Old flames never die – the role of binding social ties for corporate entrepreneurship in family firms

This paper investigates the role of social ties and family embeddedness for corporate entrepreneurship in family firms. Family firms are mostly characterized by close and often inseparable ties between the dominant family coalition and the firm and offer specific resources within a context of both rational as well as non-rational factors that influence entrepreneurial strategies. We empirically test (n =?181) the relationship between binding social ties and innovation, strategic renewal, and corporate venturing. Our findings indicate a strong significance for networks and close and stable relationships both to inside the firm and the outside in decision making for corporate venturing and innovation. In contrast, the results for strategic renewal show no relevance of strong social ties. We link up with the debate on the role of owners as an important stakeholder group.

     

ML– and semiparametric estimation in logistic models with incomplete covariate data

ML–estimation of regression parameters with incomplete covariate information usually requires a distributional assumption regarding the concerned covariates that implies a source of misspecification. Semiparametric procedures avoid such assumptions at the expense of efficiency. In this paper a simulation study with small sample size is carried out to get an idea of the performance of the ML–estimator under misspecification and to compare it with the semiparametric procedures when the former is based on a correct assumption. The results show that there is only a little gain by correct parametric assumptions, which does not justify the possibly large bias when the assumptions are not met. Additionally, a simple modification of the complete case estimator appears to be nearly semiparametric efficient.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.     

Do Overconfident Workers Cooperate Less? The Relationship Between Overconfidence and Cooperation in Team Production

The tendency to underestimate others' relative performance compared with one's own is widespread among individuals in all work environments. We examine the relationship between, and the driving forces behind, individual overconfidence and voluntary cooperation in team production. Our experimental data suggest an indirect and gender‐specific link: overconfident men hold more optimistic beliefs about coworkers' cooperativeness than men who lack confidence and are accordingly significantly more cooperative, whereas overconfidence, beliefs, and cooperativeness are not correlated in women. Copyright © 2014 John Wiley & Sons, Ltd.     

Enhancing Stock Market Return with New Product Preannouncements: The Role of Information Quality and Innovativeness

To advance development and application of signaling theory in the new product preannouncement literature while seeking to resolve ambiguity regarding the influence of innovativeness on stock market return, the role of information quality is examined. Specifically, this study investigates the effect of innovativeness across low and high levels of information quality. The results, ascertained using event study methodology on a sample of 243 new product preannouncements collected over a nine‐year period, indicate that higher information quality increases the strength of the positive relationship between innovativeness and stock market return. The findings offer managers insight into what role information quality plays in new product preannouncements that can help their firms generate higher stock market return.     

Regime shifts in stock–flow I(2)–I(1) systems: the case of US fiscal sustainability

In the last two decades, fiscal sustainability has been tested through the use of non‐stationary time series analysis. Two different approximations can be found in the literature: first, a univariate approach that has focused on the stochastic properties of the stock of debt and, second, a multivariate one that has focused on the long‐run properties of the flows of expenditures and revenues, i.e., in the stochastic properties of the deficit. In this paper we unify these approaches considering the stock–flow system that fiscal variables configure. Our approach involves working in an I(2) stochastic processes framework. Given the possibility of the existence of regime shifts in the sustainability of US deficit that the literature has pointed out, we develop a new statistic that can be applied to test several types of I(2) cointegration and multicointegration relationships allowing for regime shifts. To test for these kinds of changing long‐run relationships we propose the use of a residual‐based Dickey–Fuller class of statistic that accounts for one structural break. We show that consistent estimates of the break fraction can be obtained through the minimization of the sum of squared residuals when there is I(2) cointegration. The finite sample performance of the proposed statistic is investigated by Monte Carlo simulations. The econometric methodology is applied to assess whether the US fiscal deficit and debt are sustainable. Copyright © 2010 John Wiley & Sons, Ltd.     

Q method and ethnography in tourism research: enhancing insights,comparability and reflexivity

Whereas other writers have recently presented Q method as an option for use in combination with traditional surveys, I employed the mind-mapping technique within a deeply qualitative approach. Showing how the Q method adds value to reflexive ethnography, I highlight the extended possibilities for its application in tourism studies. The method allows qualitative researchers’ novel entries into the perspectives and lived experiences of hosts as well as guests, providing enough rigidness to enhance their systematic handling and comparability, while being flexible enough to do justice to their complexities and nuances. The Q method can successfully be embedded in ethnographic fieldwork practices and used even with illiterate people. By adding themselves as a research participant, researchers can reflect intensely on their own subjective understandings and positions, as well as on their methodological approaches. This is of special value in tourism studies where extended reflexivity is especially urgent, because researchers are often placed in the same category as tourists by their research participants.     

A LITERATURE SURVEY ON PROPOSED AFRICAN MONETARY UNIONS

This study provides a survey of recent advances in the literature on proposed African monetary unions. The survey comprises about 70 empirical papers published during the past 15 years. Four main strands are discussed individually and collectively. They comprise the proposed: (i) West African Monetary Zone (WAMZ), (ii) East African Monetary Union (EAMU), (iii) Southern African Monetary Union (SAMU) and (iv) African Monetary Union (AMU). We observe a number of issues with establishing the feasibility and/or desirability of potential monetary unions, inter alia, they are variations in: choice of variables, empirical strategies, sampled countries and considered periodicities. We address this ambiguity by reviewing studies with scenarios that are consistent with Hegelian dialectics and establish selective expansion as the predominant mode of monetary integration. Some proponents make cases for strong pegs and institutions as viable alternatives to currency unions. Using cluster analysis, disaggregating panels into sub-samples and distinguishing shocks from responses in the examination of business cycle synchronisation provide more subtle policy implications. We caution that for inquiries using the same theoretical underpinnings, variables and methods just by modifying the scope/context and periodicity may only contribute to increasing the number of conflicting findings. Authors should place more emphasis on new perspectives and approaches based on caveats of, and lessons from the European Monetary Union (EMU) and CFA zones.     

Information Sharing and Financial Sector Development in Africa

This study investigates the effect information sharing has on financial sector development in 53 African countries for the period 2004 to 2011. Information sharing is measured with private credit bureaus and public credit registries. Hitherto unexplored dimensions of financial sector development are employed, namely: financial sector dynamics of formalization, informalization, and non-formalization. The empirical evidence is based on Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM). The following findings are established. Information-sharing bureaus increase (reduce) formal (informal/non-formal) financial sector development. In order to ensure that information-sharing bureaus improve (decrease) formal (informal/non-formal) financial development, public credit registries should have between 45.45 and 50% coverage while private credit bureaus should have at least 26.25% coverage.     

Aufdeckung von Versicherungsbetrug bei Kfz-Schäden mit Hilfe des Benford-Tests

The German Insurance Association estimates a yearly amount of damage of € 1.5?bn to German motor vehicle insurance companies because of systematic fraud by insurance holders. It is supposed that about 10% of submitted claim applications contain manipulated data, therefore insurance companies are forced to complete a detailed and cost intensive case-by-case review of each single application. An alternative method to detect fraud in empiric data is the method of digital analysis based on Benford’s law. The Benford method uses a mathematical law of specific logarithmic distribution attributes of first digits. According to this approach, the data of a Benford set confirm with the expected digit distribution, if the data is not manipulated, whereas fraudulent interventions lead to a deviation from Benford’s law. Hence, until now there has not been any investigation whether the Benford method can also be applied on insurance data. The present article analyses a dataset consisting of more than 120,000 damage claim applications to answer this question as well as to identify the impact of specific characteristics on the probability of fraud contained in claim applications, such as the repair of the vehicle in a franchised or an independent workshop, the vehicle brand or the examination by insurance companies experts. Indeed it could be shown that Benford’s Law is only applicable on second digits of insurance data, but delivers very strong results here: All results of the considered characteristics could be verified by plausible arguments. For this reason insurance companies can benefit from making use of the Benford method to identify those claim applications with a high probability of fraud, which should then be reviewed in more detail so that resources can be allocated in a much more cost efficient way.