Journal of Technology Management & Innovation
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Influencia del capital estructural, relacional y humano en el emprendimiento e innovación de pequeñas empresas de software de un país en desarrollo
No full textThe research aims to determine the effects of human, structural, and relational capital on entrepreneurship and innovation in the software development industry in an emerging country, Colombia. The sample consisted of 310 surveys of software development in micro and small companies from Colombia. The data were analysed using a structural equation model. Among the results found is the positive influence of structural and relational capital on human capital and the positive influence of human, structural and relational capital on entrepreneurship and innovation capital in micro and small companies of software development in Colombia. The value of this research lies in the relationship of the main identified elements: human, structural, relational, entrepreneurship and innovation capital, reducing the gap between the theoretical model of Knowledge Spillover Theory of Entrepreneurship and empirical model of Intellectus.La investigación tiene como objetivo determinar los efectos del capital humano, estructural y relacional sobre el emprendimiento y la innovación en la industria de desarrollo de software en un país emergente, Colombia. La muestra estuvo compuesta por 310 encuestas de desarrollo de software en micro y pequeñas empresas de Colombia. Los datos se analizaron utilizando un modelo de ecuaciones estructurales. Entre los resultados se encuentra la influencia positiva del capital estructural y relacional sobre el capital humano y la influencia positiva del capital humano, estructural y relacional sobre el emprendimiento y el capital de innovación en micro y pequeñas empresas de desarrollo de software en Colombia. El valor de esta investigación radica en la relación de los principales elementos identificados: capital humano, estructural, relacional, emprendimiento y de innovación, reduciendo la brecha entre el modelo teórico de Knowledge Spillover Theory of Entrepreneurship y el modelo empírico de Intellectus
Facilitando la Innovación desde Instituciones de Educación Superior Públicas: Determinantes y Desafíos en la Transferencia Tecnológica en México
Full text linkTechnology transfer (TT) is essential to promote innovation and, therefore, the economic and social development of contries. In this paper, we seek to identify the main determinants of TT in Mexico. We interviewed 24 director y/o managers of Technology Transfere Offices (OTT) of Public Higher Education Institutions (PHEI), whose content was analyzed using Atlas ti. The results reveald 22 determinants of TT, which can be grouped into three categories: institutional, goverment and productive sector. This comprehensive approach allows us to understand the complexity of TT in Mexico and identify the challenges it faces. This qualitative study provides valuable information for decision makers in the field of TT.La transferencia tecnológica (TT) es fundamental para fomentar la innovación y, por ende, el desarrollo económico y social de los países. En este estudio, se busca identificar los principales determinantes de la TT en México. Se llevaron a cabo entrevistas con 24 directores y/o responsables de Oficinas de Transferencia Tecnológica (OTT) de Instituciones de Educación Superior Públicas (IESP), cuyo contenido se analizó utilizando Atlas ti. Los resultados revelaron 22 determinantes de la TT, que pueden agruparse en tres categorías: institucional, gubernamental y sector productivo. Este enfoque integral permite comprender la complejidad de la TT en México e identificar los desafíos a los que se enfrenta. Este estudio cualitativo proporciona valiosa información para los encargados de tomar decisiones en el ámbito de la TT
Digitalisation and Economic Growth in G-20 Countries: A Panel ARDL Analysis
Full text linkThe 4th industrial revolution, or Industry 4.0 for short, has been ushered in by technological improvements over the past 30 years. As a result, the growing trend of digitalization has had a distinctly beneficial effect on economic growth, particularly in the banking and financial sector where it has increased productivity and efficiency due to reduced information asymmetry and by making financial services more widely available and reasonably priced for a wider range of people. Keeping in mind the notable benefits brought about by rising digital advancements and its impact on financial sector, this study aims to show the dynamic relationship between digitalization, financial inclusion and economic growth for G20 nations. We used the annual data for the time span of 2010 to 2020 for G20 countries and has used panel ARDL approach for the analysis. The panel ARDL technique reveals a positive correlation between digitalization and long-term economic growth. Conversely, the research findings indicate a negative relationship between them in the short run. Similarly, we spot an detrimental long-term association between financial inclusion, measured as the number of commercial bank branches, and economic growth. The study also comes to the conclusion that, in the short and long terms, respectively, population and gross-fixed capital formation have an impact on economic growth. Further, we have checked the robustness of our results by using internet usage as proxy for digitalization. The finding in this case proves the robustness of our study. Based on our study, we suggest that widespread digitalization and financial inclusion along with the introduction of FinTech might contribute to sustainable economic growth from a policy perspective
Interplay of Customer Satisfaction, Innovation, and Product Quality: Key Determinants of Company Performance
Full text linkCustomer Satisfaction, Innovation, and Product Quality stands as a cornerstone for micro, small, and medium-sized enterprises (MSMEs) seeking growth, competitiveness, and long-term sustainability. This study delves into the intricacies of Customer Satisfaction, Innovation, and Product Quality\u27s influence on MSME performance within the dynamic Iberoamerican business landscape. Adopting a quantitative research approach, we investigate the relationship between Customer Satisfaction, Innovation, and Product Quality and MSME performance across Iberoamerican. A composite index derived from self-reported data was employed to gauge MSME performance, drawing upon a comprehensive survey of 9,300 Iberoamerican MSMEs. Our findings reveal that factors such as company origin, size, and age significantly impact the level of innovation achievable by MSMEs. Notably, younger, medium-sized companies exhibit a proclivity for higher innovation compared to older firms and micro-enterprises. The study\u27s implications for theory and practice extend to policymakers, business owners, and stakeholders invested in fostering MSME growth and development
MICROGOBERNANZA DE REDES INTERORGANIZACIONALES PARA LA PROMOCIÓN DE ECOSISTEMAS DE EMPRENDIMIENTO E INNOVACIÓN
No full textThe formation of interorganizational networks for the promotion of entrepreneurial ecosystems is a strategy that is increasingly present in the agenda of public and private actors as an alternative for local development. However, effectiveness is something quite difficult to achieve, and much has been studied about the factors that contribute to the realization of a collaborative environment and which, in turn, become essential for the promotion of innovation ecosystems. One of these elements is network governance. This research intends to fill this gap, analyzing the possible combinations of micro-governance roles that create collaborative environments. Nineteen networks in the initial stages of formation were analyzed in one of the most developed capitals in Brazil. The application of the method of comparative qualitative analysis (QCA) allowed the identification of two combinations of micro-governance roles that allow the interorganizational network to create a collaborative environment. These combinations showed that roles such as organizing resources (OR), arbitrating tensions (AT) and monitoring efforts and results (MER) are necessary, but not sufficient for the promotion of the collaborative environment. It is expected that obtained results will be useful for practitioners and policy makers which aim the development and growth of interorganizational networks.La formación de redes interorganizacionales para la promoción de ecosistemas emprendedores es una estrategia cada vez más presente en la agenda de los actores públicos y privados como alternativa para el desarrollo local. Sin embargo, la efectividad es algo bastante difícil de alcanzar, y mucho se ha estudiado sobre los factores que contribuyen a la realización de un entorno colaborativo y que, a su vez, se vuelven esenciales para la promoción de ecosistemas de innovación. Uno de estos elementos es la gobernanza de la red. Esta investigación pretende llenar este vacío, analizando las posibles combinaciones de roles de microgobernanza que crean entornos colaborativos. Se analizaron diecinueve redes en etapas iniciales de formación en una de las capitales más desarrolladas de Brasil. La aplicación del método de análisis cualitativo comparativo (QCA) permitió identificar dos combinaciones de roles de microgobernanza que permiten que la red interorganizacional cree un entorno colaborativo. Estas combinaciones mostraron que roles como organizar recursos (OR), arbitrar tensiones (AT) y monitorear esfuerzos y resultados (MER) son necesarios, pero no suficientes para la promoción del entorno colaborativo. Se espera que los resultados obtenidos sean útiles para los profesionales y los responsables de las políticas que apuntan al desarrollo y crecimiento de redes interorganizacionales
From Research to Returns: A Firm-Level Analysis of R&D and Productivity in the Human Health Industry
Full text linkIn the rapidly evolving human health industry, the role of research and development (R&D) is pivotal. This study aims to investigate the relationship between R&D and labor productivity in the pharmaceutical, biotechnology, and medical device industries, collectively referred to as the human health industry. Utilizing a comprehensive dataset of 1,106 publicly traded firms with 5,457 observations from various countries between 2011 and 2018 available on the Medtrack proprietary database, we employ econometric techniques, including quantile regressions and dynamic panel estimation using the Generalized Method of Moments. Our findings reveal a positive and statistically significant relationship between R&D and productivity across the sample. Notably, this relationship is more pronounced in large firms based in Asia than in smaller firms in other regions. However, no significant differences in the intensity of this relationship were observed among the industries analyzed. Furthermore, our analysis indicates that R&D spending has an increasing marginal effect on productivity, suggesting that more productive companies experience a greater impact from R&D investment. The study offers robust results on the variable impacts of R&D investments on productivity, providing important insights for stakeholders and suggesting avenues for future research in driving innovation and growth in the human health industry
Competitiveness, Social Networks, and Innovation as Econometric Variables: Their Impact on Managerial Decision-Making
Full text linkThis study examines the growth of internet users, the use of social media, investment in innovation, and competitive capacity in the retail sector, aligning with the uncertainty in the importation of selected goods. It adopts an econometric perspective for decision-making in retail companies, addressing the research question: Does the combination of information contribute to improving managerial decision-making? This inquiry is contrasted with the use of a theoretical model of environmental information by Laudon and Laudon, combined with a constraints approach, to develop an econometric management model. The research is quantitative in nature, and the approach is constructivist-positivist with a correlational analysis of its variables. The hypothesis posits a relationship between importation and the use of new technological information in econometric analysis. The research results highlight that retail companies need to extract knowledge with a sophisticated level to identify business requirements, adapt technological infrastructure, define data sources, and, ultimately, the analysis process to counterbalance Ecuador\u27s development model
The Influence of Dynamic Capabilities in Knowledge-Intensive Enterprises: A Study on a Regional Program to Foster Innovation in KIE Firms
Full text linkThe literature on innovation policies for knowledge-intensive entrepreneurship has discussed the implications of these policies on businesses and how they relate to knowledge-intensive entrepreneurship and regional development. This article explores the relationship between dynamic capabilities (network and absorptive) and entrepreneurial attitudes with the innovative capacity of knowledge-intensive companies participating in a regional public policy for innovation and entrepreneurship. Forty-six questionnaires were administered, assessing dynamic capabilities and entrepreneurial attitudes. Data underwent Factor Analysis and ANOVA. The findings support prior research on the relationship between Causation/Effectuation, Network Capacity, and Absorptive Capacities. However, the study did not observe a significant link between developing new and creative solutions and the innovative capacity of startups benefiting from the program (PCEI), contrary to existing literature. This research fills a gap in the literature by examining factors influencing the development of innovative capabilities in knowledge-intensive companies within a government innovation stimulus program. Most studies focus on regional policy impact or performance analysis, while this article emphasizes the evolution of internal capabilities within such firms
A Bibliometric Analysis of Female Technology (Femtech) Research: Trends and Gaps from 2013 to 2023
Full text linkGender health remains an unfinished issue worldwide. As the critical intersection of females’ health and technologies, Femtech emerged beyond a niche market and disrupting conventional healthcare practices for women. Given the various interest and research outputs continue to mushroom on females’ health, a retrospective view on this dynamic field is essential. This research aims to examine Femtech global research landscape using bibliometric analysis technique. Following PRISMA flow diagram, Femtech publications published between 2013 and 2023 in Scopus database were systematically analyzed. A total of 183 publications covering 21 subject areas, in 6 languages from 44 countries were identified for this purpose. The outcomes indicate these publications were predominantly in the field of medicine rather than information technology and a majority were monopolized by authors, journals and sponsors from developed nations. Initial keywords review found to accentuate “mhealth”; “pregnancy”; “mobile applications”; “women’s health”, however, “telehealth”; “wearables”; “privacy”; “reproductive health”; “menopause” had also drawn high interest. The research contributes methodically by applying bibliographic analysis to understand Femtech research trends and assess citations as measure impact on Femtech research ecosystem. This research provides a blueprint empowering researchers, practitioners, investors, Femtech industry players and stakeholders to collaborate in Femtech research to enhance adoption of Femtech globally
Key Dimensions That Measure The Digital Maturity Levels Of Small And Medium-Sized Enterprises (SMEs)
Full text linkDigital maturity models are not widely adopted or implemented in business practice, despite the interest in these models. It is unclear which dimensions and parameters are most crucial in measuring the level of digitalization within small and medium-sized enterprises. In this paper, we present a systematic literature review of studies on digital maturity models published from 2011 to 2021. The guiding research question of this study is: Which dimensions are included in digital maturity models to measure the level of digitalization in business models of SMEs? Existing research on the dimensions and parameters included in digital maturity models was reviewed. The review identified nine dimensions: (a) strategy, (b) leadership, (c) culture, (d) organization, (e) people/employees, (f) technology, (g) processes, (h) products, and (i) customers. Additionally, 16 parameters were identified that measure these dimensions. This paper concludes with a discussion of the implications of this review for future research and practice