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Via an experimental approach, this study therefore seeks to examine the effects of outcome valence upon service perception in the higher education setting where academic services form the core service element. To further extend this inquiry, the purpose of this paper is to explore the carryover effect of these emotional states to a subsequent unrelated service encounter which is classified as a peripheral service element which is hedonic in nature.

By using a simulated laboratory experimental procedure involving 300 participants, the authors examined the extent to which a student’s feeling toward an online test result has a bearing upon the teaching evaluation and a subsequent service experience in a branded retail context.

The results gathered from this study highlight the variability of the carryover effect of outcome valence from a work-related service context that serves as incidental emotions to a subsequent unrelated service encounter which is hedonic in nature. From the results gathered, variations were observed in relation to the dynamics of outcome valence in affecting core service evaluation where teaching quality was assessed, and in the peripheral service context in the form of retail experience at a branded cafè. From the basis of these findings, the psychological role of retail stores operating in a valence-oriented industry such as the higher education is discussed in this study.

Essentially, this study contributes to the academic literature and managerial practices by extending the knowledge in the dynamics of valence and its impact upon service perceptions.

This study adopts a simulated experimental design to assess the transference effect of valence in specific service encounters. This methodological approach offers greater reliability compared to existing studies which undertake a retrospective approach via questionnaire survey to examine outcome valence in service experiences. The results from this study provide important managerial implications by assessing the impact of valence upon customer satisfaction ratings which are commonly used for performance appraisal of service staff members. Additionally, the outcome of this study potentially assist managers to account for incidental emotions which may have an impact upon customer’s service experience.

The influence of electronic word-of-mouth (eWOM) information, such as online reviews, on consumers’ decision making is well documented, but it is unclear if online reviews still matter in post-purchase evaluation and behaviours. The purpose of this paper is to examine the extent to which online reviews (aggregate rating (AR) and individual reviews (IR)) influence consumers’ evaluation and post-purchase behaviour by considering the valence congruence of online reviews and consumption experience (CE).

Following social comparison theory and relevant literature, the authors conduct an online experiment (pre-test: n=180; main study: n=347). The authors rely on a 2 (CE valence) ×2 (AR valence) ×2 (IR valence) between-subjects design.

Congruence/incongruence between the valences of CE, AR and IR affects consumers’ post-purchase evaluation at the emotional, brand and media levels and review-writing behaviour. In comparison to aggregated rating, IR are more important in the post-purchase stage. Similarly, consumers have a higher eWOM-writing intention when there is congruence between the valences of CE, AR and IR.

The authors demonstrate the importance of service providers continually monitoring their business profiles on review sites to ensure consistency of review information, as these influence consumers’ post-purchase evaluation and behaviours. For this reason, the authors illustrate the utility of why media owners of review sites should support the monitoring process to facilitate the engagement of both businesses and customers.

The authors break new ground by empirically testing the impact of online review information post-purchase seen through the theoretical lens of social comparison. The approach is novel in breaking down and testing the dimensions of post-purchase evaluation and behavioural intentions in understanding the social comparison elicited by online reviews in the post-purchase phase.

Online B2B markets offer buyers a new source of information provided by social media signals about suppliers. These signals have not yet received much attention in the supplier selection literature. This study advances our understanding of how buyers respond to social media signals in the supplier selection process.

We develop a choice-based conjoint experimental design to isolate and manipulate two signals from social media: volume (the number of ratings) and valence (average evaluation of the ratings). We test how these signals are interpreted in the context of varying deal sizes and price points.

Both volume and valence are positively correlated with supplier selection. However, (1) the signals exhibit diminishing returns and (2) the efficacy of valence is interpreted in the context of volume. We also find that (3) there is no influence of the deal size and that (4) the relationships between signals and supplier selection are negatively moderated by deviations from the reference price.

Social media signals should be considered in supplier selection decisions as they convey valuable information to the buyer. However, signals go through a process of interpretation which has implications for buyers, suppliers, and owners of online B2B markets.

Our research opens new lines of inquiry in behavioural operations management research regarding the mechanisms by which buyers interpret social media signals and how these ultimately influence their choice.

The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons.

Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded.

Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message.

Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.

The purpose of this paper is to understand the differences between organic (i.e. naturally occurring) and sponsored (i.e. marketer influenced) consumer-generated blog reviews, by examining how blog source and review valence can impact upon perceived credibility, brand attitude, and behavioural intentions.

This study used an online experiment, where participants were randomly assigned to one of six conditions in a 2 (blog source) × 3 (review valence) between-subjects factorial design.

The findings indicate that balanced reviews are perceived to be the most credible. Negative reviews led to the lowest ratings on brand attitude and purchase intention, while positive reviews led to the highest ratings on these two constructs. However, the effects of review valence were not found to differ based upon whether a blog was organic or sponsored.

The findings of this study extend and contribute to the knowledge of the impact of source and valence in electronic word of mouth settings. Moreover, the findings of this study provide practical insight into how consumers react to the sponsorship of blog web sites on the internet.

The purpose of this paper is to analyze the effect of signaling a review as the most helpful review according to other users’ votes on product attitude. Thus, the first study focuses on the influence of signaling a review as the most helpful on consumer attitude and analyzes whether the interaction between that signaled review and incongruent aggregate information in valence clarify the main effect. Additionally, the authors further investigate whether the level of fit between the consumer’s goals and the content of the signaled review moderates the initial effect.

The authors conducted two experiments: a 3 (presence of most helpful review) × 2 (overall valence) between-subjects design and a 2 (presence of a most helpful review) × 3 (level of fit between the consumers’ goals and the most helpful review content) × 2 (overall valence) design.

The results confirm that the presence of a “most helpful” review whose valence is incongruent with the overall valence of the reviews significantly impacts attitude towards the product. Specifically, the authors found that the impact of a review which has been voted as the most helpful on consumers’ attitudes depends on: the congruity between the valence of the most helpful review and the overall average valence of all the reviews received by the product; and the congruity between the consumer’s goals and the most helpful review content.

This paper contributes to the electronic WOM literature by examining how signaling a review as the most helpful affects attitude, being that effect moderated by the congruency between that signaled review and the aggregated overall valence of the reviews and the level of fit with the consumer’s goals.

While there has been extensive research on understanding the effects of online reviews on product sales, there is not enough investigation of the inter-relationships between online reviews, online search and product sales. The study attempts to address this gap in the context of the Indian car market.

The research uses text mining and considers six important review features volume, valence, length, deviation of valence, sentiment and readability within the heuristic and systematic model of information processing. Panel data regression is used along with mediation analysis to study the inter-relationships between features of reviews, online search and sales.

The study finds that numerical heuristic features significantly affect sales and online search, numerical systematic feature affects sales and the textual heuristic and systematic features do not affect sales or online search in the Indian car market. Further, online search mediates the association between features of reviews and sales of cars.

Although only car sales data from India is considered in this research, similar relationships between review features, online search and sales could exist for the car market of other countries as well.

This research uncovers the unique role of online search as a mediator between review features and sales, whereas prior literature has considered review features and online search as independent variables that affect sales.

This study aims to identify when and why receiving i-deals will result in an increase in affective commitment rather than continuance commitment. As affective commitment yields long-term benefits for organizations than continuance commitment, this work will help organizations accrue maximum benefits from granting i-deals.

This study develops a cognitive model delineating the process between i-deal receipt and the variation in i-dealers’ continuance or affective commitment.

After receiving i-deals, i-dealers’ perceived valence may change with i-dealers’ evaluations of i-deal resources under the condition of coworkers' negative reactions or organizational investment. The i-deal valence changes trigger i-dealers’ internal or external attributions of coworkers' negative reactions or organizational investment, which leads to the variation in continuance or affective commitment. The changes of affective commitment also affect the variation in continuance commitment.

Integrating expectancy theory and attribution theory, this research addresses inconsistent findings about i-deals’ effect on continuance or affective commitment by revealing the critical factors that lead to the variation in the two types of commitment. The proposed model offers new theoretical rationale for why i-dealers may not reciprocate the goodwill of i-deals to their organizations. This study suggests i-dealers will engage in attributions rather than being passive recipients of their coworkers' negative reactions, which challenges previous view that the effectiveness of i-deals is ultimately determined by coworkers' acceptance. This research also extends the i-deal dynamics literature by depicting how i-deal valence changes arise and influence continuance or affective commitment.

This study aims to investigate the merits of the unified model of task-specific motivation (UMTM) in predicting transfer of training and to investigate (relationships between) changes in UMTM components over time. In doing so, this study takes the multidimensionality of transfer motivation into account.

The authors collected data among 514 employees of the judiciary who filled in the UMTM questionnaire directly after the training and after three weeks. The data were analyzed by means of structural equation modelling.

The outcomes show that transfer motivation predicts transfer intention and transfer of training over time. Moreover, the study shows that (change in) transfer motivation is predicted by (change in) personal and contextual factors identified by the UMTM as antecedents of motivation.

This study describes the first longitudinal evaluation of the UMTM in the literature and shows its applicability for predicting transfer of training. It is also one of the few studies that investigate transfer motivation multidimensionally and the role it plays for transfer of training. As such, this study informs other transfer of training models about the nature of transfer motivation and how transfer of training could be predicted.

When the spread of online health rumors on social media causes public concerns, the public is calling for action. However, little study has investigated how Facebook reaction icons (expressing feelings function) affect online users' behavioral intentions (intention to trust and share) toward online health rumor posts. The current study addresses this gap by focusing on the effect of Facebook reaction icons in two conditions: Facebook reaction icons' presence (versus absence), and Facebook reaction icons' emotional valence (positive versus negative versus neutral). Moreover, the authors also investigated the interaction between Facebook reaction icons' emotional valence and online health rumor posts' framing headlines (gain versus loss).

The authors used a 7 (Facebook reaction icons: Love, Like, Haha, Wow, Sad, Angry and no icon) × 2 (Facebook framing headlines: gain and loss) between-subjects design, analyzing 507 samples from online users with one-way ANOVA and MANOVA.

Results show that online health rumor posts without Facebook reaction icons are more likely to negatively change online users' behavioral intentions than the posts with Facebook reaction icons; negative reaction icons (Sad and Angry) lower online users' behavioral intentions than positive reaction icons (Love and Like). Further, the incongruency effect of interaction (i.e. positive reaction icons with a negative message) would have more negative effects on online users' behavioral intentions than the congruency effect (i.e. positive reaction icons with a positive message).

This study has rich contributions to theoretical and practical implications for the Facebook platform and Facebook users to apply Facebook reaction icons against online health rumor posts.