Publications by Jens Mattke
Conference Articles (Peer Reviewed)
Straubert, C., Sucky, E., and Mattke, J. (2021)
Blockchain Technology for Tracking and Tracing in Supply Chains: A Critical Viewpoint
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii
Tracking and tracing (TnT) in supply chains (SCs) is often mentioned as a very promising area of application for blockchains. At the same time, there is also much reticence and even disillusionment in practice. In this context, we present a literature meta-review and discuss the advantages and disadvantages of using blockchains in SCs. We find that public permissionless blockchains offer new functionalities (e.g. pseudonymity), which however are often not desired. Moreover, a blockchain loses value in the context of SCs because there is a physical level (goods) in addition to the digital level (information) and these two levels do not necessarily match. Furthermore, we present a survey of TnT solution providers, which indicates that there are complexity and collaboration problems in supply chains that even a blockchain cannot alleviate. Nevertheless, the surveyed experts generally have a positive attitude towards the blockchain and are willing to give it a chance.
Mattke, J., Maier, C., and Reis, L. (2020)
Security Token Offerings: A Risk as Feelings Theoretic Perspective on Investment
Proceedings of the 41th International Conference on Information Systems (ICIS), Hyderabad, India
(Research in Progress)
Security Token Offerings (STOs) are a blockchain-enabled way for organizations to raise capital. To realize this, STO needs to base on a broad user base, which is currently not established. We take an individual-level perspective and examines why individuals decide to invest in STO. We suggest a mixed-method approach and build upon the theoretical perspective of the Risk as Feelings hypothesis to study what shapes STO investment decisions. In Study 1, we identify perceptions and anticipatory feelings. Perceptions include profit expectancy, personal need, benefit of gaining STO expertise, support of disruption, trust in financial regulator’s approval, financial flexibility, low investment barriers, and opportunity for diversification. The identified anticipatory feelings are excitement, enjoyment, anxiety, and fear of missing out that individuals experience when deciding to invest. In the ongoing Study 2, we will analyze how individuals decide when the cognitive evaluation and feelings contradict each other resulting in decisional conflict.
Mattke, J. and Maier, C. (2020)
Gamification: Feature-Rich Mobile Applications, Brand Awareness and Loyalty
Proceedings of the 28th European Conference on Information Systems (ECIS), Marrakesh, Morocco
Mobile applications (apps) take advantage of gamification features to increase users’ brand equity in terms of brand awareness and loyalty. Previous research has shown that individuals use three types of gamification features: immersion-, achievement- and social-related features. We base on that knowledge and provide empirical insights into how the use frequency of these three types of gamification features relates to high brand equity. We base on a quantitative study of 150 users of the mobile app Duolingo, apply a fuzzy-set qualitative comparative analysis (fsQCA) and suggest three ways how the frequency of using the three types of gamification features relates to high brand equity. The results show that there is one way in which the user frequently uses two types of features and there are two ways in which the user uses one type feature frequently and uses a second type of feature seldom. We contribute to gamification literature by revealing that there is an interplay of the three types of gamification fea-tures and to mobile app research by showing how gamification features relate to high brand equity. We also guide practitioners on how to identify users at risk to discontinue and reduce the customer churn.
Mattke, J., Maier, C., and Reis, L. (2020)
Is Cryptocurrency Money? Three Empirical Studies Analyzing Medium of Exchange, Store of Value and Unit of Account
Proceedings of the ACM SIGMIS Conference on Computers and People Research, Nuremberg, Germany
Cryptocurrencies, such as Bitcoin, Ethereum or Ripple, are discussed as a new form of money. Typically, money fulfills three core functions: 1) medium of exchange, 2) store of value, and 3) unit of account. To examine whether individuals consider cryptocurrencies as money, we conduct three studies. Study 1 (N=57) provides valid and reliable measurement items for the three core functions of money. Study 2 (N=95) shows that the general perception about the fulfillment of the core functions is rather positive for cryptocurrencies. The results from Study 3 (N=99) furthermore reveal that Bitcoin is perceived significantly better in fulfilling all three functions than Ethereum or Ripple. The findings suggest that cryptocurrency research needs to include or at least control for the basic perceptions of core functions when examining individuals’ adoption or use of cryptocurrency as money. Furthermore, the findings suggest that existing knowledge from Bitcoin use or adoption research cannot be easily transferred to the context of another cryptocurrency.
Reis, L., Maier, C., Mattke, J., and Weitzel, T. (2020)
Chatbots in Healthcare: Status Quo, Application Scenarios for Physicians and Patients and Future Directions
Proceedings of the 28th European Conference on Information Systems (ECIS), Marrakesh, Morocco
The implementation of chatbots in healthcare offers high potentials for patients and physicians. Among others, chatbots reduce physicians’ administrative workload and weaken the worse consequences coming along with the lack of physicians. However, to implement chatbots in healthcare successfully, we need to respect special characteristics of the domain, such that the shared data is highly sensitive and that an incorrect or incomplete chatbot answer can have far-reaching negative consequences for health and life. To examine this field of research and its specific characteristics, we perform a qualitative study with 23 physicians from different fields having experience with automation in the healthcare sector. We identify seven application scenarios for chatbots from the physicians’ perspective and seven further application scenarios physicians assess as useful for patients. Nine of them enlarge and five of them validate the existing five application scenarios in literature. We contribute to research in the stream of chatbots by offering a combined perspective of physicians and patients. We also contribute by revealing specific domain characteristics from the physicians’ perspective, such as e.g. the liability question and privacy concerns. Based on that, we offer future research directions, in terms of next steps, but also potential negative sides of chatbot implementations.
Reis, L., Mattke, J., Maier, C., and Weitzel, T. (2020)
Conversational Agents in Healthcare: Using QCA to Explain Patients' Resistance to Chatbots for Medication
Proceedings of the Conversations 2020: 3rd International Workshop on Chatbot Research and Design, Amsterdam, Netherlands
Complete information is very important to the accuracy of diagnosis in healthcare. Therefore, the idea to use conversational agents recording relevant information and providing it to healthcare facilities is of rising interest. A promising use case of the involvement of conversational agents is medication, as this data is often fragmented or incomplete. The paper at hand examines the hindrances in the way of patients sharing their medication list with a chatbot. Basing on established theories and using fuzzy-set qualitative comparative analysis (QCA), we identify bundles of factors that influence patients lacking willingness to interact with a chatbot. Those typologies of patients can be used to address these hindrances specifically, providing useful insights for theory and healthcare facilities.
Müller, L., Mattke, J., and Weitzel, T. (2019)
Not Talking to Robo-Doc: A QCA Study Examining Patients' Resistance to Chatbots for Anamnesis
Proceedings of the Special Interest Group on Adoption and Diffusion of Information Technology (DIGIT) (Pre-ICIS Workshop), Munich, GermanyBest Paper Award
The usage of chatbots in healthcare is rising, due to significant cost and time savings. A promising use case is the automation of the time-intensive anamnesis, however many patients are unwilling to share their personal health records with a chatbot. This paper examins patients' resistance to using a chatbot for anamnesis. We base on status quo bias perspective and its provided influencing factors and use a fuzzy-set qualitative comparative analysis (QCA) to identify configurations, thus conjunctions of the factors that when working together lead to patients' resistance of using a chatbot for anamnesis. The identified three configurations contribute to chatbot research, examining causes for resistance instead of acceptance and resistance research, identifying typologies of patients, who resist using a chatbot for anmanesis. We also provide useful insights for healthcare facilities thinking about the implementation of a chatbot for anamnesis.
Müller, L., Mattke, J., Maier, C., Weitzel, T., and Graser, H. (2019)
Chatbot Acceptance: A Latent Profile Analysis on Individuals' Trust in Conversational Agents
Proceedings of the 19th ACM SIGMIS Conference on Computers and People Research, Nashville, Tennessee,USA
According to industry reports, the lack of trust in non-human interaction prevents widespread Chatbot acceptance. Since the willingness and the ability to trust varies between individuals, this study examines to what extent the trust in Chatbots varies accordingly to different personality profiles. Drawing on the HEXACO dimensions of personality, we apply a latent profile analysis and identify three distinct personality profiles, which significantly vary in their trust in Chatbots. A high level of trust in Chatbots, e.g. Alexa, is mainly affected by the two personality dimensions Extraversion and Agreeableness and only slightly by Honesty-Humility. To prevent commercial underperformance and the shutdown of their Chatbot, providers should make sure that users trust in their Chatbot. This can be accomplished, if the Chatbot treats each user based on his or her membership in one of the three profiles identified in this study.
Pflügner, K., Mattke, J., and Weitzel, T. (2019)
Which Combinations of Techno-Stressors Harm Users and Organizations: A Qualitative Comparative Analysis
Proceedings of the Special Interest Group on Adoption and Diffusion of Information Technology (DIGIT) (Pre-ICIS Workshop), Munich, Germany
The purpose of the current study is to examine which combinations of techno-stressors lead users to be burned out or perform low due to their stressful use of information systems. Therefore, we take a configurational approach and investigate configurations of techno-stressors for job burnout and low job performance. We conduct a two-wave study, survey 166 employees and analyze the data by using fuzzy set qualitative comparative analysis (fsQCA). The results reveal four configurations leading to job burnout and one configuration leading to low job performance. The study contributes to technostress research by showing that techno-stressors need to be studied in configurations, by highlighting that job burnout and low job performance are caused by different configurations and by revealing that high as well as low levels of a techno-stressor can initiate the adverse reactions of users.
Mattke, J. (2019)
Advertising-Funded IS: A Literature Review on Factors Influencing Users Clicking Behavior for In-App Ads
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)
Bitcoin resistance behavior: a QCA study explaining why individuals resist bitcoin as a means of payment
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 18th ACM SIGMIS Conference on Computers and People Research, Buffalo-Niagara Falls, New York, USA
Müller, L., Mattke, J., and Maier, C. (2018)
#Sponsored #Ad: Exploring the Effect of Influencer Marketing on Purchase Intention
Proceedings of the 24th Americas Conference on Information Systems (AMCIS), New Orleans, Louisiana, USA
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 18th ACM SIGMIS Conference on Computers and People Research
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 38th 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.