Knowledge spillovers and strategic entrepreneurship: what researches and approaches?

International Entrepreneurship and Management Journal - Based on the need for companies to remain competitive and dynamic in a constantly changing environment, this systematic review on knowledge...     

Packs,Troops and Herds: Prosocial Cooperatives and Innovation in the New Normal

Prosocial organizations are emerging to tackle the effects of a New Normal. As they navigate its fragile and liquid institutional membranes, they prioritize cooperative forms of governance. These forms allow for collaboration and democratic decision-making necessary for the development of innovative solutions in this new context. At the same time, the high coordination costs of cooperatives lead to significant market pressures. Therefore, understanding when and under what conditions these new cooperatives innovate and strive is important as it provides insight into whether and how these ventures can become a viable alternative in this changing landscape. Using configurational analyses of organizational enablers leading to innovation in 40 entrepreneurial cooperatives, we identify three approaches: Attentive Pack, Eclectic Troop, and Wandering Herd, showing that innovative outcomes can indeed emerge under traditional cooperative features emphasizing collectivism. However, the pursuit of higher novelty requires a shift to more individualistic, business-as-usual, approaches. The New Normal does indeed enhance entrepreneurial activity, but of a different kind comprising novel sets of antecedents and outcomes, which we show can easily become the new dominant form of venturing required in this new context.     

When is escalation of commitment unstoppable in group settings? An iterative economic modeling approach to unveil the dark side of group decision-making

Escalation of commitment (EOC) has been usually studied from a psychological lens, and only recently have scholars approached EOC from an economic perspective. We contribute to this by focusing on iterative decision-making in group settings with a game theory approach. We study how the group members' strategic interaction may result in continuing failing courses of action. Drawing on the Byzantine generals' problem, our model considers an iterative decision-making process where committee participants vote based on private information to escalate or not. Our article demonstrates that if decision-makers reset their beliefs based on the committee's previous decision, then EOC becomes perpetual.     

Identifying the Transition from Efficient-Market to Herding Behavior: Using a Method from Econophysics

We test whether “detrended fluctuation analysis” (DFA)—an econophysics method—identifies the transition from efficient-market trading to herding behavior and the rise of the NASDAQ dot.com stock market bubble. DFA divides a time series into “segments” of varying lengths and then tests whether power-law distributions exist within the segments. A power-law distribution of stock-price changes within a segment indicates herding behavior and the start of the dot.com bubble. The clarity of the transition indication depends on both segment lengths and segment starting dates. Our findings show that DFA can be used to identify the beginning of stock-market bubbles but not the beginning of crashes.     

Regime-switching purchasing power parity in Latin America: Monte Carlo unit root tests with dynamic conditional score

We suggest a Monte Carlo simulation-based unit root test of the purchasing power parity theory for Latin American countries. Under the null hypothesis, we use a Markov regime-switching (MS) model with unit root in the conditional location and MS volatility dynamics. Under the alternative hypothesis, the proposed test incorporates Markov regime-switching autoregressive moving average (MS-ARMA) plus MS volatility dynamics. Under both the null and alternative hypotheses, one of the volatility models estimated is Beta-t-EGARCH, which is a recent dynamic conditional score volatility model. We use data on real effective exchange rate time series for 14 Latin American countries. For each country, we estimate by Monte Carlo simulation the critical values of the unit root test. We provide an economic discussion of the unit root test results and also study the robustness of MS-ARMA plus MS volatility with respect to smooth transition autoregressive models with Fourier function.     

On the stability of value added indicators

This paper shows how relevant concepts in educational effectiveness can support public policy in order to improve the performance of educational systems. Specifically, value-added indicators and the property of their stability over time is addressed with reference to application to school/teacher improvement. Findings of a longitudinal study developed in Portugal concerning primary education in mathematics are presented. Variance component models are fitted in order to obtain those indicators yearly to class-school units. Results of this study reveal that value-added indicators can be a useful instrument for progressive improvement in education, particularly in countries with high rates of student retention and evasion. The novelty of this paper is to measure value added over a single year rather than all stage of schooling that refers to more than 1 year.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

An approximation method to derive confidence intervals for quantiles with some applications

Standard jackknife confidence intervals for a quantile Q _y (β) are usually preferred to confidence intervals based on analytical variance estimators due to their operational simplicity. However, the standard jackknife confidence intervals can give undesirable coverage probabilities for small samples sizes and large or small values of β. In this paper confidence intervals for a population quantile based on several existing estimators of a quantile are derived. These intervals are based on an approximation for the cumulative distribution function of a studentized quantile estimator. Confidence intervals are empirically evaluated by using real data and some applications are illustrated. Results derived from simulation studies show that proposed confidence intervals are narrower than confidence intervals based on the standard jackknife technique, which assumes normal approximation. Proposed confidence intervals also achieve coverage probabilities above to their nominal level. This study indicates that the proposed method can be an alternative to the asymptotic confidence intervals, which can be unknown in practice, and the standard jackknife confidence intervals, which can have poor coverage probabilities and give wider intervals.     

Malmquist indices of productivity change in Portuguese banking: The deregulation period

This paper will evaluate productivity change in Portuguese banking using the Malmquist productivity index. The results show that between 1990 and 1997, banks in Portugal witnessed increased productivity and strong technological progress. Both small and large banks experienced higher productivity and technological change scores, while mid-sized institutions are putting more effort into catching-up policies. Rural banks have experienced strong productivity growth and are catching up with the best practices but lower levels of technological change. Urban banks show higher productivity growth and technological change levels. Government-owned banks have experienced lower levels of productivity change. Finally, the asset per employee ratio shows a positive correlation with the productivity scores, suggesting that this simple index is a good proxy for productivity.     

The Evolution of Industrial Earnings Inequality in Mexico and Brazil

Industrial data are used to derive estimates of the pattern of change in wage inequality in Mexico and Brazil. Using the group decomposition of Theil's T -statistic, the paper presents monthly changes in the dispersion of industrial wages for Brazil (1976 through 1995) and for Mexico (1968 through 1998). Both countries show increases in wage dispersion over time, and a strong negative correlation is found with the rate of real economic growth. Other things equal, the later Brazilian heterodox stabilization plans seem to have reduced inequality in the short run.