Intention to Purchase Chapters of Online Literature: A Pilot Study in Thailand
- Duangkamol Chuengprapa
- Nitaya Wongpinunwatana
Abstract
The purpose of this study is to examine the factors that influence the intention to purchase chapters of online literature. This study is based on descriptive research using an online survey. The results indicate that six factors (favorable attitude from social norms, functional dependence on platform, emotional attachment to content creator, perceived benefit, perceived sacrifice, and perceived value) can be used to predict the intention to purchase online literature. The findings of this research will help practitioners by providing a guideline to improve products and services. This research combines the value intention model, status quo bias theory, and integration of attachment theory and socio-technical systems, and as far as the author knows, these theories have never before been studied together.
- Full Text: PDF
- DOI:10.5539/ibr.v11n6p11
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org