共查询到19条相似文献，搜索用时 296 毫秒
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消费者在购买产品或服务时,总是希望借鉴他人的评价.信息技术的发展为企业提供了一个建立和管理线上消费者评论的平台.那么,线上消费者评论究竟能否影响产品的销量?应该从哪几个维度出发来衡量线上评论的作用?不同维度的效果又是怎样随产品生命周期而动态变化的?本文通过对当当网上3200多万条图书评论的大样本面板数据进行实证分析,发现线上消费者评论对图书的销量有显著的影响.其中,评论数量和评论效价对销量有显著的正向影响,评论差异有显著的负向影响.并且,线上评论的影响随产品生命周期而逐步减弱.当产品处于生命周期的早期,评论数量、评论效价和评论差异的影响均非常显著;而当产品处于生命周期的中后期,仅有评论数量还产生重要的作用. 相似文献
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网络零售环境中,在线评论对产品销量和消费者购买决策都产生了非常重要的影响.本文在对在线评论的内容和范围做出明确界定的基础上,分析影响消费者采纳在线评论意见的3个方面:有用性、可信度和其他调节因素,得出评论有用性的主要影响因素为:量、长度、星级、语言风格和内容离散度、内容一致性等,评论可信度的主要影响因素为价、论证质量、评论人可信度和评论人的专业度等,调节因素则主要为消费者已有信念、介入度和文化因素.最后,提出值得未来研究深入探讨的在线评论研究主题. 相似文献
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商品在线评论有用性——基于品牌的调节作用分析 总被引：1，自引：0，他引：1
商品的在线评论已经成为影响顾客进行在线购买的重要因素。本文以亚马逊（中国）网站为例,研究了在线评论、评论者的数字特征对评论有用性的影响。通过对五种在线商品的1 845条在线评论进行实证分析,研究发现：在线评论的评论长度和评论者排名对评论有用性具有正向影响,同时评论长度对有用性的影响受到品牌的调节作用。另外,评论星级对评论有用性的影响也受到品牌的调节作用,并且对于大品牌产品而言,评论的极端性与评论有用性呈"U"形关系。 相似文献
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【目的/意义】在线评论在消费者购买决策中的重要性日益凸显,探索电商平台消费者绿色产品在线评论信息采纳的影响因素,为进一步挖掘在线评论的商业价值、促进绿色产品的消费提供参考。【方法/过程】以TAM和ELM为理论基础,结合社会环境因素和消费者个体特质因素,构建电商平台消费者绿色产品在线评论信息采纳意愿的影响因素模型,运用结构方程模型进行实证检验。【结果/结论】结果表明评论质量和社会影响均对感知评论有用性产生正向影响,评论源可信度与感知评论有用性的关系不显著,感知评论有用性和社会影响又对评论采纳意愿产生正向影响,产品卷入度会调节消费者评论有用性的感知,而专业知识未能起到调节作用。 相似文献
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随着电子商务中在线评论的广泛应用,消费者购买决策越来越依赖于此,这意味着在线评论在一定程度上直接影响消费者购买决策。然而,随着在线评论的发展,鲜有学者全面分析在线评论特征对消费者购买决策的影响。因此,本研究综合提炼出在线评论特征,对其进行数据挖掘,以研究在线评论特征对消费者决策的影响,且利用xg Boost算法和F值度量法,对乳液产品的评论进行实证分析。研究发现:发送者可信度、评论数量、评论形式、评论效价、接收者专业性、接收者卷入度等评论特征均显著影响消费者购买决策。 相似文献
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With the presence of fake reviews on e-commerce platforms, the reliability of reviews becomes questionable. The extant literature demonstrates the impact of fake reviews on product sales and proposes several algorithms to prevent fake reviews from being displayed on the platform. However, what has largely remained uninvestigated is how customers perceive reviews present on the e-commerce platform. Based on the speech act theory, we develop a theoretical framework that explains how the linguistic style (both at the word and the structural level) acts as a cue for assessing a reviewer’s (in)sincere intentions. We evaluate the framework on a corpus of 120 online product reviews – each examined by at least 50 customers – using the fractional logit model. Results suggest that the communication style of a speaker reflects his/her intention. Reviews with less contextual embedding, argument structuring, and flattering through non-verbal cues trigger customers towards perceiving a review as deceptive. 相似文献
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《Information processing & management》2022,59(1):102784
Nowadays, online word-of-mouth has an increasing impact on people's views and decisions, which has attracted many people's attention.The classification and sentiment analyse in online consumer reviews have attracted significant research concerns. In this thesis, we propose and implement a new method to study the extraction and classification of online dating services(ODS)’s comments. Different from traditional emotional analysis which mainly focuses on product attribution, we attempted to infer and extract the emotion concept of each emotional reviews by introducing social cognitive theory. In this study, we selected 4,300 comments with extremely negative/positive emotions published on dating websites as a sample, and used three machine learning algorithms to analyze emotions. When testing and comparing the efficiency of user's behavior research, we use various sentiment analysis, machine learning techniques and dictionary-based sentiment analysis. We found that the combination of machine learning and lexicon-based method can achieve higher accuracy than any type of sentiment analysis. This research will provide a new perspective for the task of user behavior. 相似文献
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Examining the Influence of Emotional Expressions in Online Consumer Reviews on Perceived Helpfulness
《Information processing & management》2020,57(6):102266
Drawing on the cognitive appraisal theory of emotions and the attribution theory, this study extends existing research by examining how the emotional expressions influence perceived helpfulness of online consumer reviews (OCRs). We include two negative emotions (anger, fear) and two positive emotions (pride, surprise). Each of these four emotions can be described with respect to six emotional appraisal dimensions which containing certainty, pleasantness, attentional activity, anticipated effort, control and others’ responsibility. Hypotheses thus developed were empirically validated using the laboratory experiment in the context of restaurant services. Research results indicated that emotion expressions in OCRs have an indirect effect on perceived helpfulness through attribution about the reviewer's cognitive effort. We find that reviews with negative emotions are perceived to be more reviewer's cognitive efforts than positive emotions. More specifically, OCRs with negative emotions tend to comprise more diagnostic features related the product or service, and are more informative. We further examined whether the gender of reader moderates the relationship between different emotional expressions and perceived reviewer's cognitive effort. The results find that reviews conveying positive emotions tended to have a greater impact on male readers’ perception of reviewer's cognitive effort than those of female readers. Reviews conveying negative emotions were found to have a greater impact on female readers’ perception of reviewer's cognitive effort than that of male readers. The study results add to existing knowledge of the influence of emotional expression on perceived helpfulness, which will advance our understanding of information processing in the psychological mechanisms influencing the attitude. Applying the results from this study, restaurant service providers can make different coping strategy for discrete emotions and platform administrators can assistant reviewer express their emotions more precisely. 相似文献
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Using unique innovation survey data collected from a homogenous sample of firms in Pakistan, this paper presents an analysis of the firm level determinants of product innovation and its impact on firm performance. We employ a multi-stage structural model linking the decision of a firm to innovate, its innovation investment, product innovation, and firm performance using primary data from the textile and wearing apparel sector, which is the largest export sector of Pakistan. We find that product innovation leads to increased labor productivity as well as higher labor productivity growth. A 10 percent increase in innovative sales per worker is associated with a greater than 10 percent increase in labor productivity and labor productivity growth. On the determinants of innovation, we find that vertical knowledge flows from foreign clients and suppliers are important determinants of a firm's decision to innovate. Larger firms are more likely to engage in innovation, however, there is no significant evidence that they invest more in innovation. Exporting is positively associated with innovation performance and firms exporting to Europe and America are more likely to engage in innovation. There is mixed evidence on the impact of competition: foreign competition adversely affects a firm’s decision to innovate, whereas, local competition increases investment in innovation. Subsidies seem to have a crowding out effect since firms receiving national subsides invest less in innovation. Furthermore, firms that have higher investment in innovation, that are more productive, and that introduce organizational innovations have higher innovative sales per worker. 相似文献
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《Research Policy》2019,48(9):103798
This study adds to the product innovation literature by emphasizing the important yet understudied role of price distribution in shaping product demography (i.e. new product introductions and exits). While prior research has focused on market niches in the technological and geographic spaces in order to explain product demography, price space has received very limited attention despite the important role of price in the market. We posit that product dynamics are largely shaped by the existing price distribution. More specifically, we argue that local density in price space determines both the likelihood of existing products exiting the market and the rate of new products entering it. Analyzing product exit and entry in the U.S. workstation industry from 1980 to 1996, we find that while price density increases an existing product’s exit rate, new products are also more likely to enter the niches where the price density is high. We also draw attention to internal price density within multiproduct firms, analyzing a product’s price distance from the other products launched by the same firm. We find that this type of internal price density decreases both existing products’ exit rate and new products’ entry likelihood. Our emphasis on price space contributes to the literature on product innovation and demography. 相似文献
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采用我国1998—2008年30个省级行政区域本土大中型工业企业的面板数据,以新产品销售收入作为测度企业产品创新绩效的指标,应用动态面板数据模型,实证分析了外资研发对我国本土企业产品创新绩效的影响效果及其区域差异。结果显示:外资研发对我国本土企业产品创新绩效具有显著的正向影响;而且这种影响效应与外资研发在我国东、中、西部的区域分布格局一致,呈现出明显的"东高西低"梯度特征。针对实证研究结论,为促进我国本土企业从外资研发中获得更多技术溢出、提升我国本土企业的产品创新绩效,提出了对策建议。 相似文献
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品牌溢出效应已成为当前新产品扩散的重要影响因素。首先,本文针对品牌溢出效应下新产品扩散问题,从品牌累积效应和品牌比例效应两个角度,对经典Bass模型进行了拓展,构建了品牌溢出效应下新产品扩散模型。然后,通过性质分析发现,品牌累积效应越强,后续产品销量的峰值时间则到来越早,峰值销量和总销量则越大;而品牌比例效应的销量影响则依据关联创新效应和独立创新效应的大小而不同。最后,以电影为例,选取北美2016年1月至2017年6月上映的17个电影品牌的47部续集电影进行实证分析,结果显示构建模型在拟合绩效和预测绩效均有较好表现。 相似文献
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Web2.0时代,阅读在线产品评论已经成为人们购物前的一种习惯。然而,网络上的评论数量巨大且观点不一,消费者很难获取到真正对其有用的评论。本文从研究中文在线产品评论的有用性评估入手,结合中文在线评论的特点,构建了评论有用性评估特征体系。以二分类思想为中心,基于文本挖掘的基本流程,实现对中文产品评论的分类,并考察了评论内容各特征对分类效果的影响。结果表明,本文提出的评估方法能有效识别出有用评论,并且发现浅层句法特征在分类中的贡献度较高,语义特征与情感特征则会因语料类型的不同而有不同的分类贡献度。 相似文献