How to implement innovation policies through projects successfully

This paper investigates the types of policy instruments responsible for the success of policy implementation through projects. Based on evidence from 12 comparative multiple case-studies, the paper provides an analytical insight from real practice on how and why different types of instruments lead to either successful or unsuccessful projects. In particular, the key finding is that in order for projects to implement policy successfully, policy instruments have to be designed based on specific systems thinking constructs related to flexibility. The findings provide the crucial but missing holistic conceptual direction for the development of implementation theory, which needs to overcome conceptual fragmentation and polarization. The findings also provide the insight as to how instruments really function which is essential to policy makers and project managers involved in public innovation programs.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Sell‐Side Analyst Bias When Investment Banks Have Privileged Access to the Board

Research on analyst bias typically identifies affiliation with reference to a subset of the mandates that could give rise to incentives for bias in a multifunction investment bank. This paper develops a new measure of affiliation based upon the UK practice of corporate broking. An advantage of this approach is that affiliation is no longer restricted to isolated equity issuance events as it is an ongoing activity. This research shows that prior US evidence regarding the “Global Settlement” is robust to this new measure and application in the United Kingdom rather than solely the United States. The paper uses a hazard rate methodology focusing on the timeliness of revisions to address selection bias concerns.     

Entry,trade costs,and international business cycles

Are firm entry and fixed exporting costs relevant for understanding the international transmission of business cycles? We revisit this question using a model that includes entry, selection to exporting activity, physical capital accumulation and endogenous labor supply. We determine that once the stochastic process for exogenous productivity is calibrated to consider the endogenous dynamics in TFP created by the number of firms and the time series volatility of entry is calibrated to the data, our model yields minimal departures from the Backus et al. (1992) benchmark. The richer model shares all of the successes of the previous model in terms of the volatilities of aggregate quantities, as well as its failures, in terms of replicating patterns of international co-movement and the volatility of international relative prices.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

The business model in entrepreneurial marketing: A communication perspective on business angels' opportunity interpretation

Entrepreneurial marketing has emerged as a recent perspective within the marketing field, taking the challenges and characteristics of small firms and founding teams into account. Specifically, in the early stages of entrepreneurial marketing, besides potential customers a variety of other stakeholders tend to be in the center of attention. Among these stakeholders, business angels as early-stage investors represent a vital target group. In this paper, we aim to shed light on entrepreneurial marketing in the early phases of new venture creation, in which entrepreneurial firms have an inherent need to market the value of a business opportunity toward potential investors. In particular, we contribute to the literature by introducing the business model as a narrative device for the marketing of early-stage new ventures toward potential business angels. In this regard, the business model is suggested as playing a critical role through making the inherent economic value of a technology explicit. Building on narrative theory, we investigate the role that the business model plays in the decision-making process of 17 business angels. Based on our findings, we propose a model that links the business model to a business angel's interpretation of an investment opportunity and discuss implications for theory and practice.     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

The Total Factor Productivity Gap between Internationalised and Domestic Firms: Net Premium or Heterogeneity Effect?

The empirical literature on international trade predicts that internationally involved firms experience a productivity premium when compared to domestic firms. This finding is supported by comparing the unconditional productivity averages or distributions, or regressing the productivity on the international status dummy, controlled for the relevant covariates. In the present paper, we disentangle the distribution of the gross productivity premium from the component that is created by the different structural compositions of the two groups of firms; we can thereby measure the distribution of the net premium that is attributable to internationalisation. To this purpose, we use the quantile decomposition methodology ( Melly, 2005 ). The main results highlight that (i) the net premium is substantially lower than the gross premium and (ii) while the difference in the gross premium is uniform along the entire distribution, the net premium is significant only for the less productive firms. These results are confirmed even if different internationalisation modes are considered (i.e. exports, agreements and commercial penetration) using the domestic firms as baseline. One exception is the net premium for firms enrolled in foreign direct investment and/or offshoring; this premium does not decrease for firms at the top of the productivity distribution.     

Mexico's private toll road program reconsidered

Mexico's private toll road program of 1989–1994 is famous both as one of the first and the most ambitious highway privatization programs among the developing countries and as one of the most dramatic failures. In just five years Mexico awarded 52 concessions totaling over 5300 km of toll roads, but as early as 1993 many of the concessions had to be renegotiated and in 1997 the government was forced to takeover 23 of them at an immediate financial cost of billions of dollars. This paper reconsiders the Mexican program and, with the benefit of hindsight, argues that it does not deserve its bad reputation. Although Mexico made some important mistakes in the design of the concessions, many of the highways turned out to be socially worthwhile investments. Moreover, the restructuring of the concessions in 1993–1997 converted many of them into financially profitable projects over the long-term, while the 1997 bailout ended up costing the government little in budget terms.