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Taxonomy Research in Information Systems : A Systematic Assessment

Title data

Lösser, Benedict ; Oberländer, Anna Maria ; Rau, Daniel:
Taxonomy Research in Information Systems : A Systematic Assessment.
2019
Event: 27th European Conference on Information Systems (ECIS) , 08.-14.06.2019 , Stockholm and Uppsala, Sweden.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

Today’s world is changing at unprecedent speed and scale becoming more complex to understand. Taxonomies represent an important tool for understanding and analyzing complex domains based on the classification of objects. In the Information Systems (IS) domain, Nickerson et al. (2013) were the first to propose a taxonomy development method, addressing the observation that many taxonomies have been developed in an ‘ad-hoc’ approach. More than five years after Nickerson et al.’s (2013) publication, we examined to what extent recently published taxonomy articles account for existing methodological guidance. Therefore, we identified and reviewed 33 taxonomy articles published between 2013 and 2018 in leading Information Systems journals. Our results were sobering: We found few taxonomy articles that followed any specific development method. Although most articles correctly understood taxonomies as conceptually or empirically derived groupings of dimensions and characteristics, our study revealed that the development process often remained opaque and that taxonomies were hardly evaluated. We discuss these findings and potential root causes related to method design, method adoption, and the general positioning of taxonomy research in the IS domain. Our study proposes stimulating questions for future research and contributes to the IS community’s progress towards methodologically well-founded taxonomies.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Taxonomy; Typology; Method; Literature Review
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 07 Jun 2019 06:28
Last Modified: 07 Jun 2019 06:28
URI: https://eref.uni-bayreuth.de/id/eprint/49270