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Article
Publication date: 14 October 2021

Mona Bokharaei Nia, Mohammadali Afshar Kazemi, Changiz Valmohammadi and Ghanbar Abbaspour

The increase in the number of healthcare wearable (Internet of Things) IoT options is making it difficult for individuals, healthcare experts and physicians to find the right…

Abstract

Purpose

The increase in the number of healthcare wearable (Internet of Things) IoT options is making it difficult for individuals, healthcare experts and physicians to find the right smart device that best matches their requirements or treatments. The purpose of this research is to propose a framework for a recommender system to advise on the best device for the patient using machine learning algorithms and social media sentiment analysis. This approach will provide great value for patients, doctors, medical centers, and hospitals to enable them to provide the best advice and guidance in allocating the device for that particular time in the treatment process.

Design/methodology/approach

This data-driven approach comprises multiple stages that lead to classifying the diseases that a patient is currently facing or is at risk of facing by using and comparing the results of various machine learning algorithms. Hereupon, the proposed recommender framework aggregates the specifications of wearable IoT devices along with the image of the wearable product, which is the extracted user perception shared on social media after applying sentiment analysis. Lastly, a proposed computation with the use of a genetic algorithm was used to compute all the collected data and to recommend the wearable IoT device recommendation for a patient.

Findings

The proposed conceptual framework illustrates how health record data, diseases, wearable devices, social media sentiment analysis and machine learning algorithms are interrelated to recommend the relevant wearable IoT devices for each patient. With the consultation of 15 physicians, each a specialist in their area, the proof-of-concept implementation result shows an accuracy rate of up to 95% using 17 settings of machine learning algorithms over multiple disease-detection stages. Social media sentiment analysis was computed at 76% accuracy. To reach the final optimized result for each patient, the proposed formula using a Genetic Algorithm has been tested and its results presented.

Research limitations/implications

The research data were limited to recommendations for the best wearable devices for five types of patient diseases. The authors could not compare the results of this research with other studies because of the novelty of the proposed framework and, as such, the lack of available relevant research.

Practical implications

The emerging trend of wearable IoT devices is having a significant impact on the lifestyle of people. The interest in healthcare and well-being is a major driver of this growth. This framework can help in accelerating the transformation of smart hospitals and can assist doctors in finding and suggesting the right wearable IoT for their patients smartly and efficiently during treatment for various diseases. Furthermore, wearable device manufacturers can also use the outcome of the proposed platform to develop personalized wearable devices for patients in the future.

Originality/value

In this study, by considering patient health, disease-detection algorithm, wearable and IoT social media sentiment analysis, and healthcare wearable device dataset, we were able to propose and test a framework for the intelligent recommendation of wearable and IoT devices helping healthcare professionals and patients find wearable devices with a better understanding of their demands and experiences.

Article
Publication date: 7 September 2020

Sheshadri Chatterjee

The purpose of this study is to analyze the impact of ethics and technology towards safety of internet of things (IoT)-enabled system in smart cities of India (SCI).

Abstract

Purpose

The purpose of this study is to analyze the impact of ethics and technology towards safety of internet of things (IoT)-enabled system in smart cities of India (SCI).

Design/methodology/approach

The determinants that would impact on securing IoT-enabled system in SCI have been identified by the studies of literature. Some hypothesis has been formulated. A conceptual model has been developed. Hypotheses and conceptual models have been tested by a statistical approach through survey works considering the feedbacks of 331 usable respondents. The results have been discussed followed by explaining the implications of this study. A comprehensive conclusion has been provided at the end.

Findings

The validated results show that the trust factor has insignificant impacts on the system and technology use, as well as on the behavioural intention. The model provided could achieve 79% explanative power.

Practical implications

For ensuring safety and security of IoT-enabled devices in SCI, the ethical sense of the stakeholders of SCI has considerable impact on securing safety of IoT-enabled devices in SCI. The practitioner should, as such, be sincere to motivate the stakeholders to ameliorate the ethical sense of the stakeholders for securing safety of IoT-enabled devices in SCI.

Originality/value

A few studies in the areas of Indian smart cities, IoT and related ethical issues have been conducted. In that sense, this approach is deemed to be a novel attempt.

Details

International Journal of Ethics and Systems, vol. 36 no. 4
Type: Research Article
ISSN: 2514-9369

Keywords

Article
Publication date: 9 October 2019

Elham Ali Shammar and Ammar Thabit Zahary

Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by…

6404

Abstract

Purpose

Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by enabling connections between smart objects and humans, and also between smart objects themselves, which leads to anything, anytime, anywhere, and any media communications. IoT allows objects to physically see, hear, think, and perform tasks by making them talk to each other, share information and coordinate decisions. To enable the vision of IoT, it utilizes technologies such as ubiquitous computing, context awareness, RFID, WSN, embedded devices, CPS, communication technologies, and internet protocols. IoT is considered to be the future internet, which is significantly different from the Internet we use today. The purpose of this paper is to provide up-to-date literature on trends of IoT research which is driven by the need for convergence of several interdisciplinary technologies and new applications.

Design/methodology/approach

A comprehensive IoT literature review has been performed in this paper as a survey. The survey starts by providing an overview of IoT concepts, visions and evolutions. IoT architectures are also explored. Then, the most important components of IoT are discussed including a thorough discussion of IoT operating systems such as Tiny OS, Contiki OS, FreeRTOS, and RIOT. A review of IoT applications is also presented in this paper and finally, IoT challenges that can be recently encountered by researchers are introduced.

Findings

Studies of IoT literature and projects show the disproportionate importance of technology in IoT projects, which are often driven by technological interventions rather than innovation in the business model. There are a number of serious concerns about the dangers of IoT growth, particularly in the areas of privacy and security; hence, industry and government began addressing these concerns. At the end, what makes IoT exciting is that we do not yet know the exact use cases which would have the ability to significantly influence our lives.

Originality/value

This survey provides a comprehensive literature review on IoT techniques, operating systems and trends.

Details

Library Hi Tech, vol. 38 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 9 February 2021

Himmet Karadal and A. Mohammed Abubakar

The authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are…

Abstract

Purpose

The authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are often oversimplified and generalized. This research fills a gap in the literature by highlighting the dynamics between the IoT skills and needs satisfaction for IoT devices and seeks to expound on the variations among generational cohorts using the self-determination theory.

Design/methodology/approach

Survey data were obtained from 1,245 residents and IoT device users in Aksaray, Turkey. The obtained data were analyzed with variance-based structural equation modeling and the analysis of variance technique.

Findings

The results demonstrate that IoT skills determine the needs satisfaction for IoT devices. Generation Xers, Generation Yers and Generation Zers are distinct cohorts with respect to the IoT skills and needs satisfaction for IoT devices.

Originality/value

Collectively, this study provides empirical evidence that informs the debate about the contributions of IoT skills and generational cohorts on needs satisfaction for IoT devices. The implications and several avenues for future theory-building research are discussed.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0144

Details

Online Information Review, vol. 45 no. 5
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 12 August 2021

Mahdi Nasrullah Al-Ameen, Apoorva Chauhan, M.A. Manazir Ahsan and Huzeyfe Kocabas

With the rapid deployment of internet of things (IoT) technologies, it has been essential to address the security and privacy issues through maintaining transparency in data…

Abstract

Purpose

With the rapid deployment of internet of things (IoT) technologies, it has been essential to address the security and privacy issues through maintaining transparency in data practices. The prior research focused on identifying people's privacy preferences in different contexts of IoT usage and their mental models of security threats. However, there is a dearth in existing literature to understand the mismatch between user's perceptions and the actual data practices of IoT devices. Such mismatches could lead users unknowingly sharing their private information, exposing themselves to unanticipated privacy risks. The paper aims to identify these mismatched privacy perceptions in this work.

Design/methodology/approach

The authors conducted a lab study with 42 participants, where they compared participants’ perceptions with the data practices stated in the privacy policy of 28 IoT devices from different categories, including health and exercise, entertainment, smart homes, toys and games and pets.

Findings

The authors identified the mismatched privacy perceptions of users in terms of data collection, sharing, protection and storage period. The findings revealed the mismatches between user's perceptions and the data practices of IoT devices for various types of information, including personal, contact, financial, heath, location, media, connected device, online social media and IoT device usage.

Originality/value

The findings from this study lead to the recommendations on designing simplified privacy notice by highlighting the unexpected data practices, which in turn, would contribute to the secure and privacy-preserving use of IoT devices.

Details

Information & Computer Security, vol. 29 no. 4
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 2 June 2020

Patrícia R. Sousa, João S. Resende, Rolando Martins and Luís Antunes

The aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving…

Abstract

Purpose

The aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving approaches and its applications to healthcare scenarios.

Design/methodology/approach

The paper describes the most relevant IdM systems focusing on privacy preserving with or without blockchain and evaluates them against ten selected features grouped into three categories: privacy, usability and IoT. Then, it is important to analyze whether blockchain should be used in all scenarios, according to the importance of each feature for different use cases.

Findings

Based on analysis of existing systems, Sovrin is the IdM system that covers more features and is based on blockchain. For each of the evaluated use cases, Sovrin and UniquID were the chosen systems.

Research limitations/implications

This paper opens new lines of research for IdM systems in IoT, including challenges related to device identity definition, privacy preserving and new security mechanisms.

Originality/value

This paper contributes to the ongoing research in IdM systems for IoT. The adequacy of blockchain is not only analyzed considering the technology; instead the authors analyze its application to real environments considering the required features for each use case.

Details

Journal of Enterprise Information Management, vol. 35 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 3 July 2020

Azra Nazir, Roohie Naaz Mir and Shaima Qureshi

The trend of “Deep Learning for Internet of Things (IoT)” has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud…

273

Abstract

Purpose

The trend of “Deep Learning for Internet of Things (IoT)” has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource giant. But this picture leads to underutilization of ever-increasing device pool of IoT that has already passed 15 billion mark in 2015. Thus, it is high time to explore a different approach to tackle this issue, keeping in view the characteristics and needs of the two fields. Processing at the Edge can boost applications with real-time deadlines while complementing security.

Design/methodology/approach

This review paper contributes towards three cardinal directions of research in the field of DL for IoT. The first section covers the categories of IoT devices and how Fog can aid in overcoming the underutilization of millions of devices, forming the realm of the things for IoT. The second direction handles the issue of immense computational requirements of DL models by uncovering specific compression techniques. An appropriate combination of these techniques, including regularization, quantization, and pruning, can aid in building an effective compression pipeline for establishing DL models for IoT use-cases. The third direction incorporates both these views and introduces a novel approach of parallelization for setting up a distributed systems view of DL for IoT.

Findings

DL models are growing deeper with every passing year. Well-coordinated distributed execution of such models using Fog displays a promising future for the IoT application realm. It is realized that a vertically partitioned compressed deep model can handle the trade-off between size, accuracy, communication overhead, bandwidth utilization, and latency but at the expense of an additionally considerable memory footprint. To reduce the memory budget, we propose to exploit Hashed Nets as potentially favorable candidates for distributed frameworks. However, the critical point between accuracy and size for such models needs further investigation.

Originality/value

To the best of our knowledge, no study has explored the inherent parallelism in deep neural network architectures for their efficient distribution over the Edge-Fog continuum. Besides covering techniques and frameworks that have tried to bring inference to the Edge, the review uncovers significant issues and possible future directions for endorsing deep models as processing engines for real-time IoT. The study is directed to both researchers and industrialists to take on various applications to the Edge for better user experience.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 13 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 23 February 2021

Manuel Alexander Silverio-Fernández, Suresh Renukappa and Subashini Suresh

The decentralisation of information and high rate of mobile content access in the construction industry provide an ideal scenario for improvement of processes via the…

Abstract

Purpose

The decentralisation of information and high rate of mobile content access in the construction industry provide an ideal scenario for improvement of processes via the implementation of the paradigm of the Internet of Things (IoT). Smart devices are considered as the objects interconnected in the IoT; therefore, they play a fundamental role in the digital transformation of the construction industry. Currently, there is a lack of guidelines regarding the implementation of smart devices for digitalisation in the construction industry. Consequently, this paper aims to provide a set of guidelines for implementing smart devices in the construction industry.

Design/methodology/approach

An empirical study was performed in the UK and the Dominican Republic (DR). Following a systematic approach, qualitative data collection and analysis was performed based on semi-structured interviews involving professionals from construction companies in the UK and the DR. Interviews were recorded and subsequently transcribed using Microsoft Word and exported to the software NVivo, where the software was used to find common thematic nodes across all interviews.

Findings

The findings encompass drivers, challenges and critical success factors (CSFs) for implementing smart devices in construction project. For both countries, the top five CSFs were leadership, staff training, culture, technology awareness and cost of implementation. These findings were used to develop a strategic framework for implementing smart devices in construction companies. The framework establishes the actors, elements and actions to be considered by construction companies when implementing smart devices.

Originality/value

This paper provides a richer insight into the understanding and awareness of implementing smart devices. A strategic framework for implementing smart devices in the construction industry and providing guidelines for adopting smart devices in construction projects was developed and validated. This study provides a better understanding of the key factors to be considered by construction companies when embedding smart devices into their projects.

Details

Construction Innovation , vol. 21 no. 2
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 9 November 2020

Ameer Alhasan, Lukman Audah, Ishaq Ibrahim, Ammar Al-Sharaa, Ali Saadon Al-Ogaili and Jabiry M. Mohammed

Several countries have been using internet of things (IoT) devices in the healthcare sector to combat COVID-19. Therefore, this study aims to examine the doctors’ intentions to…

Abstract

Purpose

Several countries have been using internet of things (IoT) devices in the healthcare sector to combat COVID-19. Therefore, this study aims to examine the doctors’ intentions to use IoT healthcare devices in Iraq during the COVID-19 pandemic.

Design/methodology/approach

This study proposed a model based on the integration of the innovation diffusion theory (IDT). This included compatibility, trialability and image and a set of exogenous factors such as computer self-efficacy, privacy and cost into the technology acceptance model comprising perceived ease of use, perceived usefulness, attitude and behavioral intention to use.

Findings

The findings revealed that compatibility and image of the IDT factors, have a significant impact on the perceived ease of use, perceived usefulness and behavioral intention, but trialability has a significant impact on perceived ease of use, perceived usefulness and insignificant impact on behavioral intention. Additionally, external factors such as privacy and cost significantly impacted doctors’ behavioral intention to use. Moreover, doctors’ computer self-efficacy significantly influenced the perceived ease of use, perceived usefulness and behavioral intention to use. Furthermore, perceived ease of use has a significant impact on perceived usefulness and attitude, perceived usefulness has a significant impact on attitude, which, in turn, significantly impacting doctors' behavior toward an intention to use.

Research limitations/implications

The limitations of the present study are the retractions of the number of participants and the lack of qualitative methods.

Originality/value

The finding of this study could benefit researchers, doctors and policymakers in the adaption of IoT technologies in the health sectors, especially in developing counties.

Details

International Journal of Pervasive Computing and Communications, vol. 18 no. 5
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 16 August 2021

Vaidik Bhatt and Samyadip Chakraborty

The purpose of the study was to empirically validate the linkages between IoT adoption and how it overarched influenced the patient care service engagement. This contributes to…

Abstract

Purpose

The purpose of the study was to empirically validate the linkages between IoT adoption and how it overarched influenced the patient care service engagement. This contributes to the body of knowledge and helps hospital managers to understand the relationship and relevance of IoT adoption; otherwise healthcare sector are late movers towards technology adoption. This gives a nuanced framework towards establishing empirically validated framework which will motivate healthcare services providers to be motivated to adopt and implement IoT enabled care delivery. The physician patient interaction and alignment during decision making will foster positive word of mouth, superior care service and reduce extra overheads for healthcare providers without compromise or rather with increment in service delivery proposition.

Design/methodology/approach

The study theoretically and empirically describes that with the adoption of internet of things (IoT) devices in health care, better services can be provided to patients by using partial least square – structure equation modelling-based robust technique and explains the better understanding of the health-care process with the help of information pervasiveness, physician-patient orientation and improved patient and physician involvement in the decision-making process.

Findings

This study shows that wearable IoT device adoption in health-care service delivery opens new opportunities and disrupts the conventional and traditional way of health-care service delivery by empowering the patient to take part in decision-making and enhancing their engagement in health-care service delivery.

Research limitations/implications

The study might influence by generalizability. Perception-based cross-examination knowledge from the patient’s perspective. It is likely that patients who use these devices will grow accustomed to using them and become more capable of using them. Thus, time-series tests have not been used to catch enhanced skills. New patients’ experiences will be altered over time. Regardless, non-response bias and traditional process bias received excessive interest.

Practical implications

The study aims at unravelling how the adoption of IoT enabled practices and usage of IoT devices bolsters the available data points in the context of healthcare especially with respect to patient care delivery. The study conceptualizes and empirically validates how the usage of IoT interface enabled technology enables better patient treatment and caregiver participation. The study puts forth a nuanced understanding regarding how pervasively available ubiquitous care information fosters shared decision making. This study further emphasizes that importance of ensuring a reliable computing environment devoid of privacy and security risks. The study attempts at Emphasizing empirically how the enhanced information pervasiveness catapults the patient-provider interactions, through health data exchange. Highlighting the importance of search feature in cloud storage and recovery mechanisms. The study not only fulfills the overarching linkage between enhanced service engagement with IoT adoption, it provides a mental map and ready to refer framework for hospital and healthcare experts to refer to, which prescribes thar care providers must build new methods aimed at empowerment of patients to participate and take more inclusive role. This unique confluence between patients and physicians will unravel the sync; helping not only avoid costly decision errors, but also improve patient care delivery environment. Patients should be permitted to participate in decision-making,inspire patients to be participatory.

Originality/value

The study efforts to empirically investigate and discover the link between how wearable sensor-based IoT enhances health-care service engagement is underway. Using primary data this linkage validation allows the community and readers at large to gain a nuanced understanding of how superior interaction is enabled by a digital-health-care process with the help of IoT-enabled information pervasiveness, physician-patient orientation and empowered involvement.

Details

Journal of Science and Technology Policy Management, vol. 14 no. 1
Type: Research Article
ISSN: 2053-4620

Keywords

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