{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T05:58:56Z","timestamp":1785218336346,"version":"3.55.0"},"publisher-location":"Cham","reference-count":60,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032043740","type":"print"},{"value":"9783032043757","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T00:00:00Z","timestamp":1757462400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T00:00:00Z","timestamp":1757462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-04375-7_14","type":"book-chapter","created":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T17:28:26Z","timestamp":1757438906000},"page":"219-237","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ReACMe: Repetition Aware Clustering Methodology for\u00a0Business Process Log Collections"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0903-3373","authenticated-orcid":false,"given":"Caterina","family":"Luciani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6879-6066","authenticated-orcid":false,"given":"Luigi","family":"Bucchicchio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1738-9043","authenticated-orcid":false,"given":"Andrea","family":"Morichetta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8545-3740","authenticated-orcid":false,"given":"Marco","family":"Piangerelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2840-7561","authenticated-orcid":false,"given":"Andrea","family":"Polini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"G\u00fcnther, C.W., van\u00a0der Aalst, W.M.: A generic import framework for process event logs. In: International Conference on Business Process Management, pp. 81\u201392. Springer (2006)","DOI":"10.1007\/11837862_10"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Dumas, M., Van\u00a0der Aalst, W.M., Ter\u00a0Hofstede, A.H.: Process-Aware Information Systems: Bridging People and Software through Process Technology. Wiley (2005)","DOI":"10.1002\/0471741442"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Perez-Castillo, R., Weber, B., Pinggera, J., Zugal, S., de\u00a0Guzm\u00e1n, I.G.R., Piattini, M.: Generating event logs from non-process-aware systems enabling business process mining. Enterp. Inf. Syst. 5(3), 301\u2013335 (20a11)","DOI":"10.1080\/17517575.2011.587545"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Van\u00a0der Aalst, W.M.: Process-aware information systems: lessons to be learned from process mining. In: Transactions on Petri Nets and other Models of Concurrency II, pp. 1\u201326. Springer (2009)","DOI":"10.1007\/978-3-642-00899-3_1"},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/S0925-5273(03)00102-6","volume":"90","author":"RS Aguilar-Saven","year":"2004","unstructured":"Aguilar-Saven, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90(2), 129\u2013149 (2004)","journal-title":"Int. J. Prod. Econ."},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Rubin, V., Lomazova, I., Aalst, W.M.V.D.: Agile development with software process mining. In: Proceedings of the 2014 International Conference on Software and System Process, pp. 70\u201374 (2014)","DOI":"10.1145\/2600821.2600842"},{"issue":"2","key":"14_CR7","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.compind.2011.12.003","volume":"63","author":"R Dijkman","year":"2012","unstructured":"Dijkman, R., La Rosa, M., Reijers, H.: Managing large collections of business process models-current techniques and challenges. Comput. Ind. 63(2), 91\u201397 (2012)","journal-title":"Comput. Ind."},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Cecconi, A., Augusto, A., Di\u00a0Ciccio, C.: Detection of statistically significant differences between process variants through declarative rules. In: International Conference on Business Process Management, pp. 73\u201391. Springer (2021)","DOI":"10.1007\/978-3-030-85440-9_5"},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"106557","DOI":"10.1016\/j.knosys.2020.106557","volume":"211","author":"F Taymouri","year":"2021","unstructured":"Taymouri, F., La Rosa, M., Dumas, M., Maggi, F.M.: Business process variant analysis: survey and classification. Knowl.-Based Syst. 211, 106557 (2021)","journal-title":"Knowl.-Based Syst."},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Taymouri, F., Rosa, M.L., Carmona, J.: Business process variant analysis based on mutual fingerprints of event logs. In: International Conference on Advanced Information Systems Engineering, pp. 299\u2013318. Springer (2020)","DOI":"10.1007\/978-3-030-49435-3_19"},{"issue":"10","key":"14_CR11","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.3390\/app7101023","volume":"7","author":"M Arriagada-Ben\u00edtez","year":"2017","unstructured":"Arriagada-Ben\u00edtez, M., Sep\u00falveda, M., Munoz-Gama, J., Buijs, J.C.: Strategies to automatically derive a process model from a configurable process model based on event data. Appl. Sci. 7(10), 1023 (2017)","journal-title":"Appl. Sci."},{"issue":"1","key":"14_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3041957","volume":"50","author":"ML Rosa","year":"2017","unstructured":"Rosa, M.L., Aalst, W.M.V.D., Dumas, M., Milani, F.P.: Business process variability modeling: a survey. ACM Comput. Surv. (CSUR) 50(1), 1\u201345 (2017)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Buijs, J.C., van Dongen, B.F., van\u00a0der Aalst, W.M.: Mining configurable process models from collections of event logs. In: Business Process Management, pp. 33\u201348. Springer (2013)","DOI":"10.1007\/978-3-642-40176-3_5"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Corradini, F., Luciani, C., Morichetta, A., Piangerelli, M., Polini, A.: TLV$$-$$diss$$_{\\gamma}$$: a dissimilarity measure for public administration process logs. In: International Conference on Electronic Government, pp. 301\u2013314. Springer (2021)","DOI":"10.1007\/978-3-030-84789-0_22"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Schubert, E., Rousseeuw, P.J.: Faster k-medoids clustering: improving the pam, clara, and clarans algorithms. In: International Conference on Similarity Search and Applications, pp. 171\u2013187. Springer (2019)","DOI":"10.1007\/978-3-030-32047-8_16"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Dumas, M., La\u00a0Rosa, M., Mendling, J., Reijers, H.A., et\u00a0al.: Fundamentals of business process management, vol.\u00a01. Springer (2013)","DOI":"10.1007\/978-3-642-33143-5_1"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Van Der\u00a0Aalst, W.: Data science in action. In: Process Mining, pp. 3\u201323. Springer (2016)","DOI":"10.1007\/978-3-662-49851-4_1"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Sta\u0144czyk, U., Jain, L.C.: Feature selection for data and pattern recognition: an introduction. In: Feature Selection for Data and Pattern Recognition, pp.\u00a01\u20137. Springer (2015)","DOI":"10.1007\/978-3-662-45620-0_1"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Vogelaar, J., Verbeek, H., Luka, B., van\u00a0der Aalst, W.M.: Comparing business processes to determine the feasibility of configurable models: a case study. In: Business Process Management Workshops: BPM 2011 International Workshops, Clermont-Ferrand, France, 29 August 2011, Revised Selected Papers, Part II 9, pp. 50\u201361. Springer (2012)","DOI":"10.1007\/978-3-642-28115-0_6"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Van Der\u00a0Aalst, W.M.: Configurable services in the cloud: supporting variability while enabling cross-organizational process mining. In: OTM Confederated International Conferences On the Move to Meaningful Internet Systems, pp. 8\u201325. Springer (2010)","DOI":"10.1007\/978-3-642-16934-2_5"},{"key":"14_CR21","unstructured":"Schunselaar, D.M., Verbeek, H., Van Der\u00a0Aalst, W.M., Reijers, H.A.: Petra: a tool for analysing a process family. In: International Workshop on Petri Nets and Software Engineering 2014 (PNSE\u201914), 23\u201324 June 2014, Tunis, Tunesia, pp. 269\u2013288. CEUR-WS. org (2014)"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Schunselaar, D.M., Verbeek, H., Reijers, H.A., van\u00a0der Aalst, W.M.: Yawl in the cloud: supporting process sharing and variability. In: Business Process Management Workshops: BPM 2014 International Workshops, Eindhoven, The Netherlands, 7\u20138 September 2014, Revised Papers 12, pp. 367\u2013379. Springer (2015)","DOI":"10.1007\/978-3-319-15895-2_31"},{"key":"14_CR23","doi-asserted-by":"publisher","unstructured":"Schunselaar, D.M.M., Verbeek, E., van der Aalst, W.M.P., Raijers, H.A.: Creating sound and reversible configurable process models using CoSeNets. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds.) BIS 2012. LNBIP, vol. 117, pp. 24\u201335. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30359-3_3","DOI":"10.1007\/978-3-642-30359-3_3"},{"key":"14_CR24","unstructured":"Buijs, J.C.: Flexible evolutionary algorithms for mining structured process models. Ph.D. thesis, Technische Universiteit Eindhoven (2014)"},{"key":"14_CR25","unstructured":"Loiola, E.M., da\u00a0Silveira, D.S., Ara\u00fajo, J., Moreira, A.: Business process families: a case study in the brazilian public sector. In: CAiSE Industry Track. Citeseer (2016)"},{"key":"14_CR26","doi-asserted-by":"crossref","unstructured":"Cognini, R., Corradini, F., Polini, A., Re, B.: Extending feature models to express variability in business process models. In: Advanced Information Systems Engineering Workshops: CAiSE 2015 International Workshops, Stockholm, Sweden, 8\u20139 June 2015, Proceedings 27, pp. 245\u2013256. Springer (2015)","DOI":"10.1007\/978-3-319-19243-7_24"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Cognini, R., Corradini, F., Polini, A., Re, B.: Business process feature model: an approach to deal with variability of business processes. In: Domain-Specific Conceptual Modeling: Concepts, Methods and Tools, pp. 171\u2013194 (2016)","DOI":"10.1007\/978-3-319-39417-6_8"},{"key":"14_CR28","doi-asserted-by":"crossref","unstructured":"Cognini, R., Polini, A., Polzonetti, A., Re, B.: Bpfm: a notation and an approach to homogenize variable business processes for public services. In: 2015 IIAI 4th International Congress on Advanced Applied Informatics, pp. 34\u201339. IEEE (2015)","DOI":"10.1109\/IIAI-AAI.2015.179"},{"issue":"8","key":"14_CR29","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1093\/comjnl\/41.8.578","volume":"41","author":"C Fraley","year":"1998","unstructured":"Fraley, C., Raftery, A.E.: How many clusters? which clustering method? answers via model-based cluster analysis. Comput. J. 41(8), 578\u2013588 (1998)","journal-title":"Comput. J."},{"key":"14_CR30","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.neucom.2017.06.053","volume":"267","author":"A Saxena","year":"2017","unstructured":"Saxena, A., et al.: A review of clustering techniques and developments. Neurocomputing 267, 664\u2013681 (2017)","journal-title":"Neurocomputing"},{"issue":"3","key":"14_CR31","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu, R., Wunsch, D.: Survey of clustering algorithms. IEEE Trans. Neural Networks 16(3), 645\u2013678 (2005)","journal-title":"IEEE Trans. Neural Networks"},{"key":"14_CR32","doi-asserted-by":"crossref","unstructured":"Alelyani, S., Tang, J., Liu, H.: Feature selection for clustering: a review. Data Clustering: Algorithms Appl. 29(1) (2013)","DOI":"10.1201\/9781315373515-2"},{"key":"14_CR33","doi-asserted-by":"crossref","unstructured":"Verleysen, M., Fran\u00e7ois, D.: The curse of dimensionality in data mining and time series prediction. In: International Work-Conference on Artificial Neural Networks, pp. 758\u2013770. Springer (2005)","DOI":"10.1007\/11494669_93"},{"key":"14_CR34","doi-asserted-by":"crossref","unstructured":"Khalid, S., Khalil, T., Nasreen, S.: A survey of feature selection and feature extraction techniques in machine learning. In: 2014 Science and Information Conference, pp. 372\u2013378. IEEE (2014)","DOI":"10.1109\/SAI.2014.6918213"},{"issue":"3","key":"14_CR35","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. (CSUR) 31(3), 264\u2013323 (1999)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"14_CR36","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.H., Friedman, J.H.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, vol.\u00a02. Springer (2009)","DOI":"10.1007\/978-0-387-84858-7"},{"issue":"2","key":"14_CR37","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1023\/A:1012801612483","volume":"17","author":"M Halkidi","year":"2001","unstructured":"Halkidi, M., Batistakis, Y., Vazirgiannis, M.: On clustering validation techniques. J. Intell. Inf. Syst. 17(2), 107\u2013145 (2001)","journal-title":"J. Intell. Inf. Syst."},{"key":"14_CR38","doi-asserted-by":"crossref","unstructured":"Song, M., G\u00fcnther, C.W., Van\u00a0der Aalst, W.M.: Trace clustering in process mining. In: International Conference on Business Process Management, pp. 109\u2013120. Springer (2008)","DOI":"10.1007\/978-3-642-00328-8_11"},{"key":"14_CR39","doi-asserted-by":"crossref","unstructured":"Zandkarimi, F., Rehse, J.R., Soudmand, P., Hoehle, H.: A generic framework for trace clustering in process mining. In: 2020 2nd International Conference on Process Mining (ICPM), pp. 177\u2013184. IEEE (2020)","DOI":"10.1109\/ICPM49681.2020.00034"},{"key":"14_CR40","doi-asserted-by":"crossref","unstructured":"Lu, X., Tabatabaei, S.A., Hoogendoorn, M., Reijers, H.A.: Trace clustering on very large event data in healthcare using frequent sequence patterns. In: International Conference on Business Process Management, pp. 198\u2013215. Springer (2019)","DOI":"10.1007\/978-3-030-26619-6_14"},{"key":"14_CR41","doi-asserted-by":"crossref","unstructured":"Zelst, S.J.v., Cao, Y.: A generic framework for attribute-driven hierarchical trace clustering. In: International Conference on Business Process Management, pp. 308\u2013320. Springer (2020)","DOI":"10.1007\/978-3-030-66498-5_23"},{"key":"14_CR42","doi-asserted-by":"crossref","unstructured":"Bose, R., van\u00a0der Aalst, W.M.: Trace clustering based on conserved patterns: towards achieving better process models. In: International Conference on Business Process Management, pp. 170\u2013181. Springer (2009)","DOI":"10.1007\/978-3-642-12186-9_16"},{"key":"14_CR43","doi-asserted-by":"crossref","unstructured":"Luengo, D., Sep\u00falveda, M.: Applying clustering in process mining to find different versions of a business process that changes over time. In: International Conference on Business Process Management, pp. 153\u2013158. Springer (2011)","DOI":"10.1007\/978-3-642-28108-2_15"},{"issue":"8","key":"14_CR44","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.1109\/TKDE.2006.123","volume":"18","author":"G Greco","year":"2006","unstructured":"Greco, G., Guzzo, A., Pontieri, L., Sacca, D.: Discovering expressive process models by clustering log traces. IEEE Trans. Knowl. Data Eng. 18(8), 1010\u20131027 (2006)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"14_CR45","doi-asserted-by":"crossref","unstructured":"Medeiros, A.K.A.D., et al.: Process mining based on clustering: a quest for precision. In: International Conference on Business Process Management, pp. 17\u201329. Springer (2007)","DOI":"10.1007\/978-3-540-78238-4_4"},{"issue":"9","key":"14_CR46","doi-asserted-by":"publisher","first-page":"3722","DOI":"10.1016\/j.eswa.2012.12.078","volume":"40","author":"M Song","year":"2013","unstructured":"Song, M., Yang, H., Siadat, S.H., Pechenizkiy, M.: A comparative study of dimensionality reduction techniques to enhance trace clustering performances. Expert Syst. Appl. 40(9), 3722\u20133737 (2013)","journal-title":"Expert Syst. Appl."},{"key":"14_CR47","doi-asserted-by":"crossref","unstructured":"Jung, J.Y., Bae, J.: Workflow clustering method based on process similarity. In: International Conference on Computational Science and Its Applications, pp. 379\u2013389. Springer (2006)","DOI":"10.1007\/11751588_40"},{"key":"14_CR48","unstructured":"Jung, J.Y., Bae, J., Liu, L.: Hierarchical clustering of business process models. Int. J. of Innov. Comput. Inf. Control 5(12), 1349\u20134198 (2009)"},{"key":"14_CR49","doi-asserted-by":"crossref","unstructured":"Koninck, P.D., Nelissen, K., Baesens, B., Snoeck, M., Weerdt, J.D., et\u00a0al.: An approach for incorporating expert knowledge in trace clustering. In: International Conference on Advanced Information Systems Engineering, pp. 561\u2013576. Springer (2017)","DOI":"10.1007\/978-3-319-59536-8_35"},{"key":"14_CR50","doi-asserted-by":"crossref","unstructured":"Ghahfarokhi, A.F., Akoochekian, F., Zandkarimi, F., van\u00a0der Aalst, W.M.: Clustering object-centric event logs. arXiv preprint arXiv:2207.12764 (2022)","DOI":"10.5220\/0012123900003541"},{"key":"14_CR51","doi-asserted-by":"crossref","unstructured":"Barbon\u00a0Jr., S., Ceravolo, P., Damiani, E., Marques\u00a0Tavares, G.: Evaluating trace encoding methods in process mining. In: International Symposium: From Data to Models and Back, pp. 174\u2013189. Springer (2020)","DOI":"10.1007\/978-3-030-70650-0_11"},{"key":"14_CR52","doi-asserted-by":"crossref","unstructured":"Bose, R.J.C., Van\u00a0der Aalst, W.M.: Context aware trace clustering: Towards improving process mining results. In: proceedings of the 2009 SIAM International Conference on Data Mining, pp. 401\u2013412. SIAM (2009)","DOI":"10.1137\/1.9781611972795.35"},{"key":"14_CR53","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"14_CR54","doi-asserted-by":"publisher","unstructured":"Verbeek, E.: Process discovery contest 2020 (2021). https:\/\/doi.org\/10.4121\/14626020.v1, https:\/\/data.4tu.nl\/articles\/dataset\/Process_Discovery_Contest_2020\/14626020\/1","DOI":"10.4121\/14626020.v1"},{"key":"14_CR55","unstructured":"Van\u00a0Oirschot, Y., van Dongen, B., Buijs, J., Dijkman, R.: Using trace clustering for configurable process discovery explained by event log data. university of technology, master of business information systems, department of mathematics and computer science (2014)"},{"key":"14_CR56","doi-asserted-by":"crossref","unstructured":"Buijs, J.C., van Dongen, B.F., van\u00a0der Aalst, W.M.: Towards cross-organizational process mining in collections of process models and their executions. In: Business Process Management Workshops: BPM 2011 International Workshops, Clermont-Ferrand, France, 29 August 2011, Revised Selected Papers, Part II 9, pp. 2\u201313. Springer (2012)","DOI":"10.1007\/978-3-642-28115-0_2"},{"key":"14_CR57","doi-asserted-by":"crossref","unstructured":"D\u00f6hring, M., Reijers, H.A., Smirnov, S.: Configuration vs. adaptation for business process variant maintenance: an empirical study. Inf. Syst. 39, 108\u2013133 (2014)","DOI":"10.1016\/j.is.2013.06.002"},{"key":"14_CR58","unstructured":"Leemans, S.J.: Robust process mining with guarantees. In: BPM (Dissertation\/Demos\/Industry), pp. 46\u201350. Springer (2018)"},{"key":"14_CR59","doi-asserted-by":"crossref","unstructured":"Corradini, F., Luciani, C., Morichetta, A., Piangerelli, M.: Managing variability of large public administration event log collections: Dealing with concept drift. In: International Conference on Business Informatics Research, pp. 31\u201344. Springer (2023)","DOI":"10.1007\/978-3-031-43126-5_3"},{"key":"14_CR60","first-page":"2022","volume":"222","author":"F Corradini","year":"2022","unstructured":"Corradini, F., Luciani, C., Morichetta, A., Piangerelli, M., Polini, A.: Label-independent feature engineering-based clustering in public administration event logs. EGOV-CeDEM-ePart 222, 2022 (2022)","journal-title":"EGOV-CeDEM-ePart"}],"container-title":["Lecture Notes in Business Information Processing","Perspectives in Business Informatics Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04375-7_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T05:07:44Z","timestamp":1785215264000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04375-7_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,10]]},"ISBN":["9783032043740","9783032043757"],"references-count":60,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04375-7_14","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,10]]},"assertion":[{"value":"10 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Business Informatics Research","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Riga","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Latvia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bir2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bir2025.rtu.lv\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}