Edona Elshan
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Dr.
Last Name
Elshan
First name
Edona
Email
edona.elshan@unisg.ch
Phone
+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
    Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence
    ( 2021-01)
    Elshan, Edona
    ;
    Engel, Christian
    ;
    Ebel, Philipp
    The ever-increasing complexity of the music industry and the intensified resentment of artists towards collecting societies call for a transformation and a change of behavior within the music ecosystem. This article introduces a hybrid intelligence system, that ameliorates the current situation by combining the intelligence of humans and machines. This study proposes design requirements for hybrid intelligence systems in the music industry. Using a design science research approach, we identify design requirements both inductively from expert interviews and deductively from theory and present a first prototypical instantiation of a respective hybrid intelligence system. Overall, this shall enrich the body of knowledge of hybrid intelligence research by transferring its concepts into a new context. Furthermore, the identified design requirements shall serve as a foundation for researchers and practitioners to further explore and design hybrid intelligence in the music industry and beyond.
    Type: conference paper
    Journal: Hawaii International Conference on System Sciences (HICSS)
    DOI: 10.24251/HICSS.2021.671
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/110755