A New Arabic Online Consumer Reviews Model to Aid Purchasing Intention (AOCR-PI)

被引:0
作者
Alghamdi, Ahmad [1 ,2 ]
Beloff, Natalia [2 ]
White, Martin [2 ]
机构
[1] Taif Univ, Taif, Saudi Arabia
[2] Univ Sussex, Brighton BN1 9RH, England
来源
INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1 | 2023年 / 542卷
关键词
e-commerce; Online communities; Arabic online consumer reviews; Social networks; Word-of-mouth recommendations; WORD-OF-MOUTH; MODERATING ROLE; PRODUCT SALES; IMPACT; HELPFULNESS; RATINGS; CREDIBILITY; PERCEPTIONS; SENTIMENT; BEHAVIOR;
D O I
10.1007/978-3-031-16072-1_35
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Currently, 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 review (OCR) factors that influence consumer purchase intention 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. This position 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.
引用
收藏
页码:475 / 492
页数:18
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