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This paper aims to investigate how location-based advertising (LBA) elicits in-store purchase intention. To deepen the understanding of LBA’s effect on consumers’ purchase decision, the research examines the role of consumers’ time consciousness in click intention in pull or opt-out LBA approaches. The study also explores how consumers react to LBA with an asymmetric dominance decoy versus a compromise decoy message.

Two field experiments were conducted, and a total of 363 volunteers within 3 km of a shopping mall participated. The participants were asked to turn on their global positioning system and then informed that a convenience store was planning to launch a mobile coupon subscription service. Data collected were analysed using analysis of variance, regression analysis, bootstrapping and spotlight tests.

The results demonstrate that consumers had a higher intention to click pull LBA than to click opt-out push LBA. Consumers with high time-consciousness had greater click intentions for pull LBA than for opt-out push LBA. Consumers with low time-consciousness, however, showed no difference in click intention for either LBA approach. Further, click intention mediates the effect of LBA on in-store purchase intention, and the asymmetric dominance decoy message is a more powerful strategy for LBA to increase the likelihood of in-store purchase.

This research provides insight into location-based services marketing by revealing how time-consciousness and decoy promotional messages affect consumers’ reaction to LBA and in-store purchase intentions. The findings offer practical suggestions for retailers on how to reach and engage with consumers more effectively through the use of LBA.

This article aims to explore the impact of interpersonal relationship stimuli and click-like on purchase intention across different generations of bank customers, with a focus on the moderating effect of online trust.

The sample consists of 435 online bank customers from the Facebook community and the data collection was conducted using an online survey method. The model estimation utilized the partial least squares technique, along with multigroup analysis and importance-performance map analysis.

The empirical evidence supports the hypothesized relationships between interpersonal relationship stimuli, click-like and purchase intention, but varies across different generations and is contingent upon online trust. The analysis reveals commonalities in how Generation Z, Millennials and Generation X respond to interpersonal relationship stimuli while exhibiting distinct responses to click-like.

The empirical evidence confirms the hypothesized relationships between interpersonal relationship stimuli, click-like and purchase intention. However, these relationships exhibit variations across different generations and are contingent upon the level of online trust. The analysis highlights shared responses to interpersonal relationship stimuli among Generation Z, Millennials and Generation X, while also revealing distinct reactions to click-like within these generational groups.

This research investigates the collective impact of interpersonal relationship stimuli and click-like on purchase intention, taking into account the moderating role of online trust within various generational cohorts in the banking sector.

This study is based on a web-based advertising value model, adding emotional appeal, advertising credibility, advertising clicks, product evaluation and incentive to examine the impact on consumers' product evaluation and purchase intention.

In total, 313 valid online questionnaires were collected from those who had browsed the social media advertisement.

The results show that advertising credibility and emotional appeal have a higher impact on advertising attitude than informativeness and irritation in the original web-based advertising value model.

The findings strengthen the literature on the antecedents of advertising attitude in social media context, confirming advertising clicks as a predictor of product evaluation, and determining that advertising attitude, product evaluation and incentive play key roles as predictors of consumer purchase intention.

The findings are particularly relevant to advertising marketing managers. In the context of social media advertising, the advertising credibility of consumers is the key to increasing consumers' willingness to purchase. Advertisers must establish a good advertising reputation to consumers in the social media context.

This study combines the web-based advertising value model, advertising clicks, product evaluation and incentive to investigate the factors that influence customers' purchase decisions in the context of social media.

The research aims to investigate how individuals can be persuaded to make purchases through repeated and personalized messages. Specifically, the study proposes a framework of the potential benefits and risks of the online behavioral and data-driven digital advertising (OBA), which can help researchers and practitioners to better understand shopping behavior in the online retailing setting. In addition, the research focuses on the role of privacy concerns in affecting avoidance or adoption of OBA.

The authors apply a structural equation modeling (SEM) approach with partial least square (PLS) regression method to test the research hypotheses through data coming from a structured questionnaire.

OBA is a controversial type of advertising that activates opposing reactions on consumers' perspective. Specifically, acceptance of the OBA is positively related to relevance, usefulness and credibility of the personalized advertisements, while the intention to avoid personalized ads is strictly related to the privacy concerns. Consequently, OBA acceptance and avoidance affected the click intention on the ad and the behavioral intention that are decisive for the success of data-driven digital advertising.

Prior research came up with complex theoretical frameworks that explain antecedents of OBA focusing only on ethical issues in marketing, on the effectiveness of a single OBA campaign or on how to create a successful advertising campaign. However, no study focuses on the intended or actual behavior of shoppers. Specifically, filling the gap in the existing literature, our research applies an SEM approach to identify both benefits and risks and the antecedents of the actual behavior of individuals in terms of actual purchases promoted by OBA.

Drawing upon attribution theory, this study aims to examine how different types of product information sources (mainstream celebrities vs micro-celebrities) interact with content type (experiential vs promotional) to influence consumer response toward native posts on social media (causal attributions and click intention).

A total of 134 adult Twitter users participated in a 2 (source type: mainstream celebrity vs micro-celebrity) × 2 (content type: experiential vs promotional) between-subjects online experimental design.

Results showed that for experiential native advertising, messages from a micro-celebrity generated more information-sharing attributions and less monetary gain attributions than those from a mainstream celebrity on social media. Moreover, the experiential native ads from a micro-celebrity elicited greater intention to click the URL than those from a mainstream celebrity. However, consumer response was similar for promotional native advertising regardless of message source. This study demonstrates that information-sharing attributions mediate the interaction effects of source type and content types on click intention.

This study contributes to the literature on native advertising by providing empirical evidence to highlight the effect of message source and content type on consumer response. This study shows that the success of native advertising depends on how consumers perceive the messages and content creators' intention to communicate.

The purpose of this paper is to examine the effects of “social information” in Facebook News Feed ads on American users’ advertising responses, including ad credibility, attitude-toward-the-ad, brand interest, intention to click and purchase intention. Using social impact theory as a conceptual framework, three factors were tested – relationship strength, physical distance and number of affiliated friends. The moderating role of product involvement was also investigated.

A 2 (strength of relationship: weak vs strong) × 2 (immediacy of relationship: close distance vs long distance) × 2 (number of friends: one vs several) between-group factorial design was used, and 397 research participants were recruited through Amazon’s Mechanical Turk (MTurk).

Significant main effects were found for relationship strength and physical distance. Product involvement was identified as a moderating variable. No significant effects were found under the high involvement condition. Under the low involvement condition, however, relationship strength and physical distance significantly affected Facebook users’ advertising responses.

Research samples were recruited through Amazon’s Mechanical Turk (MTurk). It is possible that the characteristics of this specific social group might have influenced the findings of the study. Only one specific product category, fast casual restaurant, was tested. Participants were asked to imagine themselves in certain scenarios. Even though the scenarios were carefully tested in the pretest and clear instructions were given, field experiments might be helpful in future research to better reflect the actual consumer experience.

Marketers should take advantage of the “social information” feature in Facebook News Feed ads, especially for low involvement products. Names of friends with stronger social relationships and within close physical distance should be included in the ads.

The study is one of the first to examine the effects of “social information” in Facebook advertising. It also confirms the Social Impact Theory in a social media setting.

Since its inception in 2009, the growth of real-time bidding (RTB) advertising has been dramatic. Yet, there is a dearth of research in the information system (IS) literature despite the potential for negative e-commerce outcomes. The purpose of this paper is to identify salient antecedents of users’ attitude toward RTB advertisements.

A research model was constructed and tested with data from 437 respondents. SmartPLS 3.0, a partial least square (PLS) structural equation modeling (SEM) tool, was used to evaluate the research model and test the hypotheses.

The findings indicate that user attitude is determined by opposing influences from the cognitive and affective attributes of an RTB advertisement. A surprise is found to elicit greater perception of advertisement personalization, timeliness and relevance, as well as privacy and intrusiveness concerns. While RTB advertisement relevance appears to lessen the effect of advertisement intrusiveness, privacy concern is exacerbated when the advertisement is more personalized. The authors discuss the implications of this study for click-through intentions and e-commerce.

At this point in the evolution of RTB advertising, the findings indicate that the surprise generated by the appearance of an RTB advertisement is not currently a “bad” surprise. In addition, the formation of positive user attitude toward RTB is complex because cognitive factors interact with users' concerns to strengthen or weaken the negative effects. The authors also demonstrate that attitude and stimulus–organism–response (S–O–R) theories are useful theoretical bases for the development of causal models to predict RTB attitude and click-through intentions.

Although high-profile sport league website sponsorships have increased in popularity over the last decade, academic research on the topic has not kept pace, resulting in little knowledge of ways to improve the effectiveness of this sponsorship type. This paper aims to discuss this issue.

The current study examined the influence of three website-related variables (i.e. website interactivity, website fit, and website credibility), while controlling for a sponsor-related variable (i.e. sponsor familiarity), on consumer attitude toward the sponsor ad and willingness to click on its banner ad. Hierarchical multiple regression analyses indicated three main effects. Practical implications are discussed with limitations and suggestions for future research.

This study found three important things. First, website interactivity played an important role in attitude toward the ad and willingness to click on the banner ad. Second, website fit influenced attitude toward the ad and willingness to click on the banner ad. Third, website credibility influenced attitude toward the ad.

The findings suggest that in order to maximize online sports sponsorship outcomes, companies must keep in mind that the interactivity between the web users and the site should be regarded as the most pragmatic result which could come from the online sports sponsorship territory.

The purpose of this study is to review and synthesize the literature on in-app advertising, identify gaps and propose future research directions.

The authors use a systematic literature review (SLR) approach, following the PRISMA guidelines, to investigate the current state of research in in-app advertising. The study uses 44 shortlisted articles from the Scopus and Web of Science databases. Using the Theory-Context-Characteristics-Methodology (TCCM) framework, the authors analyze the gaps in theory, context, characteristics and methods.

Using thematic analysis, the authors identify five main themes in the in-app advertising literature, namely, ad platform optimization; mobile app user psychology and behavior; ad effectiveness; ad fraud; and security, privacy and other user concerns. The findings show the need for empirical research, with a strong theoretical foundation in emerging ad formats of in-app advertising, user behavior and buy-side of in-app advertising.

This is a maiden study to conduct a domain-based SLR in the emerging field of in-app advertising using the TCCM framework. The authors highlight the key differences between in-app advertising and mobile web advertising. The authors propose theories in the advertising field that could be used in future empirical studies of in-app advertising.

El propósito de esta investigación es revisar y sintetizar la literatura sobre la publicidad en Apps, identificar lagunas y proponer futuras direcciones de investigación.

Utilizamos un enfoque de revisión sistemática de la literatura, siguiendo las directrices PRISMA, para investigar el estado actual de la investigación en publicidad en aplicaciones. El estudio utiliza 44 artículos preseleccionados de las bases de datos Scopus y Web of Science (WoS). Utilizando el marco Teoría-Contexto-Características-Metodología (TCCM), analizamos las lagunas en teoría, contexto, características y métodos.

Mediante un análisis temático, identificamos cinco temas principales en la literatura sobre publicidad en aplicaciones, a saber: optimización de plataformas publicitarias; psicología y comportamiento de los usuarios de aplicaciones móviles; eficacia publicitaria; fraude publicitario; seguridad, privacidad y otras preocupaciones de los usuarios. Nuestros hallazgos muestran la necesidad de investigación empírica, con una sólida base teórica en los formatos publicitarios emergentes de la publicidad en Apps, el comportamiento del usuario y el buy-side de la publicidad en Apps.

Se trata de un estudio pionero para realizar una revisión sistemática de la literatura basada en el dominio en el campo emergente de la publicidad en Apps utilizando el marco TCCM. Destacamos las principales diferencias entre la publicidad en aplicaciones y la publicidad en la web para móviles. Proponemos teorías en el campo de la publicidad que podrían utilizarse en futuros estudios empíricos sobre la publicidad en Apps.

本研究旨在回顾和总结有关应用内广告的文献, 找出差距并提出未来的研究方向。

我们采用系统性文献综述方法, 遵循 PRISMA 指南, 调查应用内广告的研究现状。研究使用了 Scopus 和 Web of Science (WoS) 数据库中的 44 篇入围文章。利用理论-背景-特征-方法（TCCM）框架, 我们分析了理论、背景、特征和方法方面的差距。

通过主题分析, 我们确定了应用内广告文献的五大主题, 即广告平台优化; 移动应用用户心理和行为; 广告效果; 广告欺诈; 安全、隐私和其他用户关注点。我们的研究结果表明, 有必要在应用内广告的新兴广告形式、用户行为和应用内广告买方等方面开展实证研究, 并奠定坚实的理论基础。

这是一项首次使用 TCCM 框架对新兴的应用内广告领域进行基于领域的系统性文献综述的研究。我们强调了应用内广告与移动网络广告的主要区别。我们提出了广告领域的理论, 可用于未来的应用内广告实证研究。

Little research has been done to understand how individual elements (e.g. advertisements) within a webpage are processed and evaluated when visual complexity is increased. Thus, this study aimed to investigate how consumers allocate attention and evaluate products and advertisements on complex webpages when they are casually browsing.

This study conducted two experiments to test the causal effects of different degrees of visual complexity on consumer responses to products and advertisements. An eye-tracking experiment (n = 90) and a follow-up online experiment (n = 121) were conducted using undergraduate students as participants.

Participants formed a global impression from the overall webpage complexity, which spilled over to evaluation of individual elements on the webpage (e.g. product, advertisement). The inverted U-shaped relationships (vs. linear negative relationships) between webpage visual complexity and attitude toward the webpage, products, and advertisements were observed. The focal product was given a consistent level of attention regardless of the complexity level.

This study provides implications for website organization and design to maximize positive consumer experiences and marketing effectiveness. The findings provide implications for retailers and advertisement buyers.

This study expanded the knowledge by examining the interplay between individual elements of webpages and the whole webpage complexity when consumers browse visually complex webpages. It is a novel finding that the overall webpage complexity effect spills over to locally attended products or advertisements.