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2 Business Systems Research Journal

2 2016

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Intracluster Homogeneity Selection Problem in a Business Survey

100%

Žmuk B.

Business Systems Research Journal

2016

tom 7

nr 2

91-103

Background: In the cluster sampling approach many parameters have influence on lowering the survey costs and one of the most important is the intracluster homogeneity. Objectives: The goal of the paper is to find the most optimal value of intracluster homogeneity in case when two or more questions or variables have a key role in the research. Methods/Approach: Five key variables have been selected from a business survey conducted in Croatia and results for the two-stage cluster sampling design approach were simulated. The calculated intracluster homogeneity values were compared among all the five observed questions and survey costs and precision levels were inspected. Results: In the new cluster sampling design, for the fixed precision level, the lowest survey costs would be achieved by using the intracluster homogeneity value which is the closest to the average intracluster homogeneity value among all the key questions. Similar results were obtained when survey costs were held fixed. Conclusions: If there is more than one key question in the survey, then the best solution would be to use an average intracluster homogeneity value. However, one should notice that in that case minimum survey costs would not be reached, but the precision levels would increase at all key questions.

The Influential Knowledge Factors of Companies’ Performance in Slovenia

100%

Rašič K. , Mulej M. , Čančer V.

Business Systems Research Journal

2016

tom 7

nr 1

46-58

Background: Knowledge plays a crucial role in supporting the European Union model based on economic growth, social responsibility, and sustainable development. To improve companies’ performance, one must reflect on new forms of knowledge and develop new indicators to measure them. Objectives: The goal of the paper is to investigate the impact of the selected factors of knowledge on companies’ performance in Slovenia. Methods/Approach: A questionnaire was created and sent to small and medium-sized enterprises in Slovenia. The principle axis factoring method was used to identify the factors of knowledge and of companies’ performance, and a regression analysis was conducted to determine the influence of the selected knowledge factors on companies’ performance. Results: The establishment of scientists’ collaboration with companies has a positive impact on companies’ performance, but the obstacles to the establishment of scientists’ collaboration with companies do not have any impact. Conclusions: The results could be useful for governments and companies in the adoption of measures aimed at strengthening scientists’ collaboration with companies. Further research can be oriented toward the common synergy index (e.g., the knowledge triangle).