Entrepreneurial capacities as antecedents of business performance in Brazilian firms

We investigate the relationship between entrepreneurial capacities and firm performance. More specifically, we investigate the effects of radical innovation and learning orientation on business performance. We test the effects of entrepreneurial orientation on learning orientation and radical innovation. The results suggest that radical product innovation and companies' orientation to learn have a positive effect on organizational performance. Additionally, we find that entrepreneurial orientation positively influences a firm's capability to learn and innovate. Our findings also show a direct effect of learning orientation on radical innovation, which means that companies with a higher proclivity to learn are more likely to create products and processes, representing a major departure from the state of current knowledge. Copyright © 2014 ASAC. Published by John Wiley & Sons, Ltd.     

Sustainable banking in Latin American developing countries: Leading to (mutual) prosperity

This article examines multinational banks’ (MNBs) approaches to corporate social responsibility (CSR) in developing countries’ subsidiaries, particularly in Latin America. Building on in-depth case studies of two MNBs that are based in Europe and market leaders in Latin America, we analyze their CSR motivations and outcomes in host countries. We examine institutional environments by applying the national business system framework, and we suggest missing categories in its financial and educational dimensions. We theorize how institutional necessity determines MNBs' CSR in developing countries. Finally, we examine the CSR outcomes in Latin America, where banks’ responsible conduct has led to major improvements in educational levels and financial inclusion. These improvements alleviate poverty and enhance both country's social wellbeing and MNBs’ legitimacy, leading to mutual prosperity.     

Destination Stakeholders' Perceptions of Volunteer Tourism: An Equity Theory Approach

This study explores destination stakeholders' perceptions of volunteer tourism (VT) using equity theory. In this paper, 26 semi‐structured interviews were conducted to understand individuals' needs, motivations, expectations and their assessments of inputs and outcomes. Equity theory sheds light on the micro‐level of interaction between residents and volunteers and demonstrates why and how residents of Cusco (Peru) with an active role in VT develop certain perceptions in direct encounters with volunteer tourists. The data reveal how perceptions differ according to the respondents' social roles within VT. Heterogeneity, dynamism and a fluctuation between materialities and affection are discussed as important outcomes of these interactions. Copyright © 2014 John Wiley & Sons, Ltd.     

Entrepreneurship and Independent Professionals: Social and Economic Logics

This study discusses stereotypes of entrepreneurship by looking at the overlapping areas of entrepreneurship, self-employment and professions. Professions are part of the category of self-employment and the study presents empirical findings drawn from a unique empirical dataset from Finland: a survey (N?=?733) including freelance journalists, translators, interpreters and artists at the blurred boundaries between waged work and entrepreneurship. Findings reveal that the professions are clearly different and the manifestations of entrepreneurship vary, reflecting the work and the labor market situation within the profession. Life and work situations of liberal professions cannot be interpreted in simple black-and-white schemes of winners and losers. Instead, many different socioeconomic situations can be found ‘in between,’ which are driven by different social logics. For entrepreneurship research, the study opens up new avenues by taking us beyond the push-pull dichotomy, which over-simplifies the decision to enter self-employment. The term entrepreneurship is often used in an undifferentiated way, and it easily generates myths and stereotypes which are challenged by the study. A narrower and more realistic view shows that there are diverse agents under the flag of entrepreneurship, who are usually not regarded as core entrepreneurs although they exist in everyday life.     

Large panels with common factors and spatial correlation

This paper considers methods for estimating the slope coefficients in large panel data models that are robust to the presence of various forms of error cross-section dependence. It introduces a general framework where error cross-section dependence may arise because of unobserved common effects and/or error spill-over effects due to spatial or other forms of local dependencies. Initially, this paper focuses on a panel regression model where the idiosyncratic errors are spatially dependent and possibly serially correlated, and derives the asymptotic distributions of the mean group and pooled estimators under heterogeneous and homogeneous slope coefficients, and for these estimators proposes non-parametric variance matrix estimators. The paper then considers the more general case of a panel data model with a multifactor error structure and spatial error correlations. Under this framework, the Common Correlated Effects (CCE) estimator, recently advanced by Pesaran (2006), continues to yield estimates of the slope coefficients that are consistent and asymptotically normal. Small sample properties of the estimators under various patterns of cross-section dependence, including spatial forms, are investigated by Monte Carlo experiments. Results show that the CCE approach works well in the presence of weak and/or strong cross-sectionally correlated errors.     

Spatial stochastic frontier models: controlling spatial global and local heterogeneity

In the last decade special attention has been focused on estimating a firm’s efficiency and productivity; Stochastic Frontier Analysis (SFA) has been one of the most used techniques that allows the separation of inefficiency from stochastic noise, assuming homogeneous technology is available to all producers and that there is independence between observations. However, this second assumption is violated data are spatial auto-correlated, thus biasing statistical inference. Attention has, therefore, shifted to models that allow the controlling of heterogeneity introducing, in the model or in the error term, contextual variables correlated with inefficiency. In our paper we propose viewing the spatial external factors (natural or artificial) in a new way: instead of identifying ex-ante a multitude of determinants, often statistically and economically difficult to detect, we suggested using an original methodology that, following a classical SFA approach, splits efficiency into three components: the first one is linked to the spatial lag, the second one to the DMU’s specificities, and the third to the error term. Finally, we tested our method using simulated data and examined the Italian wine sector, testing the ability to control spatial, global and local heterogeneity.     

Enabling and inhibiting factors in adoption of Electronic-Reverse auctions: A longitudinal case study in grocery retailing

Abstract

The paper aims to explore the factors that enable or inhibit the use of Electronic-Reverse Auctions (E-RAs) in the buying process of a large food retail organization, through a category management perspective. Using a case-study analysis based on in-depth interviews, examination of internal documents, simulation and direct observation of some E-RAs, we studied the experience of an Italian-based retailer conducting E-RAs during a two-year period. This approach enabled us to propose an E-RAs development model in retail buying groups, discussing enabling and inhibiting factors such as product, market, organizational and strategic factors. Propositions are developed to stimulate thought and provide guidance for future research.     

Option Pricing in Stochastic Volatility Models of the Ornstein-Uhlenbeck type

Stochastic volatility models of the Ornstein-Uhlenbeck type possess authentic capability of capturing some stylized features of financial time series. In this work we investigate this class of models from the viewpoint of derivative asset analysis. We discuss topics related to the incompleteness of this type of markets. In particular, for structure preserving martingale measures, we derive the price of simple European-style contracts in closed form. Furthermore, the range of viable prices is determined and an empirical application is presented.     

The physics of the city: pedestrians dynamics and crowding panic equation in Venezia

In this paper we present the physics of the city, a new approach in order to investigate the urban dynamics. In particular we focus on the citizens’ mobility observation and modeling. Being in principle the social dynamics not directly observable, our main idea is that observing the human mobility processes we can deduce some features and characteristics of social dynamics. We define the automata gas paradigm and we write a crowding equation able to predict, in a statistical sense, the threshold between a selforganized crowd and a chaotic one, which we interpret as the emergence of a possible panic scenario. We show also some specific results obtained on the Venezia pedestrian network. Firstly, analyzing the network we estimate the Venice complexity, secondly measuring the pedestrian flow on some bridges we find significant statistical correlations, and by the experimental data we design two different bridges flow profiles depending from the pedestrian populations. Furthermore considering a reduced portion of the city, i.e. Punta della Dogana, we build up a theoretical model via a Markov approach, with a stationary state solution. Finally implementing some individual characteristics of pedestrians, we simulate the flows finding a good agreement with the empirical distributions. We underline that these results can be the basis to construct an E-governance mobility system.