網路成為現今不可或缺的技術，全球對物聯網發展持續攀升，物聯網將任何實體物品互相溝通、連接，在個人的使用上為智慧手環或智慧手錶，拓展到家庭中則為智慧家庭，利用其控制中心來控制其他相關設備，Google的智慧家庭控制中心Google Home讓使用者透過聲控來控制智慧家庭設備，例如：智慧燈泡、智慧音箱等設備。推出控制中心的企業相互競爭，包括Amazon、Google、小米、Samsung，相關設備與這些公司合作，使物聯網產品不斷推出，智慧家庭達到了消費者舒適便利的生活，並開始蓬勃發展。然而智慧家庭在許多國家的使用率高，但是消費者卻非常擔心隱私疑慮，本研究從消費者想購買智慧家庭語音助理的風險與效益為出發點，探討是否會影響消費者智慧家庭語音助理的採用意願，並發現隱私為主要風險，效益則為消費者感受到的好處，並延伸會影響隱私疑慮和效益的因素。此外，人們雖然擔心隱私問題卻對於管理隱私到厭煩，但最終還是會使用這些侵犯隱私的產品，我們認為這種對現今環境是一大議題，對於管理隱私會在隱私疑慮及採用意願中會有相關的影響力。
本研究針對臺灣未使用過智慧家庭語音助理的消費者進行問卷調查，共回收了300份有效問卷，並使用Smart PLS 3作為問卷分析工具。研究發現，隱私疑慮和感知效益對消費者採用意願都有相關性，有完善的隱私政策卻能讓消費者的隱私疑慮降低，但隱私控制和信任對隱私疑慮卻無相關，消費者對公司良好的信任和自身其創新技術的程度都會提升對產品或服務的感知效益。此外，隱私疲勞對消費者的隱私疑慮和使用意願有顯著的調節作用。

The internet is an inevitably necessary technology nowadays, in particular, the worldwide development of internet of things (IoT) continues to grow strongly. The IoT technology connects and communicates almost every object. The application of the IoT technology for individual includes smart wrist bands and smart watches, to name a few, and smart home, a controlling hub connecting other home devices and equipment, for family. The smart home hub developed by Google, namely Google Home, allows users to control their smart home devices, for example, smart light bulbs, smart audio speakers…etc, through voice control. The business competitors of Google on the smart home hubs include Amazon, Xiao Mi, Samsung…etc. The developers of the smart home devices collaborate with these smart home hub companies to launch new IoT products. These products are now able to bring marvelous convenience and pleasance to the consumers and therefore bloom quite rapidly. Despite is widely adopted in many countries already, the smart home system also causes privacy concern to the consumers. This thesis is to investigate the impact of the privacy risk and the perceived benefit caused by the smart home voice assistant to the potential consumers’ intention of adoption. This study concludes that the privacy concern is the major risk to the potential consumers, whereas the perceived benefit is what they expect and gain. This study further explored the factors influencing the privacy concern and the perceived benefit. Furthermore, despite people worry about their privacy, they are so tired of managing their privacy and will still adopt these products that could infringe their privacy. We think that this is going to be a major issue in our community and will influence the privacy control particularly on the privacy concern and their intention of adoption.
This research was performed by collecting the questionnaire from the potential consumers who have never used any smart home voice assistant in Taiwan. A total of 300 effective questionnaires were received and analyzed by the Smart PLS 3 analytic tool. Our research showed that the privacy concern and the perceived benefit are both correlated with the potential consumers’ intention of adoption. The consummate privacy policy will reduce the consumers’ privacy concern. However, the privacy control and the consumer trust are irrelevant with the privacy concern. The consumer trust, as well as their adoption of innovative technology, will increase the perceived benefit of the products and services. Besides, the privacy fatigue significantly moderates the privacy concern of potential consumers and their intention of adoption.

Abelson, H., & Krishnan, S. (2009). Location is Everything Balancing Innovation , Convenience , and Privacy in Location-based Technologies Submitted.
Acquisti, A., Friedman, A., & Telang, R. (2006). Is There a Cost to Privacy Breaches? An Event Study. Paper presented at the WEIS.
Adami, A. M., Hayes, T. L., & Pavel, M. (2003, 17-21 Sept. 2003). Unobtrusive monitoring of sleep patterns. Paper presented at the Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
Afthanorhan, A. (2013). Modelling The Multimediator On Motivation Among Youth In Higher Education Institution Towards Volunteerism Program (Vol. 3): Journal of Mathematical Theory and Modeling.
Agarwal, R., Ahuja, M., E Carter, P., & Gans, M. (1998). Early and late adopters of IT innovations: Extensions to innovation diffusion theory.
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204-215. doi:10.1287/isre.9.2.204
Ajzen, I. (1977). Information Processing Approaches To Interpersonal Attraction.
Alaiad, A., & Zhou, L. (2015). Patients' behavioral intentions toward using wsn based smart home healthcare systems: An empirical investigation. Paper presented at the 2015 48th Hawaii International Conference on System Sciences.
Alam, M., Reaz, M. B., & Ah, M. A. J. J. o. A. S. (2011). Statistical modeling of the resident's activity interval in smart homes. 11(16), 3058-3061.
Anderson, J. G., Balas, E. A. J. I. J. o. H. I. S., & Informatics. (2006). Computerization of primary care in the United States. 1(3), 1-23.
Andoh, H., Watanabe, K., Nakamura, T., & Takasu, I. (2004, 4-6 Aug. 2004). Network health monitoring system in the sleep. Paper presented at the SICE 2004 Annual Conference.
Andrade, E., Kaltcheva, V., & Weitz, B. (2002). Self-Disclosure on the Web: The Impact of Privacy Policy, Reward, and Company Reputation (Vol. 29).
Ann Eastlick, M., & Lotz, S. (1999). Profiling Potential Adopters and Non-adopters of an Interactive Electronic Shopping Medium (Vol. 27).
Arabo, A., Brown, I., & El-Moussa, F. (2012, 3-5 Sept. 2012). Privacy in the Age of Mobility and Smart Devices in Smart Homes. Paper presented at the 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
Ashton, K. J. R. j. (2009). That ‘internet of things’ thing. 22(7), 97-114.
Ax, S., Gregg, V. H., & Jones, D. (2001). Coping and illness cognitions: Chronic fatigue syndrome. Clinical Psychology Review, 21(2), 161-182. doi:https://doi.org/10.1016/S0272-7358(99)00031-8
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
Bao, H., Chong, A. Y.-L., Ooi, K.-B., & Lin, B. (2014). Are Chinese consumers ready to adopt mobile smart home? An empirical analysis Int. J. Mob. Commun, 12(5), 496-511. doi:10.1504/ijmc.2014.064595
Barnes, N. M., Edwards, N. H., Rose, D. A. D., & Garner, P. (1998). Lifestyle monitoring - Technology for supported independence. Computing and Control Engineering Journal, 9(4), 169-174. doi:10.1049/cce:19980404
Barney, J. B., & Hansen, M. H. (1994). Trustworthiness as a Source of Competitive Advantage. Strategic Management Journal, 15, 175-190.
Bauer, R. A. J. C., IL. (1960). Consumer behavior as risk taking. 384-398.
Bilkey, W. J. (1953). A Psychological Approach to Consumer Behavior Analysis. Journal of Marketing, 18(1), 18-25. doi:10.2307/1246865
Bimber, O., Emmerling, A., & Klemmer, T. (2005). Embedded entertainment with smart projectors. Computer, 38(1), 48-55. doi:10.1109/MC.2005.17
Brandt, Å., Samuelsson, K., Töytäri, O., & Salminen, A.-L. (2011). Activity and participation, quality of life and user satisfaction outcomes of environmental control systems and smart home technology: a systematic review. Disability and Rehabilitation: Assistive Technology, 6(3), 189-206. doi:10.3109/17483107.2010.532286
Brumitt, B., Meyers, B., Krumm, J., Kern, A., & Shafer, S. (2000, 2000//). EasyLiving: Technologies for Intelligent Environments. Paper presented at the Handheld and Ubiquitous Computing, Berlin, Heidelberg.
Buckle, C. (2018). Will Smart Speakers Spark Voice Tech Adoption? Retrieved from file:///C:/Users/Erica%20Lai/Desktop/%E8%AB%96%E6%96%87/Will%20Smart%20Speakers%20Spark%20Voice%20Tech%20Adoption_%20-%20GlobalWebIndex%20Blog.html
Burke, R. J., Greenglass, E. R., & Schwarzer, R. (1996). Predicting teacher burnout over time: Effects of work stress, social support, and self-doubts on burnout and its consequences. Anxiety, Stress, & Coping, 9(3), 261-275. doi:10.1080/10615809608249406
Carmines, E. G., & Zeller, R. A. . (1979). Reliability and Validity Assessment. In. Retrieved from https://methods.sagepub.com/book/reliability-and-validity-assessment doi:10.4135/9781412985642
Cas, J. (2005). Privacy in pervasive computing environments - a contradiction in terms? IEEE Technology and Society Magazine, 24(1), 24-33. doi:10.1109/MTAS.2005.1407744
Celler, B. G., Earnshaw, W., Ilsar, E. D., Betbeder-Matibet, L., Harris, M. F., Clark, R., . . . Lovell, N. H. (1995). Remote monitoring of health status of the elderly at home. A multidisciplinary project on aging at the University of New South Wales. International Journal of Bio-Medical Computing, 40(2), 147-155. doi:https://doi.org/10.1016/0020-7101(95)01139-6
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. doi:https://doi.org/10.1016/j.cmpb.2008.02.001
Chaudhuri, A., & Holbrook, M. B. (2001). The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty. Journal of Marketing, 65(2), 81-93. doi:10.1509/jmkg.65.2.81.18255
Chen, K. C., & Rea, A. I. (2004). Protecting personal information online: A survey of user privacy concerns and control techniques. Journal of Computer Information Systems, 44(4), 85-92.
Chin, W. W. (1998). Commentary: Issues and Opinion on Structural Equation Modeling. Mis Quarterly, 22(1), vii-xvi.
Choi, H., Park, J., & Jung, Y. (2018). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior, 81, 42-51. doi:10.1016/j.chb.2017.12.001
Chu Chong, T., & Chong Eng, T. (2010, 15-18 June 2010). A neural network approach towards reinforcing smart home security. Paper presented at the 8th Asia-Pacific Symposium on Information and Telecommunication Technologies.
Chung, J., Demiris, G., & Thompson, H. J. (2016). Ethical Considerations Regarding the Use of Smart Home Technologies for Older Adults: An Integrative Review. Annu Rev Nurs Res(1), 155-181. doi:10.1891/0739-6686.34.155
COMMUNITIES, C. O. T. E. (2009). Internet of Things — An action plan for Europe. Retrieved from http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2009:0278:FIN:EN:PDF
Courtney, K., Demiris, G., Rantz, M., & Skubic, M. (2008). Needing smart home technologies: the perspectives of older adults in continuing care retirement communities. Journal of Innovation in Health Informatics, p. 195-201. doi:10.14236/jhi.v16i3.694
Courtney, K. L. (2008). Privacy and senior willingness to adopt smart home information technology in residential care facilities. Methods of Information in Medicine, 47(01), 76-81.
Cox, D. F., & Administration, H. U. G. S. o. B. (1967). Risk taking and information handling in consumer behavior: Division of Research, Graduate School of Business Administration, Harvard University.
Cranor, L. F., Reagle, J., & Ackerman, M. S. (1999). Beyond Concern: Understanding Net Users' Attitudes About Online Privacy. CoRR, cs.CY/9904010.
Cravens, D. W., Holland, C. W., Lamb, C. W., & Moncrief, W. C. (1988). Marketing's role in product and service quality. Industrial Marketing Management, 17(4), 285-304. doi:https://doi.org/10.1016/0019-8501(88)90032-6
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. doi:10.1007/bf02310555
Cuijpers, C., & Koops, B.-J. (2013). Smart Metering and Privacy in Europe: Lessons from the Dutch Case. In S. Gutwirth, R. Leenes, P. de Hert, & Y. Poullet (Eds.), European Data Protection: Coming of Age (pp. 269-293). Dordrecht: Springer Netherlands.
Culnan, M. J. (2000). Protecting Privacy Online: Is Self-Regulation Working? Journal of Public Policy & Marketing, 19(1), 20-26.
Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization Science, 10(1), 104-115. doi:10.1287/orsc.10.1.104
Culnan, M. J., & Bies, R. J. (2003). Consumer Privacy: Balancing Economic and Justice Considerations. 59(2), 323-342. doi:doi:10.1111/1540-4560.00067
Cunningham, S. M. (1967). The Major Dimensions of Perceived Risk. In: Cox, D.F., Ed., Risk Taking and Information Handling in Consumer Behavior, Harvard University Press, Boston, MA.
Darby, S. J., & McKenna, E. (2012). Social implications of residential demand response in cool temperate climates. Energy Policy, 49, 759-769. doi:https://doi.org/10.1016/j.enpol.2012.07.026
Dasgupta, P. (1988). Trust as a Commodity, 49-72. In D. Gambetta (Ed.), Trust: Making and Breaking Cooperative Relations: Blackwell.
Davey, S. M., Brennan, M., Meenan, B. J., & McAdam, R. (2010). The Health of Innovation: Why Open Business Models Can Benefit the Healthcare Sector. Irish Journal of Management, 30(1), 21-40.
Davis, F. D. J. M. q. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. 319-340.
Demiris, G., Hensel, B. K., Skubic, M., & Rantz, M. (2008). Senior residents’ perceived need of and preferences for “smart home” sensor technologies. International Journal of Technology Assessment in Health Care, 24(1), 120-124. doi:10.1017/S0266462307080154
Demiris, G., Skubic, M., & Keller, J. (2006). Nurse participation in the design of user interfaces for a smart home system. Proceedings of the International Conference on Smart Homes and Health Telematics, 66-73.
Derlega, V. J., & Chaikin, A. L. (1977). Privacy and self-disclosure in social relationships. Journal of Social Issues, 33(3), 102-115. doi:10.1111/j.1540-4560.1977.tb01885.x
Dinev, T., & Hart, P. (2003). PRIVACY CONCERNS AND INTERNET USE--A MODEL OF TRADE-OFF FACTORS. 2003(1), D1-D6. doi:10.5465/ambpp.2003.13792464
Dinev, T., & Hart, P. (2004). Internet privacy concerns and their antecedents - measurement validity and a regression model. Behaviour & Information Technology, 23(6), 413-422. doi:10.1080/01449290410001715723
Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions Information Systems Research
17(1), 61-80. doi:10.1287/isre.1060.0080
Dodds, W. B., & Monroe, K. B. (1985). THE EFFECT OF BRAND AND PRICE INFORMATION ON SUBJECTIVE PRODUCT EVALUATIONS. Advances in Consumer Research, 12(1), 85-90.
Dowling, G. R., & Staelin, R. (1994). A Model of Perceived Risk and Intended Risk-handling Activity. Journal of Consumer Research, 21(1), 119-134. doi:10.1086/209386 %J Journal of Consumer Research
Earle, T. C., & Cvetkovich, G. (1995). Social trust: Toward a cosmopolitan society: Greenwood Publishing Group.
Earp, J. B., & Baumer, D. J. C. o. t. A. (2003). Innovative web use to learn about consumer behavior and online privacy. 46(4), 81-83.
Ehrenhard, M., Kijl, B., & Nieuwenhuis, L. (2014). Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population. Technological Forecasting and Social Change, 89, 306-315. doi:https://doi.org/10.1016/j.techfore.2014.08.002
Elmasllari, E., & Al-Akkad, A. (2017, 16-18 May 2017). Smart energy systems in private households: Behaviors, needs, expectations, and concerns. Paper presented at the 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).
Fan, X., Xie, Q., Li, X., Huang, H., Wang, J., Chen, S., . . . Chen, J. (2017, 25-30 June 2017). Activity Recognition as a Service for Smart Home: Ambient Assisted Living Application via Sensing Home. Paper presented at the 2017 IEEE International Conference on AI & Mobile Services (AIMS).
Fischer, G. (2001). User Modeling in Human–Computer Interaction. User Modeling and User-Adapted Interaction, 11(1), 65-86. doi:10.1023/A:1011145532042
Fishbein, M. (1976). A Behavior Theory Approach to the Relations between Beliefs about an Object and the Attitude Toward the Object. In Mathematical Models in Marketing: A Collection of Abstracts (pp. 87-88). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ford, R., Pritoni, M., Sanguinetti, A., & Karlin, B. (2017). Categories and functionality of smart home technology for energy management. Building and Environment, 123, 543-554. doi:https://doi.org/10.1016/j.buildenv.2017.07.020
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. 26(2), 211-231. doi:doi:10.1108/APJML-06-2013-0061
Gao, L., Bai, X. J. A. P. J. o. M., & Logistics. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. 26(2), 211-231.
Gartner. (2017, February 7). Gartner Says 8.4 Billion Connected "Things" Will Be in Use in 2017, Up 31 Percent From 2016. Retrieved from https://www.gartner.com/en/newsroom/press-releases/2017-02-07-gartner-says-8-billion-connected-things-will-be-in-use-in-2017-up-31-percent-from-2016
Gatignon, H., & Robertson, T. S. (1985). A Propositional Inventory for New Diffusion Research. Journal of Consumer Research, 11(4), 849-867.
Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. doi:https://doi.org/10.1016/S0305-0483(00)00021-9
Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega-International Journal of Management Science, 28(6), 725-737. doi:10.1016/s0305-0483(00)00021-9
Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega, 32(6), 407-424. doi:https://doi.org/10.1016/j.omega.2004.01.006
Ghayvat, H., Mukhopadhyay, S., Gui, X., & Suryadevara, N. (2015). WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings. Sensors (Basel, Switzerland), 15(5), 10350-10379. doi:10.3390/s150510350
Giffin, K. (1967). The contribution of studies of source credibility to a theory of interpersonal trust in the communication process. Psychological Bulletin, 68(2), 104-120. doi:10.1037/h0024833
Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221. doi:10.1007/bf02726497
Gorsuch, R. L. (1983). Factor analysis (2nd ed ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Grønhaug, K., & Stone, R. N. (1993). Perceived Risk: Further Considerations for the Marketing Discipline. European Journal of Marketing, 27(3), 39-50. doi:10.1108/03090569310026637
Grewal, D., Marmorstein, H., & Gotlieb, J. (1994). The Moderating Effects of Message Framing and Source Credibility on the Price-perceived Risk Relationship. Journal of Consumer Research, 21(1), 145-153. doi:10.1086/209388 %J Journal of Consumer Research
Guo, B., Zhang, D., & Wang, Z. (2011, 19-22 Oct. 2011). Living with Internet of Things: The Emergence of Embedded Intelligence. Paper presented at the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing.
Guo, B., Zhang, D., Wang, Z., Yu, Z., & Zhou, X. (2013). Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things. Journal of Network and Computer Applications, 36(6), 1531-1539. doi:https://doi.org/10.1016/j.jnca.2012.12.028
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Hargittai, E., & Marwick, A. (2016). ``What Can I Really Do?'' Explaining the Privacy Paradox with Online Apathy. International Journal of Communication, 10. doi:citeulike-article-id:14178420
Hargreaves, T., Nye, M., & Burgess, J. (2013). Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term. Energy Policy, 52, 126-134. doi:https://doi.org/10.1016/j.enpol.2012.03.027
Hargreaves, T., & Wilson, C. (2017). Perceived Benefits and Risks of Smart Home Technologies. In T. Hargreaves & C. Wilson (Eds.), Smart Homes and Their Users (pp. 35-53). Cham: Springer International Publishing.
Heider, F. (1958). The psychology of interpersonal relations. : New York: John Wiley and Sons.
Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y., & Jansen, E. (2005). The Gator Tech Smart House: a programmable pervasive space. Computer, 38(3), 50-60. doi:10.1109/MC.2005.107
Helm, S., Eggert, A., & Garnefeld, I. (2010). Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (pp. 515-534). Berlin, Heidelberg: Springer Berlin Heidelberg.
Henslin, J. M. J. S., & life, e. (1968). Trust and the cab driver. 138-158.
Herrero Crespo, Á., & Rodríguez del Bosque, I. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847. doi:10.1016/j.chb.2008.04.008
Hisrich, R. D., Dornoff, R. J., & Kernan, J. B. (1972). Perceived Risk in Store Selection. Journal of Marketing Research, 9(4), 435-439. doi:10.2307/3149311
Hong, D., Yuan, M., & Shen, V. Y. (2005). Dynamic privacy management: a plug-in service for the middleware in pervasive computing. https://doi.org/10.1145/1085777.1085779
Horton, K. (2008). Falls in older people: The place of telemonitoring in rehabilitation. Journal of Rehabilitation Research and Development, 45(8), 1183-1194. doi:10.1682/JRRD.2007.09.0152
Häubl, G., & Trifts, V. (2000). Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids. Marketing Science, 19(1), 4-21. doi:10.1287/mksc.19.1.4.15178
Hoyer, W. D., & MacInnis, D. J. (2010). Consumer Behavior: South-Western/Cengage Learning.
Hsu, C.-L., & Lin, J. C.-C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516-527. doi:https://doi.org/10.1016/j.chb.2016.04.023
Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2018). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing. doi:10.1108/EJM-12-2016-0794
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. 20(2), 195-204. doi:10.1002/(sici)1097-0266(199902)20:2<195::Aid-smj13>3.0.Co;2-7
Im, S., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science
31(1), 61. doi:10.1177/0092070302238602
Jabil. (2018). Navigating Smart Home Data Security Concerns. Retrieved from https://www.iotforall.com/smart-home-data-security/
Jacobsson, A., Boldt, M., & Carlsson, B. (2016). A risk analysis of a smart home automation system. Future Generation Computer Systems, 56, 719-733. doi:https://doi.org/10.1016/j.future.2015.09.003
Jacoby, J., & B. Kaplan, L. (1972). The Components Of Perceived Risk (Vol. 3).
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information technology management, 1(1-2), 45-71.
Jianting, J., Ting, L., Chao, S., Hongyu, W., Wenyi, L., Man, S., . . . Zhanpei, J. (2016, 21-25 Aug. 2016). A human-centered smart home system with wearable-sensor behavior analysis. Paper presented at the 2016 IEEE International Conference on Automation Science and Engineering (CASE).
Jonathan Levav, Mark Heitmann, Andreas Herrmann, & Sheena S. Iyengar. (2010). Order in Product Customization Decisions: Evidence from Field Experiments. Journal of Political Economy, 118(2), 274-299. doi:10.1086/652463
Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of perceived risk in product purchase: A cross-validation. Journal of Applied Psychology, 59(3), 287-291. doi:10.1037/h0036657
Katsikas, S. K., Lopez, J., & Pernul, G. (2005). Trust, Privacy and Security in E-Business: Requirements and Solutions, Berlin, Heidelberg.
Keith, M. J., Maynes, C., Lowry, P. B., & Babb, J. S. (2014). Privacy fatigue: The effect of privacy control complexity on consumer electronic information disclosure. Paper presented at the ICIS.
Keller, K. L. (2003). Brand Synthesis: The Multidimensionality of Brand Knowledge. Journal of Consumer Research, 29(4), 595-600. doi:10.1086/346254 %J Journal of Consumer Research
Khedekar, D. C., Truco, A. C., Oteyza, D. A., & Huertas, G. F. J. T. I. B. R. (2017). Home Automation—A Fast‐Expanding Market. 59(1), 79-91.
Kiesling, L. L. (2016). The connected home and an electricity-market platform for the twenty-first century. The Independent Review, 20(3), 405-409.
Kim, D. J. (2008). Self-Perception-Based Versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study. Journal of Management Information Systems, 24(4), 13-45. doi:10.2753/MIS0742-1222240401
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2003). An Investigation of Consumer Online Trust and Purchase-Repurchase Intentions. Paper presented at the ICIS.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564. doi:10.1016/j.dss.2007.07.001
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311. doi:10.1111/j.1365-2575.2007.00269.x
Kim, Y., Park, Y., & Choi, J. (2017). A study on the adoption of IoT smart home service: using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149-1165. doi:10.1080/14783363.2017.1310708
Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online Social Networks: Why We Disclose. Journal of Information Technology, 25(2), 109-125. doi:10.1057/jit.2010.6
Laufer, R. S., & Wolfe, M. (1977). Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of Social Issues, 33(3), 22-42. doi:10.1111/j.1540-4560.1977.tb01880.x
Laura Vadillo, M. L. M.-R., Iván Pau, Rafael Conde, and Miguel Ángel Valero,. (2017). A Smart Telecare System at Digital Home: Perceived Usefulness, Satisfaction, and Expectations for Healthcare Professionals %J Journal of Sensors. Journal of Sensors, 2017, 12. doi:10.1155/2017/8972350
Leeraphong, A., Papasratorn, B., & Chongsuphajaisiddhi, V. (2015). A study on factors influencing elderly intention to use smart home in Thailand: a pilot study. Paper presented at the The 10th International Conference on e-Business, Bangkok, Thailand.
Lewin, K. (1943). Forces behind food habits and methods of change. Bulletin of the national Research Council, 108(1043), 35-65.
Lewis, J. D., & Weigert, A. (1985). Trust as a Social Reality. Social Forces, 63(4), 967-985. doi:10.2307/2578601
Luhmann, N. (1979). Trust: a mechanism for the reduction of social complexity.
Luo, Z. D., Pincon-Raymond, M., & Taylor, P. (1996). Acetylcholinesterase and Nicotinic Acetylcholine Receptor Expression Diverge in Muscular Dysgenic Mice Lacking the L-Type Calcium Channel. 67(1), 111-118. doi:10.1046/j.1471-4159.1996.67010111.x
Luor, T., Lu, H.-P., Yu, H., & Lu, Y. (2015). Exploring the critical quality attributes and models of smart homes. Maturitas, 82(4), 377-386. doi:https://doi.org/10.1016/j.maturitas.2015.07.025
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research, 15(4), 336-355. doi:10.1287/isre.1040.0032
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): Tthe construct, the scale, and a causal model. Information Systems Research, 15(4), 336-355. doi:10.1287/isre.1040.0032
Marra, A. L., Martinelli, F., Mori, P., & Saracino, A. (2017, 1-4 Aug. 2017). Implementing Usage Control in Internet of Things: A Smart Home Use Case. Paper presented at the 2017 IEEE Trustcom/BigDataSE/ICESS.
Maruf Gbadebo Salimona, A. H. G., HaimHilmanAbdullah. (2018). User adoption of Smart Homes Technology in Malaysia: Integration TAM 3,TPB, UTAUT 2 and extension of their constructs for a better prediction. IOSR Journal of Business and Management, 20(4), 60-69. doi:10.9790/487X-2004016069
Marvin, R. (2019). Privacy Tops List of Consumer Smart Home Concerns. Retrieved from https://www.pcmag.com/news/366783/privacy-tops-list-of-consumer-smart-home-concerns
Mason, R. O. (1986). Four Ethical Issues of the Information Age. Mis Quarterly, 10(1), 5-12. doi:10.2307/248873
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology Information Systems Research, 13(3), 334-359. doi:10.1287/isre.13.3.334.81
Metzger, M. (2004). Privacy, Trust, and Disclosure: Exploring Barriers to Electronic Commerce. Journal of Computer-Mediated Communication, 9(4), No Pagination Specified-No Pagination Specified.
Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229-242. doi:10.1086/208701 %J Journal of Consumer Research
Milberg, S. J., Burke, S. J., Smith, H. J., & Kallman, E. A. (1995). Values, personal information privacy, and regulatory approaches Communications of the ACM, 38(12), 65-74. doi:10.1145/219663.219683
Milliman, R. E., & Fugate, D. L. (1988). Using Trust-Transference As A Persuasion Technique: An Empirical Field Investigation. Journal of Personal Selling & Sales Management, 8(2), 1-7. doi:10.1080/08853134.1988.10754486
Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339-346. doi:https://doi.org/10.1016/j.techfore.2017.03.001
Miyazaki, A. D., & Fernandez, A. (2000). Internet Privacy and Security: An Examination of Online Retailer Disclosures. Journal of Public Policy & Marketing, 19(1), 54-61.
Monroe, K. B. (1990). Pricing: Making Profitable Decisions. (2nd edition ed.): New York: McGraw-Hill Book Company.
Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222. doi:10.1287/isre.2.3.192
Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations. Journal of Marketing Research, 29(3), 314-328. doi:10.1177/002224379202900303
Murray, K. B., & Schlacter, J. L. (1990). The impact of services versus goods on consumers’ assessment of perceived risk and variability. Journal of the Academy of Marketing Science, 18(1), 51-65. doi:10.1007/BF02729762
Nabih, M. I., & Poiesz, T. B. C. (1997). Conceptual issues in the study of innovation adoption behavior. ACR North American Advances, 24.
Nam, C., Song, C., Park, E. L., & Ik, C. (2006). Consumers' privacy concerns and willingness to provide marketing-related personal information online. ACR North American Advances.
Nowak, G. J., & Phelps, J. (1997). Direct marketing and the use of individual-level consumer information: Determining how and when “privacy” matters. Journal of Direct Marketing, 11(4), 94-108. doi:https://doi.org/10.1002/(SICI)1522-7138(199723)11:4<94::AID-DIR11>3.0.CO;2-F
Nowak, G. J., & Phelps, J. E. (1992). Understanding privacy concerns: An assessment of consumers’ information-related knowledge and beliefs. Journal of Direct Marketing, 6(4), 28-39. doi:https://doi.org/10.1002/dir.4000060407
Nunnally, J. C., Bernstein, I. H., & Berge, J. M. t. (1967). Psychometric theory (Vol. 226): McGraw-Hill New York.
Nyborg, S., & Røpke, I. (2011). Energy impacts of the smart home-conflicting visions. Paper presented at the Energy impacts of the smart home-conflicting visions.
Ottman, J., & Books, N. B. (1998). Green marketing: opportunity for innovation. The Journal of Sustainable Product Design, 60(7), 136-667.
Pal, D., Funilkul, S., Vanijja, V., & Papasratorn, B. (2018). Analyzing the Elderly Users’ Adoption of Smart-Home Services. IEEE Access, 6, 51238-51252. doi:10.1109/ACCESS.2018.2869599
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet of Things Journal, 4(6), 2342-2350. doi:10.1109/JIOT.2017.2750765
Park, E., Kim, S., Kim, Y., & Kwon, S. J. (2018). Smart home services as the next mainstream of the ICT industry: determinants of the adoption of smart home services. Universal Access in the Information Society, 17(1), 175-190. doi:10.1007/s10209-017-0533-0
Pavlou, P. A., & Gefen, D. (2004). Building Effective Online Marketplaces with Institution-Based Trust. 15(1), 37-59. doi:10.1287/isre.1040.0015
Perera, C., Ranjan, R., Wang, L., Khan, S. U., & Zomaya, A. Y. (2015). Big Data Privacy in the Internet of Things Era. IT Professional, 17(3), 32-39. doi:10.1109/MITP.2015.34
Perry, M., Dowdall, A., Lines, L., & Hone, K. (2004). Multimodal and ubiquitous computing systems: supporting independent-living older users. IEEE Transactions on Information Technology in Biomedicine, 8(3), 258-270. doi:10.1109/TITB.2004.835533
Perusco, L., & Michael, K. (2007). Control, trust, privacy, and security: evaluating location-based services. IEEE Technology and Society Magazine, 26(1), 4-16. doi:10.1109/MTAS.2007.335564
Peter, J. P., & Olson, J. C. (2001). Consumer Behaviour. Chicago: Irwin: Chicago: Irwin.
Peter, J. P., & Tarpey, L. X., Sr. (1975). A Comparative Analysis of Three Consumer Decision Strategies. Journal of Consumer Research, 2(1), 29-37. doi:10.1086/208613 %J Journal of Consumer Research
Ponemon. (2014). The aftermath of a data breach: Consumer sentiment. Retrieved from https://www.ponemon.org/local/upload/file/Consumer%20Study%20on%20Aftermath%20of%20a%20Breach%20FINAL%202.pdf
Pragnell, M., Moore, R., & Spence, L. (2000). The market potential for Smart Homes: York Publishing Services York.
PwC. (2017). Smart home, seamless life. Retrieved from https://www.pwc.com/us/en/industry/entertainment-media/publications/consumer-intelligence-series/assets/pwc-consumer-intelligence-series-iot-connected-home.pdf
PwC. (2018). Prepare for the voice revolution. Retrieved from https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/voice-assistants.html
Quanlong, L., Yan, J., Ting, H., & Hanchuan, X. (2013, 23-25 July 2013). Smart home services based on event matching. Paper presented at the 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
Radosław, M. (2017). The adoption of the Internet of things by young consumers: An empirical investigation. Economic and Environmental Studies (E&ES), 17(2), 363-388.
Ram, S. (1989). Successful innovation using strategies to reduce consumer resistance an empirical test. Journal of Product Innovation Management, 6(1).
Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465. doi:https://doi.org/10.1016/S0378-7206(01)00112-4
Regan, P. M. (1995). Legislating Privacy: Technology, Social Values, and Public Policy: University of North Carolina Press.
Reinhardt, F. L. (1998). Environmental Product Differentiation: Implications for Corporate Strategy. 40(4), 43-73. doi:10.2307/41165964
Reinisch, C., Kofler, M., Iglesias, F., & Kastner, W. (2010). ThinkHome Energy Efficiency in Future Smart Homes. EURASIP Journal on Embedded Systems, 2011(1), 104617. doi:10.1155/2011/104617
Reinisch, C., Kofler, M. J., & Kastner, W. (2010, 13-16 April 2010). ThinkHome: A smart home as digital ecosystem. Paper presented at the 4th IEEE International Conference on Digital Ecosystems and Technologies.
Research, J. (2018a). DIGITAL VOICE ASSISTANTS IN USE TO TRIPLE TO 8 BILLION BY 2023, DRIVEN BY SMART HOME DEVICES.
Research, J. (2018b). VOICE ASSISTANTS USED IN SMART HOMES TO GROW 1,000%, REACHING 275 MILLION BY 2023, AS ALEXA LEADS THE WAY. Retrieved from https://www.juniperresearch.com/press/press-releases/voice-assistants-used-in-smart-homes
Rifon, N. J., LaRose, R., & Choi, S. M. (2005). Your Privacy Is Sealed: Effects of Web Privacy Seals on Trust and Personal Disclosures. 39(2), 339-362. doi:doi:10.1111/j.1745-6606.2005.00018.x
Ripat, J., & Strock, A. (2004). Users' Perceptions of the Impact of Electronic Aids to Daily Living Throughout the Acquisition Process. Assistive Technology, 16(1), 63-72. doi:10.1080/10400435.2004.10132075
Robles, R. J., Kim, T.-h., Cook, D., & Das, S. (2010). A review on security in smart home development. International Journal of Advanced Science Technology, 15.
Rogers, E. M. (1995). Diffusion of innovations. New York: Free Press.
Roloff, M. E. (1981). Interpersonal communication: The social exchange approach.
Rotter, J. B. (1971). Generalized expectancies for interpersonal trust. American Psychologist, 26(5), 443-452. doi:10.1037/h0031464
Roush, C. V., & Cox, J. E. (2000). The Meaning of Home: How It Shapes the Practice of Home and Hospice Care. 18(6), 388-394.
Salem, S. (2018). The Smart Home Needs Data Communication Standards. Retrieved from https://www.jabil.com/insights/blog-main/the-smart-home-needs-data-communication-standards.html
Sauro, J., & Lewis, J. R. (2016). Chapter 8 - Standardized usability questionnaires. In J. Sauro & J. R. Lewis (Eds.), Quantifying the User Experience (Second Edition) (pp. 185-248). Boston: Morgan Kaufmann.
Schaufeli, W. B. J. M. b. i. m. (1996). Maslach Burnout Inventory-General Survey (MBIGS).
Schermer, B. W., Custers, B., & van der Hof, S. (2014). The crisis of consent: how stronger legal protection may lead to weaker consent in data protection. Ethics and Information Technology, 16(2), 171-182. doi:10.1007/s10676-014-9343-8
Schiffman, L. G., & Kanuk, L. L. (2004). Consumer Behavior: Pearson Prentice Hall.
Schwartz, P. M. (1999). Privacy and democracy in cyberspace. Vanderbilt Law Review, 52(6), 1609-+.
Schweizer, D., Zehnder, M., Wache, H., Witschel, H., Zanatta, D., & Rodriguez, M. (2015, 9-11 Dec. 2015). Using Consumer Behavior Data to Reduce Energy Consumption in Smart Homes: Applying Machine Learning to Save Energy without Lowering Comfort of Inhabitants. Paper presented at the 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).
Sekinah, T. (2017). Concern connected to smart home devices. Retrieved from https://www.dataiq.co.uk/articles/articles/concern-connected-smart-home-devices
Sen, R., & Borle, S. (2015). Estimating the Contextual Risk of Data Breach: An Empirical Approach. Journal of Management Information Systems, 32(2), 314-341. doi:10.1080/07421222.2015.1063315
Sheehan, K. B., & Hoy, M. G. (2000). Dimensions of Privacy Concern among Online Consumers. Journal of Public Policy & Marketing, 19(1), 62-73.
Shimp, T. A., & Bearden, W. O. (1982). Warranty and Other Extrinsic Cue Effects on Consumers' Risk Perceptions. Journal of Consumer Research, 9(1), 38-46.
Siegrist, M. (1999). A Causal Model Explaining the Perception and Acceptance of Gene Technology1. Journal of Applied Social Psychology, 29(10), 2093-2106. doi:10.1111/j.1559-1816.1999.tb02297.x
Siegrist, M., Cvetkovich, G., & Roth, C. (2000). Salient Value Similarity, Social Trust, and Risk/Benefit Perception. 20(3), 353-362. doi:10.1111/0272-4332.203034
Sinha, I., & Batra, R. (1999). The effect of consumer price consciousness on private label purchase. International Journal of Research in Marketing, 16(3), 237-251. doi:https://doi.org/10.1016/S0167-8116(99)00013-0
Sintonen, S., & Immonen, M. (2013). Telecare services for aging people: Assessment of critical factors influencing the adoption intention. Computers in Human Behavior, 29(4), 1307-1317. doi:https://doi.org/10.1016/j.chb.2013.01.037
Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information Privacy: Measuring Individuals' Concerns about Organizational Practices. Mis Quarterly, 20(2), 167-196. doi:10.2307/249477
Sobel, M. E. (1982). Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models. Sociological Methodology, 13, 290-312. doi:10.2307/270723
Solomon, M. R., Dahl, D., White, K., Zaichkowsky, J. L., & Polegato, R. (2014). Consumer behavior: Buying, having, and being (Vol. 10). Engelwood Cliffs: Prentice Hal.
Spence, H. E., Engel, J. F., & Blackwell, R. D. (1970). Perceived Risk in Mail-Order and Retail Store Buying. Journal of Marketing Research, 7(3), 364-369. doi:10.2307/3150296
Spreng, R. A., Dixon., A. L., & Olshavsky, R. W. (1993). The Impact of Perceived Value on Customer Satisfaction. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 6, 50-55.
Stefano, G., & Sirkka, L. J. (2003). Consumer and Business Deception on the Internet: Content Analysis of Documentary Evidence. International Journal of Electronic Commerce, 7(4), 93-118. doi:10.1080/10864415.2003.11044283
Stone, E. F., & Stone, D. L. (1990). Privacy in organizations: Theoretical issues, research findings, and protection mechanisms. Research in personnel human resources management, 8(3), 349-411.
Strengers, Y., & Nicholls, L. (2017). Convenience and energy consumption in the smart home of the future: Industry visions from Australia and beyond. Energy Research & Social Science, 32, 86-93. doi:https://doi.org/10.1016/j.erss.2017.02.008
Swaminathan, V., Lepkowska-White, E., & Rao, B. P. J. J. o. C.-M. C. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. 5(2), JCMC523.
Tamm, M. (1999). What does a home mean and when does it cease to be a home? Home as a setting for rehabilitation and care. Disability and Rehabilitation, 21(2), 49-55. doi:10.1080/096382899297963
Tankard, C. (2016). What the GDPR means for businesses. Network Security, 2016(6), 5-8. doi:https://doi.org/10.1016/S1353-4858(16)30056-3
Tanwar, S., Patel, P., Patel, K., Tyagi, S., Kumar, N., & Obaidat, M. S. (2017, 21-23 July 2017). An advanced Internet of Thing based Security Alert System for Smart Home. Paper presented at the 2017 International Conference on Computer, Information and Telecommunication Systems (CITS).
Theoharidou, M., Tsalis, N., & Gritzalis, D. (2016). Smart home solutions: Privacy issues. In Handbook of Smart Homes, Health Care and Well-Being (pp. 67-81).
Thi-Hong-Linh, N., Minh-Hung, D., Hai-Dang, N., Dang-HongNgan, V., Duy-Phuong-Trinh, V., & Hoanh-Su, L. (2018). Key Determinants for Users Intention to Use Smarthome Devices in Vietnam. Journal of Multimedia Information System, 5(4), 283-290. doi:10.9717/JMIS.2018.5.4.283
TRUSTe. (2015). 2015 Internet of Things(IoT) Privacy Index US Edition. Retrieved from https://www.trustarc.com/press/35-of-americans-now-own-at-least-one-smart-device-other-than-a-phone/
Uebersax, J. S. J. S. m. f. r. a. (2006). Likert scales: dispelling the confusion. 31.
Union(ITU), I. T. (2005). The Internet of Things. Retrieved from https://www.itu.int/net/wsis/tunis/newsroom/stats/The-Internet-of-Things-2005.pdf
Vandecasteele, B., & Geuens, M. (2010). Motivated Consumer Innovativeness: Concept, measurement, and validation. International Journal of Research in Marketing, 27(4), 308-318. doi:https://doi.org/10.1016/j.ijresmar.2010.08.004
Varma Citrin, A., Sprott, D. E., Silverman, S. N., & Stem, D. E. (2000). Adoption of Internet shopping: the role of consumer innovativeness. 100(7), 294-300. doi:doi:10.1108/02635570010304806
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), 425-478.
W. Taylor, J. (1974). The Role of Risk in Consumer Behavior (Vol. 38).
Wang, H., Lee, M. K. O., & Wang, C. (1998). Consumer Privacy Concerns about Internet Marketing. Communications of the ACM, 41(3), 63-70.
Wang, P., & Petrison, L. A. (1993). Direct marketing activities and personal privacy: A consumer survey. Journal of Direct Marketing, 7(1), 7-19. doi:https://doi.org/10.1002/dir.4000070104
Westin, A. F., & Ruebhausen, O. M. (1967). Privacy and freedom (Vol. 1): Atheneum New York.
Wilkie, W. L., & Pessemier, E. A. (1973). Issues in Marketing's Use of Multi-Attribute Attitude Models. Journal of Marketing Research, 10(4), 428-441. doi:10.2307/3149391
Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2017). Benefits and risks of smart home technologies. Energy Policy, 103, 72-83. doi:https://doi.org/10.1016/j.enpol.2016.12.047
Wood, C. M., & Scheer, L. K. (1996). Incorporating perceived risk into models of consumer deal assessment and purchase intent. ACR North American Advances.
Xu, H. (2007). The Effects of Self-Construal and Perceived Control on Privacy Concerns. Paper presented at the ICIS.
Xu, H., Dinev, T., Smith, J., & Hart, P. J. J. o. t. A. f. I. S. (2011). Information privacy concerns: Linking individual perceptions with institutional privacy assurances. 12(12), 798.
Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers' adoption of location-based services. Electronic Markets, 19(2-3), 137-149. doi:10.1007/s12525-009-0012-4
Xu, H., & Teo, H.-H. (2004). Alleviating Consumers' Privacy Concerns in Location-Based Services: A Psychological Control Perspective. Paper presented at the ICIS.
Xu, H., Teo, H.-H., & Tan, B. (2005). Predicting the adoption of location-based services: the role of trust and perceived privacy risk. ICIS proceedings
71.
Yang, H., Lee, H., & Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. 117(1), 68-89. doi:doi:10.1108/IMDS-01-2016-0017
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2-22. doi:10.2307/1251446
Zheng, J., Bakker, E., Knight, L., Gilhespy, H., Harland, C., & Walker, H. (2006). A strategic case for e-adoption in healthcare supply chains. International Journal of Information Management, 26(4), 290-301. doi:https://doi.org/10.1016/j.ijinfomgt.2006.03.010
Ziefle, M., Rocker, C., & Holzinger, A. (2011, 18-22 July 2011). Medical Technology in Smart Homes: Exploring the User's Perspective on Privacy, Intimacy and Trust. Paper presented at the 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.
創市際雙週刊. (2018, April 30). 第一Ｏ八期. Retrieved from http://www.ixresearch.com/reports/%E5%89%B5%E5%B8%82%E9%9A%9B%E9%9B%99%E9%80%B1%E5%88%8A%E7%AC%AC%E4%B8%80%EF%BC%AF%E5%85%AB%E6%9C%9F-20180430/
經濟部工業局. (2018, July 12). 智慧家庭產業現況. Retrieved from https://www.sipo.org.tw/industry-overview/industry-status-quo/smart-home-industry-status-quo.html