Abstract
Internet of things is one of the emerging technologies which will affect different application domains and will completely revolutionize the techniques incorporated by marketers and businesses. IoT connects millions of objects and integrates smart devices like RFID, sensors, and actuators delivering real-time, context-based data which needs to be extracted and analyzed to create contextually effective marketing strategies to impact consumers at an unprecedented level. An enormous amount of data is stored on cloud which can be used to market a product. Cloud data and eminence of IoT devices will disrupt the working of multiple industries and prominently, digital marketing. This paper discusses the impact of cloud storage and IoT in digital marketing and specifically, how the information can be leveraged to interpret the behavior of users in terms of traveling, shopping, social behavior, professional background, interest, and a lot of other personal information. This paper proposes a model which will help to channelize the cloud data and the data from IoTs to digital marketing specifically for tourism sector.
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References
Whitmore, A., Agarwal, A., Da Xu, L.: The Internet of Things—a survey of topics and trends
Đurđević, N., Labus, A., Bogdanović, Z., Despotović-Zrakić, M.: Internet of things in marketing and retail. Int. J. Adv. Comput. Sci. Appl. 6(3)
Yao, Y., Yen, B., Yip, A.: Examining the effects of the Internet of Things (IOT) on e-commerce: Alibaba case study
Decker, R., Stummer, C.: Marketing management for consumer products in the era of the Internet of Things. Adv. Internet Things 7, 47–70 (2017)
Chang, Y., Dong, X., Sun, W.: Influence of Characteristics of The Internet Of Things on Consumer Purchase Intention
Klopper, D.: The Possibilities and Challenges of the Application and Integration of the Internet of Things for Future Marketing Practice
Persico, V., Pescapé, A., Picariello, A., Sperlí, G.: Benchmarking big data architectures for social networks data processing using public cloud platforms. Futur. Gener. Comput. Syst. 89, 98–109 (2018)
Alsaad, A., Mohamad, R., Ismail, N.A.: The contingent role of dependency in predicting the intention to adopt B2B e-commerce. Inf. Technol. Dev., 1–29 (2018)
Dasgupta, N.: Practical Big Data Analytics: Hands-on Techniques to Implement Enterprise Analytics and Machine Learning Using Hadoop, Spark, NoSQL and R (2018)
Su, Y., Wang, Y., Mi, C.: The forecast of development prospects of China’s cross-border E-commerce based on grey system theory. In: 2017 International Conference on Grey Systems and Intelligent Services (GSIS), pp. 182–186. IEEE (2017, August)
Tseng, K.K., Lin, R.F.Y., Zhou, H., Kurniajaya, K.J., Li, Q.: Price prediction of e-commerce products through Internet sentiment analysis. Electron. Commer. Res. 18(1), 65–88 (2018)
Pappas, I.O., Kourouthanassis, P.E., Giannakos, M.N., Lekakos, G.: The interplay of online shopping motivations and experiential factors on personalized e-commerce: a complexity theory approach. Telemat. Inf. 34(5), 730–742 (2017)
Blaise, R., Halloran, M., Muchnick, M.: Mobile commerce competitive advantage: a quantitative study of variables that predict m-commerce purchase intentions. J. Internet Commer. 17(2), 96–114 (2018)
Kumar, A., Kabra, G., Mussada, E.K., Dash, M.K., Rana, P.S.: Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention. Neural Comput. Appl., 1–14 (2017)
Taylor, M., Reilly, D., Wren, C.: Internet of things support for marketing activities. J. Strat. Mark., 1–12 (2018)
Rajabi, N., Hakim, A.: An intelligent interactive marketing system based-on Internet of Things (IoT). In: 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 243–247. IEEE (2015)
Ceipidor, U.B., Medaglia, C.M., Volpi, V., Moroni, A., Sposato, S., Tamburrano, M.: Design and development of a social shopping experience in the IoT domain: the ShopLovers solution. In: 2011 19th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1–5. IEEE (2011)
Godin, S.: How to get your ideas to spread (2003). Video, TED. https://www.ted.com/talks/seth_godin_on_sliced_bread
Xu, X.: IOT technology research in E-commerce. Inf. Technol. J. 13(16), 2552–2559 (2014)
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Parwekar, P., Gupta, G. (2020). Cloud Data for Marketing in Tourism Sector. In: Zhang, YD., Mandal, J., So-In, C., Thakur, N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems and Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-15-0077-0_16
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DOI: https://doi.org/10.1007/978-981-15-0077-0_16
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