Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
Medientyp:
E-Artikel
Titel:
Content analysis in SCM research: past uses and future research opportunities
Beteiligte:
Mir, Saif;
Lu, Shih-Hao;
Cantor, David;
Hofer, Christian
Erschienen:
Emerald, 2018
Erschienen in:
The International Journal of Logistics Management, 29 (2018) 1, Seite 152-190
Sprache:
Englisch
DOI:
10.1108/ijlm-09-2016-0200
ISSN:
0957-4093
Entstehung:
Anmerkungen:
Beschreibung:
PurposeContent analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper is to document the use of content analysis in the supply chain literature. The authors also discuss opportunities for future research.Design/methodology/approachThe authors conduct a literature review of 13 leading supply chain journals to assess the state of the content analysis-based literature and identify opportunities for future research. Additionally, the authors provide a general schema for and illustration of the use of content analysis.FindingsThe findings suggest that content analysis for quantitative studies and hypothesis testing purposes has rarely been used in the supply chain discipline. The research also suggests that in order to fully realize the potential of content analysis, future content analysis research should conduct more hypothesis testing, employ diverse data sets, utilize state-of-the-art content analysis software programs, and leverage multi-method research designs.Originality/valueThe current research synthesizes the use of content analysis methods in the supply chain domain and promotes the need to capitalize on the advantages offered by this research methodology. The paper also presents several topics for future research that can benefit from the content analysis method.