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158 Journal of Library Science in China, Vol.11, 2019

in GIRS include Friends, Store, Points/Achievements, Leaderboards/Badges, and Content
Unlocking; the most helpful game elements for information searching include Points, Friends,
Badges, Content Unlocking, and Levels; the most attractive game elements for continuous use
of GIRS include Friends, Achievements, Leaderboards, Badges/Levels/Points, and Exchange.
The study also found that perception of interest, perception of usefulness, experience with
games, perception of achievement, etc. affect users’ selection of game elements. The study has
implications for the development and design of GIRS. It identifies users’ preferred game elements
and the factors that affect users’ usage intention. The study reveals the possible target user group
of GIRS. It provides empirical evidence for developing GIRS in the future. The study has also
limitations, including small sample size, unbalance of the sample, and the limitations of a paper
prototyping which cannot present live game, sound, and time. In sum, the study presents a user
study on GIRS, and makes a step forward to examine users’ needs, attitude, and usage intention of
GIRS. It provides insights for studies on GIRS. Future studies will design a live GIRS and make
contribution to the development of new information retrieval systems that can meet Generation Z’s
needs.

Analysis on cross-regional scientific research collaboration model

〇a ∗
YE Guanghui & XIA Lixin
Independent research is being promoted to the level of interdisciplinary and cross-regional
scientific research collaboration, but the research on the latter is far less abundant than the
former. Through systematic literature analysis, the current research topics on the status quo and
performance evaluation of industry-university-research cooperation are revealed. The main
methods are statistical analysis and network analysis.
The information search and information retrieval (IS&R), health informatics (HI) and user
seeking behavior (USB) are used as test subjects, and a total of 3,242 bibliographic records in Web
of Science are obtained to construct cross-regional scientific research collaboration network. The
centrality of node in undirected weighted collaboration network is calculated to discover hotspot
countries, cities and universities; simulating the connection strength of directed weighted network,
the direction of knowledge flow has been depicted; identifying the role of nodes, the mainstream
model of scientific research collaboration at city level can be explored. Through QAP analysis,
the influence of geographic distance on the collaboration intensity is analyzed, and the correlation
between the node research ability and the collaboration intensity is revealed. With the help of
evolutionary analysis, the development history of collaboration network and the migration of node
roles are clarified.

* Correspondence should be addressed to YE Guanghui, Email: 3879-4081@163.com, ORCID: 0000-0001-8111-5034