Antonopoulos, C. N., & Kakisis, J. D.(2019). Applied statistics in vascular surgery Part 2: Correlation analysis and its common misconceptions. In Hellenic Journal of Vascular and Endovascular Surgery, 1(2),88-90.
Batini, C., & Scannapieco, M. (2016). Information quality dimensions for maps and texts. In Data and Information Quality. 53-86. Springer, Cham.
Bullemer, P. T., & Hajdukiewicz, J. R. (2004). A study of effective procedural practices in refining and chemical operations. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, CA: Los Angeles.
Eppler, M. J. (2001). A generic framework for information quality in knowledge-intensive processes. In Proceedings of the Sixth International Conference on Information Quality, MIT.
Ferrari, A., Spagnolo, G. O., Fiscella, A., & Parente, G. (2019). QuOD: An NLP Tool to Improve the Quality of Business Process Descriptions. In From Software Engineering to Formal Methods and Tools, and Back (pp. 267-281).
Ferrari, A., Witschel, H. F., Spagnolo, G. O., & Gnesi, S. (2018). Improving the quality of business process descriptions of public administrations: resources and research challenges. Business Process Management Journal, 24(1), 49-66.
Grudzień, Ł. (2014). Evaluation of documents’ quality in quality management systems. Research in Logistics & Production, 4(1), 81-90.
Grudzień, Ł., & Hamrol, A. (2016). Information quality in design process documentation of quality management systems. International Journal of Information Management, 36(4), 599-606.
Haug, A. (2015). Work instruction quality in industrial management. International Journal of Industrial Ergonomics, 50, 170-177.
Haug, A., Zachariassen, F., & Van Liempd, D. (2011). The costs of poor data quality. Journal of Industrial Engineering and Management, 4(2), 168-193.
Holmgren, M. (2005). Maintenance-related losses at the Swedish Rail. Journal of Quality in Maintenance Engineering, 11(1), 5-18.
Huang, N., & Inman, R. (2010). Product quality and plant build complexity. International Journal of Production Research, 48(11), 3105-3128.
Massey, A. K., Rutledge, R. L., Antón, A. I., and Swire, P. P. (2014). Identifying and classifying ambiguity for regulatory requirements. In 2014 IEEE 22nd International Requirements Engineering Conference (RE). Karlskrona.
Oakland, J. (2011). Leadership and policy deployment: the backbone of TQM. Total Quality Management & Business Excellence, 22(5), 517-534.
Patel, S., Drury, C. G., & Lofgren, J. (1994). Design of work cards for aircraft inspection. Applied Ergonomics, 25(5), 283-293.
Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics, 20, 53-65.
Silva, T. S., Avila, D. T., Flesch, J. A., Peres, S. M., Mendling, J., & Thom, L. H. (2019, October). A Service-Oriented Architecture for Generating Sound Process Descriptions. In IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC) (pp. 1-10).
Silva, T. S., Thom, L. H., Weber, A., de Oliveira, J. P. M., & Fantinato, M. (2018). Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process Descriptions. In OTM Confederated International Conferences "On the Move to Meaningful Internet Systems". Springer, Cham.
Torres, R., & Sidorova, A. (2019). Reconceptualizing information quality as effective use in the context of business intelligence and analytics. International Journal of Information Management, 49, 316-329.
Verma, J. (2012). Data analysis in management with SPSS software: Springer Science & Business Media.
Vom Brocke, J., & Mendling, J. (2018). Business process management cases. Digital innovation and business transformation in practice. Springer, Cham.
Zhang, R., Indulska, M., & Sadiq, S. (2019). Discovering data quality problems. Business & Information Systems Engineering, 61(5), 575-593.