DSpace Kolekcja:http://hdl.handle.net/11320/96072024-03-28T23:59:19Z2024-03-28T23:59:19ZImpact of net working capital management strategy on financial results on the example of WIG-food companiesKubala, SebastianFirlej, Chrystian Bernardhttp://hdl.handle.net/11320/96432020-10-05T10:16:58Z2020-01-01T00:00:00ZTytuł: Impact of net working capital management strategy on financial results on the example of WIG-food companies
Autorzy: Kubala, Sebastian; Firlej, Chrystian Bernard
Abstrakt: Purpose – The main purpose of the work is to analyse the relationship between the net working capital management strategy and selected financial results of enterprises belonging to the WIG-food index. Research method – As part of the assessment, the financial data of 12 companies belonging to the WIG-food index for the period 2008-2018 were analysed. The dependent variables were the following measures: net profit/loss (NPL), current liquidity ratio (CLR), inventory turnover ratio (ITR), general debt ratio (GDR), return on sales (ROS). To achieve the objective of the research a one-way ANOVA variance was used. Results – The research results indicate that the net working capital management strategy adopted by the companies belonging to the WIG-Food index significantly affects the achieved financial results. Originality/value – The conducted research showed that the most common differences in shaping individual financial results occur between the use of aggressive (A) and conservative (C) strategy, aggressive (A) and moderately conservative (MC) strategy, conservative (C) and moderately aggressive (MA) strategy, as well as moderately aggressive (MA) and moderately conservative (MC) strategy.2020-01-01T00:00:00ZDynamics and determinants of trade exchange between the European Union and IndiaBywalec, Grzegorzhttp://hdl.handle.net/11320/96422020-10-05T09:53:28Z2020-01-01T00:00:00ZTytuł: Dynamics and determinants of trade exchange between the European Union and India
Autorzy: Bywalec, Grzegorz
Abstrakt: Purpose – This article attempts to identify and assess trade exchange between the European Union and India, including an indication of the main determinants of the process. Research method – Descriptive analysis based on numerical data from various statistical sources together with a review of specialist literature. Results – Trade exchange between the EU and India is particularly important for India. Exports to the EU account for around 17-20% of Indian exports in total. On the other hand, the EU’s share in Indian imports amounts to 10-12% of all imported goods. Trade with India looks different from the EU side. India’s share in both exports and imports presents a margin for EU trade in goods of 2-3%. The share of services in the trade between the EU and India is high. It accounts for 25-30% of mutual turnover. These are usually modern services based on the offshoring principles, such as IT, business, transport, consulting, science, and tourism. Among the European Union Member States, India’s main trading partners in goods are Germany, the United Kingdom, Belgium, France, the Netherlands, and Italy. These six countries account for ca. 85% of the EU-India trade exchange. In 2007, negotiations started to create an EU-India Free Trade Area. Due to the large differences in the positions of both parties, these discussions were not finalised and were subsequently suspended in 2013. However, after the reactivation of talks in 2016, there is still a possibility for the creation of an EU-India Free Trade Area of 1.8 billion people. Originality /value / implications /recommendations – At the beginning of the 21 st century, in terms of GDP (according to PPP), the European Union (understood as one economic entity) became the second largest economic power globally (after China), while India advanced to fourth position (after China, the EU and the USA). An analysis of trade exchange between these two economic powers allows for a clearer understanding of the modern global economy, as well as the processes and mechanisms of its functioning.2020-01-01T00:00:00ZIntellectual capital of European Union countries (EU-28) – measurement conceptPaszko, Julitahttp://hdl.handle.net/11320/96412020-10-05T09:35:46Z2020-01-01T00:00:00ZTytuł: Intellectual capital of European Union countries (EU-28) – measurement concept
Autorzy: Paszko, Julita
Abstrakt: Purpose – The aim of the present research paper is to enrich the achievements of science through a description of a theoretical-methodological approach to measuring the national intellectual capital (NIC) along with its application in the evaluation of the European Union countries (2015). Research method – The synthetic indicator, describing the intellectual capital of the EU countries was quantified by using the TOPSIS method. The year 2015 is the study period. Results – The estimation results confirm the diversity of the intellectual capital level in the 28 countries of the EU. The highest index value applies to Sweden. Romania takes the last – 28th place and belongs to the fourth typological group with a very low potential of intellectual capital. Originality /value / implications /recommendations – The new perspective on defining and taxonomy of intellectual capital (including ecological capital) is a kind of novum in this area. As a result, the elaborated ranking of the EU countries provides a new, wider perspective on the intellectual capital issues.2020-01-01T00:00:00ZCluster and cluster policy as tools for regional development managementCitkowski, Mariuszhttp://hdl.handle.net/11320/96402020-10-05T08:59:39Z2020-01-01T00:00:00ZTytuł: Cluster and cluster policy as tools for regional development management
Autorzy: Citkowski, Mariusz
Abstrakt: Purpose – The purpose of the paper is to indicate the role of a cluster and a cluster-based policy in the process of regional development management as the tools serving the achievement of positive development effects in the region. Research method – The analysis was based on the review of domestic and foreign literature sources devoted to clusters, as well as the documents and the assumptions of the cluster policy at the EC level and the national and regional level, the participant observation as a member of research and implementation and advisory project teams in the field of cluster management and cluster policy in Poland and in the region. Results – A cluster can be used at any stage of the strategic management of regional development as an element of strategic analysis, as one of the key consultants in the process of regional development strategy projection, and ultimately as a tool for implementing the assumptions of regional development strategy. Originality / value – The proposed dual model of cluster policy in the Podlaskie Voivodeship using detailed assumptions, including developed clusters as a tool for managing regional development as a part of the cluster-based policy.2020-01-01T00:00:00Z