Analisis 7CFramework untuk Memprediksi Kinerja Pemasaran

Authors

  • Vincent Vincent Binus University
  • Dyah Budiastuti Binus University

DOI:

https://doi.org/10.21512/tw.v14i2.648

Keywords:

features, marketing performance

Abstract

One of the growing trends in recent decades that support the development of market share artwork is the mutation of a change in a means of artworks business. Market structure has changed along with the evolution of the Internet. Hall auction of artwork has implemented mobile auction as a form of Internet and mobile technology application. The purpose of this study is to identify the needs of mobile auction features suit to collectors of buyer and seller. The identification was based on the 7C framework on auction business process and PT Larasati Auctioneers’s marketing website. The survey was conducted on the collectors of buyer and seller; and analyzed using factor analysis. The final result describes the needs of mobile auction features and a prediction of marketing performance if mobile auction application is developped.

Dimensions

Plum Analytics

Author Biographies

Vincent Vincent, Binus University

Management Department, School of Business Management

Dyah Budiastuti, Binus University

Management Department, School of Business Management

References

Artprice. (2011). Art Market Trends 2010. Paris: ArtPrice.

Lee, Y. E. & Benbasat, I. (2004). A framework for the study of customer interface design for mobile commerce. International Journal of Electronic Commerce, 8(3), 79–102.

Pousttchi, K. & Wiedemann, D. G. (2010). Handbook of Research on Mobile Marketing Management. Hershey, PA: Business Science Reference.

Rayport, J. & Jaworski, B. (2003). Introduction to E-Commerce. 2nd Edition. New York: McGraw-Hill.

Santoso, S. (2006). SPSS Statistik Multivariat. Jakarta: Elex Media.

Supranto, J. (2010). Analisis Multivariat: Arti & Interpretasi. Jakarta: Rineka Cipta.

Downloads

Published

2013-09-30

How to Cite

Vincent, V., & Budiastuti, D. (2013). Analisis 7CFramework untuk Memprediksi Kinerja Pemasaran. Journal The Winners, 14(2), 87-94. https://doi.org/10.21512/tw.v14i2.648
Abstract 688  .
PDF downloaded 1173  .