Cited by 80Internet of Things and AIDigital Innovation in IndustriesAI in Service Interactions

Internet of behaviours (IoB) and its role in customer services

Open access
Javaid, Mohd, Haleem, Abid, Singh, Ravi Pratap, Rab, Shanay, Suman, Rajiv·2021·Sensors International

Abstract

Internet of Behaviours (IoB) aims to discuss how data are better understood and used to construct and promote new products from the view point of human psychology. The IoB can be used in a multitude of ways by public or private entities. This technology will become a compelling new marketing and distribution platform for companies and organisations worldwide. IoB platform allows developing an in-depth understanding of clients that every company needs. For example, IoB connects all cell phones in the app and can then see their errors and get visual recommendations on strengthening their swing and stroke. The interconnection of devices produces many new data points and extends from the Internet of things (IoT). Businesses collect information from customers through ‘sharing’ between connected devices, monitored through a single computer in real life. This paper is brief about the IoB and its role to fulfil customer requirements. This study also identifies and discusses IoB applications for better customer services. The aggregation of use and information from IoB devices gives helpful insight into consumers' comportments, desires, and tastes, something coined as a computer network. It encompasses many devices from phones to vehicles, exercise reloads, credit cards, to everything else literally connected to the Internet. Thus, The IoB's goal is to record, analyse, comprehend, and respond to all forms of human behaviour in a way that allows people to be tracked and interpreted using developing technology advancements and advances in machine learning algorithms.

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3 of the 93 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. H.F. Atlam, R.J. Walters, G.B. Wills, Fog Computing and the Internet of Things: A Review. Big Data and Cognitive Computing, vol. 2, 2018 Jun, p. 10, 2.
  2. M. Ammar, A. Haleem, M. Javaid, R. Walia, S. Bahl, Improving material quality management and manufacturing organisations system through Industry 4.0 technologies, Mater. Today: Proc. (2021 Feb 26).

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Authors
Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R.
Affiliations
  • Jamia Millia Islamia (IN)
  • Dr. B. R. Ambedkar National Institute of Technology Jalandhar (IN)
  • Govind Ballabh Pant University of Agriculture and Technology (IN)
Corresponding author
Javaid, Mohd
Venue
Sensors International
Publisher
Elsevier BV
Published
2021
Volume
2
Pages
100122
ISSN
2666-3511 (ISSN-L)
OpenAlex
W3191043099
Cited by
80
References
93
Citations by year
2026: 5 · 2025: 17 · 2024: 12 · 2023: 29 · 2022: 15 · 2021: 2
FWCI
13.11
Type
journal article
Language
en
Open access
Locations
  • Sensors International (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
customer service, customer behavior analysis, Internet of Things, consumer behavior, machine learning, IoT devices, marketing and distribution

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