Creation and Appropriation of Knowledge Systems
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ItemIt’s Just Emotion Taking Me Over: Investigating the Role of Emotions in Knowledge Management Research( 2018-01-03)The importance of emotions has increasingly been recognized in the information systems field. Emotions do not only influence the human mind, but can also be transferred to others through knowledge. This transfer of knowledge is part of the broader organizational concept of knowledge management (KM) and requires the attention of researchers interested in emotions and emotion theories. Therefore, our paper presents a systematic review of existing evidence on the emotions’ role in KM research. Our review shows that despite KM’s long tradition, there is only limited evidence as to how emotions are related to KM, most of which mention emotions as motivation for KM. As a result of our study, we identify four research opportunities to further examine certain aspects of emotions’ role in KM.
ItemKnowing and Designing: Understanding Information Use in Open Source Design Through the Lens of Information Archetypes( 2018-01-03)The early phases of the product design process are crucial to the success of design outcomes. While information utilized during idea development has tremendous potential to impact the final design, there is a lack of understanding about the types of information utilized in industry, making it challenging to develop and teach methodologies that support the design of competitive products. As a first step in understanding this process, this study focuses on developing a framework of Information Archetypes utilized by designers in industry. This was accomplished through in-depth analysis of qualitative interviews with large software engineering companies. The results reveal two archetypes of information utilized by decision-makers within these companies during the development of new products and services. The findings of this study allow for future research that investigates the role of information during the product design process.
ItemA Proposal for Deploying Hybrid Knowledge Bases: the ADOxx-to-GraphDB Interoperability Case( 2018-01-03)Graph Database Management Systems brought data model abstractions closer to how humans are used to handle knowledge - i.e., driven by inferences across complex relationship networks rather than by encapsulating tuples under rigid schemata. Another discipline that commonly employs graph-like structures is diagrammatic Conceptual Modeling, where intuitive, graphical means of explicating knowledge are systematically studied and formalized. Considering the common ground of graph databases, the paper proposes an integration of OWL ontologies with diagrammatic representations as enabled by the ADOxx metamodeling platform. The proposal is based on the RDF-semantics variant of OWL and leads to a particular type of hybrid knowledge bases hosted, for proof-of-concept purposes, by the GraphDB system due to its inferencing capabilities. The approach aims for complementarity and integration, providing agile diagrammatic means of creating semantic networks that are amenable to ontology-based reasoning.
ItemKnowledge Blockchains: Applying Blockchain Technologies to Enterprise Modeling( 2018-01-03)Blockchains permit to store information in a tamper-resistant and irrevocable manner by reverting to distributed computing and cryptographic technologies. The primary purpose is to keep track of the ownership of tangible and intangible assets. In the paper at hand we apply these concepts and technologies to the domain of knowledge management. Based on the explication of knowledge in the form of enterprise models this permits the application of so-called knowledge proofs for a. enabling the transparent monitoring of knowledge evolution, b. tracking the provenance, ownership, and relationships of knowledge in an organization, c. establishing delegation schemes for knowledge management, and d. ensuring the existence of patterns in models via zero-knowledge proofs. To validate the technical feasibility of the approach a first technical implementation is described and applied to a fictitious use case.
ItemYou'll Be Surprised - Digital Business Strategy as Driver of Organizational Innovativeness( 2018-01-03)The presence of digital infrastructures fundamentally changes market conditions, business and IT strategy, and consequently organizational structures. This research investigates how the concept of a digital business strategy leads to increased organizational innovativeness and firm performance. We demonstrate how IT capabilities contribute to organizational innovativeness and induce the CIO’s positive role for IT-enabled business innovation. By means of an online survey among 228 IT decision makers in knowledge-intensive industries in the U.S., the results reveal organizational innovativeness being significantly higher influenced by the IT knowledge of business employees in organizations giving the digital business strategy high importance, whereas the top management team IT knowledge plays a greater role when digital business strategy is given low priority. By this research, we deliver first results of consequences for organizations conducting a digital business strategy and contribute to the discussion on IT-enabled innovation, CIO leadership, and the increasing relevance of organization-wide IT capabilities.