6 research outputs found
Computer Science & Technology Series : XXI Argentine Congress of Computer Science. Selected papers
Get PDFCACIC’15 was the 21thCongress in the CACIC series. It was organized by the School of Technology at the UNNOBA (North-West of Buenos Aires National University) in JunÃn, Buenos Aires.
The Congress included 13 Workshops with 131 accepted papers, 4 Conferences, 2 invited tutorials, different meetings related with Computer Science Education (Professors, PhD students, Curricula) and an International School with 6 courses.
CACIC 2015 was organized following the traditional Congress format, with 13 Workshops covering a diversity of dimensions of Computer Science Research. Each topic was supervised by a committee of 3-5 chairs of different Universities.
The call for papers attracted a total of 202 submissions. An average of 2.5 review reports werecollected for each paper, for a grand total of 495 review reports that involved about 191 different reviewers.
A total of 131 full papers, involving 404 authors and 75 Universities, were accepted and 24 of them were selected for this book.Red de Universidades con Carreras en Informática (RedUNCI
Computer Science & Technology Series : XXI Argentine Congress of Computer Science. Selected papers
Get PDFCACIC’15 was the 21thCongress in the CACIC series. It was organized by the School of Technology at the UNNOBA (North-West of Buenos Aires National University) in JunÃn, Buenos Aires.
The Congress included 13 Workshops with 131 accepted papers, 4 Conferences, 2 invited tutorials, different meetings related with Computer Science Education (Professors, PhD students, Curricula) and an International School with 6 courses.
CACIC 2015 was organized following the traditional Congress format, with 13 Workshops covering a diversity of dimensions of Computer Science Research. Each topic was supervised by a committee of 3-5 chairs of different Universities.
The call for papers attracted a total of 202 submissions. An average of 2.5 review reports werecollected for each paper, for a grand total of 495 review reports that involved about 191 different reviewers.
A total of 131 full papers, involving 404 authors and 75 Universities, were accepted and 24 of them were selected for this book.Red de Universidades con Carreras en Informática (RedUNCI
Adoption of the big data concept in the construction industry
Get PDFA thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.The Big Data (BD) boom has increased exponentially in recent years, reaching even the most
traditional industries. In construction, the migration towards sustainability and new
technologies that produce user and environmentally friendly projects is now a requirement in
almost every country. Meanwhile, BD technology has become a possible solution to the
challenges that the industry faces nowadays with some authors naming this technology as the
future of construction. However, despite this reception, studies that explain in detail the factors
that favour the adoption of BD are scarce or non-existent and the adoption itself has proven
to be a challenge, especially in industries such as construction that are not technology driven.
Understanding the critical factors that influence BD adoption has become the focus of many
industries that seek to exploit the benefits offered by this technology. Therefore, the aim of
this research is to explore the adoption of BD in the construction industry. First, the awareness
of the Dominican Republic’s construction industry on the BD concept, its characteristics, and
benefits was assessed. The key drivers, strategies, and challenges regarding the adoption of
BD in the industry were also investigated. A qualitative method was selected to identify these
strategies due to the lack of maturity and the scarcity of sources that address the subject.
Semi-structured interviews were selected as the data collection tool, and content and thematic
analysis were chosen to acquire an in-depth knowledge of the interviews. Endsley’s model of
situational awareness was adapted to provide a better understanding of the industry’s
awareness of BD. The sampling technique adopted was non-probabilistic due to some of the
specific criteria identified during the secondary data collection process. In the data collection
process, 21 interviews were conducted with representatives of 19 organisations with an
undoubted presence in the construction market of the Dominican Republic. The results
showed that there is an overall basic level of awareness about BD in the construction industry
of the Dominican Republic. Moreover, nine key drivers for BD adoption were identified and
grouped into internal and external drivers. Additionally, four main strategies or central policies
for adopting the technology and seven main challenges were identified. These findings were
used to develop an organisation readiness assessment tool and a strategic framework for BD
adoption in the construction industry. This study concluded that new technologies such as Big
Data (BD) require a change in the industry's culture and the adoption of digital approaches to
be fully implemented. The findings of this research provide valuable insights that can help the
construction industry adopt BD technology, thus accessing the short and long-term benefits
that this technology offers.Government of the Dominican Republic through the Ministry of Higher Education, Science and Technology
Bowdoin Orient v.134, no.1-24 (2004-2005)
Get PDFhttps://digitalcommons.bowdoin.edu/bowdoinorient-2000s/1005/thumbnail.jp
