[AISWorld] BPM *RPA FORUM* - Call for Papers

[Simone Agostinelli]

****************************************************
    Call for Contributions

                  RPA FORUM
22nd International Conference on Business Process Management

 (BPM 2024)

https://bpm2024.agh.edu.pl/call-for-rpa-forum/

       01-06 September 2024 - Krakow (Poland)
****************************************************


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