De Beer, Jeremy

Kietzmann, Jan

Schau, Hope

English

AIS Electronic Library (AISeL)

The Internet of Everything: Converging the Internet of People and the Internet of Things   Jan Keitzmann Gustavson School of Business, University of Victoria jkietzma@uvic.ca Jeremy de Beer University of Ottawa jdebeer@uottawa.ca       Abstract This introduction initiates readers to the topic of the Internet of Everything, highlights salient research issues, and provides a short introduction and discussion of the papers in the minitrack.  1. Introduction This minitrack explores social, technological, legal, and organizational perspectives of emerging types of “Internets.” The “metaverse” exemplifies an emerging multi-dimensional Internet of not just things but places too. For this minitrack, we invite research papers that explore social, technological, legal, managerial, and organizational perspectives of emerging types of “Internets”, including:   The Internet of Places enabled by advancements in virtual and augmented reality, telecommunications bandwidth, artificial intelligence, and other technologies, upon which new social and commercial ecosystems are rapidly developing. The Internet of Things as a concept that allow industrial and everyday physical objects to be connected to the “traditional” Internet, so that these are able to identify themselves to other devices and engage in seamless and automatic data exchange.  The Internet of People emerging with the increase of embedded and wearable technologies (fitness trackers, fashion pieces, embedded medical devices, etc.), which extend people’s roles from being mere users and observers of the Internet to becoming part of the Internet. Other examples of the IoP include the use of  face recognition, or other biometric data used to identify and authenticate a person in everyday scenarios. The Internet of Everything (IoE) materializes when Internets of places, people, and things converge, bringing together a new, networked world of ever-expanding data streams. Authors were invited to submit to this minitrack new empirical and theoretical submissions that address issues related to these Internets (particularly to IoP and the emerging IoE) in a variety of contexts, including but not necessarily limited to the following themes: • Emerging trends regarding the intersections and potential convergences of IoP, IoT and IoE • Analysis of the successes, failures, winners, and losers in the IoP, IoT and IoE convergences • Technologies, applications, legality, security and organizational issues related to IoP and IoE • Big data management (e.g., storing, accessing, analyzing, and reacting to IoP / IoE data) • Opportunities and challenges related to consumer behavior (e.g., privacy concerns, behavioral modifications) with respect to wearable and embedded technologies • Key issues for innovators, developers, IT firms, and technology vendors  Two papers were selected for inclusion in these proceedings. This first examines how IoT can be used to improve demand prediction by integrating multiple live (chronically evolving) databases.  The second paper is about the intersection of biometric technologies and workforce surveillance.  In “Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service,” the authors highlight the value of Internet-of-Things data for improved business operations. Through construction of a predictive system integrating multiple databases across data sources (user behavior, weather, and traffic), the authors evidence strong  predictive power, making a compelling use case for product-service systems (PSS).  The authors of “Biometric Affordances and Ethical Dilemmas: Considerations for a Better Workplace” detail the practical and ethical concerns related to the use of biometric technologies in the workplace.  The authors identify seven affordance and the ethical issues that arise with respect to data privacy and the unethical use of biometric data. Proceedings of the 57th Hawaii International Conference on System Sciences | 2024Page 5015URI: https://hdl.handle.net/10125/106985978-0-9981331-7-1(CC BY-NC-ND 4.0)These papers deliver a positive use case for enhanced prediction coupled with imposing concerns regarding corporate surveillance through biometric data that enable robust discussion of the promise and peril of data use.    Page 5016

Introduction to the Minitrack on The Internet of Everywhere (IoE): Places, People, and Things

https://aisel.aisnet.org/context/hicss-57/article/1766/viewcontent/content.pdf

Introduction to the Minitrack on The Internet of Everywhere (IoE): Places, People, and Things

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