The impact of internal and external usability on knowledge transfer by the means of mobile technologies: a theoretical framework
Paweł Weichbroth , Michał Kuciapski
AbstractResearchers in subject matter literature present a significant number of factors influencing on intention to use particular technologies. The vast number of technology acceptance determinants highlights that it is important to classify and group them and indicate existing interrelations. Many articles prove that variables connected with usability are key factors impacting on technology acceptance. Conducted extensive literature analysis showed a considerable number of usability determinants influencing intention to use technology. More importantly highlighted that acceptance of particular applications may not only depend on their usability but also on the usability of utilized environment consisting of used devices and their operating systems. An approach that explains the intention to use technologies by internal and external usability and interrelations between them does not exist in subject matter literature. Therefore a model explaining internal and external usability impact on technology acceptance with particular variables grouped from internal and external perspective was proposed. It has a form of a theoretical framework.
|Publication size in sheets||0.61|
|Book||Kowal Jolanta, Kuzio Anna, Mäkiö Juho, Paliwoda-Pękosz Grażyna, Soja Piotr (eds.): International conference on ICT management for global competitiveness and economic growth in emerging economies: ICTM 2018, Wrocław, Poland, October 22-23, 2018: Innovation Capability for Socioeconomic Development: proceedings, ICT Management for Global Competitiveness and Economic Growth in Emerging Economies, no. 6/2018, 2018, Uniwersytet Wrocławski, ISBN 978-83-64389-66-5, 356 p.|
|Keywords in English||internal usability, external usability, technology acceptance, knowledge transfer, mobile technologies, employees, theoretical framework|
|Score||= 20.0, 25-02-2020, ChapterFromConference|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.