An Empirical Investigation into the Perceived Value and Customer Adoption of Online Shopping: Palestine as a Case Study

Fadi Herzallah, Nabeel Al Qirim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Increased online shopping worldwide, even during the COVID-19 pandemic, has increased the need for more research to understand factors influencing its adoption and use by customers. The current research aims to investigate the influence of perceived value on customer intention to use online shopping in Palestine. A 200-Palestinian online shopper survey has been implemented. A theoretical framework has also been developed where perceived value is measured using four dimensions: social, functional, emotional, and epistemic. To analyze the collated data, the structural equation modeling is suitably conducted. The results show that all perceived value dimensions have positively influenced customer’s intention to use online shopping. Largely, the current work shows that emotional value is the most significant dimension.

Original languageEnglish
Title of host publicationImpact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success - Proceedings of The International Conference on Business and Technology ICBT 2021
EditorsBahaaeddin Alareeni, Allam Hamdan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages433-447
Number of pages15
ISBN (Print)9783031080920
DOIs
Publication statusPublished - 2023
EventInternational Conference on Business and Technology, ICBT 2021 - Istanbul, Turkey
Duration: Nov 6 2021Nov 7 2021

Publication series

NameLecture Notes in Networks and Systems
Volume485
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Business and Technology, ICBT 2021
Country/TerritoryTurkey
CityIstanbul
Period11/6/2111/7/21

Keywords

  • Emotional value
  • Epistemic value
  • Functional value
  • Online shopping
  • Perceived value
  • Social value

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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