6,362 research outputs found

    Challenges in the delivery of e-government through kiosks

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    Kiosks are increasingly being heralded as a technology through which governments, government departments and local authorities or municipalities can engage with citizens. In particular, they have attractions in their potential to bridge the digital divide. There is some evidence to suggest that the citizen uptake of kiosks and indeed other channels for e-government, such as web sites, is slow, although studies on the use of kiosks for health information provision offer some interesting perspectives on user behaviour with kiosk technology. This article argues that the delivery of e-government through kiosks presents a number of strategic challenges, which will need to be negotiated over the next few years in order that kiosk applications are successful in enhancing accessibility to and engagement with e-government. The article suggests that this involves consideration of: the applications to be delivered through a kiosk; one stop shop service and knowledge architectures; mechanisms for citizen identification; and, the integration of kiosks within the total interface between public bodies and their communities. The article concludes by outlining development and research agendas in each of these areas.</p

    The proliferation of identification techniques for citizens throughout the ages

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    Manual identification techniques date back to ancient times, however the need to identify individuals has heightened particularly since the Industrial Revolution. This paper traces the use of identification techniques throughout the ages and focuses on the growing importance of citizen identification (ID) by governments. The paper uses a historical approach beginning with manual techniques such as tattoos, through to more recent automatic identification (auto-ID) techniques such as smart cards and biometrics. Data was collected primarily through qualitative document analysis, and the paper contains thick description typical of a narrative. The findings indicate that identification techniques born for one purpose have gradually found their way into alternate applications, and in some instances have been misused altogether. There is also strong evidence to suggest that governments are moving away from localized identification schemes to more global systems based on universal lifetime identifiers (ULI)

    Conceptualizing Blockchain Technology in Utilization of Social Welfare Service for the Disabled

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    This study analyzed factors influencing acceptance intention for blockchain technology in social welfare services for the disabled. Security and economics were the leading variables related to blockchain technology acceptance. Willingness to pay, fairness, and regulation were the leading variables reflecting characteristics of public services. UTAUT (Unified Theory of Acceptance and Use of Technology) was used as a research model, and performance expectations, effort expectations, and social impact were considered. Based on the blockchain-based virtual disabled voucher process, this study utilized prior knowledge based on the use of rehabilitation center. The STATA / SE 12.0 statistical program was used to analyze demographic frequency, factor analysis, reliability, and structural equation modeling (SEM). Pay-out and fairness have the greatest influence on acceptance intention, and economic and regulatory factors are the next influential factors. Only economic performance has been identified as a leading variable influencing the expectations of effort, and security has been shown to affect only social impact. Economic performance influenced performance expectation, effort expectation, and social influence. Expectation of effort did not affect acceptance intention. This study provides useful information for establishing a practical strategy when introducing blockchain technology to the public service called disabled welfare

    Factors that Impact Blockchain Scalability

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    How "smart cities" will change supply chain management

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    Purpose - The purpose of this paper is to analyze the impact of smart city initiatives and big data on supply chain management (SCM). More specifically, the connections between smart cities, big data and supply network characteristics (supply network structure and governance mechanisms) are investigated. Design/methodology/approach - An integrative framework is proposed, grounded on a literature review on smart cities, big data and supply networks. Then, the relationships between these constructs are analyzed, using the proposed integrative framework. Findings - Smart cities have different implications to network structure (complexity, density and centralization) and governance mechanisms (formal vs informal). Moreover, this work highlights and discusses the future research directions relating to smart cities and SCM. Research limitations/implications - The relationships between smart cities, big data and supply networks cannot be described simply by using a linear, cause-and-effect framework. Accordingly, an integrative framework that can be used in future empirical studies to analyze smart cities and big data implications on SCM has been proposed. Practical implications - Smart cities and big data alone have limited capacity of improving SCM processes, but combined they can support improvement initiatives. Nevertheless, smart cities and big data can also suppose some novel obstacles to effective SCM. Originality/value - Several studies have analyzed information technology innovation adoption in supply chains, but, to the best of our knowledge, no study has focused on smart cities

    Sharing the blame? Local electoral accountability and centralized school finance in California

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    While electoral accountability should be stronger when responsibilities are clearly assigned to one political office, the involvement of higher tiers of government is often associated with policies specifically designed to improve local accountability. This paper investigates the impact of centralization on local electoral accountability in the context of California’s school finance system. Results show that voters are responsive to differences in dropout rates and pupil-teacher ratios, and that incumbents are less likely to be reelected when a district’s degree of centralization is high. The No Child Left Behind Act of 2001 appears to have sharpened local electoral accountability
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