Social Commerce Mobile Application Enhancement: a hybrid text clustering - topic modeling business model analysis

Saeedeh Poormoosa Abkenar (), Iman Raeesi Vanani (), Babak Sohrabi () and Amir Manian ()
Additional contact information
Saeedeh Poormoosa Abkenar: University of Tehran
Iman Raeesi Vanani: Allameh Tabataba’i University
Babak Sohrabi: University of Tehran
Amir Manian: University of Tehran

Electronic Commerce Research, 2024, vol. 24, issue 3, No 16, 1927-1965

Abstract: Abstract Social Commerce (S-commerce) is an emerging subset of e-commerce, enabled by Web 2.0, which is getting more attention due to the growing interest in social media. Along with the worldwide penetration of smartphones, their usability is boosted via mobile applications. In this research we have investigated the components of a social commerce mobile application business model using a text-analytics approach. The data is gathered from previous journal articles, and users reviews about selected mobile applications (Facebook, Instagram, Etsy, Pinterest, TikTok). Considering mobile applications as a platform for social commerce transactions and with Osterwalder Business Model Canvas as our reference model, we have identified business model building block components and three main aspects to develop a model for social commerce mobile businesses. The proposed model is presented with 3 aspects (Social, Commercial, Technological), 9 building blocks and 26 components. Model verification is done by expert interviews and its validation is done by reviewing two businesses. We have finally looked at the results from the lens of three theories including Design Theory, Sociomateriality Theory, and Stakeholder Theory to provide theoretical implications.

Keywords: Social Commerce; Mobile Application; Business model; Text analytics (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10660-022-09596-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:24:y:2024:i:3:d:10.1007_s10660-022-09596-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660

DOI: 10.1007/s10660-022-09596-y

Access Statistics for this article

Electronic Commerce Research is currently edited by James Westland

More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().