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《Information processing & management》2019,56(4):1425-1438
This paper extracted discrete emotions from online reviews based on an emotion classification approach, and examined the differential effects of three discrete emotions (anger, fear, sadness) on perceived review helpfulness. We empirically tested the hypotheses by analyzing the “verified purchase” reviews on Amazon.com. The findings of this study extend the previous research by suggesting that product type moderates the effects of emotions on perceived review helpfulness. Anger embedded in a customer review exerts a greater negative impact on perceived review helpfulness for experience goods than for search goods. Fear embedded in a review is identified as an important emotional cue to positively affect the perceived review helpfulness with more persuasive messages. As the level of sadness embedded in a review increases, perceived review helpfulness decreases. These findings contribute to a better understanding of the important role of emotions embedded in reviews on the perceived review helpfulness. This study also provides practical insights related to the presentation of online reviews and gives suggestions for consumers regarding how to select and write a helpful review. 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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与以往领导影响下属创新行为的研究多从正向促进视角切入不同，本研究探讨了高校科研团队中领导者积极/消极语言框架对科研人员创新行为的促进/抑制双向影响路径。通过采用三阶段式问卷调查法对高校科研团队中228位科研人员及其直接领导进行实证调研，回归分析结果显示：领导者积极语言框架与科研人员创新行为显著正相关，领导消极语言框架与科研人员创新行为显著负相关；同时，科研人员认知评价中介了领导者语言框架与科研人员创新行为间的关系；而且，领导—下属交换关系正向调节领导者积极语言框架对下属挑战性评价的影响作用。本研究对阐释高校科研团队中，领导者影响（促进/抑制）科研人员创新行为的心理机制具有重要的意义。 相似文献
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电子商务中在线评论有用投票数影响因素研究 总被引：1，自引：0，他引：1
在线评论对消费者购物选择具有重要的影响,但日益增加的海量信息导致了信息过载等问题。因此,判断和识别评论信息的有用性具有重要的研究意义。本文采用文本挖掘和统计分析方法,从评论信息特征和评论者信息两个角度,对在线评论获得有用投票数的影响因素进行了分析,并通过亚马逊商城的用户评论样本,具体研究了各因素的影响作用。研究发现：评论评分对在线评论的有用投票数具有负向影响,而评论信息丰富性和历史评论有用性评价对其具有正向影响。 相似文献
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任务紧迫性是项目管理中面临的常见问题,通过情景实验,模拟了时间限制下项目执行者的感知时间压力、情绪与创新行为交互作用的主要过程。实验结果说明,在项目实施过程中时间限制会加大项目执行者的感知时间压力并产生消极情绪,进而对创新行为带来不利影响;积极情绪的个体在面对较高的感知时间压力时趋向于选择规避风险较大的创新行为;积极的情绪在调节感知时间压力和创新行为之间起到正向调节作用,而外界的消极情绪极易对员工积极情绪带来负面影响。项目管理者应该结合任务的创新特征综合确定缓冲设置方案,重视压力管理和积极情绪的诱导,通过创新氛围的构建诱导员工积极投身创新活动。 相似文献
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《Information processing & management》2020,57(2):102179
Online review helpfulness has always sparked a heated discussion among academics and practitioners. Despite the fact that research has extensively examined the impacts of review title and content on perceptions of online review helpfulness, the underlying mechanism of how the similarities between a review' title and content may affect review helpfulness has been rarely explored. Based on mere exposure theory, a research model reflecting the influences of title-content similarity and sentiment consistency on review helpfulness was developed and empirically examined by using data collected from 127,547 product reviews on Amazon.com. The TF-IDF and the cosine of similarity were used for measuring the text similarity between review title and review content, and the Tobit model was used for regression analysis. The results showed that the title-content similarity positively affected review helpfulness. In addition, the positive effect of title-content similarity on review helpfulness is increased when the title-content sentiment consistency is high. The title sentiment also negatively moderates the impact of the title-content similarity on review helpfulness. The present research can help online retailers identify the most helpful reviews and, thus, reduce consumers' search costs as well as assist reviewers in contributing more valuable online reviews. 相似文献
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《International Journal of Information Management》2017,37(6):627-638
The proliferation of social commerce has changed customers’ purchase decision-making process. However, few studies have investigated the roles of social commerce factors on customers’ purchase decision-making. Based on the social learning theory, we develop a research model to examine how customers’ learning behavior along three main social commerce components (SCCs) affects customers’ attitude in both cognitive and affective dimensions and how such attitude determines customers’ purchase intention. The results from a survey of 243 actual users of social commerce websites suggest that cognitive and affective appraisals are the main predictors of purchase intention, with cognitive appraisal having a higher predictive power than affective appraisal. In addition, learning from forums and communities and learning from ratings and reviews have significant influences on both cognitive and affective appraisals, while learning from forums and communities plays a more important role in formulating affective appraisal and learning from ratings and reviews plays a more important role in determining cognitive appraisal. Contrary to our expectation, learning from social recommendations has no significant influence on either cognitive or affective appraisal. In summary, these findings provide a comprehensive understanding about customers’ purchase decision-making process and extend the application scope of social learning theory. The findings also provide social commerce managers guidance in designing more effective websites and allocating resources and efforts reasonably on different SCCs. 相似文献
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本文采用随机整群抽样的方式抽取某中学250名初中生,以自评抑郁量表（SDS）、状态-特质焦虑问卷（STAI）为测量工具,筛选抑郁、状态焦虑得分排在前30%的学生60名。以表达性写作实验和追踪测量相结合的方法,探讨表达性写作方式对中学生的抑郁、焦虑情绪干预的效果;分析情感表达与认知加工在表达性写作中的作用。结果表明：两种写作方式都能有效改善中学生负性情绪;表达性写作对负性情绪的影响是通过表达宣泄负面情绪后,经重新评价负性事件达到改变对负性事件的认知来改善负性情绪的。 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】转发行为是社交媒体上信息传播的重要方式,转发者添加的评论能够反映情绪状态与认知情
况,研究突发自然灾害事件背景下的转发评论有助于应急管理部门了解公众情绪走向和认知变化。【方法/过程】转
发型微博被再次转发时会产生转发级联并形成不同转发层级,本文利用LIWC软件从情绪和认知角度分析转发者
添加的评论内容,对比不同层级情绪得分和认知得分的差异以及转发评论中情绪和认知变化。【结果/结论】突发自
然灾害相关原始微博和转发评论的情绪和认知具有显著差异,用户在原始微博中倾向使用关于积极情绪、消极情
绪、洞察和原因的词;在不同转发层级中,表达积极情绪、洞察和矛盾的词的使用频率更高,且具有更大的波动;在
转发评论过程中,相同类型的情绪和认知显著正相关。【创新/局限】本文研究了转发者生成内容的特征,为应急管
理部门的灾后决策和舆情治理提供新视角,没有考虑添加评论对微博转发的影响,后续将对比不同转发微博的传
播效果。 相似文献
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本研究以ELM模型为研究框架,从用户处理评论信息过程的视角,探究对于不同属性的商品,用户感知评论有用性的行为和结果是否存在差异。利用Amazon.com上的5 420条有效评论样本进行实验,研究发现:商品类型会影响用户感知在线评论有用性的方式,进而对在线评论有用性产生调节影响;用户更偏向通过中心路径来感知搜索类商品评论信息有用性大小,而在感知体验类商品评论信息有用性时,需结合中心和边缘两条路径。 相似文献
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随着互联网的迅速发展,消费者购物决策越来越依赖于在线评论。从信息接受模型对信息有用性影响出发,构建在线评论有用性投票增量的时间窗,建立在线评论有用性影响因素模型,研究在线评论内容和评论者对在线评论有用性的影响。基于TripAdvisor.com的4 258条酒店评论数据,运用负二项回归进行实证分析。研究发现评论内容长度、评论极端性、评论有用性投票数、评论者认可度和个人信息披露对在线评论有用性具有显著正影响,这对在线零售商和消费者具有重要的启发和建议。 相似文献
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以90名大学生为被试,探讨不同情绪体验的情况下,大学生逻辑推理的特点。结果发现：（1）不同情绪体验组别大学生的推理得分差异显著,积极和消极情绪体验的得分显著低于无情绪体验组;（2）积极和消极情绪体验组的推理得分无显著差异：（3）性别的主效应不显著,且性别与不同情绪体验组别的交互作用也不显著。 相似文献
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Yusuke Mori Hiroaki Yamane Yoshitaka Ushiku Tatsuya Harada 《Information processing & management》2019,56(5):1865-1879
Creativity is considered a human characteristic; creative endeavors, including automatic story generation, have been a major challenge for artificial intelligences. To understand how humans create and evaluate stories, we (1) construct a story dataset and (2) analyze the relationship between emotions and story interestingness. Given that understanding how to move readers emotionally is a crucial creative technique, we focus on the role of emotions in evaluating reader satisfaction. Although conventional research has highlighted emotions read from a text, we hypothesize that readers’ emotions do not necessarily coincide with those of the characters. The story dataset created for this study describes situations surrounding two characters. Crowdsourced volunteers label stories with the emotions of the two characters and those of readers; we then empirically analyze the relationship between emotions and interestingness. The results show that a story’s score has a stronger relationship to the readers’ emotions than the characters’ emotions. 相似文献
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以信任、感知风险和创新开放度理论为基础,构建影响中小企业科技服务购买意愿的概念框架并提出研究假设予以论证。以324家宁波中小企业为样本进行实证研究,结果表明：供应商信任(认知信任、情感信任)对企业科技服务购买意愿具有显著正向影响,而感知风险对企业科技服务购买意愿产生显著负向影响；供应商信任与科技服务感知风险之间具有显著负相关关系,且情感信任维度相关性更高；创新开放度对供应商情感信任、感知风险与企业科技服务购买意愿关系的调节作用显著。 相似文献
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【目的/意义】通过研究微博社区网民的情感交互与舆情观点,有助于在复杂的网络中掌握网民情绪演化从而良性引导网络舆情态势。【方法/过程】基于传播动力学、社会安全阀等理论,结合微博社区中的实际案例,定义事件利益主体并抽象出事件演化的全生命周期,同时,构建SIR演化博弈模型刻画网民情绪的动态演化规律及主体决策博弈演化过程,并通过仿真模拟分析得到系统演化至稳定状态的均衡条件。【结果/结论】结果表明:微博社区中意见领袖与官方媒体感知收益与风险的敏感度对决策行为产生显著影响;官方媒体及时设置有效议程构建安全阀能够防止网民情绪恶化;意见领袖与官方媒体的协同引导能够最大效度地帮助政府管控网络舆情。 相似文献
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People express themselves through posts or selfies with brands and activities on social networking sites (SNSs) such as Facebook and Instagram. This user-generated content provides adequate social information that may elicit the emotions of users who are exposed to such content on these online platforms. Although academic researchers have focused on factors affecting users’ emotions on SNSs, how users reconcile both positive and negative emotions to their attitude and behavior in triadic interactions remains unclear. The current study attempted to answer this research question through the lens of social comparison theory by investigating the effects of tie strength and focus of attention as two forces eliciting online social comparisons on emotional consequences measured through pleasure and envy. Moreover, the dualistic effects of the two distinct types of envy, namely benign and malicious, and the effect of pleasure on users’ approach and avoidance behavior were explored and hypothesized. The results indicated that strong ties triggered more benign envy compared with malicious envy. Furthermore, benign envy positively affected brand attitude and SNS avoidance in terms of exhaustion, whereas malicious envy negatively influenced brand attitude and increased the likelihood of SNS avoidance in terms of both exhaustion and discontinuance. 相似文献
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在充满市场竞争的现代服务业中,情感耗竭日益成为一种普遍的现象。本文首次根据479份银行柜员的问卷调查,通过构建一个有调节的中介模型,运用多元回归统计分析方法,研究了员工情绪智力对情感耗竭影响关系的路径及条件。结果表明：情绪智力对情感耗竭具有负向预测作用;情绪劳动策略中的表面扮演和深度扮演,分别中介了情绪智力对情感耗竭的影响关系;组织支持感是劳动策略影响情感耗竭的作用条件;组织支持感调节了劳动策略在情绪智力与情感耗竭之间的间接作用,即在组织支持感处于较低的前提下,情绪智力更多地通过表面扮演对情感耗竭构成影响效应,而在组织支持感较高的条件下,情绪智力更多地通过深度扮演对情感耗竭产生影响作用。相对于以往相关研究而言,这些成果既丰富和拓展了情绪智力等相关主题的理论研究,又可以对减轻情绪性工作员工的情感耗竭体验,发挥重要的实践价值。 相似文献