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The purpose of this paper is to do an empirical analysis assessing whether banks highly involved into trading activities show specific business model choices. Key factors in the analysis are a proper measure for trading activities and a consistent classification of banks in terms of business choices.

We investigate three measures for trading activities proposed by regulators in the context of bank structural reform in Europe. Through robust statistics we identify the key trading players and classify banks into a limited number of business model clusters, relying on a set of balance sheet and income statement indicators.

Using a sample of 100 European banks in 2007-2012, results show that the measures identify similar, but not identical, sets of banks highly involved into trading. The measure proposed by the European Commission selects fewer banks and is more consistent over time. The business model analysis identifies six rather stable clusters, from small-medium retail-focused banks to very large investment groups. The measures coherently identify as key trading players the largest investment groups and select very few retailed focused banks. Differences among measures arise for very large retail-diversified and medium/large wholesale banks.

These results could feed the debate on which measures for trading regulators could consider depending on the target of the reform they would implement. For instance we show that the measure proposed by the European Commission selects less well capitalized retail-diversified banks compared to the others.

The purpose of this paper is to critically evaluate the different market‐making systems found in most developed capital markets and to provide guidance to emerging market regulators for a possible implementation of such a system.

The paper looks closely at the market design of seven developed countries focusing on the obligations and privileges of market makers. Through a case study and empirical evidence the paper identifies advantage and disadvantage of a possible implementation of a similar design to an emerging market.

The paper identifies three forms of market making applied today: the quote‐driven, the centralized and non‐centralized systems. Four factors are proposed that regulatory authorities in emerging markets should consider when deciding whether, and which of, the three market‐making systems they should implement. These are: current exchange design and the costs of restructuring, international and domestic investors' sentiment towards the exchange, size of the emerging market and the market designs in countries hosting the target foreign capital.

The paper looks at the implementation of a market‐making system in an emerging market. Further research may investigate other ways of how emerging markets authorities can restructure their markets into more efficient, compatible and trustworthy financial venues in order to attract both domestic and foreign investors.

The area of emerging markets' microstructure design and market quality is still relatively under‐studied. We provide evidence of the challenges and benefits of the implementation of a market‐making system in those markets.

This paper aims to investigate which network relationships foster the early development of a sustainable new venture (SNV) and how sustainability as the core characteristic of the new venture shapes those network relationships.

This paper relies on a qualitative approach. The primary data source is 25 interviews with 18 key informants of 15 Italian SNVs. The fashion industry is the empirical setting due to its negative environmental and social impacts and shifts toward sustainability during the past decade.

The paper identifies six types of network relationships that affect the development of fashion SNVs. It proposes sustainability-enhanced and sustainability-enabled network relationships and relates them to trust and legitimation in the network.

The study enriches the theoretical debate on networks, new ventures and sustainability by dealing with the case of SNVs in a traditional sector. This paper presents managerial implications for entrepreneurs and policymakers.

This paper contributes to the debate on society’s sustainable development by emphasizing how networks can affect the growth of SNVs.

This paper fills a research gap in a novel manner. The paper contributes to the recent debate on new ventures and sustainability from the market as network approach. It identifies relevant networks, their contribution and the role of sustainability. The study refers to SNVs in traditional nontechnological industries.

This paper aims to integrate the consumption perspective within the Industrial Marketing and Purchasing (IMP) debate. The study delves into how consumer communities can be conceived like other network business actors. The perspective of sustainable new ventures (SNVs) in the fashion industry is adopted, considering their specific connection with consumer communities.

Adopting a multiple case study methodology, this paper uses a qualitative approach. Data collection mainly relies on interviews conducted with 10 SNVs in the fashion industry; this sector is a fertile ground for studying sustainability and consumer communities. For data analysis, the abductive approach of systematic combining is applied.

The paper identifies four distinct types of consumer communities and four roles that they can assume as business actors in the business network. Owing to their engagement in these specific roles, consumer communities become part of the SNVs’ network, akin to other business-to-business players.

This study represents one of the initial endeavors to introduce consumption into the IMP theoretical framework. In this paper’s conceptualization, consumer communities are groups of consumers and collective actors in the business network. Additionally, this study advances the research on sustainability as a network concept by including consumer communities’ roles in business networks.

This study aims to investigate the relationship between the family generational stage and the intended use of the Initial Public Offering (IPO) proceeds disclosed in the prospectus. With the aim to explore family business (FB) heterogeneity, it also explores the moderating role of the family CEO.

We draw on signalling theory and hand-collected data on Italian family IPOs that occurred in the period 2000–2020, disentangling the intended use of IPO proceeds as distinguished into three categories. We employ logit regression to test our hypotheses.

According to our theoretical predictions, we find that the family generational stage positively affects the disclosure of the investment reason as the intended use of IPO proceeds, while it negatively influences the use for recapitalization and general corporate purposes. The first relationship is moderated by the presence of a family CEO. Our results remain robust with different FBs definitions and a different empirical method.

To the best of the authors’ knowledge, this paper is the first to address the topic of the intended use of IPO proceeds in FBs. In doing so, it opens avenues for future research by enriching an underdeveloped, albeit growing, area of research, that of preparing for the market scrutiny in family IPOs.

The success of a firm is usually characterized by a constant re-thinking of its strategic model. Considerable entrepreneurial tension is involved in achieving competitive excellence, and the achievement of a right balance between the different elements that form a corporate strategy (e.g. economic perspective and social acceptability) (Coda, 1988).

The purpose of this paper is to present the architectural principles and the services of the D-NET software toolkit. D-NET is a framework where designers and developers find the tools for constructing and operating aggregative infrastructures (systems for aggregating data sources with heterogeneous data models and technologies) in a cost-effective way. Designers and developers can select from a variety of D-NET data management services, can configure them to handle data according to given data models, and can construct autonomic workflows to obtain personalized aggregative infrastructures.

The paper provides a definition of aggregative infrastructures, sketching architecture, and components, as inspired by real-case examples. It then describes the limits of current solutions, which find their lacks in the realization and maintenance costs of such complex software. Finally, it proposes D-NET as an optimal solution for designers and developers willing to realize aggregative infrastructures. The D-NET architecture and services are presented, drawing a parallel with the ones of aggregative infrastructures. Finally, real-cases of D-NET are presented, to show-case the statement above.

The D-NET software toolkit is a general-purpose service-oriented framework where designers can construct customized, robust, scalable, autonomic aggregative infrastructures in a cost-effective way. D-NET is today adopted by several EC projects, national consortia and communities to create customized infrastructures under diverse application domains, and other organizations are enquiring for or are experimenting its adoption. Its customizability and extendibility make D-NET a suitable candidate for creating aggregative infrastructures mediating between different scientific domains and therefore supporting multi-disciplinary research.

D-NET is the first general-purpose framework of this kind. Other solutions are available in the literature but focus on specific use-cases and therefore suffer from the limited re-use in different contexts. Due to its maturity, D-NET can also be used by third-party organizations, not necessarily involved in the software design and maintenance.

The purpose of this paper is to present and empirically test for the first time the hypothesis that herding in a market increases following the market's merger in an exchange group.

The hypothesis is tested empirically in EURONEXT's four European equity markets (Belgium, France, the Netherlands and Portugal) on the premise of the Hwang and Salmon (2004) measure which allows us insight into the significance, structure and evolution of market herding. Tests are conducted for each market for the period prior to and after its merger into EURONEXT, controlling for a series of variables (market conditions, common risk factors, size) to gauge the robustness of the findings.

Results indicate that, with the exception of Portugal, herding grows in significance, yet declines in momentum post-merger. The authors ascribe the findings to EURONEXT's enhanced transparency (which makes it easier for investors to observe their peers’ trades, thus allowing them to infer and free-ride on their information) and its fast-moving informational dynamics that render herding movements shorter-lived. These results are robust when controlling for various market states and common risk factors, with deviations being observed when controlling for size and market volatility.

The study presents results for the first time on the impact of exchange mergers on herd behavior. The authors believe these to constitute useful stimulus for further research on the issue and bear important implications for regulators/policymakers in view of the ongoing proliferation of exchange mergers that has been underway since the 1990s.

The purpose of this paper is to investigate whether a statistically significant relationship exists between environmental quality, as measured by consumption-related air pollution, and public debt in Europe. In addition, since the debt burden is one of the most important indicators of fiscal soundness within the European Union (EU) Treaty and the subsequent fiscal compact, the authors propose a simple test to determine whether participation in EU Treaties has shaped the empirical relationship between fiscal policy/public debt and environmental performance.

To this end, the authors built a panel data set that covers 24 European countries over the period 1996–2015.

The aspect that the authors want to underline is a possible trade off, which is confirmed in the empirical analysis, between the public finance equilibrium and the maintenance of a public good such as air quality. However, there are important non-linearities that shape the interaction between public debt and environmental pollution. Similarly, threshold effects arise when the authors examine the interaction between EU regulation and public debt and when the authors separately examine high debt and low debt countries. When the authors account for the stabilization rules introduced by EU Treaties, a negative effect on pollution is evident; in this way, fiscal consolidation limits the positive effect of fiscal policy.

The results point out the existence of a potential trade-off between the role of EU as a regulator aiming to mitigate environmental pollution, and its role within the Stability and Growth Pact. The analysis highlights that fiscal consolidation policies, while facilitating the achievement of macroeconomic stability within EU, might have a negative side effect on the environment quality, which spreads beyond the borders of one single country.

While a number of studies have suggested that fiscal spending might contribute to the level of pollution in European countries, there is scant evidence of the effect of public debt on environmental performance. This lack of scientific knowledge is a serious shortcoming, since it may allow for an underrepresentation of the wide-ranging consequences of stabilization programmes targeting the debt-to-GDP ratio, which could affect environmental quality.