IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v26y2007i3p293-311.html
   My bibliography  Save this item

Performance Regimes and Marketing Policy Shifts

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Du, Rex Yuxing & Kamakura, Wagner A., 2015. "Improving the statistical performance of tracking studies based on repeated cross-sections with primary dynamic factor analysis," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 94-112.
  2. Lu, Shuya & Wu, Jianan & Tseng, Shih-Lun (Allen), 2018. "How Online Reviews Become Helpful: A Dynamic Perspective," Journal of Interactive Marketing, Elsevier, vol. 44(C), pages 17-28.
  3. Shuba Srinivasan & Oliver J. Rutz & Koen Pauwels, 2016. "Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 440-453, July.
  4. Tanin, Tauhidul Islam & Hasanov, Akram Shavkatovich & Shaiban, Mohammed Sharaf Mohsen & Brooks, Robert, 2022. "Risk transmission from the oil market to Islamic and conventional banks in oil-exporting and oil-importing countries," Energy Economics, Elsevier, vol. 115(C).
  5. M. Berk Ataman & Carl F. Mela & Harald J. van Heerde, 2008. "Building Brands," Marketing Science, INFORMS, vol. 27(6), pages 1036-1054, 11-12.
  6. André Bonfrer & Xavier Drèze, 2009. "Real-Time Evaluation of E-mail Campaign Performance," Marketing Science, INFORMS, vol. 28(2), pages 251-263, 03-04.
  7. Yuxin Chen & Yogesh V. Joshi & Jagmohan S. Raju & Z. John Zhang, 2009. "A Theory of Combative Advertising," Marketing Science, INFORMS, vol. 28(1), pages 1-19, 01-02.
  8. Kathleen Cleeren & Lien Lamey & Jan‐Hinrich Meyer & Ko De Ruyter, 2016. "How Business Cycles Affect the Healthcare Sector: A Cross‐country Investigation," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 787-800, July.
  9. Maarten C. W. Janssen & Marielle C. Non, 2009. "Going Where the Ad Leads You: On High Advertised Prices and Searching Where to Buy," Marketing Science, INFORMS, vol. 28(1), pages 87-98, 01-02.
  10. Vellachami, Sanggetha & Hasanov, Akram Shavkatovich & Brooks, Robert, 2023. "Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
  11. Taku Moriyama & Masashi Kuwano & Masahito Nakayama, 2024. "A statistical method for estimating piecewise linear sales trends," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 436-444, June.
  12. Harald J. van Heerde & Shuba Srinivasan & Marnik G. Dekimpe, 2010. "Estimating Cannibalization Rates for Pioneering Innovations," Marketing Science, INFORMS, vol. 29(6), pages 1024-1039, 11-12.
  13. Xueming Luo, 2009. "Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices," Marketing Science, INFORMS, vol. 28(1), pages 148-165, 01-02.
  14. Sung, Jin Kyung & Park, Jimi & Yoo, Shijin, 2019. "Exploring the impact of strategic emphasis on advertising versus R&D during stock market downturns and upturns," Journal of Business Research, Elsevier, vol. 94(C), pages 56-64.
  15. Wang, Wanxin (Britney) & Deleersnyder, Barbara & Yildirim, Gokhan, 2025. "The impact of new product entry on brand sales volatility at the retailer: A Detailed Look into volatility drivers," Journal of Business Research, Elsevier, vol. 191(C).
  16. Markovitch, Dmitri G. & Huang, Dongling & Ye, Pengfei, 2020. "Marketing intensity and firm performance: Contrasting the insights based on actual marketing expenditure and its SG&A proxy," Journal of Business Research, Elsevier, vol. 118(C), pages 223-239.
  17. Steven M. Shugan & Debanjan Mitra, 2014. "A Theory for Market Growth or Decline," Marketing Science, INFORMS, vol. 33(1), pages 47-65, January.
  18. Leeflang, Peter S.H. & Bijmolt, Tammo H.A. & van Doorn, Jenny & Hanssens, Dominique M. & van Heerde, Harald J. & Verhoef, Peter C. & Wieringa, Jaap E., 2009. "Creating lift versus building the base: Current trends in marketing dynamics," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 13-20.
  19. S. Cem Bahadir & Koen Pauwels, 2024. "When does word of mouth versus marketing drive brand performance most?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 473-491, September.
  20. Hanssens, Dominique M. & Wang, Fang & Zhang, Xiao-Ping, 2016. "Performance growth and opportunistic marketing spending," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 711-724.
  21. Rajdeep Grewal & Murali Chandrashekaran & F. Robert Dwyer, 2008. "Navigating Local Environments with Global Strategies: A Contingency Model of Multinational Subsidiary Performance," Marketing Science, INFORMS, vol. 27(5), pages 886-902, 09-10.
  22. Kaifu Zhang & Theodoros Evgeniou & V. Padmanabhan & Emile Richard, 2012. "Content Contributor Management and Network Effects in a UGC Environment," Marketing Science, INFORMS, vol. 31(3), pages 433-447, May.
  23. Wesley Friske & Seth A. Hoelscher & Atanas Nik Nikolov, 2023. "The impact of voluntary sustainability reporting on firm value: Insights from signaling theory," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 372-392, March.
  24. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
  25. Robert Krider & Tieshan Li & Yong Liu & Charles Weinberg, 2008. "Demand and distribution relationships in the ready-to-drink iced tea market: A graphical approach," Marketing Letters, Springer, vol. 19(1), pages 1-12, March.
  26. Lee, Ju-Yeon & Fang, Eric & Kim, Jisu J. & Li, Xiaoling & Palmatier, Robert W., 2018. "The Effect of Online Shopping Platform Strategies on Search, Display, and Membership Revenues," Journal of Retailing, Elsevier, vol. 94(3), pages 247-264.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.