Search results

In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.

From the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).

Four configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.

This study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.

National intellectual capital is generally considered a strategic advantage for national competitiveness. However, the measurement of intellectual capital across countries for comparison purposes appears to receive little attention. This study aims to use a new index of national intellectual capital (INIC) to examine the relationship between national intellectual capital and national competitiveness.

This paper uses the INIC, developed by Vo and Tran (2021), to measure, compare and contrast differences in the level of national intellectual capital across 104 countries. INIC comprises the most crucial intellectual capital components: human capital, structural capital and relational capital. Various economic and social indicators are used as the proxies for these components of intellectual capital. Principal component analysis is used to derive INIC.

The results indicate that during the study period the level of national intellectual capital gradually increased. Europe has attained the highest level of national intellectual capital, whereas Africa has achieved the lowest level. This study’s findings confirm a close relationship between the national intellectual capital level and the national income level. Among the ten biggest countries, the USA achieved the highest national intellectual capital level, and China has significantly improved its cumulative level. Finland achieved the highest level of national intellectual capital in the world. National intellectual capital enhances a country’s competitiveness.

Findings in this study shed light on an international comparison of intellectual capital across countries and understanding how national intellectual capital contributes to and improves national competitiveness. Policymakers can consider and use these findings to support the accumulation of national intellectual capital and boost national competitive advantage, especially low-income countries and emerging markets.

To the best of the authors’ knowledge, this is the first study to estimate a degree of national intellectual capital around the world and examine its impact on national competitiveness based on publicly available data.

The purpose of this paper is to examine the national-level predictors of country competitiveness using the concept of managerial discretion. The objective is to empirically link the strategic management discipline particularly the upper echelon theory to the concept of country performance measured by competitiveness.

This paper tests the proposed relationship between managerial discretion and country competitiveness using a sample of 18 countries from 6 different regional clusters. Discretion scores are generated from survey responses of prominent senior management consultants, while country competitiveness is measured via the Global Competitiveness Index developed by the World Economic Forum. A multi-level regression analysis on the panel data set spanning 10 years of national competitiveness levels is used to empirically demonstrate the association between managerial discretion and country competitiveness.

The authors show that managerial discretion is a direct predictor of national competitiveness through its ability to provide CEOs with a wider array of actions to innovate and enhance firm performance which will ultimately contribute to country competitiveness.

The positive influence of managerial discretion on country competitiveness provide an interesting framework to examine the influence of firms over public policy-making. Additionally, with businesses becoming increasingly globalized, the profile of countries becomes of a great importance and can become a tool for corporate strategic decisions, such as: market entry strategies.

By linking the well-known term of competitiveness to the concept of managerial discretion, the authors provide a totally new approach to assess country performance. Additionally, this paper contributes to the growing literature of managerial discretion by discovering new national-level consequences.

This paper aims to empirically investigate the effects of cultural and religious factors on national competitiveness.

First, the concepts of national competitiveness, cultural values and religiosity are defined. Then, the relationships between these concepts are discussed and the hypotheses, variables, and theoretical models are presented. Finally, the empirical tests are conducted, the results are examined, and the theoretical/practical implications are discussed.

The empirical results show that controlling for the effects of socioeconomic development, culture and religiosity still have important implications for national competitiveness. More specifically, it is found that Autonomy, Hierarchy and Mastery cultural dimensions are likely to foster national competitiveness, but Conservatism, Egalitarianism and Harmony dimensions tend to impede national competitiveness. Additionally, it is found that regardless of the religious denomination, religiosity by itself remains a very serious hindrance to national competitiveness.

This study has a limited scope as it relies on a narrow conceptualization of culture and religiosity. Moreover, this study relies solely on the national level data and fails to detect the effects of intra‐national variations.

The findings of this study bring valuable insights into the cultural and religious determinants of national competitiveness. Considering the reliability of data and the variety of countries included, the results might have important theoretical and managerial implications.

The chief contribution of this study resides in encompassing theories from various disciplines such as sociology, political science, anthropology, and business management to investigate the cultural and religious determinants of national competitiveness.

This chapter explores the transformation and interrelation of the concepts of ‘competition’ and ‘competitiveness’. This analysis enables us to substantiate the elements of national economic competitiveness and, subsequently, build strategies to increase the competitiveness of economic agents in world markets.

The authors use systemic, historical, adaptive and synergetic methods. Moreover, the authors apply structural and functional analysis, empirical generalisation and grouping. The research object is the transformation of the concept of competition.

Under the conditions of digitisation, geopolitical aggravation, geo-economic factors, and more general scientific and technological progress, competition becomes a dynamic process and transforms into an endogenous component of the market environment, which stimulates change in economic entities.

Competitiveness is a diverse economic concept that encompasses mechanisms of interactions and interrelations of economic entities, multi-level economic coordination apparatus and competitive advantages that help achieve economic goals. Nevertheless, contemporary definitions of competitiveness are unclear because of its scale and the simultaneous need for its application to entire nations. Consequently, this research analyses the transformation and interrelation of the concepts of ‘competition’ and ‘competitiveness’. Moreover, the research identifies and substantiates the main elements of the national economic competitiveness of Russia. The research findings facilitate future micro- and meso-level research on strategies for managing and transforming the national economy.

The purpose of this paper is to explore how countries can make a more efficient and effective cooperation strategy, considering their competitive strengths and weaknesses.

This paper is an exploratory study in examining the efficient way of national cooperation from the competitiveness perspective. By applying the double diamond-based nine-factor model and the framework for the life cycle of national competitiveness, this study proposes the importance of cooperation strategy, considering the current competitiveness status. A case study of two economies of South Korea (hereafter referred to as Korea) and Dubai reveals a potentially substantial cooperative relationship.

Although Korea and Dubai are geographically and culturally distant, they share complementary resources to enhance their overall competitiveness. In addition, their past experiences of growth can effectively deal with their current challenges and help their economies move to more advanced stage.

The methodology used in this paper can provide a useful guideline for policy makers to examine the current development status of their economies, find an appropriate cooperation partner and decide the priority of cooperating areas.

Although most existing studies explain national competitiveness from a narrow perspective, this paper provides a more comprehensive analysis using the extended model of Porter’s single diamond model. In addition, this paper conducts an intensive case study of Dubai and Korea for possible cooperation.

The purpose of this paper is to provide a framework for connecting macro‐ and micro‐level research on competitiveness.

Based on some major international survey research reports (by the WEF, IMD, OECD, and the EU) and research experience, a gap is described between national and firm level competitiveness studies. A reasoning why filling this gap is discussed and a general research model connecting the two levels by using Porter's diamond model is developed.

By using appropriate definitions of national and firm competitiveness and the diamond model a meaningful connection of the two levels can be created, which is useful both for connecting recent research results and as a foundation for further research.

Though the model is based on actual research experiences, its real value will become apparent after having it applied in concrete projects. This process is ongoing.

The model is a very useful tool in analysing real world situations, from economic policy issues to strategic management.

The paper is a result of extended research on competitiveness and provides a new model for further analyses in a very important field.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.

The data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.

Based on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.

The limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.

The RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.

Construction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

The purpose of this paper is to present a model for the analysis of the competitiveness of the higher education system based on the application of M. E. Porter’s diamond model for researching the competitiveness of the national higher education system.

For the research that is presented in the paper, several methods of theoretical research were used: induction, deduction and comparison.

Application of the selected model provided factors for assessment of the performance of higher education institutions and their performance, as well as the ability of higher education institutions to monitor the environment and, depending on the changes in the environment, to introduce internal changes.

The paper proposes a model for examining of the factors of competitiveness in the higher education system.