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Abstracts from JASIS&T
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JASIS&T v. 56 (7)
N. & Markpin, T. (2005). Making and equality of ISI impact
factors for different subject fields, (676-683).
The ISI journal impact factors are widely known and used to evaluate
journal qualities and subsequently the work of individual scientists
published in the journals, and the results can become meaningless
when making comparisons between subject fields. This injustice will
remain as long as the ISI impact factors are employed as an
instrument to assess the international research quality. Here we
propose a new mathematical index entitled “Impact Factor Point
Average” (IFPA) for assessment of the quality of individual
research work in different subject fields. The proposed index is
simple and enables the ISI impact factors to be used with equality,
especially when evaluating the quality of research works in
different subject fields.
New? The IFPA index is new and established based on a
normalization of differences in impact factors, rankings and number
of journal titles in different subject fields.
The IFPA index is obtained from the impact factors produced
yearly by the Institute for Scientific Information (ISI).
J. (2005). Impact and relevance of LIS journals: A linguistic
analysis of question taxomomies, (715-728).
and Results: This paper explores the steps in the process of
providing chat reference, as well as issues involved in providing
such service at each step. Open research questions at each step in
the process of providing chat reference service are presented. The
entire process of providing chat reference is viewed as a whole, and
an abstract model of the provision of chat reference service is
New? The questions
posed in this paper are the most important open questions in chat
reference service at this time and may guide future research in this
area by both scholars and practitioners. The model developed in this
paper may serve as a conceptual framework for identifying additional
questions in chat reference service and for development of chat
As chat reference technology develops, some of the questions
posed in this paper will be answered and additional questions will
be identified. Many of the questions posed in this paper likely have
no single, definitive answer but are instead context-dependent.
JASIS&T v. 56 (8)
N. (2005). Community networks: Community capital or merely an
affordable Internet access tool? (812-823).
and Results: This study examined a perceived gap between the
ideal and the reality of community networks. There has been a
concern that citizens might use the network as a means to connect to
the Internet rather than to their communities. Surveying 213
community network users, this study found that over two-thirds of
the respondents were unaware of the service’s community contents.
A hierarchical multiple regression analysis showed that only 20% of
respondents were people whose use was influenced by their
understanding of the service’s community-oriented nature.
New? This study empirically confirmed that the providers’
goal of community building was not fully communicated to its users.
The study also revealed three distinctive but concurrent service
models identified from service use: (a) affordable ISP model for the
socio-economically disadvantaged; (b) stepping stone model for those
who have not been exposed to the Internet previously; and (c)
community building model for those who share the same vision of
community building with the providers. This finding will be useful
to community ICT providers to understand the current practice and
plan for future services.
Replication of results in other community networks should be
followed to determine if and
to what degree the present findings can be generalized.
H. C., Teo, H. H., & Zeng, X. H. (2005). An evaluation of novice
end-user computing performance: Data modeling, query writing, and
and Results: The
choice of a data model and query language has practical effects on
end-user usage of database systems. It is hypothesized that data
modeling will affect query writing, and both of these will in turn
affect query comprehension. An experiment shows that users of the
object-oriented and entity relationship models and languages are
better than users of the logical level relational model and SQL
language for all three tasks. The object-oriented model is better
than the entity relationship model for data modeling. Furthermore,
data modeling has a positive effect on query writing, which in turn
has a positive effect on query comprehension.
studies have considered only one task at a time. This combined study
shows that performance on one task can affect performance on
another. Data model and language have both direct and indirect
effects on all three tasks. In particular, end-users will have
better query performance if they also have data modeling training.
Limitations: The results are tested for novice users only.
Copyright © 2005, American Society for Information Science and Technology