About Enno
His research currently focuses on the use of augmented reality in manufacturing, on quality inspections & improvement in pharmaceutical manufacturing, on model selection in predictive analytics and on human judgment in sales & operations planning processes. Siemsen has been published in leading outlets such as Management Science, Organization Science, Journal of Operations Management, Production & Operations Management, Strategic Management Journal and Manufacturing & Service Operations Management. His work has also been featured in the Harvard Business Review and the California Management Review. He is the author of ‘Demand Forecasting for Managers’, a recent book on forecasting and organizational decision making. He currently serves as a department editor for the Production and Operations Management Journal and the Decision Sciences Journal, and as an associate editor for the Journal of Operations Management and the Journal of Supply Chain Management.
Selected Accepted Journal Articles
Park, Y. & Lee, Y. & Siemsen, E. (2024). Two Heads are Better than One: Task Division and Decision Control in Inventory Planning Production and Operations Management
Kent, P. & Siemsen, E. & Shao, X. (2023). The Impact of Co-location on Production Knowledge Transfer in Collectivist and Individualist Cultures International Journal of Operations and Production Management
Selected Published Journal Articles
Petropoulos, F. & Grushka-Cockayne, Y. & Siemsen, E. & Spiliotis, E. (2024). Wielding Occam’s razor: Fast and frugal retail forecasting Journal of the Operational Research Society
Brau, R. & Aloysius, J. & Siemsen, E. (2023). Demand Planning for the Digital Supply Chain: How to Integrate Human Judgment and Predictive Analytics Journal of Operations Management
Kolassa, S. & Rostami-Tabar, B. & Siemsen, E. (2023). Demand Forecasting for Executives and Professionals
Arvan, M. & Fahimnia, B. & Tan, T. & Siemsen, E. (2023). A Hidden Anchor: The Influence of Service Levels on Demand Forecasts Journal of Operations Management
Siemsen, E. & Petropoulos, F. (2023). Forecast Selection and Representativeness Management Science
Wuttke, D. & Uphadyay, A. & Siemsen, E. & Wuttke-Linneman, A. (2022). Seeing the Bigger Picture? Ramping-Up Production with the Use of Augmented Reality Manufacturing & Service Operations Management
Dhanorkar, S. & Siemsen, E. (2021). How Nudges Lead to Improved Energy Efficiency in Manufacturing: Evidence from Archival Data and a Field Study Production and Operations Management
Zhao, H. & Xu, L. & Siemsen, E. (2021). Inventory Sharing and Demand-Side Underweighting Manufacturing & Service Operations Management
Fahimnia, B. & Mehrdokht, P. & Siemsen, E. & Bendoly, E. & Wang, C. (2019). Behavioral Operations and Supply Chain Management – A Review and Literature Mapping Decision Sciences
Arvan, M. & Fahimnia, B. & Reisi, M. & Siemsen, E. (2019). Integrating Human Judgement into Quantitative Forecasting Methods: A Review Omega
Zhang, Y. & Siemsen, E. (2019). A Meta-Analysis of Newsvendor Experiments: Revisiting the Pull-to-Center Asymmetry Production and Operations Management
Dhanokar, S. & Siemsen, E. & Linderman, K. (2018). Promoting Change from the Outside: Directing Managerial Attention in the Implementation of Environmental Improvements Management Science
Lee, Y. & Seo, Y. & Siemsen, E. (2018). Running Behavioral Operations Experiments using Amazon’s Mechanical Turk Production and Operations Management
Petropoulos, F. & Korentzes, N. & Nikolopoulos, K. & Siemsen, E. (2018). Judgmental Selection of Forecasting Models Journal of Operations Management
Kent, P. & Siemsen, E. (2018). Production Process Moves: Template Use and the Need to Adapt Production and Operations Management
Wuttke, D. & Donohue, K. & Siemsen, E. (2018). Initiating Supplier New Product Development Projects: a Behavioral Investigation Production and Operations Management
Lee, Y. & Siemsen, E. (2017). Task Decomposition and Newsvendor Decision Making Management Science
Ball, G. & Siemsen, E. & Shah, R. (2017). Do Plant Inspections Predict Future Quality? The Role of Investigator Experience Manufacturing & Service Operations Management
Ben-Ner, A. & Siemsen, E. (2017). Decentralization and Localization of Production: The Organizational and Economic Consequences of Additive Manufacturing California Management Review
Jones-Christensen, L. & Siemsen, E. & Branzei, O. & Viswanathan, M. (2017). Response pattern analysis: Assuring data integrity in extreme research settings Strategic Management Journal
Kor, Y. & Mahoney, J. & Siemsen, E. & Tan, D. (2016). Penrose’s The Theory of the Growth of the Firm: An Exemplar of Engaged Scholarship Production and Operations Management
Kremer, M. & Siemsen, E. & Thomas, D. (2016). The Sum and it’s Parts: Judgmental Hierarchical Forecasting Management Science
Gray, J. & Siemsen, E. & Vasudeva, G. (2015). Colocation Still Matters: Conformance Quality and the Interdependence of R&D and Manufacturing in the Pharmaceutical Industry Management Science
Seifert, M. & Eisingerich, A. & Hadida, A. & Siemsen, E. (2015). Effective Judgmental Forecasting in the Context of Fashion Products. Journal of Operations Management
Jones-Christensen, L. & Siemsen, E. & Balasubramanian, S. (2015). Consumer behavior change at the Base of the Pyramid: Bridging the gap between for-profit and social-responsibility strategies. Strategic Management Journal
Moritz, B. & Kremer, M. & Siemsen, E. (2014). Judgmental Forecasting: Cognitive Reflection and Decision Speed Production and Operations Management
Siemsen, E. & Schultz, K. & Siemsen, E. & Yeo, L. (2013). Behavioral operations: The state of the field Journal of Operations Management
Anand, G. & Gray, J. & Siemsen, E. (2012). Decay, Shock, and Renewal: Process Entropy and Quality Control in the Pharmaceutical Industry Organization Science
Siemsen, E. (2011). The usefulness of behavioral laboratory experiments Journal of Supply Chain Management
Kremer, M. & Moritz, B. & Siemsen, E. (2011). Demand Forecasting Behavior: System Neglect and Change Detection Management Science
Katok, E. & Siemsen, E. (2011). Why Genius Leads to Adversity: Experimental Evidence on the Reputational Effects of Task Difficulty Choices Management Science
Siemsen, E. & Roth, A. & Oliveira, P. (2009). Common Method Bias in Regression Models with Linear, Quadratic, and Interaction Effects. Organizational Research Methods
Siemsen, E. & Roth, A. & Balasubramanian, S. & Anand, G. (2009). The Influence of Psychological Safety and Confidence on Employee Knowledge Sharing Manufacturing & Service Operations Management
Donohue, K. & Siemsen, E. (2009). Behavioral operations: Applications in supply chain management Wiley Encyclopedia of Operations Research and Management Science
Siemsen, E. & Roth, A. & Balasubramanian, S. (2008). How Motivation, Opportunity and Ability Drive Knowledge Sharing: The Constraining Factor Model Journal of Operations Management
Siemsen, E. (2008). The Hidden Perils of Career Concerns in R&D Organizations Management Science
Siemsen, E. (2007). Incentives that Induce Task-Related Effort, Helping and Knowledge Sharing in Workgroups Management Science
Siemsen, E. & Bollen, K. (2007). LAD: An Alternative Estimator for Structural Equation Models Sociological Methods and Research
Working Papers
Arvan, M. & Fahimnia, B. & Siemsen, E. (2021). Guidance Effectiveness for Judgmental Demand Forecasting: A Laboratory Experiment
Undergraduate Courses
Project Management (OTM 365), Spring 2017.
Project Management (OTM 365), Fall 2017.
Project Management (OTM 365), Spring 2016.
Graduate Courses
Project Management (OTM 752), Fall 2019. Download Syllabus
During their careers, managers spend a significant amount of time either participating in or leading projects. While every project is unique, some concepts and tools in project management apply to a wide range of projects. The aim of this course is to equip students with these concepts and tools, and to develop them into successful project managers (and team members). With that aim in mind, the course will focus on broadly applicable concepts and methods and will cover both qualitative and quantitative aspects of project management. Key topics include Project Initiation, Scheduling, Resource Management, Monitoring, Valuation, Risk Management, Agile Project Management, Project Portfolio Management and Contracting. Enroll Info: None
Project Management (OTM 752), Fall 2019. Download Syllabus
During their careers, managers spend a significant amount of time either participating in or leading projects. While every project is unique, some concepts and tools in project management apply to a wide range of projects. The aim of this course is to equip students with these concepts and tools, and to develop them into successful project managers (and team members). With that aim in mind, the course will focus on broadly applicable concepts and methods and will cover both qualitative and quantitative aspects of project management. Key topics include Project Initiation, Scheduling, Resource Management, Monitoring, Valuation, Risk Management, Agile Project Management, Project Portfolio Management and Contracting. Enroll Info: None
Project Management (OTM 752), Fall 2019. Download Syllabus
During their careers, managers spend a significant amount of time either participating in or leading projects. While every project is unique, some concepts and tools in project management apply to a wide range of projects. The aim of this course is to equip students with these concepts and tools, and to develop them into successful project managers (and team members). With that aim in mind, the course will focus on broadly applicable concepts and methods and will cover both qualitative and quantitative aspects of project management. Key topics include Project Initiation, Scheduling, Resource Management, Monitoring, Valuation, Risk Management, Agile Project Management, Project Portfolio Management and Contracting. Enroll Info: None
Project Management (OTM 752), Fall 2018. Download Syllabus
Learning/Teaching Oriented Publications
Kolassa, S. & Siemsen, E. (2016). Demand Forecasting for Managers
Editorial and Reviewing Activities
Naval Research Logistics – Since January 2019
Associate Editor
Manufacturing & Service Operations Management – January 2019 – December 2021
Associate Editor
Decision Sciences Journal – Since April 2017
Editor
Supply Chain Management Journal – Since January 2017
Associate Editor
Production and Operations Management – January 2013 – June 2019
Editor
Production and Operations Management – January 2011 – December 2013
Editor
Journal of Operations Management – January 2011 – December 2013
Special Issue Editor
Decision Sciences Journal – January 2010 – April 2017
Associate Editor
Production and Operations Management – Since January 2010
Editor
Journal of Operations Management – Since January 2010
Associate Editor
Management Science – January 2009 – December 2010
Associate Editor
Production and Operations Management – January 2007 – December 2013
Editor
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