Profile
Jan van Dalen is an associate professor at the Department of Technology and Operations Management, Rotterdam School of Management University, Erasmus University Rotterdam.
Publications
Abstract (1)
Academic (1)
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Kahlen, M., Ketter, W., & van Dalen, J. (2014). Agent-coordinated Virtual Power Plants of Electric Vehicles (Extended Abstract). 1547-1548.
Article (41)
Academic (34)
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Chen, F., van Dalen, J., & Wynstra, F. (2024). The grey side of procurement: Measuring the prevalence of questionable purchasing practices. Journal of Purchasing and Supply Management, 30(3), Article 100922. https://doi.org/10.1016/j.pursup.2024.100922
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Tufano, A., Zuidwijk, R., & Van Dalen, J. (2023). The development of data-driven logistic platforms for barge transportation network under incomplete data. Omega (United Kingdom), 114, Article 102746. https://doi.org/10.1016/j.omega.2022.102746
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Vanheusden, W., van Dalen, J., & Mingardo, G. (2022). Governance and business policy impact on carsharing diffusion in European cities. Transportation Research Part D: Transport and Environment, 108, Article 103312. https://doi.org/10.1016/j.trd.2022.103312
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Porumb, V. A., De Jong, A., Huijgen, C., Marra, T., & Van Dalen, J. (2021). The Effect of Auditor Style on Reporting Quality: Evidence from Germany. Abacus, 57(1), 1-26. https://doi.org/10.1111/abac.12220
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Paundra, J., Dalen, J., Rook, L., & Ketter, W. (2020). Ridesharing platform entry effects on ownership-based consumption in Indonesia. Journal of Cleaner Production, 265, Article 121535. https://doi.org/10.1016/j.jclepro.2020.121535
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Pennings, C., Dalen, J., & Rook, L. (2018). Coordinating judgmental forecasting: coping with intentional biases. Omega, 87, 46-56. https://doi.org/10.1016/j.omega.2018.08.007
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Kahlen, M., Ketter, W., & Dalen, J. (2018). Electric vehicle virtual power plant dilemma: grid balancing versus customer mobility. Production and Operations Management, 27(11), 2054-2070. https://doi.org/10.1111/poms.12876
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Li, T., Dalen, J., & Rees, PJ. (2018). More than just noise? Examining the Information Content of Stock Microblogs on Financial Markets. Journal of Information Technology, 33(1), 50-69. https://doi.org/10.1057/s41265-016-0034-2
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Paundra, J., van Dalen, J., Rook, L., & Ketter, W. (2017). Preferences for car sharing services: Effects of instrumental attributes and psychological ownership. Journal of Environmental Psychology, 53, 121-130. https://doi.org/10.1016/j.jenvp.2017.07.003
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Pennings, C., & van Dalen, J. (2017). Integrated Hierarchical Forecasting. European Journal of Operational Research, 263(2), 412-418. https://doi.org/10.1016/j.ejor.2017.04.047
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Pennings, C., van Dalen, J., & Laan, E. (2017). Exploiting Elapsed Time for Managing Intermittent Demand for Spare Parts. European Journal of Operational Research, 258(3), 958-969. https://doi.org/10.1016/j.ejor.2016.09.017
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Laan, E., van Dalen, J., Rohrmoser, M., & Simpson, R. (2016). Demand forecasting and order planning for humanitarian logistics: An empirical assessment. Journal of Operations Management, 45(july), 114-122. https://doi.org/10.1016/j.jom.2016.05.004
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Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2015). Adaptive Tactical Pricing in Multi-Agent Supply Chain Markets Using Economic Regimes. Decision Sciences, 46(4), 791-818. https://doi.org/10.1111/deci.12146
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Liu, L., Daniels, H., Oosterhout, M., & van Dalen, J. (2013). Business Intelligence for Improving Supply Chain Risk Management. International Journal in Advanced Logistics, 2(2), 18-29. https://doi.org/10.1080/2287108X.2013.11006084
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Veenstra, A., & van Dalen, J. (2011). Ship Speed and Fuel Consumption Quotation in Ocean Shipping Time Charter Contracts. Journal of Transport Economics and Policy, 45(1), 41-61.
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Ma, Y., van Zuylen, HJ., Chen, Y., & van Dalen, J. (2011). Allocating Departure Time Slots to Optimize Dynamic Network Capacity. Transportation Research Record, 2(2197), 98-106. https://doi.org/10.3141/2197-12
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Baaij, M., de Jong, A., & van Dalen, J. (2011). The dynamics of superior performance among the largest firms in the global oil industry, 1954-2008. Industrial and Corporate Change, 20(3), 789-824. https://doi.org/10.1093/icc/dtq065
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Ma, Y., van Dalen, J., de Blois, C., & Kroon, LG. (2011). Estimation of Dynamic Traffic Densities for Official Statistics. Transportation Research Record, (2256), 104-111. https://doi.org/10.3141/2256-13
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Blindenbach-Driessen, FP., van Dalen, J., & van den Ende, J. (2010). Subjective Performance Assessment of Innovation Projects. Journal of Product Innovation Management, 27(4), 572-592. https://doi.org/10.1111/j.1540-5885.2010.00736.x
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Chen, CM., & van Dalen, J. (2010). Measuring dynamic efficiency: theories and an integrated methodology. European Journal of Operational Research, 203(3), 749-760. https://doi.org/10.1016/j.ejor.2009.09.001
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Madsen, E., van Dalen, J., van Gorp, J., Borel Rinkes, I., & van Dalen, T. (2008). Strategies for optimizing pathologic staging of sentinel lymph nodes in breast cancer patients. Virchows Archiv. An International Journal of Pathology, 453(1), 17-24. https://doi.org/10.1007/s00428-008-0601-1
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van Dalen, J., & Bode, B. (2004). Quality-Corrected Price Indices: the Case of the Dutch New Passenger Car Market, 1990-1999. Applied Economics, 36(11), 1169-1197. https://doi.org/10.1080/0003684042000247361
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Baaij, M., Greeven, MJ., & van Dalen, J. (2004). Persistent Superior Economic Performance, Sustainable Competitive Advantage, and Schumpeterian Innovation: Leading Established Computer Firms, 1954-2000. European Management Journal, 22(5), 517-531. https://doi.org/10.1016/j.emj.2004.09.010
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van Dalen, J., & Bode, B. (2001). Kwaliteit- gecorrigeerde prijsontwikkelingen van nieuwe auto's in Nederland, 1990-1999. Kwantitatieve Methoden, 68, 5-40.
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Kaptein, M., & van Dalen, J. (2000). The empirical assessment of corporate ethics: a case study. Journal of Business Ethics, 24(2), 95-114. https://doi.org/10.1023/A:1006360210646
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van Frederikslust, RAI., Leermakers, WTJ., Soedito, SN., & van Dalen, J. (2000). Een empirische verklaring voor het herstructureren van Nederlandse ondernemingen. MAB, 74(4), 129-144.
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van Dalen, J., & Bode, B. (1999). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. Kwantitatieve Methoden, 61, 69-100.
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van Dalen, J., & Thurik, R. (1998). A model of pricing behavior: an econometric case study. Journal of Economic Behavior and Organization, 36(2), 177-195.
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van Dalen, J., & Thurik, R. (1995). Wholesale pricing in a small open economy. De Economist, 142(1), 55-76. https://doi.org/10.1007/BF01388355
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van Dalen, J. (1993). Primeur: empirisch onderzoek in de groothandel. Economenblad, 15(5), 4-4.
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van Dalen, J., & Thurik, R. (1991). Labour productivity and Profitability in the Dutch Flower Trade. Small Business Economics, 3(2), 131-144. https://doi.org/10.1007/BF00388447
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van Dalen, J., Koerts, J., & Thurik, R. (1990). Measurement of Labour Productivity in Wholesaling. International Journal of Research in Marketing, 7(1), 21-34.
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van Dalen, J. (1990). De betekenis van de groothandel voor Nederland. MAB, 63(3), 65-71.
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van Dalen, J., Koerts, J., & Thurik, R. (1989). Disequilibrium in Dutch Retailing: the impact of demand factors. Kwantitatieve Methoden, 30, 5-20.
Professional (7)
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Ketter, W., & van Dalen, J. (2020). Balancing Power Grids with Electric Vehicles. RSM Insight, 37(1), 22-24.
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Laan, E., & van Dalen, J. (2017). Improving the supply chain in humanitarian logistics. RSM Discovery - Management Knowledge, 30(2), 8-10. http://hdl.handle.net/1765/100179
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Fok, D., & van Dalen, J. (2015). Boosting business with data analysis. RSM Discovery - Management Knowledge, 21(1), 5-7. http://hdl.handle.net/1765/77991
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Burgers, S., Baalen, P., & van Dalen, J. (2008). Is Open Source Beter dan Gesloten? TIEM: tijdschrift voor informatie en management, 27(September/Oktober), 28-30.
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Bode, B., & van Dalen, J. (1999). De kwaliteit van de prijsindex van het beroepsgoederenvervoer over de weg (The quality of the price index for road haulage). Maandstatistiek van de Prijzen, 24, 4-9.
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van Dalen, J., & Thurik, R. (1992). Plaats en rol van de Nederlandse groothandel. Economisch-Statistische Berichten, 77(3843), 76-80.
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Thurik, R., & van Dalen, J. (1992). Plaats en rol van de Nederlandse groothandel. Bloembollenexport, 30(3), 3-7.
Book (5)
Academic (4)
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van Dalen, J. (2010). Werkboek Statistische Onderzoek met Spss for Windows. Lemma.
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van Dalen, J., & de Leede, E. (2009). Statistisch Onderzoek met Spss for Windows - tweede druk. Lemma.
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van Dalen, J., & de Leede, E. (2000). Statistisch Onderzoek met SPSS for Windows. Lemma.
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de Leede, E., & van Dalen, J. (1994). In & Uit: Handleiding SPSS/PC+. Uitgeverij Eburon.
Professional (1)
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de Leede, E., & van Dalen, J. (1996). In & Uit, Statistisch Onderzoek met SPSS for Windows. Uitgeverij Eburon.
Book editing (2)
Academic (2)
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van Dalen, J., Bode, B., & Klomp, L. (1996). Wat Wil Je Nu Eigenlijk Zeggen?! Liber amicorum. Ridderprint.
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Bode, B., van Dalen, J., & Klomp, L. (1996). 'Wat wil je nu eigenlijk zeggen?!'. Ridderprint B.V.
Chapter (15)
Academic (11)
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Rook, L., Paundra, J., van Dalen, J., & Ketter, W. (2023). Understanding the collaborative consumption of sustainable products and services: The impact of psychological ownership. In Research Handbook on Information Systems and the Environment (pp. 231-252). Edward Elgar Publishing.
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Rook, L., van Dalen, J., & Ketter, W. (2023). Nudging the Direction of Energy Tariff Selection: Lessons Learned from an Attribute Framing Experiment with Temporal Construal Levels. In J. Collins, W. Ketter, & A. Symeonodis (Eds.), Energy Sustainability through Retail Electricity Markets: The Power Trading Agent Competition (Power TAC) Experience (pp. 75-96). Springer Cham. https://doi.org/10.1007/978-3-031-39707-3_5
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Edelenbos, J., Hirzalla, F., van Zoonen, L., van Dalen, J., Bouma, G., Slob, A., & Woestenburg, A. (2017). Governing the Complexity of Smart Data Cities: Setting a Research Agenda. In M. P. Rodriguez Bolivar (Ed.), Smart Technologies for Smart Governments. Transparency, Efficiency and Organizational Issues (pp. 35-54). Springer-Verlag.
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Veenstra, A., & van Dalen, J. (2011). Fixtures-based Freight Rate Indices, and their Impact on Freight Rate Modelling in the Shipping Industry. In K. Cullinane (ed.) (Ed.), The International Handbook of Maritime Economics and Business (pp. 63-84)
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Baalen, P., van Dalen, J., Smit, R., & Veenhof, W. (2011). Utilitarian and Hedonic Motivations in the Acceptance of Web Casts in Higher Education. In C. Wankel, & J. S. Law (Eds.), Streaming Media in Higher Education
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van Dalen, J., van Nunen, JAEE., & Wilens, CM. (2005). The chip in crate: The Heineken Case. In S. D. P. Flapper, J. A. E. E. van Nunen, & L. N. van Wassenhove (Eds.), Managing Closed-Loop Supply Chains (pp. 43-55). Springer-Verlag.
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van Dalen, J. (1997). Oordeelsvorming en prijsindexcijfers: ethiek rijmt op statistiek. In F. van Engeldorp Gastelaars (Ed.), Liberik de Leede - Sparring Partners (pp. 64-86). Ridderprint.
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van Dalen, J., Bode, B., & Klomp, L. (1996). Inleiding. In L. Klomp, J. van Dalen, & B. Bode (Eds.), Wat Wil Je Nu Eigenlijk Zeggen ?! (pp. 1-9). Ridderprint.
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Bode, B., van Dalen, J., & Klomp, L. (1996). Inleiding. In B. Bode, J. van Dalen, & L. Klomp (Eds.), 'Wat wil je nu eigenlijk zeggen?!' (pp. 3-9). Ridderprint B.V..
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van Dalen, J. (1996). Kanttekeningen bij het meten van de prijs van groothandelsdiensten. In B. Bode, J. van Dalen, & L. Klomp (Eds.), 'Wat wil je nu eigenlijk zeggen?!' Opstellen over economie, statistiek en methodologie (pp. 165-179). Ridderprint B.V..
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van Dalen, J., & Eijkhout, MP. (1990). Een Margemodel voor de Groothandel. In CBS Select 6: statistische opstellen (pp. 75-90). Centraal Bureau voor de Statistiek.
Professional (4)
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van Dalen, J., & Bode, B. (2005). Estimation Biases in Quality-Adjusted Hedonic Price Indices. In Erwin Diewert, & Alice Nakamura (Eds.), Diewert papers Trafford Press.
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Hillebrand, ME., van Dalen, J., ten Veen, JH., & Besselink, BMBT. (2000). Risk Factors for Lipodystrophy. In Proceedings of the Fourth World Aids Congres
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Hillebrand, ME., ten Veen, JH., van Dalen, J., & Besselink, BMBT. (1999). The Smart Study I: Efficacy First Triple. In Proceedings of the Third World Aids Congres
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van Dalen, J. (1997). Oordeelsvorming en prijsindexcijfers: ethiek rijmt op statistiek. In P. van Engeldorp Gastelaars (Ed.), Liberik de Leede : Sparringpartners : Liber Amicorum voor Erik de Leede (pp. 64-87). ServicePost B.V..
Conference contribution (7)
Academic (6)
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Lu, Y., van Iterson, P., Gupta, A., Ketter, W., van Dalen, J., & van Heck, E. (2013). Buy It Now or Later: The Impact of Mari on Multi-unit Sequential Dutch Auctions. Winter Conference on Business Intelligence, Snowbird, USA.
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Lu, Y., Ketter, W., van Dalen, J., Gupta, A., & van Heck, E. (2012). A Stochastic Model of Winning Bids in the Dutch Flower Auctions. The 8th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2012), Montreal, Canada.
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Lu, Y., Ketter, W., van Dalen, J., Gupta, A., & van Heck, E. (2012). An Empirical Model of Multi-unit Sequential Dutch Auctions. Winter Conference on Business Intelligence, Snowbird, USA.
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van Dalen, J., & Bode, B. (2004). Estimation Biases in Quality-Adjusted Hedonic Price Indices. SSHRC, International Conference on Index Number Theory and Measurement of Prices and Productivity, Vancouver, Canada.
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van Dalen, J., & Bode, B. (2002). Quality-Corrected Price Indexes of New Passenger Cars in the Netherlands, 1990-1999. ZEW-conference on Price Indices and the Measurement of Quality Change, Mannheim.
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van Dalen, J., & Bode, B. (2001). Quality-Corrected Price Indexes of New Passenger Cars in the Netherlands, 1990-1999. Sixth Meeting of the International Working Group on Price Indices, Canberra (Australia).
Professional (1)
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van Frederikslust, RAI., Leermakers, WTJ., Soedito, SN., & van Dalen, J. (2003). European Financial Management Association.
Conference proceeding (24)
Academic (24)
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Ketter, W., van Dalen, J., Rook, L., & Paundra, J. (2018). Multiple ridesharing platforms entrance and their influence to new vehicle sales. In 14th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2018)
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Kahlen, M., Ketter, W., & van Dalen, J. (2014). Balancing with Electric Vehicles: A Profitable Business Model. In Proceedings of the 22nd European Conference on Information Systems (pp. 1-15). http://hdl.handle.net/1765/76119
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Kahlen, M., Ketter, W., & Van Dalen, J. (2014). Agent-coordinated virtual power plants of electric vehicles. In 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 (Vol. 2, pp. 1547-1548). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
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Ketter, W., Rook, L., Van Dalen, J., & Verhagen, E. (2013). The impact of framing on consumer selection of energy tariffs. In 2012 International Conference on Smart Grid Technology, Economics and Policies, SG-TEP 2012 Article 6642391 IEEE Computer Society. https://doi.org/10.1109/SG-TEP.2012.6642391
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Baalen, P., van Dalen, J., & Malsen, J. (2013). Relational Model Conflicts in Knowledge Sharing Behavior. In - http://hdl.handle.net/1765/40100
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Haghpanah, Y., Ketter, W., Desjardins, M., & van Dalen, J. (2013). A decision framework for broker selection in smart grids. In E. David, V. Robu, S. Stein, C. Kiekintveld, & O. Shehory (Eds.), Agent-Mediated Electronic Commerce: Designing Trading Strategies and Mechanisms for Electronic Markets - AMEC and TADA 2012, Revised Selected Papers (pp. 61-74). Springer Verlag/Kodansha Ltd. https://doi.org/10.1007/978-3-642-40864-9_5
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Kahlen, M., Valogianni, K., Ketter, W., & van Dalen, J. (2012). A Profitable Business Model for Electric Vehicle Fleet Owners. In International Conference on Smart Grid Technology, Economics and Policies (SG-TEP 2012) (pp. 1-5). IEEE Xplore. https://doi.org/10.1109/SG-TEP.2012.6642395
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Verhagen, E., Rook, L., van Dalen, J., & Ketter, W. (2012). Tariff selection. In Conference on Smart Grid – Technologies, Economics, and Policies (SG-TEP)
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Ketter, W., Haghpanah, Y., van Dalen, J., & Des Jardin, M. (2012). SmartRate: A Rating Interpretation Mechanism for Agents in Smart Grid Markets. In AAMAS Joint Workshop on Trading Agent Design and Analysis (TADA) and Agent- Mediated Electronic Commerce (AMEC)
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Haghpanah, Y., Ketter, W., Van Dalen, J., & DesJardins, M. (2012). SmartRate: A rating interpretation mechanism for agents in smart grid markets. In ICEC 2012 - 14th Annual International Conference on Electronic Commerce (pp. 87-90) https://doi.org/10.1145/2346536.2346552
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Lucchese, G., Ketter, W., Van Dalen, J., & Collins, J. (2011). Forecasting prices in dynamic heterogeneous product markets using multivariate prediction methods. In Proceedings of the 13th International Conference on Electronic Commerce, ICEC'11 Article 2378130 https://doi.org/10.1145/2378104.2378130
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Hogenboom, A., Hogenboom, F., Kaymak, U., Ketter, W., van Dalen, J., & Collins, J. (2010). Towards a Dynamic Model of Supply Chain Regimes for Complex Multi-Agent Markets. In 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010) (pp. 3219-3225). IEEE. https://doi.org/10.1109/ICSMC.2010.5642406
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Van Dalen, J., Ketter, W., Lucchese, G., & Collins, J. (2010). A kalman filter approach to analyze multivariate hedonics pricing model in dynamic supply chain markets. In ICEC 2010 - Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business (pp. 58-67) https://doi.org/10.1145/2389376.2389385
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Ma, Y., van Zuylen, H., Chen, Y., & van Dalen, J. (2010). Allocation Departure Time Slots to Optimize Dynamic Network Capacity. In the 89th Transporation Resarch Board
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Ma, Y., van Dalen, J., de Blois, C., & van Nunen, J. (2010). Estimation of Dynamice Traffic Density for Official Statisitcs based on Conbined Use of GPS and Loop Detector Data. In proceeding of the 12th World Conference on Trasnportation Resarch
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Ma, Y., Van Dalen, J., De Blois, C., & Van Nuen, J. (2010). Estimating dynamic transport population for official statistics based on GPS/GSM. In Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies (pp. 1076-1088). https://doi.org/10.1061/41123(383)101
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van Dalen, J., Ketter, W., Lucchese, G., & Collins, J. (2010). A Kalman Filter Approach to Analyze Multivariate Hedonic Pricing in Dynamic Supply-Chain Markets. In 12th International Conference on Electronic Commerce (ICEC-10) (pp. 57-66).
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Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Adaptive Pricing in Multi-Agent Supply Chain Markets using Economic Regimes. In Conference on Information Systems and Technology (CIST 2009)
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Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Product Pricing using Adaptive Real-Time Probability of Acceptance Estimations based on Economic Regimes. In Proceedings of the Eleventh International Conference on Electronic Commerce (ICEC 2009) (pp. 176-185). ACM. https://doi.org/10.1145/1593254.1593281
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Hogenboom, F., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Identifying and Predicting Economic Regimes in Supply Chains Using Sales and Procurement Information. In Proceedings of the Eleventh International Conference on Electronic Commerce (ICEC 2009) (pp. 19-28). https://doi.org/10.1145/1593254.1593258
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Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Product Pricing in TAC SCM using Adaptive Real-Time Probability of Acceptance Estimations based on Economic Regimes. In Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009) (pp. 15-24).
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Hogenboom, F., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2009). Economic Regime Identification and Prediction in TAC SCM Using Sales and Procurement Information. In E. H. Gerding (Ed.), Proceedings of the IJCAI'09 Workshop on Trading Agent Design and Analysis (TADA 2009) (pp. 25-34).
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Ma, Y., van Zuylen, H., Chen, Y., & van Dalen, J. (2009). Modeling and Analyzing Departure Time Slots Allocation to Optimize Dynamic Network Capacity-- the Case of A15-Motorway to Rotterdam Port. In Proceedings of the Fifth Advanced Forum on Transportation of China (pp. 214-222). the Instituion of Engineering and Technology.
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Veenstra, A., & van Dalen, J. (2007). Speed and fuel consumption quotations in ocean shipping time charter contracts. In J. witlox, & C. ruijgrok (Eds.), Vervoerslogistieke werkdagen 2007 (pp. 120-142). Nautilus academic books.
Doctoral Thesis (1)
Internal (1)
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van Dalen, J. (1992). Quantitative Studies in Wholesaling. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus Universiteit Rotterdam (EUR).
Paper (4)
Academic (4)
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Ypsilantis, P., Zuidwijk, R., & Van Dalen, J. (2014). Dwell times of containers to container terminals: The shipper's effect. Paper presented at 5th International Conference on Information Systems, Logistics and Supply Chain, ILS 2014, Breda, Netherlands.
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Lu, Y., Van Iterson, P., Gupta, A., Ketter, W., Van Dalen, J., & Van Heck, E. (2012). Buy it now or later: The impact of mari on multi-unit sequential dutch auctions. 249. Paper presented at 22nd Workshop on Information Technologies and Systems, WITS 2012, Orlando, FL, United States.
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Ketter, W., Van Dalen, J., Gupta, A., Van Heck, E., & Lu, Y. (2011). An empirical model for multi-unit sequential dutch auctions: The dutch flower auctions case. 73-78. Paper presented at 21st Workshop on Information Technologies and Systems, WITS 2011, Shanghai, China.
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Gupta, A., Ketter, W., Van Dalen, J., Van Heck, E., & Wasesa, M. (2010). Neural network based recommendation agent for determining the starting price in multi-unit sequential dutch auctions. Paper presented at 20th Annual Workshop on Information Technologies and Systems, WITS 2010, St. Louis, MO, United States.
Report (10)
Academic (9)
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Bode, B., & van Dalen, J. (2002). The Cost of Private Transportation in the Netherlands, 1992-1999. (ECB Working Paper Series 134 ed.) ECB. ECB Working Paper Series Vol. 134
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Kaptein, M., & van Dalen, J. (1999). The empirical assessment of corporate ethics. (ERASM Management Report Series 18-1999 ed.) [publisher unknown]. ERASM Management Report Series Vol. 18-1999
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Bode, B., & van Dalen, J. (1999). Audit Prijsindexcijfer van het Beroepsgoederenvervoer over de weg. Centraal Bureau voor de Statistiek (CBS).
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van Dalen, J. (1998). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. (Management Report Serie 61-1998 ed.) [publisher unknown]. Management Report Serie Vol. 61-1998
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van Dalen, J., & Bode, B. (1998). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. (ERASM management report series 61 ed.) [publisher unknown]. ERASM management report series Vol. 61
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van Dalen, J., & Thurik, R. (1996). A model of the price behaviour of Dutch flower exporters. (Tinbergen Institute 96-069 ed.) Tinbergen Institute. Tinbergen Institute Vol. 96-069
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van Dalen, J., & Thurik, R. (1995). A Model of the Price behaviour of Dutch Flower Exporters. (Management Report 218 ed.) Erasmus. Management Report Vol. 218
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van Dalen, J., & Thurik, R. (1993). Pricing Differences Between Wholesale Business Types in a Small Open Economy. (Management Report Series 162 ed.) Erasmus University Rotterdam (EUR).
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van Dalen, J., Koerts, J., de Jong, G., & Thurik, R. (1988). Groothandel: zijn rol in de geschiedenis, de huidige economie en de moderne theorie. (EIM Research Publicatie nr. 22 ed.) EIM. EIM Research Publicatie Vol. nr. 22
Professional (1)
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Zuidwijk, R., Veenstra, A., van Dalen, J., & Oosterhout, M. (2009). INTEGRITY benefits analysis and measurement plan, Deliverable 6.1. INTEGRITY consortium.
Activities
Additional activities (4)
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Trading Agents Design and AnalysisJan van Dalen (Participant)01 Jan 2015
Activity: Attendance > Attending an event (Academic)
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Tenth Symposium on Statistical Challenges in eCommerce Research (SCECR 2014)Jan van Dalen (Participant)01 Jan 2015
Activity: Attendance > Attending an event (Academic)
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24th Workshop on Information Technologies and SystemsJan van Dalen (Participant)01 Jan 2014
Activity: Attendance > Attending an event (Academic)
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The 21st Workshop on Information Technology and Systems (WITS)Jan van Dalen (Participant)01 Jan 2011
Activity: Attendance > Attending an event (Academic)
Courses
Advanced Statistics & Programming
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BM01BAM
- Level: Master
BIM Research Methods
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BM06BIM
- Level: Master
Business Analytics PT
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BM21MIM-P
- ECTS: 6 Level: Master
Supply chain forecasting
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMME075
- Level: Master, Master, Master, Master
BIM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019
- Code: BMMTBIM
- Level: Master
BAM Master Thesis & Internship
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BMMTIBAM
- Level: Master
MiM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BMMTMIM
- ECTS: 16 Level: Master
BIM Thesis Clinic
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BMRM1BIM
- Level: Master
Statistics
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPE1101
Research Training I
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPE1103
Research Training II
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPE1104
Statistiek
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPN1101
iOnderzoekstraining 1
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPN1103
Onderzoekstraining II
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022
- Code: BPN1104
Past courses
Business Analytics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM21MIM
- ECTS: 6 Level: Master
OLD STYLE - Research Methods and Skills
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMRM3SCM
- Level: Master
Research Training I
- Study year: 2022/2023, 2021/2022
- Code: BPM1102
Research Training II
- Study year: 2022/2023, 2021/2022
- Code: BPM1103
Statistics
- Study year: 2022/2023, 2021/2022
- Code: BPM1101
Applied Business Methods
- Study year: 2021/2022, 2020/2021
- Code: BAB08
- Level: Bachelor 2, Bachelor 2, Pre-master
Applied Business Methods - Case
- Study year: 2021/2022, 2020/2021
- Code: BAB08-C
- Level: Bachelor 2, Bachelor 2, Pre-master
Applied Business Methods - Exam
- Study year: 2021/2022, 2020/2021
- Code: BAB08-E
- Level: Bachelor 2, Bachelor 2, Pre-master
BAM Master Thesis & Internship
- Study year: 2021/2022, 2020/2021
- Code: BMMTBAM
- ECTS: 16 Level: Master
Statistical methods & techniques examination
- Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BKB0019T
- Level: Bachelor 2, Pre-master
Business Information Management
- Study year: 2020/2021
- Code: BT1213
- Level: Bachelor 1, Bachelor 3, Pre-master
Onderzoeksproject
- Study year: 2020/2021
- Code: BK2103
- Level: Bachelor 2, Pre-master
Onderzoekstraining
- Study year: 2020/2021
- Code: BP1103
- ECTS: 5
Research Project
- Study year: 2020/2021
- Code: BT2103
- Level: Bachelor 2, Bachelor 3, Pre-master
Statistical methods & techniques case
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BKB0019C
- Level: Bachelor 2, Pre-master
Statistiek
- Study year: 2020/2021
- Code: BP1101
- ECTS: 4
Big Data and Business Analytics
- Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BMME012
- ECTS: 6 Level: Master, Master, Master
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
Business Information Management
- Study year: 2019/2020
- Code: BT1113
- Level: Bachelor 1, Bachelor 3, Pre-master
SCM Honours Programme
- Study year: 2019/2020, 2018/2019
- Code: BMHONSCM
- ECTS: 8 Level: Master
Research methods
- Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
- Code: BM07MIM
- ECTS: 2 Level: Master
Advances in SCM
- Study year: 2017/2018
- Code: BMHON-SCM-A
- ECTS: 4 Level: Master
Advances in SCM
- Study year: 2017/2018
- Code: BMHONSCM-A
- ECTS: 6 Level: Master
Research clinic
- Study year: 2015/2016
- Code: BKMRCGM
- ECTS: 4 Level: Master
Featured in the media
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New algorithm uses twitter to predict the stock market researchers develop a way for traders to use twitter to make better investment decisions
New research by Ting Li and Jan van Dalen of RSM has found that information taken from Twitter posts could be used to predict the stock market – and help traders to make better investment decisions. “This study shows the potential…
Thursday, 25 January 2018 -
荷兰推出最新研究成果,利用推特预测股价变动
Ting Li and Jan van Dalen of RSM analysed more than a million tweets that involved stocks listed on the S&P 100 index and developed an algorithm to scan stock tweets and predict price changes.
Wednesday, 24 January 2018 -
Researchers develop algo that uses Twitter to predict the stock market
Ting Li and Jan van Dalen of RSM have developed an algorithm that scans tweets about stocks, successfully predicting price fluctuations. "This could be used by institutional investors or home-based day traders, and proves that…
Wednesday, 24 January 2018 -
Can traders rely on Twitter for investment decisions?
Ting Li and Jan van Dalen of RSM have found a way for traders to use Twitter to make better investment decisions. Over a million twitter messages that mentioned stocks listed on the S&P 100 share index were analysed. Li comments…
Wednesday, 24 January 2018 -
Can Twitter predict the stock market? These researchers think so
Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make better decisions on investments. "This study shows the potential value…
Wednesday, 24 January 2018 -
Can Twitter predict the stock market? These researchers think so
Analysis of more than one million Twitter posts by Ting Li and Jan van Dalen of RSM found that they could predict stock market movements and help traders make decisions on investments. “This study shows the potential value of…
Wednesday, 24 January 2018 -
Can Twitter tell you how to invest?
Ting Li, Professor of Digital Business and Jan van Dalen, Associate Professor of Statistics at RSM recently analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. They then developed an…
Wednesday, 24 January 2018 -
New Algorithm Uses Twitter to Predict the Stock Market
Ting Li and Jan van Dalen of RSM have analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. The researchers then developed an algorithm that looked at the sentiment of the tweets and…
Tuesday, 23 January 2018 -
Aandeelhouder Maakt Shell Groen
This edition of BNR's "Zakendoen" references Jan van Dalen and his new study (with Ting Li) on how social media can help investors make better decisions.
Wednesday, 3 January 2018 -
Aandeelhouder Maakt Shell Groen
An interview with Jan van Dalen of RSM about his new study, which discusses how investors can make better financial decisions by using big data to analyse information about stocks on Twitter. Fast-forward to 36:57 to listen. …
Wednesday, 3 January 2018 -
Erasmus Universiteit voorspelt aandelenkoersen met big data-analyse van tweets
Research by Prof Ting Li, Dr Jan van Dalen and alumnus Pieter Jan van Rees of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help…
Monday, 1 January 2018 -
Aandelenkoersen zijn te voorspellen met big data-analyse van tweets
Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used…
Friday, 29 December 2017 -
'Twitterberichten goede voorspeller beurskoers'
It is possible to make better investment decisions based on big data analyses of Twitter messages, say researchers Ting Li and Jan van Dalen of RSM in their new study.
Friday, 22 December 2017 -
Twitterdata nuttig bij voorspellen aandelenkoersen
Noteworthy financial events end up on Twitter, but conversely, financial tweets can also have an influence on developments in finance. Research by Ting Li and Jan van Dalen of RSM shows that big data analyses of tweets can be used…
Wednesday, 20 December 2017 -
Verdienen op de beurs? 'Kijk naar berichten op Twitter'
If you want to earn money by investing, it also makes sense to pay attention to what appears on social media. Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the…
Wednesday, 20 December 2017 -
RSM: Aandelenkoersen voorspellen met big data-analyse van tweets
Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big…
Tuesday, 19 December 2017 -
Predict stock prices with big data analysis of tweets
Do tweets about the stock market contain valuable information for investors, or can they be ignored as noise produced by self-proclaimed financial gurus? A study by Ting Li and Jan van Dalen of RSM shows that a big data analysis…
Tuesday, 19 December 2017 -
Must read: 13% koerswinst China in 2018
A study by Professor Ting Li and Dr Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better…
Tuesday, 19 December 2017 -
Aandelenkoersen voorspellen met big data-analyse van tweets
A new study by Ting Li and Jan van Dalen of RSM shows that a big data analysis of tweets can be used to predict developments in the stock market in the short and long term. This discovery can help investors make better decisions. …
Tuesday, 19 December 2017
Featured on RSM Discovery
The latest issue of RSM Discovery magazine highlights the importance of transparency and accountability in supply chain management, as well as the need for timely and reliable availability of components.
Discover the ethical challenges in corporate procurement. Learn about the widespread unethical practices in B2B sales, their impact on business relationships, and strategies to foster transparency and integrity in procurement processes.
Helping managers understand the benefits of data analytics, big data, the Internet of Things, and artificial intelligence.