A Knowledge Map for ICT Integration in the Silver Economy

Butt, Sidra Azmat; Elhadjamor, Emna Ammar; Pappel, Ingrid; Õunapuu, Enn; Draheim, Dirk

doi:10.1016/j.procs.2021.01.220

Cited by 12 publications

(16 citation statements)

References 8 publications

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“…Por ejemplo, se ha presentado una plataforma que pretende mejorar la calidad de vida de las personas mayores en los cruceros de ocio analizando el comportamiento de los usuarios (Plaza-Hernández et al, 2021) o se ha estudiado la interacción de las personas mayores con interfaces gráficas (Martins et al, 2022). Además, hay diversos análisis de cómo se integran las TIC en la vida cotidiana a través, por ejemplo, de las compras a través de internet (Cukanova, 2015) mostrando un buen nivel de consumo digital que se entiende como una mejora de la calidad de vida (Krescankova y Zamecnik, 2014) o herramientas que pueden facilitar el acceso a servicios a la población de edad avanzada (Butt et al, 2021).…”

Section: Resultsunclassified

Investigación sobre la producción científica en relación con la silver economy

Baños-Martínez

Mendizábal

2022

revTECHNO

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El objetivo de esta investigación, basada en una revisión bibliográfica, es dar a conocer una nueva realidad asociada al envejecimiento, la silver economy o economía plateada, que presenta un gran potencial no solo por los recursos económicos que prevé movilizar sino también por el protagonismo y relevancia con los que se dota a las personas mayores como consumidores de productos y servicios especializados. Los resultados dejan nítida la imagen de un escenario en construcción, donde las instituciones europeas buscan dar visibilidad e impulso a esta realidad pero la sociedad aún no está completamente preparada para integrar este cambio.

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Section: Resultsunclassified

Investigación sobre la producción científica en relación con la silver economy

Baños-Martínez

Mendizábal

2022

revTECHNO

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“…The researcher used the literature review methodology. In this review, he presented the most important terms in the field of information and communication technology and knowledge sharing, covered the beginning of their appearance in studies and research that focused on the two areas under study, and tracked the historical development of some digital indicators of information and communication technology terms and knowledge sharing in some Arab and foreign databases [9]. In addition, he reviewed the terms of information and communication technology and knowledge sharing separately, as well as the studies that combined them together, and extracted and discussed the main trends of those studies and research that had interest in the two areas under review.…”

Section: Methodsmentioning

confidence: 99%

Information and Communication Technology and Knowledge Sharing: a Literary Referential Study

Maalawi¹

2022

Int. J. Appl. Inf. Manag.

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This study examines information and communication technology and knowledge sharing articles. It discusses the topic's literary relevance. Researchers examined research, studies, and Arab and global trends. The study read books. Originally, scientific databases tracked the expansion of ICT in Arab and foreign intellectual output. The first computer, the IBM 7001, was released in the mid-1970s, igniting the expansion of information and communication technology (ALTAIR). Then followed a study on ICT's impact on businesses. It was detected 7.5 million times between 1999 and 2020. 21 studies centered on the Arab world. Information sharing via research and monitoring was also explored in the study. Wilson investigated knowledge sharing to improve organizational performance in 1983. From 1980 to 2020, the number of citations for knowledge sharing in research titles in scientific articles continuously increased, reaching over a thousand. The notion of information technology and knowledge sharing developed in 1990, when Hendersk said that knowledge sharing needed information and communication technology. Robert Yinks et al. examined IT & K in 1991 AD. This study addresses ICT and knowledge sharing. From 1991 to 2020, the digital index of information and communication technology and knowledge sharing reveals a lot of international research on the issue. From 2005 to 2017, several studies on the same topic were presented at conferences, workshops, and scholarly forums. These studies emphasized IT and knowledge transfer. An international study on public organizations exists. The Internet, intranet, extranet, and other ICT have been studied for their influence on knowledge exchange. Other studies linked ICT to corporate culture, performance, job happiness, organizational justice, communication, and other management necessities. Another study examined how ICT may promote knowledge sharing. Some studies looked at social media's impact on knowledge sharing.

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“…To explore the different resources and capabilities related to the integration of the silver economy and ICT, Butt S A's team proposed to create a knowledge map on the Protégé model and use it to integrate key knowledge resources. The results show that the method can be good for integrating resources and is useful for exploring the relationship between the silver economy and ICT integration [7]. Esfahani et al propose a comprehensive knowledge map in the field of energy security measurement in order to address the problem of insufficient methods for analyzing the field of energy security, and use this knowledge map to explore the relationship between relevant the articles were collected and analyzed, and the results showed that the knowledge map can be used to accurately analyses energy security and obtain reliable conclusions, which is of great practical importance [8].…”

Section: Related Workmentioning

confidence: 96%

“…In equation ( 6),θ is the threshold value, if the co-occurrence frequency of the neighboring nodes is lower than θ, it will be discarded. Generally, the proximity information of two nodes in a text can suggest the relationship between them, so the paired contextual information of two nodes is defined as n(x i , x j ), which is calculated as shown in equation (7).…”

Section: Y Y Y Y Ij }mentioning

confidence: 99%

Design of a Visual Training System for Software Engineering Education Based on Knowledge Graphs

Hou

2022

Int. J. Emerg. Technol. Learn.

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With the increase of the content and difficulty of software engineering education courses, software engineering education visual training system came into being, but the technology is not mature at present, and the representation learning algorithm part of the visual training system needs to be optimized. In order to solve this problem, the research proposes to optimize the take model by using the trans representation algorithm, and embed the optimized knowledge map into the new software engineering education visual training system. The performance of TEKEE model is verified by comparing TEKEE model with Trans E model, Trans D model and TEKED model. The experimental results show that the MR value of the optimized TEKEE model is 62, Hits@10 The value is 0.92, which is better than the other three representation learning models. In terms of the bearing capacity test of the visual training system, the response time of the business operation of the research and design training system is 1.22 seconds, and the CPU occupancy of the application server is 12.5%, all of which are normal. The experimental results show that the performance of the optimized TEKEE model has indeed been greatly improved, and the visual training system composed of the optimized knowledge map has a very good carrying capacity, which can provide a new idea for the software engineering education and training system.

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A Knowledge Map for ICT Integration in the Silver Economy

Cited by 12 publications

References 8 publications

Investigación sobre la producción científica en relación con la silver economy

Investigación sobre la producción científica en relación con la silver economy

Information and Communication Technology and Knowledge Sharing: a Literary Referential Study

Design of a Visual Training System for Software Engineering Education Based on Knowledge Graphs

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