Team Climate,Team Cognition,Team Intuition,and Software Quality: The Moderating Role of Project Complexity

Teams represent a prevailing approach to getting work done in today’s hypercompetitive business environment. Although there is a widely held assumption that team-related capabilities determine the success of new product development projects, empirical research on team capabilities is scant. Based on the resource-based view of the firm, organizational learning theory, and situated learning theory, this study investigates the interrelationships among team climate, two information-processing capabilities (i.e., team cognition and team intuition), and software quality. As well, this study explores the moderating effect of project complexity between the information-processing capabilities and the quality of the software. In studying the data from 139 software development projects using the partial least squares structural equation modeling methods, we found that team climate has a direct influence on team cognition. Moreover, the findings showed that team cognition was positively related to the quality of the software product in general; in particular, this relationship was found to be far more significant when project complexity was used as a moderator. This finding indicates that the software development team’s ability to process information logically in order to interpret situations effectively allows the team to launch superior software products when unexpected and undesirable events make a project complicated and challenging to perform. In particular, managers should encourage teams to benefit from new ideas and make collective efforts for reaching goals. Managers should also enable teams to specialize in their tasks and improve their collective information-processing capabilities.     

Research on the Credit Cycle and Business Cycle with a Focus on Ten States from Central,Eastern, and Southeastern Europe

By performing an econometric analysis of the credit cycle and business cycle from an individual as well as a comparative perspective, with a focus on ten relevant economies from the areas of Central, Eastern, and Southeastern Europe, this research offers a fresh view regarding the importance of banks in promoting long-term economic growth through their lending capacity. The purpose is to better understand the behavior (the short- and medium-term dynamics) of the credit cycle and business cycle and the effects of the interactions between them. The results of this study offer valuable insights for both academics and policymakers and provide a warning to regulators not to overregulate or put too much pressure on banking activity.     

Political economy of eastern enlargement of the European Union: Budgetary costs and reforms in voting rules

Eastern European countries are likely to be major recipients of European Union (EU) funds after membership, which has created serious concern among incumbent members. The EU has devised reforms of budgetary rules to limit the funds that will flow to the East. Using a political economy model and drawing on the experience of previous enlargements, this paper argues that such pre-accession reforms will be ineffective because they can be reversed by a coalition of Eastern European countries after membership. The paper then estimates budgetary costs of eastern enlargement. A better way to resolve budgetary concerns is to reform voting rules rather than budgetary rules, before eastern enlargement.     

Inflation targeting in an import dependent indebted economy

This paper develops a one-sector Kaleckian model of an import dependent indebted small open economy; where the mark-up rate is sensitive to both changes in the interest rate and the exchange rate and foreigners provide part of the long-term finance. The short-run consequences of an inflation targeting policy in the form of high interest rates and strong domestic currency are explored. Among the possible short-run scenarios, the one most relevant for developing countries involves a decline in the profit rate, the capacity utilization rate and the rate of accumulation as well as the employment rate and the real wage. Leverage ratio of the firms and the extent of external indebtedness play an important role in bringing about this result. Long-run analysis reveals that this scenario is associated with instability in the long run and that, also in the long run, the extent of foreign indebtedness and the responsiveness of capital inflows to the return on existing portfolios are important in determining the direction of the effects of inflation targeting on the equilibrium debt–capital ratio.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Using macro cross‐border trade data to better understand micro‐level country of origin effects

The article adapts an estimation methodology from the border effects literature to reveal consumer ethnocentrism versus cosmopolitanism in each country, and animosity versus nostalgia between country pairs. The measurements rely on actual macro cross‐border trade data rather than individual purchase intentions typically used in the international marketing literature. The results from early 2010s suggest that purchasing intentions against imports found in this literature do not necessarily translate into actual consumption behavior in international trade. It is quite possible that the consumers are unable to assess country of origin of production despite growing ethnocentrism, and base their actual purchases on perceived origin of product brands. Specifically, it is found that most countries are cosmopolitan rather than ethnocentric, particularly developed countries, favoring any foreign product over domestic products. Most countries also have nostalgic purchasing behavior from specific trade partners with historical linkages. Outside the specific traditional animosities between a country pair, a developed country is relatively less open to imports from another developed trade partner, while an emerging country welcomes it more especially from another emerging trade partner.     

Economic diversification of a single-asset tourism city: evidence from Antalya†

It is often argued that the growth of single-asset tourism places is fragile because it is vulnerable to economic fluctuations and is based on specialization and localization economies that lead to an ever stronger lock-in process of path-dependent urban economic development and, in the end, slow growth. In this paper, it is doubted whether a high urban tourism growth implies an ever stronger specialization and an ever stronger lock-in. This paper shows that the growth of tourism stimulates the growth of related and unrelated industries and generates a diversification of the economy, even though some other sectors are crowded out. Antalya (Turkey) is selected as a case-study area not only because its economy is dominated by tourism (it is a good example of a single-asset tourism city), but also because its economy shows a tendency to economic diversification at the sectoral level. This diversification tendency is shown by means of a shift-share analysis and Herfindahl indexes.     

The impacts of bank-specific and macroeconomic variables on the capital adequacy ratio: evidence from Islamic banks

The study investigates the relationship between the capital adequacy ratio (CAR) and different bank-specific and macroeconomic variables for 28 Islamic banks. We document that there is a statistically significant positive relationship between the CAR and the bank-specific and macroeconomic variables. In particular, bank-specific variables such as ROA, ROE, leverage, credit risk and size show a strong association with the CAR, while on the macroeconomic side, inflation, market capitalization and exchange rate have an impact on the average Islamic bank in our sample study. Furthermore, we run another model (equity to assets ratio) as dependent, with similar control variables, and the results reveal that, except for inflation, all the variables that have a significant effect on the CAR also influence the equity to assets ratio.