Strategic Capabilities and Performance in Women‐Owned Businesses in Mexico

The dire economic situation in Mexico, with its high rate of unemployment, makes it necessary for many women to find some form of economic activity to provide income for their families. Although such conditions could encourage the creation of new firms, the results of the Global Entrepreneurship Monitor 2006 Report show a gap between the number of women involved in nascent and young entrepreneurship initiatives and the number who owns established firms. This gap may indicate that the firms created need to improve their competitiveness and their ability to survive. The model proposed adopts the resource‐based view of the firm as a theoretical framework from which to study how entrepreneurial orientation, market orientation, and learning orientation, as well as the interactions between them, influence the achievement of competitive advantage and superior performance in businesses owned by women. Our investigation analyzes businesses established and managed by women in Mexico and registered with the Asociación Mexicana de Mujeres Empresarias A.C. (Mexican Association of Business Women) and the Red de Empresarias del Instituto Nacional de Mujeres (Women Entrepreneurs Network of the National Women's Institute). To gather the information needed, the study used a questionnaire as a measuring instrument. The results are based on the 90 complete answers received from the questionnaires distributed. The results show that all of relationships in our model are positive except the hypothesis that learning orientation mediates in the relationship between market orientation and performance. The results suggest that entrepreneurial orientation reinforces the effect of two capabilities, market orientation and learning orientation, on firm performance. They also reaffirm that the three capabilities assessed may lead an organization to differentiate itself from its competitors by improving its performance. In addition to contributing to the literature on female entrepreneurship, the results have important implications for management. Understanding the relationships between capabilities and the performance of women‐owned businesses in Mexico can permit the identification of areas for improvement to promote the growth and survival of this type of firm.     

The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.     

Successful eco‐innovators: Exploring the association between open inbound knowledge strategies and the performance of eco‐innovative firms

The main purpose of this paper is to analyse the association between open inbound knowledge strategies and the performance of eco‐innovative firms in the food and beverage industry. We propose a mixed framework based on the eco‐innovation literature and the open innovation approach. We consider the characteristics in a traditional sector based upon a resource‐based perspective. Three types of firms are distinguished in terms of their sales growth in the Spanish food industry from the least to the most successful eco‐innovators. Using multinomial logistic regression models, it is shown that the diversity of collaborators (breadth of external sources of knowledge) and joint adoption of product and process eco‐innovations are positively associated with the probability of achieving high sales growth. Moreover, we find an inverted U‐shaped relationship between the breadth of the external search and firm performance, but only for the group of the most successful firms. Moreover, operational flexibility, knowledge‐based capabilities and company size are also positively related to the group of successful eco‐innovators.     

Has the CSR engagement of electrical companies had an effect on their performance? A closer look at the environment

Even though electrical companies attain a top ranking in the publication of CSR reports, they are often accused of 'green‐washing' due to their bad environmental reputation. The current economic crisis is testing their real CSR commitment more than ever, especially when this goes beyond its economic consequences. Based on a worldwide sample of electrical companies, we are going to study why companies are being socially responsible. We wish to know if it is due to the impact on the firms' performance or whether there are other motives (legitimation, improving their reputation) that lead companies to carry out these practices. We will also consider if it changes across the kind of CSR action considered. The results show that there is an economic justification beyond the socially responsible behaviour of the electrical companies. Additionally, most kinds of CSR action (community, diversity, corporate governance, product responsibility) are also carried out looking for economic rewards. However, the CSR actions oriented to the environment are mainly motivated by their need to improve their image and reverse their negative impact. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Using reputation for corporate sustainability to tackle banks digitalization challenges

The new landscape in the financial sector, characterized by fierce competition and the entrance of new technological players, has forced banks to speed up their digital transformation. However, for banks, digitalization entails challenges that can hinder the potential benefits and compromise their survival. In this context, we argue that the reputation generated by corporate sustainability (RCS) may offset these digitalization drawbacks. In particular, we find that the combination of RCS and digitalization facilitates in transforming the organizational nature of banks by simultaneously narrowing their boundaries and expanding their scope. We empirically confirm our hypotheses by analyzing a panel of 110 multinational banks from developed countries.