18,397 research outputs found
The Extraction of Community Structures from Publication Networks to Support Ethnographic Observations of Field Differences in Scientific Communication
The scientific community of researchers in a research specialty is an
important unit of analysis for understanding the field specific shaping of
scientific communication practices. These scientific communities are, however,
a challenging unit of analysis to capture and compare because they overlap,
have fuzzy boundaries, and evolve over time. We describe a network analytic
approach that reveals the complexities of these communities through examination
of their publication networks in combination with insights from ethnographic
field studies. We suggest that the structures revealed indicate overlapping
sub- communities within a research specialty and we provide evidence that they
differ in disciplinary orientation and research practices. By mapping the
community structures of scientific fields we aim to increase confidence about
the domain of validity of ethnographic observations as well as of collaborative
patterns extracted from publication networks thereby enabling the systematic
study of field differences. The network analytic methods presented include
methods to optimize the delineation of a bibliographic data set in order to
adequately represent a research specialty, and methods to extract community
structures from this data. We demonstrate the application of these methods in a
case study of two research specialties in the physical and chemical sciences.Comment: Accepted for publication in JASIS
Examining emerging ICT's adoption in SMEs from a dynamic process approach
Purpose – This paper aims to advance information and communication technologies (ICT) adoption
research and practice by examining and understanding the emerging ICT adoption in small and
medium enterprises (SMEs) from a dynamic process perspective using actor-network theory (ANT).
Design/methodology/approach – This study employs a qualitative approach to investigate how
services SMEs are constantly engaging in ICT adoption for improving business performance.
Two rounds of interviews were conducted with 26 interviewees. Data collected from the unstructured
and semi-structured interviews were analysed to understand the dynamic adoption process, actors
involved and their interactions.
Findings – The findings reveal the recursive and dynamic nature of the emerging ICT adoption
process and the constant interactions and negotiations of various actors. Underpinned by the key
concepts of ANTand validated by the empirical data, a framework is developed to depict the stages of
dynamic process of emerging ICT adoption, the actors involved and the associated key activities.
Research limitations/implications – Qualitative research is interpretive in nature and the size of
the sample used is limited. These limitations require caution for the generalization of the findings.
The framework can be further validated across a wider population using mixed methods combining
qualitative and quantitative approaches.
Practical implications – Emerging ICT adoption has moved from a simple adopters’ participation
process to involving various actors that constantly interact and influence the process. SMEs manager
can be influenced by and influence the technology advancement. As a result, SMEs need constantly
interact with various human and non-human actors to keep up with the new ICT development and
benefit from the emerging opportunities.
Originality/value – The research focuses on the emerging ICT adoption in SMEs from the dynamic
process perspective using ANT. It advances ICT adoption research and practice by developing
a framework to depict the dynamic and interactive nature of ICT adoption process, and the actors
involved and their interactions in the adoption process.
Keywords Adoption, Technology adoption, Actor-network theory,
Small- and medium-sized enterprises (SMEs)
Paper type Research pape
CONTENT-BASED COMMUNITY DETECTION IN SOCIAL CORPORA
Electronic communication media are a widespread means of interaction. They effect network relationships among people. Such networks provide connectivity but are often structured in clusters. Current cluster analysis in social corpora is mainly based on structural properties. This paper extends existing approaches with content-based cluster identification and community detection in social corpora. Following a design science methodology, we demonstrate our approach using a corporate e-mail dataset. After analyzing relationships between structural and content-based groups we conclude that our method contributes to detecting online communities, especially for large structural or smaller but dispersed topical groups
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
Protocol for a Multi-Level Policy Analysis of Non-Communicable Disease Determinants of Diet and Physical Activity: Implications for Low- and Middle-Income Countries in Africa and the Caribbean.
Non-communicable diseases (NCDs) are the leading cause of death globally. Despite significant global policy development for addressing NCDs, the extent to which global policies find expression in low-and-middle income countries' (LMIC) policies, designed to mitigate against NCDs, is unclear. This protocol is part of a portfolio of projects within the Global Diet and Activity Research (GDAR) Network, which aims to support the prevention of NCDs in LMICs, with a specific focus on Kenya, Cameroon, South Africa and Jamaica. This paper outlines the protocol for a study that seeks to explore the current policy environment in relation to the reduction of key factors influencing the growing epidemic of NCDs. The study proposes to examine policies at the global, regional and country level, related to the reduction of sugar and salt intake, and the promotion of physical activity (as one dimension of healthy placemaking). The overall study will comprise several sub-studies conducted at a global, regional and country level in Cameroon, Kenya and South Africa. In combination with evidence generated from other GDAR workstreams, results from the policy analyses will contribute to identifying opportunities for action in the reduction of NCDs in LMICs
Graphical Database Architecture For Clinical Trials
The general area of the research is Health Informatics. The research focuses on creating an innovative and novel solution to manage and analyze clinical trials data. It constructs a Graphical Database Architecture (GDA) for Clinical Trials (CT) using New Technology for Java (Neo4j) as a robust, a scalable and a high-performance database. The purpose of the research project is to develop concepts and techniques based on architecture to accelerate the processing time of clinical data navigation at lower cost. The research design uses a positivist approach to empirical research. The research is significant because it proposes a new approach of clinical trials through graph theory and designs a responsive structure of clinical data that can be deployed across all the health informatics landscape. It uniquely contributes to scholarly literature of the phenomena of Not only SQL (NoSQL) graph databases, mainly Neo4j in CT, for future research of clinical informatics. A prototype is created and examined to validate the concepts, taking advantage of Neo4j’s high availability, scalability, and powerful graph query language (Cypher). This research study finds that integration of search methodologies and information retrieval with the graphical database provides a solid starting point to manage, query, and analyze the clinical trials data, furthermore the design and the development of a prototype demonstrate the conceptual model of this study. Likewise the proposed clinical trials ontology (CTO) incorporates all data elements of a standard clinical study which facilitate a heuristic overview of treatments, interventions, and outcome results of these studies
An Ontology for Product-Service Systems
Industries are transforming their business strategy from a product-centric to a more service-centric nature by bundling products and services into integrated solutions to enhance the relationship between their customers. Since Product- Service Systems design research is currently at a rudimentary stage, the development of a robust ontology for this area would be helpful. The advantages of a standardized ontology are that it could help researchers and practitioners to communicate their views without ambiguity and thus encourage the conception and implementation of useful methods and tools. In this paper, an initial structure of a PSS ontology from the design perspective is proposed and evaluated
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