Money secrets: How does trade secret legal protection affect firm market value? Evidence from the uniform trade secret act

Research summary : We investigate the impact of trade secret legal protection on firm market value in the context of acquisitions. On one hand, market value may increase because trade secret assets become better protected from rivals. On the other hand, market value may decrease because trade secret protection reduces information about the target and its competitors available to potential buyers, increasing uncertainty about its value. Buyers will discount their offers in expectation of being compensated for riskier deals. Using a sample of private equity investments in the United States, we find that trade secret protection has a positive effect in industries with high mobility of knowledge workers, but a negative effect in industries with (1) high resource–value uncertainty and (2) high poor‐investment risk. Managerial summary : We argue that an increase in trade secret legal protection might not unequivocally benefit firm owners when selling their business. A stronger trade secret protection increases the market value of firms in industries with high workers' mobility, but it decreases the market value of firms in industries with uncertain resource value and/or high risk of poor‐acquisition investments. Based on the contingent effect of trade secret protection, companies may want to adjust their strategic decisions, including where to locate or relocate, based in part on whether they will derive benefits or suffer losses when trade secrets are better protected. Finally, our study should help policymakers understand more fully the economic impact of government policies associated with trade secrets. Copyright © 2016 John Wiley & Sons, Ltd.     

Optimal monetary policy in a New Keynesian model with habits in consumption

In this paper we consider the implications of habits for optimal monetary policy, when those habits either exist at the level of the aggregate basket of consumption goods (‘superficial’ habits) or at the level of individual goods (‘deep’ habits: see Ravn et al., 2006). External habits generate an additional distortion in the economy and create new trade-offs for optimal policy, as the policy maker does not respond as aggressively to technology shocks in order to avoid exacerbating the habits externality. This can dramatically affect both the parameterization of optimal simple rules, as well as their determinacy properties. These effects are particularly strong when habits are of the deep kind.     

Marketing mix and customer equity of SPA brands:Cross-cultural perspectives

Globalization has substantially transformed the fashion industry. Firms that conduct innovative marketing campaigns for SPA brands, also known as fast fashion, are operating worldwide. Because SPA brands tend to have short trend cycles, corporate profitability is sensitive to consumers' attitudinal changes. The authors of this study establish a theoretical framework by examining research trends related to customer equity at home and abroad by delving into the current state of global SPA brands, defining customer equity, developing customer equity measurements, and conducting empirical analyses. This study uses structural equation models to analyze corporate marketing activity effects on customer lifetime value through brand attitude. Although earlier studies identify customer equity as driving value equity, brand equity, and relationship equity, the authors introduce social network equity as another driver.     

The economic returns to schooling for Italian men. An evaluation based on instrumental variables

We study the relationship between (log) hourly earnings and schooling for male household heads in Italy, using cross-sectional data from the 1993 and 1995 waves of the Bank of Italy (BI) survey on the income and wealth of Italian households. In line with international evidence, we find that OLS under-estimate the return to schooling. When the endogeneity of schooling is taken into account, the return to an additional year in school increases from 4.8% to 5.6%. This estimate is lower than the estimates tabulated by Card [Card, D., 1994. Earnings, Schooling and Ability Revisited. NBER Working Paper no. 4832.] for the United States. We also find evidence that this return increases with higher levels of educational attainment.     

Scenarios of the organic food market in Europe

Scenario analysis is a qualitative tool for strategic policy analysis that enables researchers and policymakers to support decision making, and a systemic analysis of the main determinants of a business or sector. In this study, a scenario analysis is developed regarding the future development of the market of organic food products in Europe. The scenario follows a participatory approach, exploiting potential interactions among the relevant driving forces, as selected by experts. Network analysis is used to identify the roles of driving forces in the different scenarios, and the results are discussed in comparison with the main findings from existing scenarios on the future development of the organic sector.     

Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume,Variety, and Veracity on Firm Performance*

Despite significant academic and managerial interest in big data, there is a dearth of research on how big data impacts the long‐term firm performance. Reasons for this gap include a lack of objective indices to measure big data availability and its impact, and the tendency of studies to ignore the costs associated with collecting and analyzing big data, assuming that big data automatically delivers benefits to firms. Focusing on how firms create and capture value from big data about customers, we use the resource‐based view and three dimensions of big data (i.e., volume, variety, and veracity) to understand when the benefits outweigh the costs. Relying on the number of downloads of mobile device applications, we find that volume of big data has a negative effect on firm performance. This result suggests that the “bigness” of big data alone does not ensure value creation for a firm, and could even constitute a “dark side” of big data. Because big data variety—measured as the number of types of information taken per each application—moderates the negative effects of big data volume, simultaneous high values of volume and variety allow firms to create value that positively affects their performance. In addition, high levels of veracity (i.e., a high percentage of employees devoted to big data analysis), are linked to firms benefiting from big data via value capture. These findings shed light on the circumstances in which big data can be beneficial for firms, contributing to a better theoretical understanding of the opportunities and challenges and providing useful indications to managers.     

Distributional Effects of Price Reforms in the Italian Utility Markets*

In this paper, we analyse some distributional effects of the reforms to water and energy services in Italy. We first document the new regulation setting in these services, illustrating the dynamics of utility prices and of household expenditure in the period 1998‐2005. We then propose a way to measure the affordability of public utilities, in order to investigate how many households would incur a potentially excessive burden if they consumed a minimum quantity of utility services. Finally, we calculate this index on data from the Survey on Family Budgets (Indagine sui consumi delle famiglie). Our results show how the affordability of utility bills varies from region to region depending on climate, income, family endowment and family size. The analysis ‐ also based on a counterfactual exercise ‐ finds that so far, utility reforms do not seem to have produced any negative effects on weaker households.     

Defining and measuring the development of a country over time: a proposal of a new index

This paper introduces the concept of harmonic growth as an extended acceptation of the notion of development, and discusses its measurement via the Harmonic Growth Index (HGI). The growth is seen as harmonic when the behaviour of a benchmark time series, which here is a measure of wealth, such as per capita GDP, is followed by a similar pattern in socio-economic series. Unlike most widely used indicators in the literature, which take into account the measurement of development over a single time, HGI measures the degree to which a social indicator’s time series pattern matches with the GDP’s. The index is a function, ranging in [0, 1], of the coefficients of the uniform B-splines fitted to each time series, according to the functional data framework. A case study on Mediterranean welfare countries (Greece, Italy, Portugal, and Spain), in the period 1996–2007, shows critical differences in the selected indicators which can be ascribed to their dissimilar specific development models. HGI can be also considered as a general index to measure the similarity between time patterns, or as an alternative to correlation for (non-necessarily linear) time series.