Challenges of Smart Industries – Privacy and payment in Visible versus Unseen Internet

Cellary, Wojciech; Rykowski, Jarogniew

doi:10.1016/j.giq.2015.08.005

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…(2015), the emergence of the IoT offers solutions to achieve real-time visibility and information sharing, as well as appropriate level of intelligence; and enhancing the effectiveness and efficiency of sharing physical assets and services. Such studies document enhancing the performance with the help of third party logistics providers (Chow et al ., 2007), and automated collection and distribution of production data (Chen et al ., 2012), but also the diverse challenges in supply chains (Cellary and Rykowski, 2015), in their visibility (Geerts and ÖLeary, 2014) and in maximizing revenue (Marentakis and Emiris, 2010). We label the second group as Industry collaboration business models.…”

Section: Systematic Literature Review On Internet Of Things Ecosystems and Business Modelsmentioning

confidence: 99%

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

Leminen

Rajahonka²,

Westerlund

et al. 2018

JBIM

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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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Section: Systematic Literature Review On Internet Of Things Ecosystems and Business Modelsmentioning

confidence: 99%

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

Leminen

Rajahonka²,

Westerlund

et al. 2018

JBIM

View full text Add to dashboard Cite

show abstract

“…This can be viewed as intrusive by residents, their family, and caregivers (Etemad‐Sajadi & Gomes Dos Santos, 2019; Yao et al, 2019). Much of it also remains entirely unseen (Cellary & Rykowski, 2018), which complicates user understanding of data collection and its use. Balancing resident privacy with the benefits of SHT is challenging, as increasing privacy results in data utility tradeoffs (Chamikara et al, 2019).…”

Section: Conflicts Among Stakeholdersmentioning

confidence: 99%

Smart home technology: Challenges and opportunities for collaborative governance and policy research

Mallinson

Shafi

2022

Review of Policy Research

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Developing and developed nations face demographic challenges in the coming decades. Aging populations are expected to strain health resources and social safety nets.Smart home technology (SHT) is touted as a means for simultaneously improving quality of life and independence, while also reducing the long-term costs of caring for an aging population. SHT also presents myriad governance and policy challenges, especially the protection and use of vast amounts of patient data. Alas, the governance and policy aspects of SHT research have been largely peripheral. The aims of this review are to cogently present the governance benefits and challenges of SHT and prompt greater engagement by policy scholars in myriad unanswered research questions. Specifically, it uses the collaborative governance framework to identify opportunities for, and barriers to, forward-thinking public and private collaboration. Research engagement by policy researchers is vital for effective governing of this burgeoning sector.

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“…Another problem is the lack of awareness of the information volume shared with others. Cellary and Rykowski (2015) distinguish financial transactions occurring within the Visible versus the Invisible Internet. Substantial differences in the functioning and sharing information influenced this of classification.…”

Section: Concept Of Privacy In Electronic Payment Systemsmentioning

confidence: 99%

“…In order to provide personalized services that fully meet the needs of an individual, it is necessary to collect a large amount of private information. In an effort to reach a compromise between personalization and privacy, Cellary and Rykowski (2015) propose a license-plate approach. Similar to the vehicle authentication in a smart environment, the license -plate approach assumes that a trusted third-party issues digital tags, as public administration offices do in the real world.…”

Section: Concept Of Privacy In Electronic Payment Systemsmentioning

confidence: 99%

Loss of privacy in electronic payment systems

Pešterac¹,

Tomić²

2020

Anali Ekon fak Subotica

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The emergence of new information technologies, such as the Internet of Things, the fifth generation of mobile Internet, artificial intelligence, Big Data, machine learning and blockchain, has led to significant changes in the social and business environment. The potential for exponential growth in such conditions is also recognized in the field of electronic payment systems. The development of the Internet of Things, as a global technical infrastructure that connects objects by adding microprocessors and communications software to them, has become an important basis for the further progress of electronic payment systems. In the process of further improvements, the system faces the great challenge of protection against the unauthorized use, modification or destruction of data. An even greater challenge is the potential abuse of users' personal data by business entities or government agencies. The paper focuses on the challenges of protecting the privacy of users of electronic payment systems in a smart environment.

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Challenges of Smart Industries – Privacy and payment in Visible versus Unseen Internet

Cited by 9 publications

References 5 publications

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

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

Smart home technology: Challenges and opportunities for collaborative governance and policy research

Loss of privacy in electronic payment systems

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