Mattke Jens

M.Sc. (International Information Systems Management)

Jens Mattke, ist wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik und Dienstleistungen an der Universität Bamberg. Er arbeitet im VAWi-Projekt, welches den größten deutschsprachen Ferstudienmaster in Wirtschaftsinformatik anbietet (VAWi). In diesem Projekt ist er für die operative Leitung des Studiengangs, das Management der IT-Infrastruktur sowie die strategische Entwicklung des Studiengangs verantwortlich.

In seiner Forschung beschäftigt er sich mit der Nutzung digitaler Technologien im E-Commerce (z.B. In-App-Advertising, personalisierte Werbung, Einsatz von Blockchain und Kryptowährung) und erarbeitet insbesondere methodische und theoretische Beiträge durch konfigurationale Forschungsansätze.

Seine Arbeiten wurden in Fachzeitschriften wie dem MIS Quarterly (MISQ), Journal of the Association for Information Systems (JAIS), European Journal of Information Systems (EJIS), Information and Management (I&M), MIS Quarterly Executive (MISQE), International Journal of Information Management (IJIM), Business & Information Systems Engineering (BISE) sowie auf mehreren internationalen Konferenzen (z.B. ICIS, ECIS, AMCIS, HICSS) veröffentlicht.
Auch wurde er zu seinem Forschungsgebiet in Radio (u.a. Bayern 2) sowie in verschiedenen Zeitschriften und Tageszeitungen (u.a. Handelsblatt, Spiegel, Wirtschaftswoche, Bild) interviewt und seine Forschungsergebnisse wurden regelmäßig aufgegriffen.

Seine Forschung wurde mit dem SIGADIT 2019 und dem International Conference on Wirtschaftsinformatik 2019 Best Paper Award ausgezeichnet.

Im Rahmen seiner Lehre ist Jens Betreuer der Lehrveranstaltung "E-Finance". Außerdem ist er für die Lehrinhalte Data Analytics und Machine Learning in der Lehrveranstaltung "Data Science" verantwortlich.

Ausgewählte Veröffentlichungen

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 , , (VHB-JOURQUAL 3 Rating: k.R.)

View Abstract
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.

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+)

View Abstract
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.

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, (VHB-JOURQUAL 3 Rating: A)

View Abstract
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., 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

View Abstract
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.

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), (VHB-JOURQUAL 3 Rating: B)

View Abstract
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.

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

View Abstract
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.