Human behavior analysis in the production and consumption of scientific knowledge across regions. A case study on publications in Scopus
| DOI | https://doi.org/10.1108/LHT-04-2017-0076 |
| Published date | 20 November 2017 |
| Pages | 577-587 |
| Date | 20 November 2017 |
| Author | Muhammad Awais Qasim,Saeed Ul Hassan,Naif Radi Aljohani,Miltiadis D. Lytras |
| Subject Matter | Library & information science,Librarianship/library management,Library technology,Information behaviour & retrieval,Information user studies,Metadata,Information & knowledge management,Information & communications technology,Internet |
Human behavior analysis in the
production and consumption
of scientific knowledge
across regions
A case study on publications in Scopus
Muhammad Awais Qasim
Department of Computer Science, Information Technology University,
Lahore, Pakistan
Saeed Ul Hassan
Information Technology University, Lahore, Pakistan
Naif Radi Aljohani
Faculty of Computing and Information Technology, King Abdulaziz University,
Jeddah, Saudi Arabia, and
Miltiadis D. Lytras
The American College of Greece, Athens, Greece
Abstract
Purpose –The latest developments in Data Science and in advanced Scientometrics set a very challenging
context for the analysis and the understanding of human behavior toward the design of value adding library
services and sophisticated information systems. The purpose of this paper is to present an innovative
research that integrates the creation and the consumption of scientific knowledge across regions. From a
human behavior point of view, this is significant since it provides an advanced decision-making layer for
bringing together researchers from all over the world.
Design/methodology/approach –More specific in this pape r, the authors analyze the production
and consumption of scie ntific knowledge acro ss the regions in an import ant field of sustainabl e and
renewable energy –using publications and cit ations data indexed in Scopus. As a case st udy, the authors
select the USA a major prod ucer of scientific publi cations in the field. At f irst, the authors ident ify
the topics produced by t he USA. Further topics pr oduced by the scientif ic communities outsid e the
USA that consume the knowledge pr oduced by the USA are identifie d. The authors generate topics
by employing the propos ed topic model with dista nce matrix –an extension o f classic latent Dirichl et
allocation model.
Findings –The results show that research topics produced by the USA are consumed in different
international contexts, interestingly. Consuming the knowledge produced by the USA, Chinese scientific
community heavily produces topics related to biomass –to produce renewable energy. In contrast, Japanese
scientific community produces topics related to fuel cell –used for the production of hybrid and electronic
vehicles. Whereas the Taiwanese scientific community shows remarkable competency in solar cells. Among
the European nations, while the German scientific community produces topics related to photovoltaic, the
French scientific community covers topics related to Energy Storage and Green Chemistry. The authors
believe that such analyses may be helpful in establishing more effective multi-national research
collaborations by understating the actual consumption of produced knowledge.
Practical implications –Overall, the study provides a new dimension to comprehensively understand
production and consumption of knowledge using scientific literature. From a human behavior analysis view
in the context of sophisticated library systems, this is a significant contribution.
Originality/value –The use of advanced Data Mining and computing methods for deriving critical insights
for the use of scientific knowledge is a bold action toward the global knowledge society vision.
Keywords Library services, Data Mining, Social networks, Scientometrics, Data Science,
Human behaviour analysis
Paper type Research paper
Library Hi Tech
Vol. 35 No. 4, 2017
pp. 577-587
© Emerald PublishingLimited
0737-8831
DOI 10.1108/LHT-04-2017-0076
Received 17 April 2017
Accepted 2 June 2017
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0737-8831.htm
577
Human
behavior
analysis
To continue reading
Request your trial