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Literature Search Habits of MIS Academics: Empirical Evidence on the Discovery of Impactful Research

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Organizing in a Digitized World (ItAIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 50))

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Abstract

The amount of academic literature published every year has increased at a steady 20% rate since the 1990s. With this impressive growth of available information, the discovery of relevant papers that are worth reading is recognized to be challenging. The search mechanisms of online archives are generally considered limited, as search keywords typically span multiple research areas and retrieve a large number of papers that are only partly pertinent to the user’s interests.

The first research question of this paper is whether and to what extent academics perform their search online. The second research question is whether and to what extent academics use current advanced search mechanisms, as an indication of their commitment to online discovery. The third research question is on the role played by online search in different phases of the research process, that is choosing a research topic, finding readings on the topic, and selecting citations. To help answer these questions, the paper presents the results of an empirical survey conducted with academics in the MIS field. Findings from 326 respondents unveil interesting insights on the literature search habits of academics and, overall, indicate that despite the consensus on the low quality of current online search mechanisms, only a tiny minority of users seems to be willing to trade search simplicity for relevance.

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References

  1. Adriaanse, L., Rensleigh, C.: Web of Science, Scopus and Google Scholar: a content comprehensiveness comparison. Electron. Libr. 31(6), 727–744 (2013)

    Article  Google Scholar 

  2. AISNET (2016). https://aisnet.org/?SeniorScholarBasket

  3. Baez, M., Birukou, A., Casati, F., Marchese, M.: Addressing information overload in the scientific community. IEEE Internet Comput. 14(6), 31–38 (2010)

    Article  Google Scholar 

  4. Bakkalbasi N., Bauer K., Glover J., Wang L.: Three options for citation tracking: Google Scholar, Scopus and Web of Science. Biomed. Digit. Libr. 3(7), 1–8 (2006)

    Google Scholar 

  5. Barbagallo, D., Bruni, L., Francalanci, C., Giacomazzi, P., Merlo, F., Poli, A.: Semi-automated methods for the annotation and design of a semantic network designed for sentiment analysis of social web content. In: Proceedings of 10th International Workshop on Web Semantics (WebS11), Toulouse, France, August (2011)

    Google Scholar 

  6. Belkadhi, K., Trabelsi, A.: Toward a stochastically robust normalized impact factor against fraud and scams. Scientometrics 124(3), 1871–1884 (2020). https://doi.org/10.1007/s11192-020-03577-4

    Article  Google Scholar 

  7. Bergstrom, C.T., West, J.D., Wiseman, M.A.: The Eigenfactor™ metrics. J. Neurosci. 28(45), 11433–11434 (2008)

    Google Scholar 

  8. Boell, S.K., Cecez-Kecmanovic, D.: On being ‘systematic’ in literature reviews in IS. J. Inf. Technol. 30, 161–173 (2014)

    Article  Google Scholar 

  9. Boonyoung, T., Mingkhwan, A.: Semantic search: document ranking and clustering using computer science ontology and N-grams. J. Digit. Inf. Manag. 12(6), 369–378 (2014)

    Google Scholar 

  10. Bornmann, L.: h-index research in scientometrics: a summary. J. Informetr. 8(3), 749–750 (2014)

    Article  Google Scholar 

  11. Bornmann, L., Mutz, R., Hug, S.E., Daniel, H.D.: A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants. J. Informetr. 5(3), 346–359 (2011)

    Article  Google Scholar 

  12. Bosman, J., van Mourik, I., Rasch, M., Sieverts, E., Verhoeff, H.: Scopus reviewed and compared. Utrecht University Library (2006)

    Google Scholar 

  13. CAIS, Special Issue on Self Citation (2009)

    Google Scholar 

  14. Campbell, P.: Escape from the impact factor. Inter-Res. 8(1), 5–7 (2008)

    Google Scholar 

  15. Charitonidis, C., Rashid, A., Taylor, P.J.: Weak signals as predictors of real-world phenomena in social media. In: Proceedings of IEEE/ACM International Conference on Weak Signals as Predictors of Real-World Phenomena in Social Media (2015)

    Google Scholar 

  16. Cobo, M.J., Lopez-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: Science mapping software tools: review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 62(7), 1382–1402 (2011)

    Article  Google Scholar 

  17. Falagas, M., Pitsouni, E., Malietzis, G., Pappas, G.: Comparison of PubMed, Scopus, Web of Science, and Google Scholar: stengths and weaknesses. FASEB J. Life Sci. Forum 22, 338–342 (2008)

    Google Scholar 

  18. Wu, H., Hua, Y., Li, B., Pei, Y.: Enhancing citation recommendation with various evidences. In: 2012 IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 12), pp. 1160–1165 (2012)

    Google Scholar 

  19. Jacsò, P.: Savvy searching, Google Scholar: the pros and the cons. Online Inf. Rev. 29(2), 208–214 (2005)

    Article  Google Scholar 

  20. Jacsò, P.: Savvy searching: Google Scholar revisited. Online Inf. Rev. 32(1), 102–114 (2008)

    Article  Google Scholar 

  21. Rossiter, S., Noble, J., Bell, K.R.W.: Social simulations: improving interdisciplinary understanding of scientific positioning and validity. J. Artif. Soc. Soc. Simul. 13(1), 1–34 (2010)

    Article  Google Scholar 

  22. Schreiber, M.: A variant of the h-index to measure recent performance. J. Assoc. Inf. Sci. Technol. 66(11), 2373–2380 (2015)

    Google Scholar 

  23. Scopus, Content Coverage Guide (2014). http://www.elsevier.com/__data/assets/pdf_file/0007/69451/sc_content-coverage-guide_july-2014.pdf

  24. Shultz, M.: Comparing test searches in PubMed and Google Scholar. J. Med. Libr. Assoc. 95(4), 442–445 (2007)

    Google Scholar 

  25. Thomson Reuters Community: Citation Impact Center (2016). http://community.thomsonreuters.com/t5/Citation-Impact-Center/Web-of-Science-Coverage-Expansion/ba-p/10663

  26. Uyar, A., Aliyu, F.M.: Evaluating search features of Google Knowledge Graph and Bing Satori: entity types, list searches and query interfaces. Online Inf. Rev. 39(2), 197–213 (2015)

    Google Scholar 

  27. Vanclay, J.K.: Impact factor: outdated artefact or stepping-stone to journal certification? Scientometrics 92(2), 211–238 (2012)

    Article  Google Scholar 

  28. Wells, J., Truran, M., Goulding, J.: Search habits of the computer literate. In: ACM Hypertext Conference 2007 (HT 2007) (2007)

    Google Scholar 

  29. Yoon, J.: Detecting weak signals for long-term business opportunities using text mining of Web news (2012)

    Google Scholar 

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Acknowledgements

We would like to thank Marco Zamperetti, former Master student at Politecnico di Milano, for his assistance in the early phases of this research. This research has been supported by The Association of Information Technology Trust (AITT, London UK).

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Correspondence to Chiara Francalanci .

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Appendix (1) – Questionnaire and Qualitative Analysis of Responses

Appendix (1) – Questionnaire and Qualitative Analysis of Responses

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Francalanci, C., Giacomazzi, P. (2022). Literature Search Habits of MIS Academics: Empirical Evidence on the Discovery of Impactful Research. In: Za, S., Consorti, A., Virili, F. (eds) Organizing in a Digitized World. ItAIS 2020. Lecture Notes in Information Systems and Organisation, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-86858-1_16

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  • DOI: https://doi.org/10.1007/978-3-030-86858-1_16

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