Iskanje po katalogu digitalne knjižnice

Opis: Purpose: The purpose of this paper is to explore how innovation capability can be enhanced by inclusive leadership. In particular, the focus is on identifying the key drivers of work engagement and the role of leadership in boosting the innovation capability. Methodology/Approach: This research has a qualitative exploratory nature. The exploratory fieldwork is based on an in-depth interview with the CEO, field observations and on the analysis of relevant corporate sources. Findings: The research provides further confirmation of the link between inclusive leadership, work engagement and innovation capability. Specifically, authentic communication and leadership traits such as trust, courage, humility, empathy and gratitude are considered to be among the most important enablers of an inclusive environment that leads to business success. Research Limitation/Implication: This study contributes to a better understanding of how companies could enhance innovation capabilities by leveraging the power of inclusion. The subjective business evidence coming from only one company constitute the main limitations of the present study. Originality/Value of paper: This paper contributed to leadership and innovation literature. The results of this work provide a thorough understanding of the mechanisms for improving work engagement and, consequently, innovation capability. By grounding our research in both theory and empirical evidence, we provide valuable insight for both academia and practice.
Ključne besede: innovation capability, inclusive leadership, work engagement, case study
Objavljeno v DKUM: 11.12.2024; Ogledov: 0; Prenosov: 7
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Opis: Presented paper investigates the application of digital twins for the optimisation of intelligent manufacturing systems and focuses on the comparison between simulation modelling results and real-world production conditions. A digital twin was created in the Simio software environment using a data-driven simulation model derived from a real-world production system. Running the digital twin in real time, which was displayed graphically, facilitated the analysis of key parameters, including the number of finished products, average flow time, workstation utilization and product quality. The discrepancies were attributed to the use of random distributions of input data in the dynamic digital twin, as opposed to the long-term measurements and averages in the real-world system. Despite the limitations in the case study, the results underline the financial justification and predictive capabilities of digital twins for optimising production systems. Real-time operation enables continuous evaluation and tracking of parameters and offers high benefits for intelligent production systems. The study emphasises the importance of accurate selection of input data and warns that even small deviations can lead to inaccurate results. Finally, the paper high-lights the role of digital twins in optimising production systems and argues for careful consideration of input data. It highlights the importance of analysing real-world production systems and creating efficient simulation models as a basis for digital twin solutions. The results encourage extending the research to different types of production, from job shop to mass production, in order to obtain a comprehensive optimisation perspective.
Ključne besede: smart manufacturing, digital twin, optimisation, simulation modelling, Simio, case study
Objavljeno v DKUM: 25.03.2024; Ogledov: 277; Prenosov: 22
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Opis: Background: In today’s business environment, a company is able to maintain its competitive position if it constantly generates knowledge and disseminates this knowledge within the organization, as well as transforms it into new competences. The ability to transfer knowledge becomes one of the key factors in the improvement of a company’s competitive position. This hypothesis is applicable particularly in the case of cooperation within networks, as they are an excellent opportunity for mutual learning between partners. Objectives: The purpose of the paper is to analyse the process of knowledge transfer in intra-organizational networks. Method: Due to the specificity of the research object, the case study method has been chosen. In order to make an in-depth analysis of the case study, we selected a group of several criteria based on the theory which we believe to be fundamental to the effectiveness of knowledge management in networks, and compared them with the situation in the ArcelorMittal Group. Results: Our research show that ArcelorMittal Group has met almost all the criteria of effective knowledge management in its intra-organizational network. Some exceptions, albeit merely to an extent, are mostly the result of historical circumstances, , i.e. the process of growth through acquisitions, and the acquisition of companies at different stages of organizational development, as well as organizational culture. Conclusion: Based on theoretical assumptions, the study analysed in details the components of knowledge management applied by the corporation in question. Therefore this study might be utilised to formulate a refutable hypothesis and verify them on a larger group of companies from different sectors of the economy. The main limitations of the paper are mostly related to the inherent approach therein
Ključne besede: knowledge, knowledge transfer, knowledge management, networks, case study analysis
Objavljeno v DKUM: 22.01.2018; Ogledov: 1698; Prenosov: 203
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Opis: Background and Purpose: The aim of this paper is to present the influence of Industry 4.0 on the development of the new simulation modelling paradigm, embodied by the Digital Twin concept, and examine the adoption of the new paradigm via a multiple case study involving real-life R&D cases involving academia and industry. Design: We introduce the Industry 4.0 paradigm, presents its background, current state of development and its influence on the development of the simulation modelling paradigm. Further, we present the multiple case study methodology and examine several research and development projects involving automated industrial process modelling, presented in recent scientific publications and conclude with lessons learned. Results: We present the research problems and main results from five individual cases of adoption of the new simulation modelling paradigm. Main lesson learned is that while the new simulation modelling paradigm is being adopted by big companies and SMEs, there are significant differences depending on company size in problems that they face, and the methodologies and technologies they use to overcome the issues. Conclusion: While the examined cases indicate the acceptance of the new simulation modelling paradigm in the industrial and scientific communities, its adoption in academic environment requires close cooperation with industry partners and diversification of knowledge of researchers in order to build integrated, multi-level models of cyber-physical systems. As shown by the presented cases, lack of tools is not a problem, as the current generation of general purpose simulation modelling tools offers adequate integration options.
Ključne besede: simulation, modelling, automated modelling, Industry 4.0, Digital Twin, SME, multiple-case study
Objavljeno v DKUM: 30.11.2017; Ogledov: 1571; Prenosov: 535
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Opis: Our schools are becoming more and more multicultural every year. It is no longer uncommon to have in the same classroom students from over a dozen nationalities, with diverse backgrounds, beliefs and ways of seeing the world. This article is an invitation to reflect on the role that non-formal artistic and creative activities can play in multicultural educational settings. To this end, an excerpt from a Case Study carried out in one of Canada%s most multicultural schools is presented, showcasing some of the activities developed there and analysing the positive influences they have in its educational community.
Ključne besede: non-formal art, music education, Case Study research, creativity, multicultural education, Educational context
Objavljeno v DKUM: 16.11.2017; Ogledov: 1338; Prenosov: 357
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