Emotional and the normative aspects of customers’ reviews

The goal of the current research is to investigate the link between the emotional aspects of hotel and travel organization customers' reviews and their normative (e.g., star rating) rankings. After filtering, the Yelp dataset generated 3,47,803 hotel and travel company reviews. Following the purification of user reviews, we used an unsupervised machine learning technique-based NRC Emotion Lexicon to study the relationships between various emotional aspects of reviews and their normative values (e.g., star rating) for the review. Customers express different sorts of feelings for different types of emotional aspects, forcing them to assign different stars, according to the study's findings. The study is the first to use a lexicon-based unsupervised learning approach to look into the emotional aspects of hotel and travel organization reviews and associated normative (e.g., star rating) rankings.     

Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus

Current discussions in academia and in the press increase consumers’ awareness of potentially deceptive online reviews. The increasing practice of fake reviews posted online not only jeopardizes the credibility of review sites as important information sources for individuals but also endangers a valuable source of information for service providers. Two studies shed further light on the role of consensus and identity-related information in assisting consumers detect potentially faked reviews. In one preliminary study, a sample of 4826 rejected and 4881 published online reviews was analyzed to investigate the differences in the disclosure of author-related information such as name and age as well as star ratings across those reviews. In the main study, a 3 (identity disclosure) x 2 (consensus) x 2 (priming of fake reviews) experiment was carried out with 390 respondents. The results highlight the relevance of the review's consensus in relation to the overall rating of previous reviews and corroborate the results of the preliminary study from the perspective of an internet user: the value of the amount of available information on the review's author in assisting individuals detect potential fake reviews. This study complements research in computer science by highlighting the relevance of contextual—in addition to textual—indicators that assist internet users in detecting potentially deceptive online reviews.     

Online Review Helpfulness: Role of Qualitative Factors

Consumers are increasingly reading online reviews before making any purchasing decisions. The significance of online reviews has only grown over the years. Though in the past, scholars have emphasized the impact of quantitative factors (e.g., review ratings) on online reviews, only recently have they begun to explore the role of qualitative aspects of online reviews. Content readability and associated sentiments in text provide two important qualitative cues that influence the helpfulness of online reviews. However, the extant literature has overemphasized the linear association between these aspects and the helpfulness of reviews. Using the elaboration likelihood model and the classic ideal point concept, the current work asserts that after an ideal point is attained, lucid and sentimental reviews diminish in utility (i.e., helpfulness of an online review for consumers decreases). This may happen because consumers are wary of fraudulent reviews. This study proposes that if experienced reviewers give such extreme reviews, then consumers might still draw utility from these reviews. In other words, this study explains the moderating role of reviewer experience, which heuristically influences consumers’ trust of online reviews, thus making even too simplistic or extremely sentimental reviews helpful.     

Creating and detecting fake reviews of online products

Customers increasingly rely on reviews for product information. However, the usefulness of online reviews is impeded by fake reviews that give an untruthful picture of product quality. Therefore, detection of fake reviews is needed. Unfortunately, so far, automatic detection has only had partial success in this challenging task. In this research, we address the creation and detection of fake reviews. First, we experiment with two language models, ULMFiT and GPT-2, to generate fake product reviews based on an Amazon e-commerce dataset. Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. We show that a machine classifier can accomplish this goal near-perfectly, whereas human raters exhibit significantly lower accuracy and agreement than the tested algorithms. The model was also effective on detected human generated fake reviews. The results imply that, while fake review detection is challenging for humans, “machines can fight machines” in the task of detecting fake reviews. Our findings have implications for consumer protection, defense of firms from unfair competition, and responsibility of review platforms.     

Taking Fake Online Consumer Reviews Seriously

Evidence discussed in this article indicates that consumers rely heavily upon consumer reviews when making decisions about which products and services to purchase online. Sellers and their marketeers are aware of this, and as a result, some of them succumb to the temptation to generate fake consumer reviews. This article argues that policymakers and regulators need to take fake reviews seriously. This is because they undermine a (potentially) effective and efficient mechanism for overcoming information asymmetry between online sellers and buyers. Consumer reviews also offer a powerful mechanism for regulating the marketplace. Sellers who sell sub-standard products or engage in sub-standard selling practices risk reputational damage. Genuine consumer reviews can therefore moderate bad seller behaviour and assist in improving the quality and efficiency of the marketplace. Although there are laws in many jurisdictions that prohibit misleading and deceptive conduct, detecting fake reviews is complex and difficult. This article proposes that one way of increasing the effectiveness of regulatory oversight is for regulators to add an “alliance approach” to their existing arsenal of regulatory systems and mechanisms.     

Deceptive Impression Management: Does Deception Pay in Established Workplace Relationships?

We examine deceptive impression management’s effect on a supervisor’s ratings of promotability and relationship quality (i.e., leader–member exchange) via the mediating role of the supervisor’s recognition of deception. Extending ego depletion theory using social information processing theory, we argue that deceptive impression management in a supervisor-subordinate relationship is difficult to accomplish and the degree that deception is detected will negatively impact desired outcomes. Data collected from a matched sample of 171 public sector employees and their supervisors supported this model and indicated that recognition fully mediated the negative relationships between deceptive impression management with supervisor’s rating of promotability and relationship quality.     

When does electronic word-of-mouth matter? A study of consumer product reviews

Online consumer product reviews, a form of electronic word-of-mouth (eWOM), have attracted increased attention from researchers. This paper examines the persuasiveness of eWOM. Drawing on regulatory focus theory, the authors propose that the consumption goals that consumers associate with the reviewed product moderate the effect of review valence on persuasiveness. Data from lab experiments and actual online retailers suggest that consumers who evaluate products associated with promotion consumption goals perceive positive reviews to be more persuasive than negative ones (i.e., a positivity bias). Conversely, consumers who evaluate products associated with prevention consumption goals perceive negative reviews to be more persuasive than positive ones (i.e., a negativity bias).     

To praise or not to praise- Role of word of mouth in food delivery apps

This study examined the determinants of word of mouth, using the dual-factor theory in the context of food delivery apps (FDA) during the ongoing Covid-19 pandemic, which has created unique challenges and opportunities for the hospitality industry. We proposed and tested an integrated model by examining both enablers (i.e., trust, perceived benefit, quality control) and inhibitors (i.e., advertisement overload, perceived threat, quality issues) of FDA usage as antecedents of positive word of mouth (PWOM) and negative word of mouth (NWOM). Our results revealed that trust and perceived benefit drive PWOM, while advertisement overload and quality issues lead to NWOM. We also found some counterintuitive and unique results; for instance, perceived benefit leads to NWOM, the perceived threat does not result in NWOM, and quality control does not necessarily result in PWOM. Through these findings, we provide empirical evidence and recommend managerial interventions to help restaurant owners and FDAs navigate crises like the ongoing pandemic.     

Analysing the critical factors influencing trust in e-government adoption from citizens’ perspective: A systematic review and a conceptual framework

Although the success adoption of e-government contingent upon citizens' trust and their willingness to use it, little consideration has been paid to explore the adoption of e-government from citizens' trust perspective. This paper provides a critical and systematic review of the current literature on citizens’ trust in e-government, with a particular focus on the most critical factors influencing citizens’ trust in respect of the adoption of e-government. The extant literature was identified through six electronic databases, from 2000 to 2014. Academic articles were reviewed if they contained a relevant discussion of the antecedents or factors influencing citizens’ trust in e-government adoption. The findings of this review reveal that several studies have been conducted in the area of trust in e-government (particularly trust in government and trust in the internet) with limited consideration paid to citizen’s aspects of trust (such as personality, culture, gender, experience, education level, beliefs and value of systems). Based on the findings of the critical review, a conceptual framework is proposed by developing further the updated DeLone and McLean IS Success Model, which presents the antecedents of trust in e-government adoption.     

Exploring Top Management Language for Signals of Possible Deception: The Words of Satyam’s Chair Ramalinga Raju

This paper explores the potential for systematic scrutiny of the language of top management to reveal signals of possible deceptive conduct. The language used in letters signed by Ramalinga Raju, Chair of the Indian multi-national company Satyam, are analysed using a multi-method quantitative approach. We explore the language in Raju’s annual report letters from 2002–2003 to 2007–2008; and in his letter of January 7, 2009 in which he confessed to deceptive conduct. We analyse the frequency of personal pronouns, the tone of positivity or negativity, the frequency of words of extreme emotion and aspects of the characteristics of language use indicated by the DICTION 5.0 text analysis master variable, CERTAINTY. The text of Raju’s letters appears to have been influenced by his self-confessed deceptive behaviour. Raju’s word choice changed noticeably in his five annual report letters prior to the collapse of Satyam as the scale and impact of his financial misstatements increased. The methods presented should be considered for adoption by auditors and regulators—as a way of assessing whether signals emerging from language use warrant closer (including audit) scrutiny of a firm’s financial reporting and governance. They should also be considered for use by monitors of entity risk, such as credit rating agencies and financial analysts.     

The Effects of Relationship Marketing on Share of Business: A Synthesis and Comparison of Models

ABSTRACT

Purpose: The article synthesizes the extensive empirical work on relationship marketing (RM) and compares the various conceptualizations to give a better understanding of the relational factors (i.e., characteristics of the business relationship) that improve a seller’s objective performance (i.e., share of business) in a business-to-business (B2B) services context. These conceptualizations, taken from the literature, link relational antecedents (i.e., communication, domain expertise, relational value, and mutual goals) to relational mediators (i.e., trust, satisfaction, commitment, relationship quality) to explore how they in turn affect a seller’s share of business.

Methodology/approach: All 4 models derived from the literature review were assessed using a dataset drawn from a survey of 948 client firm representatives of a Portuguese hotel chain in a B2B services context.

Findings: The best of the models in terms of model fit and prediction of share of business shows that only customer commitment directly drives a seller’s share of business, and simultaneous interrelated changes in customer trust and satisfaction, as well as customer perceptions of relational value, drive customer commitment, and so exert indirect effects on performance. The model that proposes that a seller’s performance is strengthened by simultaneous interrelated improvements in customer trust, satisfaction, and commitment (i.e., with these three mediators being conceptualized as a single, combined, higher-order mediator, termed relationship quality [RQ]) shows inferior fit. No combination of mediators (satisfaction, trust, or commitment) improves the seller’s objective performance over and above their individual effects (i.e., there are no synergistic effects).

Research implications: The literature review suggested four ways of modeling RM antecedents, mediators, and their effect on performance. Complex second-order constructs such as RQ lack explanatory power when predicting outcomes and mask the effects of individual relational mediators. Correct conceptualization is important, as conclusions vary drastically even with the same set of relational mediators and same dataset.

Practical implications: B2B service providers’ investments in RM will lead to improved share of business only if customer commitment is high or there is at least the potential to improve it. This requires an understanding of how valuable

the customer believes the relationship to be, and how the customer rates the relationship with the firm in terms of satisfaction and trust. A customer segmentation approach to relationship building and maintenance is advocated and detailed suggestions are put forward.

Originality/value/contribution: Apart from the work by Palmatier, the relationships between RM antecedents and mediators have not yet been examined simultaneously and findings are fragmented. The article provides a synthesis of this expansive literature. It contrasts different interplays between RM mediators, including their interrelationships as a higher-order construct, and explores possible synergy effects. Unlike previous work, this study focused on an objective measure of seller performance (i.e., share of business), whereas previous studies have tended to examine subjective measures, especially within the B2B context. Furthermore, four full models were assessed here, each of which included the antecedents to RM mediators and their links to objective performance.     

Why do not you read the label? – an integrated framework of consumer label information search

This article facilitates deeper insight into label‐related consumer information acquisition behaviour. An integrated framework of label information search (LIS) has been developed based on a synthesis of related literature and explorative research conducted by analysing online discussions among customers (netnography). The framework focuses on three main groups of personal factors that serve as antecedents of LIS: general personal factors (e.g. health consciousness and socio‐demographics), label‐related personal factors (e.g. label‐related self‐efficacy, trust in labels and the perceived usefulness of labels) and product category‐related personal factors (trust in food products, enduring involvement, experience and perceived quality differences). Important characteristics of the framework are its process‐oriented nature and the dynamically changing relationships among its concepts. LIS is an antecedent to and a consequence of influencing factors. This article offers managerial implications and serves to incite future inquiry in this field.     

Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category

Online reviews, which significantly influence product sales, have been a central research topic in the field of marketing. Meanwhile, some motivating factors related to online retailers have been linked to product sales. While several articles have examined the impact between online reviews and motivating factors on product sales, many of the conclusions drawn are contradictory. From 28 studies focusing on online reviews and sales, this study performs a meta-analysis to analyze the true impacts of six review-related factors (i.e., the number of reviews, star ratings, standard deviation of ratings, helpfulness, review length and sentiment), and two motivating factors (i.e., price discounts and special shipping) on product sales. Meanwhile, this paper also studies how one product-related factor (i.e., product age) and one reviewer-related factor (i.e., reviewer's reputation) influence the relationship between online reviews and product sales. In addition, to study the moderating effect of product category, we divide the selected literature into two subgroups which are search and experience products. The results indicate that only review length and special shipping have no significant impact on product sales, while product category has a valid and specific moderating effect on the relationship between these determinants and sales. The presented conclusions will have important implications for academic research and for future industry practice.     

Ethics, Deception and Labor Negotiation

There has been widespread emphasis on the importance of trust amongst parties to the employment relationship, associated with a call for increased "integrative bargaining". Trust is bound up with ethical action, but there has been some debate about the ethics of deception in bargaining. Because it is possible for cooperative bargainers to be exploited, some writers contend that deceptive behavior is ethical and established practice. There are several problems about that view. It is questionable how clear and uniform such a practice has been. An appearance of deceptive bluffing can often be explained as exchange of genuine concessions. Recent trends have seen increased devolution of bargaining from professionals to non-professionals, which dilutes any shared understandings there have been in the past, while practices that do exist may not be freely or voluntarily accepted and the existence of such practices is not enough to compensate for inequalities of power and skill. It is questionable to what extent bluffing and deception are necessary for self-defense. There other techniques available by which parties can guard themselves against exploitation.     

Dynamic efficiency assessment of the Chinese hotel industry

The paper introduces for the first time a totally dynamic two-stage approach to analyzing the hotel industry's technical efficiency at the sub-national level. The first stage uses data envelopment window analysis (DEWA) to assess regional hotel sectors' technical efficiency over time. Unlike previous studies, the second stage uses a dynamic Tobit model to investigate the impact of macro contextual factors on the hotel sector efficiency. The study chooses the Chinese hotel industry during the period 2001-2006 as its application setting. The findings of the investigation indicate that the Chinese hotel industry is approaching an efficient operation in general, recovering from a major dip in 2003 resulting from the Severe Acute Respiratory Syndrome (SARS) outbreak. In addition, the study introduces a novel two-dimensional efficiency-based matrix to assess the competitive advantage of different regions of the Chinese hotel sector. The paper presents strategic market implications for hoteliers, government decision-makers, and destination management organizations. The proposed methods are applicable for situations in which an exogenous event of a destabilizing impact (e.g., SARS) does occur.     

浅析饭店服务特点与服务营销观念

随着经济的发展,服务在经济生活中的作用越来越重要。酒店业作为服务业的典型代表,虽然取得了长足的发展,但是也暴露出了传统营销理论与实践脱节的问题。实践的发展要求酒店业重新审视自已面对的市场,深刻理解服务和服务营销的内涵,把握酒店服务营销与其他产品营销的不同之处,根据酒店服务的特点采取相应的服务营销策略,提高顾客的满意度和信任度。     

Will I Fake It? The Interplay of Gender, Machiavellianism, and Self-monitoring on Strategies for Honesty in Job Interviews

The use of deception during social interactions is a serious ethical concern for business. Interpersonal Deception Theory (IDT) proposes that strategies for using deception are influenced by personal factors. We tested this proposal by assessing participants’ strategies for using deception during an employment interview. Specifically, we examined three personal factors [gender, Machiavellianism, and self-monitoring (SM)] and intentions toward four types of deceptive behaviors (Extensive Image Creation, Image Protection, Ingratiation, and Slight Image Creation). We used path analysis to examine the intentions of 125 undergraduate students. Our results partially confirm the proposal of IDT by showing that intentions toward using Extensive Image Creation (i.e., generating wholly untrue personal information) are higher for men than women. Intentions toward Image Protection (i.e., hiding unattractive personal truths) are higher for men and for women high in Machiavellianism relative to women low in Machiavellianism. Intentions toward using deceptive Ingratiation are highest for men and high Machiavellianism women, but only when sufficient SM skills are present. For intentions toward Slight Image Creation (i.e., mild exaggerations to personal truths) there are no gender, Machiavellianism, or SM effects. Our research has implications for understanding how deception in the workplace can begin before an individual is hired, and we offer suggestions for several lines of future research.     

物流外包关系中物流服务需求方信任的影响因素研究

文章在国内外文献回顾的基础上构建了研究模型,并进行了实证研究,以探讨物流外包关系中物流服务需求方信任的影响因素及其对信任的作用。研究结论表明:物流服务需求方对以前交易经历的满意度是影响物流服务需求方建立信任的最重要因素,企业声誉和信息的共享是仅次于满意度的影响因素,而对关系进行的投资和合作的时间长度对物流服务需求方建立信任的影响最小或者没有影响。最后根据实证研究结果就第三方物流提供者如何赢得物流服务需求方信任提出了实践建议。     

The effects of eWOM characteristics on consumer ratings: evidence from TripAdvisor.com

Abstract

Given the rise of online review communities, the management of consumer ratings has gained much attention in the recent years. In this study, we use data from Tripadvisor.com and examine the number of stars that a review receives. Specifically, we address how a star rating is determined by the components in the focal review as well as the preceding reviews of other consumers. Our qualitative and quantitative analyses provide interesting findings as follows. A star rating has a positive relationship with the focal review’s valence. That is, the more positive a review is, the greater number of stars a review receives. The reviews of other consumers also play a role in determining a star rating of the focal review suggesting social influence among consumers. Interestingly, a review with lengthy content leads to a lower star rating only when using smartphones. We conclude with theoretical and managerial implications.     

Comparing email and SNS users: Investigating e-servicescape,customer reviews,trust, loyalty and E-WOM

For better or worse, satisfied or dissatisfied customers function as trusted branding faces for organizations as they transmit potentially viral messages through E-WOM. These E-WOM messages can prove marketers' best friends or worst enemies, depending on their tenor. With data from actual customers of an e-tailer, this research enriches our understanding of how e-servicescape is linked to E-WOM. E-servicescape captures the online environmental factors of marketers’ websites. Two forms of E-WOM are examined; i.e., emails and social network postings. Customer reviews were investigated as a prospective sub-dimension of e-servicescape. Findings suggest that customer reviews play an integral role in the e-servicescape construct, that e-servicescape positively impacts trust and that trust positively influences E-WOM and customer loyalty. Two groups of customers were compared, and results indicated differences between email and SNS users. Theoretical and managerial insights related to E-WOM and electronic commerce shopping behavior were generated.