The Experts below are selected from a list of 105753 Experts worldwide ranked by ideXlab platform
Manfred Reichert - One of the best experts on this subject based on the ideXlab platform.
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Robotic Process Automation - A Systematic Literature Review and Assessment Framework.
arXiv: Robotics, 2020Co-Authors: Judith Wewerka, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the Automation of rule-based routine Processes to increase efficiency and to reduce costs. Due to the utmost importance of Process Automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of a Systematic Literature Review (SLR). In this SLR, 63 publications are identified, categorised, and analysed along well-defined research questions. From the SLR findings, moreover, a framework for systematically analysing, assessing, and comparing existing as well as upcoming RPA works is derived. The discovered thematic clusters advise further investigations in order to develop an even more detailed structural research approach for RPA.
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Towards Quantifying the Effects of Robotic Process Automation
2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW), 2020Co-Authors: Judith Wewerka, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the Automation of rule-based routine Processes to increase Process efficiency and to reduce Process costs. In practice, however, RPA is often applied without knowledge of the concrete effects its introduction will have on the automated Process and the involved stakeholders. Accordingly, literature on the quantitative effects of RPA is scarce. The objective of this paper is to provide empirical insights into improvements and deteriorations of business Processes achieved in twelve RPA projects in the automotive industry. The results indicate that the positive benefits promised in literature are not always achieved in practice. In particular, shorter case duration and better quality are not confirmed by the empirical data gathered in the considered RPA projects. These quantitative insights constitute a valuable contribution to the currently rather qualitative literature on RPA.
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A User Acceptance Model for Robotic Process Automation
2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC), 2020Co-Authors: Judith Wewerka, Sebastian Dax, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the rule-based Automation of business Processes by software bots mimicking human interactions to relieve employees from tedious work. However, any RPA initiative will not be successful if user acceptance is poor. So far, variables influencing RPA user acceptance have not been systematically investigated. The objective of this paper is to develop a model for assessing RPA user acceptance as well as variables influencing it. We derive this model using the Technology Acceptance Model (TAM) and extend TAM by RPA-specific variables. Our empirical validation indicates that the most important variables, which significantly influence perceived usefulness and perceived ease of use are facilitating conditions, result demonstrability, innovation joy, and social influence. These findings can be used to derive concrete recommendations for the design and implementation of RPA bots increasing acceptance of employees using the bots during their daily work. For the first time, an RPA user acceptance model is presented and validated contributing to an increased maturity of RPA projects.
Sunita Patil - One of the best experts on this subject based on the ideXlab platform.
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robotic Process Automation future of business organizations a review
Social Science Research Network, 2019Co-Authors: Manishkumar Gami, Parth Jetly, Nidhi Mehta, Sunita PatilAbstract:The purpose of this paper is to highlight the importance of the technology robotic Process Automation and its advantages over its identical technologies. In addition to this, the paper also provides content on the future research of this technology. The history of robotic Process Automation suggests that the scope of this technology is extensive but the research done for the same is very constrained. Robotic Process Automation helps in achieving maximum and optimum results. This paper will help organizations to adopt Robotic Process Automation in a very effective manner. It captures and interprets the existing applications to automate the various tasks. The percentage relevance of RPA for solving a particular problem depends on the number of software applications that will be needed to solve that particular problem. More the number of software applications required, more relevant RPA will be for solving the problem. It allows enterprise safe Automation of the Processes. The Processes developed using robotic Process Automation take care of multiple tasks in minimum time.
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A Review on Robotic Process Automation - The Future of Business Organizations
SSRN Electronic Journal, 2019Co-Authors: Wasique Ali Ansari, Paritosh Diya, Sahishnu Patil, Sunita PatilAbstract:Robotic Process Automation (RPA) is the Automation of tasks and routines that are followed by humans, which can be instructed to a machine. As it is a mundane and repetitive task, if the Process is gone through thoroughly, and key modules are identified of the specified task, then those modules can be programmed in a robot, who will perform that task more efficiently and effectively as compared to a human. This paper aims to give a review of rpa as a technology, and its applications for implementation.
Juergen Mangler - One of the best experts on this subject based on the ideXlab platform.
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Process Automation and Process mining in manufacturing
Business Process Management, 2021Co-Authors: Stefanie Rinderlema, Juergen ManglerAbstract:Process Automation and Process mining are (interconnected) key technologies with respect to digital transformation. Hence, expectations are high, in particular, in challenging application domains such as manufacturing that combine systems, machines, sensors, and users. Moreover, manufacturing Processes operate at a high level of collaboration, e.g. in inter-factory or cross-organizational settings. This paper investigates the following questions: 1) How to automate manufacturing Processes? 2) What are the specifics with respect to the involvements of humans? 3) How do the Automation strategies impact Process mining options and vice versa? For 1), we discuss two starting positions in practice, i.e., legacy Automation and greenfield Automation. For 2), we discuss the range of Automation options with respect to human involvement, i.e., non-interactive Automation, robotic Process Automation, supportive Process Automation, and interactive Process Automation. For 3), the different Automation settings and strategies are examined with respect to data collection and integration capabilities. Conversely, Process mining is discussed as technology to further Process Automation in manufacturing. The paper builds on more than a decade of experience with Process Automation in manufacturing. We built an orchestration engine based on which 16 real-world manufacturing Processes have been realized so far, resulting in various benefits for the companies such as traceability, flexibility, and sustainability. The investigation of the manufacturing domain also sheds light on other challenging scenarios with similar requirements such as health care and logistics.
Judith Wewerka - One of the best experts on this subject based on the ideXlab platform.
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Robotic Process Automation - A Systematic Literature Review and Assessment Framework.
arXiv: Robotics, 2020Co-Authors: Judith Wewerka, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the Automation of rule-based routine Processes to increase efficiency and to reduce costs. Due to the utmost importance of Process Automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of a Systematic Literature Review (SLR). In this SLR, 63 publications are identified, categorised, and analysed along well-defined research questions. From the SLR findings, moreover, a framework for systematically analysing, assessing, and comparing existing as well as upcoming RPA works is derived. The discovered thematic clusters advise further investigations in order to develop an even more detailed structural research approach for RPA.
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Towards Quantifying the Effects of Robotic Process Automation
2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW), 2020Co-Authors: Judith Wewerka, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the Automation of rule-based routine Processes to increase Process efficiency and to reduce Process costs. In practice, however, RPA is often applied without knowledge of the concrete effects its introduction will have on the automated Process and the involved stakeholders. Accordingly, literature on the quantitative effects of RPA is scarce. The objective of this paper is to provide empirical insights into improvements and deteriorations of business Processes achieved in twelve RPA projects in the automotive industry. The results indicate that the positive benefits promised in literature are not always achieved in practice. In particular, shorter case duration and better quality are not confirmed by the empirical data gathered in the considered RPA projects. These quantitative insights constitute a valuable contribution to the currently rather qualitative literature on RPA.
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A User Acceptance Model for Robotic Process Automation
2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC), 2020Co-Authors: Judith Wewerka, Sebastian Dax, Manfred ReichertAbstract:Robotic Process Automation (RPA) is the rule-based Automation of business Processes by software bots mimicking human interactions to relieve employees from tedious work. However, any RPA initiative will not be successful if user acceptance is poor. So far, variables influencing RPA user acceptance have not been systematically investigated. The objective of this paper is to develop a model for assessing RPA user acceptance as well as variables influencing it. We derive this model using the Technology Acceptance Model (TAM) and extend TAM by RPA-specific variables. Our empirical validation indicates that the most important variables, which significantly influence perceived usefulness and perceived ease of use are facilitating conditions, result demonstrability, innovation joy, and social influence. These findings can be used to derive concrete recommendations for the design and implementation of RPA bots increasing acceptance of employees using the bots during their daily work. For the first time, an RPA user acceptance model is presented and validated contributing to an increased maturity of RPA projects.
Kari Koskinen - One of the best experts on this subject based on the ideXlab platform.
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multi agent system enhanced supervision of Process Automation
Designing Interactive Systems, 2006Co-Authors: Teppo Pirttioja, Aarne Halme, Ilkka Seilonen, Antti Pakonen, Kari KoskinenAbstract:This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in Process Automation. Within this application area the amount of information gathered from the Processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in Process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information Processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario
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An approach to Process Automation based on cooperating subProcess agents
Lecture Notes in Computer Science, 2003Co-Authors: Ilkka Seilonen, Teppo Pirttioja, Pekka Appelqvist, Aarne Halme, Kari KoskinenAbstract:An approach to extend Process Automation systems with cooperating subProcess agents is presented in this paper. According to this approach a society of subProcess agents supervises an ordinary Process Automation system. The functionality of this agent layer includes supervising the lower-level Automation system, semi-autonomous reconfiguration of its control logic when needed and query Processing for external systems. In this way the approach aims for enhancing the operational flexibility of the Automation system. The subProcess agents utilize several agent-based cooperation mechanisms in order to be able to perform their tasks. The approach is demonstrated with a laboratory test Process where Process startup and fault-recovery scenarios have been imitated. Experiences from initial test runs are described, too.
