Single Discount or Multiple Discounts?

Author:

Chen Yi-Fen1,Cheng Ruo-Chi2

Affiliation:

1. Department of International Business, Chung Yuan Christian University, Taoyuan, Taiwan

2. Chung Yuan Christian University, Taoyuan, Taiwan

Abstract

The emerging online economy provides consumers with easy access to numerous choices. This article investigates the effects of price promotion framing messages on perceived value and online consumer purchase intention. A 3 (price promotion framing: single discount/multiple discounts- large discount first and small discount last/multiple discounts- small discount first and large discount last) × 2 (price level of product: low/high) experimental design is conducted. The experiment results demonstrated that price framing of single discount has a greater influence on perceived value than multiple discounts. Perceived value has a positive influence on purchase intention. Additionally, price moderates the effects of price promotion framing on consumer purchase intention. This finding offers potential for finding better ways for sellers or managers to present discounts in online shopping. Finally, the conclusion presents implications, limitations, and directions for future research.

Publisher

IGI Global

Subject

Human-Computer Interaction,Information Systems

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1. The Positive Influence of Purchase Intention Factors on Shopee Thai Students in Chiang Mai;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31

2. A consumers’ Kansei needs mining and purchase intention evaluation method based on fuzzy linguistic theory and multi-attribute decision making method;Advanced Engineering Informatics;2024-01

3. The Effect of E-commerce Promotional Tools on Customer Intention to Buy;Contributions to Management Science;2023

4. Influence of Promotional Formats on Online Consumer Purchase Intention;International Journal of Innovation in the Digital Economy;2022-01-31

5. Short Term E-commerce Sales Forecast Method Based on Machine Learning Models;Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022);2022

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