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By Topic

Below are my 117 publications in APA style ordered by research interest topic. The By Type, By Date and By Author pages show my publications grouped by publication type, date and co-author, respectively.

Business Intelligence:48Data Analytics:31Health Informatics:22Social Media:16Information Security:16IT Strategy:14Text Analytics:13Cloud Computing:7... Health Informatics:1

2017-08-20 11:00:29 (GMT)

Business Intelligence

  1. Spruit,M., & Pietzka,K. (2015). MD3M: The Master Data Management Maturity Model. Computers in Human Behavior, 51(B), 1068-1076. [ISI impact factor: 3.435] [pdf] [online]
  2. Pachidi,S., Spruit,M., & Weerd,I. van der (2014). Understanding Users' Behavior with Software Operation Data Mining. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 583–594. [ISI impact factor: 3.435] [pdf] [online]
  3. Spruit,M., Vroon,R., & Batenburg,R. (2014). Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 698–707. [ISI impact factor: 3.435] [pdf] [online]
  4. Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs & Aging, 32(6), 495–503. [ISI impact factor: 2.769] [pdf] [online]
  5. Menger,V., Spruit,M., Hagoort,K., & Scheepers,F. (2016). Transitioning to a data driven mental health practice: collaborative expert sessions for knowledge and hypothesis finding. Computational and Mathematical Methods in Medicine, Article ID 9089321, 11. [ISI impact factor: 0.937] [online]
  6. Buijs,M., & Spruit,M. (In press). Asynchronous social search as a single point of access to information. Library Hi Tech. [ISI impact factor: 0.798]
  7. Verkooij,K., & Spruit,M. (2013). Mobile Business Intelligence: Key considerations for implementation projects. Journal of Computer Information Systems, 54(1), 23–33. [ISI impact factor: 0.764] [pdf] [online]
  8. Meulendijk,M., Spruit,M., Lefebvre,A., & Brinkkemper,S. (In press). To what extent can prescriptions be meaningfully exchanged between primary care terminologies? A case study of four Western European classification systems. IET Software. [ISI impact factor: 0.733] [online]
  9. Spruit,M., & Sacu,C. (2015). DWCMM: The Data Warehouse Capability Maturity Model. Journal of Universal Computer Science, 21(11), 1508-1534. [ISI impact factor: 0.466] [pdf] [online]
  10. Stroe,A., Spruit,M., Koelemeijer,S., & Beltman,B. (2016). PMOMM: The Project Management Office Maturity Model. International Journal of Knowledge Society Research, 7(3), 47-61. [pdf] [online]
  11. Christoulakis,M., Spruit,M., & Dijk,J. van (2015). Data Quality Management in the public domain: A case study within the Dutch Justice System. International Journal of Information Quality, 4(1), 1–17. [pdf] [online]
  12. Otten,S., Spruit,M., & Helms,R. (2015). Towards decision analytics in product portfolio management. Decision Analytics, 2(4). [online]
  13. Pachidi,S., & Spruit,M. (2015). The Performance Mining method: Extracting performance knowledge from software operation data. International Journal of Business Intelligence Research, 6(1), 11–29. [pdf] [online]
  14. Spruit,M., & Adriana,T. (2015). Quantifying education quality in secondary schools. International Journal of Knowledge Society Research, 6(1), 55-87. [pdf] [online]
  15. Spruit,M., & Vlug,B. (2015). Effective and Efficient Classification of Topically-Enriched Domain-Specific Text Snippets. International Journal of Strategic Decision Sciences, 6(3), 1–17. [pdf] [online]
  16. Fotaki,G., Spruit,M., Brinkkemper,S., & Meijer,D. (2014). Exploring big data opportunities for online customer segmentation. International Journal of Business Intelligence Research, 5(3), 57–73. [pdf] [online]
  17. Maass,D., Spruit,M., & Waal,P. de (2014). Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry. Decision Analytics, 1(1), 4. [online]
  18. Spruit,M., & Boer,T. de (2014). Business Intelligence as a Service: A Vendor’s Approach . International Journal of Business Intelligence Research, 5(4), 26–43. [pdf]
  19. Wasmann,M., & Spruit,M. (2012). Performance Management within Social Network Sites: The Social Network Intelligence Process Method. International Journal of Business Intelligence Research, 3(2), April-June 2012, 49–63. [pdf] [online]
  20. Vleugel,A., Spruit,M., & Daal,A. van (2010). Historical data analysis through data mining from an outsourcing perspective: the three-phases method. International Journal of Business Intelligence Research, 1(3), 42–65. [pdf] [online]
  21. Tijssen,R., Spruit,M., Ridder,M. van de, & Raaij,B. van (2011). BI-FIT: Aligning Business Intelligence end-users, tasks and technologies. In Cruz-Cunha,M., & Varajão,J. (Eds.), Enterprise Information Systems Design, Implementation and Management: Organizational Applications (pp. 162–177). [pdf] [online]
  22. Spruit,M., & Lammertink,M. (2018). Effective and efficient business intelligence dashboard design: Gestalt theory in Dutch long-term and chronic healthcare. In Lytras,M., & Papadopoulou,P. (Eds.), Applying Big Data Analytics in Bioinformatics and Medicine (pp. 243–271). Hershey,PA: IGI Global. [pdf] [online]
  23. Dijk,J. van, Bargh,M., Choenni,S., & Spruit,M. (2017). Maturing Pay-as-you-go Data Management: Towards decision support for paying the larger bills. In Helfert,M., Holzinger,A., Belo,O., & Francalanci,C. (Eds.), Data Management Technologies and Applications: 5th International Conference, DATA 2016, Revised Selected papers (pp. 102–124). Springer. [online]
  24. Pachidi,S., & Spruit,M. (2016). The Performance Mining method: Extracting performance knowledge from software operation data. In Information Science Reference (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 181–199). Hershey, PA: IGI Global. [online]
  25. Buijs,M., & Spruit,M. (2015). Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine. In Fred,A., Dietz,J., Aveiro,D., Liu,K., & Filipe,J. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, Revised Selected Papers (pp. 118–131). ScitePress. [online]
  26. Houten,R. van den, & Spruit,M. (2015). Proactive Business Intelligence: Discovering Key Performance Indicators with the Rule Extraction Matrix Method. Business Intelligence: Technologies, Applications and Challenges (pp. 1–26). Nova Publishers. [pdf] [online]
  27. Dijk,J. van, Choenni,S., Leertouwer,E., Spruit,M., & Brinkkemper,S. (2013). A Data Space System for the Criminal Justice Chain. Lecture Notes in Computer Science 8185, Proceedings of On the Move to Meaningful Internet Systems: OTM 2013 Conferences (pp. 755-763). ODBASE 2013, 10-11 September 2013, Graz, Austria, Springer. [online]
  28. Otten,S., & Spruit,M. (2011). Linguistic engineering and its applicability to business intelligence: towards an integrated framework. International Conference on Knowledge Discovery and Information Retrieval (pp. 460–464). Paris, France: SciTePress. [pdf] [online]
  29. Sacu,C., & Spruit,M. (2010). BIDM: The Business Intelligence development model. 12th International Conference on Enterprise Information Systems (pp. 288–293). ICEIS, 8- 12 June, 2010, Funchal, Madeira, Portugal. [pdf] [online]
  30. Tijssen,R., Spruit,M., Ridder,M. van de, & Raaij,B. van (2009). BI-FIT : The fit between Business Intelligence end-users, tasks and technologies. Conference on ENTERprise Information Systems (pp. 523–535). CENTERIS 2009, 7-9 October 2009, Ofir, Portugal. [pdf]
  31. Brakenhoff,L., & Spruit,M. (In press). Consumer Engagement Characteristics in Mobile Advertising. Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Funchal, Portugal.
  32. Homberg,M. van den, Monné,R., & Spruit,M. (2016). Bridging the Information Gap: Mapping Data Sets on Information Needs in the Preparedness and Response Phase. Proceedings of the UNESCO Chair in Technologies for Development: From Innovation to Social Impact, Tech4Dev: UNESCO Chair in Technologies for Development: From Innovation to Social Impact. [online]
  33. Shen,Z., Meulendijk,M., & Spruit,M. (2016). A federated information architecture for multinational clinical trials: STRIPA revisited. 24th European Conference on Information Systems. Istanbul, Turkey. [pdf] [online]
  34. Spruit,M., & Jagesar,R. (2016). Power to the People! Meta-algorithmic modelling in applied data science. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 400–406). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf] [online]
  35. Toledo,C. van, & Spruit,M. (2016). Adopting privacy regulations in a data warehouse: A case of the anonimity versus utility dilemma. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 67–72). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf]
  36. Lefebvre,A., Spruit,M., & Omta,W (2015). Towards reusability of computational experiments: Capturing and sharing Research Objects from knowledge discovery processes. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 456–462). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. [pdf] [online]
  37. Meulendijk,M., Spruit,M., Numans,M., Brinkkemper,S., & Jansen,P. (2015). STRIPA: a rule-based decision support system for medication reviews in primary care. 23rd European Conference on Information Systems (pp. Paper 29). ECIS 2015, 26-29 May, 2015, Münster, Germany. [pdf] [online]
  38. Spruit,M., & Cepoi,A. (2015). CIRA: A competitive intelligence reference architecture for dynamic solutions. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 249–258). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. [pdf] [online]
  39. Buijs,M., & Spruit,M. (2014). The Social Score: determining the relative importance of webpages based on online social signals. Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (pp. 71–77). KDIR 2014, 21-24 October, Rome,Italy: SciTePress. [pdf] [online]
  40. Spruit,M. (2013). Selecting data quality dimensions: towards a business impacts assessment. 6th World Summit on the Knowledge Society. WSKS 2013, June 19-21, Aveiro, Portugal. [pdf]
  41. Spruit,M., & Vroon,R. (2013). Information needs in the Dutch long-term care sector. 6th World Summit on the Knowledge Society. WSKS 2013, June 19-21, Aveiro, Portugal. [pdf]
  42. Stroe,A., Koelemeijer,S, & Spruit,M. (2013). Een PMO is meer dan een administratiekantoor. Controllers Magazine. Management Accounting & Control. [online]
  43. Sacu,C., & Spruit,M. (2010). BIDM: The Business Intelligence development model. Technical report UU-CS-2010-010, Department of Information and Computing Sciences, Utrecht University. [pdf] [online]
  44. Sacu,C., Spruit,M., & Habers,F. (2010). Data Warehouse Maturity Assessment Questionnaire. Technical report UU-CS-2010-021, Department of Information and Computing Sciences, Utrecht University. [pdf] [online]
  45. Shen, Z., Meulendijk,M., Knol,W., Huibers,L., Wilting,I., Jansen,P., & Spruit,M. (2016). STRIPA Investigational Medical Device Dossier (IMDD). version 2.03, Department of Information and Computing Sciences, Utrecht University.
  46. Boer,T. de, & Spruit,M. (2014). The business intelligence as a service capability maturity model. Technical report UU-CS-2014-023, Department of Information and Computing Sciences, Utrecht University. [online]
  47. Spruit,M., & Pietzka,K. (2014). The MD3M Questionnaire: Assessing Master Data Management Maturity. Technical report UU-CS-2014-022, Department of Information and Computing Sciences, Utrecht University. [online]
  48. Fotaki,G., Spruit,M., Brinkkemper,S., & Meijer,D. (2013). Exploring Big data opportunities for Online Customer Segmentation. Technical report UU-CS-2013-021, Department of Information and Computing Sciences, Utrecht University. [online]

Data Analytics

  1. Eskes,P., Spruit,M., Brinkkemper,S., Vorstman,J., & Kas,M. (2016). The Sociability Score: App-based social profiling from a healthcare perspective. Computers in Human Behavior, 59, 39-48. [ISI impact factor: 3.435] [pdf] [online]
  2. Pachidi,S., Spruit,M., & Weerd,I. van der (2014). Understanding Users' Behavior with Software Operation Data Mining. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 583–594. [ISI impact factor: 3.435] [pdf] [online]
  3. Spruit,M., Vroon,R., & Batenburg,R. (2014). Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 698–707. [ISI impact factor: 3.435] [pdf] [online]
  4. Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs & Aging, 32(6), 495–503. [ISI impact factor: 2.769] [pdf] [online]
  5. Meulendijk,M., Spruit,M., Willeboordse,F., Numans,M., Brinkkemper,S., Knol,W., Jansen,P., & Askari,M. (2016). Efficiency of clinical decision support systems improves with experience. Journal of Medical Systems, 40(4), 1–7. [ISI impact factor: 2.456] [pdf] [online]
  6. Omta,W., Nobel,J. de, Klumperman,J., Egan,D., Spruit.M., & Brinkhuis,M. (In press). Improving Comprehension Efficiency of HCS Data Through Interactive Visualizations. ASSAY and Drug Development Technologies. [ISI impact factor: 2.196]
  7. Omta,W., Heesbeen,R. van, Pagliero,R., Velden,L. van der, Lelieveld,D., Nellen,M., Kramer,M., Yeong,M., Saeidi,A., Medema,R., Spruit,M., Brinkkemper,S., Klumperman,J., & Egan,D. (2016). HC StratoMineR: A web-based tool for the rapid analysis of high content datasets. ASSAY and Drug Development Technologies, 14(8), 439–452. [ISI impact factor: 2.196] [online]
  8. Spruit,M. (2006). Measuring syntactic variation in Dutch dialects. Literary and Linguistic Computing, 21(4), Progress in Dialectometry: Toward Explanation, 493–506. [ISI impact factor: 0.717] [pdf] [online]
  9. Spruit,M., Heeringa,W., & Nerbonne,J. (2009). Associations among linguistic levels. Lingua, 119(11), The forests behind the trees, 1624–1642. [ISI impact factor: 0.578] [pdf] [online]
  10. Spruit,M. (2009). Towards linguistic knowledge discovery in language variation databases. Zeitschrift für Dialektologie und Linguistik, ZDL-Beiheft 138, Low Saxon Dialects across borders, 179–193. [ISI impact factor: 0.188] [pdf] [online]
  11. Syed,S., & Spruit,M. (In press). Full Text or Abstract - Examining Topic Coherence Scores Using Latent Dirichlet Allocation, 4th IEEE International Conference on Data Science and Advanced Analytics. [online]
  12. Otten,S., Spruit,M., & Helms,R. (2015). Towards decision analytics in product portfolio management. Decision Analytics, 2(4). [online]
  13. Pachidi,S., & Spruit,M. (2015). The Performance Mining method: Extracting performance knowledge from software operation data. International Journal of Business Intelligence Research, 6(1), 11–29. [pdf] [online]
  14. Fotaki,G., Spruit,M., Brinkkemper,S., & Meijer,D. (2014). Exploring big data opportunities for online customer segmentation. International Journal of Business Intelligence Research, 5(3), 57–73. [pdf] [online]
  15. Maass,D., Spruit,M., & Waal,P. de (2014). Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry. Decision Analytics, 1(1), 4. [online]
  16. Vleugel,A., Spruit,M., & Daal,A. van (2010). Historical data analysis through data mining from an outsourcing perspective: the three-phases method. International Journal of Business Intelligence Research, 1(3), 42–65. [pdf] [online]
  17. Heeringa,W., Nerbonne,J., Bezooijen,R. van, & Spruit,M. (2007). Geografie en inwoneraantallen als verklarende factoren voor variatie in het Nederlandse dialectgebied. Tijdschrift voor Nederlandse taal- en letterkunde, 123(1), Kwantitatieve benaderingen in de taal- en letterkunde, 70–82. [pdf] [online]
  18. Spruit,M. (2008). Quantitative perspectives on syntactic variation in Dutch dialects. LOT Dissertation Series 174, Doctoral disseration, University of Amsterdam, The Netherlands, Utrecht: LOT. [pdf] [online]
  19. Pachidi,S., & Spruit,M. (2016). The Performance Mining method: Extracting performance knowledge from software operation data. In Information Science Reference (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 181–199). Hershey, PA: IGI Global. [online]
  20. Houten,R. van den, & Spruit,M. (2015). Proactive Business Intelligence: Discovering Key Performance Indicators with the Rule Extraction Matrix Method. Business Intelligence: Technologies, Applications and Challenges (pp. 1–26). Nova Publishers. [pdf] [online]
  21. Pachidi,S., & Spruit,M. (2012). Mining Performance Knowledge in User Logs. Proceedings of the 5th World Summit on the Knowledge Society (pp. Paper 47). WSKS 2012, June 20-22, 2012, Rome, Italy. [pdf] [online]
  22. Polman,T., & Spruit,M. (2012). Integrating knowledge engineering and data mining in e-commerce fraud prediction. In Ruan,D., Tennyson,R., Ordonez De Pablos,P., García Peñalvo,F., & Rusu,L. (Eds.), Communications in Computer and Information Science 278, Information Systems, E-learning and Knowledge Management Research for the Knowledge Society: The era of Social Networks, Web 2.0 and Open Source Paradigms (pp. 460-466). Mykonos, 21-23 September 2011: Springer. [pdf] [online]
  23. Spruit,M. (2007). Discovery of association rules between syntactic variables: Data mining the Syntactic atlas of the Dutch dialects. In Dirix,P., Schuurman,I., Vandeghinste,V., & Eynde,F. van (Eds.), Computational Linguistics in the Netherlands 2006: Selected papers from the seventeenth CLIN meeting (pp. 83–98). Utrecht: LOT Occasional Series. [pdf] [online]
  24. Spruit,M. (2005). Classifying Dutch dialects using a syntactic measure: The perceptual Daan and Blok dialect map revisited. Linguistics in the Netherlands 2005 (pp. 179–190). Amsterdam: John Benjamins. [pdf] [online]
  25. Brakenhoff,L., & Spruit,M. (In press). Consumer Engagement Characteristics in Mobile Advertising. Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Funchal, Portugal.
  26. Meulendijk,M., Spruit,M., & Brinkkemper,S. (2017). Risk mediation in association rules: the case of decision support in medication review. In Teije,A. ten, Popow,C., Holmes,J., & Sacchi,L. (Eds.), LNAI 10259, 16th Conference on Artificial Intelligence in Medicine (pp. 327 ff). AIME 2017, June 21-24, Vienna, Austria: Springer. [pdf] [online]
  27. Homberg,M. van den, Monné,R., & Spruit,M. (2016). Bridging the Information Gap: Mapping Data Sets on Information Needs in the Preparedness and Response Phase. Proceedings of the UNESCO Chair in Technologies for Development: From Innovation to Social Impact, Tech4Dev: UNESCO Chair in Technologies for Development: From Innovation to Social Impact. [online]
  28. Spruit,M., & Jagesar,R. (2016). Power to the People! Meta-algorithmic modelling in applied data science. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 400–406). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf] [online]
  29. Lefebvre,A., Spruit,M., & Omta,W (2015). Towards reusability of computational experiments: Capturing and sharing Research Objects from knowledge discovery processes. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 456–462). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. [pdf] [online]
  30. Spruit,M., & Cepoi,A. (2015). CIRA: A competitive intelligence reference architecture for dynamic solutions. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 249–258). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. [pdf] [online]
  31. Buijs,M., & Spruit,M. (2014). The Social Score: determining the relative importance of webpages based on online social signals. Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (pp. 71–77). KDIR 2014, 21-24 October, Rome,Italy: SciTePress. [pdf] [online]

Health Informatics

  1. Eskes,P., Spruit,M., Brinkkemper,S., Vorstman,J., & Kas,M. (2016). The Sociability Score: App-based social profiling from a healthcare perspective. Computers in Human Behavior, 59, 39-48. [ISI impact factor: 3.435] [pdf] [online]
  2. Spruit,M., Vroon,R., & Batenburg,R. (2014). Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 698–707. [ISI impact factor: 3.435] [pdf] [online]
  3. Menger,V., Scheepers,F., Wijk,L. van, & Spruit,M. (In press). DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics and Informatics. [ISI impact factor: 3.398] [online]
  4. Meulendijk,M., Spruit,M., Drenth-van-Maanen,A., Numans,M., Brinkkemper,S., & Jansen,P. (2013). General practitioners’ attitudes towards decision-supported prescribing: an analysis of the Dutch primary care sector. Health Informatics Journal, 19(4), 247–263. [ISI impact factor: 3.021] [pdf] [online]
  5. Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs & Aging, 32(6), 495–503. [ISI impact factor: 2.769] [pdf] [online]
  6. Meulendijk,M., Spruit,M., Willeboordse,F., Numans,M., Brinkkemper,S., Knol,W., Jansen,P., & Askari,M. (2016). Efficiency of clinical decision support systems improves with experience. Journal of Medical Systems, 40(4), 1–7. [ISI impact factor: 2.456] [pdf] [online]
  7. Omta,W., Nobel,J. de, Klumperman,J., Egan,D., Spruit.M., & Brinkhuis,M. (In press). Improving Comprehension Efficiency of HCS Data Through Interactive Visualizations. ASSAY and Drug Development Technologies. [ISI impact factor: 2.196]
  8. Omta,W., Heesbeen,R. van, Pagliero,R., Velden,L. van der, Lelieveld,D., Nellen,M., Kramer,M., Yeong,M., Saeidi,A., Medema,R., Spruit,M., Brinkkemper,S., Klumperman,J., & Egan,D. (2016). HC StratoMineR: A web-based tool for the rapid analysis of high content datasets. ASSAY and Drug Development Technologies, 14(8), 439–452. [ISI impact factor: 2.196] [online]
  9. Menger,V., Spruit,M., Hagoort,K., & Scheepers,F. (2016). Transitioning to a data driven mental health practice: collaborative expert sessions for knowledge and hypothesis finding. Computational and Mathematical Methods in Medicine, Article ID 9089321, 11. [ISI impact factor: 0.937] [online]
  10. Meulendijk,M., Spruit,M., Lefebvre,A., & Brinkkemper,S. (In press). To what extent can prescriptions be meaningfully exchanged between primary care terminologies? A case study of four Western European classification systems. IET Software. [ISI impact factor: 0.733] [online]
  11. Omta,W., Egan,D., Klumperman,J., Spruit,M., & Brinkkemper,S. (2013). HTS-IA: High Throughput Screening Information Architecture for Genomics. International Journal of Healthcare Information Systems and Informatics, 8(4), 17–31. [online]
  12. Omta,W., Egan,D., Spruit,M., & Brinkkemper,S. (2012). Information Architecture in High Throughput Screening. Procedia Technology, 5, 696–705. [pdf] [online]
  13. Meulendijk,M., Drenth-van-Maanen,A., Jansen,P., Brinkkemper,S., Numans,M., & Spruit,M. (2013). Introducing the CORETEST feasibility analysis in medical informatics: a case study of a decision-supportive knowledge system in the Dutch primary care sector. In Miranda,I., Cruz-Cunha,M., & Gonçalves,P. (Eds.), Handbook of Research on ICTs for Healthcare and Social Services: Developments and Applications (pp. 1066–1087). IGI Global. [pdf]
  14. Aarnoutse,F., Renes,C., Batenburg,R., & Spruit,M. (2016). STRIPA: The potential usefulness of a medical app. In Gasmelseid,T. (Ed.), Advancing Pharmaceutical Processes and Tools for Improved Health Outcomes (pp. 114–135). IGI Global. [pdf] [online]
  15. Krens,R., Spruit,M., & Urbanus,N. (2012). Evaluating information security effectiveness with Health Professionals. In Fred,A., Filipe,J., & Gamboa,H. (Eds.), Communications in Computer and Information Science 274, BIOSTEC 2011 (pp. 324–334). Springer. [pdf]
  16. Krens,R., Spruit,M., & Urbanus,N. (2011). Information security in Health care: Evaluation with Health Professionals. Proceedings of the 4th International Conference on Health Informatics (pp. 61–69). HEALTHINF 2011, 26-29 January, 2011, Rome, Italy. [pdf] [online]
  17. Meulendijk,M., Spruit,M., & Brinkkemper,S. (2017). Risk mediation in association rules: the case of decision support in medication review. In Teije,A. ten, Popow,C., Holmes,J., & Sacchi,L. (Eds.), LNAI 10259, 16th Conference on Artificial Intelligence in Medicine (pp. 327 ff). AIME 2017, June 21-24, Vienna, Austria: Springer. [pdf] [online]
  18. Schalk,I van der, & Spruit,M. (2017). Sign-Lingo: Feasibility of a Serious Game for Involving Parents in the Language Development of their Deaf or Hearing Impaired Child. In Broek,E. van der, Fred,A., Gamboa,H., & Vaz,M. (Eds.), Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) (pp. 191-198). HEALTHINF 2017, Febr 21-23, 2017, Porto, Portugal: SciTePress. [pdf] [online]
  19. Shen,Z., Meulendijk,M., & Spruit,M. (2016). A federated information architecture for multinational clinical trials: STRIPA revisited. 24th European Conference on Information Systems. Istanbul, Turkey. [pdf] [online]
  20. Meulendijk,M., Spruit,M., Numans,M., Brinkkemper,S., & Jansen,P. (2015). STRIPA: a rule-based decision support system for medication reviews in primary care. 23rd European Conference on Information Systems (pp. Paper 29). ECIS 2015, 26-29 May, 2015, Münster, Germany. [pdf] [online]
  21. Meulendijk,M., Meulendijks,E., Jansen,P., Numans,M., & Spruit,M. (2014). What concerns users of medical apps? Exploring non-functional requirements of medical mobile applications. 22nd European Conference on Information Systems. Tel Aviv, Israel. [pdf] [online]
  22. Spruit,M., & Vroon,R. (2013). Information needs in the Dutch long-term care sector. 6th World Summit on the Knowledge Society. WSKS 2013, June 19-21, Aveiro, Portugal. [pdf]

Social Media

  1. Wijaya,S., Spruit,M., Scheper,W., & Versendaal,J. (2011). Web 2.0-based Webstrategies for Three Different Types of Organizations. Computers in Human Behavior, 27(4), 1399–1407. [ISI impact factor: 3.435] [pdf] [online]
  2. Snijders,R., & Spruit,M. (2014). Towards Improved Music Recommendation: Using Blogs And Micro-Blogs. International Journal of Multimedia Data Engineering and Management , 5(1), 34–51. [pdf]
  3. Wasmann,M., & Spruit,M. (2012). Performance Management within Social Network Sites: The Social Network Intelligence Process Method. International Journal of Business Intelligence Research, 3(2), April-June 2012, 49–63. [pdf] [online]
  4. Bebensee,T., Helms,R., & Spruit,M. (2011). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. Electronic Journal of Knowledge Management, 9(1), ECKM Special Issue, 1–9. [pdf] [online]
  5. Faase,R., Helms,R., & Spruit,M. (2011). Web 2.0 In The CRM Domain: Defining Social CRM. International Journal of Electronic Customer Relationship Management, 5(1), 1–2. [pdf] [online]
  6. Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. In Gurteen,David (Ed.), Leading Issues in Social Knowledge Management (pp. 22-41). Academic Publishing International. [pdf] [online]
  7. Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring the Impact of Web 2.0 on Knowledge Management. In Boughzala,I., & Dudezert,A. (Eds.), Knowledge Management 2.0: Organizational Models and Enterprise Strategies (pp. 17–43). IGI Global. [pdf] [online]
  8. Knol,P., Spruit,M., & Scheper,W. (2010). The Emerging Value of Social Computing in Business Model Innovation. In Lytras,M., Ordoñez de Pablos,P., Lee,W., & Karwowski,W. (Eds.), Electronic Globalized Business And Sustainable Development Through IT Management: Strategies And Perspectives (pp. 112–134). IGI Global. [pdf] [online]
  9. Wijaya,S., Spruit,M., & Scheper, W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras,M., Damiani,E., & Ordóñez de Pablos,P. (Eds.), Web 2.0: The Business Model (pp. 103–132). Springer. [pdf] [online]
  10. Buijs,M., & Spruit,M. (2015). Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine. In Fred,A., Dietz,J., Aveiro,D., Liu,K., & Filipe,J. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, Revised Selected Papers (pp. 118–131). ScitePress. [online]
  11. Helms,R., Booij,E., & Spruit,M. (2012). Reaching out: Involving users in innovation tasks through social media. Proceedings of the 20th European Conference on Information Systems (pp. Paper 193). ECIS 2012, June 10-13, 2012, Barcelona. [pdf] [online]
  12. Bebensee,T., Helms,R., & Spruit,M. (2010). Exploring Web 2.0 Applications as a Mean of Bolstering Up Knowledge Management in Non-Profit Organizations. 11th European Conference on Knowledge Management (pp. 65–73). ECKM, 2-3 September 2010, Universidade Lusíada de Vila Nova de Famalicão, Famalicão, Portugal. [pdf]
  13. Kormaris,G., & Spruit,M. (2010). Bridging the Gap between Web 2.0 Technologies and Social Computing Principles. Communications in Computer and Information Science 87, Networked Digital Technologies - Second International Conference (pp. 430–443). NDT 2010, July 7-9, 2010, Prague, Czech Republic. [pdf] [online]
  14. Knol,P., Spruit,M., & Scheper,W. (2008). Web 2.0 Revealed - Business Model Innovation through Social Computing. Proceedings of the Seventh AIS SIGeBIZ Workshop on e-business. Paris, France. [pdf]
  15. Wijaya,S., Spruit,M., & Scheper,W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras, M., Carroll, J., Damiani,E., & Tennyson,R. (Eds.), Lecture Notes in Computer Science 5288, Emerging Technologies and Information Systems for the Knowledge Society (pp. 373–384). WSKS 2008, September 24-26, 2008, Athens, Greece: Springer. [pdf]
  16. Buijs,M., & Spruit,M. (2014). The Social Score: determining the relative importance of webpages based on online social signals. Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (pp. 71–77). KDIR 2014, 21-24 October, Rome,Italy: SciTePress. [pdf] [online]

Information Security

  1. Mijnhardt,F., Baars,T., & Spruit,M. (2016). Organizational Characteristics Influencing SME Information Security Maturity. Journal of Computer Information Systems, 56(2), 106-115. [ISI impact factor: 0.764] [pdf] [online]
  2. Baars,T., & Spruit,M. (2012). Analysing the Security Risks of Cloud Adoption Using the SeCA Model: A Case Study. Journal of Universal Computer Science, 18(12), Security in Information Systems, 1662–1678. [ISI impact factor: 0.466] [pdf] [online]
  3. Baars,T., Mijnhardt,F., Vlaanderen,K., & Spruit,M. (2016). An Analytics Approach to Adaptive Maturity Models using Organizational Characteristics. Decision Analytics, 3(5). [online]
  4. Baars,T., & Spruit,M. (2012). Designing a Secure Cloud Architecture: The SeCA Model. International Journal of Information Security and Privacy, 6(1), January-March 2012, 14–32. [pdf] [online]
  5. Spruit,M., & Bruijn,W. de (2012). CITS:The Cost of IT Security Framework. International Journal of Information Security and Privacy, 6(4), October-December 2012, 94–116. [pdf]
  6. Bruijn,W. de, Spruit,M., & Heuvel,M. van der (2010). Identifying the Cost of Security. Journal of Information Assurance and Security, 5(1), 074–083. [pdf] [online]
  7. Baars,T., & Spruit,M. (2013). The SeCA model: Ins & Outs of a Secure Cloud Architecture. In Rosado,D., Mellado,D., Fernandez-Medina,E., & Piattini,M. (Eds.), Security Engineering for Cloud Computing: Approaches and Tools (pp. 19-35). IGI Global. [pdf] [online]
  8. Haag,P., & Spruit,M. (2012). Selecting and implementing Identity and Access Management technologies: the AIM Services Assessment Model. In Sharman,R., Gupta,M., & Das-Smith,S. (Eds.), Digital Identity and Access Management: Technologies and Frameworks (pp. 348–365). IGI Global. [pdf] [online]
  9. Spruit,M., & Slot,G. (In press). ISFAM 2.0: Revisiting the information security assessment model. In Boskovic, M. (Eds.), Security Risks: Assessment, Management and Current Challenges. Nova.
  10. Krens,R., Spruit,M., & Urbanus,N. (2012). Evaluating information security effectiveness with Health Professionals. In Fred,A., Filipe,J., & Gamboa,H. (Eds.), Communications in Computer and Information Science 274, BIOSTEC 2011 (pp. 324–334). Springer. [pdf]
  11. Krens,R., Spruit,M., & Urbanus,N. (2011). Information security in Health care: Evaluation with Health Professionals. Proceedings of the 4th International Conference on Health Informatics (pp. 61–69). HEALTHINF 2011, 26-29 January, 2011, Rome, Italy. [pdf] [online]
  12. Bruijn,W. de, Spruit,M., & Heuvel,M. van der (2008). Identifying the Cost of Security. Proceedings of the AIS SIGSEC Workshop on Information Security & Privacy. Paris, France. [pdf]
  13. Spruit,M., & Roeling,M. (2014). ISFAM: the Information Security Focus Area Maturity model. 22nd European Conference on Information Systems. Tel Aviv, Israel. [pdf] [online]
  14. Peersman,H., Batenburg,R., & Spruit,M. (2013). Preventing credit card data breaches. A framework of critical indicators. In Shahim,Abbas (Ed.), IFIP TC11 Conference on IT Assurance and Audit. VU University Amsterdam. [pdf]
  15. Spruit,M., & Wester,W. (2013). RFID Security and Privacy: Threats and Countermeasures. Technical report UU-CS-2013-001, Department of Information and Computing Sciences, Utrecht University. [pdf] [online]
  16. Reijmer,T., & Spruit,M. (2014). Cybersecurity in the news: A grounded theory approach to better understand its emerging prominence. Technical report UU-CS-2014-006, Department of Information and Computing Sciences, Utrecht University. [online]

IT Strategy

  1. Wijaya,S., Spruit,M., Scheper,W., & Versendaal,J. (2011). Web 2.0-based Webstrategies for Three Different Types of Organizations. Computers in Human Behavior, 27(4), 1399–1407. [ISI impact factor: 3.435] [pdf] [online]
  2. Smeitink,M., & Spruit,M. (2013). Maturity for Sustainability in IT: Introducing the MITS. International Journal of Information Technologies and Systems Approach, 6(1), IT goes Green: Systemic Approaches to IT Policy Making, Design, Evaluation and Management, 39–56. [pdf] [online]
  3. Spruit,M., & Abdat,N. (2012). The Pricing Strategy Guideline Framework for SaaS Vendors. International Journal of Strategic Information Technology and Applications, 3(1), January-March 2012, 38–54. [pdf]
  4. Weeghel,R. van, & Spruit,M. (2012). Corporate Strategy Optimization for Dutch Notaries with the use of IT. International Journal of Computer Information Systems and Industrial Management Applications, 4(1), 317–325. [pdf] [online]
  5. Faase,R., Helms,R., & Spruit,M. (2011). Web 2.0 In The CRM Domain: Defining Social CRM. International Journal of Electronic Customer Relationship Management, 5(1), 1–2. [pdf] [online]
  6. Smeitink,M., & Spruit,M. (2012). IT sustainability measures: the Strategic Green Ontology. In Ordoñez de Pablos,P. (Ed.), Green Technologies and Business Practices: An IT Approach (pp. 36–57). IGI Global. [pdf] [online]
  7. Abdat,N., Spruit,M., & Bos,M. (2011). Software as a Service and the Pricing Strategy for Vendors. In Strader,T. (Ed.), Digital Product Management, Technology and Practice: Interdisciplinary Perspectives, Advances in E-Business Research (AEBR) Book Series (pp. 154–192). IGI Global. [pdf] [online]
  8. Nieuwerth,J., Spruit,M., & Zijlstra,D. (2011). An assessment tool for establishing Infrastructure as a Service capability maturity. In Demirkan,H., Spohrer,J., & Krishna,V. (Eds.), Service Systems Implementation volume of Service Science: Research and Innovations (SSRI) in the Service Economy (pp. 133–144). IGI Global. [pdf] [online]
  9. Tijssen,R., Spruit,M., Ridder,M. van de, & Raaij,B. van (2011). BI-FIT: Aligning Business Intelligence end-users, tasks and technologies. In Cruz-Cunha,M., & Varajão,J. (Eds.), Enterprise Information Systems Design, Implementation and Management: Organizational Applications (pp. 162–177). [pdf] [online]
  10. Knol,P., Spruit,M., & Scheper,W. (2010). The Emerging Value of Social Computing in Business Model Innovation. In Lytras,M., Ordoñez de Pablos,P., Lee,W., & Karwowski,W. (Eds.), Electronic Globalized Business And Sustainable Development Through IT Management: Strategies And Perspectives (pp. 112–134). IGI Global. [pdf] [online]
  11. Wijaya,S., Spruit,M., & Scheper, W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras,M., Damiani,E., & Ordóñez de Pablos,P. (Eds.), Web 2.0: The Business Model (pp. 103–132). Springer. [pdf] [online]
  12. Weeghel,R. van, & Spruit,M. (2010). Using IT to Optimize Corporate Strategy for Dutch Notaries. In Bradley,G. (Ed.), Proceedings of the IADIS International Conference: ICT, Society and Human Beings 2010 (pp. 3–10). 29-31 July 2010, Freiburg, Germany. [pdf]
  13. Knol,P., Spruit,M., & Scheper,W. (2008). Web 2.0 Revealed - Business Model Innovation through Social Computing. Proceedings of the Seventh AIS SIGeBIZ Workshop on e-business. Paris, France. [pdf]
  14. Wijaya,S., Spruit,M., & Scheper,W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras, M., Carroll, J., Damiani,E., & Tennyson,R. (Eds.), Lecture Notes in Computer Science 5288, Emerging Technologies and Information Systems for the Knowledge Society (pp. 373–384). WSKS 2008, September 24-26, 2008, Athens, Greece: Springer. [pdf]

Text Analytics

  1. Menger,V., Scheepers,F., Wijk,L. van, & Spruit,M. (In press). DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics and Informatics. [ISI impact factor: 3.398] [online]
  2. Spruit,M. (2006). Measuring syntactic variation in Dutch dialects. Literary and Linguistic Computing, 21(4), Progress in Dialectometry: Toward Explanation, 493–506. [ISI impact factor: 0.717] [pdf] [online]
  3. Spruit,M., Heeringa,W., & Nerbonne,J. (2009). Associations among linguistic levels. Lingua, 119(11), The forests behind the trees, 1624–1642. [ISI impact factor: 0.578] [pdf] [online]
  4. Spruit,M. (2009). Towards linguistic knowledge discovery in language variation databases. Zeitschrift für Dialektologie und Linguistik, ZDL-Beiheft 138, Low Saxon Dialects across borders, 179–193. [ISI impact factor: 0.188] [pdf] [online]
  5. Syed,S., & Spruit,M. (In press). Full Text or Abstract - Examining Topic Coherence Scores Using Latent Dirichlet Allocation, 4th IEEE International Conference on Data Science and Advanced Analytics. [online]
  6. Spruit,M., & Vlug,B. (2015). Effective and Efficient Classification of Topically-Enriched Domain-Specific Text Snippets. International Journal of Strategic Decision Sciences, 6(3), 1–17. [pdf] [online]
  7. Heeringa,W., Nerbonne,J., Bezooijen,R. van, & Spruit,M. (2007). Geografie en inwoneraantallen als verklarende factoren voor variatie in het Nederlandse dialectgebied. Tijdschrift voor Nederlandse taal- en letterkunde, 123(1), Kwantitatieve benaderingen in de taal- en letterkunde, 70–82. [pdf] [online]
  8. Spruit,M. (2008). Quantitative perspectives on syntactic variation in Dutch dialects. LOT Dissertation Series 174, Doctoral disseration, University of Amsterdam, The Netherlands, Utrecht: LOT. [pdf] [online]
  9. Otten,S., & Spruit,M. (2011). Linguistic engineering and its applicability to business intelligence: towards an integrated framework. International Conference on Knowledge Discovery and Information Retrieval (pp. 460–464). Paris, France: SciTePress. [pdf] [online]
  10. Spruit,M. (2007). Discovery of association rules between syntactic variables: Data mining the Syntactic atlas of the Dutch dialects. In Dirix,P., Schuurman,I., Vandeghinste,V., & Eynde,F. van (Eds.), Computational Linguistics in the Netherlands 2006: Selected papers from the seventeenth CLIN meeting (pp. 83–98). Utrecht: LOT Occasional Series. [pdf] [online]
  11. Spruit,M. (2005). Classifying Dutch dialects using a syntactic measure: The perceptual Daan and Blok dialect map revisited. Linguistics in the Netherlands 2005 (pp. 179–190). Amsterdam: John Benjamins. [pdf] [online]
  12. Syed,S., Spruit,M., & Borit,M. (2016). Bootstrapping a Semantic Lexicon on Verb Similarities. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 189–196). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf] [online]
  13. Spruit,M., & Cepoi,A. (2015). CIRA: A competitive intelligence reference architecture for dynamic solutions. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 249–258). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. [pdf] [online]

Cloud Computing

  1. Baars,T., & Spruit,M. (2012). Analysing the Security Risks of Cloud Adoption Using the SeCA Model: A Case Study. Journal of Universal Computer Science, 18(12), Security in Information Systems, 1662–1678. [ISI impact factor: 0.466] [pdf] [online]
  2. Baars,T., & Spruit,M. (2012). Designing a Secure Cloud Architecture: The SeCA Model. International Journal of Information Security and Privacy, 6(1), January-March 2012, 14–32. [pdf] [online]
  3. Spruit,M., & Abdat,N. (2012). The Pricing Strategy Guideline Framework for SaaS Vendors. International Journal of Strategic Information Technology and Applications, 3(1), January-March 2012, 38–54. [pdf]
  4. Baars,T., & Spruit,M. (2013). The SeCA model: Ins & Outs of a Secure Cloud Architecture. In Rosado,D., Mellado,D., Fernandez-Medina,E., & Piattini,M. (Eds.), Security Engineering for Cloud Computing: Approaches and Tools (pp. 19-35). IGI Global. [pdf] [online]
  5. Abdat,N., Spruit,M., & Bos,M. (2011). Software as a Service and the Pricing Strategy for Vendors. In Strader,T. (Ed.), Digital Product Management, Technology and Practice: Interdisciplinary Perspectives, Advances in E-Business Research (AEBR) Book Series (pp. 154–192). IGI Global. [pdf] [online]
  6. Nieuwerth,J., Spruit,M., & Zijlstra,D. (2011). An assessment tool for establishing Infrastructure as a Service capability maturity. In Demirkan,H., Spohrer,J., & Krishna,V. (Eds.), Service Systems Implementation volume of Service Science: Research and Innovations (SSRI) in the Service Economy (pp. 133–144). IGI Global. [pdf] [online]
  7. Polman,T., & Spruit,M. (2012). Integrating knowledge engineering and data mining in e-commerce fraud prediction. In Ruan,D., Tennyson,R., Ordonez De Pablos,P., García Peñalvo,F., & Rusu,L. (Eds.), Communications in Computer and Information Science 278, Information Systems, E-learning and Knowledge Management Research for the Knowledge Society: The era of Social Networks, Web 2.0 and Open Source Paradigms (pp. 460-466). Mykonos, 21-23 September 2011: Springer. [pdf] [online]

Knowledge Management

  1. Bebensee,T., Helms,R., & Spruit,M. (2011). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. Electronic Journal of Knowledge Management, 9(1), ECKM Special Issue, 1–9. [pdf] [online]
  2. Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. In Gurteen,David (Ed.), Leading Issues in Social Knowledge Management (pp. 22-41). Academic Publishing International. [pdf] [online]
  3. Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring the Impact of Web 2.0 on Knowledge Management. In Boughzala,I., & Dudezert,A. (Eds.), Knowledge Management 2.0: Organizational Models and Enterprise Strategies (pp. 17–43). IGI Global. [pdf] [online]
  4. Pachidi,S., & Spruit,M. (2012). Mining Performance Knowledge in User Logs. Proceedings of the 5th World Summit on the Knowledge Society (pp. Paper 47). WSKS 2012, June 20-22, 2012, Rome, Italy. [pdf] [online]
  5. Bebensee,T., Helms,R., & Spruit,M. (2010). Exploring Web 2.0 Applications as a Mean of Bolstering Up Knowledge Management in Non-Profit Organizations. 11th European Conference on Knowledge Management (pp. 65–73). ECKM, 2-3 September 2010, Universidade Lusíada de Vila Nova de Famalicão, Famalicão, Portugal. [pdf]
  6. Levantakis,T., Helms,R., & Spruit,M. (2008). Developing a Reference Method for Knowledge Auditing. In Yamagchi,T. (Ed.), Lecture Notes in Artificial Intelligence 5345, Proceedings of the 7th Conference of Practical Aspects on Knowledge Management (pp. 147–159), Appendices are available at http://m.spru.it/files/lhs2008pakm-appendix.pdf?attredirects=0&d=1. PAKM 2008, November 21-23, 2008, Yokohama, Japan: Springer. [pdf]

Software Product Management

  1. Bekkers,W., & Spruit,M. (2010). The Situational Assessment Method Put to the Test: Improvements Based on Case Studies. 4th International Workshop on Software Product Management (pp. 7–16). IWSPM, September 27, 2010, Sydney, Australia. [pdf] [online]
  2. Bekkers,W., Spruit,M., Weerd,I. van de, Vliet,R. van, & Mahieu,A. (2010). A Situational Assessment Method For Software Product Management. Proceedings of the 18th European Conference on Information Systems. Pretoria, South Africa. [pdf] [online]
  3. Bekkers,W., Weerd,I. van de, Spruit,M., & Brinkkemper,S. (2010). A Framework for Process Improvement in Software Product Management. Systems. In Riel,A., O'Connor,R., Tichkiewitch,S., & Messnarz,R. (Eds.), Communications in Computer and Information Science 99, Software and Services Process Improvement - Proceedings of the 17th European Conference (pp. 1–12). EuroSPI 2010, September 1-3, 2010, Grenoble, France: Springer. [pdf] [online]
  4. Bekkers,W., Spruit,M., Weerd,I. van de, Vliet,R. van, & Mahieu,A. (2010). Modelmatig verbeteren van product software management. Informatie, 8(12), 8–14. [pdf]

Education

  1. Spruit,M., & Adriana,T. (2015). Quantifying education quality in secondary schools. International Journal of Knowledge Society Research, 6(1), 55-87. [pdf] [online]
  2. Haasbroek,J., & Spruit,M. (2015). De ideale docent anno 2015: Docentgedrag en studenttevredenheid binnen het universitaire bachelor onderwijs. Onderwijs Research Dagen . Leiden. [pdf]
  3. Spruit,M., Visee,Y., & Jong,E. de (2015). DIA: het Docent-ICT Adoptie raamwerk - Verbinden van onderwijsvormen en onderwijstechnieken via onderwijstaken. Onderwijs Research Dagen . Leiden. [pdf]

Data analytics

  1. Baars,T., Mijnhardt,F., Vlaanderen,K., & Spruit,M. (2016). An Analytics Approach to Adaptive Maturity Models using Organizational Characteristics. Decision Analytics, 3(5). [online]

IT Sustainability

  1. Smeitink,M., & Spruit,M. (2013). Maturity for Sustainability in IT: Introducing the MITS. International Journal of Information Technologies and Systems Approach, 6(1), IT goes Green: Systemic Approaches to IT Policy Making, Design, Evaluation and Management, 39–56. [pdf] [online]

Knowledge Discovery

  1. Buijs,M., & Spruit,M. (2015). Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine. In Fred,A., Dietz,J., Aveiro,D., Liu,K., & Filipe,J. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, Revised Selected Papers (pp. 118–131). ScitePress. [online]

Information Security

  1. Toledo,C. van, & Spruit,M. (2016). Adopting privacy regulations in a data warehouse: A case of the anonimity versus utility dilemma. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 67–72). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf]

Health Informatics

  1. Shen, Z., Meulendijk,M., Knol,W., Huibers,L., Wilting,I., Jansen,P., & Spruit,M. (2016). STRIPA Investigational Medical Device Dossier (IMDD). version 2.03, Department of Information and Computing Sciences, Utrecht University.