International Journal of Innovation
The International Journal of Innovation (IJI) is a scientific journal. Its mission is to serve as a periodical publication of scientific and technological works in the field of innovation, with a focus on emerging markets, studying individuals, organizations, ecosystems and policies.
The themes of interest to the periodical with a focus on emerging markets are: Innovative Entrepreneurship, Innovation and Learning, Innovation and Sustainability, Internationalization of Innovation, Innovation Systems, Emerging Themes of Innovation and Digital Transformation.
The IJI is classified as Level A4 in the newly proposed QUALIS/CAPES system. Three issues are published every year (January-April; May-August; September-December), and articles can be submitted in Portuguese, English and Spanish, with the main publication of the work being in the English language.
- The relationships between entrepreneurial orientation and business structuring in the process of incubationpor Daiane Tretto da Rocha el diciembre 21, 2023 a las 3:00 am
Study Objective: The aim of this study is to examine the relationships between Entrepreneurial Orientation (EO) and the structuring of business in the incubation process. Methodology/ Approach: A theoretical-conceptual approach was adopted, based on a systematic literature review (SLR) in the Web of Science and SCOPUS databases, using the string “Entrepreneurial Orientation” AND Incubat*. A total of 32 articles were selected for the full reading phase with the support of Atlas Ti software. Originality/Relevance: It indicates that the development and strengthening of entrepreneurial culture in nascent companies occur through the articulation of EO applied to incubation strategy. Main Results: As result, it was possible to develop a conceptual framework regarding the mediating antecedents and consequences of the relationships between EO and business incubation, as well as to rise propositions based on the research findings. Theoretical/Methodological Contributions: This study advances the theory of EO by addressing it in the context of business incubation, a growing field with few studies from the EO-Incubation perspective. Social/Administrative Contributions: Relevant reflections are presented for institutional policymakers, universities, technology parks, governments, and other institutions interested in strengthening an entrepreneurship-oriented culture.
- Corporate digital transformation:por Jose Edson Lara el diciembre 21, 2023 a las 3:00 am
Purpose of the study: To analyze the configuration of the status quo of digital transformation in a sample of organizations, through the model application proposed by Rogers (2017). Methodology: It consisted of a quantum study in 2022 with 159 Brazilian companies, whose analysis was performed by modeling structural equations. Originality/Relevance: Studies on the evolution of organizations in various contexts are of paramount importance for the establishment and implementation of actions, creating possibilities for continuous improvements in corporate environments. Thus, it is essential that analyzes on the boundaries of knowledge and executive realities in business scenarios are increasingly necessary for decision making in corporate daily life. Under this premise, and observing the phenomenon of digital transformation, this article developed, Main Results: Significant adherence of the variables of the model was found to explain the digital transformation process experienced by the surveyed companies. Innovation and customer orientation activities were the most significant constructs of digital transformation, while the orientation for competition and data quality explained to a lesser extent, although the orientation for value creation was not statistically significant. Theoretical/Methodological Contributions: The theme is emerging in the literature, and the vast majority of studies address it in the logic of reports and corporate courses. The resulting contributions of empirical research are still scarce. This work aims to offer a deeper and more timely speaker on this important theme. Social Contributions/Management Contributions: It is intended to contribute with critical and dense content to organizational analysis and decision-making, especially those of the competitive environment.
- Artificial Intelligence in academic researchpor Angelica Pigola el diciembre 20, 2023 a las 3:00 am
Artificial intelligence (AI) has established itself as a transformative force in the digital era, influencing not only companies but also the field of academic research. This technological evolution, together with the exponential growth of data, is reshaping organizations, societies, and economies (George, Osinga, Lavie, & Scott, 2016). However, the application of AI in academic research is still in its early stages, and many academic journals are beginning to address its judicious use.
- Lean thinking in value co-creation:por Andrei Bonamigo el diciembre 20, 2023 a las 3:00 am
Objective: The goal of this paper is to identify both the opportunities and barriers to adopting Lean Thinking for value co-creation in agro-industrial services. Design/methodology/approach: This research paper comprises a methodical review of the literature on value co-creation in agro-industrial services, with a specific focus on Lean Thinking. The authors utilized Bardin's (2011) content analysis approach to examine the resulting portfolio and derive insights into the prospects and challenges of implementing Lean Thinking in value co-creation within the agro-industrial services sector. Findings: The opportunities and barriers for the adoption of Lean Thinking in value co-creation in agro-industrial services were identified by the authors, who also proposed ways to overcome the obstacles. In total, five opportunities and five barriers were recognized. Originality: This study represents a novel effort in identifying the opportunities and barriers of implementing Lean Thinking in value co-creation for agro-industrial services. The findings may guide decision-making processes and strategic actions aimed at enhancing the agro-industrial market. Practical implications: The identified opportunities and barriers can provide a foundation for guiding strategies that direct agribusiness players in making informed decisions, while also mitigating waste through collaborative efforts among multiple companies. It can also guide players towards value aggregation in their products and/or processes by promoting co-created services among players, in line with the principles of Lean Thinking. Social implications: Efficient value co-creation in agro-industrial services can result in improved well-being, convenience, and service offerings for society. It can also add value to products through services and create more employment opportunities in the agro-industrial sector.
- Toward a better understanding of collaborative research, development, and innovation (R&D&I) - exploring virtual, physical, and cognitive structurespor Jukka Kääriäinen el diciembre 20, 2023 a las 3:00 am
Objective of the study: The research in this paper contributes to the understanding of how physical, virtual, and cognitive structures support innovation ecosystems’ multi-actor research, development, and innovation (R&D&I) collaboration in its different phases. Methodology/Approach: The research’s methodological approach is based on a qualitative case study research strategy. It is done by exploring three innovation ecosystem cases. The case data comprises the case ecosystems’ existing documentation that was supplemented with five semi-structured interviews. Originality/Relevance: Based on the findings of this research, it was possible to explore how industry and academy partners are collaborating through virtual, physical, and cognitive structures. Our cases also provide empirical evidence on how physical industrial sites can be used as environments for collaborative industry-academy R&D&I work. Main Results: As a result, the paper presents lessons learned from three different innovation ecosystem cases that involve industrial, technology, and academy partners to tackle industrial use cases through virtual, physical, and cognitive structures. An example of such lessons learned is assembling dynamic teams to solve industrial problems. Theoretical/Methodological Contributions: This article builds an understanding of how virtual, physical, and cognitive structures support collaboration between different participants in their joint R&D&I work covering industry-academy collaboration. The article also explains practical examples of this using innovation ecosystem cases. Management/Social Contributions: The findings of this study may benefit professionals and managers who have an interest in understanding collaborative R&D&I and how physical, virtual, and cognitive structures can support it. Furthermore, the results provide means and experiences for innovation ecosystem managers to facilitate the definition of operational models suitable for the context of their innovation ecosystems.