Disruption of Things: A Model to Facilitate Adoption of IoT-based Innovations by the Urban Poor
TL;DR: This study examines the adoption of the Internet of Things (IoT) based innovations by urban poor communities and develops a model for adoption of IoT-based innovations by the urban poor to enable the Disruption of Things.
About: This article is published in Procedia Engineering.The article was published on 2016-01-01 and is currently open access. It has received 26 citations till now.
Citations
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TL;DR: It was revealed that home healthcare service was one of the main application areas of IoT in healthcare, and the main challenges of Internet of Things in healthcare were security and privacy issues.
Abstract: The Internet of Things (IoT) is an ecosystem that integrates physical objects, software and hardware to interact with each other. Aging of population, shortage of healthcare resources, and rising medical costs make IoT-based technologies necessary to be tailored to address these challenges in healthcare. This systematic literature review has been conducted to determine the main application area of IoT in healthcare, components of IoT architecture in healthcare, most important technologies in IoT, characteristics of cloud-based architecture, security and interoperability issues in IoT architecture and effects, and challenges of IoT in healthcare. Sixty relevant papers, published between 2000 and 2016, were reviewed and analyzed. This analysis revealed that home healthcare service was one of the main application areas of IoT in healthcare. Cloud-based architecture, by providing great flexibility and scalability, has been deployed in most of the reviewed studies. Communication technologies including wireless fidelity (Wi-Fi), Bluetooth, radio-frequency identification (RFID), ZigBee, and Low-Power Wireless Personal Area Networks (LoWPAN) were frequently used in different IoT models. The studies regarding the security and interoperability issues in IoT architecture in health are still low in number. With respect to the most important effects of IoT in healthcare, these included ability of information exchange, decreasing stay of hospitalization and healthcare costs. The main challenges of IoT in healthcare were security and privacy issues.
165 citations
Cites background from "Disruption of Things: A Model to Fa..."
...On the other hand, some studies [219, 220] concentrate on critical factors in IoT acceptance....
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TL;DR: A comprehensive review of the novel TinyML ecosystem is provided, several TinyML frameworks are evaluated and the performances of a number of ML algorithms embedded in an Arduino Uno board are analyzed, revealing the validity of the TinyML approach, which successfully enables the integration of techniques such as Neural Networks, Support Vector Machine, decision trees, or Random Forest in frugal objects with constrained hardware resources.
Abstract: The TinyML paradigm proposes to integrate Machine Learning (ML)-based mechanisms within small objects powered by Microcontroller Units (MCUs) This paves the way for the development of novel applications and services that do not need the omnipresent processing support from the cloud, which is power consuming and involves data security and privacy risks In this work, a comprehensive review of the novel TinyML ecosystem is provided The related challenges and opportunities are identified and the potential services that will be enabled by the development of truly smart frugal objects are discussed As a main contribution of this paper, a detailed survey of the available TinyML frameworks for integrating ML algorithms within MCUs is provided Besides, aiming at illustrating the given discussion, a real case study is presented Concretely, we propose a multi-Radio Access Network (RAT) architecture for smart frugal objects The issue of selecting the most adequate communication interface for sending sporadic messages considering both the status of the device and the characteristics of the data to be sent is addressed To this end, several TinyML frameworks are evaluated and the performances of a number of ML algorithms embedded in an Arduino Uno board are analyzed The attained results reveal the validity of the TinyML approach, which successfully enables the integration of techniques such as Neural Networks (NNs), Support Vector Machine (SVM), decision trees, or Random Forest (RF) in frugal objects with constrained hardware resources The outcomes also show promising results in terms of algorithm's accuracy and computation performance
159 citations
TL;DR: In this paper, the authors investigate the adoption of Internet of Things (IoT) in the agriculture industry by the farmers in India using the theoretical lens of the behavioral reasoning theory (BRT).
Abstract: The purpose of this paper is to investigate the adoption of Internet of Things (IoT) in the agriculture industry by the farmers' in India using the theoretical lens of the behavioral reasoning theory (BRT).,A survey on farmers was conducted to examine the adoption of IoT in agriculture industry (IoT-A) using BRT. The data analysis of the primary survey was done by applying the structural equation modelling (SEM) technique.,The ‘reasons for’ adoption of IoT-A were as follows: Relative advantage, social influence, perceived convenience, and perceived usefulness. The ‘reasons against’ adoption were as follows: Image barrier, technological anxiety, perceived price and perceived risk. The BRT theory provides the platform to discuss the psychological processing of acceptance of IoT in agriculture industry by the farmers.,This research has unique implications as it studies the rural consumers’ behavior of innovation adoption namely IoT in agriculture. It provides the specific reasons ‘for’ and ‘against’ IoT adoption in agriculture, which will give directions to the marketers of IoT technology to develop suitable marketing strategies to improve the adoption in rural areas.,This research takes the first step in the direction toward deliberation of the adoption of IoT-A by farmers in an emerging Indian economy using the BRT theory, which discusses the ‘reasons for’ and ‘reasons against’ adoption in a proposed model.
42 citations
TL;DR: The results show that research in healthcare IoT has mainly focused on the technical aspects with little attention to social concerns, and provides directions for future research.
Abstract: Internet of Things (IoT) have made a significant impact in healthcare domain. The purpose of this study is to unravel key themes latent in the academic literature on IoT applications in healthcare....
24 citations
TL;DR: This paper applies work on informal urban infrastructures and smart urbanism to three case studies, producing novel insights into how IoT technologies reconfigure connections between users, providers and infrastructureures.
Abstract: Of the build out of humanity predicted up to the end of the century, a substantial portion will occur within informal urban settlements – areas characterised by poor access to infrastructure and se...
21 citations
Cites background from "Disruption of Things: A Model to Fa..."
...Graham and Haarstad (2014) identify that IoT has potential within low-income and informal settlements where infrastructural access is minimal but, as Roy et al. (2016) note, social acceptance of IoT may also be low in these areas....
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References
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TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
9,593 citations
01 Jan 1999
TL;DR: The phrase "Internet of Things" started life as the title of a presentation I made at Procter & Gamble (P&G) in 1999 as mentioned in this paper, which was more than just a good way to get executive attention.
Abstract: Jun 22, 2009—I could be wrong, but I'm fairly sure the phrase "Internet of Things" started life as the title of a presentation I made at Procter & Gamble (P&G) in 1999. Linking the new idea of RFID in P&G's supply chain to the then-red-hot topic of the Internet was more than just a good way to get executive attention. It summed up an important insight—one that 10 years later, after the Internet of Things has become the title of everything from an article in Scientific American to the name of a European Union conference, is still often misunderstood.
2,608 citations
TL;DR: The findings indicate that merchant integrity is a major positive determinant of consumer trust in Internet shopping, and that its effect is moderated by the individual consumer's trust propensity.
Abstract: E-commerce success, especially in the business-to-consumer area, is determined in part by whether consumers trust sellers and products they cannot see or touch, and electronic systems with which they have no previous experience. This paper describes a theoretical model for investigating the four main antecedent influences on consumer trust in Internet shopping, a major form of business-to-consumer e-commerce: trustworthiness of the Internet merchant, trustworthiness of the Internet as a shopping medium, infrastructural (contextual) factors (e.g., security, third-party certification), and other factors (e.g., company size, demographic variables). The antecedent variables are moderated by the individual consumer's degree of trust propensity, which reflects personality traits, culture, and experience. Based on the research model, a comprehensive set of hypotheses is formulated and a methodology for testing them is outlined. Some of the hypotheses are tested empirically to demonstrate the applicability of the...
1,941 citations
TL;DR: It is concluded that high-quality, adequately powered trials of optimized interventions are required to evaluate effects on objective outcomes.
Abstract: Background
Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers.
1,518 citations
01 Feb 2007
TL;DR: The findings demonstrate that consumers' perception of the value of M-Internet is a principal determinant of adoption intention, and the other beliefs are mediated through perceived value.
Abstract: This study examines the adoption of Mobile Internet (M-Internet) as a new Information and Communication Technology (ICT) from the value perspective. M-Internet is a fast growing enabling technology for Mobile Commerce. However, despite its phenomenal growth and although M-Internet essentially provides the same services as stationary Internet, its adoption rate in many countries is very low compared to that of stationary Internet. The well-known Technology Adoption Model (TAM) has been used for explaining the adoption of traditional technologies. Most adopters and users of traditional technologies (e.g., spreadsheet, word processor) are employees in an organizational setting who use the technology for work purposes, and the cost of mandatory adoption and usage is borne by the organization. In contrast, adopters and users of M-Internet are individuals who play the dual roles of technology user and service consumer. Most of them adopt and use it for personal purposes, and the cost of voluntary adoption and usage is borne by the individuals. Thus, the adopters of new ICT, especially M-Internet, are also consumers rather than simply technology users. By adopting the theory of consumer choice and decision making from economics and marketing research, this study develops the Value-based Adoption Model (VAM) and explains customers' M-Internet adoption from the value maximization perspective. The findings demonstrate that consumers' perception of the value of M-Internet is a principal determinant of adoption intention, and the other beliefs are mediated through perceived value. The theoretical and practical implications of VAM related to M-Internet are discussed.
1,517 citations