Internet of Things devices appropriation process: The Dynamic Interactions Value Appropriation (DIVA) framework

Benamar, Lamya; Balagué, Christine; Zhong, Zhao

doi:10.1016/j.technovation.2019.06.001

Cited by 17 publications

(14 citation statements)

References 54 publications

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“…The low frequency use among patients with CD found in our study suggests two possible interpretations with regard to the question of the appropriation of technologies. The first is related to the real added value of such devices in the case of CD, which represents a critical aspect in appropriating technology in general and IoT devices in particular 75 . Second, these results may indicate that some CD users are still in an early phase of the appropriation of the most recent digital technologies.…”

Section: Discussionmentioning

confidence: 98%

Digital health and management of chronic disease: A multimodal technologies typology

Vansimaeys

Benamar

Balagué

2021

Health Planning & Management

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This cross‐sectional descriptive study aims to (1) describe the current digital technology (DT) use of people with chronic diseases (CD) by identifying different user profiles and (2) determine whether those profiles have specific characteristics regarding health‐related variables and patient–doctor relationship quality (RQ). An online questionnaire assessing the uses of multiple types of DT (the Internet, mobile applications and connected devices) and several dimensions related to health and patient–doctor RQ was completed by 954 individuals living with CD. DT user groups were obtained by k‐means cluster analysis and then compared using Mann–Whitney tests. The results show three profiles of DT users: (1) hyperconnected (8.9%, regular users of all DTs), (2) biconnected (19.1%, regular users of the Internet and mobile apps) and (3) hypoconnected (72%, casual users of the Internet only). The hyperconnected and biconnected groups are more empowered, more knowledgeable about their treatment and more committed to their doctors than the hypoconnected group. Nonadherence to treatment, health motivations, self‐efficacy for health management and the trust dimension of the patient–doctor RQ did not differ between groups. We conclude by discussing the low use of the most recent technologies in the CD population, although these technologies seem to provide access to health information that empowers patients and leads to a better relationship with their doctors.

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Section: Discussionmentioning

confidence: 98%

Digital health and management of chronic disease: A multimodal technologies typology

Vansimaeys

Benamar

Balagué

2021

Health Planning & Management

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“…The evolution of technologies is driven by science that is often viewed as a self-organizing system based on various scientific and social changes (Börner, 2011;Sun et al, 2013) 2 . Scholars maintain that the evolution of technologies is driven by the interaction between inter-related technological systems and scientific fields that generate co-evolutionary pathways and technological change (Benamar et al, 2020;Coccia and Watts, 2020;Coccia et al, 2021;Jovanovic et al, 2021). Quantum technology has many characteristics of general-purpose technologies (GPTs) because it has the potential to make prior technical knowledge obsolete and sustain technological, industrial, economic and social change (Sahal, 1981;Bresnahan, 2010).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

New Directions in Quantum Computing for a Tectonic Shift of Technological Change

Coccia

2021

Preprint

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Quantum computer and computing are areas of theoretical and experimental research having a phase of growth that can generate a tectonic shift of the evolution of technology in society. The scientific and technological development in quantum research is due to a range of driving technological trajectories that are growing to solve more and more complex problems. The goal of this study is to detect emerging research fields and technological trajectories of quantum computing to explain and generalize, whenever possible, the technological characteristics of evolutionary dynamics in science and technology. Database of Scopus concerning documents and patents is used for statistical analyses to determine the growth of research fields and technological trajectories having a high potential impact in science and society. Results suggest that quantum research is driven by emerging scientific and technological trajectories given by Qubits, Quantum optics, Quantum circuit, Semiconductor quantum dots and quantum information. Overall, this study explains, whenever possible, emerging research fields and technological technologies in quantum computing that support scientific and technological change directed to future economic and social progress. Finally, technology analysis of this study can help policymakers to support the allocation of resources for all areas of Quantum Science having a high potential of growth and positive impact in science and society.

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“…The devices vary from small devices with low processing power (such as watches) to large devices high processing power, such as mobile devices. Using IoT devices to perform financial transactions is vital, especially in light of the goal of shifting toward smart cities [29].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Fraud Detection in Credit Cards using Logistic Regression

Alenzi¹,

Aljehane²

2020

IJACSA

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Due to the increasing number of customers as well as the increasing number of companies that use credit cards for ending financial transactions, the number of fraud cases has increased dramatically. Dealing with noisy and imbalanced data, as well as with outliers, has accentuated this problem. In this work, fraud detection using artificial intelligence is proposed. The proposed system uses logistic regression to build the classifier to prevent frauds in credit card transactions. To handle dirty data and to ensure a high degree of detection accuracy, a pre-processing step is used. The pre-processing step uses two novel main methods to clean the data: the mean-based method and the clustering-based method. Compared to two well-known classifiers, the support vector machine classifier and voting classifier, the proposed classifier shows better results in terms of accuracy, sensitivity, and error rate.

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Internet of Things devices appropriation process: The Dynamic Interactions Value Appropriation (DIVA) framework

Cited by 17 publications

References 54 publications

Digital health and management of chronic disease: A multimodal technologies typology

Digital health and management of chronic disease: A multimodal technologies typology

New Directions in Quantum Computing for a Tectonic Shift of Technological Change

Fraud Detection in Credit Cards using Logistic Regression

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