A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments

The reproducibility crisis, that is, the fact that many scientific results are difficult to replicate, pointing to their unreliability or falsehood, is a hot topic in the recent scientific literature, and statistical methodologies, testing procedures and p‐values, in particular, are at the centre of the debate. Assessment of the extent of the problem–the reproducibility rate or the false discovery rate–and the role of contributing factors are still an open problem. Replication experiments, that is, systematic replications of existing results, may offer relevant information on these issues. We propose a statistical model to deal with such information, in particular to estimate the reproducibility rate and the effect of some study characteristics on its reliability. We analyse data from a recent replication experiment in psychology finding a reproducibility rate broadly coherent with other assessments from the same experiment. Our results also confirm the expected role of some contributing factor (unexpectedness of the result and room for bias) while they suggest that the similarity between original study and the replica is not so relevant, thus mitigating some criticism directed to replication experiments.     

Making Information on CSR Scores Salient: A Randomized Field Experiment

We locate a giant ‘school report‐like’ scorecard poster with domain‐specific social and environmental responsibility scores of the ten leading world food companies, measured by the Oxfam ‘Behind the Brands’ world campaign, at the entrance of selected supermarkets. We test the impact of these scores on consumers’ choices by means of a randomized field experiment. Our findings show that the Oxfam ranking matters since the treatment has a positive and significant effect on the market share of the companies with the highest scores and a negative and significant effect on the companies placed at the lowest ranks. Invisibility matters too, with the largest non‐ranked companies selling in the store experiencing a slight fall in their market shares.     

A triple‐win scenario for horizontal collaboration in logistics: Determining enabling and key success factors

Horizontal collaborations emerged as a new strategic option in the logistics sector during the last decade. However, successful implementation of horizontal collaborations is far from a developed issue due to several barriers that exist or emerge when setting up such collaborative projects. This study aims at identifying the enabling factors supporting successful implementation of horizontal collaborations in the logistics sector, and in identifying key success factors that logistics service providers (LSPs) should consider. Results from a within‐ and cross‐case analysis of two horizontal collaboration projects in the contract logistics sector support the proposed theoretical framework, highlighting both enabling and key success factors of horizontal collaborations. The former refers to factors that are related to LSPs, customers, and industries, whereas the latter results in a triple‐win scenario characterised by LSP competences, trust, and environmental management orientation of successful horizontal collaboration projects.     

Banking and the role of money in the business cycle

This paper enriches a standard New Keynesian model with a simple banking sector to investigate the role of money in the business cycle. Maximum likelihood estimation of the model suggests that money balances play a significant role in explaining the intertemporal allocation of consumption and the dynamics of inflation as described by the forward-looking IS and Phillips curves. Nonetheless, the responses of the model’s variables to shocks remain qualitatively similar to a model without money, suggesting that the omission of money balances leaves the model’s transmission mechanism unaffected.     

The generalized bin packing problem

In the Generalized Bin Packing Problem (GBPP), given two sets of compulsory and non-compulsory items characterized by volume and profit and a set of bins with given volume and cost, we want to select the subset of profitable non-compulsory items to be loaded together with the compulsory ones into the appropriate bins in order to minimize the total net cost. Lower and upper bounds to the GBPP are given. The results of extensive computational experiments show that the proposed procedures are efficient and the bounds are tight.     

Firm age and performance

Amid increasing interest in firm age and its effects on firm performance, this special issue offers an exhaustive review of the literature and a novel collection of evidence on the effects of firm age on performance, including a special focus of interest on innovation performance, financial performance, exports, survival and growth. This editorial positions the theme in the extant literature, and provides key definitions and challenges ahead in the field of evolutionary economics. It introduces the collection of articles composing the special issue. The papers offer a diversity of country contexts, as well as analytical approaches and methods. They include an exhaustive review of the literature on age and firms’ performance, and present original empirical studies focusing on the effects of age on firms’ economic outcomes on the one hand, and on innovation outcomes on the other hand. While most of the papers use econometric analysis, the level of analysis ranges from firm to individual.     

Evolutions and Contradictions in Mainstream Macroeconomics: The Case of Olivier Blanchard

This article traces the complex intellectual path of Olivier Blanchard, a personification of the controversial evolution of macroeconomic research over the last three decades. After contributing to consolidation of the core of mainstream macroeconomics, Blanchard recently suggested ‘rethinking’ some of its key aspects to take stock of the lessons of the 2008 Great Recession, which he witnessed as the International Monetary Fund’s Chief Economist. This welcome discussion, which according to Blanchard should open mainstream macroeconomics to heterodox thinking, has so far produced a certainly interesting albeit theoretically contradictory synthesis and limited policy consequences. The most paradigmatic aspect of this rethinking of macroeconomics is represented by the abandonment in teaching of aggregate supply and demand in favor of a revival of the IS–LM model complemented by the Phillips curve. While this change of perspective does allow for the instability of ‘natural’ equilibrium to be emphasized, a deeper reading may prove incompatible with the neoclassical foundations of the mainstream approach.     

The collective voice of unions and workplace training in Italy: New insights from mixed methods

Using a three-phase approach that combines quantitative (pooled OLS, fixed effects and IV) with qualitative (semi-structured interviews) analyses, we find that in Italy, workplace unions are more likely to enhance training when they sign a firm-level agreement and when they can get access to external funds for financing. We also identify three channels: what we call a ‘maturation effect’, double-track communication and watch-dog function. We argue that these results are consistent with the idea that the impact of workplace unions on training depends on the empowerment of its collective voice within an institutional framework that does not fit either of the standard models provided by collective and liberal market economies.     

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.     

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.