BPM and Maturity Models

Scheel, Henrik von; Rosing, Gabriella von; Skurzak, Krzysztof; Hove, Maria

doi:10.1016/b978-0-12-799959-3.00019-7

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Maturity models are a structured collection of elements that guide organizations to determine their present capabilities to implement improvement and changes. As stated in [70], there are five BPM maturity levels, which are explained below:…”

Section: Bpm Maturity Modelmentioning

confidence: 99%

An Interactive Framework to Develop and Align Business Process Models

Ahmad

Haque

2019

2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)

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In the past few decades, the usage of Business Process Management (BPM) has enormously increased. Organizations are devoting resources towards development and use of BPM techniques and technologies to analyze, model, improve and implement business processes. The procedures currently used for collecting information to create business process models generally lead to misunderstanding or ambiguity between model and domain experts.We propose a framework to build business process models directly from users' inputs captured through interactive web-forms. It also allows the users to align processes with strategic business objectives, critical success factors, and key performance indicators. Further, processes can be tagged with appropriate maturity level, types and tiers. The framework includes a dashboard with real-time reports which helps decision makers to monitor organization's performance, make better decisions, and standardize/optimize processes across the organization. A comparison of the functionality available in different tools along with proposed framework is also presented.

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Section: Bpm Maturity Modelmentioning

confidence: 99%

An Interactive Framework to Develop and Align Business Process Models

Ahmad

Haque

2019

2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)

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“…Each maturity level includes a range of background processes that shows an organization focus of attention for improving their processes (Backlund et al 2014). Von Scheel et al (2015) acknowledge that maturity models can be considered as a structured collection of elements in which certain aspects of the capability maturity in an organization are described. In most studies, it has been recommended to use the base Capability Maturity Model Integration (CMMI) model for Maturity assessment in the IT industry (Rogers 2009).…”

Section: Review Of the Literaturementioning

confidence: 99%

Maturity Assessment of Social Customer Knowledge Management (Sckm) Using Fuzzy Expert System

Lak

Rezaeenour

2018

Journal of Business Economics and Management

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Abstract. Organizations which provide electronic services do not have a logically structured strategy for implementing Customer Knowledge Management through Social media (SCKM). By assessing the position of SCKM, organizations can have a clear understanding of their maturity level and find their future investment interests. This research examined the maturity assessment of SCKM utilizing a fuzzy expert system. It consisted of a-four-stage procedure. The maturity model is based on 11 critical success factors, including strategy, leadership, information technology, knowledge management, culture, process, resources, business intelligence, security, social customer, and assessment. Results showed that the studied organization has covered 48.2% of maturity on the first level and 51.8% on the second level. Thus, to increase productivity, it is indispensable for organizations to act in a targeted way. The fuzzy expert system is not designed specifically for a case study, but can be utilized as a reference for in-depth analysis of the organizational readiness for SCKM implementation and development within organizations, which provide e-services applications.

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“…According to Von Scheel et al, the maturity model is a structured collection of elements that support organization to assess they capabilities to identify the necessary actions to improve their organization sustainability (Von Scheel et al, 2014). Based on the same study, they declare that the first maturity model was developed by Richard and L. Nolan, in 1973 with the purpose to evaluate the IT organizations.…”

Section: Maturity Modelsmentioning

confidence: 99%

“…Based on the same study, they declare that the first maturity model was developed by Richard and L. Nolan, in 1973 with the purpose to evaluate the IT organizations. Von Scheel et al declare that measuring the maturity level of business process management helps the organization to set a baseline where their organization stands in relation with business processes and after the evaluation, how they can react to improve and further development of their business processes (Von Scheel et al, 2014). Below are presented Capability Maturity Model Integration (CMMI) and ERP maturity models.…”

Section: Maturity Modelsmentioning

confidence: 99%

A maturity model for implementation and application of Enterprise Resource Planning systems and ERP utilization to Industry 4.0

Gërvalla¹

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This study analyzes the evolution of ERP systems and the current trends of their implementation and application, also the organization's readiness for further digitalization. Throughout the study, it is identified that there are many critical factors that have an impact on the process of implementation and application of ERP systems. There are different studies and reports that confirm that organizations are struggling with this process. The researchers have identified and proposed different stages of implementation and application of ERP systems. Moreover, three maturity models are identified, which aim to measure the ERP maturity level in the organizations, but they lack defining the complete process which supports the organizations to check their maturity level of ERP systems by themselves. On the other hand, Industry 4.0, as a new technological concept, aims to support organizations to complete digitalization and automation of their processes and functions, specifically in the manufacturing industry. Based on the undertaken study, a new ERP Maturity Model (ERPMM) is developed with the aim to measure the maturity of implementation and application of the ERP system in the organizations. With the purpose to check the reliability and validity of the developed model, the quantitative methodology was applied. The proposed model (ERPMM) to measure the maturity of ERP system implementation and application will support organizations in generating a clear picture of their organization status related to the implementation and application of the ERP system. In this way, they are able to evaluate the benefits of implementation and application of an ERP system, and whether they should do anything in the way they are applying such a system. The study also analyzes the impact of different factors that have an effect on a successful ERP system implementation and application. In addition, this study has investigated whether strategic use of IT positively affects the ERP selection, implementation, and application process, as well as if appropriate ERP selection has a positive effect on the implementation and application and the role of ERP implementation on the application. Also, the impact of the ERP application on Business Performance. The study shows that there is a relationship between all the stages of ERP implementation and application, starting with the organization's IT strategy to the ERP application. The results of the study present that the ERP application has a positive impact on business performance. Also, the study presents an analysis of the integration of ERP and Industry 4.0, which is done based on secondary data. Industry 4.0 is seen as the beginning phase, where computers and automation become connected and as an opportunity to increase the efficiency and effectiveness in the manufacturing industry, with the application of real-time data and information by integrating physical machinery and devices with networked sensors and software to predict, control and reduce costs in a long-term view. Primary data was used to analyze if the ERP application can be used to predict the readiness of the organizations for Industry 4.0. Based on the statistical analysis, it is proved that partially ERP application can be used to predict the readiness of the organizations for Industry 4.0. Based on the findings, there are many challenges related to the integration of Industry 4.0 and current ERP systems, especially when it comes to machine to machine, machine to ERP communication, and the security of the data. Based on the proposed ERP Maturity Model (ERPMM), a prototype is developed, which supports the organizations in evaluating their status of ERP system implementation and application by themselves. The prototype is a web-based application that is developed on PHP and MySQL database. The main contributions of this study are:  Identifies and presents the current status of implementation and application of the ERP system and ERP maturity models;  Analyzes the role of strategic use of IT in the process of ERP selection, implementation, and application;  Analyzes the impact of ERP selection on implementation and application also the effect of ERP implementation on the application;  Identifies the ERP application effect on business performance also the ability of the organization to evaluate their readiness for further digitalization based on the ERP application;  A new ERP Maturity Model (ERPMM) to support the organizations for the evaluation of implementation and application of the ERP system is developed;  A developed prototype that applies ERPMM to support organizations for ERP maturity level assessment.

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BPM and Maturity Models

Cited by 9 publications

References 9 publications

An Interactive Framework to Develop and Align Business Process Models

An Interactive Framework to Develop and Align Business Process Models

Maturity Assessment of Social Customer Knowledge Management (Sckm) Using Fuzzy Expert System

A maturity model for implementation and application of Enterprise Resource Planning systems and ERP utilization to Industry 4.0

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