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    Dynamics of small Latin American techno-scientific worlds. A view from the triple helix
    (Emerald, 2020-06-10)
    Purpose This study aims to compare the techno-scientific systems of four Latin American countries: Panama and Costa Rica for Central America and Uruguay and Paraguay for South America. The overall objective is to explore their performance in terms of generation of knowledge in science and technology using the triple helix model as a framework. Design/methodology/approach The methodological approach applied was scientometric and bibliometric. The management of the techno-scientific governance in each country was analysed; input, process and output indicators were applied and a table of correlated factors was generated to determine the capabilities of each. The triple helix was used as a framework, as the study assessed the capabilities of the three actors in this model (academia, industry and government). Findings By studying this type of small Latin American techno-scientific worlds and the interrelationships between the three actors examined, it can be seen that there is a limited supply of certified knowledge and weak interactions between these helixes and this restricts the development of innovation initiatives. Originality/value There is little evidence of evaluations of the techno-scientific systems of peripheral countries and even less of the smaller ones. By cross-referencing governance information with indicators and generating a multi-factorial matrix, new knowledge is being generated that will contribute both to the general knowledge and to the improvement of public policy decisions in these countries.
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    Scientific mapping on the convergence of innovation and sustainability (innovability): 1990–2018
    (Emerald, 2020-09-17)
    Purpose Innovation and sustainability are key in today’s competitive world. It is no longer possible to conceive an organization that has not incorporated these two elements for it to become successful. The longitudinal bibliometric study seeks to examine the topography of innovation and sustainability to determine whether there is already a terminological integration that could be defined as innovation capability in a sustainable way. The objective of this work is to identify the growth trajectories of the literature, the countries considered as knowledge nodes, the most influential authors, the classification of journals, clusters and collaborative networks measured by co-citation, the analysis by keywords, countries and knowledge areas. Design/methodology/approach The study is developed under the bibliometric approach, and the period 1990–2018 was considered. The steps taken were as follows: 16 keywords of each term were identified and selected in 3 methodological layers by a panel of experts; an algorithm was designed and applied to identify these selected keywords in the titles, abstracts and keywords using terms in the Web of Science (WoS) of Clarivate Analytics to contrast them; and a review in specialized journals was carried out in the first quartile (Q1) of the WoS until 2018. Findings The most relevant finding of the study lies in the sustained growth of the convergence of the terms innovation and sustainability. In addition, the longitudinal review of the two concepts also shows that innovation is directly linked to sustainability, suggesting that the convergence of concepts and practices becomes part of the strategy of companies seeking to be competitive and sustainable. Practical implications At the management level, this research seeks to present a definition of innovability based on the convergence of the concepts of innovation and sustainability. This new concept can be applied as a management strategy for companies seeking to be competitive and sustainable. Theoretical and practical evidences that reinforce this construct are presented. At the academic level, the manuscript shows a longitudinal review on innovation and sustainability, a relevant scientific mapping and, finally, a new theoretical and practical concept is proposed that seeks to create strategies for competitiveness in a sustainable way. At the level of society, the study contributes to the sustainable development goals. Originality/value The results show that a field of studies on innovation is emerging that has a high potential to position itself as a new space for research. The concept of “innovability” is proposed.
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    The quintuple helix of innovation model and the SDGs: Latin American countries’ case and its forgotten effects
    (MDPI AG, 2021-02-02)
    The sustainable development of countries is associated with a set of actions that must be implemented in the long term. In this process, society must be a valid partner in the decisions that are made. Studies show the interrelationship between the Sustainable Development Goals (SDGs), which increases uncertainty and makes decision-making more difficult. On the other hand, the Quintuple Helix of Innovation Model (QHIM) provides an analytical framework to explain the sys-tems’ interactions. The motivation of the study lies in knowing the relationships between the variables that affect SDGs. The manuscript aims to broaden the discussion on sustainable development and propose two models to support decision making. The first one suggests 20 indicators linked to the QHIM with the SDGs in Latin American countries. The second identifies the forgotten effects through the application of a Fuzzy Logic algorithm. The main contribution is to know these effects and to support decision-making. The research carried out can be classified as applied, with the ex-planatory objective and the combined approach (quantitative-qualitative), modeling and simula-tion, and case study methods. The QHIM results indicate that Chile leads the ranking, followed by Brazil, Mexico, Peru, and Colombia. Also, it reveals the importance of correctly identifying cause-effects by seeking harmony between systems. A limitation would be the number of variables used. The study indicates promising lines of research.
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    Adoption of big data analytics and its impact on organizational performance in higher education mediated by knowledge management
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-01)
    Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environ-ments. In this context, a large volume of data is being generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining valuable knowledge. The of this paper is to investigate the factors that influence the adoption of big data analytics and evaluate the relationship it has with performance and knowledge management, taking into consideration that this technology is in its initial stages and that previous research has provided varied results depending on the sector in focus. To address these challenges, a theoretical framework is developed to empirically test the relationship of these variables; 265 members of universities in Latin America were surveyed, and structural equation modeling is used. The findings identify compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics, and their positive relationship is tested with knowledge management processes and organizational performance. This study provides practical guidance for decision-makers involved in or in charge of defining the implementation strategy of big data analytics in higher education institutions.
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    Drivers of the sharing economy that affect consumers’ usage behavior: Moderation of perceived risk
    (MDPI, 2022-12-01)
    In the access to peer-to-peer sharing of goods and services through a technology platform, which is known as the sharing economy, there is no consensus on the factors that motivate consumers. This study aimed to investigate the moderating effect of perceived risk on consumers’ participation in the sharing economy in a developing country. Following a quantitative approach, a survey was conducted among 400 consumers in the Metropolitan Zone of Puebla City, Mexico. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. Economic benefits, enjoyment, and trust drove the usage behavior of consumers in the sharing economy. In addition, perceived risk significantly moderated the relationships that usage behavior has with the economic benefits and the feeling of the community. As predicted by social exchange theory, the consumers made choices based on a subjective cost–benefit analysis, showing flexibility in the type and amount of rewards. This study contributes to knowledge about customer behavior in the context of the sharing economy.
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    State and dynamics of the innovative performance of medium and large firms in the manufacturing sector in emerging economies: The cases of Peru and Ecuador
    (Multidisciplinary Digital Publishing Institute (MDPI), 2022-12-30)
    The purpose of this study was to analyze the current state and dynamics of the innovative behavior of medium and large manufacturing firms in Peru and Ecuador. It has been shown that the factors that enhance or enable the possibilities of innovation in organizations can be internal or external. This study took a quantitative approach, and regression models were applied to samples composed of firms. The relationships between external factors and business resources following the implementation of innovation were analyzed, as was the impact that these factors had on sales performance, considering the effect of the size and age of the firms. The innovations most implemented in firms in Ecuador were processes, and in Peru, organizational innovations were predominant. There were no external factors or business resources statistically related to these types of innovation for each country. For Peruvian firms, the age of the firm presented an inverse relationship to its performance. The study confirms the results of other studies conducted in Peru, and for Ecuador, these findings represent one of the first contributions on this topic. This study contributes to the discussion of the effects, in emerging Latin American countries, of a firm’s age on its ability to innovate.
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    Bibliometric mapping of techno-scientific systems of small Latin American worlds
    (Emerald Publishing Limited, 2022-01-07)
    Purpose The purpose of this study was to compare the evolution of the scientific production of Costa Rica and Panama, from Central America and Paraguay and Uruguay, from South America in the period 2000–2018. To achieve this, first, a bibliometric mapping was performed using the Web of Science (WoS) database. Second, the triple helix model was used to determine whether there are similar patterns or marked differences in the distribution of this type of publications in the helices of government, academia and industry. Design/methodology/approach The steps followed in this study were as follows: design and application of an algorithm to perform WoS downloads; download the publications using the country descriptor; process data using R and VOSviewer; design of a profile of the selected countries based on indicators; and use of the triple helix model to determine the weight of the scientific production. Findings The data found corroborate that the small technoscientific worlds examined do not have the minimum Science & Technology personnel nor the capabilities in infrastructure and technological equipment, and that expenditure in this area is minimal and for these reasons, the production in the WoS is low. Originality/value Studying the small technoscientific worlds from a bibliometric perspective allows generating inputs to diagnose the state of these countries in this area, as no evidence of similar studies in these countries was found in Scopus or the WoS. Likewise, examining scientific production from the triple helix model makes it possible to identify the weaknesses of each actor, and the results can contribute to the design of better public policies.
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    Transfer of knowledge from universities to organizations in the Ecuadorian context
    (Emerald Publishing Limited, 2022-05-23)
    Purpose This study aims to examine the influence of absorptive capacity and learning motivation in the process of knowledge acquisition in students of higher education institutions and subsequently evaluate its effect on the transfer of knowledge in the companies where students work, and the possible moderating effect of students’ social skills and the level of work autonomy. Design/methodology/approach The research design is non-experimental, cross-sectional correlational-causal, with a quantitative approach and the data collected are from primary sources. The variables autonomy and social skills are used on the perceptions of students in continuing education in programs related to third- or fourth-level business and administration careers in universities in Ecuador. Findings With the results obtained, it can be concluded that knowledge absorption capacity and learning motivation, as reflective constructs, have a significant effect on knowledge acquisition, and knowledge acquisition has a significant effect on transfer of knowledge, in part-time students, of the administrative area, studying in higher education institutions in Ecuador and working full time. Originality/value This study identifies the significant relationship between the variables of job autonomy and social skills and between the acquisition and transfer of knowledge. In addition, it is evident that the variables of job autonomy and social skills are significantly related.
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    Scientific mapping of research on nature-based solutions for sustainable water management
    (Springer Science and Business Media B.V., 2022-09-01)
    Nature-based solutions (NBS), including the protection and restoration of ecosystems, can provide a major contribution to global sustainable water resources management (WRM) in both urban and rural areas, yet the knowledge base essential for facilitating widespread uptake is lacking. The objective of this paper is to identify the main developments and trends in NBS-related research over time, including areas for future research. A bibliometric approach is used to quantitatively analyze relevant publications indexed in the Web of Science database from 1990 to 2018. The study identifies five thematic hotspots within the research landscape and several areas for future research, including the evaluation of ecosystem services provided, design and implementation at the landscape scale and consideration of cultural aspects, to push forward operationalization.
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    Bibliometric review of research on decision models in uncertainty, 1990-2020
    (John Wiley and Sons Ltd, 2022-10-01)
    Societies experience intense and frequent changes in diverse environments, which increase uncertainty and complexity in decision-making. The decision-maker looks for alternatives to reduce risks and face these new challenges. In this context, science plays a vital role in proposing new solutions. The article aims to: (i) to carry out a bibliometric review of decision models in uncertainty through scientific mapping and performance analysis between 1990 and 2020; (ii) to know the scientific progress of 17 models that specialists validated. The Web of Science database and the VOSviewer, R, and Python software analyzed 26,835 articles in nine bibliometric indicators. The results revealed a positive trend of the publications in the analyzed models, being the Analytic Hierarchical Process the most used. Other findings showed China as the country with more scientific collaborations. There is enormous potential for future lines of research on the subject.