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Phenomenon-based research in management and organisation science: When is it rigorous and does it matter?

Von Krogh, G., Rossi-Lamastra, C. & Haefliger, S. (2012). Phenomenon-based research in management and organisation science: When is it rigorous and does it matter?. Long Range Planning, 45(4), pp. 277-298. doi: 10.1016/j.lrp.2012.05.001


Recently, the editors of Long Range Planning called for more phenomenon-based research. Such research focuses on identifying and reporting on new or recent phenomena of interest and relevance to management and organisation science. In this article, we explore the nature of phenomenon-based research and develop a research strategy that provides guidelines for researchers seeking to make this type of scientific inquiry rigorous and relevant. Phenomenon-based research establishes and describes the empirical facts and constructs that enable scientific inquiry to proceed. An account of the study of open source software development illustrates the research strategy. Rigorous phenomenon-based research tackles problems that are relevant to management practice and fall outside the scope of available theories. Phenomenon-based research also bridges epistemological and disciplinary divides because it unites diverse scholars around their shared interest in the phenomenon and their joint engagement in the research activities: identification, exploration, design, theorising and synthesis.

Publication Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Long Range Planning. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Long Range Planning, Volume 45, Issue 4, August 2012, Pages 277–298,
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments: Bayes Business School > Management
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