气候变化领域集成服务门户(CCPortal): Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce

CCPortal

DOI	10.1016/j.enpol.2022.112960
	Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce
	Ma G.; Ma J.; Li H.; Wang Y.; Wang Z.; Zhang B.
发表日期	2022
ISSN	0301-4215
卷号	165
英文摘要	With the acceleration of China's urbanization and the increasing number of household appliances, the promotion of energy-saving products has attracted widespread attention. However, the influence of online reviews on energy-saving products, especially the influence of energy-efficiency-related textual reviews, has not been elucidated. Drawing upon product information and consumer comments from one of China's largest e-commerce platforms, we covered 1188 products and over 600,000 corresponding online textual reviews. After categorizing the textual reviews, we constructed a dictionary of energy-saving attitude. Based on an elaboration likelihood model (ELM), this study analyzes the influence of energy-saving related e-WOM on product sales by a linear regression model. With an intermediary role in consideration, this study also demonstrates the influence mechanism of online reviews on purchase decision through the central route (the effects of gross sentiment, e-WOM and review tag on product sales) and peripheral route (the effects of star rating and review numbers on product sales) in ELM. The results show that both the online reviews and the rating scores of energy star have a strong influence on product sales in a short period of time. The gross sentiment of an online review can influence product sales, which is wholly affected by the intermediary role of the star rating. The central route can also influence product sales indirectly through the peripheral route. © 2022 Elsevier Ltd
英文关键词	Big data analytics; Electronic word-of- mouth; Energy-saving products; Online reviews
语种	英语
scopus关键词	Big data; Data Analytics; Domestic appliances; Energy efficiency; Regression analysis; Sales; Stars; Customer behavior; E- commerces; Elaboration likelihood models; Electronic word-of- mouth; Energy savings; Energy-saving product; Energy-savings; Online reviews; Product sales; Star ratings; Electronic commerce; electronic commerce; energy efficiency; urbanization; China
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256211
作者单位	School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China; Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing, 100081, China; Center for Energy & Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China
推荐引用方式 GB/T 7714	Ma G.,Ma J.,Li H.,et al. Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce[J],2022,165.
APA	Ma G.,Ma J.,Li H.,Wang Y.,Wang Z.,&Zhang B..(2022).Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce.Energy Policy,165.
MLA	Ma G.,et al."Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce".Energy Policy 165(2022).