Supporting business process improvement with natural language processing: A model-based approach

The research area of business process improvement (BPI) focuses on the development of methods and techniques for redesigning processes as well as improving the process performance accordingly. Thereby one particular challenge lies in the classi®cation of customer feedback that is received via various online and of ̄ine channels. In the paper at hand we present an approach how customer feedback that is issued via social media can be classi®ed using natural language processing. For this purpose, a domain-speci®c modeling method has been designed that permits to specify the processing steps in visual form and that can integrate the results in existing modeling methods for BPI. For a ®rst evaluation, the approach has been prototypically implemented on the ADOxx-based SeMFIS platform and assessed using a SWOT analysis.

[1]  Irene T. P. Vanderfeesten,et al.  A Critical Evaluation and Framework of Business Process Improvement Methods , 2016, Bus. Inf. Syst. Eng..

[2]  Mihai Surdeanu,et al.  The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.

[3]  Hans-Georg Fill,et al.  Codification of Knowledge in Business Process Improvement Projects , 2014, ECIS.

[4]  Hans-Georg Fill,et al.  RUPERT: A Modelling Tool for Supporting Business Process Improvement Initiatives , 2014, DESRIST.

[5]  Gerald C. Kane,et al.  What's Different about Social Media Networks? A Framework and Research Agenda , 2014, MIS Q..

[6]  Thomas S. Morton,et al.  Taming Text: How to Find, Organize, and Manipulate It , 2013 .

[7]  Julia Heidemann,et al.  Online social networks: A survey of a global phenomenon , 2012, Comput. Networks.

[8]  P. Berthon,et al.  Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy , 2012 .

[9]  Bing Liu,et al.  Sentiment Analysis and Opinion Mining , 2012, Synthesis Lectures on Human Language Technologies.

[10]  Joseph Barjis,et al.  Enterprise Modeling and Simulation Within Enterprise Engineering , 2011 .

[11]  Gregor Zellner,et al.  A structured evaluation of business process improvement approaches , 2011, Bus. Process. Manag. J..

[12]  Olivera Marjanovic,et al.  Role of process knowledge in business process improvement methodology: a case study , 2009, Bus. Process. Manag. J..

[13]  Silvia Bernardini,et al.  The WaCky wide web: a collection of very large linguistically processed web-crawled corpora , 2009, Lang. Resour. Evaluation.

[14]  Robert J. Kauffman,et al.  Service-oriented technology and management: Perspectives on research and practice for the coming decade , 2008, Electron. Commer. Res. Appl..

[15]  T. Tuunanen,et al.  A Design Science Research Methodology for Information Systems Research , 2007, J. Manag. Inf. Syst..

[16]  Jan M. Pawlowski,et al.  Handbook on Quality and Standardisation in E-Learning , 2006 .

[17]  E. V. Gijo,et al.  Six Sigma implementation – Hurdles and more hurdles , 2005 .

[18]  K. Narasimhan.  The Six Sigma Way: How GE, Motorola, and Other Top Companies Are Honing Their Performance , 2002 .

[19]  Ned M. Gibbons,et al.  Business Process Improvement Toolbox , 1999 .

[20]  Hans-Georg Fill,et al.  SeMFIS: A flexible engineering platform for semantic annotations of conceptual models , 2017, Semantic Web.

[21]  Philipp Koehn,et al.  Synthesis Lectures on Human Language Technologies , 2016 .

[22]  Hans-Georg Fill,et al.  Supporting Knowledge Elicitation and Analysis for Business Process Improvement through a Modeling Tool , 2015, Wirtschaftsinformatik.

[23]  Mary Beth Pinto,et al.  Facebook as a complaint mechanism : An investigation of millennials , 2015 .

[24]  Martin Bergner.  Integrating natural language processing with semantic-based modeling , 2015 .

[25]  P. Harmon.  The Scope and Evolution of Business Process Management , 2015, Handbook on Business Process Management.

[26]  Dimitris Karagiannis,et al.  On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform , 2013, Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model..

[27]  John Gallaugher,et al.  Social Media and Customer Dialog Management at Starbucks , 2010, MIS Q. Executive.

[28]  Christian M. Stracke,et al.  Process-oriented Quality Management , 2006 .

[29]  James H. Martin,et al.  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition , 2000 .

[30]  Dimitris Karagiannis,et al.  Introduction to Business Process Management Systems Concepts , 1996 .