****************************************************** ** Robotic Process Automation (RPA) Forum ** ** 22nd Business Process Management Conference ** ** Sep. 3-5, 2024 ** ** Krakow, Poland ** ** https://bpm2024.agh.edu.pl/call-for-rpa-forum/ ** ******************************************************
### Call for Papers: Robotic Process Automation (RPA) Forum *RPA Forum Chairs* Simone Agostinelli, Sapienza Università di Roma, Italy Daniel Amyot, University of Ottawa, Canada Henrik Leopold, Kühne Logistics University / Hasso Plattner Institute, University of Potsdam, Germany *Important Dates* Abstract submission: TUE 21 May 2024 Paper submission: TUE 28 May 2024 Author notification: THU 27 June 2024 Camera-ready submission: FRI 5 July 2024 RPA Forum: 3-5 September 2024 *Call for Robotic Process Automation (RPA) Forum papers* Robotic Process Automation (RPA) is a maturing technology in the field of Business Process Management (BPM). RPA allows organizations to automate high-volume and repetitive tasks – also referred to as routines – performed by human users. The enactment of these routines is emulated by means of a software robot that works on the applications’ user interfaces (UIs) in the same way as the original human operators did. Examples of those routine tasks include data transfer between applications, automated email query processing, and collation of payroll data from different sources. However, RPA is much more than just technological innovation. It enables a digital task force and, what is more important, a control mechanism over it. Its objectives also extend beyond cutting costs: RPA directly addresses the digital transformation of companies by creating new value, improving the quality of services and products, reducing and controlling execution times, and improving work satisfaction by liberating employees from repetitive and tedious tasks. At this point in time, RPA has reached a certain level of technological maturity and organizational adoption. This means researchers now have the opportunity to examine RPA from a broader perspective, encompassing three distinct viewpoints: 1) Low-code automation: RPA is part of a development towards low-code automation aimed at building and automating processes with off-the-shelf software solutions that do not require extensive programming skills. 2) RPA for smart automation: RPA can be combined with other technologies, such as process mining, OCR, or chatbots, with the goal of a more flexible, holistic process automation. 3) AI-empowered RPA: a new level of automation targeted to inject AI, ML or LLM capabilities to identify routine tasks from multiple session recordings that are suitable for automation. This goes beyond conventional rule-based approaches, allowing for a more intelligent and adaptable automation strategy. The capabilities and opportunities of RPA challenge a broad set of research communities. Computer scientists are attracted to its various technical aspects. Economists study the impact of RPA on labor and organizational effectiveness. Engineers are enabled to connect different data sources, improve the quality of the data, and accelerate data analysis. RPA is particularly interesting for information systems scholars because it constitutes a technological innovation that impacts how individuals interact with software, contributes to the digital transformation of organizations, and has social implications since it may reduce work opportunities for those people who are carrying out simple, manual work. This forum aims to bring together researchers from various communities and disciplines to discuss challenges, opportunities, and new ideas that relate to RPA and its application to business processes in private and public sectors. It is a unique setting where technical, business-oriented, and human-centered perspectives will come together. *Topics* The forum solicits contributions related to RPA including, but not limited to, the following topics: - Management of RPA and process automation in general, e.g., organizational expectations on RPA, RPA and digital transformation/innovation, and organizational/social impact of RPA; - Technology for RPA-powered process automation, e.g., technological advances such as AI in combination with RPA, novel paradigms for employing RPA, RPA architectures and platforms; - Application of RPA-powered process automation, e.g., use cases or case studies in various industries or business functions. *Paper submission* Prospective authors are invited to submit original, unpublished papers on any of the forum's topics. Papers must be written in English and must not simultaneously be submitted to another journal, conference, or workshop. We invite papers that (i) focus on technical aspects, (ii) describe new research positions or approaches (exploratory papers), or (iii) focus on evaluating existing problem situations (experience papers). The maximum length of the paper is 15 pages (including the title page, references, appendices, etc.). Shorter papers are explicitly welcomed. Submissions must be prepared according to the format of Lecture Notes in Business Information Processing (LNBIP) specified by Springer (https://www.springer.com/series/7911). The title page must contain a short abstract and a list of keywords. Papers must be submitted electronically in PDF format via the BPM 2024 EasyChair submission site (https://easychair.org/conferences/?conf=bpm2024) by selecting “BPM 2024 Robotic Process Automation Forum”. To facilitate a quick review process, authors are kindly asked to submit their (preliminary) abstract a week earlier. *Program Committee* Aleksandre Asatiani, University of Gothenburg, Sweden Bernhard Axmann, Technical University of Ingolstadt, Germany Adela del Río-Ortega, University of Seville, Spain José González Enríquez, University of Seville, Spain Peter Fettke, German Research Center for Artificial Intelligence (DFKI), and Saarland University, Germany Hannu Jaakkola, University of Tampere, Finland Christian Janiesch, TU Dortmund University, Germany Andrés Jiménez Ramírez, University of Seville, Spain Abderrahmane Leshob, The Université du Québec à Montréal (UQAM), Canada Fabrizio Maria Maggi, University of Bolzano, Italy Andrea Marrella, Sapienza University of Rome, Italy Massimo Mecella, Sapienza University of Rome, Italy Dan O’Leary, University of Southern California, USA Teijo Peltoniemi, University of Turku, Finland Petr Průcha, Technical University of Liberec, Czech Republic Jana-Rebecca Rehse, Universität Mannheim, Germany Yara Rizk, IBM Research, USA Rehan Syed, Queensland University of Technology, Australia Lucineia Heloisa Thom, Federal University of Rio Grande do Sul, Brasil Inge van de Weerd, Utrecht University, The Netherlands Maximilian Völker, Hasso Plattner Institut, Germany Moe Wynn, Queensland University of Technology, Australia ________________________________ From: Winkler Sarah Sent: Friday, February 16, 2024 9:56 AM To: is-...@list.utas.edu.au <is-...@list.utas.edu.au> Subject: Call for Papers: Robotic Process Automation Forum @ BPM 2024 ****************************************************** ** Robotic Process Automation (RPA) Forum ** ** 22nd Business Process Management Conference ** ** Sep. 3-5, 2024 ** ** Krakow, Poland ** ** https://bpm2024.agh.edu.pl/call-for-rpa-forum/ ** ****************************************************** ### Call for Papers: Robotic Process Automation (RPA) Forum *RPA Forum Chairs* Simone Agostinelli, Sapienza Università di Roma, Italy Daniel Amyot, University of Ottawa, Canada Henrik Leopold, Kühne Logistics University / Hasso Plattner Institute, University of Potsdam, Germany *Important Dates* Abstract submission: TUE 21 May 2024 Paper submission: TUE 28 May 2024 Author notification: THU 27 June 2024 Camera-ready submission: FRI 5 July 2024 RPA Forum: 3-5 September 2024 *Call for Robotic Process Automation (RPA) Forum papers* Robotic Process Automation (RPA) is a maturing technology in the field of Business Process Management (BPM). RPA allows organizations to automate high-volume and repetitive tasks – also referred to as routines – performed by human users. The enactment of these routines is emulated by means of a software robot that works on the applications’ user interfaces (UIs) in the same way as the original human operators did. Examples of those routine tasks include data transfer between applications, automated email query processing, and collation of payroll data from different sources. However, RPA is much more than just technological innovation. It enables a digital task force and, what is more important, a control mechanism over it. Its objectives also extend beyond cutting costs: RPA directly addresses the digital transformation of companies by creating new value, improving the quality of services and products, reducing and controlling execution times, and improving work satisfaction by liberating employees from repetitive and tedious tasks. At this point in time, RPA has reached a certain level of technological maturity and organizational adoption. This means researchers now have the opportunity to examine RPA from a broader perspective, encompassing three distinct viewpoints: 1) Low-code automation: RPA is part of a development towards low-code automation aimed at building and automating processes with off-the-shelf software solutions that do not require extensive programming skills. 2) RPA for smart automation: RPA can be combined with other technologies, such as process mining, OCR, or chatbots, with the goal of a more flexible, holistic process automation. 3) AI-empowered RPA: a new level of automation targeted to inject AI, ML or LLM capabilities to identify routine tasks from multiple session recordings that are suitable for automation. This goes beyond conventional rule-based approaches, allowing for a more intelligent and adaptable automation strategy. The capabilities and opportunities of RPA challenge a broad set of research communities. Computer scientists are attracted to its various technical aspects. Economists study the impact of RPA on labor and organizational effectiveness. Engineers are enabled to connect different data sources, improve the quality of the data, and accelerate data analysis. RPA is particularly interesting for information systems scholars because it constitutes a technological innovation that impacts how individuals interact with software, contributes to the digital transformation of organizations, and has social implications since it may reduce work opportunities for those people who are carrying out simple, manual work. This forum aims to bring together researchers from various communities and disciplines to discuss challenges, opportunities, and new ideas that relate to RPA and its application to business processes in private and public sectors. It is a unique setting where technical, business-oriented, and human-centered perspectives will come together. *Topics* The forum solicits contributions related to RPA including, but not limited to, the following topics: - Management of RPA and process automation in general, e.g., organizational expectations on RPA, RPA and digital transformation/innovation, and organizational/social impact of RPA; - Technology for RPA-powered process automation, e.g., technological advances such as AI in combination with RPA, novel paradigms for employing RPA, RPA architectures and platforms; - Application of RPA-powered process automation, e.g., use cases or case studies in various industries or business functions. *Paper submission* Prospective authors are invited to submit original, unpublished papers on any of the forum's topics. Papers must be written in English and must not simultaneously be submitted to another journal, conference, or workshop. We invite papers that (i) focus on technical aspects, (ii) describe new research positions or approaches (exploratory papers), or (iii) focus on evaluating existing problem situations (experience papers). The maximum length of the paper is 15 pages (including the title page, references, appendices, etc.). Shorter papers are explicitly welcomed. Submissions must be prepared according to the format of Lecture Notes in Business Information Processing (LNBIP) specified by Springer (https://www.springer.com/series/7911). The title page must contain a short abstract and a list of keywords. Papers must be submitted electronically in PDF format via the BPM 2024 EasyChair submission site (https://easychair.org/conferences/?conf=bpm2024) by selecting “BPM 2024 Robotic Process Automation Forum”. To facilitate a quick review process, authors are kindly asked to submit their (preliminary) abstract a week earlier. *Program Committee* Aleksandre Asatiani, University of Gothenburg, Sweden Bernhard Axmann, Technical University of Ingolstadt, Germany Adela del Río-Ortega, University of Seville, Spain José González Enríquez, University of Seville, Spain Peter Fettke, German Research Center for Artificial Intelligence (DFKI), and Saarland University, Germany Hannu Jaakkola, University of Tampere, Finland Christian Janiesch, TU Dortmund University, Germany Andrés Jiménez Ramírez, University of Seville, Spain Abderrahmane Leshob, The Université du Québec à Montréal (UQAM), Canada Fabrizio Maria Maggi, University of Bolzano, Italy Andrea Marrella, Sapienza University of Rome, Italy Massimo Mecella, Sapienza University of Rome, Italy Dan O’Leary, University of Southern California, USA Teijo Peltoniemi, University of Turku, Finland Petr Průcha, Technical University of Liberec, Czech Republic Jana-Rebecca Rehse, Universität Mannheim, Germany Yara Rizk, IBM Research, USA Rehan Syed, Queensland University of Technology, Australia Lucineia Heloisa Thom, Federal University of Rio Grande do Sul, Brasil Inge van de Weerd, Utrecht University, The Netherlands Maximilian Völker, Hasso Plattner Institut, Germany Moe Wynn, Queensland University of Technology, Australia
