Universität zu Köln

Chandrasekaran, Aravind, Linderman, Kevin and Sting, Fabian J. (2018). Avoiding epistemological silos and empirical elephants in OM: How to combine empirical and simulation methods? J. Oper. Manag., 63. S. 1 - 6. HOBOKEN: WILEY. ISSN 1873-1317

Full text not available from this repository.

Abstract

Progression of knowledge in operations management (OM) relies on researchers building and testing theories using data from practice. However, standalone empirical research designs have inherent limitations and may not adequately capture complex OM problems. This may result in researchers narrowing the scope of the problems that they create epistemological silos and study empirical elephants. In this introductory article to the special issue, we look at the ways simulation methods can augment and answer questions that are not addressed through traditional empirical methods. We offer a framework regarding how and when to use simulation methods for a given research objectives and design. We conclude by discussing the contingencies of using these methods as well as the role of reviewers and editors in evaluating papers that involve such methods.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Chandrasekaran, Aravind UNSPECIFIED UNSPECIFIED UNSPECIFIED Linderman, Kevin UNSPECIFIED UNSPECIFIED UNSPECIFIED Sting, Fabian J. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-166496
DOI:	10.1016/j.jom.2018.11.003
Journal or Publication Title:	J. Oper. Manag.
Volume:	63
Page Range:	S. 1 - 6
Date:	2018
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1873-1317
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language OPERATIONS MANAGEMENT; QUALITY Multiple languages Management; Operations Research & Management Science Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/16649