Browsing by Author "Hrušecká, Denisa"
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- ItemEvaluation of knowledge synergy components(Technická Univerzita v Liberci, 2018-03-29) Skačkauskienė, Ilona; Hrušecká, Denisa; Katinienė, Aušra; Čepel, Martin; Ekonomická fakultaThere is no doubt that knowledge is a key asset of any organisation, enabling it to get a competitive advantage, implement innovation, deal with difficulties and improve its management processes. Requirements on employees´ knowledge have been rising in recent years, especially with regard to the new trends and currently the widely discussed fourth industrial revolution. In the emerging network economy and knowledge society, organisations must be ready for complex knowledge dissemination and management processes. Knowledge is collected, stored, assessed, and created by an organisation and shared by its members. In the course of knowledge dissemination, members of the organisation create synergy which generates unique knowledge. Managing organisational knowledge necessary for the creation of added value and the acquisition of a competitive advantage requires evaluating the knowledge synergy and its components. The paper aims at identifying knowledge synergy components and providing an evaluation method of employees’ knowledge synergy and its components to have a rational and objective evaluation of employees’ knowledge, relations among employees, and organisational knowledge synergy. To achieve this aim, knowledge synergy components are identified, evaluation issues are revealed, types of knowledge synergy relations are presented together with an evaluation formula for each of these relations, components of employees’ knowledge and factors reflecting knowledge content are specified, an evaluation formula for each component is provided, and an organisational knowledge synergy evaluation method is described. Due to its versatility, presented results are applicable in any industry or business area for measuring and improving intellectual capital as well as for benchmarking purposes. The research applies methods of analysis, synthesis, graph theory and combinatorics as well as a systematic approach.
- ItemInfluence of Logistics Competitiveness and Logistics Cost on Economic Development: An FsQCA Qualitative Approach(Technická Univerzita v Liberci, ) Saini, Mohan; Hrušecká, Denisa; Ekonomická fakultaLogistics is an important sector that determines a country’s economic strategy while attaining higher impetus in terms of globalization and competitiveness. Infrastructure along with trade friendly government policies are the key important parameters for a competitive logistics sector. One such method to evaluate competency is the logistics performance index (LPI) by the World Bank. This index evaluates the logistics performance of the economies of the world and rank them on the basis of six parameters (customs, infrastructure, timeliness, tracking & tracing, logistics competence and international shipments). This research study illustrates the impact of logistics costs (LC) and logistics competency parameters (LPI) on the economic development. The fuzzy set qualitative comparative analysis (fsQCA) methodology is applied to identify the causal configuration relations for higher values of economic development (GDP per capita). Eight major economies across Asia (China, India, Japan, Singapore), Europe (Germany, France), the UK and the USA have been studied for the analysis. The Czech Republic and Slovenia are also included to the list of countries to have a perspective of mid-sized economies. These mid-size economies are landlocked countries (Czech Republic) and a smaller port sector (Slovenia) for logistics. The results indicate two configurations of LPI and LC that lead to higher values of GDP per capita. The major contribution to the existing literature is in identifying the influence of LPI index parameters along with LC on the economic development. The associated results illustrate that logistics competence, infrastructure and tracking & tracing of LPI index are identified as the core parameters, resulting in the higher values of GDP per capita. The results offer various insights into future area of research for evaluating new parameters such a LC to be inducted in LPI for evaluating logistics performance.