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Auflistung nach Autor:in "Nofer, Michael"

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  • Zeitschriftenartikel
    Blockchain
    (Business & Information Systems Engineering: Vol. 59, No. 3, 2017) Nofer, Michael; Gomber, Peter; Hinz, Oliver; Schiereck, Dirk
  • Zeitschriftenartikel
    Der ökonomische Einfluss von Privacyverletzungen und Securityvorfällen
    (Wirtschaftsinformatik: Vol. 56, No. 6, 2014) Nofer, Michael; Hinz, Oliver; Muntermann, Jan; Roßnagel, Heiko
    Privacy- und Securityvorfälle stellen eine ernsthafte Bedrohung für den Erfolg eines Unternehmens dar. Während frühere Untersuchungen sich hauptsächlich auf Sekundäreffekte konzentriert haben (d. h. Kapitalmarktreaktionen in Folge von Privacy- und Security-Vorfällen), widmet sich diese Studie Primäreffekten und beleuchtet die direkte Kundenreaktion. In einem Laborexperiment wird zwischen dem Einfluss von Privacy- und Security-Vorfällen auf das Vertrauen und das Verhalten von Personen unterschieden. Es finden sich Hinweise auf das sogenannte Datenschutzparadoxon, wonach sich im Bereich des Datenschutzes die Intention vom Verhalten unterscheidet. Während Privacy sehr wichtig für die Vertrauensbildung ist, wirkt Security stärker auf das tatsächliche Verhalten. Nach den Ergebnissen dieser Studie bleibt die Lücke zwischen Intentionen und Verhalten auch nach dem Auftreten eines Datenschutzvorfalls bestehen.AbstractPrivacy and security incidents represent a serious threat for a company’s business success. While previous research in this area mainly investigated second-order effects (e.g., capital market reactions to privacy or security incidents), this study focuses on first-order effects, that is, the direct consumer reaction. In a laboratory experiment, the authors distinguish between the impact of privacy violations and security breaches on the subjects’ trust and behavior. They provide evidence for the so-called “privacy paradox” which describes that people’s intentions, with regard to privacy, differ from their actual behavior. While privacy is of prime importance for building trust, the actual behavior is affected less and customers value security higher when it comes to actual decision making. According to the results, consumers’ privacy related intention-behavior gap persists after the privacy breach occurred.
  • Zeitschriftenartikel
    Quantum Computing
    (Business & Information Systems Engineering: Vol. 65, No. 4, 2023) Nofer, Michael; Bauer, Kevin; Hinz, Oliver; Aalst, Wil; Weinhardt, Christof
  • Zeitschriftenartikel
    The Economic Impact of Privacy Violations and Security Breaches
    (Business & Information Systems Engineering: Vol. 6, No. 6, 2014) Nofer, Michael; Hinz, Oliver; Muntermann, Jan; Roßnagel, Heiko
    Privacy and security incidents represent a serious threat for a company’s business success. While previous research in this area mainly investigated second-order effects (e.g., capital market reactions to privacy or security incidents), this study focuses on first-order effects, that is, the direct consumer reaction. In a laboratory experiment, the authors distinguish between the impact of privacy violations and security breaches on the subjects’ trust and behavior. They provide evidence for the so-called “privacy paradox” which describes that people’s intentions, with regard to privacy, differ from their actual behavior. While privacy is of prime importance for building trust, the actual behavior is affected less and customers value security higher when it comes to actual decision making. According to the results, consumers’ privacy related intention-behavior gap persists after the privacy breach occurred.
  • Zeitschriftenartikel
    Using Twitter to Predict the Stock Market
    (Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Nofer, Michael; Hinz, Oliver
    Behavioral finance researchers have shown that the stock market can be driven by emotions of market participants. In a number of recent studies mood levels have been extracted from Social Media applications in order to predict stock returns. The paper tries to replicate these findings by measuring the mood states on Twitter. The sample consists of roughly 100 million tweets that were published in Germany between January, 2011 and November, 2013. In a first analysis, a significant relationship between aggregate Twitter mood states and the stock market is not found. However, further analyses also consider mood contagion by integrating the number of Twitter followers into the analysis. The results show that it is necessary to take into account the spread of mood states among Internet users. Based on the results in the training period, a trading strategy for the German stock market is created. The portfolio increases by up to 36 % within a six-month period after the consideration of transaction costs.