The Digital Twin – Birth of an Integrated System in the Digital Age

Wache, Hendrik; Dinter, Barbara

doi:10.24251/hicss.2020.671

Cited by 14 publications

(5 citation statements)

References 46 publications

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“…Neto et al (2020) finds from expert interviews that lack of structured project pathways to implement DT, and organization culture and strategy resistant to change are the major blockers for DT adaption, highlighting a lack of strategic vision in practitioners and organizations. Wache and Dinter (2020) reviews the DT literature and finds that the current literature solely focuses on technology deployment and underrepresents managerial/organizational point of view, critical for DT adaption. Perno et al (2022) reviews over 40 articles on DT implementation and finds that difficulty in making suitable decisions and investments regarding the enabling technologies (Ezhilarasu et al 2019) and difficulty in identifying clear value propositions associated with DT solutions (Wishnow et al 2019) as the barriers for its adaption in the industry.…”

Section: What Is a Dt?mentioning

confidence: 99%

Digital Twin: From Concept to Practice

2022

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Recent technological developments and advances in Artificial Intelligence (AI) have enabled sophisticated capabilities to be a part of Digital Twin (DT), virtually making it possible to introduce automation into all aspects of work processes. Given these possibilities that DT can offer, practitioners are facing increasingly difficult decisions regarding what capabilities to select while deploying a DT in practice. The lack of research in this field has not helped either. It has resulted in the rebranding and reuse of emerging technological capabilities like prediction, simulation, AI, and Machine Learning (ML) as necessary constituents of DT. Inappropriate selection of capabilities in a DT can result in missed opportunities, strategic misalignments, inflated expectations, and risk of it being rejected as just hype by the practitioners. To alleviate this challenge, this paper proposes the digitalization framework, designed and developed by following a Design Science Research (DSR) methodology over a period of 18 months. The framework can help practitioners select an appropriate level of sophistication in a DT by weighing 1the pros and cons for each level, deciding evaluation criteria for the digital twin system, and assessing the implications of the selected DT on the organizational processes and strategies, and value creation. Three real-life case studies illustrate the application and usefulness of the framework.

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Section: What Is a Dt?mentioning

confidence: 99%

Digital Twin: From Concept to Practice

2022

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“…In other words, notational abstraction necessitates putting humans back in the loop in the 4IR by requiring specification of actor, behaviour, machine entity, environment, and outcome. For example, application of formalised affordance theory in prior research examining the use of digital twins in the 4IR would complement work system theory by enabling precise specification of affordances pertinent to the digital twin context, including the role of humans in realising a range of potential effects (including unintended outcomes) (Wache & Dinter, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…For example, application of formalised affordance theory in prior research examining the use of digital twins in the 4IR would complement work system theory by enabling precise specification of affordances pertinent to the digital twin context, including the role of humans in realising a range of potential effects (including unintended outcomes) (Wache & Dinter, 2020).…”

Section: Affordance Theory Formalisationmentioning

confidence: 99%

Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution

Melville

Robert

Xiao

2022

Information Systems Journal

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The current technology epoch-sometimes called the fourth industrial revolution (4IR)-involves the innovative application of rapidly advancing digital technologies such as artificial intelligence. Societal implications of the 4IR are significant and wide ranging, from life-saving drug development to privacy loss and app addiction. A review of the information systems literature, however, reveals a narrow focus on technology-enabled business benefits. Scant research attention has been paid to the role of humans and humanistic outcomes. To spur new research addressing these issues, formalized affordance theory is employed to develop a new 4IR conceptualization. Four groupings of affordances that capture salient 4IR action possibilities are developed within two categories: machine emulation of human cognition (expansive decision making and creativity automation) and machine emulation of human communication (relationship with humans and intermachine teaming). Implications are explored in the context of human-machine coworking and the development of artificial intelligence safety regulations. Overall, the affordance conceptualization of the 4IR advances a new sociotechnical lexicon of action possibilities and their joint enactment in achieving humanistic and instrumental outcomes, enabling alignment of the scope of 4IR research with the scope of 4IR phenomena-and bringing humans back into the loop.

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“…Thus, without proper management of data at the city or even national level, their potential cannot be fully realized, digitization projects will always prove challenging, and a holistic view of the entire city will not be realized. Data governance can help overcome these challenges and create semantic compatibility between different technologies and data silos and bring stakeholders together through standardized data processes, data models and policies [11,12,13]. While many publications deal with ICT architectures and IoT implementations in cities [9,14,15], only a few studies focus on data governance in an urban context [16,17,18].…”

Section: Introductionmentioning

confidence: 99%

A Literature Review of Data Governance and Its Applicability to Smart Cities

Bozkurt¹,

Rossmann²,

Pervez³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Data governance have been relevant for companies for a long time. Yet, in the broad discussion on smart cities, research on data governance in particular is scant, even though data governance plays an essential role in an environment with multiple stakeholders, complex IT structures and heterogeneous processes. Indeed, not only can a city benefit from the existing body of knowledge on data governance, but it can also make the appropriate adjustments for its digital transformation. Therefore, this literature review aims to spark research on urban data governance by providing an initial perspective for future studies. It provides a comprehensive overview of data governance and the relevant facets embedded in this strand of research. Furthermore, it provides a fundamental basis for future research on the development of an urban data governance framework.

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The Digital Twin – Birth of an Integrated System in the Digital Age

Cited by 14 publications

References 46 publications

Digital Twin: From Concept to Practice

Digital Twin: From Concept to Practice

Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution

A Literature Review of Data Governance and Its Applicability to Smart Cities

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