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The qualitative process data approach as an opportunity to improve innovation management studies

Authors :
Kadígia Faccin
Bibiana Volkmer Martins
Luciana Maines da Silva
Cristian Rogério Foguesatto
Alsones Balestrin
Source :
Internext: Revista Eletrônica de Negócios Internacionais, Vol 18, Iss 2 (2023)
Publication Year :
2023
Publisher :
Escola Superior de Propaganda e Marketing - ESPM, 2023.

Abstract

Objective: This article presents the process data research approach as an opportunity to improve management studies and to create a roadmap for beginners. Process research is a sidelined way to conduct qualitative studies. The fundamental concern of the process approach is to capture and apprehend the meanings attributed to organizational phenomena directly in the field of research, aiming to understand and answer the questions of ‘how’ and ‘why’ events change over time. Method: This study reviews selected recent research on innovation management that used process research criteria (temporal orientation, units of analysis, sample, data, analytical strategies, and conceptual products) as the backdrop. Main Results: The main result of this paper is the creation of a roadmap for applying the process research approach. Also, it highlights elements of improvement for management studies from the process data approach. Relevance / Originality: This study provides several examples of qualitative process research in innovation. The proposed roadmap helps increase the rigor and uses of this research approach. Theoretical / Methodological Contributions: We offer an academic discussion on process research’s role in improving (innovation) management studies.

Details

Language :
English, Spanish; Castilian, Portuguese
ISSN :
19804865
Volume :
18
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Internext: Revista Eletrônica de Negócios Internacionais
Publication Type :
Academic Journal
Accession number :
edsdoj.f3f23a2982214c158ee4902419b34532
Document Type :
article
Full Text :
https://doi.org/10.18568/internext.v18i2.682