Litcius/Paper detail

BUSINESS PROCESS MATURITY MODEL FOR DIGITAL TRANSFORMATION: AN ACTION DESIGN RESEARCH STUDY ON THE INTEGRATION OF INFORMATION TECHNOLOGY

Christian Flechsig, Jacob Lohmer, ROBERT VOß, Rainer Lasch

2022International Journal of Innovation Management14 citationsDOI

Abstract

Business Process Maturity Models (BPMMs) receive growing attention within digital transformation to evaluate the maturity level of business processes regarding specific capabilities. However, existing models are primarily descriptive, with limited prescriptive features and guidance to improve the current state. Besides, the assessment methods of popular BPMMs do not adequately reflect the indispensable role of information technology (IT), i.e., IT systems and information flow, for business process management (BPM) and process performance. Motivated by a research project with an industry partner, we apply the practice-oriented Action Design Research methodology to introduce our comprehensive and prescriptive “BPMMxIT” maturity model that integrates the IT and BPM perspectives. This study details the development and application procedures and provides generalised design principles to evaluate process performance and capability maturity for digital transformation. Transparency and reproducibility are facilitated by extensive supplementary material. Finally, theoretical implications and pivotal directions for organisational practice and further research are outlined.

Topics & Concepts

Capability Maturity ModelMaturity (psychological)Process managementComputer scienceBusiness process managementBusiness processService Integration Maturity ModelProcess (computing)Knowledge managementDesign science researchDigital transformationAction researchTransparency (behavior)Information systemWork in processBusinessEngineeringMarketingManagementWorld Wide WebComputer securityProgramming languageDevelopmental psychologyPsychologyEconomicsSoftwareElectrical engineeringOperating systemDigital Transformation in IndustryBusiness Process Modeling and AnalysisBig Data and Business Intelligence