IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v33y2005i1p55-64.html
   My bibliography  Save this article

Hierarchical fuzzy integral stated preference method for Taiwan's broadband service market

Author

Listed:
  • Tseng, Fang-Mei
  • Chiu, Yu-Jing

Abstract

The stated preference method (or conjoint analysis) has been a popular method for measuring buyer tradeoffs among multi-attribute products or services. In addition, the multi-nomial logit (MNL) model is a popular model for the stated preference method, although it relies on the assumption that its attributes have no correlations. However, in social problems, attributes are often correlated with each other. Recently, the Choquet integral has been used to solve non-additive problems. This study combines the Choquet integral and the stated preference method to propose the hierarchical fuzzy integral stated preference (HFISP) method, and then analyze the narrowband service users' preferences for broadband service. The results demonstrate that the hierarchical fuzzy integral stated preference method performs better than the partitioned fuzzy integral multi-nomial logit (PFIMNL) model. The HFISP method is effective and can be applied to deal with real life problems since it solves correlated attribute problem in discrete choice behavior.

Suggested Citation

  • Tseng, Fang-Mei & Chiu, Yu-Jing, 2005. "Hierarchical fuzzy integral stated preference method for Taiwan's broadband service market," Omega, Elsevier, vol. 33(1), pages 55-64, February.
    • Handle: RePEc:eee:jomega:v:33:y:2005:i:1:p:55-64
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-0483(04)00050-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oecd, 2001. "The Development of Broadband Access in the OECD Countries," OECD Digital Economy Papers 56, OECD Publishing.
    2. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    3. Chen, Yuh-Wen & Tzeng, Gwo-Hshiung, 2001. "Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model," European Journal of Operational Research, Elsevier, vol. 130(3), pages 653-664, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    2. Changhee Kim & Soo Wook Kim & Hee Jay Kang, 2016. "Driving Sustainable Competitive Advantage in the Mobile Industry: Evidence from U.S. Wireless Carriers," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    3. Yu-Jing Chiu & Yi-Chung Hu & Jia-Jen Du & Chung-Wei Li & Yen-Wei Ken, 2020. "Evaluating Art Licensing for Digital Archives Using Fuzzy Integral," Mathematics, MDPI, vol. 8(12), pages 1-21, December.
    4. Bölcskei, Vanda, 2010. "A távbeszélő-szolgáltatások keresleti modelljeinek áttekintése - különös tekintettel a vezetékes és mobilszolgáltatások közötti helyettesítés becslésére [A review of the demand models of telephone ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 517-535.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tseng, Fang-Mei & Yu, Ching-Ying, 2005. "Partitioned fuzzy integral multinomial logit model for Taiwan's internet telephony market," Omega, Elsevier, vol. 33(3), pages 267-276, June.
    2. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    3. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    4. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    5. Yücel, Eda & Karaesmen, Fikri & Salman, F. Sibel & Türkay, Metin, 2009. "Optimizing product assortment under customer-driven demand substitution," European Journal of Operational Research, Elsevier, vol. 199(3), pages 759-768, December.
    6. Yu Ding & Wayne S. DeSarbo & Dominique M. Hanssens & Kamel Jedidi & John G. Lynch & Donald R. Lehmann, 2020. "The past, present, and future of measurement and methods in marketing analysis," Marketing Letters, Springer, vol. 31(2), pages 175-186, September.
    7. Filipe Campante & Ruben Durante & Francesco Sobbrio, 2018. "Politics 2.0: The Multifaceted Effect of Broadband Internet on Political Participation," Journal of the European Economic Association, European Economic Association, vol. 16(4), pages 1094-1136.
    8. António Madureira & Nico Baken & Harry Bouwman, 2011. "Value of digital information networks: a holonic framework," Netnomics, Springer, vol. 12(1), pages 1-30, April.
    9. Shivaram Subramanian & Hanif Sherali, 2010. "A fractional programming approach for retail category price optimization," Journal of Global Optimization, Springer, vol. 48(2), pages 263-277, October.
    10. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.
    11. Vishal Gaur & Young-Hoon Park, 2007. "Asymmetric Consumer Learning and Inventory Competition," Management Science, INFORMS, vol. 53(2), pages 227-240, February.
    12. Ravn, Morten O. & Schmitt-Grohe, Stephanie & Uribe, Martín & Uuskula, Lenno, 2010. "Deep habits and the dynamic effects of monetary policy shocks," Journal of the Japanese and International Economies, Elsevier, vol. 24(2), pages 236-258, June.
    13. Richards, Timothy J. & Patterson, Paul M., 1999. "The Impact Of Promotion And Advertising On Choice Of Fruit Category And Apple Variety: A Latent-Class Approach," 1999 Annual meeting, August 8-11, Nashville, TN 21627, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    15. Vanitha Swaminathan & Srinivas Reddy & Sara Dommer, 2012. "Spillover effects of ingredient branded strategies on brand choice: A field study," Marketing Letters, Springer, vol. 23(1), pages 237-251, March.
    16. K. Sudhir, 2001. "Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer," Marketing Science, INFORMS, vol. 20(3), pages 244-264, October.
    17. Eric T. Anderson & Duncan I. Simester, 2001. "Are Sale Signs Less Effective When More Products Have Them?," Marketing Science, INFORMS, vol. 20(2), pages 121-142, March.
    18. Kim, Namwoon & Srivastava, Rajendra K., 2007. "Modeling cross-price effects on inter-category dynamics: The case of three computing platforms," Omega, Elsevier, vol. 35(3), pages 290-301, June.
    19. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    20. Capps, Oral & Seo, Seong-Cheon & Nichols, John P., 1997. "On the Estimation of Advertising Effects for Branded Products: An Application to Spaghetti Sauces," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 29(2), pages 291-302, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:33:y:2005:i:1:p:55-64. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.