A New Arabic Online Consumer Reviews Model to Aid Purchasing Intention (AOCR-PI).pdf (384.29 kB)
A new Arabic online Consumer Reviews Model to Aid Purchasing Intention (AOCR-PI)
conference contribution
posted on 2023-06-10, 02:40 authored by Ahmad Mohammed S AlghamdiAhmad Mohammed S Alghamdi, Natalia BeloffNatalia Beloff, Martin WhiteMartin WhiteCurrently, customers are inclined to use online reviews to make good purchasing decisions. Such reviews are believed to have a significant impact on customer buying intentions, and, thereby, sales. Almost no previous studies have been conducted to build a comprehensive model of online consumer reviews (OCR) factors that influence consumers’ purchase intentions and product sales within an Arabic context. Drawing on the elaboration likelihood model (ELM) and by considering Hall’s Cultural Model (HCM) and Hofstede's Cultural Dimensions Framework (HCDF), this study proposes a conceptual model to assess the relationship between Arabic Online Consumer Review and Purchase Intention (AOCR-PI), using book reviews as a case study. The paper also outlines the proposed methodology to be followed to evaluate the proposed model. The paper is focused on understanding how online review- and reviewer-related factors can influence Arab readers’ book selection and, thus, book sales. The paper also outlines the proposed methodology to be followed to evaluate the proposed framework. The findings of this study will help both consumers in choosing the best product quality and sellers in improving future sales by identifying the most important OCR factors that have a significant impact on consumer buying decisions.
History
Publication status
- Published
File Version
- Accepted version
Journal
IntelliSys 2022 proceedingsISSN
2367-3370Publisher
SpringerExternal DOI
Volume
542Page range
475-492Event name
Intelligent Systems Conference (IntelliSys) 2022Event location
Amsterdam, The NetherlandsEvent type
conferenceEvent date
1-2 September 2022ISBN
9783031160721Series
Lecture Notes in Networks and SystemsDepartment affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes