Call for Papers, Issue 3/2022
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CALL FOR PAPERS
Call for Papers, Issue 3/2022 Sustainable Autonomous Systems Roman Beck • Jens Dibbern • Martin Wiener
Ó Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020
1 Special Issue The ongoing digital transformation is challenging the way business is conducted and how value is created and captured. While prior digitalization waves focused on replacing paper as physical carrier of information, leveraging the Internet as global communication infrastructure, and developing reactive, partly automated business processes and systems (e.g., Legner et al. 2017), the next wave will be about transforming these processes/systems into proactive sustainable autonomous systems (SAS). Such SAS are characterized by complex ‘‘systems of systems’’ of different age, quality, reliability, and performance, which may develop their own dynamics. A unique characteristic of SAS is their reliance on large amounts of data, along with the use of advanced technologies—such as the Internet of Things, Artificial Intelligence, or Blockchain—that allow for gathering and processing ‘big’ data with limited, or even no, human involvement. Even though SAS are designed, developed, and implemented in a process of socio-technical interaction; once in use, they take on the role of agents that make decisions and perform actions R. Beck Business IT Department, IT University of Copenhagen, Copenhagen, Denmark e-mail: [email protected] J. Dibbern (&) Institute of Information Systems, Information Engineering, University of Bern, Bern, Switzerland e-mail: [email protected] M. Wiener Chair of Business Informatics, Esp. Business Engineering, TU Dresden, Dresden, Germany e-mail: [email protected]
independently of humans. In other words, what has been created in a socio-technical way by implementing patterns—including organizational rules, as well as social norms and values—into a technical system, turns into a techno-social system once operating, where social actors in the organizational environment respond to the technical system and where the system may self-adapt to environmental changes. Thus, agency, decision rights, and responsibility are handed over to autonomous systems, while the ultimate accountability and decision rights to change the systems may still reside with the governing entity owning those systems. By now, SAS can be found in various fields of application. Popular examples include driverless cars, smart cities, and smart homes, which often rely on a combination of sensors, algorithms, and self-executable code. Besides these tangible SAS, we note a growing number of intangible SAS in the form of software systems that operate either entirely in the background or at the interface with humans. Examples are intelligent chatbots and recommender systems, as well as algorithmic management and control systems, such as the ones used by Uber and other gig economy firms to control the behaviors of their digital workforce (e.g., Kellogg et al. 2020). Autonomous systems, however, do not only differ in terms of applica
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