An Approach to Transform Public Administration into SOA-based Organizations

Nowadays, Service-Oriented Architectures (SOA) is widely spread in private organizations. However, when transferring this knowledge to Public Administration, it is realized that it has not been transformed in terms of its legal nature into organizations capable to operate under the SOA paradigm. This fact prevents public administration bodies from offering the efficient services they have been provided by different boards of governments. A high-level framework to perform this transformation is proposed. Taking it as starting point, an instance of a SOA Target Meta-Model can be obtained by means of an iterative and incremental process based on the analysis of imperatives and focused on the particular business context of each local public administration. This paper briefly presents a practical experience consisting in applying this process to a Spanish regional public administration.Junta de Andalucía TIC-578

A model to assess customer alignment through customer experience concepts

Business and Information Technology Alignment (BITA) has been one of the main concerns of IT and Business executives and directors due to its importance to overall company performance, especially today in the age of digital transformation. For BITA has been developed several models which in general has focused in the implementation of alignment strategies for the internal operation of the organizations and in the measurement of this internal alignment, but, there is still a big gap in measurement models of the alignment with the external environment of the organizations. In this paper is presented the design and application of a maturity measurement model for BITA with the customers, where the customers are actors of the external environment of the companies. The proposed model involves evaluation criteria and business practices which the companies ideally do for improve the relationship with their customers.Comment: 12 pages, Preprint version, BIS 2019 International Workshops, Seville, Spain, June 26 to 28, 2019, Revised Paper

Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adoption lifecycle phases. Literature indicates that the adoption process involves a sequence of phases an organisation passes through before taking the decision for adoption. This exemplifies that LGAs may also have to pass through several adoption phases before taking the decision to adopt EAI. However, due to the: (a) multiplicity of diverse EAI adoption factors and (b) not able to recognise which factor(s) influence EAI on adoption lifecycle phases, it may not be easy for LGAs to take decisions to adopt EAI by merely focusing on different factors. This may impede the decision making process for EAI adoption in LGAs. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. This paper makes a step forward as it: (a) investigates and proposes four adoption lifecycle phases, (b) validates the adoption lifecycle phases and (c) mapping the factors influencing EAI adoption on the adoption lifecycle phases, through a case study. Hence, it significantly contributes to the body of knowledge and practice. In doing so, providing sufficient support to the decision makers for speeding up the decision making process for EAI adoption in LGAs

Responsible Data Governance of Neuroscience Big Data

Open access article.Current discussions of the ethical aspects of big data are shaped by concerns regarding the social consequences of both the widespread adoption of machine learning and the ways in which biases in data can be replicated and perpetuated. We instead focus here on the ethical issues arising from the use of big data in international neuroscience collaborations. Neuroscience innovation relies upon neuroinformatics, large-scale data collection and analysis enabled by novel and emergent technologies. Each step of this work involves aspects of ethics, ranging from concerns for adherence to informed consent or animal protection principles and issues of data re-use at the stage of data collection, to data protection and privacy during data processing and analysis, and issues of attribution and intellectual property at the data-sharing and publication stages. Significant dilemmas and challenges with far-reaching implications are also inherent, including reconciling the ethical imperative for openness and validation with data protection compliance and considering future innovation trajectories or the potential for misuse of research results. Furthermore, these issues are subject to local interpretations within different ethical cultures applying diverse legal systems emphasising different aspects. Neuroscience big data require a concerted approach to research across boundaries, wherein ethical aspects are integrated within a transparent, dialogical data governance process. We address this by developing the concept of “responsible data governance,” applying the principles of Responsible Research and Innovation (RRI) to the challenges presented by the governance of neuroscience big data in the Human Brain Project (HBP)

An agile business process improvement methodology

Adoption of business process improvement strategies are now a concern of most organisations. Organisations are still facing challenges and finding transient solutions to immediate problems. The misalignment between IT solutions and organisational aspects evolves across space and time showing discrepancies. Unfortunately, existing business process approaches are not according with continuous business process improvement involving business stakeholders. Considering this limitation in well-known Business Process (BP) methodologies, this paper presents a comparative study of some approaches and introduces agility in the Business Process and Practice Alignment Methodology (BPPAM). Our intention is to present observed problems in existing approaches and introduce agility in our proposal to address features, like the alignment between daily work practices and business process descriptions, in a simple and agile way. (C) 2017 The Authors. Published by Elsevier B.V

Challenges for the comprehensive management of cloud services in a PaaS framework

The 4CaaSt project aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of Cloud-based services and applications. The major innovations proposed by 4CaaSt are the blueprint and its lifecycle management, a one stop shop for Cloud services and a PaaS level resource management featuring elasticity. 4CaaSt also provides a portfolio of ready to use Cloud native services and Cloud-aware immigrant technologies

Industrial dynamics and economic geography: a survey

We review the literature on clusters and their effects on industrial dynamics as well on various lifecycle dynamics underlying the process of cluster formation and cluster dynamics. The review shows that there is little evidence that clusters enhance firm growth and survival. In the absence of localization economies, the emergence of clusters is best understood as an evolutionary process of capability transmission between parents firms and their spinoffs. We discuss various future research avenues and call for theorising based on firm heterogeneity as well as empirical research based on common methodological standards.entry, exit, cluster, localization economies, lifecycle, firm heterogeneity

A systematic literature review of the use of social media for business process management

In today’s expansion of new technologies, innovation is found necessary for organizations to be up to date with the latest management trends. Although organizations are increasingly using new technologies, opportunities still exist to achieve the nowadays essential omnichannel management strategy. More precisely, social media are opening a path for benefiting more from an organization’s process orientation. However, social media strategies are still an under-investigated field, especially when it comes to the research of social media use for the management and improvement of business processes or the internal way of working in organizations. By classifying a variety of articles, this study explores the evolution of social media implementation within the BPM discipline. We also provide avenues for future research and strategic implications for practitioners to use social media more comprehensively