Veröffentlichungen von Dr. Jens Mattke
Journal-Artikel (Peer Reviewed)
Meier, M., Maier, C., Mattke, J., and Weitzel, T. (2022)
Esports: Explaining Willingness to Pay for Streaming Services
Communications of the Association for Information Systems (CAIS) (50:1), p.286-307, https://doi.org/10.17705/1CAIS.05011 (VHB-JOURQUAL 3 Rating: C)
Online multiplayer computer game competitions—so-called esports—attract millions of spectators around the world and show spectator numbers comparable to the Super Bowl. Despite that, game publishers, which often organize these large-scale competitions, still struggle to establish esports as a profitable business venture. One way they can do so involves how they position fee-based streaming services for watching esports online. To draw spectators to their streaming services, esports organizers need to focus on attracting spectators with a high willingness to pay (WTP), and the streaming services need to satisfy spectators’ motivations. Grounded in uses and gratifications theory and a fuzzy set qualitative comparative analysis, our results show that four different configurations of motivations relate to WTP for esports streaming services. We contribute by showing that 1) motivations form WTP in the esports context, 2) multiple interacting motivations explain WTP, and 3) spectators follow different rationales for their high WTP.
Mattke, J., Maier, C., Weitzel, T., Gerow, J.E., and Thatcher, J.B. (2022)
Qualitative Comparative Analysis (QCA) In Information Systems Research: Status Quo, Guidelines, and Future Directions
Communications of the Association for Information Systems (CAIS) (50:1), p.208-240, https://www.uni-bamberg.de/isdl/veroeffentlichungen/preprint-manuskripte/ (VHB-JOURQUAL 3 Rating: C)
Qualitative Comparative Analysis (QCA) allows researchers to study how configurations of conditions lead to outcomes and thereby create rich explanations of the dynamics of complex digital phenomena. To advance a discussion on QCA in the Information Systems (IS) discipline, this paper introduces the fundamental concepts of QCA and offers guidelines for authors on how to apply QCA to advance IS research. We also provide checklists for reviewers of QCA papers. We illustrate the application of our guidelines through two exemplar studies. In exemplar study 1, we focus on IT-business strategic alignment to study the influence of different forms of alignment on firm performance. Exemplar study 2 uses the perspective of the integrated technology acceptance model to explain an individual’s intention to use a digital assistant. The contrasting results of both studies highlight how to use QCA to derive robust and reproducible results. By doing so, we advance the goal of encouraging IS scholars to use QCA for developing sophisticated models that provide accurate depictions of real-world IS phenomena.
Mattke, J., Maier, C., Weitzel, T., and Thatcher, J.B. (2021)
Qualitative comparative analysis in the information systems discipline: a literature review and methodological recommendations
Internet Research , , https://doi.org/10.1108/INTR-09-2020-0529 (VHB-JOURQUAL 3 Rating: k.R.)
Qualitative Comparative Analysis (QCA) is a promising, powerful method that is increasingly used for IS research. However, the Information Systems (IS) discipline still lacks a shared understanding of how to conduct and report QCA. This paper introduces the fundamental concepts of QCA, summarizes the status quo, and derives recommendations for future research.
A descriptive literature review in major IS outlets summarizes how and why QCA has been used in the IS discipline, critically evaluates the status quo, and derives recommendations for future QCA studies.
The literature review reveals 32 empirical research articles in major IS journals that have used the QCA method. Articles applied QCA to a broad range of research topics at the individual and organizational levels, mainly as a standalone analysis for theory development, elaboration and testing. The authors also provide evidence that most published IS research articles do not take full advantage of the potential QCA, such as analyzing necessary causal conditions or testing the robustness of QCA results. The authors provide seven actionable recommendations for future IS research using QCA.
Mattke, J., Maier, C., Reis, L., and Weitzel, T. (2021)
In-app advertising: a two-step qualitative comparative analysis to explain clicking behavior
European Journal of Marketing , , https://doi.org/10.1108/EJM-03-2020-0210 (VHB-JOURQUAL 3 Rating: C)
Individuals only click on a very small fraction of the in-app advertisements (ads) they are exposed to. Despite this fact, organizations spend generously placing in-app ads without theoretical knowledge of how the structure and the semantics of in-app ads influence individuals’ clicking behavior. This study aims to identify how the processing of structural and semantic factors leads to clicking behavior.
Based on the limited capacity theory, this paper proposes that the sequential processing of structural and semantic factors leads to clicking behavior. To mirror the sequential process, this paper applies a process-oriented configurational approach and performs a two-step qualitative comparative analysis (QCA) using 262 incidents of exposure to in-app ads.
The results support the proposed sequential processing and show that neither structural nor semantic factors alone lead to clicking behavior. This paper reveals four different paths of sequential processing of in-app ads that lead to clicking behavior. The results show that individuals click on non-animated in-app ads even though these are perceived as irritating or privacy-concerning. When the in-app ads are animated, individuals do only click on them when these are not irritating, privacy-concerning and personalized.
Organizations can use these findings to improve their in-app ads and generate more clicks. This study recommends that organizations place in-app ads in a prominent location, design them similar to the design of the app and use bright colors. The advertising message needs to have new and relevant information in a credible and entertaining way. Depending on the degree of personalization, organizations should use different sizes of the in-app ad and only use animation if it is unlikely that the in-app ad caused irritation or privacy concerns.
Organizations can use these findings to improve their in-app ads and generate more clicks. This paper recommends that organizations place in-app ads in a prominent location, design them similar to the design of the app and with bright colors. The advertising message needs to have new and relevant information in a credible and entertaining way. Depending on the degree of personalization, organizations should use different sizes of the in-app ad and only use animation if it is unlikely that the in-app ad caused irritation or privacy concerns.
From the in-app ad perspective, this study is the first to theoretically develop and empirically show the sequential processing of structural and semantic factors of in-app ads. From the methodological perspective, this study applies an advanced configurational two-step QCA approach, which is capable of analyzing sequential processes and is new to marketing research.
Mattke, J. and Maier, C. (2021)
Gamification: Explaining brand loyalty in mobile applications
AIS Transactions on Human-Computer Interaction (13:1), p.62-81, https://doi.org/10.17705/1thci.00142 (VHB-JOURQUAL 3 Rating: k.R.)
Gamification is one specific way to increase mobile app users' brand loyalty. We propose that the frequency with which one uses immersion-, achievement- and social-related features relates to brand loyalty. To provide empirical evidence for this proposal, we obtained quantitative data from surveying 243 users on the mobile application Duolingo and conducted a fuzzy-set qualitative comparative analysis (fsQCA). We found that users need to frequently use immersion- and achievement-related features to result in high brand loyalty. On the contrary, we found users who infrequently use at least two gamification features have low brand loyalty. These findings extend the gamification literature by revealing an interaction between multiple gamification features and extend mobile application research by showing how gamification features relate to high and low brand loyalty. We also guide practitioners on how to identify users at risk to discontinue and reduce customer churn.
Maier, C., Laumer, S., Tarafdar, M., Mattke, J., Reis, L., and Weitzel, T. (2021)
Challenge and hindrance IS use stressors and appraisals: Explaining contrarian associations in post-acceptance IS use behavior
Journal of the Association for Information Systems (JAIS) (22:6) , p.1590-1624, http://dx.doi.org/10.17705/1jais.00709 (VHB-JOURQUAL 3 Rating: A)
Post-acceptance IS use is the key to leveraging value from IS investments. However, it also poses many demands on the user. Drawing on the challenge-hindrance stressor framework, this study develops a theory to explain how and why IS use stressors influence post-acceptance use. We identify two different types of IS use stressors: challenge IS use stressors and hindrance IS use stressors. We hypothesize that they are appraised through challenge IS use appraisal and hindrance IS use appraisal, respectively, through which they influence routine use and innovative use. We evaluate our hypotheses by surveying 178 users working in one organization and analyze the data collected using consistent partial least square (PLSc). We find that challenge IS use stressors positively influence routine use and innovative use via challenge IS use appraisal. Hindrance IS use stressors negatively influence routine use via hindrance IS use appraisal. We then dive deeper into these findings using a two-step fuzzy set qualitative comparative analysis (fsQCA), identifying the presence of challenge IS use stressors and challenge IS use appraisal as necessary conditions for high innovative use. We also reveal that the presence of hindrance IS use stressors and hindrance IS use appraisal only influences routine use and innovative use in the absence of challenge IS use stressors and challenge IS use appraisal. We discuss the practical relevance and transferability of our findings based on a comprehensive applicability check. Our findings advance IS scholarship of IS use stress and post-acceptance use by showing how routine use and innovative use emanate from IS use stressors.
Maier, C., Laumer, S., Joseph, D., Mattke, J., and Weitzel, T. (2021)
Turnback Intention: An Analysis of the Drivers of IT Professionals’ Intentions to Return to a Former Employer
Management Information Systems Quarterly (MISQ) (45:4), p.1777-1806 (VHB-JOURQUAL 3 Rating: A+)
Recent statistics indicate that most organizations prefer to fill IT vacancies by rehiring IT professionals who previously worked in the organization. Less is known about what drives IT professionals to “turnback,” a term we define as returning to employment with a former employer. To explain this important and rarely considered IT job mobility behavior, we build on job embeddedness theory and on the concepts of shocks and job dissatisfaction from, among others, the unfolding model of voluntary turnover to develop the theory of IT professional turnback. We perform fuzzy-set qualitative comparative analysis (fsQCA) of data collected from 248 IT professionals to draw conclusions about the intention among IT professionals to return to work for a former employer, and develop a midrange theory. Our results reveal two configurations contributing to high turnback intention and three configurations contributing to low turnback intention. Our model distinguishes between work shocks, personal shocks, and IT work shocks. IT shocks are a new category of shocks specific to the IT profession. We contribute theoretically by theorizing a behavior relevant to IT professionals and explaining attributes driving turnback intention.
Pflügner, K., Maier, C., Mattke, J., and Weitzel, T. (2021)
Personality Profiles that Put Users at Risk of Perceiving Technostress: A Qualitative Comparative Analysis with the Big Five Personality Traits
Business & Information Systems Engineering (BISE) (63:4), p.389-402, https://doi.org/10.1007/s12599-020-00668-7 (VHB-JOURQUAL 3 Rating: B)
Some information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential exposure-reactivity model to investigate which personality profiles of the Big Five personality traits predispose users to perceive techno-stressors. Using a questionnaire, data was collected from 221 users working in different organizations. That data was analyzed using fuzzy set Qualitative Comparative Analysis (fsQCA). Based on the results, six different personality profiles that predispose to perceive high techno-stressors are identified. By investigating personality traits in terms of profiles, it is shown that a high and a low level of a personality trait can influence the perception of techno-stressors. The results will allow users and practitioners to identify individuals who are at risk of perceiving techno-stressors based on their personality profile. The post-survey analysis offers starting points for the prevention of perceived techno-stressors and the related negative consequences for specific personality profiles.
Reis, L., Maier, C., Mattke, J., Creutzenberg, M., and Weitzel, T. (2020)
Addressing User Resistance Would Have Prevented a Healthcare AI Project Failure
MIS Quarterly Executive (19:4), p. 279-296, http://dx.doi.org/10.17705/2msqe.00038 (VHB-JOURQUAL 3 Rating: B)
Integrating artificial intelligence (AI) into existing work routines involves invasive changes, and the resulting user resistance can lead to project failure. We describe a failed AI project at a large hospital to implement a cognitive agent and identify the root causes of the user resistance that led to the failure. Based on the lessons learned, we provide recommendations for addressing the causes of resistance for the three types of AI—automation, decision support and engagement.
Mattke, J., Maier, C., Reis, L., and Weitzel, T. (2020)
Herd behavior in social media: The role of Facebook likes, strength of ties, and expertise
Information & Management (57:8), 103370, https://doi.org/10.1016/j.im.2020.103370 (VHB-JOURQUAL 3 Rating: B)
When do social media users click on sponsored content or intend to visit the website at a later time? A qualitative comparative analysis (QCA) using arguments based on herd theory, strength of ties, and social distance shows that only “likes” from socially close and knowledgeable users can consistently generate click-through or view-through intentions. Considering social tie strength in a herd behavior context, the analysis of sufficient configurations for click- and view-through intentions provides a nuanced perspective on social media user behavior and social influence. For instance, click-through intention requires observing a “like” from a close person, while view-through intentions can also develop after observing “likes” from less close acquaintances, yet in the last case only if the user assumes the acquaintance is better informed regarding the sponsored content. In addition, a “like” from a close friend deemed better informed can even make a user click on a sponsored content that was not considered valuable before.
Maier, C., Mattke, J., Pflügner, K., and Weitzel, T. (2020)
Smartphone use while driving: A fuzzy-set qualitative comparative analysis of personality profiles influencing frequent high-risk smartphone use while driving in Germany
International Journal of Information Management (55), 102207, https://doi.org/10.1016/j.ijinfomgt.2020.102207 (VHB-JOURQUAL 3 Rating: C)
Smartphone use while driving causes car crashes, injuries and high death rates. To date, there is little research into what motivates frequent smartphone use while driving. In this study, we draw on psychological research indicating that personality profiles defined as constellations of multiple personality traits, influence individual beliefs and behaviors. We apply fuzzy-set qualitative comparative analysis (fsQCA) to survey data to derive profiles of drivers who use their smartphone frequently while driving. Our results indicate that personality profiles affect smartphone use behavior while driving and that three equifinal profiles, i.e. distinct constellations of the big five personality traits, influence frequent smartphone use while driving. Interestingly, a single trait can be low in one profile and high in another profile and, depending on the other traits, both profiles might reflect drivers using their smartphone frequently. We contribute to the literature that frequent smartphone use while driving is, to some degree, grounded in personality and that just looking at singular traits can yield misleading results. Complementing these theoretical insights by post-survey interviews, we can reveal distinct measures that reduce frequent smartphone use for each of the three profiles.
Mattke, J., Maier, C., Reis, L., and Weitzel, T. (2020)
Bitcoin investment: a mixed methods study of investment motivations
European Journal of Information Systems (EJIS) (30:3), p. 261-285, https://doi.org/10.1080/0960085X.2020.1787109 (VHB-JOURQUAL 3 Rating: A)
Bitcoin is a well-established blockchain-based cryptocurrency that has attracted a great deal of attention from media and regulators alike. While millions of individuals invest in bitcoin, their motivations for doing so are less clear than with traditional investment decisions. We argue that the technical nature of bitcoin investments gives it unique characteristics and, consequently, that we lack a thorough understanding of how this affects the motivations behind bitcoin investment. We use a mixed method approach consisting of qualitative (n = 73) and quantitative (n = 150) studies and fuzzy-set qualitative comparative analysis (fsQCA) to identify seven bitcoin-specific motivations (profit expectancy, ease of bitcoin acquisition, support of bitcoin ideology, investment skills, risk affinity, anticipated and experienced inaction regret) and how configurations of them explain bitcoin investment. The findings reveal, among others, that some individuals invest in bitcoin because they support the bitcoin ideology. Contrary to the traditional investment literature, profit expectancy is not a necessary condition to the extent that there is one empirical configuration of motivations that explains that individuals also invest in bitcoin even if they do not expect profits. The results disclose non-trivial investment motivation configurations and lay the groundwork for future studies of the role of cryptocurrencies in society.
Mattke, J., Maier, C., Hund, A., and Weitzel, T. (2019)
How an Enterprise Blockchain Application in the U.S. Pharmaceuticals Supply Chain is Saving Lives
MIS Quarterly Executive (18:4), (p. 245 - 261), http://dx.doi.org/10.17705/2msqe.00019 (VHB-JOURQUAL 3 Rating: B)
This article describes the MediLedger Project, which has built a blockchain ecosystem application that will prevent counterfeit pharmaceuticals from entering the U.S. pharmaceuticals supply chain. From the lessons learned, we recommend to 1) use a "benevolent dictator" and base governance on "consensus through collaboration", 2) to not store verified transactions on the blockchain but to instead store the verification on the blockchain, 3) to use zero-knowledge proofs to verify product and transaction authenticity while preserving full privacy 4) and to use blockchain application capabilities that are not found in traditional technologies, to fix ineffective IS landscapes.
Konferenz-Artikel (Peer Reviewed)
Meier, M., Mattke, J., and Maier, C. (2022)
Decentralized Finance: A Configurational Perspective on UTAUT
Proceedings of the 30th European Conference on Information Systems (ECIS), Timisoara, Romania
Blockchain-based decentralized finance (DeFi) enables financial transactions without intermediaries. Among its most diffused applications is DeFi borrowing, which allows users to borrow money from other users. DeFi borrowing relies on sufficient users requesting money, making it essential for blockchain technology platform providers to understand why users intend to use DeFi borrowing. To explain this, we turn to the unified theory of acceptance and use of technology (UTAUT). Given that existing studies differ in how the beliefs of UTAUT influence use intention, we explain previous findings by suggesting that multiple beliefs together, so-called configurations, lead to high and low use intention. Following a configurational approach on potential users of DeFi borrowing, we reveal three configurations resulting in high use intention and two configurations resulting in low use intention. We contribute by explaining DeFi borrowing use intention and resolving previous differing findings on UTAUT by taking a configurational perspective.
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.