Profile
Dr. Dimitrios Tsekouras is an Associate Professor of Transformative Education and the Academic Director of MSc Business Information Management at Rotterdam School of Management (RSM), Erasmus University. With experience across the educational ranks (bachelor, MSc, Exec. Education, industry workshops), Dimitrios has developed and is currently teaching courses in the area of Digital Commerce and Digital Business, Research Methods, and Negotiations. Dimitrios' research interests focus on how information can influence online decision-making and consumer behavior. Dimitrios is an expert in online personalization, recommendation systems, (generative) AI, business analytics, and reputation systems. In his research portfolio, Dimitrios has an inter-disciplinary approach, combining (large-scale) field experiments in close collaboration with firms, observational data, lab experiments and online surveys. His work has appeared in the Journal of the Academy of Marketing Science, International Journal of Electronic Commerce, Information & Management, Journal of the Association for Information Systems, as well as in multiple international conferences (International Conference of Information Systems, European Conference of Information Systems, INFORMS, Conference on Information Systems and Technology, Marketing Science, ACR, Statistical challenges in E-Commerce Research, Academy of Management). Dimitrios obtained his Ph.D. and MSc in Marketing at the Erasmus School of Economics, Erasmus University. Prior to joining academia, Dimitrios worked in the marketing & sales departments in the retail sector (FMCG) and movie & entertainment industry.
Publications
Article (5)
Academic (5)
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Tsekouras, D., Gutt, D., & Heimbach, I. (2024). The Robo Bias in Conversational Reviews: How the Solicitation Medium Anthropomorphism affects Product Rating Valence and Review Helpfulness. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-024-01027-8
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Tsekouras, D., Li, T., & Frick, T. (2024). Don’t Take it Personally: An Empirical Investigation of Consumer Responses to Explicit Targeting. Journal of the Association for Information Systems, 25(3), 687-720. Article 4. https://doi.org/10.17705/1jais.00848
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Tsekouras, D., Li, T., & Benbasat, I. (2022). Scratch my back and I'll scratch yours: The impact of user effort and recommendation agent effort on perceived recommendation agent quality. Information and Management, 59(1), Article 103571. https://doi.org/10.1016/j.im.2021.103571
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Tsekouras, D., Dellaert, B., Donkers, B., & Haubl, G. (2019). Product Set Granularity and Consumer Response to Recommendations. Journal of the Academy of Marketing Science, 48(2), 186-202. https://doi.org/10.1007/s11747-019-00682-6
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Tsekouras, D. (2017). The Effect of Rating Scale Design on Extreme Response Tendency in Consumer Product Ratings. International Journal of Electronic Commerce, 21(2), 270-296. https://doi.org/10.1080/10864415.2016.1234290
Conference proceeding (9)
Academic (9)
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Li, T., Tsekouras, D., & Cheng, Z. (2019). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Annual Meeting of the Academy of Management
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Li, T., Tsekouras, D., & Cheng, Z. (2018). Free Shipping Promotions: Leveraging Scarcity and Popularity Information. In Proceedings of the International Conference on Information Systems
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Tsekouras, D., Frick, T., & Li, T. (2016). Don’t Take It Personally: The Effect of Explicit Targeting in Advertising Personalization. In - (pp. 10). Association for Information Systems (AIS). http://hdl.handle.net/1765/100010
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Li, T., & Tsekouras, D. (2015). Effort Reciprocity on Perceived Recommendation Agent Quality: An Experimental Study. In Proceedings of the International Conference on Information Systems
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Tsekouras, D., & Li, T. (2015). Effort Reciprocity on Perceived Recommendation Agent Quality: An Experimental Study. In Proceedings of the European Conference on Information Systems
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Li, T., & Tsekouras, D. (2015). Free Shipping 3.0: Leveraging Scarcity and Popularity Information – A Randomized Field Experiment. In Conference on Information Systems and Technology
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Frick, T., Tsekouras, D., & Li, T. (2014). The Times They Are A-Changin:Examining the Impact of Social Media on Music Album Performance. In -
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Frick, T., & Tsekouras, D. (2013). The Times They Are A-Changin: Examining the Impact of Social Media on Music Album Sales and Piracy. In -
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Li, T., & Tsekouras, D. (2012). More Effort to Personalize? Examining Perceived Effort as a Signal for Quality. In Proceedings of the International Conference on Electronic Commerce
Doctoral Thesis (1)
Internal (1)
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Tsekouras, D. (2012). No pain no gain: the beneficial role of consumer effort in decision-making. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).
Preprint (1)
Academic (1)
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Tsekouras, D., Li, T., & Frick, T. (2023). Don’t Take it Personally: An Empirical Investigation of Consumer Responses to Explicit Targeting. Journal of the Association for Information Systems.
Working paper (3)
Academic (3)
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Tsekouras, D., Li, T., & Gong, J. (2022). Are You Still Interested in This Item? Field Evidence on the Effectiveness of Onsite Retargeting (under review). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3907869
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Tsekouras, D., Gutt, D., & Heimbach, I. (2021). The Rise of Robo-Reviews – The Effects of Chatbot-mediated Review Elicitation on Online Reviews. https://doi.org/10.2139/ssrn.3754200
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Li, T., Tsekouras, D., & Cheng, Z. (2021). Free Shipping Promotions: Leveraging Scarcity and Popularity Information (under review).
Courses
Principles of Negotiation
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: B3MIN1021
- Level: Bachelor, Bachelor 3, Bachelor 3
Information Strategy
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM01BIM
- Level: ERIM, Exchange, IM/CEMS, Master
Designing Business Applications
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM02BIM
- Level: ERIM, Exchange, IM/CEMS, Master
Business Architecture and Transformation
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM03BIM
- Level: ERIM, Exchange, IM/CEMS, Master
Big Data Management and Analytics
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BM04BIM
- Level: ERIM, Exchange, IM/CEMS, Master
BIM Research Methods
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM06BIM
- Level: Master
BIM Honours Class
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2015/2016
- Code: BMHONBIM
- Level: Master
BIM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMRM1BIM
- Level: Master
MSc Business Information Management
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMTTBIM
Past courses
AI/Computer Interaction
- Study year: 2023/2024
- Code: BMME202
- Level: Master, Master, Master, Master
AI Technologies for Circular Business
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMME154
- Level: Master, Master, Master
Big Data and Business Analytics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME012
- Level: Master, Master, Master
BIM Company-based Research Project
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BMBPBIM
- Level: Master, Master, Master, Master
Data Privacy and Cybersecurity
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BMME177
- Level: Master, Master, Master, Master
Digital Business
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: B3102
- Level: Bachelor 3, Bachelor 3, Bachelor 3
Digital Energy Transition
- Study year: 2023/2024
- Code: BMME201
- Level: Master, Master, Master, Master
Digital Technologies & Social Change
- Study year: 2023/2024, 2022/2023, 2020/2021, 2019/2020
- Code: BMME149
- Level: Master, Master, Master, Master
Innovation in the Digital Age
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME119
- Level: Master, Master, Master, Master
Introduction to Data Science with Python
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME128
- Level: Master, Master, Master, Master
Introduction to Deep Learning
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BMME139
- Level: Master, Master, Master, Master
Navigating the Future of Work
- Study year: 2023/2024
- Code: BMME203
- Level: Master, Master, Master, Master
Network Data Analytics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMME014
- Level: Master, Master, Master, Master
Programming for managers
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMME008
- Level: Master, Master, Master
Strategy and Economics of Platforms
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: BMME131
- Level: Master, Master, Master, Master
Web Mining and Analytics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME140
- Level: Master, Master, Master, Master
Digital Decision Making
- Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME138
- Level: Master, Master, Master, Master
Human-Centered Process Development
- Study year: 2022/2023, 2021/2022, 2020/2021
- Code: BMME155
- Level: Master, Master, Master
Introduction to Deep Learning
- Study year: 2022/2023
- Code: BMME139-BAM
- Level: Master, Master, Master, Master
Web Mining and Analytics
- Study year: 2022/2023
- Code: BMME140-BAM
- Level: Master, Master, Master, Master
Business Information Management
- Study year: 2020/2021
- Code: BT1213
- Level: Bachelor 1, Bachelor 3, Pre-master
Customer-centric Digital Commerce
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMME009
- ECTS: 6 Level: Master, Master, Master, Master
Principles of negotiation
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BKBMIN021
- Level: Bachelor, Bachelor 3, Bachelor 3
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
BIM Research Methods II - Old style
- Study year: 2019/2020, 2018/2019
- Code: BMRMBIM
- ECTS: 4
Business Information Management
- Study year: 2019/2020
- Code: BT1113
- Level: Bachelor 1, Bachelor 3, Pre-master
Next Generation Business Applications
- Study year: 2018/2019
- Code: BMME016
- ECTS: 6 Level: Master
Featured in the media
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The robo bias in conversational reviews: How the solicitation medium anthropomorphism affects product rating valence and review helpfulness
Advantages, drawbacks, and potential ethical concerns of anthropomorphic technology in customer feedback solicitation. Moderate levels of anthropomorphism lead to increased interaction enjoyment, and high levels increase social…
Thursday, 6 June 2024 -
The robo bias in conversational reviews
How the solicitation medium anthropomorphism affects product rating valence and review helpfulness. Advantages, drawbacks, and potential ethical concerns of anthropomorphic technology in customer feedback solicitation. Moderate…
Thursday, 6 June 2024 -
From Milan To London: Global Institutions Embrace Tech For Future-Ready Education
RSM senior lecturer Dimitrios Tsekouras is quoted in this article about international business schools and universities adopting new technologies. He isadvocating for the use of ChatGPT for the students of the Bachelor in Digital…
Monday, 26 February 2024
Featured on RSM Discovery
Discover how the use of chatbots for collecting online reviews leads to higher ratings but less detailed feedback. Learn why policymakers are considering regulations to prevent bias in online reviews.
