Artikel

Assessing personal disposition of individuals towards technology adoption

The present study has attempted to explore personal disposition of individuals towards technology adoption through the development of an index named as Technology Adoption Index. For developing the index, exploratory factor analysis approach has been employed on the sample of 1201 responses collected from the residents of 12 different cities in India. Accordingly, the results of the index have indicated significant role of seven personal traits, namely, optimism, innovativeness, self-efficacy, risk taking propensity, habit, social influence and psychological resilience while manifesting personal disposition of individuals towards technology adoption, i.e., the technology adoption propensity of the individuals. Further, an attempt has also been made to explore the socio-economic characteristics of the individuals possessing distinct level of personal disposition towards technology adoption. Accordingly, the results have unveiled that the personal disposition of the individuals towards technology adoption increases with enhancement in their income and qualification but decreases with enhancement in their age. As a measurement tool, Technology Adoption Index can be used as ready-recknor by practitioners for the identification of technology adoption propensity of the individuals. This will facilitate organizations in developing and designing new products and services which can be readily accepted by the individuals.

Sprache
Englisch

Erschienen in
Journal: Future Business Journal ; ISSN: 2314-7210 ; Volume: 2 ; Year: 2016 ; Issue: 1 ; Pages: 81-101 ; Amsterdam: Elsevier

Klassifikation
Management
Thema
Exploratory factor analysis
Innovativeness
Optimism
Psychological resilience
Technology Adoption Index

Ereignis
Geistige Schöpfung
(wer)
Magotra, Irbha
Sharma, Jyoti
Sharma, Supran Kumar
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2016

DOI
doi:10.1016/j.fbj.2016.05.003
Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Magotra, Irbha
  • Sharma, Jyoti
  • Sharma, Supran Kumar
  • Elsevier

Entstanden

  • 2016

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