Evaluation of end user requirements for Smart Home applications and services based on a decision support system

Δέδε, Γεωργία; Filiopoulou, Evangelia; Chatzithanasis, Georgios; Michalakelis, Christos; Kamalakis, Thomas

doi:10.1016/j.iot.2021.100431

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Despite the fact that the ranking priority methodologies are simply explained and effective in determining the best criteria and alternatives, these cannot ensure the planning resource feasibility and are unable to deal with optimal portfolios problem. With regard to the IoMT topic, prior studies mainly focused on ranking the significant weights of particular objects, such as security evaluations (Huang & Nazir, 2000) and end user requirements (Georgia et al, 2021 ). In order to solve real world situations, this study considered the resource requirements for IoMT platform establishment in the decision process, including the system construction cost, consultant fees, the total cost of the IoMT infrastructure, reduction of medical staff demand, and the improvement rate for diagnosis efficiency.…”

Section: Discussionmentioning

confidence: 99%

National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view

et al. 2022

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The Internet of Medical Things (IoMT) is an emerging technology in the healthcare revolution which provides real-time healthcare information communication and reasonable medical resource allocation. The COVID-19 pandemic has had a significant effect on people’s lives and has affected healthcare capacities. It is important for integrated IoMT platform development to overcome the global pandemic challenges. This study proposed the national IoMT platform strategy portfolio decision-making model from the non-financial (technology, organization, environment) and financial perspectives. As a solution to the decision problem, initially, the decision-making trial and evaluation laboratory (DEMATEL) technology were employed to capture the cause-effect relationship based on the perspectives and criteria obtained from the insight of an expert team. The analytic network process (ANP) and pairwise comparisons were then used to determine the weights for the strategy. Simultaneously, this study incorporated IoMT platform resource limitations into the zero–one goal programming (ZOGP) method to obtain an optimal portfolio selection for IoMT platform strategy planning. The results showed that the integrated MCDM method produced reasonable results for selecting the most appropriate IoMT platform strategy portfolio when considering resource constraints such as system installation costs, consultant fees, infrastructure costs, reduction of medical staff demand, and improvement rates for diagnosis efficiency. The decision-making model of the IoMT platform in this study was conclusive and significantly compelling to aid government decision makers in concentrating their efforts on planning IoMT strategies in response to various pandemic and medical resource allocations.

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Section: Discussionmentioning

confidence: 99%

National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view

et al. 2022

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“…Next is to analyze user needs and cross-check with the system to be developed. This step avoids duplication of user requirements with the system to be developed (Thomas, 2021), (Kifetew et al, 2021), (Lavalle et al, 2021).…”

Section: Methodology Explanationmentioning

confidence: 99%

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Hindarto

Indrajit

Dazki

2021

SinkrOn

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In recent years, Solar power plants are currently developed rapidly, where solar power plants don't cause environmental damage. This generator utilizes sunlight as its input source which environmentally friendly, when sunlight is converted into direct current and voltage that can be stored in batteries. Therefore, the solar energy industry needs to have high efficiency, competitive pricing, and durability. With the right information technologies and developing application systems, it can help to optimize business processes and integrating information systems. But the fact there are many industries that do not apply information technology correctly into their business. In this research, provide to the best solution for applying the enterprise architecture framework correctly. The purpose of this paper is to design a manufacturing industry information system that is in accordance with the business model canvas and enterprise architecture. The design also discusses the development of a large and integrated information system with other systems. The study of Business Model Canvas is a business model that can explain and focus on nine business aspects with a solid strategy. Studies of the ArchiMate core Framework is the framework used to classify elements of the ArchiMate core language. These two methods are expected to be able to design an enterprise information system architecture consisting of business architecture, application architecture, information architecture and technology architecture as a result of the study. The result is a more complete system design to meet system requirements for users, integrated with existing system modules and no system duplication occurs.

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“…In addition, they were aimed at home automation, home security, intelligent lighting, and intelligent security systems [18][19][20]. Since then, the development of the wireless Internet and smartphones has expanded the idea of the smart houses that can be controlled from a distance using remote connection [21][22][23]. Now that the Internet of Things (IoT) has become a reality, the concept has boosted the automation and remote control that enable the monitoring and steering of the devices used in modern households [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)

2021

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This paper focuses on the consumer preferences for the so-called “smart homes” (also known as “smart houses”) which represent a novel addition and a product of the on-going digitalization and the deployment of the Internet of Things (IoT). The major scientific contribution of our study is the empirical model build on the data from the online questionnaire conducted with randomly selected respondents (N = 523) from four European Union (EU) countries and Russia. Even though our results are subject to limitations (no Southern of Northern European countries are included in the scope of this research, which might have yielded different results due to the differences in wealth of citizens and climate in comparison to the Central and Eastern European countries or Germany), they demonstrate that the users included in our sample generally feel inclined to the smart homes technologies and perceive them as a plausible means for improving the safety and security of their lives. On the other hand, some respondents from our sample expressed their concerns over the cybersecurity and technology dependence issues associated with smart homes. It is also apparent that younger respondents (aged 16–35) featured in our research are more worried about their personal data being monitored and analyzed (with a pending threat of leakages). All these results are original and constitute an important scientific value-added to the field of research in smart home technologies and their acceptance by the general public. We demonstrate that the further enhancement of smart homes, and the increase of their popularity and affordability among the customers both in the Central and Eastern European countries and beyond, might depend on the development of the smart grids which these smart homes are an integral part of. The reliability of the smart systems constitutes the key element for achieving the satisfaction of the smart homes residents, and hence needs to be achieved and secured in an effective way. This would ensure the right mix and balance of energy security and efficiency for all customers involved in this process.

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Evaluation of end user requirements for Smart Home applications and services based on a decision support system

Cited by 10 publications

References 15 publications

National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view

National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Consumer Attitudes to the Smart Home Technologies and the Internet of Things (IoT)

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