近年來物聯網成為相當熱門的話題，各國政府與企業致力於發展物聯網的相關應用，其中，物聯網發展下的智慧家庭最為貼近人們生活。智慧家庭的前身為數位家庭，數位家庭概念發展已久，以往受限於網路基礎建設及相關設備尚未成熟，但隨著資通訊技術的發展日益精進，「智慧家庭」一詞逐漸取代了過去的「數位家庭」。
由於物聯網、雲端大數據、智慧手機普及、網際網路等資通訊科技興起，智慧家庭儼然已成為物聯網應用市場上的新寵，促使科技大廠與新創，不斷推出智慧家庭軟硬體新產品與新服務，智慧家庭的應用涵蓋範圍變得更加廣泛，雖然各大廠在市場上不斷地推出相關的智慧家電設備及研發出各種創新應用，但就目前現階段而言，智慧家庭仍未真正進入大眾消費市場，普遍地實現在消費者的家庭上。
因此，本研究透過國內外文獻、產業報告等彙整出影響智慧家庭可行性的五大指標構面，透過初步篩選問卷確認指標構面與要素準則之適切性後，確立「市場」、「互通性」、「隱私與數據安全」與「基本設施」為本研究四大主要指標構面，並據此建立一評估影響智慧家庭可行性之指標準則，再應用分析網路程序法(Analytic Network Process；ANP)，考量各構面與要素間的相依與回饋關係建立回饋架構，藉由專家角度來探討影響智慧家庭可行性之要素，透過專家問卷反映出整體專家之意見，以了解推行智慧家庭新產品與服務時，需要優先考量那些關鍵因素。研究分析結果發現，依據重要性程度來看，專家們認為影響智慧家庭可行性上最關鍵的要素為售價，定價為影響消費者是否願意買單的重點，再來是產品或服務是否具有創新性，能否成功吸引消費者目光，以及是否能夠創造殺手級應用，使得智慧家庭產品或服務在生活上不可或缺亦或是能夠提升生活品質，但專家認為目前尚未出現真正的殺手級應用，並且注重易用性，友善的使用介面讓用戶方便、簡單上手的操作方式。

In recent years, the Smart Home is concerned with the progress of the Internet of Things, cloud, and artificial intelligence technology. The smart appliances and innovative applications have continuously introduced into the market, but the Smart Home remains not common among consumer. Therefore, this study explores the key factors that affect the feasibility of the Smart Home using an analytical network process (ANP) method.
In this study, an ANP hierarchical feedback structure is depend on factors relationship is used to evaluate the relative importance of the market, interoperability, privacy and data security, and basic facilities. Then, through the experts to assess the relative importance of four facets and its factors to decide the priority facets and factors respectively when the promotion of smart home products and services. The study found that the price is the primary factor and the key to decide whether to pay. Then the second is innovation, discussed whether it is sufficient to attract new consumers. The last is the killer application, which is an indispensable application in life or in a particular function that can improve the quality of life.
From the facets point of view, the market and interoperability constitute more than 70% of the overall weighting. To promote and implement the Smart Home, these two facets should be seriously considered. Additionally, the study found that if provide additional incentives for energy conservation, develop a common interface, design new features, and create value-added smart home appliances, it will be able to more smoothly promote the Smart Home.

英文文獻
Alam, M. R., Reaz, M. B. I., & Ali, M. A. M. (2012). A review of smart homes—past, present, and future. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 1190-1203.
Allameh, E., Jozam, M. H., de Vries, B., Timmermans, H., & Beetz, J. (2011). Smart Home as a smart real estate: a state of the art review. Paper presented at the 18th Annual European Real Estate Society Conference, Eindhoven, The Netherlands.
Atkin, B. (1993). Intelligent buildings: applications of IT and building automation to high technology construction projects: Ashgate Publishing Company.
Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805.
Badica, C., Brezovan, M., & Badica, A. (2013). An Overview of Smart Home Environments: Architectures, Technologies and Applications. Paper presented at the BCI (Local).
Balta-Ozkan, N., Boteler, B., & Amerighi, O. (2014). European smart home market development: Public views on technical and economic aspects across the United Kingdom, Germany and Italy. Energy Research & Social Science, 3, 65-77.
Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013a). The development of smart homes market in the UK. Energy, 60, 361-372.
Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013b). Social barriers to the adoption of smart homes. Energy Policy, 63, 363-374.
Chan, M., Estève, D., Escriba, C., & Campo, E. (2008). A review of smart homes—Present state and future challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81.
Christin, D., Mogre, P. S., & Hollick, M. (2010). Survey on wireless sensor network technologies for industrial automation: The security and quality of service perspectives. Future Internet, 2(2), 96-125.
Cook, D. J., & Schmitter-Edgecombe, M. (2009). Assessing the quality of activities in a smart environment. Methods of Information in Medicine, 48(5), 480.
Costanzo, G. T., Zhu, G., Anjos, M. F., & Savard, G. (2012). A system architecture for autonomous demand side load management in smart buildings. IEEE Transactions on Smart Grid, 3(4), 2157-2165.
Cuieford, J. Fundamental Statistics in Psychology and Education, 1965. NY: McGraw-Hill.
Ding, D., Cooper, R. A., Pasquina, P. F., & Fici-Pasquina, L. (2011). Sensor technology for smart homes. Maturitas, 69(2), 131-136.
Duce, H. (2008). Internet of Things in 2020.
Edwards, W. K., & Grinter, R. E. (2001). At home with ubiquitous computing: Seven challenges. Paper presented at the International Conference on Ubiquitous Computing.
Frederiks, E. R., Stenner, K., & Hobman, E. V. (2015). Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour. Renewable and Sustainable Energy Reviews, 41, 1385-1394.
Friedewald, M., Da Costa, O., Punie, Y., Alahuhta, P., & Heinonen, S. (2005). Perspectives of ambient intelligence in the home environment. Telematics and Informatics, 22(3), 221-238.
Gass, S. I., & Harris, C. M. (2001). Encyclopedia of Operations Research and Management Science: Centennial Edition: Springer Science & Business Media.
Graditi, G., Ippolito, M., Lamedica, R., Piccolo, A., Ruvio, A., Santini, E., Zizzo, G. (2015). Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building. Energy and Buildings, 102, 1-17.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660.
Hui, T. K., Sherratt, R. S., & Sánchez, D. D. (2016). Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies. Future Generation Computer Systems.
Lê, Q., Nguyen, H. B., & Barnett, T. (2012). Smart homes for older people: Positive aging in a digital world. Future internet, 4(2), 607-617.
Lin, H., & Bergmann, N. W. (2016). IoT Privacy and Security Challenges for Smart Home Environments. Information, 7(3), 44.
Lobaccaro, G., Carlucci, S., & Löfström, E. (2016). A Review of Systems and Technologies for Smart Homes and Smart Grids. Energies, 9(5), 348.
Lutolf, R. (1992). Smart home concept and the integration of energy meters into a home based system. Paper presented at the Metering Apparatus and Tariffs for Electricity Supply, 1992., Seventh International Conference on.
Meade, L. M., & Rogers, K. (1997). Enhancing a manufacturing business process for agility. Paper presented at the Innovation in Technology Management-The Key to Global Leadership. PICMET'97: Portland International Conference on Management and Technology.
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516.
Notra, S., Siddiqi, M., Gharakheili, H. H., Sivaraman, V., & Boreli, R. (2014). An experimental study of security and privacy risks with emerging household appliances. Paper presented at the Communications and Network Security (CNS), 2014 IEEE Conference on.
Nunnally, J. C., & Bernstein, I. (1978). Psychometric theory. New York: MacGraw-Hill. _ d. Intentar embellecer nuestras ciudades y también las.
Perumal, T., Ramli, A. R., & Leong, C. Y. (2011). Interoperability framework for smart home systems. IEEE Transactions on Consumer Electronics, 57(4), 1607-1611.
Robles, R. J., & Kim, T.-h. (2010). Applications, systems and methods in smart home technology: a review.
Saaty, T. L. (1980). The Analytic Hierarchy Process, New York: McGrew Hill. International, Translated to Russian, Portuguesses and Chinese, Revised edition, Paperback (1996, 2000), Pittsburgh: RWS Publications.
Saaty, T. L. (1996a). The analytic network process. Pittsburgh: RWS Publications.
Saaty, T. L. (1996b). Decision making with dependence and feedback: The analytic network process (Vol. 4922): RWS publications Pittsburgh.
Saaty, T. L. (2005). Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks: RWS publications.
Saaty, T. L., & Takizawa, M. (1986). Dependence and independence: From linear hierarchies to nonlinear networks. European Journal of Operational Research, 26(2), 229-237.
Saaty, T. L., & Vargas, L. G. (2001). The seven pillars of the analytic hierarchy process Models, methods, concepts & applications of the analytic hierarchy process (pp. 27-46): Springer.
Satpathy, L. (2006). Smart Housing: Technology to Aid Aging in Place: New Opportunities and Challenges: Mississippi State University.
Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., & Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert Systems with Applications, 39(1), 14-24. doi: 10.1016/j.eswa.2011.06.047
Silvestri, A., De Felice, F., & Petrillo, A. (2012). Multi-criteria risk analysis to improve safety in manufacturing systems. International Journal of Production Research, 50(17), 4806-4821.
Sivaraman, V., Gharakheili, H. H., Vishwanath, A., Boreli, R., & Mehani, O. (2015). Network-level security and privacy control for smart-home IoT devices. Paper presented at the Wireless and Mobile Computing, Networking and Communications (WiMob), 2015 IEEE 11th International Conference on.
Solaimani, S., Keijzer-Broers, W., & Bouwman, H. (2013). What we do–and don’t–know about the Smart Home: an analysis of the Smart Home literature. Indoor and Built Environment, 1420326-13516350.
Stojkoska, B. L. R., & Trivodaliev, K. V. (2017). A review of Internet of Things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454-1464.
Stringer, M., Fitzpatrick, G., & Harris, E. (2006). Lessons for the future: Experiences with the installation and use of today’s domestic sensors and technologies. Paper presented at the International Conference on Pervasive Computing.
Thomas L. Saaty, M. T. (1986). Dependence and independence From linear hierarchies to nonlinear networks. European Journal of Operational Research, 26 (2), 229-237.
Vasseur, J.-P., & Dunkels, A. (2010). Interconnecting smart objects with ip: The next internet: Morgan Kaufmann.
Yan, L., Zhang, Y., Yang, L. T., & Ning, H. (2008). The Internet of things: from RFID to the next-generation pervasive networked systems: CRC Press.

中文文獻
張紹勳. (2012). 模糊多準則評估法及統計: 台灣五南圖書出版股份有限公司.
張魁峯. (2008). Super decisions 軟體操作手冊: 以 ANP 突破 AHP 的研究限制: 鼎茂圖書.
鄧振源. (2005). 計畫評估: 方法與應用: 國立臺灣海洋大學運籌規劃與管理研究中心出版.
鄒飛逯. (2011). 物聯網讓萬物互連暢通. IBM藍色觀點. 第14-17頁。
鍾曉君.(2015).智慧家庭市場現況與關鍵趨勢分析. MIC產業研究報告。
高佑嘉. (2010). 下一波資訊發展浪潮：物聯網時代即將降臨. UDN資策會。
鄧振源、曾國雄. (1989).「層級分析法（AHP）的內涵特性與應用（上）」. 中國統計學報，第27卷，第6期，第5-22頁。
鄧振源、曾國雄. (1989). 「層級分析法（AHP）的內涵特性與應用（下）」. 中國統 計學報，第27卷，第7期，第1-20頁。
資策會MIC(2015).智慧家庭發展趨勢與應用案例分析。
拓埔產業研究所(2016). 物聯網、雲端帶動大數據革命。

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