• Adler, M. (1996). Gazing into the oracle: the Delphi method and its application to social policy and public health. Jessica Kingsley Publishers.
• Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
• Anderson, D. R., Sweeney, D. J., & Williams, T. A. (1998). Quantitative methods for business (7th ed.). OH: International Thomson Publishing.
• Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of-the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069.
• Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: a theoretical synthesis. Review of Educational Research, 65(3), 245-281.
• Chang, J. R., Ho, T. H., Cheng, C. H., & Chen, A. P. (2006). Dynamic fuzzy OWA model for group multiple-criteria decision making. Soft Computing, 10(7), 543-554.
• Chen, H., Wigand, T. R., & Nilan, M. (1999). Optimal experience of web activities. Computers in Human Behavior, 15(5), 585-608.
• Cheng, C. H., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research, 142, 174-186.
• Choi, D. H., Kim, J., & Kim, S. H. (2007). ERP training with a web-based electronic learning system: the Flow theory perspective. International Journal of Human-Computer Studies, 65(3), 223-243.
• Clayton, M. J. (1997). Delphi: a technique to harness expert opinion for critical decision making tasks in education. Educational Psychology, 17(4), 373-386.
• Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco: Jossey-Bass.
• Csikszentmihalyi, M., & Kleiber, D. A. (1991). Leisure and self-actualization. In B. L. Driver, P. J. Brown & G. L. Peterson (Eds.), Benefits of Leisure (pp.91-02). State College, PA: Venture.
• C.Y. Mao, Q. Mei, Z. Ma.(2009).A new method for information system selection, in: Second International Conference on Future Information Technology and Management Engineering, IEEE, http://dx.doi.org/10.1109/FITME.2009.22
• Dickey, M. D. (2005). Engaging by design: how engagement strategies in popular computer and video games can inform instructional design. Educational Technology Research and Development, 53(2), 67–83.
• Dondi, C., & Moretti, M. (2007). A methodological proposal for learning games selection and quality assessment. British Journal of Educational Technology, 38(3), 502–512.
• Eow, Y. L., Ali W. Z. W., Mahmud, R., & Baki, R. (2009). Form one students’ engagement with computer games and its effect on their academic achievement in a Malaysian secondary school. Computers & Education, 53(4), 1082-1091. Doi: 10.1016/j.compedu.2009.05.013.
• Finneran, C. M., & Zhang, P. (2003). A person-artifact-task (PAT) model of Flow antecedents in computer-mediated environments. International Journal of Human-Computer Studies, 59(4), 475-496.
• Fish, L. S., & Busby, D. M. (1996). The Delphi method. In D. H. Prenkl & S. M. Moon (Eds.), Research methods in family therapy (pp. 469–482). NY: Guilford Press.
• Fu, F. L., Su, R. C., & Yu, S. C. (2009). EGameFlow: a scale to measure learners’ enjoyment of elearning games. Computers & Education, 52(1), 101-112.
• Fullér, R., & Majlender, P. (2001). An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets and Systems, 124(1), 53-57.
• García-Cascales, M. S., & Lamata, M. T. (2012). On rank reversal and TOPSIS method. Mathematical and Computer Modelling, 56(5), 123-132.
• Goodman, C. (1987). The Delphi technique: a critique. Journal of Advanced Nursing, 12, 729- 734.
• Hoffman, D. L., & Novak, T. P. (2000). The growing digital divide: implications for an open research agenda. Understanding the Digital Economy. MIT Press, Cambridge, MA.
• Hoffman, D. L., & Novak, T. P. (2009). Flow online: lessons learned and future prospects. Journal of Interactive Marketing, 23(1), 23-34.
• Hogle, J. G. (1996). Considering games as cognitive tools: in search of effective edutainment. Retreived November 15, 2011, from http://twinpinefarm.com/pdfs/games.pdf.
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 50-68.
• Hsieh, L. F., Chin, J. B., & Wu, M. C. (2006). Performance evaluation for university electronic libraries in Taiwan. The Electronic Library, 24(2), 212-224.
• Hsu, C. L., & Lu, H. P. (2003). Why do people play on-line games? An extended TAM with social influences and Flow experience. Information & Management, 41(7), 853-868.
• Huang, M. H. (2003). Designing website attributes to induce experiential encounters. Computers in Human Behavior, 19(4), 425-442.
• Hwang, C. L. & Yoon, K. (1981). Multiple Attribute Decision Making: methods and applications. New York: Springer-Verlag.
• Jee, D.H., & Kang, J.K. (2000). A method for optimal material selection aided with decision making theory. Materials and Design, 21(3), 199-206.
• Johnson, L., Smith, R., Willis, H., Levine, A., & Haywood, K. (2011). The 2011 Horizon Report. Austin, Texas: The New Media Consortium.
• Kebritchi, M., Hirumi, A., & Bai, H. (2010). The effects of modern mathematics computer games on mathematics achievement and class motivation. Computers & Education, 55(2), 427-443.
• Kiili, K., de Freitas, S., Arnab, S., & Lainema, T. (2012). The design principles for Flow experience in educational games. Procedia Computer Science, 15, 78-91.
• Kua-Hsin Peng, Gwo-Hshiung Tzeng (2013), A hybrid dynamic MADM model for problemsimprovement in economics and business, Technological and Economic Development of Economy, 19(4), 638-660
• Li, S. (2005). A Web-enabled hybrid approach to strategic marketing planning: group Delphi + a Web-based expert system. Expert Systems with Applications, 29, 393-400.
• Linstone, H. A., & Turoff, M. (Eds.). (1975). The Delphi method: techniques and applications (pp. 37-71). Boston, MA: Addison-Wesley Publishing Company, Advanced Book Program.
• L. Blanc, M. Jelassi.(1989).DSS software selection: a multiple criteria decision methodology, Inform. Manage, 17,49–65.
• McFarlane, A., Sparrowhawk, A. & Heald, Y. (2002). Report on the educational use of games: an exploration by TEEM of the contribution which games can make to the education process. (On line). Available: http://reservoir.cent.uji.es/canals/octeto/es/440.
• Murry Jr, J. W., & Hammons, J. O. (1995). Delphi: a versatile methodology for conducting qualitative research. Review of Higher Education, 18(4), 423-36.
• M. Morisio, A. Tsoukis. (1997) .IusWare: a methodology for the evaluation and selection of software products, IEEE Proc. Softw. Eng. 144 (3),162–174.
• Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments a structural modeling approach. Marketing Science, 19(1), 22-42.
• Oblinger, D. G. (2004). The next generation of educational engagement. Journal of Interactive Media in Education, 2004(8), 1-18.
• O'Hagan, D. T., Palin, K. J., & Davis, S. S. (1988). Intestinal absorption of proteins and macromolecules and the immunological response. Critical Reviews in Therapeutic Drug Carrier Systems, 4(3), 197.
• Prensky, M. (2001). Digital game-based learning. New York: McGraw-Hill.
• Provenzo, E.F. (1991). Video kids: making sense of Nintendo. Cambridge, MA: Harvard University Press
• Reid, N. (1988). The Delphi technique: its contribution to the evaluation of professional practice. In R. Ellis (Ed.), Professional competence and quality assurance the caring professions (pp. 230–262). New York: Chapman & Hall.
• Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill, New York.
• Salen, K., & Zimmerman, E. (2004). Rules of play (ROP): game design fundamentals. Cambridge: MIT Press.
• Shaffer, D, W. (2006). Epistemic frames for epistemic games. Computers & Education, 46 (3), 223-234.
• Shih, H.S, Syur, H.J, & Lee, E.S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modeling, 45, 801-813.
• Skadberg, Y. X., & Kimmel, J. R. (2004). Visitors’ Flow experience while browsing a web site: its measurement, contributing factors and consequences. Computers in Human Behavior, 20, 403-422.
• Sweetser, P., & Wyeth, P. (2005). GameFlow: a model for evaluating player enjoyment in games. ACM Computer in Entertainment, 3(3), 1-24.
• Tiger, L. (2000). The pursuit of pleasure. Boston: Little, Brown and Company. pp. 52-60.
• Turban, E., & Aronson, J. (2001). Decision support systems and intelligent systems (6th ed.). Upper Saddle River, NJ: Prentice-Hall.
• Webler, T., Levine, D., Rakel, H., & Renn, O. (1991). A novel approach to reducing uncertainty: the group Delphi. Technological Forecasting and Social Change, 39(3), 253-263.
• Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making. Systems, Man and Cybernetics, IEEE Transactions on, 18(1), 183-190.
• Yager, R. R. (2004). On the retranslation process in Zadeh's paradigm of computing with words. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 34(2), 1184-1195.
• Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technology, 28(7-8), 839-844.
• Zanakis, S.H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making:A simulation comparison of select methods. European Journal of Operational Research, 107(3), 507-529.

APA

Su, C., & Hsaio, K.-C. (2015). Developing and Evaluating Gamifying Learning System by Using Flow-Based Model. Eurasia Journal of Mathematics, Science and Technology Education, 11(6), 1283-1306. https://doi.org/10.12973/eurasia.2015.1386a

Vancouver

Su C, Hsaio KC. Developing and Evaluating Gamifying Learning System by Using Flow-Based Model. EURASIA J Math Sci Tech Ed. 2015;11(6):1283-306. https://doi.org/10.12973/eurasia.2015.1386a

AMA

Su C, Hsaio KC. Developing and Evaluating Gamifying Learning System by Using Flow-Based Model. EURASIA J Math Sci Tech Ed. 2015;11(6), 1283-1306. https://doi.org/10.12973/eurasia.2015.1386a

Chicago

Su, Chungho, and Kai-Chong Hsaio. "Developing and Evaluating Gamifying Learning System by Using Flow-Based Model". Eurasia Journal of Mathematics, Science and Technology Education 2015 11 no. 6 (2015): 1283-1306. https://doi.org/10.12973/eurasia.2015.1386a

Harvard

Su, C., and Hsaio, K.-C. (2015). Developing and Evaluating Gamifying Learning System by Using Flow-Based Model. Eurasia Journal of Mathematics, Science and Technology Education, 11(6), pp. 1283-1306. https://doi.org/10.12973/eurasia.2015.1386a

MLA

Su, Chungho et al. "Developing and Evaluating Gamifying Learning System by Using Flow-Based Model". Eurasia Journal of Mathematics, Science and Technology Education, vol. 11, no. 6, 2015, pp. 1283-1306. https://doi.org/10.12973/eurasia.2015.1386a