Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model
Yongping Zhong,
Segu Oh and
Hee Cheol Moon
Technology in Society, 2021, vol. 64, issue C
Abstract:
Technological development has drastically changed customers' daily lives by offering them new ways to shop. It also creates more opportunities for business to achieve sustainable success; however, both scholars and managers are still having relative difficulty in fully grasping customer behavior in terms of technology acceptance during the Industry 4.0. This study aims to investigate the possible factors that drive Chinese customers' willingness to utilize facial recognition payment. The findings showed that factors such as perceived enjoyment, facilitating conditions, personal innovativeness, coupon availability, perceived ease of use (PEOU), perceived usefulness (PU), and users' attitude are main drivers of customers' decisions to use facial recognition payment. Also, we found that gender differences exist in the adoption of facial recognition payment. Facilitating conditions have stronger effects on men's attitude towards usage, while coupon availability shapes female users' perception of usefulness more powerfully. By testing the extended technology acceptance model (TAM), this study seeks to gain more insight into technological change within society. Overall, investigation of the drivers of customer intention to use facial recognition payment, and exploration of their internal relationships will fulfil theoretical requirements and lead to a better understanding of customers' technology acceptance behavior, which in turn will provide greater theoretical and practical guidance for scholars and managers.
Keywords: Perceived usefulness; Perceived enjoyment; Facilitating conditions; Personal innovativeness; Facial recognition payment; Gender differences (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X2031318X
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:teinso:v:64:y:2021:i:c:s0160791x2031318x
DOI: 10.1016/j.techsoc.2020.101515
Access Statistics for this article
Technology in Society is currently edited by Charla Griffy-Brown
More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().