Theory-informed design and evaluation of an advanced search and knowledge mapping system in nanotechnology

Yan Dang, Yulei Zhang, Hsinchun Chen, Susan A. Brown, Paul Jen Hwa Hu, Jay F. Nunamaker

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Effective search support is an important tool for helping individuals deal with the problem of information overload. This is particularly true in the field of nanotechnology, where information from patents, grants, and research papers is growing rapidly. Guided by cognitive fit and cognitive load theories, we develop an advanced Web-based system, Nano Mapper, to support users' search and analysis of nanotechnology developments. We perform controlled experiments to evaluate the functions of Nano Mapper. We examine users' search effectiveness, efficiency, and evaluations of system usefulness, ease of use, and satisfaction. Our results demonstrate that Nano Mapper enables more effective and efficient searching, and users consider it to be more useful and easier to use than the benchmark systems. Users are also more satisfied with Nano Mapper and have higher intention to use it in the future. User evaluations of the analysis functions are equally positive.

Original languageEnglish (US)
Pages (from-to)99-128
Number of pages30
JournalJournal of Management Information Systems
Volume28
Issue number4
DOIs
StatePublished - Apr 1 2012

Fingerprint

Nanotechnology
Experiments
Evaluation
Knowledge mapping

Keywords

  • cognitive fit
  • cognitive load
  • information system evaluation
  • knowledge mapping
  • searching
  • visualization

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems and Management
  • Management Science and Operations Research
  • Computer Science Applications

Cite this

Theory-informed design and evaluation of an advanced search and knowledge mapping system in nanotechnology. / Dang, Yan; Zhang, Yulei; Chen, Hsinchun; Brown, Susan A.; Hu, Paul Jen Hwa; Nunamaker, Jay F.

In: Journal of Management Information Systems, Vol. 28, No. 4, 01.04.2012, p. 99-128.

Research output: Contribution to journalArticle

Dang, Yan ; Zhang, Yulei ; Chen, Hsinchun ; Brown, Susan A. ; Hu, Paul Jen Hwa ; Nunamaker, Jay F. / Theory-informed design and evaluation of an advanced search and knowledge mapping system in nanotechnology. In: Journal of Management Information Systems. 2012 ; Vol. 28, No. 4. pp. 99-128.
@article{65b1dd7017854c1b9199c045f0ae9cbd,
title = "Theory-informed design and evaluation of an advanced search and knowledge mapping system in nanotechnology",
abstract = "Effective search support is an important tool for helping individuals deal with the problem of information overload. This is particularly true in the field of nanotechnology, where information from patents, grants, and research papers is growing rapidly. Guided by cognitive fit and cognitive load theories, we develop an advanced Web-based system, Nano Mapper, to support users' search and analysis of nanotechnology developments. We perform controlled experiments to evaluate the functions of Nano Mapper. We examine users' search effectiveness, efficiency, and evaluations of system usefulness, ease of use, and satisfaction. Our results demonstrate that Nano Mapper enables more effective and efficient searching, and users consider it to be more useful and easier to use than the benchmark systems. Users are also more satisfied with Nano Mapper and have higher intention to use it in the future. User evaluations of the analysis functions are equally positive.",
keywords = "cognitive fit, cognitive load, information system evaluation, knowledge mapping, searching, visualization",
author = "Yan Dang and Yulei Zhang and Hsinchun Chen and Brown, {Susan A.} and Hu, {Paul Jen Hwa} and Nunamaker, {Jay F.}",
year = "2012",
month = "4",
day = "1",
doi = "10.2753/MIS0742-1222280405",
language = "English (US)",
volume = "28",
pages = "99--128",
journal = "Journal of Management Information Systems",
issn = "0742-1222",
publisher = "M.E. Sharpe Inc.",
number = "4",

}

TY - JOUR

T1 - Theory-informed design and evaluation of an advanced search and knowledge mapping system in nanotechnology

AU - Dang, Yan

AU - Zhang, Yulei

AU - Chen, Hsinchun

AU - Brown, Susan A.

AU - Hu, Paul Jen Hwa

AU - Nunamaker, Jay F.

PY - 2012/4/1

Y1 - 2012/4/1

N2 - Effective search support is an important tool for helping individuals deal with the problem of information overload. This is particularly true in the field of nanotechnology, where information from patents, grants, and research papers is growing rapidly. Guided by cognitive fit and cognitive load theories, we develop an advanced Web-based system, Nano Mapper, to support users' search and analysis of nanotechnology developments. We perform controlled experiments to evaluate the functions of Nano Mapper. We examine users' search effectiveness, efficiency, and evaluations of system usefulness, ease of use, and satisfaction. Our results demonstrate that Nano Mapper enables more effective and efficient searching, and users consider it to be more useful and easier to use than the benchmark systems. Users are also more satisfied with Nano Mapper and have higher intention to use it in the future. User evaluations of the analysis functions are equally positive.

AB - Effective search support is an important tool for helping individuals deal with the problem of information overload. This is particularly true in the field of nanotechnology, where information from patents, grants, and research papers is growing rapidly. Guided by cognitive fit and cognitive load theories, we develop an advanced Web-based system, Nano Mapper, to support users' search and analysis of nanotechnology developments. We perform controlled experiments to evaluate the functions of Nano Mapper. We examine users' search effectiveness, efficiency, and evaluations of system usefulness, ease of use, and satisfaction. Our results demonstrate that Nano Mapper enables more effective and efficient searching, and users consider it to be more useful and easier to use than the benchmark systems. Users are also more satisfied with Nano Mapper and have higher intention to use it in the future. User evaluations of the analysis functions are equally positive.

KW - cognitive fit

KW - cognitive load

KW - information system evaluation

KW - knowledge mapping

KW - searching

KW - visualization

UR - http://www.scopus.com/inward/record.url?scp=84860654531&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860654531&partnerID=8YFLogxK

U2 - 10.2753/MIS0742-1222280405

DO - 10.2753/MIS0742-1222280405

M3 - Article

VL - 28

SP - 99

EP - 128

JO - Journal of Management Information Systems

JF - Journal of Management Information Systems

SN - 0742-1222

IS - 4

ER -