@article{17086,
  author       = {{Gries, Thomas and Redlin, Margarete}},
  issn         = {{1612-4804}},
  journal      = {{International Economics and Economic Policy}},
  pages        = {{923--944}},
  title        = {{{Trade and economic development: global causality and development- and openness-related heterogeneity}}},
  doi          = {{10.1007/s10368-020-00467-1}},
  volume       = {{17}},
  year         = {{2020}},
}

@article{13175,
  abstract     = {{Today, organizations must deal with a plethora of IT security threats and to ensure smooth and
uninterrupted business operations, firms are challenged to predict the volume of IT security vulnerabilities
and allocate resources for fixing them. This challenge requires decision makers to assess
which system or software packages are prone to vulnerabilities, how many post-release vulnerabilities
can be expected to occur during a certain period of time, and what impact exploits might have.
Substantial research has been dedicated to techniques that analyze source code and detect security
vulnerabilities. However, only limited research has focused on forecasting security vulnerabilities
that are detected and reported after the release of software. To address this shortcoming, we apply
established methodologies which are capable of forecasting events exhibiting specific time series
characteristics of security vulnerabilities, i.e., rareness of occurrence, volatility, non-stationarity,
and seasonality. Based on a dataset taken from the National Vulnerability Database (NVD), we use
the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to measure the forecasting
accuracy of single, double, and triple exponential smoothing methodologies, Croston's methodology,
ARIMA, and a neural network-based approach. We analyze the impact of the applied forecasting
methodology on the prediction accuracy with regard to its robustness along the dimensions of the
examined system and software package "operating systems", "browsers" and "office solutions" and
the applied metrics. To the best of our knowledge, this study is the first to analyze the effect
of forecasting methodologies and to apply metrics that are suitable in this context. Our results
show that the optimal forecasting methodology depends on the software or system package, as some
methodologies perform poorly in the context of IT security vulnerabilities, that absolute metrics
can cover the actual prediction error precisely, and that the prediction accuracy is robust within the
two applied forecasting-error metrics.}},
  author       = {{Yasasin, Emrah and Prester, Julian and Wagner, Gerit and Schryen, Guido}},
  issn         = {{0167-4048}},
  journal      = {{Computers & Security}},
  number       = {{January}},
  title        = {{{Forecasting IT Security Vulnerabilities - An Empirical Analysis}}},
  volume       = {{88}},
  year         = {{2020}},
}

@article{35723,
  abstract     = {{<jats:p>The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.</jats:p>}},
  author       = {{Hoffmann, Martin W. and Wildermuth, Stephan and Gitzel, Ralf and Boyaci, Aydin and Gebhardt, Jörg and Kaul, Holger and Amihai, Ido and Forg, Bodo and Suriyah, Michael and Leibfried, Thomas and Stich, Volker and Hicking, Jan and Bremer, Martin and Kaminski, Lars and Beverungen, Daniel and zur Heiden, Philipp and Tornede, Tanja}},
  issn         = {{1424-8220}},
  journal      = {{Sensors}},
  keywords     = {{Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  title        = {{{Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions}}},
  doi          = {{10.3390/s20072099}},
  volume       = {{20}},
  year         = {{2020}},
}

@phdthesis{35956,
  author       = {{Schwabl, Franziska}},
  publisher    = {{Eusl-Verlagsgesellschaft mbH}},
  title        = {{{Inszenierungen im digitalen Bild. Eine Rekonstruktion der Selfie-Praktiken Jugendlicher mittels der Dokumentarischen Bildinterpretation.}}},
  year         = {{2020}},
}

@article{35968,
  author       = {{Schwabl, Franziska}},
  journal      = {{bwp@Berufs-und Wirtschaftspädagogik – online}},
  pages        = {{1--24}},
  title        = {{{Fotografien als Zugang zur Lebenswelt Jugendlicher. Eine Analyse der digitalen Inszenierungspraktiken Jugendlicher im berufsschulischen Übergangssystem.}}},
  volume       = {{38}},
  year         = {{2020}},
}

@article{17862,
  author       = {{Schlangenotto, Darius and Schnedler, Wendelin and Vadovic, Radovan}},
  journal      = {{Games}},
  number       = {{3}},
  pages        = {{1----24}},
  title        = {{{Against All Odds: Tentative Steps Toward Efficient Information Sharing in Groups}}},
  volume       = {{11}},
  year         = {{2020}},
}

@article{18236,
  author       = {{Schnedler, Wendelin and Stephan, Nina Lucia}},
  issn         = {{1439-2917}},
  journal      = {{Schmalenbach Business Review}},
  pages        = {{347--364}},
  title        = {{{Revisiting a Remedy Against Chains of Unkindness}}},
  doi          = {{10.1007/s41464-020-00090-2}},
  year         = {{2020}},
}

@inproceedings{35660,
  abstract     = {{Effective customer loyalty programs are essential for every company. Small and medium sized brick-and- mortar stores, such as bakeries, butcher and flower shops, often share a common overarching loyalty program, organized by a third-party provider. Furthermore, these small shops have limited resources and often cannot afford complex BI tools. Out of these reasons we investigated how traditional brick-and- mortar stores can benefit from an expansion of service functionalities of a loyalty card provider. To answer this question, we cooperated with a cross-industry customer loyalty program in a polycentric region. The loyalty program was transformed from simple card-based solution to a mobile app for customers and a web- application for shop owners. The new solution offers additional BI services for performing data analytics and strengthening the position of brick-and-mortar stores. Participating shops can work together in order to increase sales and align marketing campaigns. Therefore, shopping data from 12 years, 55 shops, and 19,000 customers was analyzed.}},
  author       = {{Kucklick, Jan-Peter and Kamm, Michael Reiner and Schneider, Johannes and vom Brocke, Jan}},
  booktitle    = {{Proceedings of the 53rd Hawaii International Conference on System Sciences}},
  keywords     = {{brick-and-mortar stores, business intelligence, case study, loyalty program}},
  title        = {{{Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores}}},
  year         = {{2020}},
}

@article{35662,
  abstract     = {{While the analysis and usage of data are increasing in importance, the application of sophisticated BI solutions in small stores is limited by available technical capabilities and financial resources. This study investigates how brick-and-mortar stores can benefit from an expansion of service functionalities of a cross-industry loyalty card provider. Digitalizing the loyalty program created new opportunities, while the analysis of shopping data of 13 years, 19,000 customers, and 55 shops empowered data-based decision support.}},
  author       = {{Kamm, Michael Reiner and Kucklick, Jan-Peter and Schneider, Johannes and vom Brocke, Jan}},
  issn         = {{1058-0530}},
  journal      = {{Information Systems Management}},
  keywords     = {{Customer loyalty, case study, brick-and-mortar stores, business intelligence, loyalty programs}},
  number       = {{4}},
  pages        = {{270--286}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1}}},
  doi          = {{10.1080/10580530.2020.1855486}},
  volume       = {{38}},
  year         = {{2020}},
}

@techreport{35089,
  author       = {{Ebert, Michael and Kadane, Joseph (Jay) B. and Simons, Dirk and Stecher, Jack Douglas}},
  issn         = {{1556-5068}},
  title        = {{{Information Design in Coordination Games with Risk Dominant Equilibrium Selection}}},
  doi          = {{10.2139/ssrn.3564451}},
  year         = {{2020}},
}

@article{47919,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We examine whether and how political embeddedness influences financial reporting quality in China by investigating how government ownership and political connections affect Chinese listed firms’ choices of earnings management strategies. The results show that state‐owned enterprises (SOEs), and in particular, central SOEs, are more likely to substitute accrual‐based earnings management strategies with costlier but less detectable real earnings management strategies than non‐SOEs. The results also indicate that politically connected enterprises (PCEs) are more likely to employ less detectable real earnings management strategies than non‐PCEs, so much so that PCEs’ total earnings management level is higher than that of non‐PCEs.</jats:p>}},
  author       = {{Wang, Zhi and Braam, Geert and Reimsbach, Daniel and Wang, Jiaxin}},
  issn         = {{0810-5391}},
  journal      = {{Accounting &amp; Finance}},
  keywords     = {{Economics, Econometrics and Finance (miscellaneous), Finance, Accounting}},
  number       = {{5}},
  pages        = {{4723--4755}},
  publisher    = {{Wiley}},
  title        = {{{Political embeddedness and firms’ choices of earnings management strategies in China}}},
  doi          = {{10.1111/acfi.12690}},
  volume       = {{60}},
  year         = {{2020}},
}

@article{47918,
  author       = {{Hahn, Rüdiger and Reimsbach, Daniel}},
  issn         = {{2168-1007}},
  journal      = {{Academy of Management Discoveries}},
  number       = {{1}},
  pages        = {{155--157}},
  publisher    = {{Academy of Management}},
  title        = {{{Bringing Signaling Theory to Intermediated Voluntary Disclosure. Commentary on “Detecting False Accounts in Intermediated Voluntary Disclosure” by Patrick Callery and Jessica Perkins}}},
  doi          = {{10.5465/amd.2020.0015}},
  volume       = {{7}},
  year         = {{2020}},
}

@article{49094,
  author       = {{Krebs, Benjamin and Kabst, Rüdiger}},
  journal      = {{PERSONALquartely}},
  title        = {{{Corporate Entrepreneurship: Die Rolle und Bedeutung des Humankapitals}}},
  volume       = {{4}},
  year         = {{2020}},
}

@inbook{49102,
  author       = {{Megow, N. and Kabst, Rüdiger}},
  booktitle    = {{Perspektiven des Entrepreneurships: Unternehmerische Konzepte zwischen Theorie und Praxis}},
  editor       = {{Hölzle, K. and Tiberius, V. and Surrey, H.}},
  pages        = {{251--262}},
  title        = {{{Corporate Entrepreneurship durch die Allokation von Ressourcen}}},
  year         = {{2020}},
}

@inbook{42780,
  author       = {{Schneider, Martin}},
  booktitle    = {{Erzähltes Geld Finanzmärkte und Krisen in Literatur, Film und Medien}},
  editor       = {{Becker, Karsten}},
  isbn         = {{978-3-8260-6930-7}},
  pages        = {{243--254}},
  title        = {{{Gier und andere Tugenden: Widersprüchliche Bewertungen der Marktwirtschaft in Oliver Stones Wall Street}}},
  year         = {{2020}},
}

@inbook{18905,
  author       = {{Schneider, Martin}},
  booktitle    = {{Urbane Kulturen und Räume Intermedial}},
  editor       = {{Öhlschläger, Claudia}},
  isbn         = {{987-3-8376-4884-3}},
  pages        = {{209--221}},
  title        = {{{Urbane Arbeitsparadiese gestern und heute}}},
  year         = {{2020}},
}

@inbook{20295,
  author       = {{Schneider, Martin and Eisele, Simon}},
  booktitle    = {{Handbuch Gestaltung digitaler und vernetzter Arbeitswelten}},
  pages        = {{303--322}},
  publisher    = {{Springer}},
  title        = {{{Personalwirtschaft}}},
  year         = {{2020}},
}

@inproceedings{24330,
  author       = {{Knorr, Karin and Auer, Thorsten Fabian and Thommes, Kirsten}},
  booktitle    = {{Academy of Management Proceedings}},
  issn         = {{2151-6561}},
  number       = {{1}},
  title        = {{{Is Corruption Imprinted? A Study on Preconditions of Corruption in Post-Communist Countries}}},
  doi          = {{10.5465/AMBPP.2020.16489.abstract}},
  volume       = {{2020}},
  year         = {{2020}},
}

@book{35966,
  author       = {{Sloane, Peter F. E. and Daniel, Desiree and Meier, Karin and Schwabl, Franziska and Volgmann, Simone}},
  publisher    = {{Eusl-Verlagsgesellschaft mbH}},
  title        = {{{Selbstreguliertes Lernen - Können die das überhaupt? Gestaltung von Lernprozessen in berufsvorbereitenden Bildungsgängen.}}},
  year         = {{2020}},
}

@article{21369,
  abstract     = {{Successful design of human-in-the-loop control sys- tems requires appropriate models for human decision makers. Whilst most paradigms adopted in the control systems literature hide the (limited) decision capability of humans, in behavioral economics individual decision making and optimization processes are well-known to be affected by perceptual and behavioral biases. Our goal is to enrich control engineering with some insights from behavioral economics research through exposing such biases in control-relevant settings.
This paper addresses the following two key questions:
1) How do behavioral biases affect decision making?
2) What is the role played by feedback in human-in-the-loop control systems?
Our experimental framework shows how individuals behave when faced with the task of piloting an UAV under risk and uncertainty, paralleling a real-world decision-making scenario. Our findings support the notion of humans in Cyberphysical Systems underlying behavioral biases regardless of – or even because of – receiving immediate outcome feedback. We observe substantial shares of drone controllers to act inefficiently through either flying excessively (overconfident) or overly conservatively (underconfident). Furthermore, we observe human-controllers to self-servingly misinterpret random sequences through being subject to a “hot hand fallacy”. We advise control engineers to mind the human component in order not to compromise technological accomplishments through human issues.}},
  author       = {{Protte, Marius and Fahr, René and Quevedo, Daniel E.}},
  journal      = {{IEEE Control Systems Magazine}},
  number       = {{6}},
  pages        = {{57 -- 76}},
  publisher    = {{IEEE}},
  title        = {{{Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy}}},
  doi          = {{10.1109/MCS.2020.3019723}},
  volume       = {{40}},
  year         = {{2020}},
}