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The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

This study aims to propose and test a research framework for analyzing the relationship between new product development (NPD) best practices and performance in companies that belong to innovative industries in Brazil.

A quantitative survey was conducted, involving several industries, including agricultural machinery, automotive and pharmaceutical. Data was analyzed through multiple linear regression.

Among the best practices investigated, the main results show that “innovative culture” and “project climate” are factors that significantly affect the performance of the NPD.

The choice of best practices can be considered a major limitation of this study, as this is a dynamic concept depending on a continuous analysis that must take into account the economic and technological environment.

This study highlights a relationship between an innovative culture and performance. Some practices may be adopted to address an innovative culture, such as stimulating employee creativity, acceptance and partnership with external actors for the joint development of technologies and employee involvement with NPD.

The findings expand the debate on best practices in NPD and innovation management by presenting results on the topic in an emerging country, in this case, Brazil.