Exploring the Relationships Between Product Development and Environmental Turbulence: The Case of Mobile TLC Services*

Managing innovation in turbulent environments (e.g., in environments with extreme uncertainty and complexity in market needs and technological opportunities) is a major challenge. A recent stream of studies in the management literature has suggested that when facing turbulent environments, firms should deploy more flexible development processes. This paper approaches this issue by looking at the Italian mobile telecommunications (TLC) industry. Nine in‐depth case studies were conducted in five different companies. Data analysis showed some important results. First of all environmental turbulence should be considered to be project specific rather than company or industry specific. Moreover, it can come from both shift in the market needs and in the technology. Nevertheless, it seems clear that having rapid changes is not enough to have environmental turbulence. If rapid changes can be somehow foreseen, there is no turbulence at all. Hence, when approaching projects in potentially turbulent environments, managers should assess both rapidity and unpredictability of the environment. Finally, looking at the in‐depth cases, the paper points out what of the main practices to increase flexibility that are described in literature are actually adopted by companies. In case of turbulence (both in the market and/or in the technology) companies delay concept freezing point. Moreover, in the case of technological turbulence, they also leverage on rapid project iterations, whereas in case of market turbulence they more likely adopt early experiments involving customers, formal and cross‐functional project teams, and flat organizational structures.     

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.     

Multinationals and plant exit: Evidence from Chile

This paper investigates three main questions: are affiliates of foreign multinationals more likely to exit than domestic firms? Does the exit probability of multinationals depend on its export orientation?, and Does the presence of multinationals affect the survival of other firms in the economy? Our results show that foreign plants are more likely to exit the economy, controlling for other firm and industry characteristics, only during the late 1990s, a period when the Chilean economy experience a massive slowdown. Our data also suggest that only domestic market oriented multinationals responded to this negative shock by being more “footloose”. We also find that the presence of multinationals has a positive effect on plant survival in the early 1990s. This positive effect, however, is fully captured by productivity, once controlling for TFP in our exit regressions we do not find any further impact of multinational presence on a plant's probability of exit.     

Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards

This paper examines the relationship between Schumpeterian patterns of innovation and the generation of breakthrough inventions. Our data source for breakthrough inventions is the “R&D 100 awards” competition organized each year by the magazine Research & Development. Since 1963, this magazine has been awarding this prize to 100 most technologically significant new products available for sale or licensing in the year preceding the judgment. We use USPTO patent data to measure the relevant dimensions of the technological regime prevailing in each sector and, on this basis, we provide a characterization of each sector in terms of the Schumpeter Mark I/Schumpeter Mark II archetypes. Our main finding is that breakthrough inventions are more likely to emerge in ‘turbulent’ Schumpeter Mark I type of contexts.     

Multidimensional configurations of the organizational climate construct

This study describes the creation and validation of a multidimensional model which assesses the level of employee satisfaction based on international theoretical models. It utilizes data collected from a sample of 518 public and private company employees during the year 2009 in the city/state of São Paulo, Brazil. In the first stage of the study, 15 independent dimensions were theoretically obtained. In the second stage, five different multiple dimensions were confirmed using structure equation modeling (SEM) technique, thus characterizing general configurations of the organizational climate construct denominated motivation, management philosophy, leadership, people management and nature of work. It is hoped that the model can contribute by enhancing managerial best practices of an organization by attending a major demand for those listed on stock markets, since these companies must periodically provide information on job satisfaction of their employees to maintain or achieve higher levels of corporate governance.     

The Board of Directors and The Adoption of Quality Management Tools

Abstract

The article examines the role of the board of directors in Local Public Utilities (LPUs). It aims at verifying empirically if a correlation exists between specific characteristics of the board of directors and the adoption of innovative arrangements addressing emerging needs of users and citizens (i.e. quality). By means of applying multivariate statistical methods to a random sample of sixty Italian LPUs, this study finds the relational capital of the boards affecting the take up of quality-oriented actions by LPUs. These results support the resource-dependence theory, neglected by mainstream literature.     

Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency

This paper considers the estimation of Kumbhakar et al. (J Prod Anal. doi:10.1007/s11123-012-0303-1, 2012) (KLH) four random components stochastic frontier (SF) model using MLE techniques. We derive the log-likelihood function of the model using results from the closed-skew normal distribution. Our Monte Carlo analysis shows that MLE is more efficient and less biased than the multi-step KLH estimator. Moreover, we obtain closed-form expressions for the posterior expected values of the random effects, used to estimate short-run and long-run (in)efficiency as well as random-firm effects. The model is general enough to nest most of the currently used panel SF models; hence, its appropriateness can be tested. This is exemplified by analyzing empirical results from three different applications.     

Bargaining, coalitions and competition

We study a Gale-like matching model in a large exchange economy, in which trade takes place through non-cooperative bargaining in coalitions of finite size. Under essentially the same conditions of core equivalence, we show that the strategic equilibrium outcomes of our model coincide with the Walrasian allocations of the economy. Our method of proof makes use of the theory of the core. With respect to previous work, our positive implementation result applies to a substantially larger class of economies: the model relaxes differentiability and convexity of preferences, and also admits an arbitrary number of divisible and indivisible goods.     

Correcting for the endogeneity of pro-environment behavioral choices in contingent valuation

In contingent valuation studies, observed behavioral choices often enter as independent variables in the willingness to pay function. However, these variables may be endogenously determined when the error term in the behavioral model is correlated with the error term in the willingness to pay model. We investigate the effects of correcting for the endogeneity of a variable, namely membership status in environmental organizations that proxies unobservable characteristics of the respondents. Jointly modeling the membership variable and the willingness to pay response yields an estimate for the effect of the former that contradicts previous findings but is intuitive and agrees with theoretical expectations.     

Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods

Benefit transfer is a method for estimating the value of environmental goods that involves the use of past information on identical or similar goods. This paper considers the extent to which benefit transfer can be based on prior distributions elicited from expert opinion. We propose two alternative methods to elicit the parameters of a prior distribution from experts on environmental valuation. An experiment is carried out on the value of National Parks in Spain. The results from the elicited distributions are compared with the information provided by onsite samples of visitors. The results indicate that individual experts made different predictions about the potential value of the policy areas that were diverse and unable to accurately predict the value for each policy site. However, the average across the elicited distributions approaches the estimated distribution with empirical data and accurately predicts the relative values for the two policy sites considered.