Repeated Use of Process Models: The Impact of Artifact, Technological and Individual Factors (Extended Abstract)

Business process modeling has received a lot of attention from practitioners and researchers alike. Organizations make significant investments into process modeling in terms of training, tools, and resources. Yet, having invested into creating large process model collections, process models often fall into disuse, provoking the impression that the initial investment has been lost. While previous work has aimed at exploring model re-use as a design principle, our work examines repeated use of a model as a behavior and thus aims at identifying factors that facilitate or hinder the repeated use of process models by individual users. We develop a conceptual model of factors that can influence an individual's intention to repeatedly use process models. We evaluate this model through a cross-sectional survey of process model users from a large European financial institution. Our results indicate the importance of quality and ease of understanding of process models to repeated use, alongside individual factors, such as motivation and individual expertise. We identify means that help organizations to promote the repeated use of process models, which can assist them to increase the benefits of process modeling. We conducted the first empirical study of process model re-use intentions.We developed a conceptual model of factors influencing re-use intentions.We developed a measurement instrument to assess re-use intentions.We found that process model ease of use and usefulness increase re-use intentions.We found that a user's motivation and process model accessibility increase re-use intentions.

[1]  Jan Recker,et al.  Understanding the Behavior of Workshop Facilitators in Systems Analysis and Design Projects: Developing Theory from Process Modeling Projects , 2015, Commun. Assoc. Inf. Syst..

[2]  ReckerJan,et al.  Do ontological de ficiencies in modeling grammars matter , 2011 .

[3]  Alexander Hars,et al.  Working for Free? Motivations for Participating in Open-Source Projects , 2002, Int. J. Electron. Commer..

[4]  Sherif Sakr,et al.  Design by Selection: A Reuse-Based Approach for Business Process Modeling , 2011, ER.

[5]  Jan Mendling,et al.  A Study Into the Factors That Influence the Understandability of Business Process Models , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  Peter R. Newsted,et al.  Survey Instruments in Information Systems , 1998, MIS Q..

[7]  Jan Recker,et al.  Detecting approximate clones in business process model repositories , 2015, Inf. Syst..

[8]  Bill Curtis,et al.  Process modeling , 1992, CACM.

[9]  Stijn Heymans,et al.  Semantic Business Process Repository , 2007, SBPM.

[10]  Sebastian Spaeth,et al.  Code Reuse in Open Source Software , 2008, Manag. Sci..

[11]  Jan Recker,et al.  Development and validation of an instrument to measure organizational cultures' support of Business Process Management , 2014, Inf. Manag..

[12]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[13]  Detmar W. Straub,et al.  An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research , 2011 .

[14]  Hajo A. Reijers,et al.  Improving the process of process modelling by the use of domain process patterns , 2015, Enterp. Inf. Syst..

[15]  Mark Strembeck,et al.  The Influence of Notational Deficiencies on Process Model Comprehension , 2013, J. Assoc. Inf. Syst..

[16]  John Krogstie,et al.  A Repository Architecture for Business Process Characterizing Models , 2010, PoEM.

[17]  Manfred Reichert,et al.  Inventing Less, Reusing More, and Adding Intelligence to Business Process Modeling , 2008, DEXA.

[18]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[19]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[20]  Rodney Carr,et al.  Customer repurchase intention: A general structural equation model , 2003 .

[21]  Remco M. Dijkman,et al.  APROMORE: An advanced process model repository , 2011, Expert Syst. Appl..

[22]  Jan Recker,et al.  How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation , 2008, CAiSE.

[23]  Daniel Q. Chen,et al.  WEBQUAL TM REVISITED: PREDICTING THE INTENT TO REUSE A WEB SITE , 2002 .

[24]  Remco M. Dijkman,et al.  The ICoP Framework: Identification of Correspondences between Process Models , 2010, CAiSE.

[25]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[26]  Wynne W. Chin,et al.  A critical look at partial least squares modeling , 2009 .

[27]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[28]  Jan Mendling,et al.  How collaborative technology supports cognitive processes in collaborative process modeling: A capabilities-gains-outcome model , 2013, Inf. Syst..

[29]  Mark Strembeck,et al.  Factors of process model comprehension - Findings from a series of experiments , 2012, Decis. Support Syst..

[30]  Kennon M. Sheldon,et al.  What Makes for a Good Day? Competence and Autonomy in the Day and in the Person , 1996 .

[31]  Varun Grover,et al.  The Use of Structural Equation Modeling in IS Research: Review and Recommendations , 2004 .

[32]  Jan Recker,et al.  Opportunities and constraints: the current struggle with BPMN , 2010, Bus. Process. Manag. J..

[33]  Marta Indulska,et al.  The ontological deficiencies of process modeling in practice , 2010, Eur. J. Inf. Syst..

[34]  Michael Rosemann,et al.  Factors and measures of business process modelling: model building through a multiple case study , 2005, Eur. J. Inf. Syst..

[35]  Gretchen Irwin,et al.  The Role of Similarity in the Reuse of Object-Oriented Analysis Models , 2002, J. Manag. Inf. Syst..

[36]  Robert P. Bostrom,et al.  Mis problems and failures: a socio-technical perspective , 1977 .

[37]  Jörg Becker,et al.  Guidelines of Business Process Modeling , 2000, Business Process Management.

[38]  Jeffrey Parsons,et al.  Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database Queries , 2010, Inf. Syst. Res..

[39]  D. Ingledew,et al.  A graded conceptualisation of self-determination in the regulation of exercise behaviour: Development of a measure using confirmatory factor analytic procedures , 1997 .

[40]  Ron Weber,et al.  Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda , 2002, Inf. Syst. Res..

[41]  이훈,et al.  지각된 유용성(Perceived Usefulness)의 영향분석 , 2004 .

[42]  Ned Kock,et al.  Communication flow orientation in business process modeling and its effect on redesign success: Results from a field study , 2009, Decis. Support Syst..

[43]  Jan Recker,et al.  Process Model Comprehension: The Effects of Cognitive Abilities, Learning Style, and Strategy , 2014, Commun. Assoc. Inf. Syst..

[44]  Wineke A. M. van Lent,et al.  Similarity of business process models : metrics and evaluation , 2009 .

[45]  Jan C. Recker,et al.  “You’ve modelled and now what?” - Exploring Determinants of Process Model Re-Use , 2013 .

[46]  Maurizio Morisio,et al.  Success and Failure Factors in Software Reuse , 2002, IEEE Trans. Software Eng..

[47]  Frank Leymann,et al.  A Lifecycle Model for Using Process Fragment in Business Process Modeling , 2008 .

[48]  Corina Raduescu,et al.  A framework of issues in large process modeling projects , 2006, ECIS.

[49]  Christopher J. Fox,et al.  Sixteen questions about software reuse , 1995, CACM.

[50]  Michael Rosemann,et al.  Potential pitfalls of process modeling: part A , 2006, Bus. Process. Manag. J..

[51]  Jan Mendling,et al.  Styles in business process modeling: an exploration and a model , 2015, Software & Systems Modeling.

[52]  K. Hewett,et al.  A Multi-Theoretical Model of Knowledge Transfer in Organizations: Determinants of Knowledge Contribution and Knowledge Reuse , 2006 .

[53]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[54]  John Krogstie Model-Based Development and Evolution of Information Systems: A Quality Approach , 2012 .

[55]  Jan Mendling,et al.  Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness , 2008, Lecture Notes in Business Information Processing.

[56]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[57]  Marta Indulska,et al.  Business Process Modeling: Current Issues and Future Challenges , 2009, CAiSE.

[58]  Andreas Oberweis,et al.  Analysis of process model reuse: Where are we now, where should we go from here? , 2014, Decis. Support Syst..

[59]  Dennis F. Galletta,et al.  Cognitive Fit: An Empirical Study of Information Acquisition , 1991, Inf. Syst. Res..

[60]  Geert Poels,et al.  Evaluating quality of conceptual modelling scripts based on user perceptions , 2007, Data Knowl. Eng..

[61]  Marta Indulska,et al.  Major Issues in Business Process Management: An Expert Perspective , 2007 .

[62]  Enid Mumford,et al.  A Socio-Technical Approach to Systems Design , 2000, Requirements Engineering.

[63]  Marta Indulska,et al.  Do Ontological Deficiencies in Modeling Grammars Matter? , 2011, MIS Q..

[64]  William B. Frakes,et al.  Software reuse research: status and future , 2005, IEEE Transactions on Software Engineering.

[65]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[66]  Daniel L. Moody,et al.  The method evaluation model: a theoretical model for validating information systems design methods , 2003, ECIS.

[67]  Jan C. Recker,et al.  Preliminary insights from a multiple case study on process modelling impact , 2012 .

[68]  M. Lynne Markus,et al.  Toward A Theory of Knowledge Reuse : Types of Knowledge Reuse Situations and Factors in Reuse Success , 2022 .

[69]  Jan Mendling,et al.  Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed , 2012, BPM.

[70]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[71]  V. Grover,et al.  An assessment of survey research in POM: from constructs to theory , 1998 .

[72]  Andrew Gemino,et al.  Complexity and clarity in conceptual modeling: Comparison of mandatory and optional properties , 2005, Data Knowl. Eng..

[73]  Rob Davis,et al.  ARIS design platform - advanced process modelling and administration , 2008 .