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 (31:5), p.1493-1517, https://doi.org/10.1108/INTR-09-2020-0529 (VHB-JOURQUAL 3 Rating: k.R.)Highly Recommended Paper Award
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 (55:8), p.2146-2173, 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.