Predictors of online buying behaviour

Title

Predictors of online buying behaviour

Creator

Khanna S.; Ghosh F.C.M.A.N.; Kumar S.; William R.M.

Description

This study creates a framework by looking into various research on customer acceptance of new selfservice technologies and internet purchasing behaviour systems. According to this research, customers' attitudes towards online purchasing are initially influenced by the direct impacts of relevant characteristics of online shopping. These characteristics include functional, utilitarian characteristics and usefulness, emotional and hedonic characteristics. It looks at the technology acceptance theory (TAM) established by David in 1989 and the theory of reasoned action (TRA) to understand factors determining the attitudes of users towards online shopping for users using technology. It also provides conceptual models by using the brand image of the online platform, past experiences of buyers, information related to the product, convenience of the shoppers and trust of the customers towards online shopping. 2024, IGI Global. All rights reserved.

Source

Enhancing and Predicting Digital Consumer Behavior with AI, pp. 268-283.

Date

2024-01-01

Publisher

IGI Global

Coverage

Khanna S., Christ University, India; Ghosh F.C.M.A.N., Christ University, India; Kumar S., Christ University, India; William R.M., Christ University, India

Rights

Restricted Access

Relation

ISBN: 979-836934454-5; 979-836934453-8

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-4453-8.ch014

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195739925&doi=10.4018%2f979-8-3693-4453-8.ch014&partnerID=40&md5=58c5d3afd1b3f68714ad2ed1bd72dbbe