Clearing the smoke: The changing identities and work in firefighting

The impact of computing devices on the nature of work has been a long-standing topic of inquiry. Removing the boundaries of traditional corporate organizations, the evolution from fixed ICT to mobile IoT has enabled a technology driven future, taking transformative technology off the desk and placing it in the field. The exponential increase, in mobility and reduction in cost have expanded accessibility to whole new categories of work including emergency response, manufacturing, and construction. There is a need to revitalize organizational studies alongside emerging technologies as new structures and environments make the kinds of initial questions in organizational studies relevant again. We present a qualitative investigation examining the implementation of a wearable device into two fire departments in the Southeastern United States. Our analysis demonstrates the importance of understanding how these types of new digital technologies impact organizations and shape how we educate and train the next generation workforce.M.S

Institutional incentives in circular economy transition: The case of material use in the Dutch textile industry

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.The aim of this paper is to gain insight into how requirements for transitioning to circular economy creates new organizational forms in inter-firm collaborations, and ultimately how they stimulate the emergence of new institutions enhancing sustainability. Two strands of literature, one on circular economy and one on institutional analysis, provide the theoretical background for this research. Currently a clearly formulated and unified theory on the institutions of circular economy is lacking. Therefore this research compares and contrasts empirical evidence from cases derived from the textile industry in The Netherlands, and concepts derived from institutional analysis and literature on circular economy to inductively build a cohesive conceptual framework. Using information from cases we identified two pathways to transition into circular economy and to manage circular material flows. We define these pathways Status Quo arrangements (SQ), when firms focus on optimizing up-cycling technologies and infrastructure in their circular relations and collaborations, and Product as Service arrangements (PAS), to indicate a focus on providing products in service contracts. Chain coordination, contracting, and financial mechanisms were identified as key organizational elements for creating new pathways to transition into circular materials flows. However in analyzing these elements we also highlight differences between SQ and PAS arrangements. SQ arrangements may have implications at the level of formal rules, for example by creating a new industry standards for up-cycled fabrics. PAS arrangements may have wider implications, for example by reshaping ownership in service contracts and creating cascading activities. Moving ownership to the supply chain will result in increased responsibility for materials and will create an incentive for improving quality of products, including their environmental performance. This is expected to generate positive socio-environmental impacts at a system level as well. Moreover PAS arrangements may have bottom up effects at a formal institutional level, resulting in alteration and creation of formal rules, for example in terms of new approaches to the ownership of materials

Wearable Medical Devices in Use: A Study of Insulin Pump Adoption by Young Diabetic Patients In Saudi Arabia

his research belongs to the multi-disciplinary research community concerned with wearable medical technology and branches of sociology and psychology that study its impact. It addresses a real-life problem of Insulin Pump (IP) adoption by Children. This is important for Saudi Arabia, since it is among the top five countries in the world with the highest rate of diabetes. Theories of reasoned action (TRA), technology acceptance model (TAM) and health belief models (HBM) for some of the cases predict that the perception of benefits is the main motivator for the proper use of the technology. This is often not realised in practice, because the main theoretical focus is on the benefits of IP, specifically in the pre-adoption phase. In contrast, this research project is focused on the reasons why some diabetic children patients misuse the IP in spite of the initial perception of its benefits. To find answers to this research question, an empirical study of adoption of IP by children and young adults in Saudi Arabia was carried out. A novel analytical framework was developed in this study in order to unify different perspectives and expectations of the benefits of the IP for a diabetic child and young adult. The analytic framework is applied using empirical study of diabetic children struggling with the IP in the course of the adoption process, with main emphasis on the post-adoption phase. Research methods were predominantly qualitative, involving in-depth interviews and case studies. In the discovery phase, data was collected through interviews of medical personnel and case studies with children and their parents. The analysis was focused on different interactions between medical personnel, patients and their caregivers, the discourses among them in order to explicate the contradictions between them. The main findings are that contradictions show different expectations between the different actors. The medical personnel used medical reasons, whereas the caregiver focus on emotional aspects. However, the diabetic child was concerned with the life-style changes that the use of the IP caused. The different motivations create misunderstandings and result in resistance towards the IP. Age-related and culture-specific factors were also considered, but further research is needed to ensure that the findings can be generalised to other devices, age-groups, cultures and different social contexts. Such studies would also refine the analytical framework and enrich research methodology to make generalisations possible

COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalised medicine

A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches in different regions, using medical literature, academic literature, news articles and other reliable data sources. Public responses of mistrust about privacy data misuse differ across countries, depending on the chosen public communication strategy

Impact of COVID-19 on iot adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT

COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic's potential impact on the adoption of the Internet of Things (IoT) in various broad sectors namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.Comment: This is the version accepted at Sensors 202

IoT Privacy and Security: Challenges and Solutions

Privacy and security are among the significant challenges of the Internet of Things (IoT). Improper device updates, lack of efficient and robust security protocols, user unawareness, and famous active device monitoring are among the challenges that IoT is facing. In this work, we are exploring the background of IoT systems and security measures, and identifying (a) different security and privacy issues, (b) approaches used to secure the components of IoT-based environments and systems, (c) existing security solutions, and (d) the best privacy models necessary and suitable for different layers of IoT driven applications. In this work, we proposed a new IoT layered model: generic and stretched with the privacy and security components and layers identification. The proposed cloud/edge supported IoT system is implemented and evaluated. The lower layer represented by the IoT nodes generated from the Amazon Web Service (AWS) as Virtual Machines. The middle layer (edge) implemented as a Raspberry Pi 4 hardware kit with support of the Greengrass Edge Environment in AWS. We used the cloud-enabled IoT environment in AWS to implement the top layer (the cloud). The security protocols and critical management sessions were between each of these layers to ensure the privacy of the users’ information. We implemented security certificates to allow data transfer between the layers of the proposed cloud/edge enabled IoT model. Not only is the proposed system model eliminating possible security vulnerabilities, but it also can be used along with the best security techniques to countermeasure the cybersecurity threats facing each one of the layers; cloud, edge, and IoT

Are Those Steps Worth Your Privacy? Fitness-Tracker Users' Perceptions of Privacy and Utility

Fitness trackers are increasingly popular. The data they collect provides substantial benefits to their users, but it also creates privacy risks. In this work, we investigate how fitness-tracker users perceive the utility of the features they provide and the associated privacy-inference risks. We conduct a longitudinal study composed of a four-month period of fitness-tracker use (N = 227), followed by an online survey (N = 227) and interviews (N = 19). We assess the users’ knowledge of concrete privacy threats that fitness-tracker users are exposed to (as demonstrated by previous work), possible privacy-preserving actions users can take, and perceptions of utility of the features provided by the fitness trackers. We study the potential for data minimization and the users’ mental models of how the fitness tracking ecosystem works. Our findings show that the participants are aware that some types of information might be inferred from the data collected by the fitness trackers. For instance, the participants correctly guessed that sexual activity could be inferred from heart-rate data. However, the participants did not realize that also the non-physiological information could be inferred from the data. Our findings demonstrate a high potential for data minimization, either by processing data locally or by decreasing the temporal granularity of the data sent to the service provider. Furthermore, we identify the participants’ lack of understanding and common misconceptions about how the Fitbit ecosystem works

The Web at 25 in the U.S.: Digital Life in 2025

This report is part of an effort by the Pew Research Center's Internet Project in association with Elon University's Imagining the Internet Center to look at the future of the Internet, the Web, and other digital activities. This is the first of eight reports based on a canvassing of hundreds of experts about the future of such things as privacy, cybersecurity, the "Internet of things," and net neutrality. In this case we asked experts to make their own predictions about the state of digital life by the year 2025. We will also explore some of the economic change driven by the spectacular progress that made digital tools faster and cheaper. And we will report on whether Americans feel the explosion of digital information coursing through their lives has helped them be better informed and make better decisions