The goose that laid the golden eggs: personal data and the Internet of Things

2019 ◽  
Vol 40 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Peter Buell Hirsch
Keyword(s):  
Internet Of Things ◽  
Data Privacy ◽  
Social Issues ◽  
Personal Data ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Secondary Sources ◽  
Blockchain Technology ◽  
The Internet Of Things

Purpose This viewpoint is intended to examine the issue of the monetization of personal data and the risks to companies that fail to understand this trend. Design/methodology/approach This paper reviews the recent literature on the use and abuse of personal data to identify relevant trends and issues. Findings It is likely, whether through blockchain technology or some other means, that individual consumers will be able to monetize their data. Research limitations/implications As a review of secondary sources rather than original sources, the findings are anecdotal and not comprehensive. Practical implications In the rapidly changing environment of data privacy and security, one should anticipate that the findings may become outdated by sudden events such as a new global data privacy breach. Social implications Ownership of personal data and its use or abuse is one of the single most important social issues in today’s world, with profound implications for civil society. Originality/value While there have been numerous studies cataloguing attempts to create monetization platforms for consumer data, there are not many studies on the reputational risks for companies in handling data from the Internet of Things.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

Exploring the intellectual cores of the blockchain–Internet of Things (BIoT)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Y.P. Tsang ◽  
C.H. Wu ◽  
W.H. Ip ◽  
Wen-Lung Shiau
Keyword(s):  
Internet Of Things ◽  
Data Privacy ◽  
Technological Development ◽  
Hierarchical Cluster ◽  
Future Trend ◽  
Privacy And Security ◽  
Content Type ◽  
Knowledge Domains ◽  
Blockchain Technology ◽  
Structural Framework

PurposeDue to the rapid growth of blockchain technology in recent years, the fusion of blockchain and the Internet of Things (BIoT) has drawn considerable attention from researchers and industrial practitioners and is regarded as a future trend in technological development. Although several authors have conducted literature reviews on the topic, none have examined the development of the knowledge structure of BIoT, resulting in scattered research and development (R&D) efforts.Design/methodology/approachThis study investigates the intellectual core of BIoT through a co-citation proximity analysis–based systematic review (CPASR) of the correlations between 44 highly influential articles out of 473 relevant research studies. Subsequently, we apply a series of statistical analyses, including exploratory factor analysis (EFA), hierarchical cluster analysis (HCA), k-means clustering (KMC) and multidimensional scaling (MDS) to establish the intellectual core.FindingsOur findings indicate that there are nine categories in the intellectual core of BIoT: (1) data privacy and security for BIoT systems, (2) models and applications of BIoT, (3) system security theories for BIoT, (4) frameworks for BIoT deployment, (5) the fusion of BIoT with emerging methods and technologies, (6) applied security strategies for using blockchain with the IoT, (7) the design and development of industrial BIoT, (8) establishing trust through BIoT and (9) the BIoT ecosystem.Originality/valueWe use the CPASR method to examine the intellectual core of BIoT, which is an under-researched and topical area. The paper also provides a structural framework for investigating BIoT research that may be applicable to other knowledge domains.

scholarly journals DATA PROTECTION CHALLENGES IN THE INTERNET OF THINGS ERA: AN ASSESSMENT OF PROTECTION OFFERED BY PDPA 2010

2019 ◽  
Vol 4 (17) ◽  
pp. 01-12
Author(s):  
Sidi Mohamed Sidi Ahmed ◽  
Sonny Zulhuda
Keyword(s):  
Internet Of Things ◽  
Data Protection ◽  
Comparative Method ◽  
Personal Data ◽  
The Internet ◽  
Privacy And Security ◽  
Personal Data Protection ◽  
Data Protection Law ◽  
Legal Frameworks ◽  
The Internet Of Things

The Internet of Things (IoT) is an emerging technology of the 21st century. It is described as the first real evolution of the Internet that could positively or negatively affect all aspects of life. The basic idea of the IoT revolves around connecting things and objects (persons, animals, cars, trees, etc.) to the Internet and enabling them to communicate and then process (generate, receive, send, etc.) data about themselves and the environment surrounding them. Without a doubt, the IoT will bring countless benefits and provide timely-data and information about places and objects. However, the IoT, like other technologies, has disadvantages especially in terms of privacy and security of data. Particularly, the IoT might challenge personal data protection law and misgive its ability to effectively stand in the rapid successive technology waves. As the most important law relating to the protection of personal data in Malaysia, the Personal Data Protection Act (PDPA) 2010 could be used as a benchmark for assessing the adequacy of data protection law in the country. Thus, this paper attempts to shed light on data protection challenges in the IoT era and then assess the adequacy of this Act in dealing with those challenges. The paper employs a legal doctrinal method to analyze the legal frameworks relevant to personal data protection. It may also use a comparative method to compare the PDPA with its counterparts in other countries. A study such as this is arguably useful and timely as Malaysia is already embarked in the IoT caravan with the vision of being “the Premier Regional IoT Development Hub.”

scholarly journals Attitudes of Young Consumers on the Security of their Data Collected By Smart Devices in the Age of the Internet of Things

2021 ◽  
Vol 41 (3) ◽  
pp. 21-38
Author(s):  
Beata Kolny
Keyword(s):  
Internet Of Things ◽  
Online Survey ◽  
Personal Data ◽  
Primary Sources ◽  
Smart Devices ◽  
The Internet ◽  
Sources Of Information ◽  
Secondary Sources ◽  
Young Consumers ◽  
The Internet Of Things

Abstract The popularity of smart devices that collect and share data on user behaviour grows every year, and the number of such devices in households is forecast to rise steadily. Therefore, the purpose of this paper is to present the attitudes of young consumers regarding the security of their data collected by smart devices, interconnected via the existing Internet infrastructure or other network technologies within the Internet of Things (IoT) systems. The paper was written based on both secondary and primary sources of information. Secondary sources were used to define the discussed issues related to the Internet of Things and the security of data collected by smart devices. Primary sources, on the other hand, offered direct evidence of the attitudes of young consumers on the security of such data. Direct research was carried out using an online survey carried out in 2021 on a sample of 588 consumers aged 18–34 living in Poland. The results show that more than half of the respondents pay great attention to where the data collected by the devices used in their households is kept and whether such data is safe. In spite of such declarations, more than half of those surveyed have no knowledge about the level of the security of such data. The respondents agreed with the statement that consumers accepted the uncertainty related to the loss of control over their personal data collected by smart devices more quickly than the risk involved in becoming disconnected from them.

Tendencies of development of modern innovative technologies and the digital economy

2018 ◽  
Vol 35 (2) ◽  
pp. 40-47
Author(s):  
S. M. Doguchaeva
Keyword(s):  
Internet Of Things ◽  
Digital Economy ◽  
Digital Transformation ◽  
The Internet ◽  
Successful Development ◽  
Innovative Technologies ◽  
Digital World ◽  
Blockchain Technology ◽  
The Internet Of Things

The era of digital transformation provides the opportunity for leading companies to change priorities - to begin to take care of the support environment using innovative technologies and become a leading creative platform open for innovation. The successful development of the digital world, the blockchain technology, the Internet of things – the mechanism which will change the financial world. 

scholarly journals Personal data and the internet of things

2019 ◽  
Vol 62 (6) ◽  
pp. 32-34 ◽  
Author(s):  
Thomas Pasquier ◽  
David Eyers ◽  
Jean Bacon
Keyword(s):  
Internet Of Things ◽  
Personal Data ◽  
The Internet ◽  
The Internet Of Things

A four-step blueprint for digital reinvention

2016 ◽  
Vol 44 (4) ◽  
pp. 18-25 ◽  
Author(s):  
Saul J. Berman ◽  
Peter J. Korsten ◽  
Anthony Marshall
Keyword(s):  
Internet Of Things ◽  
Design Methodology ◽  
The Internet ◽  
Content Type ◽  
New Ways Of Working ◽  
Partner Relationships ◽  
Strategic Focus ◽  
The Internet Of Things ◽  
Practical Implications ◽  
Customer Need

Purpose Digital reinvention helps organizations create unique, compelling experiences for their customers, partners, employees and other stakeholders. Design/methodology/approach Digital reinvention combines the capabilities of multiple technologies, including cloud, cognitive, mobile and the Internet of Things (IoT) to rethink customer and partner relationships from a perspective of fundamental customer need, use or aspiration. Findings The most successful digitally reinvented businesses establish a platform of engagement for their customers, with the business acting as enabler, conduit and partner Practical implications For successful digital reinvention, organizations need to pursue a new strategic focus, build new expertise and establish new ways of working. Originality/value The article offers a blueprint for digital reinvention that involves rethinking customer and partner relationships from a perspective of fundamental customer need, use or aspiration.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

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