Measuring buying intention of generation Z on social networking sites: an application of social commerce adoption model
Journal of Economic and Administrative Sciences
ISSN: 2054-6238
Article publication date: 20 April 2023
Abstract
Purpose
The present study intends to measure buying intention of Generation Z (Gen Z) on social networking sites (SNSs) incorporating perceived risk with the social commerce adoption model (SCAM).
Design/methodology/approach
Data were collected via an online questionnaire, and the study used a total of 349 accurate and useable responses. The population of the study includes Indian young consumers coming from the Gen Z cohort. Data were analyzed using SPSS 20 and AMOS 22.0. The proposed hypotheses were statistically tested.
Findings
The empirical results show that perceived risk is a significant and strong predictor of perceived usefulness that, in turn, negatively influences buying intention. Among all the constructs of SCAM, perceived usefulness is the most influential and strongest predictor of buying intention. The proposed model explained approximately 34% of the variance in the behavioral intention.
Research limitations/implications
Based on the findings of this study, many theoretical and practical implications may be inferred that can be used to make recommendations to social commerce companies and help them understand the buying intention of Gen Z.
Originality/value
There are many studies that have examined buying intention and a few have measured it on Gen Z. The present study is novel in itself as it has measured the buying intention of Gen Z using the SCAM in the Indian context. Hence, the present research attempts to comprehend the variables influencing buying intention and analyses the relationship between these factors in the social media setting.
Keywords
Citation
Azhar, M., Akhtar, M.J., Rahman, M.N. and Khan, F.A. (2023), "Measuring buying intention of generation Z on social networking sites: an application of social commerce adoption model", Journal of Economic and Administrative Sciences, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEAS-02-2022-0047
Publisher
:Emerald Publishing Limited
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