Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making
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DOI:
10.1109/aitest58265.2023.00033
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发表时间:
2023-07
期刊:
影响因子:
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通讯作者:
Kate Kargozari;Junhua Ding;Haihua Chen
中科院分区:
文献类型:
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作者:
Kate Kargozari;Junhua Ding;Haihua Chen
In recent years, growing social media and ecommerce has underscored the necessity of evaluating seller-customer relations. The online review system is one way to assess this relationship. However, the trustworthiness and quality of these reviews, especially incentivized ones, remains a concern. To address online review quality, this study evaluates the credibility and consistency based on the volume, length, and content of online reviews. The study tends to distinguish between incentive and organic reviews, discover the impact of incentives on customer review behavior, and consequently on improving review quality as a pivotal determinant in purchase decisionmaking. To confront these problems, experiments were conducted using software product reviews collected from software review websites, including Capterra, Software Advice, and GetApp. EDA results highlight the significance of review features such as cost, customer support, ease of use, and product features. The indirect impact of companies’ size based on the number of employees, the direct impact of users’ experience, and the different impacts of changing situations during years on the volume of incentive reviews are major findings of sentiment analysis. The A/B testing results indicate the range of having no impact to the less impact of incentive reviews on purchase decision-making regarding different review scores. We also find lower credibility, less consistency regarding volume and length, and more consistency regarding content within incentive reviews. This study suggests the necessity of potential contributions among companies to improve the quality of online review systems.