Abstract

The technological enablers for process automation have experienced a fast-paced development in the past decades (Omohundro, 2014). In organizations, the adoption of autonomous technologies could bring many benefits, as they offer the potential to increase the efficiency and precision of operations (Jovanovic et al., 2019; Mallam et al., 2020), to compensate human workers’ limitations in uncomfortable and repetitive physical tasks (Kadir et al., 2019), or to reduce labour-related costs (Jovanovic et al., 2019; Omohundro, 2014). Nevertheless, new challenges emerge when implementing autonomous technologies in organizational processes, such as human element issues (Mallam et al., 2020; Nazir et al., 2014), new weaknesses within the system (Behymer & Flach, 2016; Mallam et al., 2020; Omohundro, 2014), or emerging regulatory, liability, and security concerns (Mallam et al., 2020), which make adoption hard to achieve. This PhD research aims to understand the organizational tensions among workplace innovation, human workers, and process automation, in order to create guidelines that will favour a sustainable and long-term adoption of the technology. The project is framed within the collaboration between an international airport and the Industrial Design Engineering faculty of the XX. An action research methodology is followed (Cassell & Johnson, 2006), meaning that the PhD researcher is embedded in the organization and actively participates in daily practice. The XX is currently working towards the implementation of autonomous operations in the airside of Airport XX; XX’s airside (i.e., the side of an airport terminal dedicated to supporting airplanes and their inherent baggage, passenger, and resource flows) is a multi-stakeholder ecosystem, characterized by high degrees of instability, uncertainty, and unpredictability, which makes it an especially complex and worth studying context for automation. In a context where technology has radically changed the way how we live and frame human work (Kadir et al., 2019), our research aims to contribute to the understanding of the role automation can have in organizations. Methods and tools from design research will be used, as the approach is suitable not only to understand the problem from multiple perspectives (i.e., technological-, organizational-, and human-perspectives) but also to provide a systemic vision of the challenge, that is necessary to transform organizational cultures towards the future. The PhD researcher is currently in their 1st year. As a first study, the PhD will be inquiring about the organizational tensions and implications that currently hinder the adoption of autonomous processes. Once those tensions are mapped, intervention studies will be proposed with the aim to design and validate strategies that leverage them and facilitate a sustainable implementation of the technology.

Keywords

Package design, Printing technology, Food culture, Cultural progress, Media

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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doctoralpapers

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Oct 9th, 9:00 AM

Investigating the adoption of autonomous processes in the context of organizations

The technological enablers for process automation have experienced a fast-paced development in the past decades (Omohundro, 2014). In organizations, the adoption of autonomous technologies could bring many benefits, as they offer the potential to increase the efficiency and precision of operations (Jovanovic et al., 2019; Mallam et al., 2020), to compensate human workers’ limitations in uncomfortable and repetitive physical tasks (Kadir et al., 2019), or to reduce labour-related costs (Jovanovic et al., 2019; Omohundro, 2014). Nevertheless, new challenges emerge when implementing autonomous technologies in organizational processes, such as human element issues (Mallam et al., 2020; Nazir et al., 2014), new weaknesses within the system (Behymer & Flach, 2016; Mallam et al., 2020; Omohundro, 2014), or emerging regulatory, liability, and security concerns (Mallam et al., 2020), which make adoption hard to achieve. This PhD research aims to understand the organizational tensions among workplace innovation, human workers, and process automation, in order to create guidelines that will favour a sustainable and long-term adoption of the technology. The project is framed within the collaboration between an international airport and the Industrial Design Engineering faculty of the XX. An action research methodology is followed (Cassell & Johnson, 2006), meaning that the PhD researcher is embedded in the organization and actively participates in daily practice. The XX is currently working towards the implementation of autonomous operations in the airside of Airport XX; XX’s airside (i.e., the side of an airport terminal dedicated to supporting airplanes and their inherent baggage, passenger, and resource flows) is a multi-stakeholder ecosystem, characterized by high degrees of instability, uncertainty, and unpredictability, which makes it an especially complex and worth studying context for automation. In a context where technology has radically changed the way how we live and frame human work (Kadir et al., 2019), our research aims to contribute to the understanding of the role automation can have in organizations. Methods and tools from design research will be used, as the approach is suitable not only to understand the problem from multiple perspectives (i.e., technological-, organizational-, and human-perspectives) but also to provide a systemic vision of the challenge, that is necessary to transform organizational cultures towards the future. The PhD researcher is currently in their 1st year. As a first study, the PhD will be inquiring about the organizational tensions and implications that currently hinder the adoption of autonomous processes. Once those tensions are mapped, intervention studies will be proposed with the aim to design and validate strategies that leverage them and facilitate a sustainable implementation of the technology.

 

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