Nesnelerin İnterneti Teknolojisinin Tüketiciler Tarafından Kabulü
Yıl 2019,
Cilt: 6 Sayı: 2, 351 - 371, 22.10.2019
Hande Begüm Bumin Doyduk
,
Ebru Beyza Bayarçelik
Öz
Günümüzde son teknolojik ilerlemeler muazzam değişimleri beraberinde getirmekte ve yeni bir döneme kılavuzluk etmektedir. Bu yeni dönemin temel değişim araçlarından biri Nesnelerin İnterneti teknolojisidir. “Nesnelerin İnterneti” terimi ile nesnelerin kimliklere sahip olması ve birbirleriyle her an her yerde bağlantıda bulunması ifade edilmektedir. Söz konusu kavram çok yeni olmasına rağmen pek çok bilim insanı ve uygulamacının ilgisini çekmektedir. Ancak konunun tüketici perspektifinden incelendiği çok sayıda çalışmaya rastlanmamıştır. Potansiyel kullanıcılar kendilerine yeni bir teknoloji sunulduğunda bir kabul sürecinden geçerler. Bu çalışmada tüketicilerin Nesnelerin İnterneti kavramına bakış açıları Teknoloji Kabul Modeli (TKM) üzerinden irdelenmiştir. TKM, algılanan kullanım kolaylığı ve algılanan kullanışlılık etkenlerini, kullanıcıların yeni teknolojileri kullanmada davranışsal niyetlerinin önemli belirleyicileri olarak tanımlamaktadır. Veriler, Yapısal Eşitlik Modellemesi (YEM) ile analiz edilmiştir.
Kaynakça
- ABU, F., YUNUS, A. R., & JABAR, J. (2015). Modified of UTAUT theory in adoption of technology for Malaysia Small Medium Enterprises (SMEs) in food industry. Australian Journal of Basic and Applied Sciences, 104-109.
- Accenture. (2014). The Internet of Things: The Future of Consumer Adoption . Accenture.
- AGARWAL, R., & KARAHANNA, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 665-694.
- AL-AJAM , A., & NOR, K. (2013). Internet banking adoption: integrating technology acceptance model and trust. European Journal of Business and Management, 5(3), 207-215.
- AL-MOMANI, A. M., MAHMOUD, M. A., & AHMAD, S. (2016). Modeling the adoption of internet of things services: A conceptual framework. International Journal of Applied Research, 361-367.
- ALOLAYAN, B. (2014). Do I Really Have to Accept Smart Fridges ? An empirical study. The Seventh International Conference of Advances in Computer Human Interactions (pp. 186-191.). ACHI 2014.
- ASHTON, K. (2009). RFID Journal. Retrieved from That 'Internet of Things' Thing.: http://www.rfidjournal.com/articles/pdf?4986
- ATZORI, L., IERA, A., & MORABITO, G. (2010). The internet of things: A survey. Computer networks, 2787-2805.
- BOONSIRITOMACHAI , W., & PITCHAY, K. (2017). Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept,. Kasetsart Journal of Social Sciences , 2452-3151.
- CHAU, P. Y., & HU, P. J. (2001). Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences, 699-719.
- COUGHLAN, T., BROWN, M., MORTIER, R., HOUGHTON , R. J., GOULDEN, M., & LAWSON, G. (2012). Exploring Acceptance and Consequences of the Internet of Things in the Home. IEEE International Conference on Green Computing and Communications (pp. 148-155). IEEE.
- DA XU, L., HE, W., & LI, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics,, 2233-2243.
- DAVIS, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- DAVIS, F. D. (1986). A technology acceptance model for empirically testing new end-user acceptance of information technology. Doctoral Dissertation. Boston: Massachusetts Institute of Technology.
- DAVIS, F., BAGOZZI, R., & WARSHAW, P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.
- DONG, X., CHANG, Y., WANG, Y., & YAN, J. (2017). Understanding usage of Internet of Things (IOT) systems in China: Cognitive experience and affect experience as moderator. Information Technology & People, 117-138.
- FEATHERMAN, M. S., MIYAZAKI, A. D., & SPROTT, D. E. (2010). Reducing online privacy risk to facilitate e-service adoption: the influence of perceived ease of use and corporate credibility. Journal of Services Marketing, 219-229.
- FISHBEIN, M., & AJZEN, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. PA: Addison-Wesiey.
- GAO, L., & BAI, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 211-231.
- GARTNER. (2016, 11 10). Gartner Says 6.4 Billion Connected "Things" Will Be in Use in 2016, Up 30 Percent From 2015. Retrieved from Gartner: https://www.gartner.com/en/newsroom/press-releases/2015-11-10-gartner-says-6-billion-connected-things-will-be-in-use-in-2016-up-30-percent-from-2015
- GEFEN, D., KARAHANNA, E., & STRAUB, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 51-90.
- GIUSTO, D., IERA, A., MORABITO, G., & ATZORI, L. (2010). The Internet of Things. Springer.
- GONG, M., XU, Y., & YU, Y. (2004). An enhanced technology acceptance model for web-based learning. Journal of Information Systems Education, 15(4), 365-374.
- GROUP, A. (2014). The Internet of Things : the continuation of the internet.
- GUINARD, D., TRIFA, V., KARNOUSKOS, S., SPIESS, P., & SAVIO, D. (2010). Interacting with the soa-based internet of things: Discovery, query, selection, and ondemand provisioning of web services. IEEE Transactions on Services Computing., 223–235.
- GÜNDÜZ, M. Z., & DAŞ, R. (2018). Nesnelerin interneti: Gelişimi, bileşenleri ve uygulama alanları. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 327-335.
- HANSEN, T., JENSEN, J. M., & SOLGAARD, H. S. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 539-550.
- HSU, C. L., & LIN, J. 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, 516-527.
- HSU, C. L., & LIN, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & management, 45(1), 65-74.
- HSU, C., & LU, H. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868.
Hydra Middleware Project. (2010). FP6 European Project . . Retrieved from http:// 1747www.hydramiddleware.eu
- IDC. (2017). Retrieved from Worldwide Semiannual Internet of Things Spending Guide : https://www.idc.com/getdoc.jsp?containerId=IDC_P29475
- JAN, A., & CONTRERAS, V. (2011). Technology acceptance model for the use of information technology in universities. Computers in Human Behavior, 845-851.
- KARAHANNA, E., STRAUB, D. W., & CHERVANY, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 183-213.
- KHAN, R., KHAN, S., ZAHEER, R., & KHAN, S. (2012). KHAN, R., KHAN, S. U., ZAHEER, R., & KHAN, S. (2012, December). Future internet: the internet of things architecture, possible applications and key challenges. 10th international conference on frontiers of information technology, (pp. 257-260).
- KHAN, W. Z., AALSALEM, M. Y., KHAN, M. K., & ARSHAD, Q. (2016). Enabling consumer trust upon acceptance of IoT technologies through security and privacy model. In J. J. ParkHai, H. Jin, Y. Jeong, & M. K. Khan, Advanced Multimedia and Ubiquitous Engineering (pp. 111-117). Singapore: Springer.
- KHAN, W. Z., ALSALEM, M. Y., KHAN, M. K., & ARSHAD, Q. (2017). Antecedents Affecting Consumer Trust Towards Adopting Internet of Things Enabled Products. IEEE Consumer Electronics Magazine.
- KHAN, W., AALSALEM, M. Y., & KHAN, M. K. (2018). KHAN, W. Z., AALSALEM, M. Y., & KHAN, M. K. (2018, January). Five acts of consumer behavior: A potential security and privacy threat to Internet of Things. IEEE International Conference on Consumer Electronics. IEEE.
- KIM , K., & SHIN, D. (2015). An acceptance model for smart watches Research. 25(4), 527-541.
- KOWATSCH , T., & MAASS, W. (2012). Critical privacy factors of internet of things services: An empirical investigation with domain experts. Knowledge and Technologies in Innovative Information Systems. Mediterranean Conference on Information Systems (pp. 200-211). LNBIP.
- KUSKOV, V., KUZIN, M., SHMELEV, Y., MAKRUSHIN, D., & GRACHEV, I. (2017, 06 17). Honeypots and the Internet of Things. Retrieved from Ao KasperskyLab: https://securelist.com/honeypots-and-the-internet-of-things/78751/
- LEE, J., CHOI, J., & KIM, J. (2018). The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties. Telematics and Informatics.
- LI, Q., WANG, Z., LI, W., LI, J., WANG, C., & DU, R. (2013). Applications integration in a hybrid cloud computing environment: Modelling and platform. Enterprise Informations Systems, 237–271.
- LI, X. J., & WANG, D. (2013). Architecture and existing applications for internet of things. Applied Mechanics and Materials, 3317-3321.
- LI, X., LU, R., LIANG, X., SHEN, X., CHEN, J., & LIN, X. (2011). Smart Community: An Internet of Things Application. IEEE Communications Magazine, 68-75.
- LLC, P. I. (2015). Privacy and Security in a Connected Life: A Study of US, European and Japanese Consumers . Ponemon Institute LLC .
- LUETH , K. L. (2018, 8 8). State of the IoT 2018: Number of IoT devices now at 7B – Market accelerating. Retrieved from IoT Analytics: https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/
- LUNNEY , A., CUNNINGHAM, N., & EASTIN, M. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior, 65, 114-120.
- MAIER, M. V. (2016). The Internet of Things (IoT): what is the potential of Internet of Things applications for consumer marketing? 7th IBA Bachelor Thesis Conference. Enschede: University of Twente.
- MARR, B. (2017, 09 29). How Walmart Is Using Machine Learning AI, IoT And Big Data To Boost Retail Performance. Retrieved from Forbes: https://www.forbes.com/sites/bernardmarr/2017/08/29/how-walmart-is-using-machine-learning-ai-iot-and-big-data-to-boost-retail-performance/#5182fbfd6cb1
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Consumers’ Acceptance of Internet of Things Technology
Yıl 2019,
Cilt: 6 Sayı: 2, 351 - 371, 22.10.2019
Hande Begüm Bumin Doyduk
,
Ebru Beyza Bayarçelik
Öz
Recent technological advancements entail immense changes and lead to a new era. One of the main change agents of this new era is internet of things technologies. The term “internet of things” (IoT) indicates objects having an identity and having ubiquitous connection with each other. Notwithstanding the novelty of the concept, it captured the interest of many scholars and practitioners. The subject area has not been analyzed profoundly from the consumers’ point of view. Whenever potential users face a new technology, they experience an acceptation process. In this study, how this new concept is perceived by the consumers is scrutinized. Consumer perspective of IoT is studied through Technology Acceptance Model (TAM). TAM introduced perceived ease of use and perceived usefulness, as significant determinants for a potential user to have behavioral intention to use a new technology. Data were analyzed through Structural Equational Modeling (SEM).
Kaynakça
- ABU, F., YUNUS, A. R., & JABAR, J. (2015). Modified of UTAUT theory in adoption of technology for Malaysia Small Medium Enterprises (SMEs) in food industry. Australian Journal of Basic and Applied Sciences, 104-109.
- Accenture. (2014). The Internet of Things: The Future of Consumer Adoption . Accenture.
- AGARWAL, R., & KARAHANNA, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 665-694.
- AL-AJAM , A., & NOR, K. (2013). Internet banking adoption: integrating technology acceptance model and trust. European Journal of Business and Management, 5(3), 207-215.
- AL-MOMANI, A. M., MAHMOUD, M. A., & AHMAD, S. (2016). Modeling the adoption of internet of things services: A conceptual framework. International Journal of Applied Research, 361-367.
- ALOLAYAN, B. (2014). Do I Really Have to Accept Smart Fridges ? An empirical study. The Seventh International Conference of Advances in Computer Human Interactions (pp. 186-191.). ACHI 2014.
- ASHTON, K. (2009). RFID Journal. Retrieved from That 'Internet of Things' Thing.: http://www.rfidjournal.com/articles/pdf?4986
- ATZORI, L., IERA, A., & MORABITO, G. (2010). The internet of things: A survey. Computer networks, 2787-2805.
- BOONSIRITOMACHAI , W., & PITCHAY, K. (2017). Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept,. Kasetsart Journal of Social Sciences , 2452-3151.
- CHAU, P. Y., & HU, P. J. (2001). Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences, 699-719.
- COUGHLAN, T., BROWN, M., MORTIER, R., HOUGHTON , R. J., GOULDEN, M., & LAWSON, G. (2012). Exploring Acceptance and Consequences of the Internet of Things in the Home. IEEE International Conference on Green Computing and Communications (pp. 148-155). IEEE.
- DA XU, L., HE, W., & LI, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics,, 2233-2243.
- DAVIS, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- DAVIS, F. D. (1986). A technology acceptance model for empirically testing new end-user acceptance of information technology. Doctoral Dissertation. Boston: Massachusetts Institute of Technology.
- DAVIS, F., BAGOZZI, R., & WARSHAW, P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003.
- DONG, X., CHANG, Y., WANG, Y., & YAN, J. (2017). Understanding usage of Internet of Things (IOT) systems in China: Cognitive experience and affect experience as moderator. Information Technology & People, 117-138.
- FEATHERMAN, M. S., MIYAZAKI, A. D., & SPROTT, D. E. (2010). Reducing online privacy risk to facilitate e-service adoption: the influence of perceived ease of use and corporate credibility. Journal of Services Marketing, 219-229.
- FISHBEIN, M., & AJZEN, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. PA: Addison-Wesiey.
- GAO, L., & BAI, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 211-231.
- GARTNER. (2016, 11 10). Gartner Says 6.4 Billion Connected "Things" Will Be in Use in 2016, Up 30 Percent From 2015. Retrieved from Gartner: https://www.gartner.com/en/newsroom/press-releases/2015-11-10-gartner-says-6-billion-connected-things-will-be-in-use-in-2016-up-30-percent-from-2015
- GEFEN, D., KARAHANNA, E., & STRAUB, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 51-90.
- GIUSTO, D., IERA, A., MORABITO, G., & ATZORI, L. (2010). The Internet of Things. Springer.
- GONG, M., XU, Y., & YU, Y. (2004). An enhanced technology acceptance model for web-based learning. Journal of Information Systems Education, 15(4), 365-374.
- GROUP, A. (2014). The Internet of Things : the continuation of the internet.
- GUINARD, D., TRIFA, V., KARNOUSKOS, S., SPIESS, P., & SAVIO, D. (2010). Interacting with the soa-based internet of things: Discovery, query, selection, and ondemand provisioning of web services. IEEE Transactions on Services Computing., 223–235.
- GÜNDÜZ, M. Z., & DAŞ, R. (2018). Nesnelerin interneti: Gelişimi, bileşenleri ve uygulama alanları. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 327-335.
- HANSEN, T., JENSEN, J. M., & SOLGAARD, H. S. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 539-550.
- HSU, C. L., & LIN, J. 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, 516-527.
- HSU, C. L., & LIN, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & management, 45(1), 65-74.
- HSU, C., & LU, H. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868.
Hydra Middleware Project. (2010). FP6 European Project . . Retrieved from http:// 1747www.hydramiddleware.eu
- IDC. (2017). Retrieved from Worldwide Semiannual Internet of Things Spending Guide : https://www.idc.com/getdoc.jsp?containerId=IDC_P29475
- JAN, A., & CONTRERAS, V. (2011). Technology acceptance model for the use of information technology in universities. Computers in Human Behavior, 845-851.
- KARAHANNA, E., STRAUB, D. W., & CHERVANY, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 183-213.
- KHAN, R., KHAN, S., ZAHEER, R., & KHAN, S. (2012). KHAN, R., KHAN, S. U., ZAHEER, R., & KHAN, S. (2012, December). Future internet: the internet of things architecture, possible applications and key challenges. 10th international conference on frontiers of information technology, (pp. 257-260).
- KHAN, W. Z., AALSALEM, M. Y., KHAN, M. K., & ARSHAD, Q. (2016). Enabling consumer trust upon acceptance of IoT technologies through security and privacy model. In J. J. ParkHai, H. Jin, Y. Jeong, & M. K. Khan, Advanced Multimedia and Ubiquitous Engineering (pp. 111-117). Singapore: Springer.
- KHAN, W. Z., ALSALEM, M. Y., KHAN, M. K., & ARSHAD, Q. (2017). Antecedents Affecting Consumer Trust Towards Adopting Internet of Things Enabled Products. IEEE Consumer Electronics Magazine.
- KHAN, W., AALSALEM, M. Y., & KHAN, M. K. (2018). KHAN, W. Z., AALSALEM, M. Y., & KHAN, M. K. (2018, January). Five acts of consumer behavior: A potential security and privacy threat to Internet of Things. IEEE International Conference on Consumer Electronics. IEEE.
- KIM , K., & SHIN, D. (2015). An acceptance model for smart watches Research. 25(4), 527-541.
- KOWATSCH , T., & MAASS, W. (2012). Critical privacy factors of internet of things services: An empirical investigation with domain experts. Knowledge and Technologies in Innovative Information Systems. Mediterranean Conference on Information Systems (pp. 200-211). LNBIP.
- KUSKOV, V., KUZIN, M., SHMELEV, Y., MAKRUSHIN, D., & GRACHEV, I. (2017, 06 17). Honeypots and the Internet of Things. Retrieved from Ao KasperskyLab: https://securelist.com/honeypots-and-the-internet-of-things/78751/
- LEE, J., CHOI, J., & KIM, J. (2018). The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties. Telematics and Informatics.
- LI, Q., WANG, Z., LI, W., LI, J., WANG, C., & DU, R. (2013). Applications integration in a hybrid cloud computing environment: Modelling and platform. Enterprise Informations Systems, 237–271.
- LI, X. J., & WANG, D. (2013). Architecture and existing applications for internet of things. Applied Mechanics and Materials, 3317-3321.
- LI, X., LU, R., LIANG, X., SHEN, X., CHEN, J., & LIN, X. (2011). Smart Community: An Internet of Things Application. IEEE Communications Magazine, 68-75.
- LLC, P. I. (2015). Privacy and Security in a Connected Life: A Study of US, European and Japanese Consumers . Ponemon Institute LLC .
- LUETH , K. L. (2018, 8 8). State of the IoT 2018: Number of IoT devices now at 7B – Market accelerating. Retrieved from IoT Analytics: https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/
- LUNNEY , A., CUNNINGHAM, N., & EASTIN, M. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior, 65, 114-120.
- MAIER, M. V. (2016). The Internet of Things (IoT): what is the potential of Internet of Things applications for consumer marketing? 7th IBA Bachelor Thesis Conference. Enschede: University of Twente.
- MARR, B. (2017, 09 29). How Walmart Is Using Machine Learning AI, IoT And Big Data To Boost Retail Performance. Retrieved from Forbes: https://www.forbes.com/sites/bernardmarr/2017/08/29/how-walmart-is-using-machine-learning-ai-iot-and-big-data-to-boost-retail-performance/#5182fbfd6cb1
- MATHIESON, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information System Research, 173-179.
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