Foresight and innovation in the context of industrial clusters: The case of some Italian districts

The “territory” is widely recognized in the literature on business strategy as a critical driver of industrial competitiveness (see, as an example, Porter, The Competitive Advantage of Nations). The generation and exploitation of new knowledge, both tacit and explicit, through the process of socialization, articulation, combination and internalization (see Nonaka and Takeuchi, The Knowledge-Creating Company) is essential to enable innovation of processes and products of “local” firms.Our recent Foresight exercises in the metal working and machinery district of Lecco and in the silk district of Como show that Foresight can play an important role in creating and exploiting new knowledge, and that different methodologies can be more or less effective to this aim.Critical technology list and interactive workshops, with the participation of entrepreneurs of SMEs and technologists, are more suited to foster the transfer of technologies that have overcome the initial stage of the life cycle and that have been already applied in other sectors. However, when radical innovations are needed in order to face the challenges posed by global competition, other methodologies, as Scenarios, are more appropriate. Even if these approaches are complex and time and resource consuming, they may be very effective in actively involving the most relevant private and public stakeholders of a district, and in making them to envisage the long term future of the economic, social, and cultural structure of their district. In this way Foresight drives the small entrepreneurs, the district stakeholders and the medium and large size firms to play the critical roles of Nonaka and Takeuchi's “frontline employees”, “senior managers” and “middle managers” in their “knowledge creating company”: the first ones grasp what the district is; the second ones build the vision of what it ought to be; the third ones, serve as a bridge between the future and the present.     

Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.     

Foreign ownership and the credibility of national rating agencies: Evidence from Korea

By analyzing bond price reactions to rating changes in Korea, this study adds a new angle to the existing literature on Global Rating Agencies (GRAs, i.e. Moody’s, S&P’s, Fitch) with higher reputation/independence vs. National Rating Agencies (NRAs) with more in-depth local knowledge. Faced with substantial regulatory burdens, GRAs have chosen to operate indirectly in the Korean domestic market by acquiring local NRAs. In our event study, cumulative abnormal returns following downgrades by a wholly domestically owned NRA tend to dominate those from downgrades by two affiliates of GRAs. This casts doubt on the additional information value of reputation capital acquired through GRA ownership as perceived by emerging markets.     

Biotechnology as a Technological Paradigm in the Global Knowledge Structure

The aim of this study is to analyse whether the receipt of public R&D funding determines firm's R&D strategy selection. This issue is crucial, as previous studies have shown that each R&D strategy is associated to a higher, or lower, innovation performance. We consider three R&D strategies – make, buy, make–buy – and three different sources of public funding – regional, state and other (such as EU). The model estimation is performed through a multinomial logit model with random effects with a sample of 457 large firms for the period 1992–2005, taken from the Spanish Survey of Business Strategies. The main finding is that the source of the funding influences whether firms select the make, buy or make–buy strategy. Additionally, because of the panel structure of the sample, we observe that the effect of public funding on the R&D strategy selection lasts longer for state and regional funds than for other funds.     

Identification of monetary policy in SVAR models: a data-oriented perspective

In the literature using short-run timing restrictions to identify monetary policy shocks in vector-auto-regressions (VAR) there is a debate on whether (i) contemporaneous real activity and prices or (ii) only data typically observed with high frequency should be assumed to be in the information set of the central bank when the interest rate decision is taken. This paper applies graphical modeling theory, a data-based tool, in a small-scale VAR of the US economy to shed light on this issue. Results corroborate the second type of assumption.     

Towards a Macroprudential Framework for Financial Supervision and Regulation?

Over the last decade or so, addressing financial instabilityhas risen to the top of the policy agenda. This essay arguesthat in order to improve the safeguards against financial instability,it may be desirable to strengthen further the macroprudentialorientation of current prudential frameworks, a process thatis already under way. The essay defines, compares and contraststhe macro- and microprudential dimensions that inevitably coexistin financial regulatory and supervisory arrangements, examinesthe nature of financial instability against this backgroundand draws conclusions about the broad outline of desirable policyefforts.(JEL G2) "Words, like nature, half reveal and half conceal the soul within" Alfred Lord Tennyson "When I use a word... it just means what I choose it to mean– neither more, nor less" Humpty Dumpty     

The power of dimensional analysis in production systems design

Dimensional Analysis (DA) is a well-known methodology in physics, chemistry and other traditional engineering areas. In its simplest form, DA is used to check the meaningfulness of a set of equations (dimensional homogeneity). In the last century, the dimensional theory has been profoundly investigated: its highest achievement is the Buckingham theorem (or pi-theorem), which states that any equation modelling a physical problem can be rearranged in terms of dimensionless ratios, thus saving variables to be handled, and especially enriching the inner physical knowledge of the studied phenomenon.In this paper we investigate how DA can be applied to Operations Management (OM) topics and which benefits it can bring to researchers in this area. A literature review is performed to clarify the main operative issues regarding DA application (assumptions and limitations); then existing applications of DA to OM are explored, pointing out that few researchers have tried to apply this methodology in the OM research field.Stemming from this analysis, we applied the pi-theorem to the design of a Flexible Manufacturing System. A complex problem, requiring 13 dimensional quantities to be expressed, is first studied via simulation; then DA is applied, reducing the number of variables to 9 dimensionless ratios. The reduced problem has a suitable size to be analytically explored and a regression model is formulated which, compared with the simulation study, offers the same precision in analysing the FMS behaviour, being more compact and powerful. This application shows the potential of DA in OM research, and will hopefully draw the attention of researches to this powerful, but unfamiliar and therefore neglected, methodology.     

An agent-based model of innovation diffusion: network structure and coexistence under different information regimes

The paper analyzes how the structure of social networks affects innovation diffusion and competition under different information regimes. Diffusion is modeled as the result of idiosyncratic adoption thresholds, local network effects and information diffusion (broadcasting and demonstration effect from previous adopters). A high social cohesion decreases the probability of one innovation cornering the market. Nonetheless, with imperfect information, in small-world networks the higher speed of diffusion produced by the low average distance increases this probability. A low social cohesion also increases the probability of falling into traps of under-adoption. However, such probability is significantly lower with imperfect information, because such regime is characterized by higher levels of market concentrations and this reduces the frictions due to the coexistence of non-compatible product innovations.