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1.
Social commerce (s-commerce) has become increasingly impactful to e-commerce and has generated potential economic benefits. With the rise of online privacy concerns, we have seen the need to explain how concerns about privacy affect consumers’ social interaction behavior and purchase decision-making on s-commerce sites. Synthesizing the privacy-trust-behavioral intention (PTB) and consumer decision-making models, this study proposes a comprehensive model by specifically refining its privacy and trust from an institutional perspective and investigating the influences of social interaction on purchase intention and actual purchase behaviors. Our results found that institutional privacy assurance positively influences institutional-based trust, which, in turn, affects online social interactions, and consequently increases the likelihood of product purchases on s-commerce sites. Theoretical development of this research contributes to both marketing and information systems disciplines in the social media era. 相似文献
2.
社交购物中,产品功利价值感知和基于社交平台的享乐价值感知是决定消费者购买与否的最主要因素.而卖家信任对消费者购买意愿的影响作用会随情况不同发生变化甚至消失:当消费者与卖家的关系亲密程度较低或消费者已有购买意愿较弱时,信任能显著提高购买意愿;但在买卖双方社会关系较好或消费者已经形成较强的购买意愿的情况下,信任的影响作用会消失,即信任会影响最初决策过程的购买意愿,但不会影响立即购买决策. 相似文献
3.
This article describes in-depth research on machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in the case of the Czech language no systematic research has yet been conducted. We tackle this issue and establish a common ground for further research by providing a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methods for sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. We also experiment with five different feature selection algorithms and investigate the influence of named entity recognition and preprocessing on sentiment classification performance. Moreover, in addition to our newly created social media dataset, we also report results for other popular domains, such as movie and product reviews. We believe that this article will not only extend the current sentiment analysis research to another family of languages, but will also encourage competition, potentially leading to the production of high-end commercial solutions. 相似文献
4.
随着社会化商务的兴起,一种新的商业模式即社会化购物社区诞生了。对于社会化购物社区,消费者的购买转化率至关重要,然而到目前,还尚未有文献探讨社会化购物社区的技术特征对消费者购买意向的作用机制。本研究基于刺激-机体-反应框架,从认知信任和情感信任的集成视角,构建了社会化购物社区技术特征与消费者购买意向的关系模型。以社会化购物社区美丽说中的成员作为调查对象进行实证分析,结构方程模型分析结果表明,社交性技术特征显著正向影响消费者对社区诚实的认知信任和对社区的情感信任;自我参照性技术特征显著正向影响消费者的认知信任和情感信任;消费者对社区的认知信任和情感信任又最终对消费者通过社区购买产品的意向产生正向影响;情感信任对购买意向的作用要强于认知信任。研究结果为社会化购物社区提供商通过设计与监控社区的技术特征来提高社区的购买转化率提供了有价值的理论依据和建议。 相似文献
5.
《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
6.
Companies are increasingly relying on social media brand communities to interact with consumers and achieve business values. Thus, it is essential to understand how companies can extract value from consumers in social media brand communities. We develop a model clarifying the dual concept of consumer value and illustrating how consumer-perceived value can be transformed into consumer-generated value from a trust transfer perspective. Specifically, we identify three types of consumer-perceived value: utilitarian, hedonic, and social. We capture consumer-generated value in terms of purchase intention and social media word of mouth. Using a two-wave survey, our results strongly support the research model. Specifically, the three types of consumer-perceived values positively affect consumer trust in social media brand communities, which in turn leads to trust in brand and in social media and, thereafter, consumers’ subsequent social media word of mouth and purchase intentions. Our study makes several contributions to the strategic information systems literature concerning leveraging social media brand communities into business strategies. Theoretically, our study expands the understanding of the dual concept of consumer value in social media brand communities through the trust transfer theory. Practically, our study delivers insights for companies into how social media brand communities can be used as a strategic tool for achieving business values. 相似文献
7.
《International Journal of Information Management》2017,37(3):202-213
Due to the proliferation of Web 2.0 technology, e-commerce has evolved into social commerce. In this social commerce era, consumers are increasingly dependent on each other and look for social support (informational and emotional) online even before making purchases. This study examines the content of consumer reviews, a fundamental construct of social commerce. Topics expressed in consumer reviews (collected from Amazon.com) are explored using a machine learning technique (i.e. latent semantic analysis). This study documents the thematic differences between positive and negative reviews and finds that negative reviews report service-related failures while positive reviews relate more to the product, among other things. Next, the informational support aspect of social commerce is explored by identifying the topics expressed in reviews that are helpful in purchase decisions. The findings demonstrate that potential customers (i.e. those who would like to purchase a product in the near future and currently are reading reviews with the intention to decide whether or not to buy that product) find the negative reviews containing service failure information and the positive reviews containing information on core functionalities, technical aspects, and aesthetics to be more helpful. Theoretical and managerial implications are discussed. 相似文献
8.
《International Journal of Information Management》2017,37(3):179-189
Social commerce mediated by social media and social network platforms has led to the development of new business models in e-commerce and digitized the consumer decision journey. Social interaction is considered as a prerequisite for successful social commerce since consumers now expect an interactive and social experience while making purchase decisions. Drawing on word of mouth (WOM) and observational learning theories, we conceptualize social interactions in social commerce environments into two forms: WOM communication and observing other consumers’ purchases, and examine their impact on consumer purchase intention and actual purchase behavior. Analyzing primary data (n = 217) collected from surveyed active consumers within social commerce sites at two stages (pre-purchase and post-purchase), we found that positive and negative valence WOM, WOM content, and observing other consumers’ purchases significantly affect consumers’ intention to buy a product, thereby increasing the likelihood of actual buying and sharing product information with others on social commerce sites. 相似文献
9.
Spending real money on virtual goods and services has become a popular form of online consumer behavior, particularly among teenagers. This study builds on the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine the role of motivation, social influence, measured with perceived network size as well as user interface and facilitating conditions in predicting the intention to engage in purchasing in social virtual worlds. The research model is tested with data from 1045 users of Habbo Hotel, world's most popular virtual world for teenagers. The results underscore the role of perceived network size and motivational factors in explaining in-world purchase decisions. The study shows that virtual purchasing behavior is substantially influenced by the factors driving usage behavior. Hence, virtual purchasing can be understood as a means to enhance the user experience. For virtual world operators, reinforcing the sense of presence of user's social network offers a means to promote virtual purchasing. 相似文献
10.
With the decline in traditional television (TV) viewership, broadcasters are distributing TV clips online, i.e., brief, edited versions of full-length TV shows, as an alternative revenue source. Yet, there are challenges in gaining viewership of this new format, with a lack of understanding and research on what drives such viewing behavior. To fill this gap, this study draws on the theory of consumption values to develop a model explaining the decision factors that can predict online TV clip viewing behavior. We tested the model through a quantitative analysis of survey and archival (viewing logs) data from 398 viewers from a major provider of TV clips. The results indicate that, in addition to convenience and enjoyment, fandom and social viewing are unique factors predicting watching frequency and mediated by the continuance intention to watch online TV clips. Our study contributes to our understanding of the use of this new digital content format by integrating and extending concepts from the theory of consumption values. It also offers insights into how digital content providers can tap online TV clips as a revenue source. 相似文献
11.
网络口碑对消费者的购买意愿有重要的影响。采用系统的观点来研究社交网络中网络口碑与消费者购买意愿的动力学机制。从社会资本的角度出发,采用系统动力学,建立社会资本——网络口碑——购买意愿的动力学模型。模型的仿真结果表明,社会资本在社会化电子商务平台中,能够很好地提升网络口碑的传播效果,进而影响消费者的购买意愿。 相似文献
12.
在转型升级和新媒体传播背景下,本研究提出了本土新奢侈品品牌的概念,构建了基于新媒体传播为调节变量的产品感知、品牌感知、传统广告与消费购买意向的影响模型。同时,针对近400位顾客搜集了333份有效问卷,进行了实证分析。研究结果表明,新媒体传播在本土新奢侈品产品感知、品牌感知、传统广告与消费购买意向中发挥调节效应,即新媒体传播能增强本土奢侈品产品感知和品牌感知和传统广告对购买意向的影响。与传统广告"一闪而过"的形式不一样,新媒体传播更重视消费者参与,从"一过"到行动和积累,逐步让受众感到愉悦和产生口碑,借助线上线下(O2O)互动和媒介融合来发挥新媒体传播的威力,及找到本土新奢侈品品牌培育绝佳的营销途径。该研究发现为新媒体传播背景下本土新奢侈品品牌培育与路径探索提供了理论参考和实践贡献。 相似文献
13.
Social media live streams (SMLSs) are becoming mainstream e-commerce platforms, especially for direct selling, offering online retailers (e-tailers) immense consumer interaction and engagement levels. Despite their growing prevalence, e-tailers face difficulties capitalising on this platform to enhance retail operations. This paper explores how SMLSs affect consumers' purchase intentions by exploring their motivations for participating in e-commerce SMLSs. To this end, we used the uses and gratifications (U&G) theory to explain how using SMLSs to satisfy consumers' needs could lead to high or low purchase intentions. It was done by collecting cross-sectional data from 795 consumers who have participated in e-commerce SMLSs. The data were analysed using partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). Our findings revealed that people use SMLSs to satisfy their need for value, social identification, and the medium's attributes. Based on these findings, we show six configurations that lead to high or low purchase intentions and make corresponding theoretical propositions. Thus, our study contributes to the research and practice of using SMLSs for online shopping. 相似文献
14.
Elisa Claire Alemán Carreón Hirofumi Nonaka Asahi Hentona Hirochika Yamashiro 《Information processing & management》2019,56(4):1339-1355
Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere exposure effect as the source of influence in purchase intention and purchase decision; however, most of the studies of television advertisement effects are not only outdated, but their sample size is questionable and their environments do not reflect reality. With the advent of the internet, social media and new information technologies, many recent studies focus on the effects of online advertisement, meanwhile the investment in television advertisement still has not declined. In response to this, we applied machine learning algorithms SVM and XGBoost, as well as Logistic Regression, to construct a number of prediction models based on at-home advertisement exposure time and demographic data, examining the predictability of Actual Purchase and Purchase Intention behaviors of 3000 customers across 36 different products during the span of 3 months. If we were able to predict purchase behaviors with models based on exposure time more reliably than with models based on demographic data, the obvious strategy for businesses would be to increase the number of adverts. On the other hand, if models based on exposure time had unreliable predictability in contrast to models based on demographic data, doubts would surface about the effectiveness of the hard investment in television advertising. Based on our results, we found that models based on advert exposure time were consistently low in their predictability in comparison with models based on demographic data only, and with models based on both demographic data and exposure time data. We also found that there was not a statistically significant difference between these last two kinds of models. This suggests that advert exposure time has little to no effect in the short-term in increasing positive actual purchase behavior. 相似文献
15.
消费者企业社会责任认同水平的高低在一定程度上反映了当前消费者对企业社会责任行为重要性的认识和支持程度。研究以消费者认同为基础,从责任采购、经济责任、人权、环境保护、社会发展、产品责任、劳动实践和动物保护八个维度界定了消费者对企业社会在责任认同,并以食品行业为例进行问卷调查,采用SPSS和LISREL对所收集数据进行检验分析,验证了八个维度对购买意愿的影响作用以及行为态度的中介作用。结果表明:经济责任、人权、环境保护、社会发展和动物保护五个维度对购买意愿有显著的影响作用。行为态度对责任采购、环境保护和动物保护三个维度的影响起到了完全中介作用;对人权和社会发展只起到部分中介的作用。研究结论为企业寻找符合消费者期望的践行社会责任的着力点提供了理论依据。 相似文献
16.
Kem Z.K. Zhang Christy M.K. Cheung Matthew K.O. Lee 《International Journal of Information Management》2014
The prevalence of social media has provided consumers with many opportunities to post online reviews on a wide range of products on the Internet. In this study, we attempt to investigate the moderating effect of inconsistent reviews (i.e., a mix of positive and negative reviews) on consumers’ purchase decision. We further examine whether the effect will differ from female to male consumers. 相似文献
17.
Tingting Yang Fei Li Donghong Ji Xiaohui Liang Tian Xie Shuwan Tian Bobo Li Peitong Liang 《Information processing & management》2021,58(6):102681
Depression is a widespread and intractable problem in modern society, which may lead to suicide ideation and behavior. Analyzing depression or suicide based on the posts of social media such as Twitter or Reddit has achieved great progress in recent years. However, most work focuses on English social media and depression prediction is typically formalized as being present or absent. In this paper, we construct a human-annotated dataset for depression analysis via Chinese microblog reviews which includes 6,100 manually-annotated posts. Our dataset includes two fine-grained tasks, namely depression degree prediction and depression cause prediction. The object of the former task is to classify a Microblog post into one of 5 categories based on the depression degree, while the object of the latter one is selecting one or multiple reasons that cause the depression from 7 predefined categories. To set up a benchmark, we design a neural model for joint depression degree and cause prediction, and compare it with several widely-used neural models such as TextCNN, BiLSTM and BERT. Our model outperforms the baselines and achieves at most 65+% F1 for depression degree prediction, 70+% F1 and 90+% AUC for depression cause prediction, which shows that neural models achieve promising results, but there is still room for improvement. Our work can extend the area of social-media-based depression analyses, and our annotated data and code can also facilitate related research. 相似文献
18.
传统传播环境下企业营销传播活动对用户品牌态度形成具有显著影响,但社会化媒体的发展极大地改变了企业营销传播的生态环境,现阶段企业的社会化媒体传播并未获得预期影响力,需要从理论上对企业社会化媒体传播的策略及其影响因素进行创新性研究。本文采用实验研究方法,基于企业传播信息内容主题、信息源、传播策略与用户再传播意愿和品牌态度间关系的理论假设,实证研究发现:企业社会化媒体传播对用户品牌态度有正向显著影响;信息内容主题类型、信息源、传播组合策略对用户再传播意愿有显著影响;用户再传播意愿对用户品牌态度的影响不显著等。研究结论丰富了企业社会化媒体传播的理论研究,对企业社会化媒体传播实践具有指导意义。 相似文献
19.
Although brand pages on social media platforms are burgeoning, companies frequently have difficulty in sustaining customer relationships on their brand pages. Consequently, this study focuses on how a social media brand page develops customer commitment and encourages them to perceive that future conflicts with the company can be resolved for their mutual benefit. On the basis of a review of the literature on customer value theory and commitment, this study develops an integrative model that explores the antecedents of functional conflict and the boundary condition under which brand page commitment enhances functional conflict. The model is tested using data collected from 293 followers of brand pages on a social networking site. The results demonstrate the salient roles of customer values and commitment in determining customer perceptions of future conflicts. By shifting scholarly attention from economic outcomes characterized by purchase intention to relationship outcomes characterized by functional conflict, the findings contribute to the research of the business implications of social networking sites. 相似文献
20.
【目的/意义】本研究基于个体认知加工的视角,探索消费者对在线评论有用性的感知过程和感知结果,并揭示在线评论影响消费者购买决策的过程机制。【方法/过程】本研究以120名大学生为被试,开展2评论类型(客观VS主观)×2认知需求(高VS低)的眼动实验,探索消费者对于在线评论有用性的感知过程和感知结果。【结果/结论】结果表明:(1)与主观体验评论相比,消费者对客观属性评论的注视时间更长,感知有用性更大,购买意愿也更强;(2)与高认知需求者相比,低认知需求者的注视时间较短,感知有用性较大,购买意愿也较大;(3)认知需求显著调节评论类型对注视时间的影响,但对感知有用性和购买意愿的调节效应不显著。据此,建议相关企业采取个性化匹配的措施,使得评论类型能够切合消费者的认知需求水平,以便提高在线评论的感知有用性和消费者的购买意愿,从而做出更为满意的购物决策。 相似文献