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.     

Inter-firm R&D collaboration within and across national borders

We set up a model to investigate the strategic aspect of a firm's incentive to collaborate in cost-reducing R&D with either a local or a foreign partner. We argue that collaboration with a foreign firm is preferred to collaboration with a local firm if the extra profits generated by a foreign collaboration exceed the additional cost of coordinating collaboration across national borders. We show that foreign collaboration is more likely the bigger the home market size of the foreign firm and, given certain conditions, the higher the international trade cost. We also show that whenever a foreign collaboration arises in equilibrium, it is efficient (i.e., world-welfare-maximising) and that there are cases where (a) a foreign collaboration would be efficient but a local collaboration emerges in equilibrium, and (b) an efficient foreign collaboration emerges in equilibrium, but one of the countries would prefer a local collaboration. We briefly consider the policy implications of these findings.     

Can traffic light nutritional labels induce healthier consumer choices? Experimental evidence from a developing country

In a context of increasing health problems related to bad dietary habits in developing countries, simplified nutritional label formats may be a promising policy alternative. The aim of this study is to assess whether the multiple traffic light (MTL) system can improve the nutritional quality of consumer decisions. We conducted a selection experiment in Peru, where participants were offered a choice between three alternatives in two different food categories (crackers and beverages). Individuals were randomly assigned products with MTL labels on them. Our results reveal that exposure to MTL labels significantly increases the probability of avoiding the least healthy options and of choosing the healthiest items among the alternatives provided. These effects are large in magnitude and seem to be driven by individuals that are female, report average or above average dietary habits, and lack basic nutritional knowledge. However, our findings also suggest that the effectiveness of MTL labels may be sensitive to the specific characteristics of the set of options provided. These findings contribute to the emerging experimental literature on MTL labels in two ways. First, we provide evidence that this system can be effective in inducing consumers to make healthier choices in real‐life situations. Second, we explore which individuals are more likely to benefit from exposure to MTL labels, as well as potential limitations to their effectiveness. Overall, our results provide new insights on how to assess the issue of bad nutrition in emerging economies.     

Improving Supply Chain Efficiency Through Electronic Payments: The Case of Micro-Entrepreneurs in Kenya and Tanzania

Research suggests that one possible key to development may be the growth of micro-entrepreneurial firms. The current work suggests that improving supply chain efficiency may help these very small enterprises grow. Specifically, it examines the role played by the use of mobile payments to facilitate transactions with suppliers. The study contrasts Kenya, which has widespread adoption of mobile payments by both consumers and small business, with neighboring Tanzania, where adoption, although substantial, has occurred at a much slower rate and achieved far less penetration. Findings support the idea that positive business outcomes such as increased income and increased hiring are related to mobile payment usage.     

Interactive Effects of Network Capability,ICT Capability,and Financial Slack on Technology‐Based Small Firm Innovation Performance

This study examines the influence of network capability (the ability to use external relationships), information and communications technology (ICT) capability (the ability to strategically use ICT for business purposes), and financial slack (unused and uncommitted financial resources) on the innovation performance of small firms. This extends the current resource‐based view and small firm innovation management literatures by proposing the direct and interactive effects of organizational capabilities and financial slack. The results of regression analysis based on survey data from technology‐based Swedish small firms show that the three‐way interaction involving network capability, ICT capability, and financial slack influences innovation performance.     

Estimating time-varying parameters in brand choice models: A semiparametric approach

Nowadays, brand choice models are standard tools in quantitative marketing. In most applications, parameters representing brand intercepts and covariate effects are assumed to be constant over time. However, marketing theories, as well as the experience of marketing practitioners, suggest the existence of trends or short-term variations in particular parameters. Hence, having constant parameters over time is a highly restrictive assumption, which is not necessarily justified in a marketing context and may lead to biased inferences and misleading managerial insights.In this paper, we develop flexible, heterogeneous multinomial logit models based on penalized splines to estimate time-varying parameters. The estimation procedure is fully data-driven, determining the flexible function estimates and the corresponding degree of smoothness in a unified approach. The model flexibly accounts for parameter dynamics without any prior knowledge needed by the analyst or decision maker. Thus, we position our approach as an exploratory tool that can uncover interesting and managerially relevant parameter paths from the data without imposing assumptions on their shape and smoothness.Our approach further allows for heterogeneity in all parameters by additively decomposing parameter variation into time variation (at the population level) and cross-sectional heterogeneity (at the individual household level). It comprises models without time-varying parameters or heterogeneity, as well as random walk parameter evolutions used in recent state space models, as special cases. The results of our extensive model comparison suggest that models considering parameter dynamics and household heterogeneity outperform less complex models regarding fit and predictive validity. Although models with random walk dynamics for brand intercepts and covariate effects perform well, the proposed semiparametric approach still provides a higher predictive validity for two of the three data sets analyzed.For joint estimation of all regression coefficients and hyperparameters, we employ the publicly available software BayesX, making the proposed approach directly applicable.     

Applying Person‐Environment Fit Theory to Identify Personality Differences between Prospective Social and Commercial Entrepreneurs: An Explorative Study

Research has started to investigate personality traits of social entrepreneurs because such traits in commercial entrepreneurs have been found to affect new venture creation/success. In this exploratory study, we apply the person‐environment fit theory and analyze specific social entrepreneurial personality dimensions (i.e., altruism, empathic concern, personal distress, compassion), and classical entrepreneurial personality dimensions (i.e., need for achievement (nAch), entrepreneurial self‐efficacy (ESE), general self‐efficacy, risk‐taking propensity) to identify differences between prospective social and commercial entrepreneurs. Using a sample of 85 prospective entrepreneurs, results show that prospective social entrepreneurs differ from prospective commercial entrepreneurs in the personality dimensions of personal distress, nAch, ESE, and risk‐taking propensity.     

The need for services and technologies in physical fast fashion stores: Generation Y’s opinion

ABSTRACT

This study answers the question of in which services and technologies should fast fashion retailers with physical stores invest. Fifteen improvement options were identified through a literature review, corporate practice and expert interviews. Then, a sample of 255 members of Generation Y evaluated and classified these options as attractive, indifferent, must-be, one-dimensional, or reverse according to Kano’s approach using the segmented Kano perspective. Results show that Generation Y generally values service improvements (e.g. with respect to salesperson friendliness and competence) higher than technology improvements. However, this evaluation differs among customer segments: whereas quality-conscious fast fashion shoppers are mainly indifferent to technology improvements, other customer segments rate ‘3D Bodyscan’, ‘Barcode App’, ‘Click&Collect’, ‘iDressroom’, ‘iTerminal’, ‘Loc Aware App’, or ‘Self-Checkout’ as highly attractive.