A method for taxonomy development and its application in information systems

被引:571
作者
Nickerson, Robert C. [1 ]
Varshney, Upkar [2 ]
Muntermann, Jan [3 ,4 ]
机构
[1] San Francisco State Univ, Coll Business, Dept Informat Syst, San Francisco, CA 94132 USA
[2] Georgia State Univ, Robinson Coll Business, Dept Comp Informat Syst, Atlanta, GA 30303 USA
[3] Univ Gottingen, Dept Informat Syst, D-37073 Gottingen, Germany
[4] Univ Gottingen, Dept Finance Accounting & Taxes, D-37073 Gottingen, Germany
关键词
taxonomy; typology; classification; taxonomy development; research methodologies; MOBILE COMMERCE; TYPOLOGY; DESIGN; ONTOLOGY; CLASSIFICATION; ANTECEDENTS; FRAMEWORK; SERVICES; SUCCESS; SCIENCE;
D O I
10.1057/ejis.2012.26
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A fundamental problem in many disciplines is the classification of objects in a domain of interest into a taxonomy. Developing a taxonomy, however, is a complex process that has not been adequately addressed in the information systems (IS) literature. The purpose of this paper is to present a method for taxonomy development that can be used in IS. First, this paper demonstrates through a comprehensive literature survey that taxonomy development in IS has largely been ad hoc. Then the paper defines the problem of taxonomy development. Next, the paper presents a method for taxonomy development that is based on taxonomy development literature in other disciplines and shows that the method has certain desirable qualities. Finally, the paper demonstrates the efficacy of the method by developing a taxonomy in a domain in IS.
引用
收藏
页码:336 / 359
页数:24
相关论文
共 119 条
  • [1] Abdelaal A., 2007, P 13 AM C INF SYST
  • [2] ALTER S, 1977, SLOAN MANAGE REV, V19, P39
  • [3] Anderberg M.R., 1973, Probability and Mathematical Statistics, DOI DOI 10.1016/C2013-0-06161-0
  • [4] Anderson G. A., 1975, Computing Surveys, V7, P197, DOI 10.1145/356654.356658
  • [5] [Anonymous], 2011, 17 AM C INF SYST
  • [6] [Anonymous], 1995, INFORM SYSTEMS DEV D, DOI DOI 10.1017/CBO9780511895425
  • [7] [Anonymous], 1980, PHYLOGENETIC PATTERN
  • [8] [Anonymous], 1963, PRINCIPLES NUMERICAL
  • [9] [Anonymous], 1984, Cluster Analysis
  • [10] [Anonymous], 2019, The sciences of the artificial