استفاده از یک روش خودکار برای نشان دادن تم های مخفی در تحقیقات بازاریابی مالی (1961-2010)
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|2437||2012||11 صفحه PDF||سفارش دهید||8090 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 39, Issue 12, 15 September 2012, Pages 11055–11065
This paper analyses the academic research conducted in financial marketing from 1961 to 2010. To do so, an automatic approach for detecting and visualising the hidden themes is applied. This automatic approach, based on co-word analysis, combines performance analysis and science mapping. It permits visualising the division of the financial marketing research (FMR) into several subfields, and indicate the relationships between them. These outcomes are completed with a systematic review, where a content analysis is used to explore the type of methodologies and topics most frequently used. The results allow us to identifying trends that will presumably be developed in FMR in coming years. In addition, these results also help both experts and novices to understand the current state of the art of FMR and to predict where future research could lead.