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A sensor to determine TOC is described. It is based on the photoassisted degradation of organic compounds concurring to TOC and on the determination of the resultant CO₂. The sensor was successfully tested on target molecules, demonstrating that the linear correlation constant between TOC values and produced CO₂ varies according to the considered compound so that absolute value determination is not possible in largely heterogeneous solutions but can only be referred to reference compounds on the TOC scale.

This paper aims to demonstrate the existence of a relationship between the knowledge creation process and competitive advantage in the banking system. The framework of knowledge creation processes adopted in this research is the spiral of knowledge proposed by Nonaka and Takeuchi (1995). The concept of competitive advantage is limited to the measurement of economic value by adopting methods that compare the financial performance of the banks with related markets. The objective of this research is to answer the following research question: Which factors of the spiral of knowledge are relevant for increasing a bank’s economic value?

The sample used for this empirical research is composed of 960 banks operating in 24 countries. The sample was analyzed from 2012 to 2015 and includes 3,840 observations. Regarding the methodology, hypothesis demonstration was carried out using a panel analysis (generalized least squares regression) on a set of variables.

The results show that Nonaka and Takeushi’s spiral of knowledge has a positive influence on value creation in the banking system. However, not all factors of the four modalities of converting tacit knowledge into explicit knowledge and vice versa have a positive influence on the economic value of banks. Therefore, by excluding factors that have a negative influence or are not significant, it is possible to formulate an empirical model that illustrates the relationship between the spiral of knowledge and the economic value of banks.

There is a lack of studies on the knowledge creation process in the banking system because most of the research is geographically limited, and empirical tests are performed on small samples. Second, generally, these studies are limited to the relationship between intellectual capital and bank performance measured by accounting ratios. However, intellectual capital is only one component of the broader concept of knowledge. This research uses a large and geographically diverse sample and studies the relationship between the spiral of knowledge and economic value, which is measured by various financial techniques.

This paper aims to analyze the role of intellectual capital in the underexplored relationship between sustainable performance and credit access among private firms in Italy, where over 90% of businesses are small and medium enterprises. While D’Apolito et al. (2024) have investigated sustainability-linked bank financing among Italian listed small and medium-sized enterprises, this study takes a different approach by focusing on private firms and examining the influence of environmental, social and governance criteria on their credit access. The research seeks to deepen the understanding of how sustainable practices impact financial outcomes and access to funding for private enterprises.

To investigate the relationship between sustainable performance and credit access as well as the moderating role of intellectual capital, this study employs an ordinary least squares regression model. It utilizes an innovative measure of sustainable performance for private firms – the legality rating issued by the Italian Competition Authority in 2022 – drawing on prior research to establish a robust analytical framework.

The findings highlight the importance of incorporating environmental, social and governance criteria into the credit evaluation process for private firms. They underscore the critical role of intellectual capital – comprising human capital, structural capital and relational capital – as a moderating factor in the relationship between sustainable performance and credit access.

To the best of our knowledge, this study is the first to examine the moderating role of intellectual capital in the relationship between sustainable performance and credit access among Italian private firms. While substantial research exists on environmental, social and governance performance in large listed firms, there remains a notable gap concerning the sustainability criteria of private and unlisted entities. This study addresses this gap by providing insights into the unique dynamics of sustainable performance and financial access in the context of private enterprises.

We explore the impact of a specific knowledge management framework on the quality of innovation, the geographic distribution of R&D and the cross-regional integration. We use directly observed indicators of cross-regional knowledge application within the firm as well as examine collaborative mechanisms that firms may use to promote such knowledge translation.

Our analysis is based upon successful patents in biotechnology sector applied for during 2011–2014. The empirical assessment follows a mixed method approach. The sample used for testing the empirical hypotheses is composed of 130,720 patents from 860 large US firms. The sample of patents was obtained from USPTO and NBER dataset.

The idea of this paper was to introduce a model specifically developed for the process of knowledge translation. This research contributes to the literature related to the emergent and new issue namely collaborative knowledge translation (CKT), especially emphasizing the key role of the knowledge translation practices and tools for the internationalization of R&D teams and supporting the quality of innovations in different ways.

This research is conceptually based on the broader concepts of spiral of knowledge of Nonaka and Takeuchi. In spite of the increasing research in innovation, few studies have been done about the diverse contexts' role in the knowledge flows supporting the innovation development. In the attempt to cover this gap, the objective of this research is to answer the following main research question: How to support and manage the process of knowledge translation in innovation processes occurring in collaborative teams?

Customer satisfaction has been traditionally the main goal aimed at by managers. Focusing on the banking industry, the importance of this concept is even greater because of the increasing focus of banks on mobile services to reach out to a larger set of customers. To investigate user’s behavior in a Fintech context, this study aim to focus on two relevant issues: service quality and perceived risk. For the purpose, the authors integrated a technology quality-based model with a green image perspective to investigate the impact on customer satisfaction in Fintechs users.

The primary data is based on a survey directly taken from a questionnaire survey. The survey is collected by researchers. This research used probability sampling technique with convenience sampling. The data of this study data is derived from an online survey of Italian households performed between August 2020 and December 2020. In accordance to other studies, the questionnaires used Likert scale model that was conducted by measuring five categories of responses. For methodology, the authors analyzed data by structural model equations.

The authors find that some of quality services factors impact on user satisfaction as well as the trust in Fintech providers. Moreover, the empirical findings highlight that the importance of a green reputation in Fintech providers from the perspective of consumer as it enhances both the trust and the satisfaction in internet banking services offered. It is needed to highlight that the most important thing for a Fintech provider is to secure loyalty and to be sustainable from a green perspective. The authors found that trust and green image give great influence on use intention. Therefore, it is most important for financial providers to develop financial products with trust and e-loyalty in mind.

This study suggests that nowadays Fintech companies should invest more resources in the increasing of green image because it is positively associated with trust and customer’s satisfaction. The authors incentive the financial institutions to promote the sustainable development and green strategies in their planning as concern for the environment and sustainability affects consumers, who increasingly consider certain non-financial attributes in their investments, such as environmental, social and governance criteria. Future research that includes different cultural settings would enhance generalizability and external validity as the respondents all live in Italy.

For the purpose, the authors integrated a technology quality-based model with a green image perspective to investigate the impact on customer satisfaction in Fintechs users. This paper, to the best of the authors’ knowledge, is the first to study consumer satisfaction in Fintech context in this sense. Although existing research has investigated relevant aspects of customer trust, satisfaction, these issues have not been discussed from a green perspective. Apart from that, the main contribution of this paper is its exploration of the influence of green image on loyalty and satisfaction. To the best of the authors’ knowledge, however, no studies have been done on sustainable banking in Italian banking sector, focused on Fintech services. In this paper, the authors attempt to fill this research gap.

This paper aims to deal with the perceptions of banks’ managers about some criteria for assessing creditworthiness related to firms and how these criteria affect non-performing loans (NPLs). The paper wants to respond to the following research question: “Which criteria influence the magnitude of NPLs?” The evidence is based on the improvement of credit quality in the Italian banking system, which the authors study in aggregate and size-specific analyses, creating two subsamples (large and small banks).

The methodology used was a mixed method approach. The values of the variables were quantified according to the information derived from Thomson Reuters (Eikon, Datastream), the financial reporting of the banks and questionnaires directly administered to the bank managers.

This research about loans selection criteria provides useful indications for “The Basel Framework”. The results show that managers of the large banks are improving the approach of allocating the loans; the managers of the small banks are getting worse in the period 2006-2016. Therefore, it should be valuable to build a new standard about qualitative and quantitative criteria to recognize credit risk. In particular, these criteria could be adopted to reduce NPLs, and they should be different in small banks and large banks.

The study is part of empirical research investigating the causes of the significant increase in NPLs in the Italian banking system in 2006-2016. Most research interprets the increase in NPLs in the Italian banking system only as an effect of the crisis in the Italian entrepreneurial system. This research offers a different interpretation of the problem, interpreting the phenomenon as a delay of the banking system in investing in an effective information criterion.

The purpose of this paper is to examine listed companies, grouped by sector, that for decades have shown a dividend growth. Referring to the food and beverage (F&B) industry, the authors have investigated the adoption of an open innovation model in order to fill a gap in the existing literature.

This paper uses a multi-method design linking qualitative and quantitative approaches. The quantitative study was planned in order to identify some US-listed companies, called Dividend Champions that have distributed consistently growing dividends for over 50 years and have beaten the markets. The qualitative study was designed to provide insight into the adoption or not of an open innovation model by the listed companies in the F&B industry in the US market that were selected by the quantitative analysis.

The research is based on an empirical analysis undertaken with 816 listed companies in US markets. In particular, the authors underline 20 companies that over the past 50 years have systematically increased dividend paid, and at the same time, have beaten the market (Standard & Poor’s 500). In all, 30 per cent of the selected companies belong to the consumer goods sector, and F&B companies represent 50 per cent of them. All of these companies (The Coca-Coca Company, Hormel Foods Corporation, and Lancaster Colony Corporation) implement an open innovation model.

To the authors’ knowledge, this is the first exploratory study based on value maximisation and open innovation. An open innovation model increases competitiveness and the durability of competitive advantage, which are main sources of value creation. The paper highlights evidence from the F&B industry, referred to as Dividend Champions, and the adoption of an open innovation model.

Resurgent interest in the life and work of the Italian Cambridge economist Piero Sraffa is leading to New Directions in Sraffa Scholarship. This chapter introduces readers to some of these developments. First and perhaps foremost is the fact that as of September 2016 Sraffa’s archival material has been uploaded onto the website of the Wren Library, Trinity College, Cambridge University, as digital colour images; this chapter introduces readers to the history of these events. This history provides sharp relief on the extant debates over the role of the archival material in leading to the final publication of Production of Commodities by Means of Commodities, and readers are provided a brief sketch of these matters. The varied nature of Sraffa scholarship is demonstrated by the different aspects of Sraffa’s intellectual legacy which are developed and discussed in the various entries of our Symposium. The conclusion is reached that we are on the cusp of an exciting phase change of tremendous potential in Sraffa scholarship.

Multi-criteria methods represent an adequate tool for solving complex decision problems that provide real support to the decision maker in the choice process. This paper analyzes a decision problem that recurs over time using one of the newer methods as the Parsimonious AHP.

In this paper we integrated the P-AHP with: (1) the weighted average which takes into account the objectivity of the data; (2) ordered weighted average (OWA) aggregation operators that address the subjective nature of the data; (3) the Choquet integral and (4) the Sugeno integral which also considers the uncertain nature of the final ranking as it is defined on a fuzzy measure.

The present paper proves that variations in the final ranking, due to the different mathematical properties of the selected aggregators, are fundamental to select the best alternative without neglecting any characteristic of the input data. In fact, it is discussed and underlined how and why the best alternative is one that never excels but has very good positions with respect to all aggregation operator rankings.

The aim and innovation presented in this work is the use of the Parsimonious AHP (P-AHP) method in a dynamic way with the use of different aggregation techniques.