دانلود رایگان مقاله تجزیه و تحلیل استفاده از محتوای مانیفست در تحقیق مدیریت خرید و عرضه

abstract

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.

4. Conclusion

In this essay I have discussed the need for more broad use of manifest content analysis in purchasing and supply management research, and some of the common methodological issues that need attention in such studies. One broad area where manifest content analysis methods will be significantly needed is with socalled “big data”. Big data is already becoming a dominant force in supply chain operations (Simpson et al., 2015), and much of it is qualitative in nature. If business creates and uses such data for planning and decision making then researchers must be able to process and analyze it to address research questions that are relevant and timely. As academic researchers are called to make more direct impact on practice and policy (Hoffman et al., 2015), developing capabilities to analyze quantitative big data in (near) real-time may represent the next Holy Grail for empirical researchers.