@article{53254,
  author       = {{Tavana, Madjid and Shaabani, Akram and Raeesi Vanani, Iman and Kumar Gangadhari, Rajan}},
  issn         = {{2227-9717}},
  journal      = {{Processes}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  title        = {{{A Review of Digital Transformation on Supply Chain Process Management Using Text Mining}}},
  doi          = {{10.3390/pr10050842}},
  volume       = {{10}},
  year         = {{2022}},
}

@article{29317,
  abstract     = {{In this paper new semiparametric GARCH models with long memory are in- troduced. The estimation of the nonparametric scale function is carried out by an adapted version of the SEMIFAR algorithm (Beran et al., 2002). Recurring on the revised recommendations by the Basel Committee to measure market risk in the banks' trading books (Basel Committee on Banking Supervision, 2013), the semi- parametric GARCH models are applied to obtain rolling one-step ahead forecasts for the Value at Risk (VaR) and Expected Shortfall (ES) for market risk assets. In addition, standard regulatory traffic light tests (Basel Committee on Banking Supervision, 1996) and a newly introduced traffic light test for the ES are carried out for all models. The practical relevance of our proposal is demonstrated by a comparative study. Our results indicate that semiparametric long memory GARCH models are an attractive alternative to their conventional, parametric counterparts.}},
  author       = {{Letmathe, Sebastian and Feng, Yuanhua and Uhde, André}},
  journal      = {{Journal of Risk}},
  keywords     = {{Semiparametric, long memory, GARCH models, forecasting, Value at Risk, Expected Shortfall, traffic light test, Basel Committee on Banking Supervision}},
  title        = {{{Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall}}},
  doi          = {{10.21314/JOR.2022.044}},
  year         = {{2022}},
}

@article{35741,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Business process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic.</jats:p>}},
  author       = {{Röglinger, Maximilian and Plattfaut, Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen, Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma, Stefanie and Rosemann, Michael and Santoro, Flavia Maria and Trkman, Peter}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  keywords     = {{Information Systems, Business process management, Exogenous shocks, Challenges, Opportunities}},
  number       = {{5}},
  pages        = {{669--687}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Exogenous Shocks and Business Process Management}}},
  doi          = {{10.1007/s12599-021-00740-w}},
  volume       = {{64}},
  year         = {{2022}},
}

@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{35732,
  abstract     = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Platform, Text mining, Machine learning, Data communications, Interpretive research, Systems design and implementation}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{53830,
  author       = {{Bartlitz, David}},
  journal      = {{Neue Zeitschrift für Gesellschaftsrecht (NZG)}},
  number       = {{35}},
  pages        = {{1669--1678}},
  title        = {{{Die Kommanditistenhaftung in der GmbH & Co. KG vor Registereintragung - Eine Untersuchung auf der Grundlage Digitaler Rechtstatsachenforschung}}},
  year         = {{2022}},
}

@article{53829,
  author       = {{Bartlitz, David and Bohnert, Alexander}},
  journal      = {{Zeitschrift für Wirtschaftsrecht (ZIP)}},
  number       = {{25}},
  pages        = {{1244--1251}},
  title        = {{{Die Gesellschafterstruktur der GmbH & Co. KG aus der Perspektive der Digitalen Rechtstatsachenforschung}}},
  year         = {{2022}},
}

@article{53839,
  author       = {{Bartlitz, David}},
  journal      = {{Neue Juristische Wochenschrift (NJW)}},
  number       = {{28}},
  pages        = {{1981--1986}},
  title        = {{{Die Begebung elektronischer Wertpapiere}}},
  year         = {{2022}},
}

@article{54205,
  author       = {{Bartlitz, David}},
  journal      = {{Entscheidungen zum Wirtschaftsrecht (EWiR)}},
  number       = {{19}},
  pages        = {{577--579}},
  title        = {{{Leistungsverweigerungsrecht des Darlehensgebers aus §§ 358, 357 Abs. 4 Satz 1 BGB auch hinsichtlich vom Darlehensnehmer nach Widerruf erbrachter Leistungen. Anmerkung zu OLG Stuttgart, Urt. v. 22.03.2022 - 6 U 79/19}}},
  year         = {{2022}},
}

@article{54206,
  author       = {{Bartlitz, David}},
  journal      = {{Europäische Zeitschrift für Wirtschaftsrecht (EuZW)}},
  number       = {{19}},
  pages        = {{905--906}},
  title        = {{{Regulierung der Vergütungspraxis hochrangiger Mitarbeiter im Finanzdienstleistungssektor. Anmerkung zu EuGH, Urt. v. 01.08.2022 - C-352/20}}},
  year         = {{2022}},
}

@article{54211,
  author       = {{Bartlitz, David}},
  journal      = {{Juristische Schulung (JuS)}},
  number       = {{2}},
  pages        = {{131--137}},
  title        = {{{Start-up-Gründung mit Schwierigkeiten}}},
  year         = {{2022}},
}

@inbook{54232,
  author       = {{Bartlitz, David}},
  booktitle    = {{eWpG - Gesetz über elektronische Wertpapiere - mit weiterführenden Vorschriften - Kommentar}},
  editor       = {{Conreder, Christian and Meier, Johannes}},
  isbn         = {{978-3-503-20093-1}},
  pages        = {{610}},
  publisher    = {{Erich Schmidt}},
  title        = {{{§ 2 eWpG (Elektronisches Wertpapier)}}},
  year         = {{2022}},
}

@techreport{37131,
  abstract     = {{This paper introduces a novel database on the European corporate bond market to analyze the role of transparency regulation and recent developments in bond markets. We use data from the European Securities and Markets Authority (ESMA) to build a comprehensive database covering daily corporate bond listing information in Europe starting in 2018. We then analyze the different market segments of the European bond market along four key areas: (i) time and cross-sectional trends in bond listings; (ii) composition of firms on the market; (iii) firms’ financial reporting transparency; (iv) bond contract terms. Furthermore, we discuss the impact of recent economic events on these key areas.}},
  author       = {{Franke, Benedikt and Kosi, Urska and Stoczek, Pia}},
  keywords     = {{Transparency regulation, Corporate bond, European market}},
  title        = {{{Current developments in the European corporate bond market}}},
  year         = {{2022}},
}

@article{49458,
  author       = {{Nastjuk, I. and Trang, Simon Thanh-Nam and Papageorgiou, E.}},
  journal      = {{Electronic Markets}},
  pages        = {{1917--1924}},
  title        = {{{Smart cities and smart governance models for future cities}}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{49460,
  author       = {{Masuch, K. and Greve, M. and Trang, Simon Thanh-Nam}},
  journal      = {{Electronic Markets}},
  pages        = {{829--848}},
  title        = {{{What to do after a data breach? Examining apology and compensation as response strategies for health service providers}}},
  volume       = {{31}},
  year         = {{2022}},
}

@article{49459,
  author       = {{Masuch, K. and Greve, M. and Trang, Simon Thanh-Nam}},
  journal      = {{Computers & Security}},
  title        = {{{Apologize or Justify? Examining the Impact of Data Breach Response Actions on Stock Value of Affected Companies}}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{50024,
  author       = {{Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}},
  issn         = {{2073-4859}},
  journal      = {{The R Journal}},
  keywords     = {{Statistics, Probability and Uncertainty, Numerical Analysis, Statistics and Probability}},
  number       = {{1}},
  pages        = {{182--195}},
  publisher    = {{The R Foundation}},
  title        = {{{The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}}},
  doi          = {{10.32614/rj-2022-017}},
  volume       = {{14}},
  year         = {{2022}},
}

@article{30295,
  author       = {{Klingsieck, Katrin B. and John, Thomas and Kundisch, Dennis}},
  journal      = {{die hochschullehre}},
  number       = {{5}},
  pages        = {{61 -- 76}},
  title        = {{{Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination?}}},
  doi          = {{10.3278/HSL2205W}},
  volume       = {{8}},
  year         = {{2022}},
}

@inproceedings{50286,
  author       = {{Daniel-Söltenfuß, Desiree and Hagemeier, Daniel and Ludolph, Fabian}},
  location     = {{Universität Paderborn}},
  title        = {{{Educational Management on regional levels. Implications for vocational education}}},
  year         = {{2022}},
}

@inbook{51000,
  author       = {{Schlömer, Tobias and Kiepe, Karina and Thrun, Tim}},
  booktitle    = {{Intrapreneurship}},
  editor       = {{Kraus, Rafaela and Kreitenweis, Tanja and Jeraj, Brigita}},
  pages        = {{209–223}},
  publisher    = {{Springer Gabler}},
  title        = {{{Die Konstruktion von Geschäftsmodellen für nachhaltiges Wirtschaften: (k)eine exklusive Aufgabe des Managements?!}}},
  year         = {{2022}},
}