JACIII Vol.21 No.6 pp. 1065-1072
doi: 10.20965/jaciii.2017.p1065


Fuzzy Cognition on Factors Influencing the Co-Branding in Technical Standards Alliance – From Member Selection Perspective

Jing Hu, Mingshun Song, and Xiao Yu

College of Economics and Management, China Jiliang University
No.258 Xueyuan Street, Xiasha Higher Education District, Hangzhou 310018, China

December 26, 2016
May 2, 2017
October 20, 2017
technical standards alliances, co-branding, FCM, member selection

Branding is an important resource in a technical standards alliance. As a kind of essential resource utilization pattern, joint branding is beneficial for the enterprises in an alliance in realizing the increment of value. The selection of a cooperative partner is the first step in co-branding, and plays a significant role. This paper emphasizes the critical significance of alliance member selection for co-branding, and regards it as a breakthrough point in analyzing the key influential factors and causal correlation of such branding. Through a combination of a fuzzy cognitive map and the non-linear Hebbian learning algorithm, this research establishes a fuzzy evaluation model, realizes the dynamic simulation of a complex network system with multiple causal correlations, and obtains a final steady state of co-branding for a technical standards alliance. Thus, it allows a better understanding of the mutual relations among the different influencing factors of co-branding and their effect, as well as the proposal of a reference policy for an improvement of such influencing factors and the conversion efficiency of the optimal results.

Cite this article as:
J. Hu, M. Song, and X. Yu, “Fuzzy Cognition on Factors Influencing the Co-Branding in Technical Standards Alliance – From Member Selection Perspective,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.6, pp. 1065-1072, 2017.
Data files:
  1. [1] L. Leuthesser, C. Kouli, and R. Suri, “2+2=5? A Framework for Using Co-Branding to Leverage a Brand,” Brand Management, Vol.11, pp. 35-47, 2013.
  2. [2] X. Fang and S. Mishra, “The Effect of Brand Alliance Portfolio on the Perceived Quality of an Unknown Brand,” Advances in Consumer Research, Vol.29, pp. 519-521, 2012.
  3. [3] Zh. Ying, “Study on Relationship among Brand Alliance motivation, alliances Form and Brand Equity,” Taiwan Zhongyuan Enterprise Institute, Working paper, 2011.
  4. [4] C. J. Lambe, E. S. Robert, and D. Shelby, “Hunt, Alliance competence, resources, and alliance success: Conceptualization, measurement and initial test,” Academy of Marketing Science, Vol.30, pp. 141-158, 2002.
  5. [5] Y. H. Dai and P. Zhang, “Review of Basic Issues of Technical Standards Alliance,” Science and Technology Management Research, Vol.10, pp. 119-121, 2010.
  6. [6] D. Li and M. Zeng, “Research on governance structure and governance mechanism of High-tech Industry Technical Standards Alliance,” China Industrial Economy, Vol.10, pp. 78-81, 2006.
  7. [7] A. D. Shocker, “Positive and Negative Effects of Brand Extensions and Brand Alliance,” Advances in Consumer Research, Vol.22, pp. 432-434, 1995.
  8. [8] C. W. Park, S. Y. Jun, and A. D. Shocker, “Composite Branding Alliance: An Investigation of Extension and Feedback Effect,” J. of Marketing Research, Vol.33, pp. 453-466, 2002.
  9. [9] T. Blackett and B. Boad, “Organizing Successful Co-Marketing Alliances,” J. of Marketing, Vol.9, pp. 60-61, 2006.
  10. [10] X. C. Fan and T. Y. Zhang, “Discussion on Co-Branding Strategy of Multinational Corporations,” Foreign Economics and Management, Vol.9, pp. 2-6, 2003.
  11. [11] X. Xue and X. Y. Chen, “Exploring Co-branding Strategy Model,” Business Economics and Administration, Vol.10, pp. 132-133, 2006.
  12. [12] J. N. Xu, “Understanding and Thinking the enterprise co-branding strategy,” Business Research, Vol.4, pp. 21-24, 2009.
  13. [13] T. Blackett and B. Boad, “Co-branding Strategy,” Harvard Business Review, Vol.76, pp. 77-90, 2007.
  14. [14] C. Baumgarth, “Evaluations of Co-brands and Spill-over Effects: Further Empirical Results,” J. of Marketing Communications, Vol.7, pp. 115-131, 2004.
  15. [15] R Abratt and P Motlana, “Managing Co-branding Strategies: Global Brands into Local Markets,” Business Horizons, Vol.9, pp. 43-50, 2002.
  16. [16] M. Prince and M. Davies, “Co-branding Partners: What do they see in Each Other?” Business Horizons, Vol.5, pp. 51-55, 2008.
  17. [17] J. Washburn, B. D. Till, and R. Priluck, “Brand Alliance and Cusomer-based Brand-equity Effects,” Psychology and Marketing, Vol.21, No.7, pp. 487-508, 2004.
  18. [18] S. Bridges, K. L. Keller, and S. Sood, “Communication Strategies for Brand Extensions: Enhancing Perceived Fit by Establishing Explanatory Links,” J. of Advertising, Vol.29, No.4, pp. 1-11, 2000.
  19. [19] J. E. Keith, D. W. Jackson, and L. A. Crosby, “Effects of Alternative Types of Influence Strategies under Different Channel Dependence Structures,” J. of Marketing, Vol.54, pp. 30-41, 2008.
  20. [20] R. Huang, “Research on Brand Joint: Overview and Conception,” Business Economy and Management, Vol.3, pp. 70-74, 2009.
  21. [21] B. L. Simonin and J. A. Ruth, “Is the Company Known by the Company It Keeps? Assessing the Spillover Effects of Brand Alliances on Consumer Brand Attitudes,” J. of Marketing Research, Vol.35, pp. 30-42, 2008.
  22. [22] L. Lee, “Country-of-origin Ft’s Effect on Consumer Product Evaluation in Cross-border Strategic Brand Alliance,” J. of Marketing Research, Vol.3, pp. 49-158, 2006.
  23. [23] B. Kosko, Fuzzy Engineering, Prentice Hall, 1997.
  24. [24] P. Craiger, M. Coovert, “Modeling Dynamic Social and Psychological Process with Fuzzy Cognitive Maps,” IEEE, pp. 221-246, 2004.
  25. [25] D. E. Koulouriotis, I. E.D. Lialoulakis, and D. M. A. Emiris, “Fuzzy Cognitive Map-based Stock Market Model: Synthesis, Analysis and Experimental Results,” IEEE, pp. 238-245, 2011.
  26. [26] K. Perusich, “Fuzzy cognitive maps for policy analysis,” IEEE, pp. 457-471, 2006.
  27. [27] R Yu and G. H. Tzeng, “A soft computing method for multi-criteria decision making with dependence and feedback,” Applied Mathematics and Computation, Vol.180, No.1, pp. 63-75, 2006.
  28. [28] E. Papageorgiou, C. Stylios, and P. Groumpos, “Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule,” Proc. of the Australian Conf. on Artificial Intelligence, Australian, pp. 256-268, 2003.

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