Team

• Research Professor for Information Management & AI-Based Decision Making
• Since 09/2015: Professor of Business Informatics & Controlling at TH Achaffenburg
• Postdoctoral qualification (Habilitation) at the University of Stuttgart and Venia Legendi (teaching authorization) in Business Administration
• Nomination: Bavarian Teaching Award 2018 as the Best University Lecturer for 2016/17
• Private Lecturer (Privatdozent) at the University of Stuttgart
   
• 2011–2015: Postdoctoral researcher (Habilitand) with Prof. Dr. Burkhard Pedell, Chair of Controlling, University of Stuttgart
• 2008–2011: Deputy Head of Controlling Department, German Air Force Office
• 2006–2007: Strategic Controller for Air Force Armament & Logistics
• 2004–2008: External Doctorate at Ruhr University Bochum under Prof. Dr. Justus Haucap
• 2004–2006: Controller in the Logistics & Material Management Division, German Air Force
• 2004: Awarded for being top of class in Economics
• 2000–2004: Studies in Economics at Helmut Schmidt University (HSU), Hamburg

• Behavioral Accounting, Economics & Decision Sciences
• Knowledge Management / Knowledge Sharing
• Innovation-, Information- und digital knowledge management
• Management Control Systems
• Creativity Research, Creativity Management
• Working Capital Management / Liquidity management
• Financial Prediction / Simulation
• Enterprise Social Media & Management of Virtual Organizations
• Regulatory Controlling & Regulatory Economics
• Investment Controlling & Public-Private Partnerships
• Internal Reporting / Reporting / Information Load
• Risk Management & Risk Controlling
• Controlling, Reporting und Efficient visualisation of information

• Rötzel P. & Smeets, M. (2024): The Moderating Role of Relative Performance Information in Reducing Algorithm Aversion In The Adoption Of AI-Based Decision Support Systems in Insolvency Prediction Tasks, ENEAR Conference (forthcoming)
• Rötzel P. & Smeets, M. (2024): The Role of AI-Trust in Reducing Algorithm Aversion in the Adoption of AI-based Decision Aid, EURO 2024 Copenhagen
• Rötzel, P. G. (2024): Künstliche Intelligenz (KI)–unser bester Freund? Wie Menschen auf KI-Entscheidungsempfehlungen reagieren. In Vertrauen in Künstliche Intelligenz: Eine multi-perspektivische Betrachtung (pp. 17-31). Wiesbaden: Springer Fachmedien Wiesbaden.
• Weber, M. M., Pedell, B., & Rötzel, P. G. (2024): Resilience-oriented management control systems: a systematic review of the relationships between organizational resilience and management control systems. Journal of Management Control, OnlineFirst, 1-58 (VHB Jourqual 4: B).
• Rötzel, P.G. (2024): The Role of Supplier-Induced Demand on the Occurrence of Information Overload in Managerial Reporting Environments, PLoS ONE (VHB Jourqual 4: B)
• Rötzel, P.G. & Smeets, M. (2024): The Moderating Role of Non-Monetary Gamification in Reducing Algorithm Aversion in the Adoption of AI-based Decision Support Systems, Proceedings of the European Conference on Information Systems (ECIS). (VHB Jourqual 4: A).
• Rötzel P. Bustorff, N. & Kokott, P. (2023):  Analysis of the Impact of Recommendations from Intelligent Expert Systems on Personal Trust and Decision-Making Performance, 4th Symposium on Big Data and Research Syntheses in Psychology.
• Weber, M., Pedell, P. & Rötzel, P. (2023): Resilience-Oriented Management Control Systems as a Translation Mechanism of Resilience Strategy into Managerial Action—A Systematic Review, 45^th Annual Congress of the European Accounting Association.
• Kokott, P., Weber, M. & Rötzel, P. (2023): Managerial Attention in Times of Crisis - A Decisive Factor for Organizational Resilience, 45^th Annual Congress of the European Accounting Association.
• Rötzel, P. (2023): Nachhaltige Unternehmenssteuerung, in: Remmer Sassen (Hrsg.): Nachhaltigkeitsmanagement kompakt, Frankfurt u.a.
• Rötzel, P., & Jöris, S. (2023). Trends im Nachhaltigkeitscontrolling-Empirische Ergebnisse aus der Green Controlling Studie 2022 des ICV. Controlling, Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 35 (6), 44-51. (VHB Jourqual 4: C)
• Rötzel, P.G. & Rötzel, L. (2023): “Tis Early Practice only Makes the Master”: Nature and Nurture in Economic Thinking During School Time – A Research Note on Economics Education
• Vogl, M., Rötzel, P. G., & Homes, S. (2022). Forecasting performance of wavelet neural networks and other neural network topologies: A comparative study based on financial market data sets. Machine Learning with Applications, 8, 100302 (VHB Jourqual 4: k.R. SJR: 1.64 (Q1), Impact Factor: 6.31)
• Rötzel P. & Fehrenbacher, D. (2022): Enterprise Social Media and Control System Design, in: Proceedings of 19th ACMAR - Annual Conference for Management Accounting Research.
• Vogl, M. & Rötzel, P. (2022): Chaoticity Versus Stochasticity in Financial Markets: Are Daily S&P 500 Return Dynamics Chaotic?, Communications in Nonlinear Science and Numerical Simulation (forthcoming) (VHB Jourqual 4: k.R. SJR: 1.159 (Q1), Impact Factor: 4.26)
• Weber, M. & Rötzel, P. (2021): Bridging organizational resilience and management control systems - a systematic review, 44th Annual Congress of the European Accounting Association (accepted, RF session).
• Laun, U., Hummel, K., & Rötzel, P. (2021): The interdisciplinary nature of sustainability accounting – a systematic literature review and a network citation study, 44th Annual Congress of the European Accounting Association (accepted, parallel session).
• Vogel, M & Rötzel, P. (2021): Chaoticity versus Stochasticity on financial markets: Are daily S&P500 return dynamics chaotic?, 41st International Symposium on Forecasting (accepted).
• Smeets, M., Ostendorf, R., & Rötzel, P. (2021): RPA for the Financial Industry Particular challenges and outstanding suitability combined, in: Christian Czarnecki & Peter Fettke (eds.): Robotic Process Automation, De Gruyter). DOI: https://doi.org/10.1515/9783110676693-014  
• Smeets, M., Rötzel, P., Ostendorf, R. (2021): Artificial Intelligence (AI) and its Opportunities for Decision Making: A Systematic Review with a Content and Bibliometric Analysis and a Comprehensive Conceptual Framework for Further Research, Die Unternehmung (forthcoming)
• Rötzel, P., Pedell, B., & Groninger D. (2020): Information load in escalation situations: combustive agent or counteractive measure?, in: Journal of Business Economics 90, 757-786(2020). DOI: https://doi.org/10.1007/s11573-020-00987-x  
• Rötzel, P., Hummel, K., Stehle, A., & Pedell, B. (2019): Integrating environmental management control systems to translate environmental strategy into managerial performance, in: Journal of Accounting & Organizational Change, Vol. 15 No. 4, 626-653.
  DOI: 10.1108/JAOC-08-2018-0082
• Hummel, K. & Rötzel, P. (2019): Mandating the Sustainability Disclosure in Annual Reports – Evidence from the United Kingdom (2019). Schmalenbach Business Review 71(2).
  DOI: 10.1007/s41464-019-00069-8
• Rötzel, P.G. & Fehrenbacher, D.D. (2019): On the Role of Information Overload in Information Systems (IS) Success: Empirical Evidence from Decision Support Systems, International Conference on Information Systems (ICIS)
  Link: aisel.aisnet.org/icis2019/general_topics/general_topics/21/
• Rötzel, P. (2019):  Information Overload in the Information Age: A Review of the Literature from Business Administration, Business Psychology, and Related Disciplines With A Bibliometric Approach and Framework Development,
  in: Business Research, Vol. 12. Issue 2, 479-522.
  DOI: 10.1007/s40685-018-0069-z
• Fehrenbacher, D., Rötzel, P., & Pedell, B. (2018): The Influence of Culture and Framing on Investment Decision-Making: The Case of Vietnam and Germany,
  in: Cross Cultural & Strategic Management, Vol. 25, Issue 4, 763-780. 
  DOI: 10.1108/CCSM-10-2017-0139
• Rötzel, P. & Fehrenbacher, P. (2018): Enterprise Social Media and Control System Design,
  in:  Proceedings of the AAA 2018 Management Accounting Section Midyear Meeting.
  Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3020463
• Lohmann, C. & Rötzel, P. (2017): The Outcome of Renegotiations between Institutionalized Public–Private Partnerships and Their Public Clients,
  in: International Journal of Public Administration, forthcoming.
  DOI: 10.1080/01900692.2017.1298128
• Pedell, B., Rötzel, P. & Seemthamraju, R. (2017): Information load, escalation of commitment and culture - an experimental study,
  in: Proceedings of the 23rd Americas Conference on Information Systems (AMCIS)

Doctoral student & research assistant

• Dipl. Kfm., Business Administration, Helmut Schmidt University - University of the Federal Armed Forces Hamburg
• LL.M. (Com.), Business Law Studies, Saarland University
• Doctoral thesis in the field of Working Capital Management & Financial Sustainability

Recent Publictions

• since 2024: Research Assistant at Aschaffenburg UAS in the Behavioral Accounting and Finance Lab
• 2023 - 2024: Product Management by WIKA Alexander Wiegand SE & Co. KG
• 2021 - 2022: Research Assistant at Aschaffenburg UAS in the Behavioral Accounting and Finance Lab
• 2017 - 2020: Dual study program Industrial Engineering B. Eng at the DHBW Mosbach Campus Bad Mergentheim

Johanna Meder

Student Assistant

Current degree program: B.Sc. Medical Engineering and Data Science

Taim Alshara

Student Assistant

Current degree program: B. Eng. Mechatronics, Bachelor's thesis “Camera-based recognition of industrial trucks incl. processing of training data”.

Publications:
“Camera-based recognition of industrial trucks incl. processing of training data”.

Maximilian Beck and Lukas Schaab

Factors influencing the success of artificial intelligence (AI) in decision-making processes: Confidence of German private investors in investment recommendations generated by AI

The financial industry is undergoing radical change: FinTechs and AI are transforming banking advice and attracting young investors in particular, who are increasingly taking their finances into their own hands. But what influence does the source of information - human or AI - have on the trust of private investors? Our laboratory experiment investigates this in simulated advisory situations and provides new insights for theory and practice.

Chantal Weiß

Artificial intelligence and its possibilities for reducing information overload in (strategic) decision-making

In the digital world, decision-makers are often faced with a flood of information that can lead to information overload and have a negative impact on decision-making performance. Artificial intelligence offers solutions by filtering, analyzing and presenting data clearly. This thesis examines how AI systems can help to effectively reduce information overload in strategic decision-making.

Martin Wiedemann, Dipl.-Bw.

External doctoral student & lecturer

• 2009 - present: Partner Ernst & Young GmbH, EMEIA International Audit Leader
• 2005 - 2008: Partner International Audit, Ernst & Young CIS B.V. Moskau
• 2002 - 2003: Senior Manager International Audit, Ernst & Young Global, London
• 1999 - 2001: Consultant Ernst & Young AG Basel
• 1993 - 1998: Assistant to the Manager, IGS Aerosols GmbH, Wehr
• 1993 - 1996: Degree in Business Administration, Lörrach Cooperative State University - majoring in "Human Resources"; Diploma in Business Administration

• 1990 - 1993:  Business Administration, University of Hohenheim, intermediate diploma

  Research & Interests Development and establishment of a digital platform for the audit functions Digitalisation of the internal auditing

  Lecturer Project Lecture "Leadership"

   

Miriam Schatz, M.Sc.

Valentina Weiß, B.A.

Josefine Pernutz, B.Sc.

Simon Weigand, M.Sc.

Masterand & Projektmitarbeiter

• Bachelor's degree: Multimedia communication and documentation, TH Aschaffenburg
• Master's degree: M.Sc. Business Administration and Engineering, TH Aschaffenurg