TY - JOUR
T1 - An Update for Taxonomy Designers
T2 - Methodological Guidance from Information Systems Research
AU - Kundisch, Dennis
AU - Muntermann, Jan
AU - Oberländer, Anna Maria
AU - Rau, Daniel
AU - Röglinger, Maximilian
AU - Schoormann, Thorsten
AU - Szopinski, Daniel
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2022/8
Y1 - 2022/8
N2 - Taxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of ‘ad-hoc’ taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy research shows that the application of this method lacks consistency and transparency and that further guidance on taxonomy evaluation is needed. To fill these gaps, this study (1) advances existing methodological guidance and (2) extends this guidance with regards to taxonomy evaluation. Informed by insights gained from an analysis of 164 taxonomy articles published in information systems outlets, this study presents an extended taxonomy design process together with 26 operational taxonomy design recommendations. Representing an update for taxonomy designers, it contributes to the prescriptive knowledge on taxonomy design and seeks to augment both rigorous taxonomy building and evaluation.
AB - Taxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of ‘ad-hoc’ taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy research shows that the application of this method lacks consistency and transparency and that further guidance on taxonomy evaluation is needed. To fill these gaps, this study (1) advances existing methodological guidance and (2) extends this guidance with regards to taxonomy evaluation. Informed by insights gained from an analysis of 164 taxonomy articles published in information systems outlets, this study presents an extended taxonomy design process together with 26 operational taxonomy design recommendations. Representing an update for taxonomy designers, it contributes to the prescriptive knowledge on taxonomy design and seeks to augment both rigorous taxonomy building and evaluation.
KW - Design science research
KW - Research methodology
KW - Taxonomy design
KW - Taxonomy development
KW - Taxonomy evaluation
UR - http://www.scopus.com/inward/record.url?scp=85117576515&partnerID=8YFLogxK
U2 - 10.1007/s12599-021-00723-x
DO - 10.1007/s12599-021-00723-x
M3 - Journal article
AN - SCOPUS:85117576515
SN - 2363-7005
VL - 64
SP - 421
EP - 439
JO - Business and Information Systems Engineering
JF - Business and Information Systems Engineering
IS - 4
ER -