The value of Big Data in government: The case of ‘smart cities’

Löfgren, Karl; Webster, C. William R.

doi:10.1177/2053951720912775

Cited by 86 publications

(61 citation statements)

References 85 publications

(91 reference statements)

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“…In (5), Π denotes the cost that the sensor device needs to pay to the operator that deploys the radiofrequency energy source, which is connected to the transmit power P provided by the radiofrequency energy source.…”

Section: Iot and Wireless Communication Technologies In Intelligent Park Constructionmentioning

confidence: 99%

“…Like smart cities, the management and service methods of intelligent parks should be based on the demands of people and meet the needs of the public, society, and government as much as possible. Intelligent parks are the outcomes of the in-depth development of the "Internet plus Technology," which will have a huge and far-reaching impact on the planning and management of the parks, public services, production methods, people's livelihood, and market operations [5].…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System

et al. 2021

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Today, intelligence in all walks of life is developing at an unexpectedly fast speed. The complexity of the Internet of Things (IoT) big data system of intelligent parks is analyzed to unify the information transmission of various industries, such as smart transportation, smart library, and smart medicine, thereby diminishing information islands. The traditional IoT systems are analyzed; on this basis, a relay node is added to the transmission path of the data information, and an intelligent park IoT big data system is constructed based on relay cooperation with a total of three hops. Finally, the IoT big data system is simulated and tested to verify its complexity. Results of energy efficiency analysis suggest that when the power dividing factor is 0.5, 0.1, and 0.9, the energy efficiency of the IoT big data system first increases and then decreases as α0 increases, where the maximum value appears when α0 is about 7 J. Results of outage probability analysis demonstrate that the system’s simulation result is basically the same as that of the theoretical result. Under the same environment, the more hop paths the system has, the more the number of relays is; moreover, the larger the fading index m, the better the system performance, and the lower the outage possibility. Results of transmission accuracy analysis reveal that the IoT big data system can provide a result that is the closest to the actual result when the successful data transmission probability is 100%, and the parameter λ values are between 0.01 and 0.05; in the meantime, the delay of successful data transmission is reduced gradually. In summary, the wireless relay cooperation transmission technology can reduce the outage probability and data transmission delay probability of the IoT big data system in the intelligent park by adding the multihop path, thereby improving the system performance. The above results can provide an experimental basis for exploring the complexity of IoT systems in intelligent parks.

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Section: Iot and Wireless Communication Technologies In Intelligent Park Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System

et al. 2021

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“…In the UK, big data is being used by the public and private sectors, but its widespread adoption is hampered by the lack of proper big data analytics and, as a result, the skills to harness the full potential of big data. The development of methods for analyzing big data has improved the decision-making process in the procurement of IT services in the public sector [9], and using a conceptual model of the value chain, the role of big data in creating value in public services is investigated, as well as the participation of various government institutions in this process [10].…”

Section: Problem Statementmentioning

confidence: 99%

Big Data in Public Administration

Kokh¹,

Kovaleva²,

Ivanova³

2021

Proceedings of International Scientific and Practical Conference “Russia 2020 - A New Reality: Economy and Society” (ISPCR 2020

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Digital transformation affects all spheres of the modern economy. It also influenced the public administration system, where big data gained special importance. Modern technologies make it possible to collect huge amounts of information from various sources, both official and private. By processing and using big data at all levels of public administration, one can maximize the efficiency of public service delivery to society. In this article, the authors analyze the world experience and results of using big data in the system of state administration. The authors examine the successes in the use of big data in the public administration system in countries such as the PRC, USA, Great Britain, Korea, and in the EU. Particular attention is paid to Russia. The past three years have seen a significant leap forward in the use of big data at the federal and regional levels of government. In Russia, several Government decrees have been adopted aimed at maximizing the use of big data in the activities of state bodies, which will improve the quality of territorial management. The article provides examples of the use of big data in the activities of regional government bodies. The option of using big data in controlling the COVID-19 situation is being considered. The authors note the need for cooperation of big data obtained from government agencies, for example Federal State Statistic Service, with big data received from private structures, for example, from Sberbank.

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“…The BD paradigm offers many advantages and benefits for companies, government and the society. Several scholars have concentrated on BDA adoption in governmental entities (Kim, Choi & Byun, 2020;Löfgren, & Webster, 2020;Pencheva, Esteve & Mikhaylov, 2020;Nantais, 2019 andAbdullah Sani, Zaini, Sahid, Noordin, &Binti Baba, 2019) and explored the value of BD, especially in private companies (i.e. Hasan, Popp & Oláh, 2020;Ballantyne & Stewart, 2019;Mikalef, Pappas, Krogstie & Giannakos, 2018).…”

Section: Introductionmentioning

confidence: 99%

Determinants factors of intention to adopt big data analytics in Malaysian public agencies

Sahid

Sani

Noordin

et al. 2021

JIEM

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Purpose: This research objective was to analyze factors affecting IT practitioners’ behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models.Design/methodology/approach: Using a cross sectional survey, empirical data were collected. A total of 200 questionnaires were obtained and screened. 14 insufficient answers were subsequently discarded leaving 186 valid structured data review questionnaires. Data was analizad using the Partial Least Square Modeling of Structural Equations due to one of the best software for verifying structured data on structural equations modeling (SEM).Findings: Our findings show that two key factors determine behavioral intention to adopt BDA in government agencies. Firstly, the assumption that the technology is going to produce great results raises the expectation of performance. TTF was the second determinant factor. Surprisingly, Initial trust, on the other hand, had not been considered to be a key determinant of behavioural intention and was found to be adversely related to the BDA intentionResearch limitations/implications: These findings identify the crucial model, that would be useful to IT officers in public agencies in making investment choices and designing non-adopter-friendly outreach strategies because they have more barriers to acceptance than adopters and lead adopters in the reward ladder.Practical implications: The findings suggest significant recommendations and consequences for BDA systems practitioners and application developers, which could coincide with the successful implementation of BDA systems. This research gives practitioners an initial way to incorporate and endorse BDA activities in their organization to make the most of the advantages of revolutionary technology, particularly within public agencies.Originality/value: This study's model is helpful and promotes a theory for further BDA research. By utilizing the model, existing public agencies can know their own BDA capability, centered around activities with specifically tailored outcomes, organization dynamics, resources, skills and potential services.

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The value of Big Data in government: The case of ‘smart cities’

Cited by 86 publications

References 85 publications

Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System

Assessing the Complexity of Intelligent Parks’ Internet of Things Big Data System

Big Data in Public Administration

Determinants factors of intention to adopt big data analytics in Malaysian public agencies

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