Citation classics published in knowledge management journals. Part III: authorsurvey

Alexander Serenko, John Dumay

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Purpose: This paper is the third part of a series of works investigating the top 100 knowledge management (KM) citation classic articles. The purpose of this paper is to understand why KM citation classics are well-cited. Design/methodology/approach: The results of a survey of 58 KM citation classic authors were reported as descriptive statistics and subjected to content analysis. Findings: An archetype of a KM citation classic author was constructed including demographics, personal characteristics, motivation and work preferences. There is a need for developing novel ideas in KM research. Timeliness of a publication is directly linked to its future impact. Editors should involve citation classics authors as reviewers, and KM researchers should improve their citation practices. Serendipity played a very important role in early KM research, especially from the perspective of discovering new and interesting phenomena. Research limitations/implications: Whereas the importance of serendipity is not questioned, future KM researchers should rely more on a formal, meticulous and well-planned research approach rather than on the hope of making a discovery by accident or luck. KM citation classics authors relied on serendipity to form the foundation of the discipline, but extending their work requires formal and structured inquiries. Practical implications: Many authors conducted research to solve a problem to serve the needs of both practice and academia, rather than being overly theoretical. Originality/value: Because KM researchers can no longer rely on past bibliometric theories, this paper helps understand why specific articles are highly cited and recommends how to conduct and develop future KM research that has impact.
Original languageEnglish
Pages (from-to)330-354
Number of pages25
JournalJournal of Knowledge Management
Volume21
Issue number2
DOIs
Publication statusPublished - 2017

Keywords

  • scientometrics
  • academic research
  • serendipity
  • author survey
  • citation classics

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