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Technopsychology of IoT Optimization in the Business World

Technopsychology of IoT Optimization in the Business World

Tommy Prayoga, Juneman Abraham
Copyright: © 2020 |Pages: 25
ISBN13: 9781522598664|ISBN10: 1522598669|EISBN13: 9781522598671
DOI: 10.4018/978-1-5225-9866-4.ch002
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MLA

Prayoga, Tommy, and Juneman Abraham. "Technopsychology of IoT Optimization in the Business World." Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 21-45. https://doi.org/10.4018/978-1-5225-9866-4.ch002

APA

Prayoga, T. & Abraham, J. (2020). Technopsychology of IoT Optimization in the Business World. In I. Management Association (Ed.), Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications (pp. 21-45). IGI Global. https://doi.org/10.4018/978-1-5225-9866-4.ch002

Chicago

Prayoga, Tommy, and Juneman Abraham. "Technopsychology of IoT Optimization in the Business World." In Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 21-45. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9866-4.ch002

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Abstract

There are at least two complementary levels in the Internet of Things. The first (back) end comes from the big data companies that mine and analyze every log of activities through every device that are attached to the second (front) end, i.e., the many aspects of our lives. However, what keeps this wheel of innovation going forward is actually the front end user. Technology, however improved and innovative, will not fulfill its full potential if users do not adopt and accept it as part of their lives. They must be willing to work with the technology - sold as way to ease and improve lives - for the machine to work and be meaningful. By then the big data companies can gather information about what users want and how they behave to grasp a better understanding and make better decisions about next technology improvement. Users' acceptance and decisions to appropriate shape how big data companies work and innovate. Acceptance and appropriation are the two of the most important areas to explore in the field of IoT optimization in the business world.

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