Does expressing subjectivity in online reviews enhance persuasion?

2018 ◽  
Vol 35 (4) ◽  
pp. 403-413 ◽  
Author(s):  
Stephanie Q. Liu ◽  
Marie Ozanne ◽  
Anna S. Mattila

Purpose People express subjectivity and objectivity in everyday communication, yet little is known about how such linguistic content affects persuasion in electronic word-of-mouth (eWOM). Drawing on the congruity theory and the selectivity model, the present study proposes that the effectiveness of subjectivity/objectivity expressions in an online review is contingent on whether the consumption experience is primarily hedonic or utilitarian, and whether the decision maker is a male or female. Furthermore, this study aims to examine the psychological mechanism that underlies the proposed effects. Design/methodology/approach This research used an experimental design to test the hypotheses. Four versions of online review stimuli were created. Participants were asked to read the online reviews and to complete a survey. Findings The findings indicate that expressing subjectivity (vs objectivity) in online reviews effectively boosts men’s purchase intention in the hedonic context and women’s purchase intention in the utilitarian context. Furthermore, the mediation analysis reveals that perceived relevance of the review is the psychological mechanism explaining the joint effects of linguistic style, consumption type and gender on purchase intention. Originality/value This research is the first to examine expressing subjectivity (vs objectivity) as a persuasion strategy in online reviews. Findings of this research add to the growing literature on linguistic effects in eWOM. Furthermore, this research deepens the understanding of conversational norms for hedonic vs utilitarian consumption in consumer-generated content and gender differences in processing online reviews.

2019 ◽  
Vol 2 (2) ◽  
pp. 155-175 ◽  
Author(s):  
Jing Huang ◽  
Yulang Guo ◽  
Cheng Wang ◽  
Lei Yan

Purpose The purpose of this paper is to examine the role of online review’s tactile cues in consumer’s purchase intention, given the absence of direct experience in online shopping. Design/methodology/approach Based on four empirical studies, the authors examine the role of online review’s tactile cues in consumer’s purchase intention. A secondary data analysis on Taobao and three experiments were conducted. Findings First, this research demonstrates that tactile cues in online reviews are sure to have a significant influence on consumers’ purchase intention. Second, the purchase intention of consumers is easily influenced by the reviews of holistic tactile cues of the search product, which affects the final purchase intention through the way of outcome simulation. Consumers’ purchase intention is also easily influenced by concrete tactile cues of experience product, which affects the final purchase intention through the way of process simulation. Temporal distance is the boundary condition. Practical implications A seller should manage the order of online review or labels related to corresponding tactile cues, in order to encourage consumers to comment on the relevant tactile features. Besides, in the aspect of website design, a seller can also encourage consumers to image about the process and the result of using so as to promote his sales volume. Social implications The conclusion may give a solution on how to deal with the absence of direct experience in online shopping. Originality/value There has been little research about the influences of others' tactile behaviors on consumers' behaviors. The authors focus the other tactile experience in online review. The previous studies on online reviews focus on the its influences of valence, quantity and sentiment polarity on the usefulness of reviews and sales volume. However, few studies are explored on contents of reviews. The authors focus on the content such as tactile cues.


2017 ◽  
Vol 29 (2) ◽  
pp. 648-668 ◽  
Author(s):  
Laurie Wu ◽  
Han Shen ◽  
Mimi Li ◽  
Qian (Claire) Deng

Purpose This study aims to address a novel information sharing phenomenon among many hospitality consumers, that is, sharing information during, rather than weeks after, a hospitality consumption experience. Specifically, this study tests if including a temporal contiguity cue in a review can significantly enhance the purchase intention of other consumers toward the reviewed business. Design/methodology/approach A 2 (personal sense of power) × 2 (temporal contiguity cue: manipulated to be absent vs present) quasi-experiment was conducted in this research. Floodlight analysis with the Johnson–Neyman technique was used to test the interaction effect. Hayes’ PROCESS procedure was used to test the mediation effects. Findings The study found that, for powerless consumers, temporal contiguity cue can effectively enhance the perceived trustworthiness of the review and purchase intention toward the reviewed business. Conversely, for powerful consumers, temporal contiguity cue can significantly reduce the perceived trustworthiness of the review and purchase intention toward the business. Mediation test further revealed evidence for the underlying psychological mechanism for these effects. Originality/value Revealing the mixed effects of a novel factor, temporal contiguity cue, on consumer responses toward online hospitality reviews, the current research contributes to the expanding stream of theoretical and managerial knowledge on online review management in social media platforms.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fei Qiao ◽  
William Glenn Griffin

Purpose This study aims to investigate the effectiveness of a brand imitation strategy for the package design of male-targeted, female-targeted and gender-neutral products. Design/methodology/approach Three (2 × 2 × 2) between-subjects factorial experiments were conducted with three independent variables, namely, visual shape, color and logo, each classified as relevant/divergent. The dependent variables were participants’ attitudes toward the brand, attitudes toward the product and purchase intention. Findings There were no significant main effects or interactions for the male-targeted product. The results for the female-targeted product revealed no significant main effect of visual shape, a significant main effect of color and significant two-way interactions between visual shape and color and between visual shape and logo. Significant main effects were found for visual shape and color for the gender-neutral product. Practical implications A color scheme similar to that of a leading brand in the same product category more powerfully influenced participants’ attitudes and purchase intention, while a more holistically similar design had greater impact than a less holistic design. Some “divergence” or distinctive design elements of the female-targeted product positively influenced participants’ attitudes and behavior. These findings suggest that a brand imitation strategy offers a means for competing in the marketplace, but should be used with caution. Originality/value A conceptual continuum of brand imitation is proposed, incorporating visual semiotics, creativity theory and gender differences in cognitive styles to provide a more systematic method for delineating brand imitation levels.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Isabel Lopes ◽  
Nathalie Dens ◽  
Patrick De Pelsmacker ◽  
Freya De Keyzer

PurposeThis study aims to assess the relative importance of the argument strength, argument sidedness, writing quality, number of arguments, rated review usefulness, summary review rating and number of reviews in determining the perceived usefulness and credibility of an online review. Additionally, the authors use insights from the elaboration likelihood model (ELM) to explore the effect of consumers' product category involvement on the cues' relative importance.Design/methodology/approachA conjoint analysis (N = 287) is used to study the relative importance of the seven previously mentioned attributes. A balanced orthogonal design generated eight cards that correspond to individual reviews. Respondents scored all eight cards in a random order for perceived usefulness and credibility.FindingsOverall, argument strength is the most important cue, while summary review rating and the number of reviews are the least important for perceived review usefulness and credibility. The number of arguments is more important for people who are more highly involved with the product, while writing quality and rated review usefulness are relatively more important for the low-involvement group.Originality/valueThis study provides a comprehensive test of how consumers perceive online reviews, as it the first to the authors’ knowledge to simultaneously investigate a large set of cues using conjoint analysis. This method allows for the implicit valuation (utility) of the individual cues, revealing the cues' relative importance, in a setting that comes close to a real-life context. Besides, insights of the ELM are used to understand how the relative importance of cues differs depending on the level of review readers' product category involvement.


2019 ◽  
Vol 21 (3) ◽  
pp. 347-367
Author(s):  
Thara Angskun ◽  
Jitimon Angskun

Purpose This paper aims to introduce a hierarchical fuzzy system for an online review analysis named FLORA. FLORA enables tourists to decide their destination without reading numerous reviews from experienced tourists. It summarizes reviews and visualizes them through a hierarchical structure. The visualization does not only present overall quality of an accommodation, but it also presents the condition of the bed, hospitality of the front desk receptionist and much more in a snap. Design/methodology/approach FLORA is a complete system which acquires online reviews, analyzes sentiments, computes feature scores and summarizes results in a hierarchical view. FLORA is designed to use an overall score, rated by real tourists as a baseline for accuracy comparison. The accuracy of FLORA has achieved by a novel sentiment analysis process (as part of a knowledge acquisition engine) based on semantic analysis and a novel rating technique, called hierarchical fuzzy calculation, in the knowledge inference engine. Findings The performance comparison of FLORA against related work has been assessed in two aspects. The first aspect focuses on review analysis with binary format representation. The results reveal that the hierarchical fuzzy method, with probability weighting of FLORA, is achieved with the highest values in precision, recall and F-measure. The second aspect looks at review analysis with a five-point rating scale rating by comparing with one of the most advanced research methods, called fuzzy domain ontology. The results reveal that the hierarchical fuzzy method, with probability weighting of FLORA, returns the closest results to the tourist-defined rating. Research limitations/implications This research advances knowledge of online review analysis by contributing a novel sentiment analysis process and a novel rating technique. The FLORA system has two limitations. First, the reviews are based on individual expression, which is an arbitrary distinction and not always grammatically correct. Consequently, some opinions may not be extracted because the context free grammar rules are insufficient. Second, natural languages evolve and diversify all the time. Many emerging words or phrases, including idioms, proverbs and slang, are often used in online reviews. Thus, those words or phrases need to be manually updated in the knowledge base. Practical implications This research contributes to the tourism business and assists travelers by introducing comprehensive and easy to understand information about each accommodation to travelers. Although the FLORA system was originally designed and tested with accommodation reviews, it can also be used with reviews of any products or services by updating data in the knowledge base. Thus, businesses, which have online reviews for their products or services, can benefit from the FLORA system. Originality/value This research proposes a FLORA system which analyzes sentiments from online reviews, computes feature scores and summarizes results in a hierarchical view. Moreover, this work is able to use the overall score, rated by real tourists, as a baseline for accuracy comparison. The main theoretical implication is a novel sentiment analysis process based on semantic analysis and a novel rating technique called hierarchical fuzzy calculation.


2016 ◽  
Vol 33 (4) ◽  
pp. 269-280 ◽  
Author(s):  
Ling Peng ◽  
Geng Cui ◽  
Mengzhou Zhuang ◽  
Chunyu Li

Purpose To influence consumer perceptions, firms often manipulate online product reviews on their own websites or third-party forums by anonymously adding positive reviews, deleting unfavorable reviews or offering rewards to encourage favorable reviews. This study aims to investigate consumer perceptions of online review deceptions and how these perceptions influence their subsequent purchase behavior. In particular, consumers’ awareness, suspicion and detection are studied and specific manipulation tactics are evaluated. Design/methodology/approach Both qualitative and quantitative studies are relied upon to understand consumer perceptions of online review deceptions. In-depth interviews with 16 experienced online shoppers were conducted to collect the illustrative accounts concerning consumer awareness of online review deceptions, their suspicion, detection and evaluation of different manipulation tactics. A survey of 199 consumers was then followed to validate and corroborate the findings from the qualitative study and generalize the interview results onto the general public. Findings The results from in-depth interviews suggest that consumers take a negative view toward online review deceptions, but the degree of negativity varies across different manipulation tactics. Moreover, different types of manipulations vary in terms of perceived deceptiveness, ease of detection and unethicality, as well as their effect on consumer purchase intention and perceived helpfulness of online product reviews. The findings from the survey further confirmed the qualitative findings. Practical implications The findings have a number of meaningful managerial implications for industry associations and policymakers on whether and how to regulate online review deceptions. Originality/value This study applies and extends information manipulation theory and deception detection literature to an online context to increase the richness of the relevant theories. It is among the first to empirically investigate online review deceptions from a consumer’s perspective, as opposed to a firm’s perspective as previous studies have done.


2018 ◽  
Vol 28 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Maryam Ghasemaghaei ◽  
Seyed Pouyan Eslami ◽  
Ken Deal ◽  
Khaled Hassanein

Purpose The purpose of this paper is twofold: first, to identify and validate reviews’ length and sentiment as correlates of online reviews’ ratings; and second, to understand the emotions embedded in online reviews and how they associate with specific words used in such reviews. Design/methodology/approach A panel data set of customer reviews was collected for auto, life, and home insurance from January 2012 to December 2015 using a web scraping technique. Using a sentiment analysis approach, 1,584 reviews for the auto, home, and life insurance services of 156 insurance companies were analyzed. Findings The results indicate that, since 2013, consumers have generally had more negative emotions than positive ones toward insurance services. The results also show that consumer review sentiment correlates positively and review length correlates negatively with consumer online review ratings. Furthermore, a two-way ANOVA analysis shows that, in general, short reviews with positive sentiment are associated with high review ratings. Practical implications The findings of this study provide service companies, in general, and insurance companies, in particular, with important guidelines that should be considered to increase consumers’ positive attitude toward their services. Originality/value This paper highlights the importance of sentiment analysis in identifying consumer reviews’ emotions and understanding the associations and interactions of reviews’ length and sentiment on online review rating, which can lead to improved marketing strategies.


2020 ◽  
Vol 32 (3) ◽  
pp. 977-997 ◽  
Author(s):  
Youngjoon Choi ◽  
Fuad Mehraliyev ◽  
Seongseop (Sam) Kim

Purpose This study aim to attempt to conceptualize agency in a hospitality setting and examine the psychological effects of agency-related visual cues on user perception and intention to use to understand the role of agency in the digitalization of hotel services. Design/methodology/approach After developing demo videos of an express check-out application, two experiments were conducted to examine the effects of using an avatar and explain the psychological mechanism of how attributes of an avatar increase intention to use. Findings Study 1 found that the presence of an avatar had a positive influence on intention to use. Study 2 retested the findings of Study 1 and illustrated the psychological mechanism of how two attributes of an avatar (social position and gender) influenced perceived expertise and intention to use. A significant interaction effect between social position and gender was found on perceived expertise. Perceived expertise also mediated the effect of an avatar on intention to use in the male avatar conditions. Originality/value As the first attempt to investigate the role of avatars in human–computer interaction in a hotel setting, this study will serve as an example in testing the effects of agency-related technical features on user experience and behavioral intention, possibly broadening the current research scope of hospitality and tourism. This study also provides a useful guideline to develop and design a successful interface of digitalized hotel services.


2018 ◽  
Vol 28 (1) ◽  
pp. 79-98 ◽  
Author(s):  
Run Hong Niu ◽  
Ying Fan

Purpose More and more customers refer to online reviews before making any purchasing decisions thanks to the increasing popularity of social media and online shopping. This phenomenon has caught the attention of business managers who are increasingly aware that online reviews provide great opportunities to connect with current and potential customers. However, both practices and research on online review management from the businesses’ perspective are fragmented. The purpose of this paper is to develop an integrative framework that includes the key dimensions of an online review management system. Design/methodology/approach Based on the Grounded Theory approach, the authors conducted a multiple case study by analyzing the interviews with 11 hospitality services. Findings The authors found that an online review management system should go beyond the current norm of response management to incorporate key dimensions of formality, centralization, specialization, response customization, integration and review analytics. Practical implications The study provides a systematic guideline for online review management practices. The framework can be used as a tool for a business to evaluate existing online review management practices and develop/refine its online review management system. Originality/value The study contributes to online review management literature by developing a comprehensive framework to understand the structure and processes of online review management. The key dimensions of an online review management system identified in this study provide an initial measurement model for the online review management construct. Furthermore, the study provides a springboard for future empirical validation and refinement of the key factors for effective online review management.


2015 ◽  
Vol 27 (6) ◽  
pp. 1343-1364 ◽  
Author(s):  
Xinyuan (Roy) Zhao ◽  
Liang Wang ◽  
Xiao Guo ◽  
Rob Law

Purpose – This study aims to investigate the impacts of online review and source features upon travelers’ online hotel booking intentions. Design/methodology/approach – This study developed a research model and empirically examined the model by collecting data from business travelers in the Mainland China. Factor analysis was adopted to identify features of online reviews content and source attribute. Regression analysis was used to examine impacts of these attributes upon travelers’ online booking intention. Findings – Six features of online reviews content and one source attribute were identified, namely, usefulness, reviewer expertise, timeliness, volume, valence (negative and positive) and comprehensiveness. Regression analysis results testified positive causal relationships between usefulness, reviewer expertise, timeliness, volume and comprehensiveness and respondents’ online booking intentions. A significantly negative relation between negative online reviews and online booking intentions was identified, whereas impacts from positive online reviews upon booking intentions were not statistically significant. Research limitations/implications – The major limitation of this study is that interrelationships among features of online reviews, which were discussed in other similar studies, were not considered. Still, this study benefited researchers from scrutinizing features of online reviews, rather than several of them. As such, it offered more comprehensive suggestions for practitioners in how to better utilize online reviews as a marketing tool. Practical implications – Hospitality practitioners could enhance consumer review management by applying the six underlying factors of online review in the present study to find out the ways of increasing consumers’ booking intentions in the specific hotel contexts. Originality/value – A major theoretical contribution of this paper is its comprehensiveness in examining features of review content as well as its source simultaneously. This study also offered areas worthy of more research efforts from perspectives of practitioners and researchers.


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