A Study on Analysis of Factors Influencing Delivery Time Preference & Customer Repurchase Intention for E-Tailing Websites
Keywords:
Online Shopping, E-commerce, E-tailors, Delivery Time, Demographic Factors, Repurchase intentionAbstract
The purpose of this research paper is to examine the impact of delivery time preference and its impacts on customer repurchase intention. This study explores how customer’s delivery time preferences may change based on their personal factors, types of products (Hedonic & Utilitarian), purchase purpose (Gift giving, self use) and how it may affect their future purchase decisions.
This study involves data collection through an anonymous questionnaire filled by 204 regular online shoppers of varying age groups. The majority of online shoppers were younger than 41 years. Responses were measured using a five point likert scale.
The results show that customer’s personal attributes like age and gender may alter their delivery time preferences also hedonic and utilitarian products & different purchase purposes may have significant influence on customer’s delivery time preference. In addition to that it was found that customers will prefer websites, which had delayed delivery of their products, for repurchases if the websites are offering quality product, packaging and attractive discounts.
This study is conducted on online shoppers to measure influence of personal factors, type of products, and purchase purpose on delivery time preference & repurchase intentions. Further research may be conducted to examine few other factors which may alter customer’s delivery time preference and repurchase intentions.
Only few studies have investigated effect of factors influencing customer’s delivery time expectations, This research paper addresses an important aspect in online retailing and it will contribute towards developing a more comprehensive understanding of consumer behavior in online shopping also it shall provide valuable inputs to the E-tailors for understanding customer’s delivery expectations under different circumstances and managing delivery of products accordingly.
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