**5. Discussion**

We have developed a BPLM Process designer conceptual model, which creates basis for development of tool for analysis and design of business process (BP) models. The conceptual model respects the ARIS methodology, however that methodology is being modified an extended as well, while it operates with business process function (BPF), which creates basis of any BP horizontal structure and

considering HR master files, they contain records closely related to personality

The BPLM PD\_02 Structure component deals with modeling of business process static aspects, like business process (BP) transformation rules, BP transformation tools and BP external and internal metrics [30]. Because of that the BPLM Process designer is considered to be the aim oriented knowledge based system (expert system) and the knowledge stored within its knowledge base are represented with the use of appropriate semantic networks and (SNWs) and reference databases (RDBs), the SNWs and RDBs play a role of principle importance within that component. However, the above-mentioned categories create appropriate subordinated modules as well, while they will not be discussed in more details within that contribution. The principal layout of BPL PD\_02 component is shown in **Figure 3**.

However, the BPLM PD\_03 Functionality component deals with modeling of business process dynamic aspect modeling as well, while two modules play a role of principle importance: (a) **Static model**, which deals with establishment of new business process or with selection of BP to be modeled from existing business processes (b) Dynamic model, which deals with modeling of primary and secondary external and internal metrics and derivation of transformation rules closely related to selected BP and adequate BPFs. The selected BP and BPFs are considered

dispositions, theoretical knowledge and practical skills.

*Operations Management - Emerging Trend in the Digital Era*

*4.5.2 BPLM PD\_02 structure*

*4.5.3 BPLM PD\_03 functionality*

**Figure 3.**

**208**

*Principal layout of BPL PD\_02 component. Source: The Authors*

seems to be an elements, which provides the BPF input conversion and pre-defined output generation. When quantifying the BPF with use of adequate linguistic set {[BPF (i, j)]}, three subordinated sets (subsets) might be postulated: (a) BPF transformation rule (b) BPF transformation function and (c) BPF external and internal metrics subset, while two types of transformation rules might be postulated: (a) rules overtaken from the firm or company internal or external environment and postulated via text in natural language - *overtaken rules* and (b) rules postulated based on BPF functionality evaluation – *derived rules*. This is the first extension of ARIS methodology. The second one is closely related to BP model views. The ARIS methodology postulates functional, process, data and organizational model view, however the BPLM methodology postulates information and knowledge-based support view (**Figure 5**). When comparing an information support view with standardized data view two principle differences might be observed. *The first difference* is closely related to BPF external and internal metrics, while there is defined so called *primary BPF external and internal metrics* and secondary one, while the primary BPF external and internal metrics deals with detailed data gained within

evaluation of BP and BPF functionality and the *secondary BPF external and internal metrics* deals with aggregated data gained as s result of statistic evaluation the abovementioned detailed data, while that data create basis for derivation of rules within BP and BPF knowledge-based support, which seems to be the next extension of previous BP and model views. However, the second difference is closely related to existence of *reference databases (RDBs)*, which create basis for knowledge representation within BP or BPF knowledge-based support view as well, while the RDBs and semantic networks created based on *secondary BPF external and internal metrics data* might generate knowledge stored in the expert system (ES) knowledge base (KB) and the ES seems to be an application utilized for BP linguistic modeling purposes.

*Business Process Linguistic Modeling: Theory and Practice Part II: BPLM Business Process…*

The conclusion facts are concerned with modifying and extension of previously

Of course, the reader will not find any facts related to BP and BPF simulation and optimization, while those problems are closely related to our research work in the near future. The same is concerned with BP configuration and execution problems being solved within BP implementation and controlling. All the abovementioned aspects represent objectives of the research work in the near future.

This work was supported by the Grant Agency of Slovak Republic – VEGA grant no. 1/0339/20 " Hidden Markov Model Utilization in Financial Modeling This work was supported by the Grant Agency of Slovak Republic – KEGA grant no. 019EU-4/2020 Support of distance education through a virtual department.This work was supported by the Štefan Kassy Foundation and support for science and education.

developed ARIS methodology and are described within discussion section. We would like to stress the main practical contribution of that system, which deals with a possibility or transformation rule derivation and presentation in form of TNL text, which might read the business analysts and BP managers as well, what generates an

**6. Conclusion**

**Acknowledgements**

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easier communication among them too.

*DOI: http://dx.doi.org/10.5772/intechopen.95350*

**Figure 5.** *Principal layout of BPL PD\_02 component - module d ynamic model. Source: The authors.*

*Business Process Linguistic Modeling: Theory and Practice Part II: BPLM Business Process… DOI: http://dx.doi.org/10.5772/intechopen.95350*

evaluation of BP and BPF functionality and the *secondary BPF external and internal metrics* deals with aggregated data gained as s result of statistic evaluation the abovementioned detailed data, while that data create basis for derivation of rules within BP and BPF knowledge-based support, which seems to be the next extension of previous BP and model views. However, the second difference is closely related to existence of *reference databases (RDBs)*, which create basis for knowledge representation within BP or BPF knowledge-based support view as well, while the RDBs and semantic networks created based on *secondary BPF external and internal metrics data* might generate knowledge stored in the expert system (ES) knowledge base (KB) and the ES seems to be an application utilized for BP linguistic modeling purposes.
