Potenziale von Künstlicher Intelligenz in der Dienstleistungsarbeit

Tombeil, Anne-Sophie; Kremer, David; Neuhüttler, Jens; Dukino, Claudia; Ganz, Walter

doi:10.1007/978-3-658-30168-2_5

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…Other important business areas are integrated through supporting roles such as human resources manager, change manager or the works council. As described by Anke et al (2020) and Tombeil et al (2021) before, our role model confirms that interdisciplinary teams, in our case, mainly consisting of roles from the areas of the production department and IT department, are needed for a successful development process. According to the interviewees, however, this is one of the biggest challenges that must be overcome.…”

Section: Discussionsupporting

confidence: 81%

“…The development and implementation of AI-based services is still a new application field and accordingly associated with new job roles and competences. Through the growing complexity of data-based services an interdisciplinary team is needed for a successful development process (Anke et al, 2020;Tombeil et al, 2021). According to Kutzias et al (2021) roles and competences are focused on newer data science process models.…”

Section: Role Models In Related Disciplinesmentioning

confidence: 99%

“…One popular example is the use of industrial computer vision (ICV) for detecting part or product failures during production automatically. However, since deploying AI is not a mere application of technology but about developing an intangible offer that is directed towards a change in the state of persons, objects, processes or information, we adopt a service systems perspective in our following work (Tombeil et al, 2020). Since in many cases, AIbased services are developed and provided by distinct organizational units to other units within the same company, we consider them as internal AI-based services.…”

Section: Introductionmentioning

confidence: 99%

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Introduction to the Minitrack on Cyber Deception and Cyberpsychology for Defense

Ferguson-Walter,

Fugate,

Lafon

et al. 2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Latest research has shown that one challenge for the development and implementation of Industrial AI-based services is uncertainty of roles and responsibilities. To address this challenge, we developed a generic role model for the systematic development of AI-based services in manufacturing. The role model describes which roles are necessary within the development process of an Industrial AI-based service. Thereby, a distinction is made whether the roles are assigned to the "core team", the "extended team" or participate in "supporting roles". Furthermore, the model shows whether the roles are involved in the "Ideation" phase, the "Requirements and design" phase, the "Test" phase or the "Implementation and roll-out" phase. Based on desktop research, semi-structured interviews and expert workshops we identified 22 roles that are relevant to the development and implementation of Industrial AI-based services.

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Section: Discussionsupporting

confidence: 81%

Section: Role Models In Related Disciplinesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Introduction to the Minitrack on Cyber Deception and Cyberpsychology for Defense

Ferguson-Walter,

Fugate,

Lafon

et al. 2024

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Due to the diversity of the topic, our paper does not claim to be exhaustive of the relevant topics and should, therefore, be understood as a first impulse. For example, one important topic is the design of databased services for the implementation of dynamic manufacturing processes, which are controlled automatically by data and AI applications [75]. We were also unable to consider the process of internal services transformation, i.e., which steps need to be taken in which order and with what intensity.…”

mentioning

confidence: 99%

Digital Factory Transformation from a Servitization Perspective: Fields of Action for Developing Internal Smart Services

Neuhüttler

Feike

Kutz

et al. 2023

Sci

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In recent years, a complex set of dynamic developments driven by both the economy and the emergence of digital technologies has put pressure on manufacturing companies to adapt. The concept of servitization, i.e., the shift from a product-centric to a service-centric value creation logic, can help manufacturing companies stabilize their business in such volatile times. Existing academic literature investigates the potential and challenges of servitization and the associated development of data-based services, so-called smart services, with a view to external market performance. However, with the increasing use of digital technologies in manufacturing and the development of internal smart services based on them, we argue that the existing insights on external servitization are also of interest for internal transformation. In this paper, we identify key findings from service literature, apply them to digital factory transformation, and structure them into six fields of action along the dimensions of people, technology, and organization. As a result, recommendations for designing digital factory transformation in manufacturing companies are derived from the perspective of servitization and developing internal smart services.

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Perceived Quality of Artificial Intelligence in Smart Service Systems: A Structured Approach

Neuhüttler

Fischer

Ganz

et al. 2020

Communications in Computer and Information Science

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Potenziale von Künstlicher Intelligenz in der Dienstleistungsarbeit

Cited by 14 publications

References 4 publications

Introduction to the Minitrack on Cyber Deception and Cyberpsychology for Defense

Introduction to the Minitrack on Cyber Deception and Cyberpsychology for Defense

Digital Factory Transformation from a Servitization Perspective: Fields of Action for Developing Internal Smart Services

Perceived Quality of Artificial Intelligence in Smart Service Systems: A Structured Approach

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