This study attempts to capture a holistic view of the Artificial Intelligence (AI) tools and applications for elderly healthcare to understand the impact of information and communication technologies on the quality of life for elderly people. The empirical material is collected through a literature review. Machine learning (ML), Natural language processing (NLP), Deep learning models, diagnosis and treatment applications, administrative applications, and Internet of things (IOT) are considered as the important technologies used for AI-based elderly healthcare solutions. This research work contributes to the existing literature by extracting important themes from reviewed literature such as Smart homes for elderly, AI-based health monitoring technologies, wearable devices, gamification technologies in elderly care, Robotic systems, AI for privacy protection of elderly app users and Ethical aspects of AI technologies for elderly. Additionally, a general scarcity of research on the topics of privacy protection and ethical aspects of AI technologies for elderly and healthcare personnel is noticed.

Once, system thinking was about singular systems. Today we exist in a far more complex world, with systems interacting with systems, directly or indirectly. Information security, therefore, must involve all systems in the chain. New legal European regulations such as Guidelines for Data Protection Regulation demand that the ICT/IT world must include systems outside the organizational border to be involved and accounted for under enterprise information security umbrella. Recent mega hacks analyzed in this article point to the fact that a systems thinking perspective is needed to create modern governance, risk, and compliance security model framework. This research work puts forth a conceptual model based on Viable System Model appropriate for a major global information security restructuring. A motive for VSM is grounded in that it works fine with securing modern laws like GDPR and CCPA in supporting a needed enterprise perspective.

Online information security labs intended for training and facilitating hands-on learning for distance students at master’s level are not easy to develop and administer. This research focuses on analyzing the results of a DSR project for design, development, and implementation of an InfoSec lab. This research work contributes to the existing research by putting forth an initial outline of a generalized model for design theory for InfoSec labs aimed at hands-on education of students in the field of information security. The anatomy of design theory framework is used to analyze the necessary components of the anticipated design theory for InfoSec labs in future.

Electronic health record (EHR) is a ubiquitous e-health tool that includes both Electronic Medical Record (EMR) and personal health record (PHR). EHR is aimed to be a versatile digital tool that can benefit both caregivers and patients through Quick and easy access to medical information at any time from hospitals or primary care units. However, the fact that the bulk of core records, including self- service data for patients, is only available in Swedish may limit the scope, availability and feasibility of self service through EHRs access for refugee patients who are non-Swedish speakers. Research results suggest that the EHRs should be meaningful, modified, and improved based on patient’s needs, by actively involving patients in their healthcare. The issues diagnosed in this research work such as EHR an information sharing communication System, lack of Information about using EHR, language barrier a hinderance in using EHRs, EHRs as medical recommendation system, better instructions about EHRs, presenting medical information in diagnosis part in EHRs in other languages and presenting medical information in diagnosis part in EHRs by sound are very important to address non-Swedish speaking refugee patients’ needs to use and benefit from EHRs. 

Internet of Things (IoT) is a technology paradigm comprising physical objects such as smart watches embedded with sensors, software, and networking technologies that are used to connect and exchange data with other devices such as smart phones and systems over the Internet. Smart watches and other wearables are emerging at a rapid speed, and they have engaged the users in redefining their interaction with mobile and pervasive technologies by creating an ecosystem of relevant devices. This research work focused on the issue of value co-creation and better understanding of smart watch consumer’s adoption and appropriation process which can highlight the factors motivating or demotivating the consumers to use the smart watches to achieve different objectives. Through a qualitative research method, empirical data was collected by observation, written questionnaire, and interviews. Using a thematic analysis scheme, the following four themes were generated from the collected data: (1) Getting motivated and maintaining motivation, (2) Usefulness – value-in-use and value-in context, (3) Technical issues with smart watch resources, and (4) Information security and privacy concerns about smart technologies.

With the growing number of applications of artificial intelligence such as autonomous cars or smart industrial equipment, the inaccuracy of utilized machine learning algorithms could lead to catastrophic outcomes. Human-in-the-loop computing combines human and machine intelligence resulting in a hybrid intelligence of complementary strengths. Whereas machines are unbeatable in logic and computation speed, humans are contributing with their creative and dynamic minds. Hybrid intelligent systems are necessary to achieve high accuracy and reliability of machine learning algorithms. In a design science research project with a Swedish manufacturing company, this paper presents an application of human-in-the-loop computing to make operational processes more efficient. While conceptualizing a Smart Power Distribution for electric industrial equipment, this research presents a set of principles to design machine-learning algorithms for hybrid intelligence. From being AI-ready as an organization to clearly focusing on the customer benefits of a hybrid intelligent system, designers need to build and strengthen the trust in the human-AI relationship to make future applications successful and reliable. With the growing trends of technological advancements and incorporation of artificial intelligence in more and more applications, the alliance of humans and machines have become even more crucial.

Blockchain is a relatively new technology which needs to comply with the General Data Protection Regulation (GDPR) when processing personal data. In this study, the researchers focus on the issue of whether or not a blockchain that processes personal data can comply with the GDPR. Subsequently, it is important to discuss the advantages and disadvantages of using a blockchain from a civilian’s point of view, since it is their personal data that will be processed. Finally, the results of a literature research and multiple interviews, show that there is no unequivocal answer to the compliancy issue regarding blockchains. This study contributes by extending the ongoing discussion on the topic of GDPR compliance on blockchain by showing that two different tendencies exist: purists and fundamentalists. Purists believe that public blockchains are the only ‘real’ blockchains and because of the characteristics those possess, it can never comply with the GDPR. Furthermore, all technical measures that try to comply with the principles of the GDPR will compromise the very existence of that blockchain. On the other hand, fundamentalists argue that it is possible to take certain technical measures to meet the requirements of the GDPR and these will not jeopardize the blockchain.

This study focuses on medication management robotic system (MMR) in home health care, which is part of a complex medication management system that in addition to patients, their families, care personnel, municipal health and social care managers, and technology also includes prescribers and dispensing pharmacies. Successful medication management requires communication, coordination and effective information sharing among the network actors and across different settings. Information ecology perspective is used to describe and understand the whole system, the network of people, technology, and information systems, as well as the impact of MMR system on patients and caregivers’ relationships, roles, and responsibilities. This qualitative case study aimed to explore the impact of implementation and deployment of MMR system, as part of a pilot project in municipal eldercare in the south of Sweden. This research work elucidates the holistic perspective of medication management system for home care services, and highlights the processes and situational complexities, as well as the role of the personnel and key stakeholders involved in these processes. This research work is in line with UN’s sustainable development goals to develop a reliable, sustainable and resilient regional infrastructure, to support human well-being, with a focus on affordable and equitable access for all.

Making communities safer requires better tools to identify, quantify, and manage risks. Among the most important tools are stress tests, originally designed to test the risk posed by nuclear power plants. A complementary harmonized multilevel stress test for nonnuclear civil infrastructure systems against natural hazards is proposed. Each stress test level is characterized by a different scope and a different level of risk analysis complexity to suit different civil infrastructure systems, different hazards, and different risks. The stress test consists of the following phases. First, the goals and the methods for the risk analysis are defined. The test is then performed at the component and system levels, followed by a verification of the findings. A penalty system is defined to adjust the output of the risk assessment according to the limitations of the risk analysis methods used. The adjusted risk assessment results are then passed to a grading system to determine the outcome of the stress test. Finally, the risk assessment results are reported, and the stress test outcomes are communicated to stakeholders and authorities.

Due to the boom in the web industry and growing trends in online shopping, there is an increase in the demand for skilled work force to develop and manage the usable interactive web sites and web content for several companies across the world. Many students want to equip themselves with required web development knowledge by participating in courses from distance. Information and communication technologies (ICT) based on internet have opened up new potentials in higher education. To keep up with the influx of students several universities offer some coursework online and some have converted complete programs of study in order to make them entirely available online to campus as well as distance students (including professionals) at the same time. Distance education always have unique requirements. In this article, I reported the design of a course and an online lab for web development and management based on initial design principles derived from kernel theories such as Conversational Framework, Constructive Alignment and Personalized System of Instruction. The overall research was conducted using the action design research approach. The iterative cycles and critical reflections during the building, intervention and evaluation process helped to refine the initial design principles. The study contributes to the researchers and practitioners community by providing design principles and an online Lab model that utilizes state-of-the art technology for mixed classrooms.