The influence of entrepreneurs’ immigrant status and time on the perceived likelihood of exporting

We contribute in this paper to the scant literature on the factors and conditions influencing the development of different perceptions of potential international opportunities for immigrant and native entrepreneurs in the pre-internationalization phase. Specifically, we investigate what factors influence the perceived likelihood entrepreneurs have of exporting. Building on entrepreneurial intentions and opportunity-based entrepreneurial processes, we propose a cognitive account of perceived likelihood of exporting based on entrepreneurs’ perceptions of the desirability and feasibility of export opportunities. We investigate how the immigrant status (i.e., individual characteristics) and time (i.e., contextual factors) influence the relationship between the desirability and feasibility of exporting, and entrepreneurs’ perceived likelihood of exporting. We employ an experimental design on a matched-pair sample of 108 native and immigrant entrepreneurs in domestic technology-based firms. The results are a unique account of the cognitive antecedents of the perceived likelihood of exporting under different temporal conditions, comparing immigrant and native entrepreneurs. We discuss theoretical and practical implications.

     

Structural VAR and financial networks: A minimum distance approach to spatial modeling

In this paper, I interpret a time series spatial model (T-SAR) as a constrained structural vector autoregressive (SVAR) model. Based on these restrictions, I propose a minimum distance approach to estimate the (row-standardized) network matrix and the overall network influence parameter of the T-SAR from the SVAR estimates. I also develop a Wald-type test to assess the distance between these two models. To implement the methodology, I discuss machine learning methods as one possible identification strategy of SVAR models. Finally, I illustrate the methodology through an application to volatility spillovers across major stock markets using daily realized volatility data for 2004–2018.     

Capturing the real value of patent analysis for R&D strategies

Patent information can be used for strategic planning purposes. Conventional patent analysis has commonly focused on factual information and, in particular, on information extraction, visualisation and interpretation. Less scholarly attention has been devoted to the strategic role of an integrated system of patent intelligence in supporting decision-making in R&D investments. Our paper addresses this gap and explores how patent analysis may benefit those firms that intend capturing the beneficial effects of Open Innovation. We also critically discuss the intrinsic limits of both patent information and patent analysis, which should be taken into account by systems of patent intelligence.     

Rethinking the import-productivity nexus for Italian manufacturing

We provide evidence on the firm level productivity effects of imports of intermediates. By exploiting a large panel of Italian manufacturing firms, we are able to separately explore the role of importing from high and low income countries. Importing does not permanently affect the firm productivity growth. This finding holds both when we test for the import entry by means of Propensity Score Matching techniques and when we analyse the import intensity within a dynamic panel data model framework. On the contrary, we confirm the existence of self-selection into importing. Also, our evidence supports the learning-by-exporting effects in Italian manufacturing and we prove that this result is robust to the control of firm import activity.     

Romanians,Hungarians and their wages,in transition,in Romania

Legally binding treaties or memorandums have been used over time to regulate the issue of national borders of many European countries. As a result, relatively large groups of people have become ethnic minorities in other countries. They may conserve their ethnic identities, and therefore their children may accumulate ethnic human capital (e.g., language, culture, and religion) in addition to the general human capital of the country. Therefore, they can get access to an appropriate occupation linked by tradition or other factors to their ethnic group. This paper uses estimates from a selection model with an endogenous switch among three broad types of occupational groups to analyze the composition of the wage gap between Romanians and ethnic Hungarians in Romania before and during the transition from a planned to a market economy. The results suggest that the institutional settings of the controlled economy allowed Romanians to work in occupations that gave them the best returns, while the changes during the transition years allowed ethnic Hungarians to work in occupations that gave them the best returns.     

Learning from Japan: The European Central Bank and the European Sovereign Debt Crisis

What shapes central banks’ learning from the policy experiments of their peers? Both economic ideas and organizational interests play important roles. Thus, New Keynesian ideas led central banks to interpret Japan's experience with quantitative easing (2001–2006) through the impact on risk spreads, although the Japanese central bank never intended such effects. In turn, scholars and policy-makers alike ignored one critical lesson: successful policy innovations depend on banks’ funding models. It is argued here that this was a crucial omission because the shift to market-based funding impairs the effectiveness of the traditional crisis toolkit. Central banks must intervene directly in asset markets of systemic importance for funding conditions, as the Bank of Japan did by buying government bonds. Hence, market-based finance engenders a trade-off between financial stability and institutional stability defined through central bank independence. During critical periods, central banks cannot preserve both. The ECB illustrates this trade-off well. Early in the crisis, it outsourced financial stability to a (largely) market-dependent banking system to protect its independence. With the introduction of Outright Monetary Transactions in September 2012, the Bank recognized that the market-based nature of European banking required outright purchases of sovereign bonds. This new instrument gave the ECB additional powers to shape national fiscal decisions in the name of an independence that no longer has theoretical justifications.     

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.     

The impact of network configurations on value constellations in business markets — The case of an innovation network

A growing body of scholars are advocating a better understanding of how value is created in business networks, rather than merely in business relationships or at the level of single actors. Among such networks, innovation networks, i.e. the configurations of strategic entrepreneurial nets aimed at improving the effectiveness of innovation performance, have come under scrutiny in the business marketing literature. However, research that explicitly connects value considerations with innovation network configurations is still in its infancy, with empirical evidence being notably scarce. This study is aimed at identifying if and how network configurations affect value constellation aspects in business networks, in terms of value recipients and value outcomes. We interviewed key informants representing 46 high-technology entrepreneurial firms co-located in an innovation network (Daresbury Science and Technology Park — UK). Our study identifies that different network configurations can co-exist in the same overall network; these, nevertheless, are not alternative independent structures, but rather they interact with each other through actors spanning their boundaries. Our study thus provides an understanding of network configurations relating to specific value consequences, but also provides evidence relating to the interactions between different configurations. By doing this, we establish a bridge between a business marketing and a strategy perspective on value in networks. Important managerial implications and implications for policy makers also emerge from our study.     

Perceptions of Change in Business Relationships and Networks

Our research deals with the role of actors in change in business relationships and networks. In this study, we explore how cognitive elaboration of experience of a relationship affects the relationship development. The link between behaviors and cognitive elaborations has been the object of recent research in marketing, but little attention has been given to the issue of cognition and behaviors when actors interact in business relationships. Given the role of relationships and their dynamics for the development of business networks, we believe that the issue deserves more attention. Also, compared to the interest in the space dimension of business networks, i.e., network pictures, perceptions of time have been under-investigated. We report findings from 84 bilateral interviews with managers involved as customers or suppliers in 21 relationships with ICT Security at two points in time. We collected their interpretations and reinterpretations of past developments, outcomes, and desired outcomes of the relationships in which they were involved. Our data suggest that the link between managers' cognitive elaborations and relationship dynamics is less direct than commonly assumed. We argue that evolution of a relationship cannot be explained by individual interpretations of the parties involved in the relationship; a preliminary finding is that actors' intentions appear more to shape the interpretations, rather than the contrary.