Made in the World? Global Value Chains in the Midst of Rising Protectionism

Review of Industrial Organization - In the last decade, the concept of ‘global value chain’ (GVC) has become popular to describe the way firms fragment production into different stages...     

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

This paper considers the Web as a big data container that can be used by Technology Observatories and administrations to track emerging issues and more specifically emerging technologies. It considers information that is available on the Internet for free from different sources, and proposes a framework that can be useful to characterise them and to detect patterns of dissemination. This framework is made up of 30 metrics obtained from different kinds of sources (general web, patents, scholars?…). Some of them are obtained directly as the number of hits retrieved by queries on a search engine, and other ones calculated by means of ratios. This paper contains the development of a complete case that utilises this framework to characterise emerging technologies included in the well-known Hype Cycle for Emerging Technologies, in this case the 2015 release¹ and to analyze patterns of dissemination of these technologies on the Internet.     

A new perspective on the exporter productivity premium: online trade

We use a unique firm-level data set including 9000 companies from 26 European Union countries covering four different sectors to take a close look at the relationship between online exports and productivity. The online exporter productivity premium is estimated using different techniques (ordinary least squares, quantile regressions and robust estimation). Results consistently indicate that the estimated online exporter productivity premium is statistically different from zero, positive and significant from an economic point of view. European online exporters, according to these results, are approximately 2% more productive than non-online exporters. Productivity differences between firms could be related to variables that are not included in the empirical model. More research would be needed to address this issue in the future.     

Scanning for discounts: examining the redemption of competing mobile coupons

Coupons research has typically focused on single-coupon redemption, with scant attention devoted to multiple, competing coupons. To bridge this gap, we observe supermarket shoppers who used their smartphones to scan products in-store, receiving both coupons for the scanned product and several others as a result. We model the determinants of redemption in this context, particularly net price range (NPR), coupon value, brand loyalty, and number of coupons. Latent class analysis uncovers two consumer segments: brand-focused shoppers (79.9%), who use internal reference prices, and deal-prone shoppers (20.1%), who use stimulus-based reference prices. Targeting by means of segment membership, NPR, and loyalty is indispensable: the same $0.50 coupon can have a redemption probability as low as 30% and as large as 80%, depending on these characteristics. Overall, the study sheds light on drivers of redemption under competition and provides managers with a blueprint to improve redemption rates by targeting shoppers with customized coupons.     

Is Supply's Actual Contribution to Sustainable Development Strategic and Operational?

This paper addresses the issue of how sustainable supply practices are actually used as a leverage for sustainable development (SD). In order to assess the level of sustainable supply management within an organization, the authors have reviewed the literature extensively and then developed a five‐step maturity model around five management dimensions. A qualitative exploratory approach based on two detailed case studies of organizations whose reputation for SD is recognized internationally has been used. This methodology allowed us to show (1) how sustainable supply practices could be used as a leverage for an organization's sustainable development approach and (2) that sustainable supply practices still have quite a distance to go with regards to the maturity model for sustainable supply, even in organizations that are often mentioned as leaders in the SD area. In these organizations, managers still emphasize environmental considerations, while neglecting practices that would make it possible to reach the three SD objectives simultaneously. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Decision support for firm performance by real options analytics

This paper develops a real options decision support tool for raising the performance of the firm. It shows how entrepreneurs can use our intuitive tool quickly to assess the nature and type of action required for improved performance. This exploits our estimated econometric relationship between precipitators of entrepreneurial opportunities, time until exercise, and firm performance. Our 3D chromaticity plots show how staging investments, investment time, and firm performance support entrepreneurial decisions to embed, or to expedite, investments. Speedy entrepreneurial action is securely supported with this tool, without expertise in econometric estimation or in formulae for real options valuation.     

Modelling spatial regimes in farms technologies

We exploit the information derived from geographical coordinates to endogenously identify spatial regimes in technologies that are the result of a variety of complex, dynamic interactions among site-specific environmental variables and farmer decision making about technology, which are often not observed at the farm level. Controlling for unobserved heterogeneity is a fundamental challenge in empirical research, as failing to do so can produce model misspecification and preclude causal inference. In this article, we adopt a two-step procedure to deal with unobserved spatial heterogeneity, while accounting for spatial dependence in a cross-sectional setting. The first step of the procedure takes explicitly unobserved spatial heterogeneity into account to endogenously identify subsets of farms that follow a similar local production econometric model, i.e. spatial production regimes. The second step consists in the specification of a spatial autoregressive model with autoregressive disturbances and spatial regimes. The method is applied to two regional samples of olive growing farms in Italy. The main finding is that the identification of spatial regimes can help drawing a more detailed picture of the production environment and provide more accurate information to guide extension services and policy makers.     

Perceptions of Agriculture and Food Corporate Social Responsibility

An online survey of 1,201 U.S. residents was conducted in April 2015 to better understand individuals’ perceptions of prominent areas of corporate social responsibility (CSR) in the food supply chain. Demographic and household consumption information, including supermarket patronage, was collected. Each respondent completed best–worst tasks for CSR areas designed to elicit their relative importance of CSR areas. Overall, health and safety were perceived as the most important CSR area, and environment was prioritized second. Indicating gender as female and/or reporting age over 65 was positively correlated with the relative importance placed on health and safety, but negatively correlated with the size of preference share for nearly all other CSR areas investigated. Membership in the younger age categories was positively correlated with the size of the preference shares devoted to procurement, labor, fair trade, and biotechnology.