phonological characteristic of vegetative surface, length of growing season and dry drown periods (Ramsey et al., 1995). The study is designed to achieve the objectives to Study the changes in vegetation for selected watershed in a desert districts of Bhilwara, Barmer & Jaisalmer in Rajastan State of India, to identify the changes in density of vegetation, to assess the temporal changes and to assess the impact of the watershed, with an objective to conserve the soil erosion and harvest the rainwater in order to increase the ground water table, to improve the socio economic condition of the people and to stop the migration of the people from the villages in search of livelihood. These activities will have a direct impact on the crop production. The Changes in density of vegetation indicates the quantity of crop production and the growth of vegetation apart from crops and the conservation of land with out scrub/barren land to land with scrub. This gives an picture about the impact of watershed programme in increasing the vegetative cover. The temporal changes help in understanding the changes taken place in the watershed, and facilitate understand the positive as well as negative impacts of any decisions taken in the implementation. The extent and density and type of vegetation for the years,
Nutrition security is central to the sustainable development agenda of the developing nations. Productivity enhancement activities in a watershed programme have a number of positive implications, out of which nutritional security is a major one. To what extent a watershed programme is meeting the nutrition challenge of its stakeholders is the concern. The study was taken up in four watershed villages in Telangana Province of India. The performance of watershed programmes was appreciable from the point of view of increase in disposable income with an increase in crop diversification and with an increase in employment through wage works. This is resonated laterally in the form of nutritional security with an increase in access to quality foods such as milk, meat, fruits and vegetables. However, the picture is not as bright as there were many children in the watershed villages who scored less anthropometrically. This suggests the need for nutrition-specific and nutrition-sensitive interventions on a watershed platform.
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