Programa del congreso

Objective – The purpose of our study is to analyse the role of Organisational Learning Capability (OLC) and International Growth Orientation (IGO) as drivers of Frugal Innovation (FI) and Organisational Performance (OP) in an integrated model composed of three mediating relationships.

Theoretical framework – We aim to fill research gaps related to innovation management and international business literature by conducting empirical research on FI and IGO. Also, we propose a novel model by adding the OLC construct to this relationship, thereby advocating that OLC, IGO, and FI are OP drivers.

Design/methodology/approach – To answer our research question within the Southern Brazilian context, we analysed 343 organisations from the transformation sector by operationalising a Structural Equation Modelling with the SmartPLS software. Furthermore, we conducted two multi-group additional analyses (PLS-MGA) to observe heterogeneities among groups, comparing the results of exporting versus non-exporting companies, as well as of micro, small, and medium-sized enterprises against large ones.

Results/implications – Our findings highlight the significant role of FI in augmenting the impact of both OLC and IGO on OP. Moreover, internationally oriented businesses that implement frugal processes are more likely to achieve higher OP than those that do not integrate FI into their operations.

This study aims to contribute a model for consideration during the digitalization process within shipping organizations. Grounded in the latest research, it addresses the existing gap in studies focusing on the impacts of digitalization, particularly in the realm of quality management processes in the shipping industry. The theoretical framework emphasizes the factors crucial for digitalization, providing a unique perspective on the multifaceted impact it has on shipping organizations.

The methodology involves an extensive literature review followed by in-depth interviews conducted with staff from four container shipping companies. A total of 25 interviews, featuring both closed and open-ended questions, are analyzed using the GIOIA methodology. This method extracts key constructs related to the drivers and barriers of digitalization in the shipping sector. The synthesis of insights from academic literature and industry practitioners forms the basis for generating a comprehensive model.

The results present a detailed model highlighting essential aspects to consider during the digitalization process in shipping organizations. The model is a valuable resource for companies seeking guidance on effective digitalization strategies, specifically in the context of enhancing quality management processes.

Goals: The study uses a systematic literature review concerning the field of "big data" and "innovation". The main objective of this study is to analyse the research gaps in the field of "big data" and "innovation" to determine future research areas and emerging trends.

Theoretical Framework: Establishes a comprehensive understanding of big data, innovation, and their interplay. Through concept definition, analysis, and interrelation, it lays a theoretical framework for subsequent analysis, highlighting big data’s impact on innovation with both benefits and challenges.

Design/Methodology: To achieve these objectives, bibliometric analysis: performance analysis, and science mapping with the help of VosViewer.

Results: This study highlights 7 research clusters formed by the data set and the research gaps as well as major focus and trends in the field.

Research limitation/Implications: The study used data from Web of Science and EBSCO may have resulted in the exclusion of publications from other databases.

Practical Implications: The study serves as a roadmap for future research initiatives and offers practical advice to entrepreneurs, educators, and legislators, ultimately advancing knowledge and the efficient use of big data to drive innovation.

Esta investigación busca analizar las tendencias investigativas sobre las barreras a la innovación sostenible a través de un análisis bibliométrico de documentos investigativos con rigurosidad e impacto científico utilizando un software de mapeo y visualización de redes de concurrencia de palabras claves y estructuración de Clústeres – VOSViewer –. Entre los principales resultados de la investigación se encontró que la literatura sobre barreras a la innovación sostenible ha tenido un mayor crecimiento desde el año 2012; que los países desarrollados, liderados por China como uno de los más contaminantes, son los que más están desarrollando investigación aplicada y enfocada en el componente ambiental de la innovación con el propósito de alcanzar un desarrollo sostenible; y que las principales barreras a la innovación sostenibles son las financieras y las regulaciones gubernamentales. Finalmente, en las conclusiones se indican algunas líneas de investigación a futuro enfocadas en las barreras de mercado y de conocimiento, las investigaciones en países en vías de desarrollo, y el desarrollo del componente social en la innovación sostenible.