Theories and Models in AIoT: Exploring economic, behavioral, technological, psychological, and organizational perspectives

Title

Theories and Models in AIoT: Exploring economic, behavioral, technological, psychological, and organizational perspectives

Creator

Singha S.; Singha R.

Description

AIoT, or artificial intelligence of things, is a transformative combination of artificial intelligence and the internet of things (IoT) that has far-reaching ramifications across multiple domains. This chapter examines the theories and models underlying its development and implementation. Businesses can assess the costs, benefits, and competitive advantages of AIoT by using economic models and market dynamics. Understanding human behaviour and trust is crucial for user acceptance, while ethical considerations underpin the development of accountable AIoT applications. Data management, security, and interoperability are technical facets that architectural frameworks address. The alignment of AIoT with human needs is enhanced by cognitive models and user experience, thereby fostering well-being. Change management and organizational learning are essential for effective implementation, which fosters innovation. AIoT promotes innovation and efficiency in manufacturing, healthcare, and smart cities. 2024 by IGI Global. All rights reserved.

Source

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition, pp. 214-239.

Date

2024-01-01

Publisher

IGI Global

Coverage

Singha S., Kristu Jayanti College (Autonomous), India; Singha R., Christ University, India

Rights

Restricted Access

Relation

ISBN: 979-836930994-0; 979-836930993-3

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-0993-3.ch010

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