Upravljanje poslovnim procesima i softverski roboti

master's thesis

• Title (english): Business process management and software robots
• Author: Katarina Paponja
• Mentor: Vesna Bosilj Vukšić (mentor)
• Committee member: Ljubica Milanović Glavan (predsjednik povjerenstva)
• Committee member: Nikola Vlahović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2020-03-02, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Danas nije pitanje hoće li se poduzeće digitalno transformirati nego je pitanje kad će se transformirati. Kao dio digitalne transformacije primjenjuje se i automatizacija poslovnih procesa usmjerena na primjenu softverske robotike koja na temelju strojnog učenja i umjetne inteligencije unaprjeđuje poslovne procese. Automatizacija poslovnih procesa se odvija na strateškoj i operativnoj razini u svrhu reduciranih troškova, poboljšanja iskustva klijenata, smanjenju rizika itd. Na strateškoj razini primjenjuje se filozofija upravljanja poslovnim procesima (engl. Business Process Management) kako bi se optimizirali procesi organizacije integrirajući BPM softverski alat s ostalim softverima organizacije. Operativna razina podrazumijeva niz ponavljajućih aktivnosti koji se mogu optimizirati koristeći jedan od softverski alata Robotske procesne automatizacije (RPA). Iako različita, navedena dva alata se mogu kombinirati u svrhu povećanja dodane vrijednosti organizacije i optimizacije poslovanja što će se u ovome radu detaljnije analizirati i podrobnije objasniti. Stoga, cilj ovog rada je analizom sekundarnih podataka utvrditi sličnosti i različitosti BPM i RPA te utvrditi kako se dva alata mogu međusobno komplementirati u svrhu optimalnog unaprjeđenja poslovnih procesa poduzeća. Analiza će obuhvaćati prikupljanje podataka o karakteristikama pojedinih alata, implementacije istih i način primjene u poslovanju.

Abstract (english)

Nowadays, it is not a question of whether a business will transform digitally, but rather a question of when it will be transformed. As part of the digital transformation, business process automation is focused on the application of software robotics that enhances business processes based on machine learning and artificial intelligence. Business process automation takes place at a strategic and operational level to reduce costs, improve customer experience, reduce risk, etc. At the strategic level, a Business Process Management (BPM) philosophy is applied to optimize organizational processes by integrating BPM software tools with other organization software. The operational level involves a series of repetitive activities that can be optimized using one of the Robotic Process Automation (RPA) software tools. Although different, these two tools can be combined to increase organizational value and optimize business, which will be analyzed and explained in more detail in this paper. Therefore, the aim of this paper is to analyze the similarities and differences of BPM and RPA by analyzing secondary data and to determine how the two tools can complement each other for the purpose of optimizing the enterprise business processes. The analysis will include the collection of data on the characteristics of individual tools, their implementation and how they are applied in business.

• Keywords: poslovni proces; automatizacija; roboti; efikasnost; rizici; analiza poslovnih procesa; unaprjeđenje poslovnih procesa; softverski alati; robotska procesna automatizacija; upravljanje poslovnim procesima
• Keywords (english): business process; automation; robots; efficiency; risks; business process analysis; business process improvement; software tools; robotic process automation; business process management
• Language: croatian
• URN:NBN: urn:nbn:hr:148:411857
• Study programme: Title: Economics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2020-06-23 10:23:57