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    500 research outputs found

    The Viable System Model for Diagnosing and Handling IT-Project Interdependencies in Large Portfolios

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    Adequately considering project interdependencies has shown to be a determinant of how successful IT/IS project portfolios are managed. However, this can be especially troublesome since there is no universal way to handle many project interdependencies that continue to change over time due to environmental uncertainty or unexpected decisions. This can seriously disrupt portfolio performance. In this article, the authors used the systems perspective to address the problem of managing multiple IT-project interdependencies in complex IT/IS portfolio environment. In particular, the authors propose using the cybernetic model Viable System Model to facilitate thinking and reasoning concerning the difficulty of managing IT-project interdependencies. To validate their approach and to ensure the appropriateness of it, the authors used real-world problem situations drawn from multiple case studies conducted in four leading organizations in Saudi Arabia. The findings support that the Viable System Model can be applied to assist in diagnosing and handling of IT-project interdependencies

    The Changing Paradigm of Health and Mobile Phones: An Innovation in the Health Care System

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    This article describes how widespread adoption of mobile technology in healthcare is an innovation that is inevitable today in both developed and emerging markets around the world. Mobile health services (m-Health) act as an effective, accessible and affordable means of providing healthcare knowledge to users directly from providers. Despite such benefits of m-Health services, rapid adoption is not yet occurring, particularly in emerging markets. The main barrier is mostly the cynical behavior of users regarding this medium of healthcare services. The aim of this article is to examine underlying factors that can influence future use intentions of m-Health services. Conceptual model of the study identifies service qualities like reliability, privacy, responsiveness, empathy and information quality along with facilitating conditions, trust, effort expectancy and performance expectancy as significant constructs that influences users' overall perceptions of m-Health services, along with moderating effects of age and gender. Limitations and implications for practice and research are also discussed

    Will Facebook Encourage Citizen Participation?: The Case of Taiwan Legislators' Facebook Strategies

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    Facebook, the most popular social media in the world, has changed the ways of citizen involvement in governance. Politicians and (elected) public administrators worldwide have adopted Facebook as an important approach to connect with citizens. This study explores whether the Facebook phenomenon can improve the process of online political communication and citizen participation. The study adapts a content analysis method and proposes six strategies for analyzing Facebook page posts of Taiwanese legislators. The authors compare Facebook posts during both election and regular sessions to see the difference in patterns of these posts and communication strategies adopted by the legislators. The findings reveal that a percentage of e-participation achieves an acceptable rate, but most communication of legislator Facebook is one way. The results indicate that legislators' Facebook is another platform to distribute public information to citizens, and many have potential to create more public values

    An Empirical Study on the Network Model and the Online Knowledge Production Structure

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    Mass production has attracted much attention as a new approach to knowledge production. The R software system is a typical product of mass production. For its unique architecture, the R software system accurately recorded the natural process of knowledge propagation and inheritance. Thus, this article established a dynamic complex network model based on the derivative relationship between R software packages, which reflects the evolution process of online knowledge production structure in R software system, and studied the process of knowledge propagation and inheritance via the dynamic complex network analysis method. These results show that the network size increases with time, reflecting the tendency of R software to accelerate the accumulation of knowledge. The network density and network cohesion decrease with the increase of scale, indicating that the knowledge structure of R software presents a trend of expansion. The unique extension structure of R software provides a rich research foundation for the propagation of knowledge; thus, the results can provide us a new perspective for knowledge discovery and technological innovation

    An Exploratory Study on Co-Locating Voter Registration in Telecentres Case of Malawi

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    This article explores how co-locating voter registration at telecentres can address some of the challenges in the electoral process of a developing country. A case in Malawi was analysed using secondary data. A general inductive approach was used to analyse media reports on voter registration. The general inductive approach supported the development of themes for explaining the role of telecentres in addressing some of the challenges for voter registration. The study showed that the voter registration process has problems without obvious solutions including operational, social and political issues. Some of the problems can be mitigated utilising the services in telecentres. The services were mainly technical, logistical and communication. The study proposes a model for collaborative service delivery which suggests factors to be considered when co-locating voter registration in telecentres

    A Study of the Contribution of Information Technology on the Growth of Tourism Economy Using Cross-Sectional Data

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    Information technology (IT) has dramatically changed tourism industry, particularly in facilitating and improving information discovery and dissemination in tourism industry. Prior research has identified the key role that IT plays in the development of tourism industry. However, IT is examined solely, while other factors that drive the development of tourism industry are neglected in these studies. Guided by the new economic growth theory, this paper integrates fixed capital, labor, and IT and further examine how they together affect the development of tourism industry. Based on the cross-sectional tourism data of 2014 in 30 provinces in China, this article runs gray correlation analysis first and then applies a Cobb-Douglas production function model. The results indicate that fixed capital, labor, and IT are all correlated with the total tourism revenue at a certain degree, and that the development of tourism industry replies more on labor and IT than on fixed capital. Labor is the factor that makes the largest contribution to the development of tourism industry

    Can E-Government Serve as a Tool for Public Authorities to Manage Public Resources More Efficiently?

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    Innovations in the field of telecommunications and technological development in information processing affect the provision of public services. One of the main priorities of governments is to achieve greater efficiency in the provision of public services and e-government is one of several measures implemented. Our study aims to determine how e-government and efficiency affects the provision of public services in general, and also by functions. We apply a different model to calculate efficiency of the provision of public services and by function. Our empirical analysis, which included correlation and multiple linear regressions, was applied in 2012-2014 for a single cross-section of 35 economies. The results show a significant relationship between e-government and efficiency. Furthermore, we obtain a significant relation between Online Services, Telecommunication Infrastructure and Human Capital with efficiency in the provision of public services

    Examining the Effect of Positive Online Reviews on Consumers' Decision Making: The Valence Framework

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    Online reviews play an important role in consumers' decision making. However, limited studies have been conducted to understand the effects of online reviews on consumers' behavior. Drawing upon the Elaboration Likelihood Model and the valence framework, a research model was developed to investigate the perceived benefits and potential risks brought by positive online reviews. The moderating effect of review skepticism was also examined. Data were collected through on online survey based on consumers' perceptions of the positive reviews from restaurants and food businesses and analyzed with partial least squares. The results indicated that argument quality and source credibility influence information usefulness, which further influences consumers' behavioral intentions. The influence of positive online reviews on perceived risk differs between high and low skepticism consumers. This research offers a more in-depth understanding of consumer information processing in an online context and benefits practitioners by allowing them to better understand consumers

    Secured Transmission of Clinical Signals Using Hyperchaotic DNA Confusion and Diffusion Transform

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    Secured transmission of electrophysiological signals is one of the crucial requirements in telemedicine, telemonitoring, cardiovascular disease diagnosis (CVD) and telecardiology applications. The chaotic systems have good potential in secured transmission of ECG/EEG signals due to their inherent characteristics relevant to cryptography. This article introduces a new cryptosystem for clinical signals such as electrocardiograms (ECG) and electroencephalograms (EEG) based on hyperchaotic DNA confusion and diffusion transform (HC-DNA-CDT). The algorithm uses a hyperchaotic system with cubic nonlinearity and deoxyribonucleic acid (DNA) encoding rules. The performance of the cryptosystem is evaluated for different clinical signals using different encryption/decryption quality metrics. Simulation and comparison results show that the cryptosystem yield good encryption results and is able to resist various cryptographic attacks. The proposed algorithm can also be used in picture archiving and communication systems (PACS) to provide an efficient sharing of medical image over the networks

    Cloud-ElGamal and Fast Cloud-RSA Homomorphic Schemes for Protecting Data Confidentiality in Cloud Computing

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    Homomorphic encryption (HE) is an encryption form that offers a third-party with the ability to carry out computations on encrypted data. This property can be considered as a great solution to get over some obstacles limiting the wide-spread adoption of cloud computing (CC) services. Since CC environments are threatened by insider/outsider security attacks and since CC consumers often access to CC services using resource-limited devices, the HE schemes need to be promoted at security level and at running time to work effectively. For this reason, at EMENA-TSSL'16 and at WINCOM'16, the authors respectively boosted the RSA and ElGamal cryptosystems at security level, Cloud-RSA and Cloud-ElGamal. At SCAMS'17 and at EUSPN'17, the authors then suggested two fast variants of the Cloud-RSA scheme. All proposed schemes support the multiplicative homomorphism (MH) over the integers. The aim of this article is to compare the Cloud-ElGamal scheme with the Cloud-RSA schemes. This article first briefly presents the HE schemes and analyzes their security. This article then implements the schemes, compare and discuss their efficiency

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