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Food packaging pictures are one of the most important extrinsic cues for consumers to evaluate food products before purchasing. Over the past decades, marketers have used exaggerated pictures to attract consumers' attention, enhance their attitude toward a product and increase their purchase intention. This study examined the interplay of “puff-up” product picture, food type and picture type in influencing consumers' responses via persuasion knowledge.

The research comprises two 2 × 2 factorial experiments. Study 1 tested the interaction effect of puffery (high vs low) and food type (utilitarian vs. hedonic) on consumers' responses using two fictitious brands of prepared food, whereas Study 2 tested the interaction effect of puffery (high vs. low) and picture type (ingredients vs. cooked food) using a fictitious brand of Chinese delicacy.

Results demonstrated that the degree of picture puffery did not influence consumers' responses to utilitarian food and ingredient image. Conversely, consumers were sensitive to puffery when they see hedonic food and cooked-food image. Our findings also suggested that consumers' persuasion knowledge mediates the relationship between puffery and their responses.

The presented findings facilitate marketers to know consumers' attitude about food puffery pictures.

This research is one of the first efforts to empirically explore the influences of persuasion knowledge on food puffery pictures. The importance of this work is underscored by the fact that a growing number of visual exaggerations are adopted on food packaging.

Given the importance of third-party endorsements as external cues during purchase evaluations, the manipulation of endorsements may raise consumers’ suspicion and thereby reduce the effectiveness of marketing messages. Consumers find it increasingly difficult to distinguish between authentic and biased brand reviews. This research conducts two experiments regarding brand rankings of third-parties in four industries. Study 1 aims to probes the interaction effect of persuasion knowledge and fairness of rating method (fair vs. unfair) on brand rankings’ credibility and brand image enhancement. Study 2 examines the interplay of dispositional persuasion knowledge and reputation of third parties (high vs. low).

This research builds on an analysis of data (Study 1, N = 122; Study 2, N = 123) from Taiwan, where brand rankings held by third-party organizations are regular. The hypotheses were tested using SPSS’s PROCESS macro.

Drawing on previous research of persuasion knowledge, the authors find that a fair rating method and a high reputation of third-party organization can mitigate the negative effect of persuasion knowledge.

The results of this research suggest that marketers need to manage third-party endorsements carefully. Consumer skepticism toward these endorsements (e.g. third-party’s brand rankings) can be weakened when persuasion attempt is considered appropriate.

This is one of the first efforts to empirically explore the influences of persuasion knowledge on third-party endorsements. The importance of this work is underscored by the fact that a growing number of third-party endorsements are sponsored or even manipulated by brand owners.

Companies around the world have included ecolabels as a marketing strategy to convince consumers to choose products with lower environmental impact. However, the literature lacks a consensus on the effectiveness of ecolabels in persuading consumers to choose green products. The present meta-analysis addresses this gap by first evaluating the net persuasion effect of using ecolabels and second by investigating the role of cultural orientations, operationalized at the country level, in this effect.

This cross-cultural meta-analysis analyzed data from 26,116 consumers across 18 countries, encompassing 75 papers published between 1995 and 2023. Univariate and meta-regression analyses were utilized.

The results demonstrate that the presence (vs absence) of ecolabels has a medium positive persuasion effect. Findings show cultural orientations moderate the persuasion effect of ecolabels in that the effect is stronger in countries with high power distance, individualism, masculinity (motivation towards achievement and success) and uncertainty avoidance orientation, which create contingent conditions to ecolabels’ persuasion. In addition, results show other methodological factors that affect ecolabel persuasion. Contributions and implications of the findings are discussed.

This meta-analysis is distinctive for its global scope, including diverse countries and cultures. It addresses a crucial gap in ecolabel persuasion research, providing insights that reconcile discrepancies in existing studies. It offers practical implications for businesses and policymakers while laying the groundwork for future cross-cultural research in this field.

The purpose of this paper is to examine the effect of nature of advergame and moderating roles of game-product congruence and need for cognition (NFC) on gamers’ ad-persuasion from attention and elaboration perspectives.

A 2 (nature of game: fast or slow)×2 (game-product congruence: high or low)×2 (NFC: high or low) between measures design is used. In total, 224 graduate students participated in the study. A 2×2×2 between subjects ANOVA is used to test the hypotheses.

The results show that slow-paced advergames result in high persuasion than fast-paced advergames. A 2 way-interaction indicates that for a slow-paced advergame, low game-product congruence result in high persuasion than in high game-product congruence. Furthermore, findings reveal that for a slow-paced advergame with low game-product congruence, subjects with high NFC report high persuasion than subjects with low NFC. For a fast-paced advergame with low game-product congruence, subjects with high NFC report high persuasion than subjects with low NFC.

The findings of the study are very important for advertising practitioners as selection of media that fit the advertised product with reference to the content of the media is a planning strategy that has been widely used by media planners. Thus, if high brand recall and recognition is the primary goal for advertisers, then, slow-paced advergames with low-congruent brand placements can be considered a better media strategy for in-game advertising. Furthermore, advertising managers can design advergames by taking into account NFC factor to make sure that the implementation has the strongest positive effect on consumers’ persuasion. Furthermore, advertising managers can design advergames by taking into account NFC factor to make sure that the implementation has the strongest positive effect on consumers’ persuasion.

This research contributes to the literature of non-traditional online advertising, specifically advergaming context by exploring the impact of nature of game and game-product congruence on gamers’ ad-persuasion. Also, this study is the first attempt toward understanding the moderating role of NFC on gamers’ ad-persuasion in the context of online advertising.

The purpose of this study is to introduce a comprehensive and dynamic framework that focuses on the role of algorithms in persuasive communication: the algorithmic persuasion framework (APF).

In this increasingly data-driven media landscape, algorithms play an important role in the consumption of online content. This paper presents a novel conceptual framework to investigate algorithm-mediated persuasion processes and their effects on online communication.

The APF consists of five conceptual components: input, algorithm, persuasion attempt, persuasion process and persuasion effects. In short, it addresses how data variables are inputs for different algorithmic techniques and algorithmic objectives, which influence the manifestations of algorithm-mediated persuasion attempts, informing how such attempts are processed and their intended and unintended persuasive effects.

The paper guides future research by addressing key elements in the framework and the relationship between them, proposing a research agenda (with specific research questions and hypotheses) and discussing methodological challenges and opportunities for the future investigation of the framework.

Applying the stimulus–organism–response model, the purpose of this paper is to analyse the influence of design aesthetics (stimulus) on adoption and recommendation intentions (response) of mobile banking applications through the mediating role of perceived usefulness and trust (organism). Importantly, this research further examines the moderating effect of persuasion knowledge, which attenuates the effects of design aesthetics on perceived usefulness and trust.

A survey is conducted with the help of panellist among a sample of 213 bank customers who are not yet users of mobile banking. Data are analysed using the PROCESS macro.

The results show that design aesthetics positively influence perceived usefulness and trust. These variables, in turn, positively affect adoption and recommendation intentions of mobile banking applications. Interestingly, the findings also demonstrate that persuasion knowledge moderates the effects of design aesthetics on perceived usefulness and trust, as well as their mediating effect.

Because the results demonstrate that persuasion knowledge weakens the effects of design aesthetics on perceived usefulness and trust, the originality of this research rests upon its reconsideration of the “what is beautiful is good” effect and the questioning of the supremacy of this effect. These results provide insights for academics to better explain and increase adoption and recommendation intentions. Moreover, the results can help banking practitioners to improve their policies and strategies pertaining to mobile banking applications.

The purpose of this paper is to examine the effects of offering customer decision authority on customer satisfaction in credence services, and the moderating effects of customer persuasion knowledge and service provider credibility.

A video-based experiment is conducted to achieve high similarity to real service encounters. The video comprises three levels of customer authority while service provider credibility is manipulated. In a subsequent questionnaire, customer response and customer persuasion knowledge are measured.

Results suggest that greater decision authority increases customer satisfaction. However, customer persuasion knowledge and provider credibility together were found to moderate these effects. Offering decision autonomy is most important when source credibility is low and persuasion knowledge is high.

The study setting is an initial healthcare encounter. Other service settings and service provider communication behaviors, such as empathy, responding to customer queries, and length of encounter are not considered in this study but should be further studied.

The study confirms that offering decision authority to customers increases satisfaction only under certain circumstances. Customers are willing to relinquish authority to credible service providers who then direct customer decisions in order to maintain service quality. Offering decision autonomy to customers is suggested when provider credibility is low and customer persuasion knowledge is high.

Analysis of credence service encounters is based on agency theory. Specifically, this study highlights the role of customer (principal) persuasion knowledge, which acts as a qualifier for the principal-agent problem because it alerts the customer to possible persuasion attempts by the service provider, whereas agent credibility eases customer suspicion.

The purpose of this paper is to investigate the effects of brand strategies and spokesperson expertise on consumer responses to hypermarket private-label products by combining concepts from consumer attitude change, resistance to persuasion and construal level theory (CLT).

Two experiments were conducted to test the propositions.

Consumers perceived the low-price (low-quality) characteristic of private-label products as a high-level (low-level) construal consideration when forming purchase decisions. Product relevance negatively affected consumers’ perceived product distance. Compared with store brands, separate brands enhanced consumer product attitudes and purchase intentions. Brand strategies and product distance affected consumer message-processing mindset (i.e. resistant to persuasion or open to persuasion) when processing advertisements, ultimately moderating the effect of spokesperson expertise.

The findings are useful for hypermarkets seeking to implement brand strategies and select spokespersons for private-label products. Additionally, the findings show that advertisers should design advertising elements to match consumers’ construal approaches to product-related information.

This study contrasts two common hypermarket brand strategies, identifies the construal levels corresponding to the dual roles of private-label products and expands CLT dimensions. Additionally, the results bridge two research approaches (persuasion and resistance to persuasion) and demonstrate the pivotal influence of brand strategies. The findings also advance understanding of the effects of spokesperson expertise and contribute to resistance theory by showing how to effectively reduce attitude certainty after resistance to persuasion.

As an alternative to straight rhetorical questions, questions using analogies that invite the reader to think about the frame of reference to answer the target have been used in advertising to persuade. This paper aims to investigate consumer responses to the use of analogical questions in ads for incrementally new products and the important variables moderating those responses.

Four between-subjects experiments examined how product evaluations in response to analogical questions differ from non-analogical variants as a function of consumers’ persuasion awareness (Studies 1 and 2) and also tested if the effectiveness of an analogical question among potential consumers who are more aware of persuasion attempts might be enhanced only when it is proposed with a strong rather than a weak frame of reference (Study 3), and when the frame of reference and the target share underlying similarities (Study 4).

Analogical questions are more persuasive than non-analogical variants for participants who are more aware of persuasion attempts. Inferential fluency mediates the results. Furthermore, the positive impact of analogical questions for participants high in persuasion awareness is diminished when the frame of reference is weak or from a dissimilar domain. The same patterns are not evident for participants who are less aware of persuasion attempts.

Drawing on the concepts of inferential fluency, this study offers an empirically-based view of how the analogical questions in advertising may bias the responses exhibited by individuals who demonstrate either a high or low level of persuasion awareness.

The inclusion of an analogy can lower consumers’ tendency to behave in a defensive manner by facilitating inferences about intended claims that are implicitly stated in a rhetorical question and achieve higher levels of persuasion.

This study contributes to prior study on rhetorical questions within a persuasion communication by adopting inferential fluency as an underlying mechanism for analyzing the impact of analogical questions and individual’s awareness of persuasion.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.