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Based on an efficiency analysis of the Global Entrepreneurship Index (GEI), the purpose was to demonstrate that the Key Performance Indicators’ analysis leads to a misinterpretation of the dynamics of National Systems of Entrepreneurship (NSEs). This might hamper the formulation of sound initiatives in other economies, with relevant implications for developing countries.

This study categorized GEI indicators into output and input indicators. Following this procedure, each dimension was analyzed separately and then compared to each other, considering countries’ productivity rates. The main focus is given to the case of the US, the usual benchmark for NSEs and leader in the GEI Index. Lastly, a taxonomy of NSEs according to their efficiency levels was developed.

The findings of the analysis demonstrates that innovation-driven economies with lower positions in GEI ranking often have higher productivity rates when compared to economies with higher positions in GEI ranking. Specifically, the US appears not to be a good benchmark in terms of NSE efficiency.

The study’s approach is limited in scope by data availability on NSEs and the use of GEI, a representation of aggregate patterns of country-level entrepreneurial dynamics. More refined data are needed in order to clarify some insights from this research.

The perception of systemic efficiency should be considered more thoroughly when designing dedicated entrepreneurship-oriented policies in other countries that aim at establishing a more vibrant entrepreneurial system while facing resource constraints.

Simplistic views of systemic aspects may hamper the formulation of sound entrepreneurship-oriented initiatives with particularly relevant implications for public policy in laggard economies.

The value of this article relies on applied a simple metric – efficiency ratio – order than, e.g. data envelopment analysis to portray a key issue related to the interpretation of supranational rankings related to the entrepreneurship ecosystem make mainly by policymakers and scholars that is: pick the 1st one, follow the leader.

According to the results of FMI log interpretation and the water cut trend of low permeable carbonate reservoirs, the model of the fluid distribution in the fracture-cavity pore was derived. Based on the material balance principle, assuming the original water contribution to production as constant water influx, a new calculating method for the low permeable carbonate reservoir geological reserves was presented. This method estimated the impact of origin aquifer to the geological reserves. The calculating results of example indicate that comparing to numerical simulation, this new method is high accuracy and easy to use.

The purpose of this paper is to analyze the historical gas allocation pattern for seeking appropriate arrangement and utilization of potentially insufficient natural gas supply available in Pakistan up to 2030.

This study presents Markov chain-based modeling of historical gas allocation data followed by its validation through error evaluation. Structural prediction using classical Chapman–Kolmogorov method and varying-order polynomial regression in the historical transition matrices are presented.

Markov chain model reproduces the terminal state vector with 99.8 per cent accuracy, thus demonstrating its validity for capturing the history. Lower order polynomial regression results in better structural prediction compared with higher order ones in terms of closeness with Markov approach-based prediction.

The data belongs to a certain geographic region with specific gas demand and supply profile. The proposition may be tested further by researchers to check the validity for other comparable structural predictions/analyses.

This study can facilitate policy-making in the field of natural gas allocation and management in Pakistan specifically and other comparable countries generally.

Two major literature gaps filled through this study are: first, Markov chain model becomes stationary when projected using Chapman–Kolmogorov relation in terms of a fixed, average transition matrix resulting in an equilibrium state after a finite number of future steps. Second, most of the previous studies analyze various gas consumption sectors individually, thus lacking integrated gas allocation policy.

This paper aims to elucidate the geochemical characteristics of the hydrothermally altered rocks with gold mineralization and the elemental transfers in hydrothermal alteration hosted in alkaline complex in Hongshan area, Taihang Orogen, North China, and preliminarily discuss the relationship between the gold mineralization and the hydrothermal alteration.

Based on detailed field investigation, sampling and petrographical observation, major oxides and trace elements of nine rock samples are analyzed, and the method of mass balance equation is used in calculation of the elemental transfer.

Three alteration stages in the Hongshan area are identified, which are the early, main and late alterations. The early one is characteristic of extensive pyritization in the complex, which is related to the mantle-derived magmas and occurs before gold mineralization. The main one is characterized by developing a great deal of altered rock in fracture zones with the gain of many elements and the loss of a few elements. The late one is dominated by limonitization, that is limonite replacing the early pyrite or Fe₂O₃ replacing FeO in rocks. In the main alteration, the altered rocks obviously gain fluid component (LOI, i.e. loss on ignition) and elements such as V, As, Rb, Au, La, Ce and Nd and total rare earth elements (REEs). Elements such as K, Fe, Cu, Zn, Y, Mo, Sb, W, Re and U are gained in some altered rocks. Na and Sr are lost in all altered rocks, and Th and Bi are lost in some ones in the meantime. The following elements: Si, Mg, Mn, Ca, Li, Sc, Cr, Co, Ni, Zr, Ag, Ba and Hg show either gain or loss in different altered rocks. Au is notably enriched in the hydrothermal alteration. The elemental gain or loss in the altered rocks indicates that the main mineralization develops extensive de-alkalinization, local potassic metasomatism, silicification or desilicification.

This paper aims to investigate the distributed coordinated fuzzy tracking problems for multiple mechanical systems with nonlinear model uncertainties under a directed communication topology.

The dynamic leader case is considered while only a subset of the follower mechanical systems can obtain the leader information. First, this paper approximates the system uncertainties with finite fuzzy rules and proposes a distributed adaptive tracking control scheme. Then, this paper makes a detailed classification of the system uncertainties and uses different fuzzy systems to approximate different kinds of uncertainties. Further, an improved distributed tracking strategy is proposed. Closed-loop systems are investigated using graph theory and Lyapunov theory. Numerical simulations are performed to verify the effectiveness of the proposed methods.

Based on fuzzy control and adaptive control theories, the desired distributed coordinated tracking control strategies for multiple uncertain mechanical systems are developed.

Compared with most existing literature, the proposed distributed tracking algorithms use fuzzy control and adaptive control techniques to cope with system nonlinear uncertainties of multiple mechanical systems. Moreover, the improved control strategy not only reduces fuzzy rules but also has higher control accuracy.

With an emphasis on displaced aggression theory and social exchange theory, this study aims to investigate the harmful effects of exploitative leadership (EL) on employee creativity (EC) through the mediating role of knowledge hiding (KH). Moreover, this study examines the boundary effects of leader–member exchange (LMX) to explore conditions under which KH is more or less likely to occur.

The study employed time-lagged (i.e. three-wave), multisource (i.e. self-rated and peer-rated) research design to collect data from employees working in Pakistani service sector organizations. The study analyzed 323 responses using SMART PLS (v 3.3.3) to assess the measurement model and the structural model.

The findings reveal that EL is positively related to KH and negatively related to EC. The results also show partial mediating role of KH in the indirect relationship between EL and EC. Besides, the study also found that LMX moderates the positive relationship between EL and KH, and the negative relationship between EL and EC.

The study divulges interesting findings that subordinates at high-quality LMX relationships (i.e. in-group members) are more susceptible to the harmful effects of supervisory unjust treatment than at low-quality LMX relationships (i.e. out-group members). Thus, occurrence context of KH, i.e. EL should be minimized through appropriate organizational interventions.

This study contributes to the leadership and knowledge management literature by testing a hitherto unexplored moderated mediation model.

The US Securities and Exchange Commission (SEC) requires public companies to file structured data in eXtensible Business Reporting Language (XBRL). One of the key arguments behind the XBRL mandate is that the technical standard can help improve processing efficiency for data aggregators. This paper aims to empirically test the data processing efficiency hypothesis.

To test the data processing efficiency hypothesis, the authors adopt a two-sample research design by using data from Compustat: a pooled sample (N = 61,898) and a quasi-experimental sample (N = 564). The authors measure data processing efficiency as the time lag between the dates of 10-K filings on the SEC’s EDGAR system and the dates of related data finalized in the Compustat database.

The statistical results show that after controlling for potential effects of firm size, age, fiscal year and industry, XBRL has a non-significant impact on data efficiency. It suggests that the data processing efficiency benefit may have been overestimated.

This study provides some timely empirical evidence to the debate as to whether XBRL can improve data processing efficiency. The non-significant results suggest that it may be necessary to revisit the mandate of XBRL reporting in the USA and many other countries.

This study investigates the implementation challenges and economic consequences of the International Financial Reporting Standards 9 (IFRS 9) Financial Instruments.

Descriptive evidence on equity asset reclassifications and estimated impairment using the new expected credit loss (ECL) model are presented. Multivariate analyses on the disposal of available-for-sale (AFS) and fund investment post-announcement and the value relevance of impairments to financial assets post-implementation are performed.

Over 60% of sample firms report inconsistent equity asset reclassifications and do not change estimated impairment using the new expected credit loss model. Firms also switch from AFS to equity fund investments post-announcement. Lastly, impairments to financial assets increase in value relevance to investors’ post-implementation, but only in financial institutions and firms with Big 4 auditors.

This study's findings suggest that IFRS 9 presents implementation challenges and changes equity investment strategies. They also indicate cross-sectional differences in firms' ability to effectively apply the new standards. This study is valuable for policymakers, business leaders, investors and academics.

Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the infrastructure financialization focuses on qualitative and lacks quantitative country-specific studies. On the other hand, the spatial heterogeneity and influencing factors of infrastructure financialization are ignored. This study takes China as a typical case to identify and analyze the spatial characteristics, development process and impact factors of infrastructure financialization.

To assess the development and characteristics of infrastructure financialization in China, this study constructs an evaluation index of infrastructure financialization based on the infrastructure financialization ratio (IFR). This study then analyzes the evolution process and spatial pattern of China's infrastructure financialization through the spatial analysis method. Furthermore, this study identifies and quantitatively analyzes the influencing factors of infrastructure financialization based on the spatial Dubin model. Finally, this study offers a policy suggestion as a governance response.

The results demonstrate that infrastructure financialization effectively promotes the development of infrastructure in China. Second, there are significant spatial differences in China’s infrastructure financialization. Third, many factors affect infrastructure financialization, with government participation having the greatest impact. In addition, over-financialization of infrastructure has the potential to lead to government debt risks, which is a critical challenge the Chinese Government must address. Finally, this study suggests that infrastructure financialization requires more detailed, tailored,and place-specific policy interventions by the government.

This study not only contributes to enriching the knowledge body of global financialization theory but also helps optimize infrastructure investment and financing policies in China and provides peer reference for other developing countries.

The purpose of this paper is to investigate how and why information systems (IS) enhance firm performance (FP) from a knowledge management perspective. Drawing upon the knowledge-view of the firm and organizational learning theories, we develop and empirically test a theoretical model where knowledge sharing (KS) plays a mediating role between IS maturity (ISM) and FP.

Data were collected through a survey of business managers in China. The model was tested by using the partial least squares structural equation modeling approach.

The results provide support for the propose research model and confirm that ISM is positively associated with FP, and KS partially mediates the effects of ISM.

This study contributes to the IS literature by reconceptualizing the ISM construct and testing the mediating effect of KS and, thus, offers some answers to the “how-and-why” question about the value of IS.