( 99 ) Journal of architecture and planning (2010) VOL.11 NO.3 pp ( ) - T 65 1 (NSC E )

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1 ( 99 ) Journal of architecture and planning (2010) VOL.11 NO.3pp ( )- T 65 1 (NSC E ) mayc2110@mail.ksu.edu.tw

2 On the extent of importance and demand of the Smart Kitchen Shu-Mei Chen Kunshan University, Department of Real Estate Management, Professor. Tzai-Zang Lee Kunshan University, Department of Business Administration, Professor. Peng-Hui Lee Kunshan University, Graduate Institute of Business Administration. Yu, Ju-Ling Kunshan University, Department of Real Estate Management, Associate Professor. Chun-Lin Lu Kunshan University, Department of Computer and Communication, Professor. ABSTRACT Faced with the challenges of globalization, enhancing the quality of life with high-tech has become an important issue in the policy of technologically advanced countries. Therefore, the Executive Yuan of Taiwan in 2008 initiated the "Smart Taiwan" and "Quality Life" focusing issues, to promote the use of new technologies, including smart living spaces, in response to the challenges of the future needs and to improve people's satisfaction in their lives. Under the targets of safety, energy-saving, health, convenience and comfort, the engineers in our team develop several smart kitchen functions. This study aims to analyze what the users want in a smart kitchen, so that a design centered on the Smart Kitchen can be realized in a quality smart living space. Therefore, this study employed purposive sampling method to conduct the survey. The selected samples were the main users of home kitchen and their houses had to be equipped with the related equipments (such as computer and Internet) in five metropolitan regions and two sub-metropolitan regions. The research analyzes the users attitude toward the Smart Kitchen s importance and degree of demands. We utilized importance-and-degree of demands analysis to evaluate the demands of the Smart Kitchen s equipments to be the priority for the designer to design the Smart Kitchen. Further, to provide base for market segmentation, we conducted independent sample t-test to explore the variance of different sample users attitude toward the Smart Kitchen. The results indicated that the main users of the kitchen preferred some functions of smart kitchen, safety and energy-saving were two of the most urgent functions of the Smart Kitchen demanded by the users. Kitchen s functions need to get advanced from basic needs to enjoyed needs. The users of high technology acceptance tend to have higher demand toward the five dimensions of kitchen: safety, health, energy-saving, convenience and comfort. Those users who use Internet 244

3 more than 4 hours a day tend to have higher demand on dimensions. Users have family members aged above 65 tend to have higher demand on dimension of health and convenience. Therefore, the above stated difference may be a critical reference for marketers when making segmentation strategies for special market. Keywords: smart kitchen, importance, demand () ,142(2008) e-taiwan / M-Taiwan (Ubiquitous) 2004U-Japan 2008xICT2004U-Korea IT839 ( FIND2004; 2006; 2008) 97 U 8 7 (

4 9 () %57.8% (2005) () ()(Turkle & Papert,1990) (2005) 3C U NSC E Liu & Lu(2010), Tsai et al.(2010), Guo et al.(2010), Guo et al.(2009), Cheng et al.(2010), Juang et al.(2010), Hsu et al.(2010). 10 ( 68CF07A BD2B68F8DA) 246

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6 (2006) (household) (2009) () 1. (Kaufman,1972) (Actual Status)(Targeted Status) (Want)(Preference) (Deficit) (Husen & Postlethwaife,1985)Scriven & Roth(1978) 2.Maslow (2003) Freud (psychoanalytic theory) (personality-trait theory)(humanistic psychology) (2003)Maslow(1954; 1970) (2003) (2002) 248

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8 Maslow(1954) Maslow Maslow( ) MaslowMaslow Maslow (Huitt, )Maslow(1954) Sanders (1993)(Usefulness) (Usability)(Desirability)Keinonen(1997) (1998) 3. (2003) (Turner,1986) (User-Centered Design, UCD) UCD (2006)(ISO)13407(1999) UCD 250

9 1 (ISO13407,1999) ISO13407(1999) ()-(IPA) Martilla and James(1977)IPAIPA Havitz et al. (1991) (Chapman, 1993 Kozak & Nield, 1998 Chu & Choi, 2000)IPAOh (2001)IPA IPA IPA Matzler et al. (2004)IPA IPAIPATonge & Moore (2007)IPA - (2007)3C (2007)IPA Ainin & Hisham(2008) 251

10 (1)() (2)() (3)() (4) () () IPA () Rogers(1983) (Innovation Diffusion Theory, IDT)Bandura(1986) (Social Cognitive Theory, SCT)Thompson et al.(1991) Davis et al. (1992) Venkatesh et al.(2003) (Agarwal & Karahanna, 2000; Lederer, Maupin, Sena, & Zhuang,2000; Venkatesh & Davis, 2000; Moon & Kim, 2001; Chau & Hu, 2002; Chen, Gillenson, & Sherrell, 2002; Koufaris, 2002; Gefen, Karahanna, & Straub,2003; Riemenschneider, Harrison, & Mykytyn, 2003) Allan(2006) 11 () (Matzler et al., 2004) 252

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16 4 () () () , ,001~48, ,001~67, ,001~90, ,001150, ,

17 4 () () () 5 13(3~7 ) Oh(2001) () 259

22 () 1. (1) (Cronbach s Alpha ) Item-to-Total(>0.5Cronbach s Alpha>0.7) (2) (Varimax) (Eigenvalue)>11 (3) (1)(2) 2. (11)(7)(6) (6)(6)432MSA () 70.03%Cronbach s Alpha (11)(7)(6) (6)(6)432MSA ()

23 67.76%Cronbach s Alpha Cronbach s Alpha

24 6 Cronbach s Alpha Cronbach s Alpha

25 7... Cronbach s Alpha ` 0.90 (4.12) (3.38)(3.34)(3.31)(3.02) 267

26 () T( 665) (Ubiquitous) 8 T (n=1001) T T T T T *** 9.05*** 9.64*** 11.59*** 12.05***

27 8 T (n=1001) T T T T T * 1.92* 2.01* *** -4.48*** -5.12*** -5.68*** *** * * ***<0.01**<0.05*<0.1 (1) T (2) 65 (3)

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30 (dwelling) (home) (2) C SARS (4) (4) PDA 272

31 (2) FIND 2006 u-korea 200 FIND 2008 xict (u-japan II) (111) GameBike Ainin, S. & Hisham, N. H.., 2008, Applying Importance-Performance Analysis to Information Systems: An Exploratory Case Study, Journal of Information, Information Technology, and Organizations, 3: Allan K., 2006, Analysis: Home help, Computing & Control Engineering, 17(6): Bandura, A, 1986, Social Foundations of Thought and Action: A Social Cognitive Theory, Englewood. Cliffs, NJ.: Prentice-Hall. Bagozzi, Richard P. Davis, Fred D. Warshaw, Paul R., 1992, Development and Test of a Theory of Technological Learning and Usage. Human Relations, (45)7: Chapman, R. G., 1993, Brand performance comparatives. The Journal of Product and Brand Management, 2(1): Chau, P. Y. K., & Hu, P. J. H., 2002, Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study. Journal of Management Information Systems, 18(4): Chen, L. D., Gillenson, M. L., & Sherrell, D. L, 2002, Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information and Management, 39(8): Chu, R. K. S. & Choi, T., 2000, An importance performance analysis of hotel selection factors in the Hong Kong hotel industry: a comparison of business and leisure travelers. Tourism Management, 121(4): Gefen, D., Karahanna, E., & Straub, D. 2003, Trust and Tam in Online Shopping: An Integrated Model. 273

32 MIS Quality, 27(1): Havitz, M. E. & Twynam, G. D. & Delorenzo, J. M.., 1991, Important- Performance Analysis-as a Staff Evaluation Tool, Journal of Park Recreation Administration, 9(1): Huitt, W., 2007, Maslow's hierarchy of needs, Educational Psychology Interactive, Valdosta, GA: Valdosta State University. Husen, T. & Postlethwaife, T. N., 1985, The International encyclopedia of education., 6, New York : Pergamon Press. Koufaris, M., 2002, Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behaviour. Information System Research, 13(2): Kozak, M. & Nield, K., 1998, Importance-performance analysis and cultural perspectives in Romanian Black Sea resorts. Anatolia International Journal of Tourism and Hospitality Research, 9(2): Keinonen, 1997, Turkka Expected usability and product preference Symposium on Designing Interactive Systems. Proceedings of the 2nd conference on Designing interactive systems: processes, practices, methods, and techniques, Amsterdam: Holland, Kaufman, G. G , Federal Reserve Inability To Control the Money Supply: A Self-Fulfilling Prophecy. Financial Analysts Journal, (28)5: Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y., 2000, The Technology Acceptance Model and the World Wide Web. Decision Support Systems, 29(3): Martilla, J. A. & James, J. C., 1977, Importance-performance analysis. Journal of Marketing, 41(1): Matzler, K., Bailom, F., Hinterhuber, H.H., Renzl, B., Pichler, J., 2004, The asymmetric relationship between attribute-level performance and overall customer satisfaction: a reconsideration of the importance performance analysis. Industrial Marketing Management, 33(4): Maslow, A., 1954, Motivation and personality. New York: Harper & Row. Maslow, A., 1970, Motivation and personality. Rev. ed., New York: Harper & Row. Moon, J. W., & Kim, Y. G., 2001, Extending the TAM for a World-Wide-Web Context. Information and Management, 38(4): Oh, H., 2001, Revisiting importance performance analysis. Tourism Management, 22(6): Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. Jr.., 2003, Understanding IT Adoption Decisions in Small Business: Integrating Current Theories. Information and Management, 40(4): Rogers, E. M., 1983, Diffusion of Innovations (3rd). New York: Free Press. Sanders, E.B.-N., 1993, Product Development Research for the 1990 s. Human Factors and Ergonomics Society Annual Meeting Proceedings, Consumer Products,

33 Scriven, M., & Roth, J., 1978, Needs assessment: Concept and practice. New Directions for Program Evaluation, 1(1): Thompson, R. L., Higgins, C. A., & Howell, J. M., 1991, Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1): Tonge, J. & S. A. Moore., 2007, Importance-satisfaction analysis for marine-park hinterlands: A Western Australian case study. Tourism Management, (28): Turner, J. H., 1986, The Structure of Sociological Theory Chicago: The Dorsey Press. Venkatesh, V.,& Davis, F. D., 2000, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2): Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D., 2003, User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3): ISO13407/ISO (2007). 275

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Microsoft Word - 成果報告_封面_1

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