Gift or threat? An examination of voice of the customer: The case of MyStarbucksIdea.com

In Web 2.0 environment, the influence of customers’ voices is increasing. Many companies have built their online brand communities for listening to the diverse voices of the customer (VOC) and promoting customer’s engagement. The information obtained from these brand communities is exploited for organizational innovation. However, the VOC with negative contents could possibly present threats to a firm in an online context. In this study, we develop a research model that includes the types of customer expectations, opinion leader engagement, negative valence of VOC, interaction, and innovation. Subsequently, we empirically validate the effects of customer expectations on the interactions among community members and organizational innovation by using a dataset from MyStarbucksIdea.com. The results show that the effects of VOC on the interaction within a brand community and organizational innovation are different depending on the types of expectation in the VOC. Opinion leaders’ engagement positively affects the interaction among community members. Moreover, the negative valence of VOC affects the relationships between customer expectations and interactions, and results in a possible threat within an online brand community. The research results give some insight into managing the brand community and analyzing the VOCs so as to achieve organizational innovation.     

Exploring the effect of user engagement in online brand communities: Evidence from Twitter

Social media such as forums, blogs and microblogs has been increasingly used for public information sharing and opinions exchange nowadays. It has changed the way how online community interacts and somehow has led to a new trend of engagement for online retailers especially on microblogging websites such as Twitter. In this study, we investigated the impact of online retailers' engagement with the online brand communities on users' perception of brand image and service. Firstly, we analysed the overall sentiment trends of different brands and the patterns of engagement between companies and customers using the collected tweets posted on a popular social media platform, Twitter. Then, we studied how different types of engagements affect customer sentiments. Our analysis shows that engagement has an effect on sentiments that associate with brand image, perception and customer service of the online retailers. Our findings indicate that the level, length, type and attitude of retailers' engagement with social media users have a significant impact on their sentiments. Based on our results, we derived several important managerial and practical implications.     

“When Is Short,Sweet?” Selection Uncertainty and Online Review Presentations

Online customer reviews are an important part of e-commerce product selection. When used effectively, online reviews may reduce the uncertainty inherent in making product selection decisions online, but how best to deal with thousands of online customer reviews? Past research considers online review summarization, where reviews are reduced to numeric ratings, key phrases, keywords or product characteristics. However, in their original form, online reviews contain the carefully crafted narratives of past customers, elements of which may not be amenable to summarization. In this research, we present findings of a laboratory experiment which examines the impact of review summarization when evaluating different types of products online. Key findings include evidence that perceptions of product selection uncertainty depend on online review presentation format and the category of the product under consideration. Additionally, the study provides evidence that the e-commerce retailers may benefit from varying online review presentations across specific types of products.     

The role of social media in enhancing guanxi and perceived effectiveness of E-commerce institutional mechanisms in online marketplace

This study extends literature on e-commerce trust and repurchase intentions by exploring the role of swift guanxi and the perceived effectiveness of institutional mechanisms (PEEIM) in the context of a Chinese e-marketplace – Taobao. We explore how Taobao’s social media technologies (online reviews and instant messenger) can improve swift guanxi and PEEIM by increasing online interactivity and presence. We find that buyers’ PEEIM negatively moderates trust in online sellers and repurchase intentions. We show that swift guanxi, created by social media’s interactivity and presence, enhances trust, which further increases repurchase intentions. Theoretical and managerial implications and future research directions are discussed.     

Consequences of customer engagement behavior: when negative Facebook posts have positive effects

Sharing product information has become an integral part of today’s online social networking world. This research study addresses the effects of customer engagement behavior in online social networks on other consumers in order to understand how online social connections impact decision making. We investigate how different variations of a brand-related Facebook post trigger different response reactions. In particular, we analyze under which conditions negative posts can have positive consequences. The results of two online experiments set in a restaurant context suggest a difference when the user knows the restaurant brand. For users who are familiar with the restaurant brand, a positive effect of negative information posted by distant acquaintances is found with regard to the visiting intention of the user. The results of both experiments demonstrate that information posted by a close friend is perceived to be more diagnostic. For users not familiar with the restaurant brand, negative posts from strong ties induce the highest diagnosticity levels.     

Becoming Friends in Online Brand Communities: Evidence From China

With the aid of information technology, consumers have increasingly engaged in social interaction in online brand communities. How can these strangers make friends online? Drawing on embeddedness theory and media richness theory, we examine the antecedents and intermediate mechanisms of online friendship. We theorize that online brand community interactivity aided by instant messaging technology is the main driving force of online friendship, whereas social presence and a sense of yuan (a Chinese concept describing predetermined relations) mediate online friendship development. Online friendship in turn enhances consumer online brand community commitment. We test our conceptual model with a sample of consumers from Chinese online sporting goods forums. The results support our hypotheses and inform online brand community research and practice.     

When trust and distrust collide online: The engenderment and role of consumer ambivalence in online consumer behavior

Trust and distrust are both considered to be crucial in online truster–trustee relationships. Although some research has proposed that trust and distrust are distinct, other research continues to hold that they are merely opposite ends of the same continuum. Given this debate, it is important to consider how distrust is distinguished from trust. To that end, this paper extends the nomological network of distrust and introduces two novel antecedents never introduced in online behavior literature: situational abnormalities and suspicion. For this nomological network, we also propose that trust and distrust coexist in online e-commerce relationships and can result in ambivalence when they both have high attitudinal values (represented in emotions, beliefs, or behaviors).Using an empirical study of online consumer behavior with 521 experienced online consumers, we found strong empirical validation for our newly proposed model. We provide evidence that suspicion and situational abnormalities are separate, important antecedents to distrust. We also examine the effect of ambivalence on the truster’s intentions toward the website and find a small positive effect that increases the user’s intentions toward the website. Finally, we empirically demonstrate the coexistence of trust and distrust as separate constructs and emphasize that distrust has a much larger impact on the truster’s intentions than does trust. We conclude with implications for theory and practice, along with a discussion of the limitations of and future opportunities revealed by this study.     

Interpersonal influence on online game choices

Several theories stress the importance of interpersonal influence on an individual’s adoption of a product or service. However, there has been little research that empirically examined how online friends influence an individual’s online product choices. This study examines the effect of a game player’s online friends who adopted a game earlier than the player on the likelihood that the player adopts the game. Two main factors considered in this study are: (1) the number of online friends who adopted a game earlier and (2) the strength of ties between the player and the player’s online friends who adopted the game earlier. Using a hazard model with data on 1,668 game players’ gaming activities and relational connections, we find (1) the likelihood that a player adopts a particular game increases the more her online friends adopted the game earlier, and (2) the influence of the prior adopter friends on the likelihood that a player adopts the game varies with the strength of ties between the player and her prior adopter friends. But the p-values of the coefficients for the corresponding independent variables are larger than the conventional cutoff point, 0.05. Possible causes for this statistical insignificance are discussed in the text.     

Performance analysis of keyword advertising campaign using gender-brand effect of search queries

In this research, we analyze the relationship among (1) the performance metrics of a sponsored search campaign, (2) the gender orientation of queries, and (3) the occurrence of branded terms in queries. The aim of this research is to investigate the effectiveness of increased personalization of search engine advertising in order to improve the consumer’s online experience. We segregate keyphrases from a dataset covering thirty-three consecutive months from a major US retailer consisting of 7 million daily records of a real time keyword advertising campaign into three gender categories (male, female and neutral) each with two groups (branded and unbranded) term usage. Using ANOVA, we analyze the effect of gender and brand keyphrases on critical sponsored search performance metrics of impressions, clicks, cost-per-clicks, sales revenue, orders, items purchased and return on advertising. Research findings show that the combination of brand focus with the gender-orientation of keyphrases is a significant factor in predicting sponsored search performance and behavior. There are statistically significant variations in consumer behavior as measured by sponsored search metrics among the gender categories. Specifically, females are more attracted to the use of branded terms than males, perhaps due to the trust and customer loyalty generated by brand image. Our results establishes that positive brand reputation creates dramatic influence on consumer’s loyalty over the brand and hence strongly affects their interests, activities and purchasing behavior in e-commerce environment.     

An examination of the celebrity endorsements and online customer reviews influence female consumers’ shopping behavior

The goal of this study is to compare the influence of celebrity endorsements to online customer reviews on female shopping behavior. Based on AIDMA and AISAS models, we design an experiment to investigate consumer responses to search good and experience good respectively. The results revealed that search good (shoes) endorsed by a celebrity in an advertisement evoked significantly more attention, desire, and action from the consumer than did an online customer review. We also found that online customer reviews emerged higher than the celebrity endorsement on the scale of participants’ memory, search and share attitudes toward the experience good (toner). Implications for marketers as well as suggestions for future research are discussed.     

The effects of social media based brand communities on brand community markers,value creation practices,brand trust and brand loyalty

Social media based brand communities are communities initiated on the platform of social media. In this article, we explore whether brand communities based on social media (a special type of online brand communities) have positive effects on the main community elements and value creation practices in the communities as well as on brand trust and brand loyalty. A survey based empirical study with 441 respondents was conducted. The results of structural equation modeling show that brand communities established on social media have positive effects on community markers (i.e., shared consciousness, shared rituals and traditions, and obligations to society), which have positive effects on value creation practices (i.e., social networking, community engagement, impressions management, and brand use). Such communities could enhance brand loyalty through brand use and impression management practices. We show that brand trust has a full mediating role in converting value creation practices into brand loyalty. Implications for practice and future research opportunities are discussed.     

Toward an Understanding of Consumer Attitudes on Online Review Usage

ABSTRACT

With the rapid e-commerce growth and changes in consumers’ behaviors, many businesses are forced to adapt their business model to match their target customers’ needs. To provide consumers with more product details and increase their confidence in making online purchases, online businesses offer an online review as an alternative to physically interacting with a product. Although consumers have become familiar with the use of online product reviews, many aspects of user behavior toward the usage of online reviews are still not well understood. This study explores the factors underlying the acceptance of consumers’ online review usage when considering purchasing an item. The study results provide insight into the factors that affect customers’ use of online reviews prior to a purchase. This study furthers the body of knowledge that deals with online reviews and system usage, providing results that allow e-commerce businesses to adapt their business model to better fit consumers’ expectations.     

A digital revolution: Comparison of demographic profiles,attitudes and gambling behavior of Internet and non-Internet gamblers

Internet gambling is one of the fastest growing sectors of e-commerce and rapidly growing as a mode of gambling. Although Internet gambling is characterized by high levels of customer choice, little is known about Internet gamblers or their engagement with Internet and non-Internet forms of gambling. Regulators are struggling to respond to Internet gambling given that little is known about the impact of this mode of gambling on the existing gambling market, who is gambling online and how. This paper presents one of the largest studies of Internet gambling; an online survey completed by 6682 Australian gamblers. Results show that Internet gamblers are a heterogeneous group, although there is a tendency for Internet gamblers to be male, have high incomes and be well educated. Internet gamblers have more positive attitudes towards gambling and are more highly involved gamblers, engaging in many different gambling activities in both online and offline forms. However, a proportion of Internet gamblers prefer the privacy and anonymity of Internet gambling and do not like land-based venues, suggesting that Internet gambling is creating a new market of gambling customers. Understanding the impact of this new mode of gamblers on existing gamblers and new players is important to contribute to the appropriate regulation of this activity.     

Towards effective online review systems in the Chinese context: A cross-cultural empirical study

Online reviews, as one kind of quality indicator of products or service, are becoming increasingly important in influencing purchase decisions of prospective consumers on electronic commerce websites. With the fast growth of the Chinese e-commerce industry, it is thus indispensable to design effective online review systems for e-commerce websites in the Chinese context, by taking into account cultural factors. In this paper, we conduct two empirical studies on online reviews. Firstly, we study how culture differences across countries (i.e., China and the USA) impact the way in which consumers provide online reviews. Secondly, we investigate the impact of online reviews on product sales in the Chinese context, and show that directly copying the ideas of successful online review systems in the USA will deteriorate the effectiveness of the systems in China. Finally, we propose several suggestions for the development of effective online review systems in the Chinese context based on the results of our two empirical studies and the findings in previous studies.     

Trust and commitment within a virtual brand community: The mediating role of brand relationship quality

This study seeks to clarify the antecedents and consequences of trust and commitment within the brand fan page context on Facebook, examining a sample of 210 respondents using structural equation modeling. The results highlight the positive effect of economic and hedonic benefits on trust and commitment within the brand fan page. Mediation analysis reveals that trust and commitment developed within the brand fan page will be transformed into positive “word of mouth” for the respective brand if fans have a strong relationship quality with the brand. Further, we found that young and female fans with a high level of engagement, having a strong relationship with the brand, spread positive WOM. Our findings broaden ways for developing relational governance in a firm-initiated virtual brand community by providing new levers and guidance for marketers to build strong customer relationships.     

Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth

Twitter, the popular microblogging site, has received increasing attention as a unique communication tool that facilitates electronic word-of-mouth (eWOM). To gain greater insight into this potential, this study investigates how consumers’ relationships with brands influence their engagement in retweeting brand messages on Twitter. Data from a survey of 315 Korean consumers who currently follow brands on Twitter show that those who retweet brand messages outscore those who do not on brand identification, brand trust, community commitment, community membership intention, Twitter usage frequency, and total number of postings.     

Dynamical mining of ever-changing user requirements: A product design and improvement perspective

Previous studies carried out customer surveys by questionnaires to collect data for analyzing consumer requirements. In recent years, a large and growing body of literature has investigated the extraction of customer requirements and preferences from online reviews. However, since customer requirements change dynamically over time, traditional studies failed to obtain the change data of customer requirements and opinions based on sentiments expressed in reviews. In this paper, a new method for dynamically mining user requirements is proposed, which is used to analyze the changing behavior of product attributes and improve product design. Dynamic mining differs from the traditional need acquisition mainly in three aspects: (1) it involves dynamically mining user requirements over time (2) it adds changes in manufacturers’ opinions to the analysis (3) it allows for product improvement strategies based on the changing behavior of product attributes. First, text mining is adopted to collect customer and manufacturer review data for different time periods and extract product attributes. A Natural Language Processing tool is used to measure the importance weight and sentiment score of product attributes. Second, an approach for dynamically mining user requirements is introduced to classify product attributes and analyze the changes of attribute data in three categories over time. Finally, an improvement strategy for next-generation product design is developed based on the changing behavior of attributes. Moreover, a case study on vehicles based on online reviews was conducted to illustrate the proposed methodology. Our research suggests that the proposed approach can accurately mine customer requirements and lead to successful product improvement strategies for next-generation products.     

Business engagement on Twitter: a path analysis

Social media services, such as Twitter, enable commercial businesses to participate actively in online word-of-mouth communication. In this project, we examined the potential influences of business engagement in online word-of-mouth communication on the level of consumers’ engagement and investigated the trajectories of a business’ online word-of-mouth message diffusion in the Twitter community. We used path analysis to examine 164,478 tweets from 96,725 individual Twitter users with regards to nine brands during a 5-week study period. We operationalized business engagement as the amount of online word-of-mouth messages from brand and the number of consumers the brand follows. We operationalized consumers’ engagement as the number of online word-of-mouth messages from consumers both connecting to the brand and having no connection with the brand as well as the number of consumers following the brand. We concluded that the business engagement on Twitter relates directly to consumers’ engagement with online word-of-mouth communication. In addition, retweeting, as an explicit way to show consumers’ response to business engagement, indicates that the influence only reaches consumers with a second-degree relationship to the brand and that the life cycle of a tweet is generally 1.5 to 4 hours at most. Our research has critical implications in terms of advancing the understanding of the business’s role in the online word-of-mouth communication and bringing insight to the analytics of social networks and online word-of-mouth message diffusion patterns.     

评论信息抽取技术在网络贸易系统平台上的应用

准确挖掘购物网站中的用户评论对商家和顾客进行有效的推荐具有重要作用.本文研究了现有的网络贸易系统平台的功能模块,给出了用户评论信息抽取的具体方法,并指出用户评论信息抽取模块应用到网络贸易系统平台的优势和实际意义.     

Online customer service and emotional labor: An exploratory study

The recent growth of service industries as well as the rise of e-commerce has increased the number of online customer service workers. Research on face-to-face service work has shown that these workers are expected to display certain emotions in the course of their work, a phenomenon known as emotional labor. However, little is known about emotional communication among online customer service workers. We explored emotional labor in an online context by examining the degree of emotional presence in mediated service interactions and its relationship with workers' acting strategies (i.e., surface acting, deep acting). Further, we examined if emotional presence and acting strategies predict job satisfaction as well as burnout. Data collected from 130 online customer service workers indicated that they perceive the highest emotional presence in phone conversations, followed by email and chat. Although there was little relationship between emotional presence and acting strategies, those who engage in surface acting are less satisfied with their job and more likely to experience burnout. In addition, those who feel a higher degree of emotional presence over the phone tend to experience higher job satisfaction and less burnout. These findings suggest that online customer service workers also engage in emotional labor.