Publications by Jens Mattke
Conference Articles (Peer Reviewed)
Mattke, J. (2019)
Advertising-Funded IS: A Literature Review on Factors Influencing Users Clicking Behavior for In-App Ads
Forthcoming in: Proceedings of the 25th Americas Conference on Information Systems (AMCIS), Cancún, Mexico
Clicks on in-app ads are the key pillar in financing the development and maintenance of apps. Therefore, the design of apps and in-app ads becomes an important task in the development of an app in order to increase the likelihood that users click on in-apps. To support the design, organizations need to know which factors influence user's clicking behavior. To reveal those factors, we base on the information processing theory and conduct a literature review to reveal structural and semantic factors. We reveal four structural factors (animation, color brightness, location prominence and size), which influence user's clicking behavior. Additionally, we identify seven semantic factors (entertainment value, informativeness, usefulness, personalization, congruity, irritation and privacy concern), which influence user's clicking behavior. Based on these findings, we propose considering additional structural and semantic factors and advise future research to examine the mutual influence of both semantic and structural factors.
Pflügner, K., Mattke, J., and Maier, C. (2019)
Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress
Proceedings of the 14th International Conference on Wirtschaftsinformatik , Siegen, GermanyBest Paper Award
The purpose of the current study is to reveal personality profiles that predispose to the experience of techno-stressors within an organizational setting. These insights are useful because techno-stressors lead to considerable costs and adverse health effects. We use the theoretical lens of the transaction-based model of stress to study the effect of the Big Five personality traits on techno-stressors. We distributed a self-rating questionnaire among 221 individuals and analyzed data using fuzzy set Qualitative Comparison Analysis. The results reveal that six different personality profiles lead to the experience of techno-stressors. The study contributes to research by revealing that personality traits need to be investigated in profiles when studying their role in technostress and that different profiles of the Big Five predispose to techno-stressors. The results are useful for practitioners as they allow the prevention of techno-stressors and negative consequences by detecting users who are at risk at an early stage.
Mattke, J., Müller, L., and Maier, C. (2019)
Paid, Owned and Earned Media: A Qualitative Comparative Analysis revealing Attributes Influencing Consumer's Brand Attitude in Social Media
Proceedings of the 51th Hawaii International Conference on System Sciences (HICSS), Hawai
This paper examines how companies can use paid media (referring to sponsored posts), owned media (company posts) and earned media (influencer post) to create a positive brand attitude. Based on the advertising value model, this paper takes a configurational approach and uses fuzzy set qualitative comparative analysis (fsQCA). The analysis reveals a typology of five types of media, which influence consumers' brand attitude positively. We contribute to research by providing a typology of paid, owned and earned media, which can guide companies to create a positive brand attitude.
Mattke, J., Hund, A., Maier, C., and Weitzel, T. (2018)
Will the real Value of Blockchain Please Stand Up? Lessons Learned from Multiple Blockchain Projects
Proceedings of the MISQE Special Issue Workshop, San Francisco
(Research in Progress)
Mattke, J., Maier, C., Müller, L., and Weitzel, T. (2018)
Typology of User Resistance Behavior: A Study Explaining Why Individuals Resist Using Bitcoin
Proceedings of the 39th International Conference on Information Systems (ICIS), San Francisco
Bitcoin could revolutionize the system of payments, yet most individuals do not use Bitcoin as a means of payment. As the success of Bitcoin as a means of payment depends upon a high number of individuals using Bitcoin, this study examines why individuals resist Bitcoin as a means of payment. We draw on the status quo bias perspective and take a configurational approach, using fuzzy set qualitative comparison analysis (fsQCA). The analysis reveals a typology of four types of resistant users, who resist Bitcoin as a means of payment: the regret driven resistant user, the uncertainty driven resistant user, the transition cost driven resistant user and the cost driven resistant user. We contribute to resistance research and Bitcoin research by providing a typology of resistant users and identifying equifinal configurations of influencing factors leading to individual's resistance to Bitcoin as a means of payment.
Müller, L., Mattke, J., and Maier, C. (2018)
Online Advertising Research Through the Ad Delivery Process: A Literature Review
Proceedings of the ACM SIGMIS CPR Conference
Müller, L., Mattke, J., and Maier, C. (2018)
#Sponsored #Ad: Exploring the Effect of Influencer Marketing on Purchase Intention
Proceedings of the Americas Conference on Information Systems (AMCIS)
Mattke, J., Müller, L., and Maier, C. (2018)
Why do Individuals Avoid Social Media Advertising: A Qualitative Comparison Analysis Study
Proceedings of the 26th European Conference on Information Systems (ECIS)
Companies spend billions of dollars in social media advertising, yet some social media users actively avoid social media advertising for instance by scrolling over ads. To understand that, this research builds upon the advertising avoidance model and applies a qualitative comparison analysis (QCA) to identify configurations of perceptions of avoidance. We reveal disruption, distraction, excessiveness and lack of incentive as perceptions that are necessary - yet not sufficient for evoking the avoidance of social media advertising. Furthermore, we reveal three distinct configurations of perceptions that are sufficient and lead to avoidance of social media advertising. This research contributes by uncovering the influence of configurations on social media advertising avoidance and companies can use these findings to reduce the effect of social media users actively avoiding social media advertising.
Mattke, J., Müller, L., Maier, C., and Graser, H. (2018)
Avoidance of Social Media Advertising: A Latent Profile Analysis
Proceedings of the ACM SIGMIS CPR Conference
Some individuals actively avoid social media advertising, for instance by scrolling over ads or ignoring ads. Therefore, this research aims to identify distinct profiles of individuals avoiding social media advertising. We build upon the advertising avoidance model and take a person-centered approach, using latent profile analysis to identify different profiles of individuals, who avoid social media advertising. We identified three distinct profiles of individuals, differing in their perception and their level of avoidance: unconcerned users, playful avoiding users and goal-oriented users. We contribute by characterizing individuals avoiding SMA, so that companies can use these profiles to derive different strategies how to deal with different profiles of individuals.
Mattke, J., Müller, L., Maier, C., and Weitzel, T. (2017)
Engagement with Social Ads: Explaining the Influence of Herding in Social Media Advertising
Proceedings of the Special Interest Group on Adoption and Diffusion of Information Technology (DIGIT) (Pre-ICIS Workshop), Seoul, South Korea
(Research in Progress)Best Paper Nominee
Social media uses social ads that are enriched with social media likes (SMLs). Yet, existing research on advertising cannot explain how SMLs influence individuals' engagement with social ads. We build upon herding literature and the theory of the strengths of ties and explain how the observation of social ads enriched with SMLs influences individuals' intention to engage with the social ad. This paper explains the effect 1) of the pure number of SMLs of a social ad and 2) the effect of SMLs from strongly or weakly tied friends on individuals' engagement with social ads. We thereby contribute to a better understanding why individuals click on social ads and provide practical implications for social media marketing' campaigns.
Müller, L., Mattke, J., Maier, C., and Weitzel, T. (2017)
The Curse of Mobile Marketing: A Mixed Methods Study on Individuals' Switch to Mobile Ad Blockers
Proceedings of the Thirty-eighth International Conference on Information Systems (ICIS), Seoul, Korea
Mobile marketing investment continues to rise steadily even though online publishers have not realized the desired returns, due to increased use of mobile ad blockers. In this study, we take a mixed methods approach, embracing qualitative, quantitative and configurational approaches, to understand why individuals switch to using mobile ad blockers. We draw on the pull-push-mooring model to evaluate what configurations of pull, push and mooring factors influence individuals' decision to switch to using mobile ad blockers, identifying four distinct configurations of influencing factors resulting in the intention to switch. Furthermore, we specify the unequal effects of influencing factors and validate the quality of our results. Our research deepens the theoretical understanding of the phenomenon of switching to mobile ad blockers and provides valuable implications to online publishers facing the challenge of rising mobile ad blocker use.
Mattke, J., Müller, L., and Maier, C. (2017)
Why do individuals block online ads? An explorative study to explain the use of ad blockers
Proceedings of the Twenty-third Americas Conference on Information Systems (AMCIS), Boston, MA, USA
Ad blockers are a challenging trend for online publishers, as an increasing number of individuals use ad blockers. To understand why individuals switch to the use of ad blockers, this research presents empirical findings that explain why individuals develop switching intentions. Based on migration theory, we explain that individuals' intention to switch to the use of ad blockers are grounded in factors that pull individuals to use ad blockers, push them away from not using ad blockers, and mooring factors either hinder switching intention or determine how pull and push factors are translated in switching intentions. We conducted 42 interviews and identified relative user experience, increased performance, improved privacy protection and improved security as pull factors, dissatisfaction with online ads as push factor and computer self-efficacy as mooring factor. This contributes to theory by providing an explanation why individuals develop to ad blocker users.