scholarly journals SHAPES Cyber Secure HealthCare Platform in Digital Environments

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Large Scale ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
Ageing Population ◽  
Security Issues ◽  
Open Platform ◽  
Digital Environments ◽  
Future Society ◽  
Considerable Work

The SHAPES project is an ambitious endeavor that gathers stakeholders from across Europe to create, deploy and pilot at large-scale a EU-standardized open platform incorporating and integrating a broad range of solutions, including technological, organizational, clinical, educational and societal, to enable the ageing population of Europe to remain healthy, active and productive, as well as to maintain a high quality of life and sense of wellbeing for the longest time possible. The research question of this design science research (DSR) is how to build and deploy health and care (H&C) services into a future society in such a way that citizens are able to use them safely in their everyday lives? We found that considerable work is needed to develop the required architecture in smart societies: information architecture, integrations architecture, target architecture, security architecture, and security issues. Service chains must be checked against the architectures to ensure no risks are present

A barrier diagnostic framework in process of digital transformation in higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bayu Rima Aditya ◽  
Ridi Ferdiana ◽  
Sri Suning Kusumawardani
Keyword(s):  
Higher Education ◽  
Process Model ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
Digital Transformation ◽  
Successful Implementation ◽  
Content Type ◽  
Systematic Understanding ◽  
Diagnostic Framework

PurposeExisting literature has reported a barrier list that could affect the implementation of digital transformation in higher education, yet the research question of how to identify barriers remained unanswered. Thus, this study intended to address this gap.Design/methodology/approachThe research design adopted a mixed-methods approach based on the problem-centered design science research (DSR) process model for the development and evaluation of framework.FindingsThis study proposed a systematic framework of three sets of components: (1) the initial set of barriers; (2) the barrier rating scheme and (3) the barrier scoring matrix. The three-component of the framework is to identify and prioritize barriers to the successful implementation of digital transformation in higher education.Research limitations/implicationsThe evaluation of the framework was only based on an expert opinion.Practical implicationsThis study provided a direction to the policymakers for designing sensible strategies to increase the chances of a successful digital transformation in higher education.Originality/valueThis study contributes to the knowledge body by offering a more systematic understanding of barriers to digital transformation in higher education.

scholarly journals Software Engineering Principles and Security Vulnerabilities

10.29007/4q71 ◽  
2019 ◽  
Author(s):  
Aakanksha Rastogi ◽  
Kendall Nygard
Keyword(s):  
Software Engineering ◽  
Design Science ◽  
Science Research ◽  
Security Requirements ◽  
Security Vulnerabilities ◽  
Analysis And Design ◽  
Security Issues ◽  
Development Life Cycle ◽  
Design Science Research Methodology ◽  
Trust Modelling

Software Engineering principles have connections with design science, including cybersecurity concerns pertaining to vulnerabilities, trust and reputation. The work of this paper surveys, identifies, establishes and explores these connections. Identification and addressing of security issues and concerns during the early phases of software development life cycle, especially during the requirements analysis and design phases; and importance of inclusion of security requirements have also been illustrated. In addition to that, effective and efficient strategies and techniques to prevent, mitigate and remediate security vulnerabilities by the application of the principles of trust modelling and design science research methodology have also been presented.

scholarly journals Increasing Learner Interaction in Large-Scale Lectures by Using a Mobile Learning Application

2016 ◽  
pp. 1453-1471
Author(s):  
Katja Lehmann ◽  
Matthias Söllner ◽  
Jan Marco Leimeister
Keyword(s):  
Focus Group ◽  
Mobile Learning ◽  
Large Scale ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
University Teaching ◽  
Research Approach ◽  
Learning Success ◽  
Learning Scenarios

Universities face increasing numbers of students leading to increasingly large lectures, and decreasing interaction and feedback, which are important factors for individual learning success and satisfaction. The use of IT can help in overcoming this challenge by increasing the interaction in large-scale lectures without massively increasing the workload of lecturers. This paper presents the design, use and evaluation of a mobile-learning application aiming to increase the interaction in large-scale lectures and the success of learners. For designing the application, the authors follow a design science research approach. The authors rely on insights from interaction theory as well as requirements gathered from lecturers and students in a focus group workshop. With the implementation, large-scale lecture related limitations can be overcome and the results help lecturers to face the according challenges. The results emphasize the potential of IT for university teaching and provide transferable insights for practical use in other learning scenarios.

scholarly journals Security Issues of Web Services of Large Scale Distributed Database

2021 ◽  
pp. 373-379
Author(s):  
Dr. Manish Jivtode
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Web Services ◽  
Large Scale ◽  
Distributed Database ◽  
Distributed Environment ◽  
Distributed Application ◽  
Application Security ◽  
Security Issues ◽  
Open Platform

Cloud computing is viewed as one of the most promising technologies in computing today. This is a new concept of large scale distributed computing. It provides an open platform for every user on the pay-per-use basis. Cloud computing provides number of interfaces and APIs to interact with the services provided to the users. With the development of web services distributed application, Security of data is another important subject in various layers of distributed computing. In this study, security of data that can be used during the access of distributed environment over various layers will be described.

Scalability of generative knowledge management systems: designing for individuals’ and institutions’ mutual benefit

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Value Chain ◽  
Large Scale ◽  
Design Science ◽  
Science Research ◽  
Disruptive Innovation ◽  
General Purpose ◽  
The Novel ◽  
Content Type ◽  
Prototype Development

Purpose In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base. Design/methodology/approach It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches. Findings The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system. Research limitations/implications Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation. Originality/value In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.

scholarly journals iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19

2021 ◽  
Vol 8 ◽  
Author(s):  
Mohammed Odeh ◽  
Faten F. Kharbat ◽  
Rana Yousef ◽  
Yousra Odeh ◽  
Dina Tbaishat ◽  
...  
Keyword(s):  
Research Design ◽  
Design Science ◽  
Big Data Analytics ◽  
Science Research ◽  
Search Space ◽  
Research Literature ◽  
Agile Development ◽  
Learning Stage ◽  
Domain Experts ◽  
Open Platform

Background: Few ontological attempts have been reported for conceptualizing the bioethics domain. In addition to limited scope representativeness and lack of robust methodological approaches in driving research design and evaluation of bioethics ontologies, no bioethics ontologies exist for pandemics and COVID-19. This research attempted to investigate whether studying the bioethics research literature, from the inception of bioethics research publications, facilitates developing highly agile, and representative computational bioethics ontology as a foundation for the automatic governance of bioethics processes in general and the COVID-19 pandemic in particular.Research Design: The iOntoBioethics agile research framework adopted the Design Science Research Methodology. Using systematic literature mapping, the search space resulted in 26,170 Scopus indexed bioethics articles, published since 1971. iOntoBioethics underwent two distinctive stages: (1) Manually Constructing Bioethics (MCB) ontology from selected bioethics sources, and (2) Automatically generating bioethics ontological topic models with all 26,170 sources and using special-purpose developed Text Mining and Machine-Learning (TM&ML) engine. Bioethics domain experts validated these ontologies, and further extended to construct and validate the Bioethics COVID-19 Pandemic Ontology.Results: Cross-validation of the MCB and TM&ML bioethics ontologies confirmed that the latter provided higher-level abstraction for bioethics entities with well-structured bioethics ontology class hierarchy compared to the MCB ontology. However, both bioethics ontologies were found to complement each other forming a highly comprehensive Bioethics Ontology with around 700 concepts and associations COVID-19 inclusive.Conclusion:The iOntoBioethics framework yielded the first agile, semi-automatically generated, literature-based, and domain experts validated General Bioethics and Bioethics Pandemic Ontologies Operable in COVID-19 context with readiness for automatic governance of bioethics processes. These ontologies will be regularly and semi-automatically enriched as iOntoBioethics is proposed as an open platform for scientific and healthcare communities, in their infancy COVID-19 learning stage. iOntoBioethics not only it contributes to better understanding of bioethics processes, but also serves as a bridge linking these processes to healthcare systems. Such big data analytics platform has the potential to automatically inform bioethics governance adherence given the plethora of developing bioethics and COVID-19 pandemic knowledge. Finally, iOntoBioethics contributes toward setting the first building block for forming the field of “Bioethics Informatics”.

scholarly journals How May Location Analytics Be Used to Enhance the Reliability of the Smart Grid?

Inventions ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 39
Author(s):  
Vivian Sultan ◽  
Brian Hilton
Keyword(s):  
New York ◽  
Smart Grid ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
The United States ◽  
Operating Parameters ◽  
Integral Role ◽  
The Media ◽  
The Many

The United States (U.S.) electric infrastructure urgently needs renovation, as highlighted by recent major outages in California, New York, Texas, and Florida. The media has discussed the aging power infrastructure, and the Public Utilities Commission called for a comprehensive review of the causes of recent power outages. Without optimization algorithms to account for the many operating parameters and outage scenarios, planning engineers may inadvertently choose non-optimal locations for new components such as automated distribution switches, thereby impacting circuit reliability. This study aims to address this problem by answering the research question: “How may location analytics should be used to enhance the reliability of the smart grid?” To address this problem, Insights for ArcGIS was used to build worksheets using a geographic information systems (GIS)-based approach to resolve the challenges faced by utilities to reduce power outage frequency. Three case studies demonstrate various risk scenarios wherein a utility can prepare for the unexpected. An artefact in Insights for ArcGIS was created using a design science research methodology. This research proposes a solution to facilitate storm/disaster planning and vegetation management, identify optimal grid locations needing inspection or work, and detect regions where new distribution switches may provide benefits, considering the many operating parameters and outage scenarios. The artefact demonstrates that GIS can play an integral role in resolving this problem.

scholarly journals Increasing Learner Interaction in Large-Scale Lectures by Using a Mobile Learning Application

2016 ◽  
pp. 102-120 ◽  
Author(s):  
Katja Lehmann ◽  
Matthias Söllner ◽  
Jan Marco Leimeister
Keyword(s):  
Focus Group ◽  
Mobile Learning ◽  
Large Scale ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
University Teaching ◽  
Research Approach ◽  
Learning Success ◽  
Learning Scenarios

Universities face increasing numbers of students leading to increasingly large lectures, and decreasing interaction and feedback, which are important factors for individual learning success and satisfaction. The use of IT can help in overcoming this challenge by increasing the interaction in large-scale lectures without massively increasing the workload of lecturers. This paper presents the design, use and evaluation of a mobile-learning application aiming to increase the interaction in large-scale lectures and the success of learners. For designing the application, the authors follow a design science research approach. The authors rely on insights from interaction theory as well as requirements gathered from lecturers and students in a focus group workshop. With the implementation, large-scale lecture related limitations can be overcome and the results help lecturers to face the according challenges. The results emphasize the potential of IT for university teaching and provide transferable insights for practical use in other learning scenarios.

A Perspective On The Impact of COVID-19 Pandemic in Basic Science Research and its Future implications

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Yam Nath Paudel ◽  
Efthalia Angelopoulou ◽  
Bhupendra Raj Giri ◽  
Christina Piperi ◽  
Iekhsan Othman ◽  
...  
Keyword(s):  
Basic Science ◽  
Large Scale ◽  
Preventive Measure ◽  
Science Research ◽  
Research Institutes ◽  
Basic Science Research ◽  
Long Term Consequences ◽  
Long Term Impact ◽  
The Impact

: COVID-19 has emerged as a devastating pandemic of the century that the current generations have ever experienced. The COVID-19 pandemic has infected more than 12 million people around the globe and 0.5 million people have succumbed to death. Due to the lack of effective vaccines against the COVID-19, several nations throughout the globe has imposed a lock-down as a preventive measure to lower the spread of COVID-19 infection. As a result of lock-down most of the universities and research institutes has witnessed a long pause in basic science research ever. Much has been talked about the long-term impact of COVID-19 in economy, tourism, public health, small and large-scale business of several kind. However, the long-term implication of these research lab shutdown and its impact in the basic science research has not been much focused. Herein, we provide a perspective that portrays a common problem of all the basic science researchers throughout the globe and its long-term consequences.

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