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21.
Data analytics for better branding of e-governance and e-business systems : case of "digital India" campaign
Rajan Gupta, Saibal K. Pal, Sunil K. Muttoo, 2020, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: Efficient e-governance leads to stronger democracy which can be achieved through higher trust, visibility, and transparency in the system, which can be acquired through effective branding. Various techniques of data analytics can help in achieving trust and transparency in the system. The objective of the study is to resolve various issues in the public sector through analytics-based improvement of different parameters of branding, namely, communication, consistency, clarity, and competition. The research design of the study is a combination of both qualitative and quantitative techniques like descriptive statistics. The main techniques emerged for data analysis includes rating and ranking analysis of government apps, social media analytics, text and speech analytics, media analytics, statistical analytics and data mining, telecom analytics, and people demographics for government programs. It was found that the “Digital India” campaign under e-governance initiative was highly successful based on different kinds of analytical methods found in the study.
Ključne besede: e-governance, data analytics, e-business, business systems, information systems, government campaigns, branding
Objavljeno v RUNG: 31.03.2021; Ogledov: 1969; Prenosov: 13
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22.
Cyber security assessment education for e-governance systems
Rajan Gupta, Saibal K. Pal, Sunil K. Muttoo, 2020, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: Electronic Governance is being rapidly adopted across the world for providing seamless services to citizens. With rising digitization of information resources, the threats to the infrastructure and digital data are also growing. For developed nations, the security parameters and optimization processes are well tested and placed, but for developing nations these are yet to be addressed strongly. There is also a need for imparting awareness and educating personnel involved in the development and operations of E-Governance Systems. This study proposes a framework for security assessment amongst the departments of E-Governance, based on Information Systems principles. The major areas of security covered in the framework are related to the Hardware, Network, Software, Server & Data security, Physical Environment Security, and various policies for security of Information Systems at the organizational level. The suggestive framework has also been tested for an organization in India. It was found that, given the functionality & magnitude of the organization, the assessment framework was able to analyze the strength and weakness of an organization in an exhaustive manner. The coverage of technological and organizational measure was found to be 69% and 53% respectively and the organization was placed in top two zones of the proposed grid. This study will be useful for security assessment of various organizations operating under E-Governance.
Ključne besede: e-governance, cyber security education, information systems security, developing nations, security framework
Objavljeno v RUNG: 31.03.2021; Ogledov: 1975; Prenosov: 12
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23.
Fuzzy C-means clustering and particle swarm optimization based scheme for common service center location allocation
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, izvirni znanstveni članek

Opis: Common Service Centers (CSCs), which are also known as Tele-centers and Rural Kiosks, are important infrastructural options for any country aiming to provide E-Governance services in rural regions. Their main objective is to provide adequate information and services to a country’s rural areas, thereby increasing government-citizen connectivity. Within developing nations, such as India, many CSC allocations are being planned. This study proposes a solution for allocating a CSC for villages in a country according to their E-Governance plan. The Fuzzy C-Means (FCM) algorithm was used for clustering the village dataset and finding a cluster center for CSC allocation, and the Particle Swarm Optimization (PSO) algorithm was used for further optimizing the results obtained from the FCM algorithm based on population. In the context of other studies addressing similar issues, this study highlights the practical implementation of location modeling and analysis. An extensive analysis of the results obtained using a village dataset from India including four prominent states shows that the proposed solution reduces the average traveling costs of villagers by an average of 33 % compared with those of allocating these CSCs randomly in a sorted order and by an average of 11 % relative to centroid allocation using the FCM-based approach only. As compared to traditional approaches like P-Center and P-Median, the proposed scheme is better by 31 % and 14 %, respectively. Therefore, the proposed algorithm yields better results than classical FCM and other types of computing techniques, such as random search & linear programming. This scheme could be useful for government departments managing the allocation of CSCs in various regions. This work should also be useful for researchers optimizing the location allocation schemes used for various applications worldwide.
Ključne besede: common service centers, tele-centers, e-governance, location allocation, fuzzy C-means clustering, particle swarm optimization
Objavljeno v RUNG: 17.02.2021; Ogledov: 2240; Prenosov: 0
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