Refine
Year of publication
Document Type
- Article (145)
- Monograph/Edited Volume (26)
- Part of a Book (21)
- Conference Proceeding (20)
- Postprint (15)
- Other (7)
- Contribution to a Periodical (5)
- Doctoral Thesis (1)
- Review (1)
Keywords
- knowledge management (7)
- Industrie 4.0 (5)
- Industry 4.0 (5)
- deep reinforcement learning (5)
- production control (5)
- ERP (4)
- Enterprise-Resource-Planning (4)
- digital learning (4)
- machine learning (4)
- systematic literature review (4)
- COVID-19 (3)
- CPPS (3)
- CPS (3)
- Digitale Plattformen (3)
- JSP (3)
- KMU (3)
- Marktübersicht (3)
- adaptability (3)
- business processes (3)
- change management (3)
- evaluation (3)
- industry 4.0 (3)
- intentional forgetting (3)
- knowledge transfer (3)
- learning factories (3)
- learning factory (3)
- modular production (3)
- multi-agent system (3)
- neural networks (3)
- situational strength (3)
- vocational training (3)
- Digitalisierung (2)
- ERP system (2)
- ERP-/PPS-Systeme (2)
- ERP-System (2)
- Enterprise Resource Planning (2)
- Geschäftsmodell (2)
- Hinweisreize (2)
- Internet of Things (2)
- Internet of things (2)
- Lernfabrik (2)
- Marktuntersuchung (2)
- Maschinen- und Anlagenbau (2)
- PPS (2)
- Refabrikation (2)
- Regionale Ansätze (2)
- Remanufacturing (2)
- Simulation (2)
- Strategie (2)
- TAM (2)
- Wandlungsfähigkeit (2)
- action problems (2)
- assessment (2)
- augmented reality (2)
- deep learning (2)
- discipline differences (2)
- e-learning (2)
- job shop scheduling (2)
- knowledge transfers (2)
- market research (2)
- method comparision (2)
- multi-actor routines (2)
- multi-objective optimisation (2)
- organizational memory (2)
- process modelling (2)
- product generation engineering (2)
- production planning (2)
- production planning and control (2)
- serious game (2)
- social network analysis (2)
- tacit knowledge (2)
- taxonomy (2)
- technology acceptance (2)
- technology-mediated teaching (2)
- university teaching (2)
- unlearning (2)
- 4th industrial revolution (1)
- AI and business informatics (1)
- AI-based decision support system (1)
- Adaptation (1)
- Adaptivität (1)
- Altsyteme (1)
- Analytics (1)
- Anpassung (1)
- Anpassungsfähigkeit (1)
- Anwendungssystem (1)
- Anwendungssystemarchitekturen (1)
- Anwendungszentrum Industrie 4.0 (1)
- Architecture concepts (1)
- Assistenzsysteme (1)
- Audit (1)
- Auftragsabwicklung (1)
- Auftragsabwicklungssysteme (1)
- Augmented reality (1)
- Auswahlvorgehen (1)
- Automatisierung (1)
- Automobilzulieferer (1)
- Behavior (1)
- Bewertung (1)
- Blockchain (1)
- CO₂-Fußabdruck (1)
- Case Study (1)
- Change (1)
- Community (1)
- Coring (1)
- Cross-System (1)
- Crowdsourcing (1)
- Customer Relationship Management (1)
- Customization (1)
- Cyber-phyiscal system (1)
- Cyber-physical systems (1)
- Decentral Decision Making (1)
- Decentralized production control (1)
- Degree of autonomy (1)
- Digital Learning Factory (1)
- Digital Marketplaces (1)
- Digital Platforms (1)
- Digitalisierung von Produktionsprozessen (1)
- Digitization (1)
- Diskussion (1)
- ERP-/PPS-systems (1)
- ERP-/PPSsystems (1)
- ERP-Auswahl (1)
- ERP-Systeme (1)
- Enterprise Resource Planning (ERP) System (1)
- Enterprise System (1)
- Fabriksoftware (1)
- Factory operating system (1)
- Functions (1)
- Funktionsumfang (1)
- GHG Protocol (1)
- Generalized knowledge constructin axiom (1)
- Geschäftsmodelle (1)
- ISO 14067 (1)
- IT assessment (1)
- IT-Assessment (1)
- Industrial Analytics (1)
- Industrial IoT Competences (1)
- Industrieunternehmen (1)
- Informationssystemarchitektur (1)
- Intentional forgetting (1)
- Invidiuallösungen (1)
- KI (1)
- KI-ERP-Indikator (1)
- KVP (1)
- Kaizen (1)
- Klassifikationsschema (1)
- Kompetenzentwicklung (1)
- Konfigurator <Softwaresystem> (1)
- Konsens-Algorithmen (1)
- Kundenmanagement (1)
- Künstliche Intelligenz (1)
- Learning Factory (1)
- Lehr-Lernsituationen (1)
- Lernszenario (1)
- Literature Review (1)
- MES (1)
- Market Research (1)
- Marktanalyse (1)
- Meta-model (1)
- Mobile IIoT-Technologie (1)
- Mobile Software Ecosystems (1)
- Modellfabrik (1)
- Modification (1)
- Nachhaltigkeit (1)
- Open innovation (1)
- PAS 2050 (1)
- Portal (1)
- Problems (1)
- Process Mining (1)
- Process modeling (1)
- Production (1)
- Production system (1)
- Produktions-Routine (1)
- Produktkonfiguratoren (1)
- Professional Services Unternehmen (1)
- Projektmanagement (1)
- Prozessintegration (1)
- Prozessmanagement (1)
- Prozesswissen (1)
- Qualität (1)
- RFID (1)
- RPA (1)
- Regelkreismechanismus (1)
- Research Agenda (1)
- Retrieval cues (1)
- Roadmap (1)
- Robotic Process Automation (1)
- SECI-model (1)
- SMEs (1)
- Simulation process building (1)
- Spielifizierung (1)
- Student Training (1)
- Subject-oriented learning (1)
- Suchmaschine (1)
- Systematisches Vorgehen (1)
- Systemauswahl (1)
- Tailoring (1)
- Task realization strategies (1)
- Three-tier Architecture (1)
- Turbulenz (1)
- Unternehmen (1)
- Unternehmensberatung (1)
- Use cases Morphologic box (1)
- Variantenmanagement (1)
- Verbesserungen (1)
- Verbesserungsprozess (1)
- Verhalten (1)
- Veränderung (1)
- Vocational Training (1)
- Weiterbildung (1)
- Willentliches Vergessen (1)
- Wirtschaftsinformatik (1)
- Wissensmanagement (1)
- Zentrum Industrie 4.0 (1)
- adaptable software systems (1)
- adaptive performance (1)
- advances in teaching and learning technologies (1)
- age-appropriate competence development (1)
- age-appropriate vocational training (1)
- application center Industrie 4.0 (1)
- application system architectures (1)
- artificial intelligence (1)
- assistance systems (1)
- automation (1)
- behavioral patterns (1)
- benefits (1)
- betriebliche Lernprozesse (1)
- betriebliche Weiterbildung (1)
- betriebliche Weiterbildungspraxis (1)
- big data analytics (1)
- business application (1)
- business model (1)
- business models (1)
- business process improvement (1)
- business process management (1)
- business process modeling (1)
- business process optimization (1)
- case-based reasoning (1)
- change (1)
- classification scheme (1)
- community (1)
- competence development (1)
- components suppliers (1)
- context-aware computing (1)
- control loop mechanism (1)
- conversion (1)
- conversion sequences (1)
- cooperative AI (human-in-the-loop) (1)
- copyright (1)
- coring (1)
- corona-sensitive data collection (1)
- creativity training (1)
- cross self-confrontation (1)
- cross-plant business processes (1)
- cyber-physical production systems (1)
- cyber-physical systems (1)
- data mining (1)
- data-driven artifacts (1)
- database (1)
- databases (1)
- decision-making (1)
- delegated proof of stake (1)
- demographic change (1)
- design science (1)
- design-science research (1)
- development of AI-based systems (1)
- didactic concept (1)
- didactic framework (1)
- digital learning factory (1)
- digital marketplaces (1)
- digital platform openness (1)
- digital platforms (1)
- digital teaching (1)
- digitization of production processes (1)
- discrete event simulation (1)
- discussion (1)
- distributed knowledge base (1)
- domain-specific language (1)
- eference Architecture Model (1)
- effectiveness (1)
- empirical evaluation (1)
- empirical examination (1)
- empirical studies (1)
- enhancement (1)
- enteprise-level (1)
- enterprise resource planning systems (1)
- enterprise system (1)
- enterprise systems (1)
- environmental footprint (1)
- errors in modeling (1)
- experience; (1)
- experiment (1)
- experimental design (1)
- experimentation (1)
- explainability (1)
- factory software (1)
- federated industrial platform ecosystems (1)
- future (1)
- game-based learning (1)
- gamification (1)
- geographical distribution (1)
- gewerkschaftlich unterstützte Weiterbildungspraxis (1)
- higher education (1)
- human-machine-interaction (1)
- humans-in-the-loop (1)
- hybrid simulation (1)
- improvement (1)
- industrial innovation (1)
- industrielle Innovationen (1)
- information system architecture (1)
- information systems research (1)
- intentionales Vergessen (1)
- intermediaries (1)
- internet of things and services (1)
- intervention (1)
- interventions (1)
- job-shop scheduling (1)
- knowledge (1)
- knowledge engineering (1)
- knowledge transfer velocity (1)
- kognitive Assistenzsysteme (1)
- labour union education (1)
- learning (1)
- learning environment (1)
- learning scenario (1)
- learning scenario for manufacturing (1)
- learning scenario implementation (1)
- manipulation (1)
- manufacturing (1)
- manufacturing systems (1)
- market survey (1)
- metadata (1)
- mobile IIoT-technologies (1)
- mobile software ecosystems (1)
- modeling language (1)
- morphologic box (1)
- morphological analysis (1)
- multi-actor routine (1)
- music industry (1)
- new product development (1)
- notation (1)
- person-related factors (1)
- personalised learning (1)
- portal (1)
- problems (1)
- process design (1)
- process improvement (1)
- process integration (1)
- process knowledge (1)
- process of modeling (1)
- process perspective (1)
- process simulation (1)
- process-oriented knowledge acquisition (1)
- product carbon footprint (1)
- product configurators (1)
- product development (1)
- production engineering computing (1)
- production networks (1)
- production routine (1)
- programming skills (1)
- proof of stake (1)
- proof of work (1)
- quality (1)
- quantitative (1)
- recording of workplaces (1)
- regional network (1)
- remanufacturing (1)
- requirements (1)
- research challenges (1)
- retentivity (1)
- retrieval cues (1)
- retrofit (1)
- risks (1)
- routines (1)
- rype of change content (1)
- scenario modeling (1)
- search engine (1)
- simulation (1)
- smart automation (1)
- smart grid (1)
- smart production (1)
- software engineering (1)
- standardization (1)
- subject differences (1)
- subject-oriented learning (1)
- sustainability (1)
- task realization strategies (1)
- teaching and learning model (1)
- technologies (1)
- terminology (1)
- time consumption (1)
- training (1)
- triple bottom line (1)
- turbulence (1)
- variant management (1)
- various applications (1)
- virtual learning (1)
- werksübergreifende Geschäftsprozesse (1)
- ökologischer Fußabdruck (1)
Institute
- Wirtschaftswissenschaften (139)
- Fachgruppe Betriebswirtschaftslehre (89)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (4)
- Hasso-Plattner-Institut für Digital Engineering GmbH (3)
- Fachgruppe Politik- & Verwaltungswissenschaft (2)
- Sozialwissenschaften (2)
- Bürgerliches Recht (1)
- Department Psychologie (1)
- Extern (1)
- Forschungsbereich „Politik, Verwaltung und Management“ (1)
This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.
The concept of adaptability has been widely recognised as research field in recent years. Business information systems play a key part in terms of business performance. Adaptability of information systems therefore is a primary goal of vendors and end-users. However, so far concepts that help to determine the adaptability of Information Systems are missing. Based on research results of the project CHANGE1 this contribution presents an integrated process model addressing the problem and a possible solution.
Since more and more production tasks are enabled by Industry 4.0 techniques, the number of knowledge-intensive production tasks increases as trivial tasks can be automated and only non-trivial tasks demand human-machine interactions. With this, challenges regarding the competence of production workers, the complexity of tasks and stickiness of required knowledge occur [1]. Furthermore, workers experience time pressure which can lead to a decrease in output quality. Cyber-Physical Systems (CPS) have the potential to assist workers in knowledge-intensive work grounded on quantitative insights about knowledge transfer activities [2]. By providing contextual and situational awareness as well as complex classification and selection algorithms, CPS are able to ease knowledge transfer in a way that production time and quality is improved significantly. CPS have only been used for direct production and process optimization, knowledge transfers have only been regarded in assistance systems with little contextual awareness. Embedding production and knowledge transfer optimization thus show potential for further improvements. This contribution outlines the requirements and a framework to design these systems. It accounts for the relevant factors.
Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level.
Process mining (PM) has established itself in recent years as a main method for visualizing and analyzing processes. However, the identification of knowledge has not been addressed adequately because PM aims solely at data-driven discovering, monitoring, and improving real-world processes from event logs available in various information systems. The following paper, therefore, outlines a novel systematic analysis view on tools for data-driven and machine learning (ML)-based identification of knowledge-intensive target processes. To support the effectiveness of the identification process, the main contributions of this study are (1) to design a procedure for a systematic review and analysis for the selection of relevant dimensions, (2) to identify different categories of dimensions as evaluation metrics to select source systems, algorithms, and tools for PM and ML as well as include them in a multi-dimensional grid box model, (3) to select and assess the most relevant dimensions of the model, (4) to identify and assess source systems, algorithms, and tools in order to find evidence for the selected dimensions, and (5) to assess the relevance and applicability of the conceptualization and design procedure for tool selection in data-driven and ML-based process mining research.
Für die Wettbewerbsfähigkeit von Unternehmen hat der Kontinuierliche Verbesserungsprozess (KVP) eine hohe Bedeutung. Hinsichtlich der Qualität und Quantität der Beiträge für den KVP durch die Mitarbeitenden stoßen Unternehmen, insbesondere KMU, jedoch auf vielfältige Herausforderungen. Diesen Problemen können Unternehmen durch das KVP-Tool begegnen, welches im Projekt „Adaptive Spielifizierung im KVP“ entwickelt wird. Durch die Digitalisierung und Spielifizierung des Prozes- ses im KVP-Tool wird die kontinuierliche Beteiligung nachhaltig durch intrinsische Anreize gefördert. Die Neuartigkeit des Projektes ergibt sich aus der Adaptivität der Spielifizierung, also die Wechselwirkung zu den Nutzenden. Dabei werden zwei Aspekte fokussiert: unterschiedliche Spielertypen und Marktdynamik.
A growing number of business processes can be characterized as knowledge-intensive. The ability to speed up the transfer of knowledge between any kind of knowledge carriers in business processes with AR techniques can lead to a huge competitive advantage, for instance in manufacturing. This includes the transfer of person-bound knowledge as well as externalized knowledge of physical and virtual objects. The contribution builds on a time-dependent knowledge transfer model and conceptualizes an adaptable, AR-based application. Having the intention to accelerate the speed of knowledge transfers between a manufacturer and an information system, empirical results of an experimentation show the validity of this approach. For the first time, it will be possible to discover how to improve the transfer among knowledge carriers of an organization with knowledge-driven information systems (KDIS). Within an experiment setting, the paper shows how to improve the quantitative effects regarding the quality and amount of time needed for an example manufacturing process realization by an adaptable KDIS.
Accelerating knowledge
(2019)
As knowledge-intensive processes are often carried out in teams and demand for knowledge transfers among various knowledge carriers, any optimization in regard to the acceleration of knowledge transfers obtains a great economic potential. Exemplified with product development projects, knowledge transfers focus on knowledge acquired in former situations and product generations. An adjustment in the manifestation of knowledge transfers in its concrete situation, here called intervention, therefore can directly be connected to the adequate speed optimization of knowledge-intensive process steps. This contribution presents the specification of seven concrete interventions following an intervention template. Further, it describes the design and results of a workshop with experts as a descriptive study. The workshop was used to assess the practical relevance of interventions designed as well as the identification of practical success factors and barriers of their implementation.