Dr Jan van Dalen

Jan van Dalen

Associate Professor of Statistics
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

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

  • Academic (1)
    • Kahlen, M., Ketter, W., & Dalen, J. (2014). Agent-coordinated Virtual Power Plants of Electric Vehicles (Extended Abstract). 1547-1548.

  • Academic (30)
    • Paundra, J., Dalen, J., Rook, L., & Ketter, W. (2020). Ridesharing platform entry effects on ownership-based consumption in Indonesia. Journal of Cleaner Production, 265, [121535]. https://doi.org/10.1016/j.jclepro.2020.121535

    • 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

    • 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

    • 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

    • Paundra, J., 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

    • Pennings, C., & 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

    • Pennings, C., 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

    • Laan, E., Dalen, J., Rohrmoser, M. 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

    • Hogenboom, A., Ketter, W., Dalen, J., Kaymak, U., Collins, J. J. M. ., & 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

    • Liu, L., Daniels, H., Oosterhout, M., & 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

    • Veenstra, A., & 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.

    • Baaij, M., Jong, A., & 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

    • Ma, Y. Y., 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

    • Ma, Y. Y., van Zuylen, HJ., Chen, Y., & 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

    • Chen, CM. C-M., & 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

    • Blindenbach-Driessen, FP., Dalen, J., & 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

    • Madsen, E., 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

    • Baaij, M., Greeven, MJ., & 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

    • 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

    • Dalen, J., & Bode, B. (2001). Kwaliteit- gecorrigeerde prijsontwikkelingen van nieuwe auto's in Nederland, 1990-1999. Kwantitatieve Methoden, 68, 5-40.

    • Kaptein, M., & 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

    • van Frederikslust, RAI., Leermakers, WTJ., Soedito, SN., & Dalen, J. (2000). Een empirische verklaring voor het herstructureren van Nederlandse ondernemingen. MAB, 74(4), 129-144.

    • Dalen, J., & Bode, B. (1999). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. Kwantitatieve Methoden, 61, 69-100.

    • Dalen, J., & Thurik, R. (1998). A model of pricing behavior: an econometric case study. Journal of Economic Behavior and Organization, 36(2), 177-195.

    • Dalen, J., & Thurik, R. (1995). Wholesale pricing in a small open economy. De Economist, 142(1), 55-76. https://doi.org/10.1007/BF01388355

    • Dalen, J. (1993). Primeur: empirisch onderzoek in de groothandel. Economenblad, 15(5), 4-4.

    • 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

    • Dalen, J., Koerts, J., & Thurik, R. (1990). Measurement of Labour Productivity in Wholesaling. International Journal of Research in Marketing, 7(1), 21-34.

    • Dalen, J. (1990). De betekenis van de groothandel voor Nederland. MAB, 63(3), 65-71.

    • Dalen, J., Koerts, J., & Thurik, R. (1989). Disequilibrium in Dutch Retailing: the impact of demand factors. Kwantitatieve Methoden, 30, 5-20.

  • Professional (7)
    • Ketter, W., & Dalen, J. (2020). Balancing Power Grids with Electric Vehicles. RSM Insight, 37(1), 22-24.

    • Laan, E., & Dalen, J. (2017). Improving the supply chain in humanitarian logistics. RSM Discovery - Management Knowledge, 30(2), 8-10. http://hdl.handle.net/1765/100179

    • Fok, D., & Dalen, J. (2015). Boosting business with data analysis. RSM Discovery - Management Knowledge, 21(1), 5-7. http://hdl.handle.net/1765/77991

    • Burgers, S., Baalen, P., & Dalen, J. (2008). Is Open Source Beter dan Gesloten? TIEM: tijdschrift voor informatie en management, 27(September/Oktober), 28-30.

    • Bode, B., & 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.

    • Thurik, R., & Dalen, J. (1992). Plaats en rol van de Nederlandse groothandel. Bloembollenexport, 30(3), 3-7.

    • Dalen, J., & Thurik, R. (1992). Plaats en rol van de Nederlandse groothandel. Economisch-Statistische Berichten, 77(3843), 76-80.

  • Academic (4)
    • Dalen, J. (2010). Werkboek Statistische Onderzoek met Spss for Windows. Lemma.

    • Dalen, J., & de Leede, E. (2009). Statistisch Onderzoek met Spss for Windows - tweede druk. Lemma.

    • Dalen, J., & de Leede, E. (2000). Statistisch Onderzoek met SPSS for Windows. Lemma.

    • de Leede, E., & Dalen, J. (1994). In & Uit: Handleiding SPSS/PC+. Academische Uitgeverij Eburon.

  • Professional (1)
    • de Leede, E., & Dalen, J. (1996). In & Uit, Statistisch Onderzoek met SPSS for Windows. Academische Uitgeverij Eburon.

  • Academic (2)
    • Bode, B., Dalen, J., & Klomp, L. (1996). 'Wat wil je nu eigenlijk zeggen?!'. Ridderprint B.V.

    • Dalen, J., Bode, B., & Klomp, L. (1996). Wat Wil Je Nu Eigenlijk Zeggen?! Liber amicorum. Ridderprint.

  • Academic (9)
    • Edelenbos, J., Hirzalla, F., Zoonen, L., Dalen, J., Bouma, G., Slob, A. 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.

    • Baalen, P., 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

    • Veenstra, A., & 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)

    • 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.

    • 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.

    • 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.

    • 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..

    • Bode, B., 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..

    • 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)
    • Dalen, J., & Bode, B. (2005). Estimation Biases in Quality-Adjusted Hedonic Price Indices. In Erwin Diewert, & Alice Nakamura (Eds.), Diewert papers Trafford Press.

    • Hillebrand, ME., Dalen, J., ten Veen, JH., & Besselink, BMBT. (2000). Risk Factors for Lipodystrophy. In Proceedings of the Fourth World Aids Congres

    • Hillebrand, ME., ten Veen, JH., Dalen, J., & Besselink, BMBT. (1999). The Smart Study I: Efficacy First Triple. In Proceedings of the Third World Aids Congres

    • 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.. NUGI Vol. 681

  • Academic (6)
    • Lu, Y., van Iterson, P., Gupta, A., Ketter, W., 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.

    • Lu, Y., Ketter, W., 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.

    • Lu, Y., Ketter, W., Dalen, J., Gupta, A., & van Heck, E. (2012). An Empirical Model of Multi-unit Sequential Dutch Auctions. Winter Conference on Business Intelligence, Snowbird, USA.

    • 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.

    • 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.

    • 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)
    • van Frederikslust, RAI., Leermakers, WTJ., Soedito, SN., & Dalen, J. (2003). European Financial Management Association.

  • Academic (21)
    • Ketter, W., 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)

    • Kahlen, M., Ketter, W., & 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

    • Baalen, P., Dalen, J., & Malsen, J. (2013). Relational Model Conflicts in Knowledge Sharing Behavior. In - http://hdl.handle.net/1765/40100

    • Lu, Y., van Iterson, P., Gupta, A., Ketter, W., Dalen, J., & van Heck, E. (2012). Buy it now or later: the Impact of Mari on Multi-unit Sequential Dutch Auctions. In Workshop on Information Technology and Systems (WITS-12)

    • Verhagen, E., Rook, L., Dalen, J., & Ketter, W. (2012). Tariff selection. In Conference on Smart Grid – Technologies, Economics, and Policies (SG-TEP)

    • Ketter, W., Haghpanah, Y., 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)

    • Kahlen, M., Valogianni, K., Ketter, W., & 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

    • Lucchese, G., Ketter, W., Dalen, J., & Collins, J. (2011). Forecasting prices in dynamic heterogeneous product markets using multivariate prediction methods. In 13th International Conference on Electronic Commerce (ICEC-11)

    • Hogenboom, A., Hogenboom, F., Kaymak, U., Ketter, W., 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

    • Ma, Y. Y., 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

    • Ma, Y. Y., van Zuylen, H., Chen, Y., & Dalen, J. (2010). Allocation Departure Time Slots to Optimize Dynamic Network Capacity. In the 89th Transporation Resarch Board

    • Gupta, A., Ketter, W., Dalen, J., van Heck, E., & Wasesa, M. (2010). Neural Network Based Recommendation Agent for Determining the Starting Price in Multi-Unit Sequential Dutch Auctions. In 20th Workshop on Information Systems and Technology (WITS-10)

    • Ma, Y. Y., Dalen, J., de Blois, C., & van Nunen, J. (2010). Estimating Dynamic Transport Population for Official Statistics based on GPS/GSM. In proceeding of the Seventh International Conference on Traffic and Transport Study

    • 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).

    • Hogenboom, A., Ketter, W., 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)

    • Hogenboom, A., Ketter, W., Dalen, J., Kaymak, U., Collins, J. J. M. ., & 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

    • Hogenboom, F., Ketter, W., 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

    • Hogenboom, A., Ketter, W., Dalen, J., Kaymak, U., Collins, J. J. M. ., & 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).

    • Hogenboom, F., Ketter, W., 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).

    • Ma, Y. Y., van Zuylen, H., Chen, Y., & 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.

    • Veenstra, A., & 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.

  • Internal (1)
    • Dalen, J. (1992). Quantitative Studies in Wholesaling. Erasmus Universiteit Rotterdam.

  • Academic (9)
    • Bode, B., & 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

    • Kaptein, M., & Dalen, J. (1999). The empirical assessment of corporate ethics. (ERASM Management Report Series 18-1999 ed.) Unknown. ERASM Management Report Series Vol. 18-1999

    • Bode, B., & Dalen, J. (1999). Audit Prijsindexcijfer van het Beroepsgoederenvervoer over de weg. CBS.

    • Dalen, J., & Bode, B. (1998). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. (ERASM management report series 61 ed.) Unknown. ERASM management report series Vol. 61

    • Dalen, J. (1998). Kwalitatieve aspecten van kwantitatieve maatstaven: prijsindices in de schijnwerpers. (Management Report Serie 61-1998 ed.) Unknown. Management Report Serie Vol. 61-1998

    • Dalen, J., & Thurik, R. (1996). A model of the price behaviour of Dutch flower exporters. (Tinbergen Institute 96-069 ed.) Tinbergen. Tinbergen Institute Vol. 96-069

    • Dalen, J., & Thurik, R. (1995). A Model of the Price behaviour of Dutch Flower Exporters. (Management Report 218 ed.) Erasmus. Management Report Vol. 218

    • Dalen, J., & Thurik, R. (1993). Pricing Differences Between Wholesale Business Types in a Small Open Economy. (Management Report Series 162 ed.) Erasmus University Rotterdam.

    • 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)
    • Zuidwijk, R., Veenstra, A., Dalen, J., & Oosterhout, M. (2009). INTEGRITY benefits analysis and measurement plan, Deliverable 6.1. INTEGRITY consortium.

Media

Media items

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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.

  • 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…

  • 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.

  • 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.

  • 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…

  • 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…

  • '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.

  • 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…

  • 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…

  • 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…

  • 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.

  • 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…

  • 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…

Discovery items

RSM Discovery magazine 37 – out now!

Issue 37: devoted to understand the benefits of data analytics in an age where big data have become woven into the very fabric of our lives.

How to promote car-sharing to people who love their own cars

Car-sharing schemes can reduce the environmental impact of driving. But how do you entice car owners that are really attached to their cars?

Predicting the stock market with big-data analysis of tweets

"The big challenge was to determine what all the emoji, slang expressions and negations in tweets actually say about stock sentiment."

Boosting business with data analysis

Pretty much every modern organisation collects a mountain of data on a daily basis as it goes about its business.

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BIM Master Thesis

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019
  • Code: BMMTBIM
  • Level: Master

BAM Master Thesis & Internship

  • Study year: 2021/2022
  • Code: BMMTIBAM
  • Level: Master

Research Methods and Skills

  • Study year: 2021/2022, 2020/2021
  • Code: BMRM3SCM
  • Level: Master

Statistics

  • Study year: 2021/2022
  • Code: BPE1101

Statistiek

  • Study year: 2021/2022
  • Code: BPN1101

Past courses

Applied Business Methods

  • Study year: 2020/2021
  • Code: BAB08
  • Level: Bachelor 2, Bachelor 2, Pre-master

BAM Master Thesis & Internship

  • Study year: 2020/2021
  • Code: BMMTBAM
  • ECTS: 16 Level: 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, 2014/2015, 2013/2014, 2012/2013
  • Code: BKB0019C
  • Level: Bachelor 2, Pre-master

Statistical methods & techniques examination

  • Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016, 2014/2015, 2013/2014, 2012/2013
  • Code: BKB0019T
  • 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: BMHONSCM-A
  • ECTS: 6 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHON-SCM-A
  • ECTS: 4 Level: Master

Research clinic

  • Study year: 2015/2016, 2014/2015, 2013/2014
  • Code: BKMRCGM
  • ECTS: 4 Level: Master

Big Data and Business Analytics

  • Study year: 2014/2015, 2013/2014
  • Code: RSMME011
  • ECTS: 6 Level: Master

Forecasting in supply chains

  • Study year: 2014/2015, 2013/2014
  • Code: RSMME070
  • ECTS: 6 Level: Master

Research methods

  • Study year: 2014/2015
  • Code: BKM24GM
  • ECTS: 2 Level: Master

BIM research topics block 1

  • Study year: 2013/2014
  • Code: RSM03BIM
  • ECTS: 1 Level: Master

BIM research topics block 2

  • Study year: 2013/2014
  • Code: RSM06BIM
  • ECTS: 1 Level: Master

Research methods

  • Study year: 2013/2014, 2012/2013
  • Code: BKM07GM
  • ECTS: 1 Level: Master

Statistische methoden en technieken

  • Study year: 2013/2014, 2012/2013
  • Code: BKB0019
  • ECTS: 6 Level: Bachelor 2