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This paper aims to investigate the effects of quality management practices (QMPs) on innovation in higher education (HE), and how organizational innovation (OI) may influence technical innovation.

The hypotheses were tested with partial least squares structural equation modeling on a sample of 449 valid responses by faculty members in Naples (Italy) public universities.

The findings support the interdependent relationships between QMPs and their positive impact on innovation. It was found that some QMPs impact on innovation through people and process management, and that OI predicts the technical one.

Directors should recognize the differences between QMPs to implement effective quality management (QM) strategy. Furthermore, they should combine technical and OIs.

Despite the existence of several studies on QM and innovation in manufacturing and services, there are only a few in HE. Based on a multi-dimensional QM approach, this paper investigates the different effects each QMP has on both the other QMPs and innovation in HE.

This study aims to explore the impact of controversial firms’ corporate sustainability assessments on their risk exposure according to the environmental, social and governance (ESG) paradigm.

This study conducts a cross-sectional study using the ordinary least squares approach to test how corporate social responsibility practices affect firms’ risk exposure, testing the three single impacts of ESG components and the impact of an overall ESG assessment. This study considers the largest Standard & Poor’s (S&P) 500 stock market index companies and focus on a double-risk measurement – systematic and idiosyncratic – developing an empirical study on 132 controversial companies listed on the S&P index.

Empirical findings indicate that the overall ESG assessment and the environmental and social sub-dimensions decrease idiosyncratic firm risk. At the same time, no significant results are found according to the systematic risk component.

This study fits into the domain of risk management research, investigating whether additional and non-financial disclosures regarding sustainability issues decrease information asymmetries, improving investors’ decision-making and stakeholders’ relations. Prior literature has shown limited evidence on the relationship between corporate social performance (CSP) and firm risk based on controversial companies. The main contribution is to consider the controversy as an independent factor from the industry sector, given that the implications of CSP actions and practices are mainly firm-specific.

Recently, socially and responsible investments (SRI) have constantly grown becoming a highly discussed issue. Therefore, the main purpose of this paper is to better understand if environmental social governance (ESG) criteria integration in investment strategies can support the transition of finance toward a more sustainable growth.

An explorative analysis based on a multiple case study has been conducted and addressed by a content analysis on the Key Investors Information Documents (KIIDs) that the sample companies published for 2020.

The achieved results demonstrated that the case companies differently integrated ESG into their SRI; thus, if some of them are quite near to a full integration, the others demonstrated less than a full commitment with ESG. This seems to be mainly due to the different approach that asset management companies (AMCs) and/or managers have adopted for integrating ESG criteria.

Even though the achieved results offered some interesting insights for asset managers, the explorative and qualitative nature of this study and the small sample investigated somewhat limits it.

AMCs, consultants and managers in developing and implementing their SRI strategy could be much more focused on the importance of ESG integration for the transition toward a more responsible and sustainable finance (micro-level) as well as a more sustainable development (macro-level).

The paper provides new insights into the essence of SRI strategies and their potential to contribute to sustainable development. Thus, it tries to shed new lights on the role that ESG can have to stimulate and support investment decisions and, in so doing, contributing to make finance grow more sustainable.

This paper fits in a research field dealing with the impact of Corporate Ethics Assessment on Financial Performance. The authors argue how environmental, social and governance (ESG) paradigm, meant to measure corporate social performance by rating issuance, can impact on abnormal returns of Italian firms listed on Financial Times Stock Exchange Milano Indice di Borsa (FTSE MIB) Index, developing a panel data analysis which runs from 2007 to 2015.

This study aims at exploring whether socially responsible investors outperform an excess market return on Italian Stock Exchange because of their investment behavior, testing statistically the relationship between the yearly ESG assessment issued by Standard Ethics Agency on FTSE MIB’s companies and their abnormal returns. To verify the impact of an ESG Rating on a company’s abnormal return, the authors developed a panel data analysis through a Fixed Effects Model. They measured abnormal returns via Fama–French approach, running a yearly Jensen’s Performance Index for each company under investigation.

The empirical results denote in Italy both a growing interest to corporate social responsibility (CSR) and sustainability by managers over the past decade, as well as an improving quality in ESG assessments because of a reliable corporate disclosure. Thus, despite investors have been applying ESG criteria in their stock – picking operations, the authors found a not positive and statistically significant impact in terms of market premium, when they have been undertaking a socially responsible investment (SRI).

The findings described above show that ethics is not yet a reliable fundraising tool for Italian-listed companies, despite SRIs having a positive growth rate over past decade. Investors seem to be not pricing CSR on Stock Exchange Market; therefore, listed companies cannot be rewarded with a premium price because of their highly stakeholder oriented behavior.

This paper explores, for the first time in Italy, when market extra-returns (if any) are related to corporate social performance and how managers leverage ethics to build capital added value.

The paper aims to advance knowledge by investigating the main factors that impact on innovation through the co-development process between researchers and firms at the very early stage of proof of concept.

The authors developed an empirical analysis on the proof of concept network project, through a mixed empirical analysis. They explored the main factors that affect the enactment of the co-development process and tested the impact of such factors on the probability for partners to enact a co-development project and generate innovation.

From the quantitative analysis comes out that the trust of the research team into the potentiality of the technology, the commitment of researchers concerning the scalability of technology and the IP value issued by external experts have a positive impact on the probability to create a match among partners and generate innovation.

Even if all the population of technologies (108) considered in the project implementation are analyzed, the development of the empirical analysis on a specific project within a single country represents a limitation. Future analysis will concentrate on a larger panel of proof of concept experience across Europe.

The success of a co-development process between researchers and companies at the embryonic phase of the technology considers the opportunity to exploit the technologies into real products for the market.

This is an empirical analysis of the first Italian proof of concept implementation that deeply investigates which critical factors can enable innovation by enacting a co-development process between researchers and small and medium-sized enterprises (SMEs).

The paper aims at investigating antecedents and predictors of consumers' buying and consumption processes within the Italian Solidarity Purchasing Groups (SPGs) to enrich current debate about drivers and levers on which act for fostering ethical consumption in food sector.

Building upon the theory of planned behavior (TPB) a theoretical model is proposed for depicting possible antecedents and predictors of consumers' buying and consumption processes in food sector. The validity of the model has been tested via partial least squares structural equation modeling (PLS-SEM) using SmartPLS for analyzing primary data collected through a structured questionnaire from 354 consumers engaged in SPGs.

Within the domain of food buying and consumptions through SPGS, results show that consumers' behavior intention (BI) is influenced by consumers' attitude (ATT) and perceived behavioral control (PBC). Moreover, the research also demonstrates that consumers' ATT is influenced by consumers' ethical self-identity (ETH), consumers' willingness to support local economy (SLE), and food safety concern (FSC).

The study contributes to the ongoing debate on sustainable consumerism focusing the attention on SPGs as emerging social organizations inspired by ethical food consumption. Both theoretical development and empirical evidences enrich current knowledge about drivers and levers on which act for fostering ethical consumption in food sector.

The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.

This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation.

The results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes.

This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.

This study aims to empirically investigate the effects of both soft and hard quality management (QM) on innovation and organizational performance. It also examines the mediating role of hard QM, administrative innovation and technical innovation on the relationship between soft QM and organizational performance in higher education (HE).

The approach of this study is quantitative. The data used to test the hypotheses were obtained through online questionnaire sent to the academic staff of public universities in Naples (Italy). The hypothesized relationships are tested with data collected from 356 respondents by using the partial least squares structural equation modeling technique (PLS-SEM).

The results show that quality practices improve innovation and organizational performance, while innovation positively impacts organizational performance. The findings also indicate that soft QM affects organizational performance directly and indirectly through hard QM. Hard QM and innovation show a partial sequential mediating effect on soft QM-performance relationship

In order to implement quality management properly in HE, directors need to recognize the different roles that soft and hard QM can have on innovation and organizational performance. It is important that higher education institutions (HEIs) allocate resources to establish both types of QM practices to achieve the effectiveness of the whole QM system.

Despite the existence of numerous studies on the relationship between QM, innovation and organizational performance in manufacturing and services, studies conducted in higher education are still few. This is one of the earliest studies that adopt the multidimensional approach of QM in HE which could help directors understand the interdependencies and different roles of soft and hard quality practices.

This research focuses on the relationship between Top Management Team heterogeneity (TMT) and University Spin-Offs (USOs) economic performance according to a micro-foundational perspective. The purpose consists in exploring whether a high academic representation in TMTs may improve USOs’ performance and how their competencies and backgrounds affect USOs’ economic success.

The authors employed data from the Italian platform Netval to identify the entire population of USOs in southern Italy. They selected both pure and hybrid spin-offs that had at least one academic member on the TMT. Applying these conditions to our sample selection, the authors came to a population of 136 firms. They applied a hierarchical regression analysis to test the hypotheses.

Our main findings reveal that the USOs’ economic performance improves with more academicians in the TMT and even in the same scientific field. Our data also shows that CEO duality has a negative impact on economic performance.

This work takes for the first time a micro-foundational perspective to analyze individual-level factors that affect USOs’ performance. The authors tried to bridge a research gap in the USO literature, shedding light on the relationship between TMT composition and new venture performance, considering some significant interactions between team members. Our expected findings also contribute to the general literature on entrepreneurial teams in new ventures and suggest a means to reconcile some inconsistent literature results on TMT heterogeneity and USO performance.

A unitary scheme which classifies certain subsystems, within production management, according to push and pull logics is proposed. The three subsystems described are: inventory management, manufacturing priority assignment and material picking and moving, and production planning. The classification proposed is a starting point for establishing application requirements. The characteristics of the production context, not the inherent logic, determine the choice of the most feasible techniques. Techniques with different logics can hence coexist in the same production system.