Research on the Internal Structure of Product Uncertainty and Scale Development
- DOI
- 10.2991/978-94-6463-210-1_38How to use a DOI?
- Keywords
- online shopping uncertainty; product uncertainty; Scale development
- Abstract
With the rapid development of platform-based e-commerce, shopping uncertainty and shopping risks due to information asymmetry in online shopping have increased, which has attracted widespread attention from academia and practice. This paper combines consumer behavior theory and transaction cost theory to explore the connotation and structure of product uncertainty, and develop and test measurement scales. Study 1 adopts a grounded theoretical method to explore the connotation and structure of product uncertainty. Based on exploratory factor analysis and confirmatory factor analysis, Study 2 clarifies three dimensions: product description uncertainty, product fitting uncertainty and product performance uncertainty. Affective dysregulation was used as the association standard, and the prediction validity of the scale was verified based on correlation analysis and regression analysis. This study provides a measurement tool and theoretical basis for the research on the uncertainty of consumer online shopping, which is of great significance for the strategy design of business enterprises.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mingfang Li AU - Huan Peng PY - 2023 DA - 2023/07/25 TI - Research on the Internal Structure of Product Uncertainty and Scale Development BT - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023) PB - Atlantis Press SP - 291 EP - 296 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-210-1_38 DO - 10.2991/978-94-6463-210-1_38 ID - Li2023 ER -