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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.

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?

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.