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Understanding Process Performance Measurement Systems

., & Frolick, M. N. (2008). Critical success factors in business performance management—Striving for success. Information Systems Management, 25(2), 113-120. Attaran, M. (2004). Exploring the relationship between information technology and business process reengineering. Information & Management, 41(5), 585-596. Atkinson, A. A. (1998), Strategic Performance Measurement and Incentive Compensation, European Management Journal , Vol. 16, No. 5, Oct, pp. 552-561. Atkinson, A., Waterhouse, J., Wells, R

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Performance Measurement in Public Sector of Transition Countries

- Making Enron look good”, World Economics, Vol. 13, No.1, pp. 1-18. 5. Barzelay, M. (2001). „The New Public Management, Improving Research and Policy Dialogue”, Berkeley: University of California Press 6. Bolton, M. (2003), „Public sector performance measurement: delivering greater accountability”, Work Study, Vol. 52, No. 1, pp. 20-24. 7. Boyne, G. (2003), „Sources of public service improvement: A critical review and research agenda”, Journal of Public Administration Research and Theory, Vol. 13, No. 3, pp. 367-394. 8. Broadbent, J., Laughlin, R. (2009

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On a Generalized Raised Cosine Distribution: Some Properties, Characterizations and Applications

Mathematical Society, Rhode Island, USA. (2001). 16. Rinne, H., LocationVScale Distribution: Linear Estimation and Probability Plotting Using MATLAB, Copyright: Prof. em. Dr Hors Rinne, Department of Economics and Management Science, JustusVLiebligVUniversity, Giessen, Germany.(2010). 17. Sullivan, M., Algebra and Trigonometry, Pearson Education, Inc., Tenth Edition, New York, USA.(2016). 18. Willink, R., Measurement Uncertainty and Probability, Cambridge University Press, First Edition, New York, USA.(2013).

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Measurement of Export Market Concentration for the Largest European Economic Integrations


Background: By joining different regional economic trade agreements, countries achieve preferential trade liberalisation. There are four main types of regional economic agreements in the world today: free trade area, customs union, common market, and economic and monetary union.

Objectives: The goal of this paper is the measurement of the export market concentration for the largest European regional economic integrations in the period between 1995 and 2016.

Methods/Approach: Various concentration measures have been used in the measurement of export market concentration, but the emphasis is placed on the standardized Herfindahl-Hirschman index as the basic measure of trade concentration.

Results: Results of the analysis have shown that the highest concentration level of trade with countries worldwide is among the European Free Trade Association (EFTA) countries, whereas the EU-15 countries seem to have the lowest concentration level. On the other side, the Central European Free Trade Agreement (CEFTA) countries have the highest concentration level of trade with countries from the same group, and again the EU-15 countries have the lowest concentration level, which indicates that the CEFTA countries implemented deeper integration processes related to mutual intra-regional trade.

Conclusions: Deep integration processes led to lower values of export market concentration indices for intra-regional trade among countries of the same regional economic integration in comparison to trading with countries worldwide.

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Employers’ Perceptions of Business and Economics Graduates’ Competencies in Croatia

. M., Magal, S. R. (2004) „Applying Importance-Performance Analysis to Evaluate E-Business Strategies among Small Firms”, e-Service Journal, Vol. 3, No. 3, pp. 29–48. 21. Lowden, K., Hall., S., Elliot, D., Lewin, J. (2011), “Employers’ perceptions of the employability skills of new graduates”, The SCRE Centre Research in Education, Edge Foundation, University of Glasgow. 22. Malega, J., Horváth, R. (2017), “Financial Stress in the Czech Republic: Measurement and Effects on the Real Economy”, Prague Economic Papers, Vol. 26, No. 3, pp. 257–268. 23

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The Size of the Substitution Bias of Inflation Measurement in Relation to the Level of Innovativeness of The European Union’s Economies

, Statistika – Statistics and Economy Journal, vol. 96 (2), pp. 51-59, Czech Statistical Office, Praga. Białek J., 2017a, Approximation of the Fisher price index by using the Lloyd–Moulton index : Simulation study , Communications in Statistics – Simulation and Computation, 46(5), pp. 3588-3598. Białek J., 2017b, Approximation of the Fisher price index by using Lowe, Young and AG Mean indices , Communications in Statistics – Simulation and Computation, 46(8), pp. 6454-6467. Camba-Mendez G., Gaspar V., Wynne M., 2002, Measurement issues in european

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Accounting Information Systems Implementation and Management Accounting Change

-Smith, K. (2003), “Antecedents to management accountin change: a structural equation approach”, Accounting, Organizations and Society, Vol. 28, No. 7-8, pp. 675-698. 6. Bredmar, K. (2011), “Performance measurement - does ERP systems measure up?”, Problems and Perspectives in Management, Vol. 9, No. 3, pp. 33-41. 7. Bredmar, K. (2012), “The act of interpretation - Accounting reports and management control action”, Business Management Dynamics, Vol. 2, No. 4, pp. 30-38. 8. Burns, J., Scapens, R. W. (2000). “Conceptualicing management accounting change: an

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Item Response Theory Models in the Measurement Theory with the Use of ltm Package in R

References Andrich D., 1978, Application of a psychometric rating model to ordered categories which are scored with successive integers, Applied Psychological Measurement, 2, pp. 581-594. Bates D.M., 2008, Fitting mixed-effects models using the lme4 package in R, Barton M.A., Lord F.M., 1981, An upper asymptote for the three-parameter logistic item-response model, Princeton, NJ: Educational Testing Service. Birnbaum A., 1957, Efficient design

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New multidimensional approaches to poverty measurement in Bosnia and Herzegovina

References 1. Alkire, S., Foster, J. (2007). Counting and Multidimensional Poverty Measurement . Oxford Poverty and Human Development Initiative. Working Paper No. 7. Available at [03 November 2016]. 2. Alkire, S., Foster, J. (2011). Counting and Multidimensional Poverty Measurement. Journal of Public Economics , Vol. 95, No. 7-8, pp. 476-487. 3. Alkire, S., Santos, M. E. (2011). Acute Multidimensional Poverty: A New Index for Developing Countries . Oxford Poverty and Human Development

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Technological competitiveness of the EU member states in the era of the fourth industrial revolution


The aim of this paper is to investigate the implications of the fourth industrial revolution for technological competitiveness, its definition and measurement methods. An empirical part is aimed at identifying comparative advantages of the European Union in digital technologies. Recently new approaches have appeared to measure digital competitiveness, however they use a broad definition of competitiveness that encompasses not only technological factors but also the macroeconomic and institutional environment (IMD, 2017; WEF, 2018). There is still a limited number of studies focused on the technological dimension of competitiveness in digital technologies. This paper fills the gap by developing a conceptual framework based on patent indicators, i.e. Patent Share and Revealed Technological Advantage indices. It allows a consistent analysis of the comparative advantages of the EU member states in digital technologies to be conducted. The results confirm a huge diversity within the EU in terms of digital technologies, their global impact and comparative advantages.

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