A Study on the Correlations among Product Design, Statistics Education, and Purchase Intention – A Case of Toy Industry
More details
Hide details
Department of Digital Technology Design, Tung-Fang Design University, TAIWAN
Graduate Institute of Cultural and Creative Design, Tung-Fang Design University, TAIWAN
Online publish date: 2018-01-05
Publish date: 2018-01-05
EURASIA J. Math., Sci Tech. Ed 2018;14(4):1189–1195
Being affected by the rapid change in internal and external environments in past years, the fiercer competition has resulted in the declination of toy industry. For the sustained-yield management, toy manufacturers have been searching for strategies. In the consumer-oriented era, an enterprise has to precede statistics education of toy designers so that the market survey could accurately analyze consumer needs to establish differential products for creating product value and meeting consumer needs. The supervisors, employees, and customers of Traxxas are the major research subjects for the questionnaire survey in this study. Total 300 copies of questionnaire are distributed and 236 valid copies are retrieved, with the retrieval rate 79%. The research results reveal significantly positive correlations between 1.product design and purchase intention, 2.statistics education and product design, and 3.statistics education and purchase intention. According to the results, suggestions are proposed, expecting to assist domestic toy manufacturers in the future development of product design for the sustained-yield management.
1. Altin, A., Tecer, S., Tecer, L., Altin, S., & Kahraman, B. F. (2014). Environmental Awareness Level of Secondary School Students: A Case Study in Balıkesir (Turkey). Procedia - Social and Behavioral Sciences, 141, 1208-1214. doi:10.1016/j.sbspro.2014.05.207.
2. Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363–374. doi:10.1016/j.enpol.2013.08.043.
3. Chien, C. W., Lin, C. L., & Lin, R. T. (2015). The study of rational and emotional cognition of chairs. Bulletin of Japanese Society for the Science of Design, 62(3), 3_57- 3_66.
4. Chowdhury, A., Karmakar, S., Reddy, S. M., Ghosh, S., & Chakrabarti, D. (2014). Usability is more valuable predictor than product personality for product choice in human-product physical interaction. International Journal of Industrial Ergonomics, 44(5), 697-705. doi:10.1016/j.ergon.2014.07.008.
5. Fuchs, C., Schreier, M., & van Osselaer, S. M. J. (2015). The Handmade Effect: What’s Love Got to Do with It? Journal of Marketing, 79(2), 98–110. doi:10.1509/jm.14.0018.
6. Ghamisi, P., & Benediktsson, J. A. (2015). Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization. IEEE Geoscience and Remote Sensing Letters, 12(2), 66-82. doi:10.1109/LGRS.2014.2337320.
7. Go, T. F., Wahab, D. A., & Hishamuddin, H. (2015). Multiple generation life-cycles for product sustainability: the way forward. Journal of Cleaner Production, 95, 16-29. doi:10.1016/j.jclepro.2015.02.065.
8. Guo, J., Tan, R., Sun, J., Ren, J., Wu, S., & Qiu, Y. (2016). A needs analysis approach to product innovation driven by design. Procedia CIRP, 39-44. doi:10.1016/j.procir.2016.01.163.
9. Halder, P., Pietarinen, J., Havu-Nuutinen, S., Pöllänen, S., & Pelkonen, P. (2016). The Theory of Planned Behavior model and students’’ intentions to use bioenergy: A cross-cultural perspective. Renewable Energy, 89, 627-635. doi:10.1016/j.renene.2015.12.023.
10. Homburg, C., Schwemmle, M., & Kuehnl, C. (2015). New Product Design: Concept, Measurement, and Consequences. Journal of Marketing, 79(3), 41–56. doi:10.1509/jm.14.0199.
11. Kuo, C. W., & Li, F. Y. (2014). New Thoughts on Cultural Creative Product Design: A Case Study on the Transformation of Architectural Elements of a Taiwanese Temple. IJDMD (International Journal of Digital Media Design), 6(2), 1-17.
12. Kuo, C. W., & Li, F. Y. (2017). Identifying Taiwanese Design Styles by Examining the Curating Process Employed by the Go with the East Wind Design Association. International Journal of Arts, 7(1), 6-16.
13. Lee, A. S. (2014). The Investigation into the Influence of The Features of Furniture Product Design on Consumer’s Perceived Value by Fuzzy Semantics. South African Journal of Business Management, 45(1), 79-93.
14. Lee, L.-S., Lee, Y.-F., Altschuld, J. W., Pan, Y.-J. (2015). Energy literacy: Evaluating knowledge, affect, and behavior of students in Taiwan. Energy Policy, 76, 98-106. doi:10.1016/j.enpol.2014.11.012.
15. Mysen, A. G. (2015). Smart products: An introduction for design students. Norwegian University of Science and Technology, Department of Product Design. Retrieved from
16. Napoli, J., Dickson, S. J., Beverland, M. B., & Farrelly, F. (2014). Measuring Consumer: Based Brand Authenticity. Journal of Business Research, 67, 1090-1098. doi:10.1016/j.jbusres.2013.06.001.
17. Niclas P. R. (2015). An approach to product development with scenario planning: The case of aircraft design. Futures, 71, 11-28. doi:10.1016/j.futures.2015.06.001.
18. Parameshwaran, R., Baskar, C., & Karthik, T. (2015). An integrated framework for mechatronics based product development in a fuzzy environment. Applied Soft Computing, 27, 376-390. doi:10.1016/j.asoc.2014.11.013.
19. Philip, W. (2013). Great Design-the world’s best design explored & explained. London: DK Adult.
20. Rashedi, E., Mirzaei, A., & Rahmati, M. (2015). An information theoretic approach to hierarchical clustering combination. Neurocomputing, 148(19), 487-497. doi:10.1016/j.neucom.2014.07.014.
21. Soesanti, I., & Syahputra, R. (2016). Batik production process optimiza using particle swarm optimization method. Journal of Theoretical and Applied Information Technology, 86(2).
22. Tylor, E. B. (2016). Primitive Culture: Researches into the Development of Mythology, Philosophy, Religion, Language, Art and Custom. Mineola, NY: Dover Publications.
23. Vincent, C. J., & Blandford, A. (2015). Usability standards meet scenario-based design: Challenges and opportunities. Journal of Biomedical Informatics, 53, 243-250. doi:10.1016/j.jbi.2014.11.008.
24. Wang, C. H. (2015). Integrating Kansei engineering with conjoint analysis to fulfil market segmentation and product customisation for digital cameras. International Journal of Production Research, 53(8), 2427-2438. doi:10.1080/00207543.2014.974840.
25. Yen, H. Y., Lin, P. H., & Lin, R. (2014). Emotional Product Design and Perceived Brand Emotion. International Journal of Advances in Psychology (IJAP), 3(2), 59-66. doi:10.14355/ijap.2014.0302.05.
26. Yim, E. S., Lee, S., & Kim, W. G. (2014). Determinants of a restaurant average meal price: An application of the hedonic pricing model. International Journal of Hospitality Management, 39, 11-20. doi:10.1016/j.ijhm.2014.01.010.
27. Zhang, Q., Wu, D., Fu C., Baron C., & Peng, Z. (2017). A New Method for Measuring Process Flexibility of Product Design. International Transactions in Operational Research, 24(4), 821-838. doi:10.1111/itor.12299.
28. Zhou, J., Guo, G., Liu, F., Dong, Y., Li, H., Lin, L., & Yang, F. (2014). A multi-dimensional method for evaluating a product’s conceptual schemes. South African Journal of Industrial Engineering, 25(3), 184-198. doi:10.7166/25-3-773.