A framework for IoT and Blockchain Based on Marketing Systems with an Emphasis on Big Data Analysis
DOI:
https://doi.org/10.59615/ijime.2.1.25DOR:
https://dorl.net/dor/20.1001.1.2783378.2022.2.2.3.2Keywords:
Big Data Marketing, IoT, Blockchain, IoT Marketing, Smart MarketingAbstract
In today's world, huge amounts of information affect all aspects of our lives and play an important role in our decisions. The importance of big data in business, like other key processes in the organization, has not hidden from experts. Access to big data can play an important role in understanding audience behavior, planning advertising campaigns, deciding on a marketing mix such as changing a product and selecting its distribution channels, implementing e-marketing strategies, content production strategies, and many other micro and macro decisions. The Internet of Things as a transformative technology is one of the most important sources of big data production. The use of social networks and online platforms in marketing, allows companies to interact with consumers in a targeted manner and provide the required information as soon as possible. In addition to high volume, IoT data also has high accuracy and purity, based on performance. Despite all the positive features of IoT-based smart marketing and the presence of big data, the disclosure of private information is the main problem. Therefore, it is necessary to pay attention to methods, approaches and technologies that can help eliminate this complication. It seems that blockchain technology with features such as tracking, transparency and security enhancement, can help to eliminate this problem and improve the performance of the digital marketing industry. For this reason, this chapter of the book provides a conceptual framework for demonstrating the causal relationships of the elements that make up an intelligent marketing system based on these evolving technologies. Understanding this framework will help implement a smart and capable marketing system.
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Copyright (c) 2022 Alireza Aliahmadi, Hamed Nozari, Javid Ghahremani-Nahr
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