Philipp Alexander Ebel
Thumbnail Image
Title
Prof. Dr.
Last Name
Ebel
First name
Philipp Alexander
Email
philipp.ebel@unisg.ch
Phone
+41 71 224 3210

Filters
Reset filters

Settings
Now showing 1 - 10 of 26
  • Publication
    An Investigation of Why Low Code Platforms Provide Answers and New Challenges
    ( 2023-01-06)
    Elshan, Edona
    ;
    Dickhaut, Ernestine
    ;
    Ebel, Philipp
    Although the idea of low code development is not new, the market for these oftentimes platform-based development approaches is exponentially growing. Especially factors such as increasing affinity for technology development across all user groups, consumerization of development, and advancing digitalization are opening a new target group for the low code movement. The broad application possibilities of low code, as well as the benefits, are therefore getting more important for businesses. Especially for small and medium-sized enterprises (SMEs), low code constitutes a promising avenue to survive and succeed in the rapidly changing world. However, a clear understanding regarding the application of this paradigm of software development in SMEs is still missing. To provide a coherent understanding of the phenomenon low code in SMEs, we review extant literature and conduct interviews, identifying potential application domains and conceptualizing the benefits and challenges of low code from a holistic perspective.
    Type: conference paper
    Journal: Hawaii International Conference on System Sciences (HICSS)
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/107799
  • Publication
    Illuminating Smart City Solutions -A Taxonomy and Clusters
    ( 2023-12)
    Jonas, Claudius
    ;
    Schmitt, Kevin
    ;
    Oberländer, Anna
    ;
    Ebel, Philipp
    With urban problems intensifying, Smart City solutions are recognized by researchers and practitioners as one of the most promising solutions to make urban areas economically, environmentally, and socially sustainable. While many elements of Smart City solutions have been explored, existing works either treat Smart City solutions as technical black boxes or focus exclusively on Smart City solutions' technical or nontechnical characteristics. Therefore, to conceptualize the unique characteristics of Smart City solutions currently available, we developed a multi-layer taxonomy based on Smart City solution literature and a sample of 106 Smart City solutions. Moreover, we identified three clusters, each covering a typical combination of characteristics of Smart City solutions. We evaluated our findings by applying the Q-sort method. The results contribute to the descriptive knowledge of Smart City solutions as a first step for a theory for analyzing and enable researchers and practitioners to understand Smart City solutions more holistically.
    Type: conference paper
    URL: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1290&context=icis2023
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/118661
  • Publication
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108665
  • Publication
    Requirements for AI-based Teammates: A Qualitative Inquiry in the Context of Creative Workshops
    ( 2022-01-04)
    Elshan, Edona
    ;
    Siemon, Dominik
    ;
    de Vreede, Triparna
    ;
    de Vreede, Gert-Jan
    ;
    Oeste-Reiß, Sarah
    ;
    Ebel, Philipp
    Innovation requires organizations to tap into the knowledge and creativity of teams. However, teams are confronted with massive amounts of data and information, necessitating a broad set of knowledge, methodologies, and approaches to solve problems and innovate. Consequently, team composition has become a critical challenge. Recent advances in artificial intelligence (AI) may assist in addressing this challenge. As AI is permeating both business and private sectors, organizational teams may be augmented with AI team members. However, given the nascent nature of this phenomenon, little is known about the specific roles and requirements for such AI teammates. Within an interview study we discover common challenges in teams and identify recurring capability gaps of participants and behaviors that negatively impact the team's collective performance. Based on our findings, we propose requirements for AI-based teammates to address these gaps and support beneficial collaboration between humans and AI in teams.
    Type: conference paper
    Journal: Hawaii International Conference on System Sciences (HICSS)
    URL: http://hdl.handle.net/10125/79350
    DOI: 10.24251/HICSS.2022.020
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109097
  • Publication
    Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases
    ( 2022-01)
    Engel, Christian
    ;
    Schulze Buschhoff, Julius Constantin
    ;
    Ebel, Philipp
    The deployment of Artificial Intelligence (AI) in businesses is said to provide significant benefits to organizations. However, many businesses struggle to align single AI use cases with the overall strategic business value contribution. Thus, we investigate the strategic characteristics that determine the business value contribution of AI use cases at an organizational level. We draw on academic literature and 106 AI use cases to develop a conceptually sound and empirically grounded taxonomy of the organizational business value of AI use cases. With the developed taxonomy, decision-makers are presented with a tool to systematically align AI use cases with strategic objectives. Moreover, our findings reveal how an AI use case can generate different business value contributions in different contexts, which provides researchers with a conceptual frame for informing their empirical research endeavors at the organizational level.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109118
  • Publication
    Examining the Antecedents of Creative Collaboration with an AI Teammate
    ( 2022-12-14)
    Siemon, Dominik
    ;
    Elshan, Edona
    ;
    de Vreede, Triparna
    ;
    Oeste-Reiß, Sarah
    ;
    de Vreede, Gert Jan
    ;
    Ebel, Philipp
    With the advent of artificial intelligence (AI), individuals are increasingly teaming up with AI-based systems to enhance their creative collaborative performance. When working with AI-based systems, several aspects of team dynamics need to be considered, which raises the question how humans’ approach and perceive their new teammates. In an experimental setting, we investigate the influence of social presence in a group ideation process with an AI-based teammate and examine its effects on the motivation to contribute. Our results show a multi-mediation model in which social presence indirectly influences whether human team members are motivated to contribute to a team with AI-based teammates, which is mediated by willingness to depend and team-oriented commitment.
    Type: conference paper
    Journal: International Conference on Information Systems (ICIS)
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/107975
  • 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
  • Publication
    Deploying a Model for Assessing Cognitive Automation Use Cases: Insights from Action Research with a Leading European Manufacturing Company
    ( 2021-01)
    Engel, Christian Thomas
    ;
    Elshan, Edona
    ;
    Ebel, Philipp
    Cognitive automation moves beyond rule-based automation and thus imposes novel challenges on organizations when assessing the automation potential of use cases. Thus, we present an empirically grounded and conceptually operationalized model for assessing cognitive automation use cases, which consists of four assessment dimensions: data, cognition, relationship, and transparency requirements. We apply the model in a real-world organizational context in the course of an action research project at the customer service department of ManuFact AG, and present unique empirical insights as well as the impact the application of the model had on the organization. The model shall help practitioners to make more informed decisions on selecting use cases for cognitive automation and to plan respective endeavors. For research, the identified factors affecting the suitability of a use case for cognitive automation shall deepen our understanding of cognitive automation in particular, and AI as the driving force behind cognitive automation in general.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/110756
  • Publication
    Empirically Exploring the Cause-Effect Relationships of AI Characteristics, Project Management Challenges, and Organizational Change
    ( 2021-02)
    Engel, Christian
    ;
    Ebel, Philipp
    ;
    van Giffen, Benjamin
    Artificial Intelligence (AI) provides organizations with vast opportunities of deploying AI for competitive advantage such as improving processes, and creating new or enriched products and services. However, the failure rate of projects on implementing AI in organizations is still high, and prevents organizations from fully seizing the potential that AI exhibits. To contribute to closing this gap, we seize the unique opportunity to gain insights from five organizational cases. In particular, we empirically investigate how the unique characteristics of AI – i.e. experimental character, context sensitivity, black box character, and learning requirements – induce challenges into project management, and how these challenges are addressed in organizational (socio-technical) contexts. This shall provide researchers with an empirical and conceptual foundation for investigating the cause-effect relationships between the characteristics of AI, project management, and organizational change. Practitioners can benchmark their own practices against the insights to increase the success rates of future AI implementations.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/110679
  • 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