https://hdl.handle.net/10419/262228 2026-11-07T07:44:02Z https://hdl.handle.net/10419/262255 Title: Applying Principles of Management Innovation in Advertising Agencies Authors: Rubik, Andrea Abstract: With the advertising industry and practice changing significantly in the last decade, it is likely that the existing management practices in advertising agencies also need some transformation. Through exploring management innovation principles and practices, novel practices might be applied by advertising agencies to exploit changes in their environment and enhance organizational performance. This paper explores the application and framework for novel management practices in an advertising agency. A proposed model is based on the principles of management innovation and the activities needed to drive management innovation. The topic is relevant for advertising agencies to understand better management innovation possibilities and enhancement it could create for them to compete in new markets and stay ahead of new competition. 2021-01-01T00:00:00Z https://hdl.handle.net/10419/262237 Title: Impact of Covid-19 on e-Commerce in the European Union Authors: Yaw Acheampong, Timothy Abstract: The advent of the 4th Industrial Revolution has made it inevitable for firms worldwide to modify their business models to integrate ICTs into their operations. The lockdown measures to contain the COVID-19 pandemic appear to have accelerated this process as many businesses, particularly in the hospitality industry, had to shut down their operations. Others also had to resort to conducting their businesses solely online. Thus, it has been argued that e-commerce has thrived during the lockdown period. Concentrating on the current 27 European Union (EU) member countries, this paper seeks to answer the following question: To what extent the COVID-19 impacted e-commerce has? Trend analyses and a paired samples t-test are used to compare the mean percentage of enterprises with e-commerce sales before the pandemic and the first year. The study finds a significant increase in the percentage of enterprises that made e-commerce sales during the first year of the pandemic compared to the previous year (t=-2.06; df=25). Except for the western EU member countries, all other regions increased the percentage of enterprises that made e-commerce sales, with the southern EU countries witnessing the highest increase. 2021-01-01T00:00:00Z https://hdl.handle.net/10419/262263 Title: Improving Sustainability of Technical Ceramics Production: Synergistic Approach Authors: Žmak, Irena; Ćurković, Lidija Abstract: Sustainable development is a concept focused on preserving current resources for them to be available to future generations as well, while at the same time fulfilling current human needs and facilitating adequate levels of development. Nowadays, there are many possible applications of sustainability principles, such as in the fields of the economy, agriculture, environment, energy, transport, architecture, and production. Sustainable production of materials and goods aims at improving the processes which are less damaging to the environment, which conserve natural resources and use low levels of energy, possibly derived from sustainable sources. One of the intensive energy- and resource-consuming industries is the conventional production of technical ceramics. Although non-toxic, ceramic waste is generated during the machining of the green bodies and is typically landfilled. To improve the sustainability of technical ceramics production, methods of recycling ceramic waste need to be developed and applied. 2021-01-01T00:00:00Z https://hdl.handle.net/10419/262229 Title: Novel Approach to Choosing Principal Components Number in Logistic Regression Authors: Vrigazova, Borislava Abstract: The confirmed approach to choosing the number of principal components for prediction models includes exploring the contribution of each principal component to the total variance of the target variable. A combination of possible important principal components can be chosen to explain a big part of the variance in the target. Sometimes several combinations of principal components should be explored to achieve the highest accuracy in classification. This research proposes a novel automatic way of deciding how many principal components should be retained to improve classification accuracy. We do that by combining principal components with the ANOVA selection. To improve the accuracy resulting from our automatic approach, we use the bootstrap procedure for model selection. We call this procedure the Bootstrapped-ANOVA PCA selection. Our results suggest that this procedure can automate the principal components selection and improve the accuracy of classification models, in our example, the logistic regression. 2021-01-01T00:00:00Z