Using manifest content analysis in purchasing and supply management research

被引：23
|
作者：
Dooley, Kevin J. [1 ]
机构：
[1] Arizona State Univ, Dept Supply Chain Management, Tempe, AZ 85287 USA
来源：
Journal of Purchasing and Supply Management | 2016年 / 22卷 / 04期
关键词：
Supply chain management research; Content analysis; Text analysis; Computerized text analysis; Qualitative research methods; INFORMATION DIFFUSION; OPERATIONS;
D O I：
10.1016/j.pursup.2016.08.004
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Much of the data relevant to study modern organizations is textual and qualitative in nature. With advances in computerized text analysis that enable researchers to collect and analyze large amounts of textual data, there are opportunities to address new research questions or old questions in new ways. This essay describes the use of manifest or computerized content analysis to study research questions in purchasing and supply management. The essay explores why manifest content analysis is needed to study current problems in purchasing and supply management, and discusses issues of methodological rigor, especially in the context of large data sets. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：244 / 246
页数：3
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