Managing supply chain resilience to pursue business and environmental strategies

Resilience has become a crucial topic in the field of strategic management as it requires companies to design resilient business models to tackle managerial and environmental disruptions of individual firms and supply chains. However, extant research still lacks deep insights into how companies design and manage supply chains according to the resilience principles. With this premise, this paper aims at conducting a state of the art review on supply chain resilience (SCR) considering 125 relevant papers collected from Scopus and Web of Science academic search engine. Starting from the results of the literature review, this study proposes a systemic framework of SCR assessment and contributes to improve the understanding of the impact of different empirically tested constructs on the development of the resilience concept. Further, the findings are summarized in several areas including barriers in developing resilience, metrics to measure the resilience performance, and effective strategies to foster the SCR. Finally, this study outlines promising future research directions for scholars and practitioners.     

The role of industry variety in the creation of innovative start-ups in Italy

Small Business Economics - This paper aims to ascertain whether related and unrelated industry variety affects the creation of innovative as opposed to other start-ups in Italian local labor market...     

Investment opportunities and R&D investments in family and nonfamily firms

The firm’s investment opportunity set (IOS) reflects the prospective growth opportunities related to physical and human capital investments. IOSs are largely firm specific, embedded in assets-in-place, or generated by experience curves, learning-by-doing, and other similar phenomena. However, the value of an IOS can be destroyed if a firm does not exercise the option to invest. In this study, we theorize that a firm’s ability to invest in R&D is conditional on the availability of a favorable IOS. We test our theoretical propositions in the European business environment using a sample of large publicly traded firms with concentrated ownership. Our findings support the notion that the IOS is a significant determinant of corporate R&D investments, but the magnitude of this effect depends on the identity of the ultimate owner. Specifically, the sensitivity of R&D investments of family- and state-owned corporations is higher to favorable IOS than that of widely held corporations, suggesting these firms are more responsive to favorable IOS than others. By introducing the IOS dimension, our results have interesting implications for both theory and practice.     

WHAT HAPPENED TO THE WILLINGNESS OF COMPANIES TO INVEST AFTER THE FINANCIAL CRISIS? EVIDENCE FROM LATIN AMERICAN COUNTRIES

In this article we investigate the changes in corporate investment dynamics in the aftermath of the global financial crisis. Using firm-level data from six Latin American countries from 2002 to 2015, we show that firms are less constrained and have greater ability to invest after the crisis. However, the willingness of firms to invest optimally is reduced. This is supported by strong evidence that during the postcrisis period investment–cash flow sensitivity disappears, investment-q sensitivity increases, and the estimated speeds of adjustment for target investment decrease. Moreover, after the crisis, firms notably increase their efforts to attain optimal cash and leverage levels. Our analysis implies that firms may not always be willing to invest optimally. The willingness to invest optimally appears to be time variant and moves together with the dynamics of cash and leverage policies, albeit in opposite directions.     

A model to evaluate transient industry effects

In this paper we present a model to evaluate transient industry effects, that is, the impact of business cycles on the industry. While the importance of the economic cycle for industry and firm performance is widely recognized, we do not know much about how much the business cycle influences industry activity. The aim of this paper is to present a method that helps to understand the relationship between the business cycle and an industry's level of activity. Copyright © 2008 John Wiley & Sons, Ltd.     

Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data

This paper provides new empirical evidence on delinking and Environmental Kuznets Curves (EKC) for greenhouse gases and other air pollutant emissions in Italy. A panel dataset based on the Italian NAMEA (National Accounts Matrix including Environmental Accounts) for 1990–2001 is analysed. The highly disaggregated dataset (29 production branches, 12 years and nine air emissions) provides a large heterogeneity and can help to overcome the shortcomings of the usual approach to EKC based on cross-country data. Both value added and capital stock per employee are used as alternative drivers for analysing sectoral NAMEA emissions. Trade openness at the same sectoral level is also introduced among the covariates. We find mixed evidence supporting the EKC hypothesis. The analysis of NAMEA-based data shows that some of the pollutants such as two greenhouse gases (CO₂ and CH₄) and CO, produce inverted U-shaped curves with coherent within-range turning points. Other pollutants (SO_X, NO_X, PM₁₀) show a monotonic or even N-shaped relationship. Macro sectoral disaggregated analysis highlights that the aggregated outcome should hide some heterogeneity across different groups of production branches (industry, manufacturing only and services). Services tend to present an inverted N-shape in most cases. Manufacturing industry shows a mix of inverted U and N-shapes, depending on the emission considered. The same is true for industry (all industries, not only manufacturing): although a turning point has been experienced, N-shapes may lead to increased emissions with respect to very high levels of the economic driver. In general, EKC evidence is more pronounced for greenhouse gases. The results suggest that analysis at macro sector (whole industry, manufacturing only and services) can be the most promising approach to future research on EKC.     

The Role of Bank and Corporate Balance Sheets on Early Warning Systems of Currency Crises—An Empirical Study

This study analyzes the role of bank and corporate balance sheets on early warning systems (EWS) of currency crises. Using firm-level data on debt structure, leverage, liquidity, and profitability, this study presents estimations of EWS for a panel of emerging markets. Using calibration experiments, we assess the performance of alternative EWS specifications in a comprehensive range of crisis-probability cut-offs?. These models supplement EWS based on traditional macroeconomic indicators, improving forecasting performance substantially. The results support the third-generation models of currency crises and can assist policymakers on the design of surveillance strategies tailored for heterogeneous levels of risk tolerance and country specificities.     

Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach

Focusing on credit risk modelling, this paper introduces a novel approach for ensemble modelling based on a normative linear pooling. Models are first classified as dominant and competitive, and the pooling is run using the competitive models only. Numerical experiments based on parametric (logit, Bayesian model averaging) and nonparametric (classification tree, random forest, bagging, boosting) model comparison shows that the proposed ensemble performs better than alternative approaches, in particular when different modelling cultures are mixed together (logit and classification tree). Copyright © 2016 John Wiley & Sons, Ltd.     

Planned Flexibility: Linking Anticipation and Reaction in Product Development Projects

The early phases of a product development project (i.e., concept generation and product planning) are commonly acknowledged to play a central role in the success of product innovation. Early decisions are unlikely to be changed during downstream phases, unless high costs and time are experienced. They have therefore the highest influence on project performance. However, early analysis and problem solving is also a difficult task, because the necessary information and insights are not available until one gets into detailed design. Most companies are locked in this dilemma between anticipation (i.e., anticipating decisions in the early phases of product development, where influence on performance is substantial) and reaction (i.e., delaying decisions to downstream phases, where information and opportunities are manifest). This article investigates early development practices in 18 Italian and Swedish companies, operating in the vehicle, helicopter, and white-goods industries. It shows that neither anticipation nor reaction may be considered a best practice in absolute terms. Rather, it identifies four possible approaches to manage the early phases (detailed, selective, comprehensive, and postponed), where anticipation and reaction have different balances. In addition, the article shows how anticipation and reaction are not contradictory or mutually exclusive, but strongly interact with each other through a mechanism that we call planned flexibility, i.e., the capability to build flexibility into the development process due to decisions taken early in the project.