[{"title":"Systematizing the lexicon of platforms in information systems: a data-driven study","year":"2022","publication_identifier":{"issn":["1019-6781","1422-8890"]},"author":[{"id":"49160","full_name":"Bartelheimer, Christian","first_name":"Christian","last_name":"Bartelheimer"},{"id":"64394","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","first_name":"Philipp"},{"first_name":"Hedda","last_name":"Lüttenberg","full_name":"Lüttenberg, Hedda"},{"full_name":"Beverungen, Daniel","first_name":"Daniel","last_name":"Beverungen","id":"59677"}],"date_updated":"2024-04-18T12:40:34Z","publication_status":"published","intvolume":"        32","article_type":"original","language":[{"iso":"eng"}],"doi":"10.1007/s12525-022-00530-6","publication":"Electronic Markets","abstract":[{"text":"While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.","lang":"eng"}],"file":[{"date_created":"2024-04-18T12:39:00Z","creator":"dabe","file_id":"53573","success":1,"content_type":"application/pdf","file_name":"EM - Lexicon of Platform Terms.pdf","access_level":"closed","file_size":1262427,"relation":"main_file","date_updated":"2024-04-18T12:39:00Z"}],"date_created":"2023-01-10T10:00:55Z","type":"journal_article","keyword":["Platform","Text mining","Machine learning","Data communications","Interpretive research","Systems design and implementation"],"department":[{"_id":"526"}],"status":"public","jel":["L86"],"has_accepted_license":"1","page":"375-396","_id":"35732","publisher":"Springer Science and Business Media LLC","ddc":["380"],"user_id":"59677","volume":32,"file_date_updated":"2024-04-18T12:39:00Z","citation":{"ama":"Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. 2022;32:375-396. doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>","bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, vol. 32, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i> 32 (2022): 375–96. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>.","apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., &#38; Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>, <i>32</i>, 375–396. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>","ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” <i>Electronic Markets</i>, vol. 32, pp. 375–396, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>."},"quality_controlled":"1"},{"main_file_link":[{"url":"http://www.wi-lex.de/lexikon/technologien-methoden/text-mining/text-mining/?searchterm=text%20mining","open_access":"1"}],"language":[{"iso":"ger"}],"date_updated":"2022-01-06T06:51:02Z","publication_status":"published","title":"Text Mining","year":"2016","author":[{"last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela","full_name":"Geierhos, Michaela","id":"42496"}],"keyword":["Text Mining"],"type":"encyclopedia_article","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"date_created":"2018-01-31T14:06:36Z","publication":"Enzyklopädie der Wirtschaftsinformatik","user_id":"13929","editor":[{"last_name":"Gronau","first_name":"Norbert","full_name":"Gronau, Norbert"},{"full_name":"Becker, Jörg","first_name":"Jörg","last_name":"Becker"},{"full_name":"Sinz, Elmar","first_name":"Elmar","last_name":"Sinz"},{"first_name":"Leena","last_name":"Suhl","full_name":"Suhl, Leena"},{"full_name":"Leimeister, Jan M.","first_name":"Jan M.","last_name":"Leimeister"}],"_id":"1154","publisher":"GITO-Verlag","edition":"9","status":"public","oa":"1","place":"Berlin, Germany","quality_controlled":"1","citation":{"chicago":"Geierhos, Michaela. “Text Mining.” In <i>Enzyklopädie der Wirtschaftsinformatik</i>, edited by Norbert Gronau, Jörg Becker, Elmar Sinz, Leena Suhl, and Jan M. Leimeister, 9th ed. Berlin, Germany: GITO-Verlag, 2016.","ama":"Geierhos M. Text Mining. In: Gronau N, Becker J, Sinz E, Suhl L, Leimeister JM, eds. <i>Enzyklopädie der Wirtschaftsinformatik</i>. 9th ed. Berlin, Germany: GITO-Verlag; 2016.","short":"M. Geierhos, in: N. Gronau, J. Becker, E. Sinz, L. Suhl, J.M. Leimeister (Eds.), Enzyklopädie der Wirtschaftsinformatik, 9th ed., GITO-Verlag, Berlin, Germany, 2016.","bibtex":"@inbook{Geierhos_2016, place={Berlin, Germany}, edition={9}, title={Text Mining}, booktitle={Enzyklopädie der Wirtschaftsinformatik}, publisher={GITO-Verlag}, author={Geierhos, Michaela}, editor={Gronau, Norbert and Becker, Jörg and Sinz, Elmar and Suhl, Leena and Leimeister, Jan M.Editors}, year={2016} }","mla":"Geierhos, Michaela. “Text Mining.” <i>Enzyklopädie der Wirtschaftsinformatik</i>, edited by Norbert Gronau et al., 9th ed., GITO-Verlag, 2016.","apa":"Geierhos, M. (2016). Text Mining. In N. Gronau, J. Becker, E. Sinz, L. Suhl, &#38; J. M. Leimeister (Eds.), <i>Enzyklopädie der Wirtschaftsinformatik</i> (9th ed.). Berlin, Germany: GITO-Verlag.","ieee":"M. Geierhos, “Text Mining,” in <i>Enzyklopädie der Wirtschaftsinformatik</i>, 9th ed., N. Gronau, J. Becker, E. Sinz, L. Suhl, and J. M. Leimeister, Eds. Berlin, Germany: GITO-Verlag, 2016."}},{"date_updated":"2022-01-06T07:01:18Z","publication_identifier":{"issn":["18670202"]},"author":[{"first_name":"Elena","last_name":"Gorbacheva","full_name":"Gorbacheva, Elena"},{"full_name":"Stein, Armin","first_name":"Armin","last_name":"Stein"},{"full_name":"Schmiedel, Theresa","first_name":"Theresa","last_name":"Schmiedel"},{"id":"72849","full_name":"Müller, Oliver","first_name":"Oliver","last_name":"Müller"}],"status":"public","year":"2016","title":"The Role of Gender in Business Process Management Competence Supply","doi":"10.1007/s12599-016-0428-2","user_id":"72849","_id":"4690","language":[{"iso":"eng"}],"page":"213--231","extern":"1","citation":{"ieee":"E. Gorbacheva, A. Stein, T. Schmiedel, and O. Müller, “The Role of Gender in Business Process Management Competence Supply,” <i>Business and Information Systems Engineering</i>, no. 3, pp. 213--231, 2016.","mla":"Gorbacheva, Elena, et al. “The Role of Gender in Business Process Management Competence Supply.” <i>Business and Information Systems Engineering</i>, no. 3, 2016, pp. 213--231, doi:<a href=\"https://doi.org/10.1007/s12599-016-0428-2\">10.1007/s12599-016-0428-2</a>.","apa":"Gorbacheva, E., Stein, A., Schmiedel, T., &#38; Müller, O. (2016). The Role of Gender in Business Process Management Competence Supply. <i>Business and Information Systems Engineering</i>, (3), 213--231. <a href=\"https://doi.org/10.1007/s12599-016-0428-2\">https://doi.org/10.1007/s12599-016-0428-2</a>","bibtex":"@article{Gorbacheva_Stein_Schmiedel_Müller_2016, title={The Role of Gender in Business Process Management Competence Supply}, DOI={<a href=\"https://doi.org/10.1007/s12599-016-0428-2\">10.1007/s12599-016-0428-2</a>}, number={3}, journal={Business and Information Systems Engineering}, author={Gorbacheva, Elena and Stein, Armin and Schmiedel, Theresa and Müller, Oliver}, year={2016}, pages={213--231} }","chicago":"Gorbacheva, Elena, Armin Stein, Theresa Schmiedel, and Oliver Müller. “The Role of Gender in Business Process Management Competence Supply.” <i>Business and Information Systems Engineering</i>, no. 3 (2016): 213--231. <a href=\"https://doi.org/10.1007/s12599-016-0428-2\">https://doi.org/10.1007/s12599-016-0428-2</a>.","short":"E. Gorbacheva, A. Stein, T. Schmiedel, O. Müller, Business and Information Systems Engineering (2016) 213--231.","ama":"Gorbacheva E, Stein A, Schmiedel T, Müller O. The Role of Gender in Business Process Management Competence Supply. <i>Business and Information Systems Engineering</i>. 2016;(3):213--231. doi:<a href=\"https://doi.org/10.1007/s12599-016-0428-2\">10.1007/s12599-016-0428-2</a>"},"publication":"Business and Information Systems Engineering","issue":"3","keyword":["BPM workforce","Business process management","Competences","Gender diversity","Latent semantic analysis","Skills","Text mining"],"type":"journal_article","date_created":"2018-10-12T08:29:58Z"},{"department":[{"_id":"196"}],"keyword":["Latent dirichlet allocation","Online customer reviews","Text mining","Topic modeling","User satisfaction"],"type":"journal_article","date_created":"2018-10-12T08:30:04Z","extern":"1","abstract":[{"lang":"eng","text":"Analysts have estimated that more than 80 percent of today’s data is stored in unstructured form (e.g., text, audio, image, video)—much of it expressed in rich and ambiguous natural language. Traditionally, to analyze natural language, one has used qualitative data-analysis approaches, such as manual coding. Yet, the size of text data sets obtained from the Internet makes manual analysis virtually impossible. In this tutorial, we discuss the challenges encountered when applying automated text-mining techniques in information systems research. In particular, we showcase how to use probabilistic topic modeling via Latent Dirichlet allocation, an unsupervised text-mining technique, with a LASSO multinomial logistic regression to explain user satisfaction with an IT artifact by automatically analyzing more than 12,000 online customer reviews. For fellow information systems researchers, this tutorial provides guidance for conducting text-mining studies on their own and for evaluating the quality of others."}],"citation":{"ieee":"S. Debortoli, O. Müller, I. Junglas, and J. vom Brocke, “Text Mining for Information Systems Researchers: An Annotated Tutorial,” <i>Communications of the Association for Information Systems</i>, pp. 555–582, 2016, doi: <a href=\"https://doi.org/10.17705/1CAIS.03907\">10.17705/1CAIS.03907</a>.","apa":"Debortoli, S., Müller, O., Junglas, I., &#38; vom Brocke, J. (2016). Text Mining for Information Systems Researchers: An Annotated Tutorial. <i>Communications of the Association for Information Systems</i>, 555–582. <a href=\"https://doi.org/10.17705/1CAIS.03907\">https://doi.org/10.17705/1CAIS.03907</a>","short":"S. Debortoli, O. Müller, I. Junglas, J. vom Brocke, Communications of the Association for Information Systems (2016) 555–582.","chicago":"Debortoli, Stefan, Oliver Müller, Iris Junglas, and Jan vom Brocke. “Text Mining for Information Systems Researchers: An Annotated Tutorial.” <i>Communications of the Association for Information Systems</i>, 2016, 555–82. <a href=\"https://doi.org/10.17705/1CAIS.03907\">https://doi.org/10.17705/1CAIS.03907</a>.","mla":"Debortoli, Stefan, et al. “Text Mining for Information Systems Researchers: An Annotated Tutorial.” <i>Communications of the Association for Information Systems</i>, 2016, pp. 555–82, doi:<a href=\"https://doi.org/10.17705/1CAIS.03907\">10.17705/1CAIS.03907</a>.","bibtex":"@article{Debortoli_Müller_Junglas_vom Brocke_2016, title={Text Mining for Information Systems Researchers: An Annotated Tutorial}, DOI={<a href=\"https://doi.org/10.17705/1CAIS.03907\">10.17705/1CAIS.03907</a>}, journal={Communications of the Association for Information Systems}, author={Debortoli, Stefan and Müller, Oliver and Junglas, Iris and vom Brocke, Jan}, year={2016}, pages={555–582} }","ama":"Debortoli S, Müller O, Junglas I, vom Brocke J. Text Mining for Information Systems Researchers: An Annotated Tutorial. <i>Communications of the Association for Information Systems</i>. Published online 2016:555-582. doi:<a href=\"https://doi.org/10.17705/1CAIS.03907\">10.17705/1CAIS.03907</a>"},"publication":"Communications of the Association for Information Systems","user_id":"14972","doi":"10.17705/1CAIS.03907","_id":"4691","language":[{"iso":"eng"}],"page":"555-582","date_updated":"2026-03-10T09:44:54Z","author":[{"last_name":"Debortoli","first_name":"Stefan","full_name":"Debortoli, Stefan"},{"full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver","id":"72849"},{"last_name":"Junglas","first_name":"Iris","full_name":"Junglas, Iris"},{"first_name":"Jan","last_name":"vom Brocke","full_name":"vom Brocke, Jan"}],"publication_identifier":{"isbn":["9781615679119"],"issn":["1529-3181"]},"title":"Text Mining for Information Systems Researchers: An Annotated Tutorial","status":"public","year":"2016"},{"_id":"4695","language":[{"iso":"eng"}],"page":"289--300","doi":"10.1007/s12599-014-0344-2","user_id":"72849","author":[{"last_name":"Debortoli","first_name":"Stefan","full_name":"Debortoli, Stefan"},{"id":"72849","full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"},{"full_name":"vom Brocke, Jan","last_name":"vom Brocke","first_name":"Jan"}],"publication_identifier":{"isbn":["0910-8327 (Print)$\\backslash$n0910-8327 (Linking)"],"issn":["18670202"]},"status":"public","year":"2014","title":"Comparing business intelligence and big data skills: A text mining study using job advertisements","date_updated":"2022-01-06T07:01:18Z","date_created":"2018-10-12T08:30:31Z","type":"journal_article","keyword":["Big data","Business intelligence","Competencies","Latent semantic analysis","Text mining"],"citation":{"short":"S. Debortoli, O. Müller, J. vom Brocke, Business and Information Systems Engineering (2014) 289--300.","chicago":"Debortoli, Stefan, Oliver Müller, and Jan vom Brocke. “Comparing Business Intelligence and Big Data Skills: A Text Mining Study Using Job Advertisements.” <i>Business and Information Systems Engineering</i>, no. 5 (2014): 289--300. <a href=\"https://doi.org/10.1007/s12599-014-0344-2\">https://doi.org/10.1007/s12599-014-0344-2</a>.","apa":"Debortoli, S., Müller, O., &#38; vom Brocke, J. (2014). Comparing business intelligence and big data skills: A text mining study using job advertisements. <i>Business and Information Systems Engineering</i>, (5), 289--300. <a href=\"https://doi.org/10.1007/s12599-014-0344-2\">https://doi.org/10.1007/s12599-014-0344-2</a>","ieee":"S. Debortoli, O. Müller, and J. vom Brocke, “Comparing business intelligence and big data skills: A text mining study using job advertisements,” <i>Business and Information Systems Engineering</i>, no. 5, pp. 289--300, 2014.","ama":"Debortoli S, Müller O, vom Brocke J. Comparing business intelligence and big data skills: A text mining study using job advertisements. <i>Business and Information Systems Engineering</i>. 2014;(5):289--300. doi:<a href=\"https://doi.org/10.1007/s12599-014-0344-2\">10.1007/s12599-014-0344-2</a>","bibtex":"@article{Debortoli_Müller_vom Brocke_2014, title={Comparing business intelligence and big data skills: A text mining study using job advertisements}, DOI={<a href=\"https://doi.org/10.1007/s12599-014-0344-2\">10.1007/s12599-014-0344-2</a>}, number={5}, journal={Business and Information Systems Engineering}, author={Debortoli, Stefan and Müller, Oliver and vom Brocke, Jan}, year={2014}, pages={289--300} }","mla":"Debortoli, Stefan, et al. “Comparing Business Intelligence and Big Data Skills: A Text Mining Study Using Job Advertisements.” <i>Business and Information Systems Engineering</i>, no. 5, 2014, pp. 289--300, doi:<a href=\"https://doi.org/10.1007/s12599-014-0344-2\">10.1007/s12599-014-0344-2</a>."},"issue":"5","publication":"Business and Information Systems Engineering","extern":"1"}]