How to Determine the Best Indexes of Industry Website by FANP Approach

  • Chih-Chao Chung
  • Hsiu-Chu Huang
  • Huei-Yin Tsai
  • Shi-Jer Lou
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 297)


This study is aimed to evaluate and select design indicators of enterprise web portal through FANP (Fuzzy Analytic Network Process) and establish FANP-based assessment model of design indicators of enterprise web portal. First, we discuss the relevant literature, and analyze demand assessment of web portal when enterprises introduce e-business. The important design indicators of enterprise web portal include five dimensions, totaling 15 design indicators. Based on FANP expert questionnaire analysis results, uncertainty and fuzziness of the expressions or decisions of experts are eliminated to effectively reflect views of the experts. The findings showed among the five web portal design dimensions, the dimension of two-way communication is the most important, followed by distribution, trading mechanism, webpage design and advertisement and promotion. In addition, priority ordering of the overall design indicators is obtained for analyzing the management implications, and the suggestions are provided.


website website design indicator evaluation FANP fnzzy 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bell, G., Gemmell, J.: Information superhighway dream. Communications of the ACM 39(7), 55 (1996)CrossRefGoogle Scholar
  2. 2.
    Liu, C., et al.: Web sites of the Fortune 500 companies: facing customers through home pages. Information & Management 31(6), 335–345 (1997)CrossRefGoogle Scholar
  3. 3.
    Rao Kowtha, N., Whai Ip Choon, T.: Determinants of website development: a study of electronic commerce in Singapore. Information & Management 39(3), 227–242 (2001)CrossRefGoogle Scholar
  4. 4.
    Huizingh, E.K.: The content and design of web sites: an empirical study. Information & Management 37(3), 123–134 (2000)CrossRefGoogle Scholar
  5. 5.
    Ghose, S., Dou, W.: Interactive functions and their impacts on the appeal of Internet presence sites. Journal of Advertising Research 38, 29–44 (1998)Google Scholar
  6. 6.
    Murtaza, A.H.: A framework for developing enterprise data warehouses. Information Systems Management 15(4), 21–26 (1998)CrossRefGoogle Scholar
  7. 7.
    Angehrn, A.: Designing mature Internet business strategies: the ICDT model. European Management Journal 15(4), 361–369 (1997)CrossRefGoogle Scholar
  8. 8.
    DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Information Systems Research 3(1), 60–95 (1992)CrossRefGoogle Scholar
  9. 9.
    Deighton, J.: The future of interactive marketing. Harvard Business Review 74(6), 151–161 (1996)Google Scholar
  10. 10.
    Seybold, P.B., Marshak, R.T.: Customers. com: how to create a profitable business strategy for the Internet and beyond 1998: Times Business (1998)Google Scholar
  11. 11.
    Saaty, T.: Decision making with dependence and feedback: The analytic network process, vol. 17. RWS Publications, Pittsburgh (1996)Google Scholar
  12. 12.
    Meade, L.M., Presley, A.: R&D project selection using the analytic network process. IEEE Transactions on Engineering Management 49(1), 59–66 (2002)CrossRefGoogle Scholar
  13. 13.
    Saaty, T.L., Vargas, L.G.: Decision making with the analytic network process. Springer (2006)Google Scholar
  14. 14.
    Saaty, T.L., Takizawa, M.: Dependence and independence: From linear hierarchies to nonlinear networks. European Journal of Operational Research 26(2), 229–237 (1986)CrossRefMATHMathSciNetGoogle Scholar
  15. 15.
    Lee, J.W., Kim, S.H.: Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research 27(4), 367–382 (2000)CrossRefMATHMathSciNetGoogle Scholar
  16. 16.
    Karsak, E.E., Sozer, S., Alptekin, S.E.: Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers & Industrial Engineering 44(1), 171–190 (2003)CrossRefGoogle Scholar
  17. 17.
    Chung, S.-H., Lee, A.H., Pearn, W.: Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. The International Journal of Advanced Manufacturing Technology 25(11-12), 1144–1156 (2005)CrossRefGoogle Scholar
  18. 18.
    Bozdag, C.E., Kahraman, C., Ruan, D.: Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers in Industry 51(1), 13–29 (2003)CrossRefGoogle Scholar
  19. 19.
    Emblemsvag, J., Tonning, L.: Decision support in selecting maintenance organization. Journal of Quality in Maintenance Engineering 9(1), 11–24 (2003)CrossRefGoogle Scholar
  20. 20.
    Tran, L.T., et al.: Integrated environmental assessment of the mid-Atlantic region with analytical network process. Environmental Monitoring and Assessment 94(1-3), 263–277 (2004)CrossRefGoogle Scholar
  21. 21.
    Chung, S.-H., Lee, A.H., Pearn, W.-L.: Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics 96(1), 15–36 (2005)CrossRefGoogle Scholar
  22. 22.
    Liou, T.-S., Wang, M.-J.J.: Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems 50(3), 247–255 (1992)CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chih-Chao Chung
    • 1
  • Hsiu-Chu Huang
    • 2
  • Huei-Yin Tsai
    • 3
  • Shi-Jer Lou
    • 4
  1. 1.Graduate Institute of Engineering Science and TechnologyNational Kaohsiung First University of Science and TechnologyKaohsiungTaiwan
  2. 2.Department of Leisure and Tourism ManagementShu-Te UniversityKaohsiungTaiwan
  3. 3.Department of Industrial Technology EducationNational Kaohsiung Normal UniversityKaohsiungTaiwan
  4. 4.Gradate Institute of Technological & Vocational EducationNational Pingtung University of Science & TechnologyPingtungTaiwan

Personalised recommendations