29,544 research outputs found
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A conceptual model for EAI adoption in an e-government environment
The non-integrated nature of Local Government Authority (LGA) Information Systems (IS) is
strongly associated with the inconsistency and duplication of data, reduction in data integrity and
quality, and high operational and maintenance cost. The reason is that legacy IS within the LGAs
are usually tailored to support particular business processes and functions and are as a
consequence usually difficult to integrate. This gives rise to a strong need for an integrated
architecture that facilitates reuse of existing applications and flexibly implementing business
processes across the functional boundaries within the LGAs. This paper examines a potentially
important area of IS integration in the United Kingdom (UK) LGAs through Enterprise
Application Integration (EAI) technology. A review of the literature indicates that EAI has been a
focal technology for several organisations in solving their integration problems. However, is new
in the LGAs; thus research literature around it is limited. Yet the effect of IS integration using
EAI technology remains under explored, as little research has been conducted to comprehend the
LGAs perception of integration that influences their decisions and actions. The author
demonstrates that it is of high importance to investigate this area within LGAs and result in
research that contributes towards successful EAI adoption. Therefore, resulting in the
development of a conceptual model that may be used to assist the government decision-making
process for EAI adoption in an electronic Government (e-Government) environment
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Extending IT infrastructures in the service sector organisations through enterprise resource planning – a telecom case study
Copyright @ 2012 ISEing.Service Sector Organisations (SSOs) have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. As a result, the authors exhibit that it is of great significance to investigate this area within SSOs. In so doing, this paper thus focuses on the ERP critical success factors from five different categories such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation. These factors are validated through an in-depth qualitative single case study based research. The findings from the literature and empirical demonstrate that most of the factors influencing the decision making process for ERP adoption and implementation are highly significant with exception to few that have either low or medium importance
End-to-End Privacy for Open Big Data Markets
The idea of an open data market envisions the creation of a data trading
model to facilitate exchange of data between different parties in the Internet
of Things (IoT) domain. The data collected by IoT products and solutions are
expected to be traded in these markets. Data owners will collect data using IoT
products and solutions. Data consumers who are interested will negotiate with
the data owners to get access to such data. Data captured by IoT products will
allow data consumers to further understand the preferences and behaviours of
data owners and to generate additional business value using different
techniques ranging from waste reduction to personalized service offerings. In
open data markets, data consumers will be able to give back part of the
additional value generated to the data owners. However, privacy becomes a
significant issue when data that can be used to derive extremely personal
information is being traded. This paper discusses why privacy matters in the
IoT domain in general and especially in open data markets and surveys existing
privacy-preserving strategies and design techniques that can be used to
facilitate end to end privacy for open data markets. We also highlight some of
the major research challenges that need to be address in order to make the
vision of open data markets a reality through ensuring the privacy of
stakeholders.Comment: Accepted to be published in IEEE Cloud Computing Magazine: Special
Issue Cloud Computing and the La
Emerging Insights of Health Informatics Research: A Literature Analysis for Outlining New Themes
This paper presents a contemporary literature review to provide insights into the current health informatics literature. The objective of this study is to identify emerging directions of current health informatics research from the latest and existing studies in the health informatics domain. We analyse existing health informatics studies using a thematic analysis, so that justified sets of research agenda can be outlined on the basis of these findings. We selected articles that are published in the Science Direct online database. The selected 73 sample articles (published from 2014 to 2018 in premier health informatics journals) are considered as representative samples of health informatics studies. The analysis revealed ten topic areas and themes that would be of paramount importance for researchers and practitioners to follow. The findings provide an important foundational understanding for new health informatics studies
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