Big Data Analytics in Undergraduate Advertising Curricula

The rapid ascent of data-driven advertising practices has allowed advertising professionals to develop highly-targeted and personalized advertising campaigns. The success of data-driven advertising relies on if future professionals are proficient with basics of Big Data analytics. However, past research of undergraduate advertising curricula around the world has shown that higher education institutions tend to fall behind in offering the most up-to-dated training for advertising students. Findings have shown that undergraduate advertising programs have slowly taken advantage of the potential of the data analytics tools and techniques. This trend is observed among higher education institutions around the world. Practical, research, and pedagogical implications are discussed.

Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose. State-of-the-art publications and techniques are presented in detail, and the relationship of this domain with other related domains such as artificial intelligence (AI), semantic web, etc., is investigated. Important issues such as (a) business data utilization in personalized advertisement models, (b) the cold start problem in the domain, (c) advertisement visualization issues, (d) psychological factors in the personalization models, (e) the lack of rich datasets, and (f) user privacy are highlighted and are pinpointed to help and inspire researchers for future work. Finally, a design framework for personalized advertisement systems has been designed based on these findings.

Customers’ impulse buying in social commerce: The role of flow experience in personalized advertising

One of the advantages of using social commerce, especially Instagram, is the display of paid advertisement that are in accordance with consumer preferences or also called personalization. Previous study on the effectiveness of personalized advertising still shows mix result both positive and negative. Based on the limitations of previous research, the focus of this research is to examine and analyze the influence of personalized advertising on the value of advertising which then affects impulse purchases in social commerce and flow experience as moderation. This study using survey method on 157 active Instagram user. The findings in this result show that personalized advertising have positif affect to advertising value and encourage impulse buying. Then flow experience found strengthen effect advertising value on impulse buying. The result indicates when user has fully involved, happy, and excitement when using social media, then receive personalize advertising that match with their preference will encourage impulse buying.

Privacy Concerns in Personalized Advertising Effectiveness on Social Media

One of the characteristics of industry 4.0 is that consumers increasingly want products to be made just for themselves. This can be supported by the presence of big data, which of course cannot be separated from the use of information, the more complete the data, the more precise and accurate the targeting will be. However, the use of information for some people can also be considered a violation of privacy. Various research about personalized advertising been tested and have yielded mixed results both positive and negative on perceptions and behaviour, and provide directions for next research to testing various consumer factors as moderating variable. This study aims to fill the gaps in previous research by examining the role of consumer privacy concerns as a moderating variable that affects the relationship of personalized advertising on the perceived advertising value of consumers using a survey method on 131 respondents who are active users of Instagram in Indonesia. The findings of this study that advertising personalization have a positive effect on advertising value and purchase intention and privacy concerns do not moderate the effect of personalized advertising on advertising value. This is influenced by the factor of respondents aged 17-25 years, where they can be said to be the Tech Savvy generation. Further research suggestions are also discussed in this study.

How to empower parental responsibility: parents’ views on personalized advertising and online data collection targeting their teens

Purpose This study aims to explore whether parents perceive themselves as responsible for helping their teenage children (aged 13–17 years) cope with the persuasive effects of personalized advertising and the related process of online data collection. In addition, this study aims to examine how this parental responsibility is shaped. Design/methodology/approach A survey among parents (N = 354) of teenagers between the ages of 13 and 17 years was conducted. Findings Exploratory analyses showed that parents are highly concerned about their teens’ exposure to personalized advertising and online data collection, and that they consider themselves and the commercial companies behind these practices as responsible for protecting teenagers. Furthermore, the study showed that parents who believe that their children have higher levels of media skills presume less negative and more positive influences of personalized advertising on their children. The presumed negative influences increase parental concerns and responsibility, while presumed positive influences decrease parental concerns and responsibility. Originality/value Most previous studies on personalized advertising and online data collection were conducted among the teenagers themselves or discussed the regulatory framework concerning this topic. This study, however, focuses on one of the most important socialization agents that could help teenagers cope with these practices. To the best of the authors’ knowledge, this is one of the first studies to examine parents’ views regarding personalized advertising targeting teenagers and it provides insights in how parents perceive their own responsibility.

Reactance and turbulence: examining the cognitive and affective antecedents of ad blocking

Purpose One of the most effective tools used by interactive marketers is personalized advertising, which allows consumers to directly respond to customized offers to purchase a brand’s products and services. Yet, recent studies show many consumers are installing ad blockers to avoid personalized ads. This study aims to examine how ad skepticism, ad relevance and ad irritation predict ad avoidance directly, as well as indirectly through consumers’ attitudes toward personalized advertising. Also, considered were how these antecedents’ study in tandem to trigger consumers’ desire to avoid ads by installing ad-blocking software. Design/methodology/approach An online survey was administered to a pool of 1,313 paid panelists who were familiar with ad blocking and reported that they either currently used an ad blocker, previously used an ad blocker, were considering using an ad blocker or did neither use nor were they considering using an ad blocker. All hypotheses were addressed via path modeling using PROC CALIS in SAS 9.4. Findings Results indicate that attitudes toward personalized advertising are more complex than attitudes toward advertising in general and mediate the effect of ad relevance on ad avoidance. Likewise, trust in interactive marketers moderates attitude toward personalized advertising and the negative outcomes of ad avoidance and ad blocker usage among skeptical consumers. Also, the reported differences in ad avoidance based on participants’ current vs previous ad blocker usage suggest that former users are using a more sophisticated evaluation of the costs and benefits of using ad blockers. Practical implications Consumers’ trust in an interactive marketer to properly collect and use their information plays an important role in moderating negative outcomes associated with personalized advertising. Also, the key is the use of high-quality data (best obtained through a permission-based relationship with the consumer) to deliver relevant ads without stimulating reactance or (privacy-related) boundary turbulence. Findings suggest that bolstering trust by engaging in a transparent, permission-based relationship with consumers may mitigate the tendency to adopt ad blockers and enhance the effectiveness of interactive marketing efforts. Originality/value Ad blocking presents a significant threat to the effectiveness of interactive marketing efforts like personalized advertising. Previous research on the antecedents of ad blocking is limited, considers a broad range of factors and offers mixed findings. The present study examines an informed set of cognitive and affective factors suggested by previous ad blocking studies to predict consumers’ desire to avoid personalized ads by installing ad-blocking software. Given the continued threat to the interactive marketing industry posed by ad blocking, a greater understanding of consumers’ motivations to adopt and use ad blockers is critical.