scholarly journals Research on the Construction of "Internet + Government Services" Platform in Chinese Cities Based on Big Data: Subject Dilemma and Optimization Path

Author(s):  
Shaogang Liao
Cities ◽  
2021 ◽  
Vol 116 ◽  
pp. 103298
Author(s):  
Yongqiang Lv ◽  
Lin Zhou ◽  
Guobiao Yao ◽  
Xinqi Zheng

2020 ◽  
Vol 701 ◽  
pp. 134896 ◽  
Author(s):  
Fangzheng Li ◽  
Fengyi Li ◽  
Shuangjin Li ◽  
Ying Long

Author(s):  
Akemi Takeoka Chatfield ◽  
Jazem AlAnazi

E-government policy initiatives for implementing citizen-centric integrated interoperable (CII) e-government services have gained international validity by governments worldwide. Despite extensive deliberations in e-government literature, however, successfully implementing strategic, institutional, and technological changes required by citizen-centric (vis-à-vis government-centric) e-government remains an unresolved theoretical and pragmatic conundrum. CII e-government systems are characterized by greater diversity in stakeholders, processes, technologies, applications, and big data, requiring greater cross-agency collaboration and process integration/standardization. Drawing from e-government interoperability and governance literatures, the authors examined the governance role in facilitating CII e-government implementation. The authors performed website and policy analyses of a successful implementation of Saudi Ministry portal, which exemplifies CII e-services. Results showed that government's earlier disconnected websites had not facilitated cross-agency information sharing required for citizen-centric e-government development. However, the authors found evidence that both e-government interoperability policy framework and collaborative governance had contributed to overcoming the implementation challenges and delivering CII e-government services to its diverse stakeholders.


2020 ◽  
Vol 8 (6) ◽  
pp. 1609-1615

The constant innovations and rapid developments in the IT industry have revolutionized the thinking and mindset of the people throughout the world. Government departments have also been computerized to provide transparent, efficient and responsible government through e-governance. The government have been providing access to various websites or portal for filing complaints, uploading or downloading forms, pictures, data or PDFs to avail the government services. Enlightened citizens are frequently using the portal to access government services. Thus, the size and volume of data that need to be managed by government departments have been increasing drastically under e-governance. The traditional database management system is not designed to deal with such mix type of data. Moreover, the speed at which the e-governance generated data need to be processed is another big challenge being faced by traditional database system. All the abovesaid concerns can be solved by using the emerging technology - Big Data Analytics techniques. Big data analytic techniques can make the government more efficient and transparent by processing structured, unstructured or mixed types data at a great speed. In this paper, we shall understand the scenario for the need or the emergence of big data analytics in egovernance and knowhow of Apache Spark. This paper proposes a practical approach to integrate big data analytics with egovernance using Apache Spark. This paper also reflects how major issues of traditional database management system (mixed type datasets, speed and accuracy) can be resolved through the integration of big data analytics and e-governance.


2020 ◽  
Vol 8 (1) ◽  
pp. 105
Author(s):  
Artwell Nhemachena ◽  
Nokuthula Hlabangane ◽  
Maria B Kaundjua

Abstract African development will remain intractable in a world where Africans are conceived as constituting disorganised data subject to the supposedly organising gaze of knowledgeable Others. African people are increasingly datafied dehumanised and denied self-knowledge, self-mastery, self-organisation and data sovereignty. Arguing for more attention to questions of data sovereignty, this paper notes that the Internet of Things and Big Data threaten the autonomy, privacy, data and national sovereignty of indigenous Africans. It is contended that decolonial scholars should unpack ethical implications of theorising indigenous people in terms of relational theories that assume absence of distinctions between humans and nonhumans. Deemed to be indistinct from nonhumans/animals, Africans would be inserted or implanted with remotely controlled intelligent tracking technological devices that mine data from their brains, bodies, homes, cities and so on. Key words: relationality, Big Data, Internet of Things, coloniality, research  


Cities ◽  
2020 ◽  
Vol 105 ◽  
pp. 102395
Author(s):  
Qingsong He ◽  
Jiang Zhou ◽  
Shukui Tan ◽  
Yan Song ◽  
Lu Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document