The process of supply network internationalisation

This paper explores the process that dynamically links the why's, how's and what's of supply network internationalisation. We propose a conceptual framework that adapts and extends the Uppsala internationalisation model and apply it to analyse nine case studies of Italian footwear and apparel companies involved in relocating some segments of their supply networks to Romania. Consistently with behavioural theories, our findings confirm that internationalisation is an incremental process in which firms gradually increase their international exposure and involvement. However, differently from the Uppsala establishment chain internationalisation model, our cross-case analysis suggests a different typology of supply network internationalisation processes: (1) traditional subcontracting, (2) co-ordinated subcontracting, and (3) supply system relocation. We discuss the theoretical and managerial implications of these findings and suggest directions for further research.     

A mathematical approach to study and forecast racial groups interactions: deterministic modeling and scenario method

Globalization and migratory fluxes are increasing the ethnic and racial diversity within many countries. Therefore, describing social dynamics requires models that are apt to capture multi-groups interactions. Building on the assumption of a relationship between multi-racial dynamics and socioeconomic status (SES), we introduce an aggregate, contextual, and continuous index of SES accounting for measures of income, employment, expected life, and group numerosity. After, taking into account that groups’ SES assumes the form of a logit model, we propose a Lotka–Volterra system to study and forecast the interaction among racial groups. Last, we apply our methodology to describe the racial dynamics in the US society. In particular, we study the kind and the intensity of Asians–Blacks–Natives–Whites interactions in the US between 2002 and 2013. Moreover, we forecast the evolution of groups’ SES and how interracial relations will unfold between 2013 and 2018 and in three alternative stylized scenarios.

     

Why Do We Buy Traditional Foods?

Consumer behavior toward traditional specialties varies according to the cultural context of consumption. It thus becomes crucial to develop marketing strategies that target segments with different levels of familiarity with food. Our article purposes to analyze the purchase drivers of traditional foods known to consumers because of their reiterated consumption. The importance of the product’s attributes, the purchasing motivations, and the information channels are studied by applying the CUB model, which utilizes a probabilistic structure that simulates the individual’s psychological mechanism in adopting a choice of preference. The case study is that of extra-virgin olive oil in Italy, where this product is a fundamental element of the culinary tradition. The results show that in the ambit of traditional specialties, in contexts of elevated familiarity, the traditional information channels of marketing are less effective and call for strategies based on a more direct connection between consumer and producer.     

Government Spending Composition in an Endogenous Growth Model with Congestion

We build an endogenous growth model in which government expenditure is divided into public consumption and investment in public capital, and where both components suffer from some degree of congestion. We demonstrate that the socially optimal growth rate is negatively related to the degree of congestion. As regards the optimal share of government spending on infrastructure, we prove that an increase in congestion leads to a decrease in this share and that the optimal share of government spending on output can increase or decrease with congestion. In addition, we compare the social planner optimum with the second‐best outcome and show that, in this second case, welfare is lower. In this framework, we derive a necessary condition, which must hold in the second‐best equilibrium, involving the income tax rate and the share of government spending on public investment.     

Und Aktion! – Konzeptualisierung der Rolle individuellen Akteurshandelns in sozio-technischen Transitionen am Beispiel der regionalen Energiewende im bayerischen Allgäu

The German “Energiewende” is one of the most ambitious societal transition projects in recent times. It causes fundamental political and economic changes in the energy system in Germany and the whole of Europe. These great societal and technological changes of the current energy regime are of particular interest for research on sustainability transitions. In this research strand, however, the role of individual agency for socio-technical transitions is hardly considered. What drives actors who decisively pushed the regional energy transition? Which strategies and types of action do they choose to foster the transition? How do individual strategies and actions depend on the socio-technical system environment and how does the socio-technical system environment react to the individual actions? To analyse these questions, we apply the Human-Environment Systems (HES) Framework (Scholz, 2011) for the first time to socio-technical systems. Based on an exemplary analysis of the regional energy transition in the Allgäu region in Germany, we propose an adaptation of the HES Framework for socio-technical systems. Finally, we reflect on how the adapted HES framework for socio-technical systems can contribute to a better understanding of individual agency in systemic transitions.     

A simple impossibility result in behavioral contract theory

This paper studies a contract between an optimistic agent and a realistic principal, both risk-neutral. Even with complete contracts and ex-ante symmetric information, it may be impossible to achieve the first-best unless the weight on emotions is sufficiently low.     

Subsampling Inference with K Populations and a Non‐standard Behrens–Fisher Problem

We revisit the methodology and historical development of subsampling, and then explore in detail its use in hypothesis testing, an area which has received surprisingly modest attention. In particular, the general set‐up of a possibly high‐dimensional parameter with data from K populations is explored. The role of centring the subsampling distribution is highlighted, and it is shown that hypothesis testing with a data‐centred subsampling distribution is more powerful. In addition we demonstrate subsampling’s ability to handle a non‐standard Behrens–Fisher problem, i.e., a comparison of the means of two or more populations which may possess not only different and possibly infinite variances, but may also possess different distributions. However, our formulation is general, permitting even functional data and/or statistics. Finally, we provide theory for K ‐ sample U ‐ statistics that helps establish the asymptotic validity of subsampling confidence intervals and tests in this very general setting.