Edona Elshan
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Dr.
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Elshan
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Edona
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edona.elshan@unisg.ch
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+41 71 224 3304

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  • Publication
    Stairway to Heaven or Highway to Hell: A Model for Assessing Cognitive Automation Use Cases
    ( 2023)
    Christian Engel
    ;
    Edona Elshan
    ;
    Philipp Alexander Ebel
    ;
    Jan Marco Leimeister
    Cognitive automation (CA) moves beyond rule-based business process automation to target cognitive knowledge and service work. This allows the automation of tasks and processes, for which automation seemed unimaginable a decade ago. To organizations, these CA use cases offer vast opportunities to gain a significant competitive advantage. However, CA imposes novel challenges on organizations’ decisions regarding the automation potential of use cases, resulting in low adoption and high project failure rates. To counteract this, we draw on an action research study with a leading European manufacturing company to develop and test a model for assessing use cases’ amenability to CA. The proposed model comprises four dimensions: cognition, data, relationship, and transparency requirements. The model proposes that a use case is less (more) amenable to CA if these requirements are high (low). To account for the model’s industry-agnostic generalizability, we draw on an internal evaluation within the action research company and three additional external evaluations undertaken by independent project teams in three distinct industries. From a practice perspective, the model will help organizations make more informed decisions in selecting use cases for CA and planning their respective initiatives. From a research perspective, the identified determinants affecting use cases’ amenability to CA will enhance our understanding of CA in particular and artificial intelligence as the driving force behind CA in general.
    Type: journal article
    Journal: Journal of Information Technology
    URL: https://journals.sagepub.com/doi/10.1177/02683962231185599
    DOI: 10.1177/02683962231185599
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/117636
    Scopus© Citations 1
  • Publication
    Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases
    ( 2021-12)
    Engel, Christian
    ;
    Elshan, Edona
    ;
    Ebel, Philipp
    Facilitated by Artificial Intelligence technology, cognitive automation means to front and back offices what the pervasive automation through physical machinery and robots meant to production plants. Thus, we can automate tasks and processes that were unimaginable to be automated one decade ago. However, organizational adoption of cognitive automation is way below its possibilities, as this novel class of automation technology is perceived to be risky by organizations. This demands structured approaches for assessing the suitability of use cases for cognitive automation. Following the Design Science Research paradigm, we develop a method for assessing cognitive automation use cases. This enables practitioners to make more informed decisions on selecting, specifying, and embedding cognitive automation use cases in their organizations. For researchers, the method serves as a conceptual frame, which they can adapt to guide their empirical research or to use it for developing future decision support to shape the future of work.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109665