Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Understanding Workers Adoption of Productivity Mobile Applications: A Fuzzy Set Qualitative Comparative Analysis (fsQCA)
Año:2017
Áreas de investigación
  • Organización de la empresa
Datos
Descripción
Mobile devices such as smartphones and tablets are each day more present in our lives. Most of these devices use the Android operating system (OS), becoming the most popular OS for mobile devices. For these devices, there is a huge offer of application software that provide answers to different needs of their users. The aim of this study is to analyze the personal characteristics of mobile-device users in relation to the type of apps that they use. This study intends to research the different personal characteristics that become determining factors for the adoption of productivity apps in Android devices in working individuals. In order to achieve this, a combination of personality factors, sociodemographic variables and Internet usage is analyzed using fuzzy set Qualitative Comparative Analysis (fsQCA) in order to study different combination of variables. The results show the importance of distinct personality traits ?extroversion, agreeableness and non-neuroticism? and sociodemographic variables?gender and educational level? to understand the adoption of these services.
Internacional
Si
Nombre congreso
2017 Global Innovation and Knowledge Academy (GIKA) Conference
Tipo de participación
960
Lugar del congreso
Lisboa (Portugal)
Revisores
Si
ISBN o ISSN
978-84-616-0275-9
DOI
Fecha inicio congreso
28/06/2017
Fecha fin congreso
30/06/2017
Desde la página
470
Hasta la página
498
Título de las actas
2017 Global Innovation and Knowledge Academy (GIKA) Conference
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alberto Urueña Lopez (UPM)
  • Autor: Antonio Hidalgo Nuchera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Innovación, Propiedad industrial y Política tecnológica (INNOPRO)
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
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