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The use of theory in information science research

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  • Karen E. Pettigrew
  • Lynne (E.F.) McKechnie

Abstract

We report on our findings regarding authors' use of theory in 1,160 articles that appeared in six information science (IS) journals from 1993–1998. Our findings indicate that theory was discussed in 34.1% of the articles (0.93 theory incidents per article; 2.73 incidents per article when considering only those articles employing theory). The majority of these theories were from the social sciences (45.4%), followed by IS (29.9%), the sciences (19.3%), and humanities (5.4%). New IS theories were proposed by 71 authors. When compared with previous studies, our results suggest an increase in the use of theory within IS. However, clear discrepancies were evident in terms of how researchers working in different subfields define theory. Results from citation analysis indicate that IS theory is not heavily cited outside the field, except by IS authors publishing in other literatures. Suggestions for further research are discussed.

Suggested Citation

  • Karen E. Pettigrew & Lynne (E.F.) McKechnie, 2001. "The use of theory in information science research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(1), pages 62-73.
  • Handle: RePEc:bla:jamist:v:52:y:2001:i:1:p:62-73
    DOI: 10.1002/1532-2890(2000)52:13.0.CO;2-J
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    Cited by:

    1. Yosuke Miyata & Emi Ishita & Fang Yang & Michimasa Yamamoto & Azusa Iwase & Keiko Kurata, 2020. "Knowledge structure transition in library and information science: topic modeling and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 665-687, October.
    2. Paul Beamish, 2006. "Publishing international (joint venture) research for impact," Asia Pacific Journal of Management, Springer, vol. 23(1), pages 29-46, March.
    3. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    4. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
    5. Lala Hajibayova, 2020. "(Un)theorizing citizen science: Investigation of theories applied to citizen science studies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 916-926, August.
    6. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
    7. Sidikat Shitu & Rohaya Mohd-Nor, 2017. "Implementation of Sustainability Standard into Commodity Supply Chain Networks: A Processual Case Approach," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(6), pages 52-62, June.
    8. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    9. Mauricio B. Almeida & Eduardo R. Felipe & Renata Barcelos, 2020. "Toward a document‐centered ontological theory for information architecture in corporations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1308-1326, November.
    10. Yu, Qi & Ding, Ying & Song, Min & Song, Sungjeon & Liu, Jianhua & Zhang, Bin, 2015. "Tracing database usage: Detecting main paths in database link networks," Journal of Informetrics, Elsevier, vol. 9(1), pages 1-15.

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