Discovering Frequent Keyword Pairs Addressed in Operations Management Related Articles Published Between 2000 and 2016 with Data Mining
Öz
Keywords provide a summarization and abstraction of document content. Several studies utilized keyword data in academic publications to find out which concepts had been widely addressed. Focusing on Operations Management field, this study reveals and introduces the popular keywords frequently used together in articles published between 2000 and 2016. For this purpose, keyword data of articles published in 39 OM – related journals were collected into a database. After elimination of redundant data and standardization of keywords, the most common keywords were identified. Among unsupervised rule mining techniques, association rule mining was used to discover frequent keyword pairs in meta-data. The major findings of the study are important since the keyword pairs correspond to the concepts covered together in OM-related studies.
Anahtar Kelimeler
Kaynakça
- Agrawal, R., Imieliński, T. and Swami, A. (1993). Mining Association Rules Between Sets of Items in Large Databases. In ACM SIGMOD Record (Vol. 22, No. 2, pp. 207-216). ACM.
- Amoako-Gyampah, K. and Meredith, J. R. (1989). The Operations Management Agenda: An Update. Journal of Operations Management, 8 (3), pp. 250-262.
- Bayardo Jr., R.J. and Agrawal, R. (1999). Mining the Most Interesting Rules. In Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 145-154). ACM.
- Filippini, R. (1997). Operations management research: some reflections on evolution, models and empirical studies in OM. International Journal of Operations & Production Management, 17 (7), pp. 655-670.
- Fry, T.D. and Donohue, J.M. (2013). Outlets for operations management research: a DEA assessment of journal quality and rankings. International Journal of Production Research, 51 (23-24), pp. 7501-7526.
- HaCohen-Kerner, Y. (2003). Automatic extraction of keywords from abstracts. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, (pp. 843-849). Springer Berlin Heidelberg.
- Maimon O. and Rokach L. (2005): Data Mining and the Knowledge Discovery Handbook. New York, USA: Springer.
- Pannirselvam, G. P., Ferguson, L. A., R. Ash, C. and Siferd, S. P. (1999). Operations Management Research: An Update for the 1990s. Journal of Operations Management, 18 (1), pp. 95-112.
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Temmuz 2017
Gönderilme Tarihi
18 Mayıs 2017
Kabul Tarihi
1 Ağustos 2017
Yayımlandığı Sayı
Yıl 2017 Cilt: 8 Sayı: 2
Cited By
MUHASEBE BİLİM ALANI DOÇENTLİK ANAHTAR KELİMELERİNİN TÜRKİYE’DEKİ AKADEMİK ÇALIŞMALAR İLE UYUMU
Muhasebe ve Vergi Uygulamaları Dergisi
https://doi.org/10.29067/muvu.783421