LEADER 05091nam 2200625 450 001 9910554271303321 005 20231110213143.0 010 $a1-5231-5440-3 010 $a3-11-067669-9 024 7 $a10.1515/9783110676693 035 $a(CKB)4100000011931190 035 $a(DE-B1597)536430 035 $a(DE-B1597)9783110676693 035 $a(MiAaPQ)EBC6623966 035 $a(Au-PeEL)EBL6623966 035 $a(OCoLC)1252423435 035 $a(OCoLC)1253313166 035 $a(EXLCZ)994100000011931190 100 $a20220117d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRobotic process automation $emanagement, technology, applications /$fedited by Christian Czarnecki and Peter Fettke 210 1$aBerlin, Germany ;$aBoston, Massachusetts :$cDe Gruyter,$d[2021] 210 4$dİ2021 215 $a1 online resource (XXIV, 406 p.) 225 0 $aDe Gruyter STEM 300 $aIncludes index. 311 $a3-11-067668-0 327 $tFrontmatter -- $tPreface -- $tContents -- $tEditors -- $tAuthors -- $tPart I: Introduction -- $t1 Robotic process automation -- $tPart II: RPA management -- $t2 Managing RPA implementation projects -- $t3 Finding the perfect RPA match -- $t4 Process selection for RPA projects -- $t5 Selecting processes for RPA -- $t6 Transforming and recombining routines to scale the implementation of software robots -- $t7 Liability for loss or damages caused by RPA -- $tPart III: RPA technology -- $t8 Towards end-to-end business process automation -- $t9 Human?computer interaction analysis for RPA support -- $t10 Supporting RPA through natural language processing -- $t11 Automated segmentation of user interface logs -- $t12 Process mining and RPA -- $tPart IV: RPA applications -- $t13 RPA in accounting -- $t14 RPA for the financial industry -- $t15 RPA for public administration enhancement -- $t16 Applications of RPA in manufacturing -- $tPart V: RPA practice -- $t17 AI evolves IA -- $t18 The broad use of RPA based on three practical cases -- $t19 Digitization applied to automate freight paper processing -- $tIndex 330 $aThis book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects. Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that ? despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) ? additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities. RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models. At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies. 410 3$aDe Gruyter STEM 606 $aApplication software$xDevelopment 606 $aBusiness$xData processing 606 $aArtificial intelligence 610 $aArtificial Intelligence. 610 $aAutomation. 610 $aMachine Learning. 610 $aRobotics. 615 0$aApplication software$xDevelopment. 615 0$aBusiness$xData processing. 615 0$aArtificial intelligence. 676 $a658.0563 686 $aQP 225$qDE-Ofb1/21$2rvk 702 $aFettke$b Peter$f1973- 702 $aCzarnecki$b Christian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554271303321 996 $aRobotic process automation$92819754 997 $aUNINA