Big Data Privacy Context: Literature Effects On Secure Informational Assets

This article's objective is the identification of research opportunities in the current big data privacy domain, evaluating literature effects on secure informational assets. Until now, no study has analyzed such relation. Its results can foster science, technologies and businesses. To achieve these objectives, a big data privacy Systematic Literature Review (SLR) is performed on the main scientific peer reviewed journals in Scopus database. Bibliometrics and text mining analysis complement the SLR. This study provides support to big data privacy researchers on: most and least researched themes, research novelty, most cited works and authors, themes evolution through time and many others. In addition, TOPSIS and VIKOR ranks were developed to evaluate literature effects versus informational assets indicators. Secure Internet Servers (SIS) was chosen as decision criteria. Results show that big data privacy literature is strongly focused on computational aspects. However, individuals, societies, organizations and governments face a technological change that has just started to be investigated, with growing concerns on law and regulation aspects. TOPSIS and VIKOR Ranks differed in several positions and the only consistent country between literature and SIS adoption is the United States. Countries in the lowest ranking positions represent future research opportunities.Comment: 21 pages, 9 figure

A systematic literature review of cloud computing in eHealth

Cloud computing in eHealth is an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13); (2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications

A framework and tool to manage Cloud Computing service quality

Cloud Computing has generated considerable interest in both companies specialized in Information and Communication Technology and business context in general. The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for offshore outsourcing services between clients and providers that offers appropriate strategies to enhance Cloud Computing implementation. It intends to achieve the required quality of service and develop an effective working relationship between clients and providers. Moreover, quality evaluation framework is a framework to control the quality of any product and/or process. It offers a tool support that can generate software artifacts to manage any type of product and service efficiently and effectively. Thus, the aim of this paper was to make this framework and tool support available to manage Cloud Computing service quality between clients and providers by means of e-SCM.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-RJunta de Andalucía TIC-578

Information Security Governance Framework in Public Cloud a Case in Low Resource Economies in Uganda

The study aimed at exploring the critical enablers to the development and usage of information security governance frameworks for cloud computing in Uganda. The study was motivated by the continuous information security governance challenges in the Public Cloud. The theoretical frameworks that underpinned this study included; Contingency management theory, the Risk Management framework, the Technological Organisational and Environmental (TOE) model and the Information Security Governance model. This study adopted a quantitative research approach to obtain data through a survey. Five key factors for information security governance were identified: a) Technological factors: flexibility, scalability, availability, agility, data protection governance, trust of cloud, data source, maintenance, data retention and policy. b) Organisation: size and structure of the organisation, top management support. c) Environmental factors: governance and regulation, marketing, vendor, resource availability, obsoleteness. d) Individual: user resistance, attitude, skills, belief and learnability. e) Risk management and control factors: risk assessment, disaster recovery, access and authorisation control, monitoring, auditing, and process risk control. The study contributes to theory and practice in information security. The developed framework and its accompanying model helped to inform public departments, organisational top management and information security strategies to avoid excessive information risks and potential regulatory compliance failures in public cloud. The study was inclined on subjective information security, which alone may not fully address all information security problems in a public cloud. Therefore, it is recommendable that future research studies on objective security in public cloud

Information Security Governance Framework in Public Cloud a Case in Low Resource Economies in Uganda

The study aimed at exploring the critical enablers to the development and usage of information security governance frameworks for cloud computing in Uganda. The study was motivated by the continuous information security governance challenges in the Public Cloud.  The theoretical frameworks that underpinned this study included; Contingency management theory,  the Risk Management framework, the Technological Organisational and Environmental (TOE) model and the Information Security Governance model.  This study adopted a quantitative research approach to obtain data through a survey. Five key factors for information security governance were identified: a) Technological factors: flexibility, scalability, availability, agility, data protection governance, trust of cloud, data source, maintenance, data retention and policy.  b) Organisation: size and structure of the organisation, top management support. c) Environmental factors: governance and regulation, marketing, vendor, resource availability, obsoleteness.  d) Individual: user resistance, attitude, skills, belief and learnability. e) Risk management and control factors: risk assessment, disaster recovery, access and authorisation control, monitoring, auditing, and process risk control. The study contributes to theory and practice in information security. The developed framework and its accompanying model helped to inform public departments, organisational top management and information security strategies to avoid excessive information risks and potential regulatory compliance failures in public cloud. The study was inclined on subjective information security, which alone may not fully address all information security problems in a public cloud. Therefore, it is recommendable that future research studies on objective security in public clou

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

Towards a Data Governance Framework for Third Generation Platforms

The fourth industrial revolution considers data as a business asset and therefore this is placed as a central element of the software architecture (data as a service) that will support the horizontal and vertical digitalization of industrial processes. The large volume of data that the environment generates, its heterogeneity and complexity, as well as its reuse for later processes (e.g. analytics, IA) requires the adoption of policies, directives and standards for its right governance. Furthermore, the issues related to the use of resources in the cloud computing must be taken into account with the aim of meeting the requirements of performance and security of the different processes. This article, in the absence of frameworks adapted to this new architecture, proposes an initial schema for developing an effective data governance programme for third generation platforms, that means, a conceptual tool which guides organizations to define, design, develop and deploy services aligned with its vision and business goals in I4.0 era.This work is partially funded by Spanish Government through the research project TIN2017-86520-C3-3-R