Is product customization always beneficial in the context of C2M platforms? A signaling theory perspective
Shuai Wang and
Shuang Ma
Technological Forecasting and Social Change, 2023, vol. 197, issue C
Abstract:
As a new driver of the e-commerce economy, the customer-to-manufacturer (C2M) model has attracted increasing attention. Product customization is a crucial element in C2M businesses; however, given manufacturers' relatively limited ability to serve end customers, it can create uncertainties for consumers. Scholars have paid insufficient attention to product customization on C2M platforms. Therefore, we developed a theoretical framework and crawled secondary data from Biyao, one of China's largest C2M platforms, to examine the role of product customization, as well as when product customization can be most effective. We used ordinary least squares regression analysis to test our hypotheses. The results demonstrate the positive effect of product customization on customer purchases on C2M platforms. Further, we investigated three moderating variables—brand awareness, lead time, and group buying. It is found that the positive effect of product customization on customer purchases is greater when brand awareness is higher and lead time is longer but weaker when products are sold through group buying.
Keywords: Product customization; Customer purchases; Brand awareness; Lead time; Group buying; Signaling theory (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523005620
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:197:y:2023:i:c:s0040162523005620
DOI: 10.1016/j.techfore.2023.122877
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().