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The authors provide a novel interpretation of the relationship between skill demand and labour market concentration based on the training rationale.

The authors use a novel data set on Italian online job vacancies during 2013–2018 to analyse the relationship between labour market concentration and employers' skill demand. The authors construct measures of market concentration and skill intensity in the local labour market. The authors regress the measures of skill demand on market concentration, controlling for sector, occupations and other features of the labour market. The authors also use the Hausman–Nevo instrument for market concentration.

The authors show that employers in a highly concentrated labour market demand competencies associated with the ability of workers to learn faster (e.g. social skills) rather than actual knowledge. They also require less experience but higher education. These results are consistent with the hypothesis that employers in more concentrated labour markets are more prone to train their employees. Instead of looking for workers who already have job-specific skills, they look for workers who can acquire them faster and efficiently. The authors provide a theoretical framework within which to analyse these aspects as well as providing a test for the relevant hypotheses.

In addition to cross-countries differences in labour market regulations, the authors' findings suggest that policy authorities should consider the local labour market structure when studying workforce development programmes aimed at bridging the skill gap of displaced workers. Moreover, the authors show that market concentration can have relevant implications for human resource (HR) managers by affecting their recruitment behaviour through the demand for skills. In fact, concentrated markets tend to favour firms' collusion and anti-competitive behaviour that could strongly affect HR management practices.

The authors' paper innovates on the literature in a number of ways. First, the authors provide evidence of local labour market concentration in Italy. Second, the authors provide evidence of skill demand at the local level using a detailed skill taxonomy that goes beyond the classical distinction between high and low skills. Third, and most importantly, the authors provide evidence of the relationship between skill demand and labour market concentration. By analysing detailed skills and competencies, the authors take one step beyond understanding the features of labour demand in monopsonistic markets.

The purpose of this paper is to investigate the effects of training activity on labor productivity in a panel of Italian firms.

The use of a large panel data of individual firms allows the author to properly account for the possible endogeneity of training activity and avoid aggregation biases typical in industry-level data.

The paper finds that training has a positive and significant impact on productivity. While unobserved heterogeneity leads to overestimate the impact of training, failing to account for the endogeneity of training leads to underestimate its effects on productivity. Within occupational groups, training has large and significant effects for blue-collar workers, while the effects for executives and clerks are relatively small. Finally, using a measure of effective training intensity the paper finds that failing to account for training duration may lead to underestimate the effect of training on productivity.

Our data set is unique in terms of size and coverage and overcomes several limitations of previous research using firm-level data. Moreover, besides estimating the overall effect of training on productivity, the paper allows to address some more specific questions. Does the effect of training depend on the type of worker being trained? What is the relevance of effective participation to training activity?

Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation.

A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context.

The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection.

Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria.

Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality.

The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

In this chapter we investigate the role of family-specific factors in facilitating or constraining business exit in family firms. Family business literature seems to have an implicit bias toward continuity and persistence in the founder's business. This is explained by heavy emotional involvement and development of path-dependent core competences over generations. However, several long-lived family firms were able to successfully exit the founder's business. Exit allowed them to free significant strategic resources, which were later reinvested in exploiting novel entrepreneurial opportunities. Our aim is to investigate the process of exit from the founder's business in family firms, to explain both triggers and obstacles to decommitment and de-escalation. We address this issue through the study of the Italian Falck Group's exit from the steel industry in the 1990s, followed by successful startup of a renewable energy business. By carefully triangulating different data sources and different voices within and outside the controlling family, we develop a framework describing family-specific facilitators and inhibitors of business exit, and subsequent startup of a new business. Three types of family-specific factors emerge as relevant in shaping a family firm's likelihood and speed of exit from a failing business: family-related psychological triggers and obstacles to business exit; family-specific components of the structural de-escalation context; family responses to ensuing de-escalation and exit needs. The emerging framework offers a more nuanced interpretation of decommitment activities in family firms, pointing to the differential role family-specific factors may play as facilitators or inhibitors of business exit. We also suggest how these family-specific results may contribute to a deeper understanding of exit in nonfamily firms. Our results also have practical implications for family business entrepreneurial management. Actively managing the different determinants of exit choices that emerged from our study will set the stage for de-escalation from a failing course of action – a dynamic capability all family firms should learn and practice if they intend to transfer their entrepreneurial orientation to next generations.

Upper echelons theory (UET) stands that cognitive bases of the CEO influence the field of vision and interpretation of the environment and affect its decisions about the firm. The main objective of the paper is to see if there are different CEO profiles, which can be associated with different strategic management choices.

Using a representative sample of 1,236 small firms in high- and medium-high-technology, both in industrial and service sectors, the authors identify five CEO typologies through cluster analysis. The classification is based on CEO's personal characteristics such as education, tenure in the company or entrepreneurial experience. Multivariate analysis is carried out to establish the possible association between belonging to these clusters and some strategic decisions such as orientation towards innovation, efficiency or internationalisation. The unit of analysis is the firm focusing on the CEO.

The authors conclude that it is possible to classify the CEOs of these companies into five well-differentiated groups, with specific profiles. We find a significant association between belonging to a CEO profile and strategic choices taken in the firm. Managers who have been CEOs in several companies and have some entrepreneurial experience frequently guide the company towards innovation and internationalisation. CEOs with a lot of experience but limited to a single company often look for process efficiency.

Furthermore, it is observed that the belonging of these clusters is not evenly distributed in the group of companies analysed. Instead, depending on size and family / no family issues, the authors find a different presence of the CEO typologies.

The work provides relevant information in the field of small-, high- and medium-high-technology companies in relation to the profile of the CEO.

La teoría de los estratos superiores (UET) sostiene que la base cognitiva del CEO influye en el campo de visión y la interpretación del entorno y afecta sus decisiones sobre la empresa. El objetivo principal del documento es ver si existen diferentes perfiles de CEO, que pueden asociarse con diferentes opciones de gestión estratégica.

Utilizando una muestra representativa de 1,236 pequeñas empresas de alta y media–alta tecnología tanto en el sector industrial como en el de servicios, identificamos cinco tipologías de CEO a través de análisis Cluster. La clasificación se hace en base a características personales del CEO tales como Formación, antigüedad en la empresa o experiencia emprendedora. Se llevan a cabo análisis multivariante para establecer la posible asociación entre la pertenencia a uno de esos clusters y algunas decisiones estratégicas como la orientación a la innovación, la eficiencia o la internacionalización. La unidad de análisis es la empresa focalizándonos en el CEO.

Encontramos que es posible clasificar a los CEOs de estas empresas en cinco grupos bien diferenciados, con perfiles específicos. Encontramos una asociación significativa entre la pertenencia a un perfil de CEO y las decisiones estratégicas tomadas en la firma. Los directivos que han sido CEO en varias empresas y tienen alguna experiencia emprendedora orientan con frecuencia la compañía hacia la innovación y la internacionalización. Los CEOS con mucha experiencia, pero limitada a una única empresa, buscan a menudo la eficiencia en los procesos.

Además, se observa que la pertenencia a esos clusters no se distribuye de manera uniforme en el colectivo de empresas analizado, sino que, dependiendo de si la empresa es industrial o de servicios, de su tamaño o si es o no familiar, encontramos distinta presencia de las tipologías de CEO.

El trabajo aporta una información relevante en el ámbito de las empresas pequeñas de alta y media alta tecnología en relación con las características del CEO.

This study aims to examine the disclosure determinants of environmental performance indicators (EPIs) for a sample of US firms to understand if these disclosures are reliable or whether they are biased towards the reporting of positive information.

The study uses a panel data analysis to examine the association between firms’ EPIs disclosures and their environmental performances, and other economic and legitimacy factors.

The results show that firms’ disclosures are not associated with the level of environmental performance and that firms continue to provide EPI information even if they witness a decline in their environmental performance. The evidence suggests that firms’ environmental disclosures are reliable and indicative of their environmental performance.

The findings suggest that mandating EPI disclosures may increase the level of the information reported and reduce firms’ discretion over the disclosure of such information.

Reporting of EPIs is directly linked to firms’ environmental performances. By examining the association between EPI disclosures and environmental performance, the study contributes to the ongoing debate about firms’ reporting and whether it is informative to its stakeholders or whether firms use this type of information to legitimize their operations and portray it in a positive light.

In recent years, economic, environmental and social sustainability has become one of the fastest-growing research fields. The number of primary and secondary papers addressing the triple bottom line is growing significantly, and the supply chain (SC) management discipline is in the same wave. Therefore, this paper aims to propose a novel tertiary systematic methodology to explore, aggregate, categorise and analyse the findings provided by secondary studies.

A novel tertiary systematic literature review approach, including 94 secondary studies, is proposed and used to analyse sustainable SC literature. The papers have been analysed using a research protocol, including descriptive and content analysis criteria.

This tertiary study does not only provide an overview of the literature on the topic of sustainability in SCs but also goes further, drawing up a categorisation of main research areas and research perspectives adopted by previous researchers. The paper also presents a rank of research gaps and an updated and a prioritised agenda.

This paper provides a novel interpretation of the research topics addressed by the secondary studies and presents a new classification of the literature gaps and their evolution. Finally, a dynamic research compass for both academicians and practitioners is presented.

This paper analyzes the importance given by venture capital (VC) firms to the different characteristics of the patent portfolio of a young innovative company (YIC). In an attempt to go beyond previous studies, the authors argue that not only is the size of a technological portfolio significant but also its nature. It is also examined whether the correlation between patents and VC financing varies across different industrial sectors and over different rounds of VC investments.

The empirical analysis has focused on a sample of 1,096 European YICs between the years 2010 and 2014. Target companies were identified in the monthly bulletins of Go4Venture, which reported the largest European deals and gathered information on the amount of VC financing. Additional data was derived from FinSMEs and crunchbase. Industrial sectors were differentiated according to their ability to appropriate the returns of innovation by relying on patent protection mechanisms. A multivariate regression framework at the patent family level was adopted to investigate empirical associations between the amount of VC financing and the characteristics of a YIC's patent portfolio.

The results confirm the positive value of patents. Both the size and the characteristics of a YIC patent portfolio have been found to be positively associated with the total amount of VC financing. Additionally, the correlation between a YIC patent portfolio and VC investment varies across industries and over rounds of funding. Although the number of patents is positively correlated with VC investments in sectors with strong Intellectual Property (IP) regimes, the same does not apply to sectors characterized by lower patent intensity, where qualitative metrics seem to have a stronger correlation. Significant differences have also been found for the different rounds of VC investments.

The limitations of this paper are related to data availability. Empirical associations have been investigated, but causal effects cannot be ascertained in this framework. The authors focused on a sample of firms that received VC funding. Several transactions were excluded, due to a lack of specifications pertaining to the round series. Furthermore, a number of potential drivers of the financed amounts, such as variables related to the founder or the management team, have not been considered in this study.

For firms operating in sectors with weak IP regimes, patents are positively associated with attracting equity capital, if they are the output of R&D collaborations and have higher technical merit. In industries where patent intensity is higher, patent portfolio size matters more than quality. This suggests that VC investors award innovation quality to cases in which patenting is less frequent. Since the results indicate that positive associations between patenting and VC financing are more significant in later stages, managers should plan their patenting strategy in advance to reap the related benefits, and then collect the premium at later VC stages.

In this paper, the importance given by VC firms to different characteristics of a YIC patent portfolio has been analyzed in terms of size, quality, and complexity. While previous empirical analyses mainly focused on a single sector, the authors have examined whether the relevance of patents for VC financing decisions varies across industries and over different rounds of investment. The geographical coverage of the sample is another novelty of the paper. Previous works focused on a limited number of countries, whereas this research has considered firms operating in several European countries.

Entrepreneurship Education (EE) is increasing throughout the world. In 2012, the Italian Ministry of Education, University and Research (MIUR) financed Contamination Labs (CLabs), which are laboratories that are aimed at developing entrepreneurial mindsets in all university students. This study analyses the entrepreneurial learning process mechanisms adopted in these CLabs.

An ethnographic case study was performed in two Italian CLabs from October 2017 to December 2019.

Findings demonstrate that the CLabs in Italy are promising Entrepreneurship Education Centres which create programmes to develop an entrepreneurial mindset in students with different educational backgrounds and levels. Interdisciplinarity in the composition of the student teams, virtuous contamination of knowledge and experience between the students and the stakeholders from the entrepreneurial ecosystem are the key pillars to foster an entrepreneurial mindset in all the students.

The limitations of this work regard the need to expand the analysis to all the other CLabs created in Italian universities.

The findings provide indications that may be used to guide a university faculty in the design and management of Entrepreneurship Education Centres in collaboration with entrepreneurs, corporations, student clubs, incubators and representatives of the local entrepreneurial ecosystem. Moreover, the results point out a need to develop interdisciplinary entrepreneurial programmes.

The originality resides in the analysis of a novel type of Entrepreneurship Education Centre in Italian Universities created as the result of an ad-hoc Italian policy.

This is a selective annotated bibliography of the literature on Christopher Columbus from 1970 to 1989. The subject is particularly relevant considering the approach of the Quincentenary of the “discovery” of America in 1992. For that same reason, there has been an outpouring of literature on the subject since 1990, a significant subset of which contributes to are interpretation of Columbus the man, his voyages, and their impact on the new world. It is hoped that this more recent literature will be part of a subsequent annotated bibliography.