About Aarhus University
Steen Nielsen
Associate professor emeritus, Lektor Emeritus
Department of Economics and Business Economics
Fuglesangs Allé 4
building 2621, 128a
8210 Aarhus V
Denmark
Teaching interests
Management Accounting
Business Analytics for Management Accounting
Simulation
Research interests
Performance Management and Balanced Scorecard
Simulation and System Dynamics and Management Accounting
Structural Equation Modeling for Management Accounting
Supply-Chain-Costing
Performance and Logistics
Selected publications
Business Analytics and Performance Management: A Small Data Example Combining TD-ABC and BSC for Simulation and Optimization. Working Paper 2017.
Discussing Feedback System Thinking in Relation to Scenario Evaluation in a Balanced Scorecard Setup. / Nielsen, Steen; Nielsen, Erland Hejn. Journal: Production Planning & Control 2011, 1–16, iFirst Online.
New and Interesting Perspectives for the Management Accountant in a World of Data. Working paper 2017.
The knowledge, attitude, priority of usage, and benefits associated with management accounting practices : a survey of Danish companies. / Nielsen, Steen; Melander, Preben ; Jakobsen, Morten. In: International Journal of Accounting, Auditing and Performance Evaluation, Vol. 5, No. 3, 2009, p. 252-284.
Implementering og anvendelse af nyere ledelsesteknologier i den kommunale sektor. / Nielsen, Steen; Nielsen, Christian. In: Ledelse og Erhvervsøkonomi, Vol. 74, No. 3, 2009, p. 37-53.
System Dynamics Modelling for a Balanced Scorecard: Computing the Influence of Skills, Customers, and Work in Process on the Return on Capital Employed. / Nielsen, Steen; Nielsen, Erland Hejn. In: Management Research News, Vol. 31, No. 3, April, 2008, p. 169-188.
Profile
Member of Section: Econometrics and Business Analytics
Research Secretary: Solveig Nygaard Sørensen
PhD, Stockholm School of Economics, 1996
MSc, Aarhus School of Business, 1984
Steen Nielsen is Associate Professor at the Department of Economics and Business. He received his PhD in Management Accounting Research from Stockholm School of Economics, 1996. He obtained his M.Sc. (Cand.Merc.) from Aarhus School of Business (Aarhus University), 1984. His primary research interests are in management accounting, including activity-based costing, balanced scorecard, and the integration between management accounting and supply-chain-management. Steen Nielsen has taught a variety of accounting courses on e.g. modern management practices, balanced scorecard, profitability models, and classic management accounting theory. His research interests are centered on using analytical techniques and software, such as simulation, optimization, and system dynamics within management accounting topics (e.g. balanced scorecard). Steen Nielsen is also an experienced lecturer at the executive education level and served as academic programme coordinator for MSc in accounting and controlling from 1996 to 2008.
- Published
Management accounting and the concepts of exploratory data analysis and unsupervised machine learning: a literature study and future directions
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Management accounting and the idea of machine learning
Research output: Working paper/Preprint › Working paper › Research
Preparing students for careers using business analytics and data-driven decision making
Research output: Working paper/Preprint › Working paper › Research
International Journal of Productivity and Performance Management (Journal)
Activity: Publication peer-review and editorial work types › Peer review of manuscripts › Research
International Journal of Manufacturing Technology and Management (Journal)
Activity: Publication peer-review and editorial work types › Peer review of manuscripts › Research
Asian Journal of Economics, Business and Accounting (Journal)
Activity: Publication peer-review and editorial work types › Peer review of manuscripts › Research
Emerald Literati Award for 2019
Prize: Prizes, scholarships, distinctions
ID: 32282845