International Journal of Innovation

Objective of the study: To investigate the incidence of Organizational Innovation (OI) in industry sectors in Brazil, grouped by the degree of technological intensity (GIT). Methodology: The quantitative study used the 2011, 2014 and 2017 editions of the Innovation Research (PINTEC) as a database. The manufacturing industries that performed OI typified in Management Techniques, Environmental Management Techniques, Work Organization and External Relations were selected, organized by sector according to the National Classification of Economic Activities (CNAE) and grouped by GIT (Low, Medium-low, Medium-high and High). The information obtained was organized and presented in tables, which were analyzed descriptively and the results were discussed with previous studies. Originality/Relevance: The data structure developed for the study is unprecedented as it presents the types of OI by industry sector and classified by the GIT. Results: Two thirds of the industries are in the Low and Medium-low GIT; emphasis on performing OI in Management Techniques; the higher the GIT, the greater the percentage of companies that performed OI in Management Techniques and Work Organization; the OI in Environmental Management Techniques had greater emphasis in the Petroleum, Chemicals and Drinks sectors; Medium-high and High GIT industries are the most likely to perform OI in Management Techniques. Theoretical/methodological contributions: The structure and treatment of data by industry sector, types of OI and GIT, can be replicated in future studies. Social/Management Contributions: The study presents information for the elaboration of strategies and policies to encourage OI that may favor companies and generate employment, income and tax collection.

Purpose: this work aims to contribute to the literature on strategic management in micro and small firms by identifying the main strategic behavior traits in micro and small technology-based firms.Methodology: the research method consisted of two phases: the first phase, quantitative, involved a survey of 104 micro and small technology-based firms, whose results were analyzed using the cluster analysis technique. The second qualitative phase involved five case studies, whose information was obtained through five semi-structured interviews and analyzed using the content analysis technique.Results: the results indicated which micro and small technology-based firms operate in sectors with high levels of dynamism and uncertainty, and their strategic behavior is based on the definition of competitive and innovation strategies, communication of strategic objectives to employees, allocation of organizational resources for innovation, market research and investments in R&D and development of dynamic capabilities for innovation, sensing changes in the external environment, seizing and reconfiguring resources, through strategic partnerships with external agents, especially customers, which can help these companies to adapt to market demands and obtain competitive advantages.Conclusions: the strategic behavior in micro and small technology-based firms is influenced by the definition of competitive and innovation strategies, communication of strategic objectives to employees, allocation of organizational resources for innovation, market research and R&D investments, and development of dynamic capabilities for innovation.

Purpose of the study: the objective of the study was to identify the main strategic domains and their characteristics that enable the proposition of a theoretical-analytical model for implementation and analysis of Digital Transformation (DT) in organizations.Relevance/originality: proposition of a theoretical-analytical model for implementing and analyzing Digital Transformation (DT) in organizations, based on the 'state of the art' of the topic (national and international literature from 2017 to 2021), composed of eight strategy domains (or dimensions).Methodology/approach: systematic Literature Review, using the Scopus and Web of Science databases as a source of consultation and data collection, between 2017 and 2021, whose selection was based on reading the titles and abstracts of 296 articles, 26 of which were selected for this work.Main results: identification of the main strategy domains inherent to DT and its characteristics - customers, data, competition, innovation, value generation, competencies, culture, and agility, which enabled the structuring and proposition of a theoretical-analytical model for implementation and analysis of (DT) in organizations.Theoretical/methodological contributions: from a theoretical-academic point of view, by extending investigative and analytical research on the topic of Digital Transformation into the interdisciplinary and multidisciplinary field of Information Science, Business Administration, and Computing, and the consequent generation of new knowledge for such fields.Social/management contributions: from the organizational point of view, by proposing a framework that is not only theoretical, but also applied, allowing the implementation and analysis of DT, and its consequent generation of value for the various types and levels of users, besides the business itself.

Objective: This study has two purposes. The first is to determine the relatively impact of EU framework programs (Lisbon Strategy to Horizon 2020) on the level of technological efficiency by comparing them with EU members and non-EU members selected countries. This paper also to compare technology efficiency of the EU member countries separately and as a union. The second is purpose to evaluate technological efficiency scores and the economic growth rates of the EU and the selected countries.Originality/Relevance: The relative efficiency of the technology and innovation of the EU was compared with other selected countries for 2000, 2005, 2010, 2015 and 2018 and evaluated. In previous studies, we could not find a study evaluating the long-term impact of the European Union's framework programs and its efficiency of innovation.Methodology/approach: For measuring efficiency, DEA method was used with two inputs and four outputs which is represented the technology and innovations.Main results: The evidence shows that the efficiency of the technology and innovation of the EU was quite low in 2000, and it has reached an increasing trend over the years and reached the full efficient in 2015 and 2018. The analyses which were done separately for 26 EU countries, the efficiency scores are relatively low among EU countries. It reveals that the EU provides a strong platform for R&D collaborations for creative destruction.Social/management contributions: The EU should continue to design promoting cooperation networks, frameworks programs to support stable economic growth patterns and long-term technology-based growth targets, considering the distinctive features of its economic system.