Drivers of business model innovation in family firms: A dataset analysis.

In recent years, both in the world of research and consulting, the concept of innovation in the business model has been gaining a lot of interest. As a result, an incipient number of scientific and popular publications are being generated, which try to delimit and explain this term, as well as work methodologies for its application in the business world. The family business field can benefit from the application of this approach. But, at the same time, it can also serve as an object of study since its special idiosyncrasy will allow to deepen the analysis of successful business models. To illustrate innovation in business models, data from 112 family firms representative of the regional economy are presented. The companies are also associated with the Murcian Association of Family Businesses (Amefmur). The collaboration with this organization has made it possible to obtain very valuable and representative information thanks to the support provided. The collection of information was carried out through an electronic survey. These data could be especially useful for establishing business recommendations for this type of companies and for analyzing other possible interrelationships of the variables available in the database.

Intention to use mobile payment by early adopters from mobile phone user data.

The data comes from an empirical study conducted to determine the intention to use mobile devices as a means of payment. The data collection was conducted on a total of 463 students at a university, with 425 valid cases. These students were chosen because of their greater affinity with mobile devices, making them digital natives. The questionnaire was developed using scales recognized in the literature on aspects such as intention to use, learning costs or perceived functional value. The reliability and validity of all constructs showed that the questionnaire was proper for measurement. Data analysis was applied l to examine the validity of scales. But, what makes this data really interesting and singular is the collection of data in 2013 (265 respondents) and 2016 (160 respondents). This allows cross-sectional and longitudinal analyses to check the evolution of respondents' perceptions of mobile payments. Results imply that the data is suitable for conducting replication studies.