Consumers as time travellers: the moderating effects of risk perception and construal level on consumers’ responses to temporal framing

Abstract

This study investigated the conditions under which temporal framing is more effective in explaining consumers’ responses to ads. Two experiments were conducted with a 2 (temporal framing: near-future vs. distant-future benefits) × 2 (perceived risk: high vs. low) × 2 (construal level: high vs. low) between-subjects factorial design. In Experiment 1, the two-way interaction effect of temporal framing and perceived risk on ad attitudes and purchase intention was found, such that the near-future benefit frame generated more favourable responses to the ad under the high-risk condition. Incorporating construal level theory, the three-way interaction effect was found, with the temporal framing?×?perceived risk interaction appearing more pronounced for low construal consumers only. Experiment 1 also discovered that information diagnosticity mediated the interaction effect of temporal framing and perceived risk on ad attitudes and purchase intention and this mediating process appeared stronger for low construal consumers. Experiment 2 replicated the two-way and three-way interaction effects on purchase intention, providing evidence of the validity of the findings. Theoretical and managerial implications were discussed for researchers and practitioners.     

Examining impacts of negative reviews and purchase goals on consumer purchase decision

Extensive literature has studied the impact of positive online reviews on consumers’ purchase decisions. Research on the role of negative reviews in consumer price perception is heavily under-investigated. This study examines effects of negative reviews on consumer price perception and subsequent purchase behavior while considering the moderating effect of purchase goals. Results from two experiments show that the proportion of negative reviews has stronger negative impacts on purchase decision for consumers with a purchase goal than those without. This research contributes to growing knowledge about negative online reviews and consumer goal literature and offers practical implications for online retailers.     

Online Shopper Reviews: Ramifications for Promotion and Website Utility

Today's consumers are empowered with online shopper reviews which are mostly written and posted by buyers, customers, users, or visitors at a website. Shopper reviews will become more popular and ubiquitous in e-tailing in the near future. However, the marketing literature is still limited when it comes to knowledge of how shoppers perceive and use online reviews in their purchase decisions. Hence, this study explored shoppers’ predispositions toward positive or negative reviews and examined the impact of consumers’ attitudes and usage patterns on their perceived helpfulness and credibility of online shopper/peer reviews. One interesting finding from our study of 342 online shoppers was that consumers who would pay greater attention to positive reviews gave reviews more credible and usefulness ratings than their counterparts who would focus on the negative reviews.     

Why consumers exaggerate in online reviews? Moral disengagement and dark personality traits

Diffusion of digital media has led to extensive reliance on online reviews for purchase decisions. However, consumers may routinely exaggerate about their own consumption experiences. Using moral disengagement theory and the dark personality trait , the present study seeks to enhance the understanding of consumers' intentions to exaggerate about their consumption experience in online reviews. In order to demonstrate convergence of finding and replicability of the proposed relationships, four studies were conducted to examine consumers’ intention to exaggerate about their positive and negative experiences in online reviews for search and experience products respectively. Findings showed significant positive relationships between dark personality traits and intention to exaggerate in online reviews. Furthermore, moral disengagement significantly mediated intention to exaggerate for narcissists and psychopaths. The results reinforce the usefulness of the study for managers as these studies augment the understanding of consumer lying behavior in the context of online reviews and offer insights into mechanisms that might prevent the amplification of such reviews.     

Gulping the Poison: How Webcare Attributes Reduce Damages to Brands Caused by Negative Reviews

Negative reviews written by unsatisfied consumers can significantly erode the image of a brand. Therefore, marketers regularly respond to these reviews through written messages posted on online channels: a practice known as webcare. The present article seeks to explore whether selected webcare attributes, such as strength, sidedness, and ownership, have any effects on consumers’ forgiveness of the service failures caused by transgressing firms. Furthermore, the effects of consumer forgiveness on satisfaction with webcare, brand attitudes, and purchase intentions are also investigated. The article examines these relationships in the context of a fine dining restaurant (Study 1) and a hotel (Study 2). The results reveal that webcare attributes play a salient role in achieving consumer forgiveness. Furthermore, the studies also reveal that consumer forgiveness leads to satisfaction with webcare and improved brand attitudes and purchase intentions.     

Antecedents of participation in online brand communities and their purchasing behavior consequences

This study intends to fill some gaps in knowledge about online communities and their influence on consumers’ purchase decisions. A review of the extant literature on online brand communities reveals that most prior studies have focused on identifying the factors associated with joining and participating in online communities. However, limited studies examine the implications of participation in online brand communities in terms of consumer behaviors, such as brand liking and intention to purchase the brand. In addition, these few studies have either focused on the influence of operational elements of the online community on purchase intention or on the influence of community members’ characteristics regarding purchase intention. Therefore, this study aims to provide an integrated framework for operational and user characteristics’ antecedents associated with consumers’ participation in online brand communities and their effect on purchase decisions. Structural equation modeling was used to test the conceptual model. Data were collected via a survey of the Facebook pages of 282 members of Egyptian telecommunication companies. The findings provide insights into how these antecedents should be managed to enhance participation in virtual telecommunication communities.     

How close do we feel to virtual product to make a purchase decision? Impact of perceived proximity to virtual product and temporal purchase intention

This study, utilizing construal level theory, aims to understand the underlying effect of perceived proximity to a virtual product on perceived purchase intention in the near future through perceived measurement feedback and perceived generality. This research examines a lab experiment to test six hypotheses. Results indicate that perceived proximity to virtual products enhances perceived measurement feedback and, thereby, perceived generality. In addition, perceived generality fully mediates the effect of perceived measurement feedback on perceived purchase intention in the near future when consumers interact with non-augmented reality applications. In contrast, perceived measurement feedback directly influences perceived purchase intention in the near future in AR applications. Furthermore, the absence of product in consumers’ consideration set dilutes the effect of perceived generality on perceived purchase intention in the near future when consumers interact with non-augmented reality application. This study suggests several managerial implications for AR developers and online retail managers.     

Promoting charitable donation campaigns on social media

It is salient to investigate how to increase persuasiveness of donation campaign messages communicated on social media. The purpose of this paper is to propose that a construal fit between different message frames (loss/gain framing and desirability/feasibility framing) and donation temporal proximity enhances the persuasiveness of charity donation messages. A convenience sample of 120 adults in Izmir voluntarily participated in this study and participants were randomly assigned to one of four experimental conditions. This research shows that gain-framed donation-promoting messages paired with desirability-framed messages are more effective on distant-future donation intentions, whereas loss-framed messages paired with feasibility-framed messages are more effective on near-future donation intentions. The findings of this paper are to figure out ways to enable marketers to develop effective Corporate Social Responsibility strategies for telecommunication service companies to encourage consumers’ charitable donations in a social media context.     

Expertise Makes Perfect: How the Variance of a Reviewer's Historical Ratings Influences the Persuasiveness of Online Reviews

Online reviews have become an important source of information for consumers’ purchase decisions. Drawing upon the consumer expertise and persuasion literature, this study proposes that consumers are more willing to accept a reviewer's recommendation when his/her historical ratings in a certain product domain display greater variance. Five experiments provide consistent support for this hypothesis and the underlying process. Study 1 tests the proposed effect of a reviewer's rating variance on consumers’ willingness to accept the reviewer's recommendation. Studies 2 and 3 show that this effect can be attributed to perceptions regarding the reviewer's expertise. Moreover, this “variance-expert inference” effect is attenuated when the consumption experience of the reviewer is limited (Study 4) and when the consumers are familiar with the products (Study 5). The theoretical implications for the online review and persuasion literature and practical implications for online retailers are discussed.     

The effect of attribute originality on consumers’ adoption intention of customization: The role of construal level

As consumers' preferences become increasingly diversified, many companies strive to satisfy individual needs by offering customization options for products or services. To enhance the effectiveness of customization strategies, managers need to decide what type of attributes to provide for consumers to customize and also take consumers' individual differences into consideration. The current research investigates the joint impacts of the originality of the attributes involved in a customization option and consumers' construal level on their intention to adopt customization. Findings from two experiments consistently demonstrate that, in comparison to customization options that include common customizable attributes, offering customization options that includes original customizable attributes undermine consumers’ adoption intention. However, such negative effects will be mitigated when consumers have a high construal level.     

Customization of online advertising: The role of intrusiveness

This study examines the trade-off between tailoring an ad to an individual consumer’s needs and the demand for personal data required to do so, which is inherent in targeted online advertising. Two scenario-based studies in two different industries reveal the extent to which using personal information with greater distinctiveness affects consumers’ sense of intrusiveness and purchase intentions. We also manipulate ad fit to each consumer’s needs and the presence of a discount to investigate whether feelings of intrusiveness mitigate the potential positive effects of fit and discount. Higher degrees of personalization, such as adding personal identification or transaction information to browsing data, increase feelings of intrusiveness, and negatively affect purchase intentions. These negative effects are not compensated for by offering discounts but can be partly mitigated by presenting an ad with a high fit to consumers’ current needs. The positive effect of tailoring the ad is weakened at higher levels of intrusiveness though. Furthermore, high fit may lead to not only higher purchase intentions but also higher perceived intrusiveness levels. Presenting a consumer with a customized ad can thus be a double-edged sword, leading to higher purchase intentions but also greater perceived intrusiveness, which then negatively affects purchase intentions.     

Price-aware enhanced dynamic recommendation based on deep learning

Price is one of the essential elements influencing consumer purchase behavior. Like consumers’ preferences in products, their price preferences also dynamically change over time. However, dynamic price preferences haven’t been fully considered in existed recommendation studies. In this study, we propose a deep learning-based dynamic recommendation model by considering consumers’ dynamic preferences in both product and price. We specially design a review-and-rating-based sequence generator to select products whose prices the consumers are satisfied with to form the new purchase sequence. We also develop a multi-level attention mechanism in the transformer layer to explore the correlations between consumers’ price choices and to combine the price preferences with the product preferences. Experimental results show the proposed model outperforms the state-of-the-art models on some real-world datasets. Our findings can help retailers understand consumers’ price preferences and make informed decisions related to pricing, discounting, and bundle sales strategies.     

Measuring the impact of online reviews on consumer purchase decisions – A scale development study

Consumers' exposure to online reviews influences their online retail shopping behavior. They search for reviews while evaluating products for purchase decisions. Past studies have indicated that online reviews affect the credibility and trust of the sellers and the products they sell on online platforms. Keeping this in view, the current paper aims to develop and validate a scale to understand the impact of online reviews on consumer purchase decisions. Data were collected from 431 young online shoppers for this research. The initial exploratory factor analysis (EFA) results helped identify four factors, viz. source credibility, volume, language and comprehension, and relevance which constitute the scale. The scale was validated by confirmatory factor analysis (CFA). The study's findings fill the gap of having a standardized scale that online retailers can use as indicators to assist consumers in their online decision-making. The discussions and implications support consumers' susceptibility to online reviews, an essential source for product and brand information in facilitating online consumers' purchase decisions.     

Hedonic and utilitarian use of user-generated content on online shopping websites

The Internet has made it possible for consumers to share reviews, opinions, and thoughts about products and services on online shopping websites. This user-generated content (UGC), which can be considered to be part of social commerce, is likely to influence other consumers’ attitudes toward a product and subsequent purchase intentions. The purpose of this study was to investigate two major uses of UGC: hedonic and utilitarian, and how they impact purchase intentions, along with users’ trust for different types of comments and reviews. Also investigated are associations between hedonic use, utilitarian use, and trust, with purchase behavior at online shopping websites. Results of this study will add to the domain knowledge related to marketing and how it impacts consumer psychology and behavior. From a practitioner perspective, marketers need to understand the impact of UGC so they can monitor this method of marketing communication as it can impact trust and purchase intentions.     

How augmented reality (AR) experience affects purchase intention in sport E-commerce: Roles of perceived diagnosticity,psychological distance,and perceived risks

How does augmented reality affect consumers’ online purchase intentions? The authors used media richness theory and construal level theory to test hypotheses that augmented reality will improve consumers' perceptions of diagnosticity, psychological distance, risks, and purchase intention of e-commerce products (in Study 1), as well as to examine the relations among these constructs (in Study 2). The results indicate that (1) perceived diagnosticity and (2) purchase intention were higher, and (3) psychological distance and (4) perceived risks were lower in the group that experienced augmented reality e-commerce, compared to the group that experienced conventional web-based e-commerce. The impact of perceived diagnosticity on purchase intention was fully mediated by (5) psychological distance and (6) perceived risks. This research adds to the literature on augmented reality, particularly in the context of sport e-commerce, and suggests important practical implications.     

Antecedents of Online Reviews' Usage and Purchase Influence: An Empirical Comparison of U.S. and Korean Consumers

We propose a model linking consumer characteristics (consumer susceptibility to interpersonal influence and Internet shopping experience), attitude toward online reviews (perceived usefulness), and the outcome of online reviews (usage frequency and purchase influence). We advance hypotheses on the interrelationships among these factors and on the moderating effects of national culture on some of the relationships. We test the hypotheses on survey data collected from U.S. and Korean consumers. The results show that national culture has important moderating effects on the relationships among online reviews and its antecedents. The results suggest that an attitude-oriented marketing communication strategy is more effective for Korean consumers while a behavior-oriented strategy is more effective for U.S. consumers.     

A two-stage model for forecasting consumers’ intention to purchase with e-coupons

E-coupons (electronic coupons) have been a mainstay of online marketing to attract consumers and promote them to repeat purchase, distributing right e-coupons to right consumers is of critical importance. In big data era, analyzing consumers preferences for e-coupons by their online behavior and the impact of data imbalance caused by low active consumers are rarely studied. Thus, we propose a two-stage hybrid model. Firstly, consumer segmentation is implemented to analyze behavioral characteristics for each segment and distinguish low active consumers, then models are constructed for different consumer segments. The proposed model is applied to a real online consumption data. Consumers are aggregated into four segments: potential e-coupons user, low discount sensitive user, high discount sensitive user (including discount preference and fixed preference). The first one is defined as low active consumer segment and others are high active consumer segments. Isolation forest model and logistic regression model are respectively constructed for them. Result shows that data imbalance is effectively relieved, prediction performance is also significantly better than the traditional approaches. Finally, e-coupons’ usage characteristics for each consumer segment are summarized, according to that, companies can increase sales and improve consumer satisfaction as well.     

Price Awareness and Consumers’ Use of Deals in Brand Choice

There is evidence that consumer knowledge of prices is limited, implying that, on occasions, consumers may not be fully informed of prices when making a brand purchase. On such occasions, how do consumers make their brand choice decision? One possibility is that consumers use their expectation of prices. This raises an interesting question. To what extent is brand purchase either a function of preferences and posted prices or, of preferences and expectation of brand prices? Another important issue relates to the role of displays and features in simplifying consumer brand choice. First, do promotions cause consumers to restrict their attention to only promoted brands? Second, do promotions affect the price aware consumers more than the price unaware consumers? Our study uses scanner data on ketchup and peanut butter categories to answer the foregoing questions. We find that between 40 and 50% of the purchases are made by consumers using expectations of prices rather than posted prices. Consumers using price expectations may be thought of as being “unaware” of prices. We also find that promotions cause some consumers to focus exclusively on promoted brands, and this effect is greater on the price aware consumers than on the price unaware consumers. Our findings have an important bearing on the rationality of consumer expectation of prices, especially of the promoted brands. Price aware consumers act as a check against firms promoting without accompanying price cuts.     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

Building A Sustainable Shelf: The Role of Firm Sustainability Reputation

The reputation of firms for being environmentally friendly and socially responsible is a key purchase driver for sustainable products. However, the commitment of firms to sustainability varies – some firms are founded on strong environmental and social principles; other more traditional firms are built on strong product/brand focus and are not known for sustainability. In response to market trends, many traditional firms are introducing sustainable products to their portfolios. We argue that the firm’s sustainability reputation (FSR) will influence consumer purchase with respect to equally sustainable products from different firms. Two choice studies demonstrate that FSR favors sustainable product choice when the consumer decides between equally sustainable products. However, FSR affects the choice only for sustainable products and not regular products and does so only for consumers that construe sustainability at a high (abstract) level. Retailers should pay attention to the role that FSR plays in consumer response when they select sustainable products to sell.