1,721,006 research outputs found
Beyond the digital ecosystems view: insights from Smart Communities
No full textAim: The paper aims to analyse the challenges of emerging Digital Ecosystems. The principal goal of this work is to enrich previous studies on the topic of Digital Ecosystem with possible contributions derived from the studies on Smart Communities.
Findings: The reflections herein support the overcoming of traditional managerial perspective no more longer able to support decision makers in defining effective and sustainable managerial models. The adopted lens build on the interpretative contributions offered by studies on Digital Ecosystems and on Smart Communities in attempt to define a possible multi- and trans-disciplinary framework for the management of networked systems in the light of value co-creation perspective. The main finding is the identification of possible advancements in the management of Digital Ecosystems using the evidence offered by the evolution of Smart Communities.
Methodology: The work proposes an analysis of the domain of Smart Communities with the aim to identify possible advancements in the ways to face the challenges of Digital Ecosystems in the emerging knowledge and digital society. The proposed ideas support the emergence of a stronger conceptual framework direct to enrich previous contributions both in the domain of Digital Ecosystems and Smart Communities.
Research implications/limitations: Reflections, ideas and observations herein represent a first step along the pathways to define a more holistic approach in the management of networked systems. In this directions, the proposed suggestions should be verified through a wider empirical study.
Originality/Value: The paper offers a multidisciplinary approach useful to support decision makers in better understanding the opportunities offered by Digital Ecosystems thanks to the interpretative lens offered by Smart Communities logic
Beyond the digital ecosystems view: insights from Smart Communities
No full textAim: The paper aims to analyse the challenges of emerging Digital Ecosystems. The principal goal of this work is to enrich previous studies on the topic of Digital Ecosystem with possible contributions derived from the studies on Smart Communities.
Findings: The reflections herein support the overcoming of traditional managerial perspective no more longer able to support decision makers in defining effective and sustainable managerial models. The adopted lens build on the interpretative contributions offered by studies on Digital Ecosystems and on Smart Communities in attempt to define a possible multi- and trans-disciplinary framework for the management of networked systems in the light of value co-creation perspective. The main finding is the identification of possible advancements in the management of Digital Ecosystems using the evidence offered by the evolution of Smart Communities.
Methodology: The work proposes an analysis of the domain of Smart Communities with the aim to identify possible advancements in the ways to face the challenges of Digital Ecosystems in the emerging knowledge and digital society. The proposed ideas support the emergence of a stronger conceptual framework direct to enrich previous contributions both in the domain of Digital Ecosystems and Smart Communities.
Research implications/limitations: Reflections, ideas and observations herein represent a first step along the pathways to define a more holistic approach in the management of networked systems. In this directions, the proposed suggestions should be verified through a wider empirical study.
Originality/Value: The paper offers a multidisciplinary approach useful to support decision makers in better understanding the opportunities offered by Digital Ecosystems thanks to the interpretative lens offered by Smart Communities logic
A systems view of companies’ communication in online social environment
No full textIn order to enrich previous contributions interested in the identification of possible pathways to improve companies’ capabilities to better face the challenges imposed by increasing social and economic variety, this paper focuses attention on the role of companies’ communications in online social environments. Thanks to the adoption of systems thinking, the paper enlarges existing contributions on companies’ online communication by combining the research streams of signalling theory, capital need theory, and legitimacy theory. By building on a multi-disciplinary literature review, this paper identifies three variables to analyse the effectiveness of companies’ communication based on the use of social networks: the frequency, the instability, and the previous activities. Empirical research is proposed with reference to a sample composed by the 50 best performing European companies in terms of return on sales (ROS) (USD) in 2015 via the use of structural equation modelling (SEM). SEM is applied to explore the relationships among identified variables in companies’ online communication on Facebook and Instagram, and how those communications influence companies’ economic performance in terms of ROS
Trust Management in the Internet of Everything
Full text linkDigitalization is leading us towards a future where people, processes, data
and things are not only interacting with each other, but might start forming
societies on their own. In these dynamic systems enhanced by artificial
intelligence, trust management on the level of human-to-machine as well as
machine-to-machine interaction becomes an essential ingredient in supervising
safe and secure progress of our digitalized future. This tutorial paper
discusses the essential elements of trust management in complex digital
ecosystems, guiding the reader through the definitions and core concepts of
trust management. Furthermore, it explains how trust-building can be leveraged
to support people in safe interaction with other (possibly autonomous) digital
agents, as trust governance may allow the ecosystem to trigger an auto-immune
response towards untrusted digital agents, protecting human safety.Comment: Proceedings of the 16th European Conference on Software
Architecture-Companion Volum
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Big Data and Machine Intelligence in Software Platforms for Smart Cities
No full textInformation and communication technologies (ICT) are playing an important role in the development of software platforms for Smart Cities to improve city services, sustainability, and citizen quality of life. Smart City software platforms have a significant role to transform a city into a smart city by providing support for the development and integration of intelligent services. Big data analytics is an emerging technology that has a huge potential to enhance smart city services by transforming city information into city intelligence. Despite this,it has attracted attention in a rather restricted range of application domains, and its joint application with self-adaptation mechanisms is rarely investigated. In this Ph.D. research, in collaboration with the Smart Cities and Communities Lab. of the Italian national agency ENEA, we focus on the design and development of a software platform for smart city based on self-adaptation, as realized in the IBM MAPE-K (Monitor, Analyze, Plan, and Execute over a shared Knowledge) control loop architecture model, and on machine intelligence, as provided by a big data analytics framework. This last is introduced in between the analysis and planning modules of the MAPE-K control loop model. We will evaluate the effectiveness of the proposed approach with a real showcase in the public lighting domain
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
