Now showing 1 - 10 of 46
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    Branding interno en una empresa de servicios en México
    El objetivo de la presente investigación es analizar los procesos de branding interno de una empresa de servicios del conocimiento en México, de manera que estos permitan fortalecer sus ventajas competitivas a través del liderazgo de su capital humano. Lo anterior se logra a través de dilucidar si la capacitación y motivación hacia la marca influyen positivamente en el desempeño de esta. La estrategia metodológica es de tipo cuantitativo a través de herramientas estadísticas y de machine learning. La evidencia muestra que la alineación por parte de los empleados con los valores de la marca muestra un impacto positivo y significativo con su motivación a favor de la marca y el desempeño de esta. Los factores más significativos dentro de la dimensión de compromiso es el binomio capacitación y liderazgo de los jefes.
      1  14
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    Buenas prácticas de gestión de la innovación en centros de investigación tecnológica
    (Instituto de Investigaciones Eléctricas, 2014) ;
    Solleiro, José Luis
    Los institutos y centros públicos de investigación (ICPI) juegan un papel estratégico en los Sistemas Nacionales de Innovación (SNI) al generar conocimiento tecnológico susceptible de ser transferido a la industria para, así, traducirlo en valor económico y social tanto para los usuarios y clientes como para la propia institución. La concreción de este potencial requiere que los ICPI adopten y ejecuten nuevas prácticas de gestión. de la innovación que les permitan optimizar sus procesos de creación, captación, transferencia y aplicación de conocimiento
      13
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    La industria farmacéutica en México
    (CONACYT, 2013) ;
    Solleiro, José Luis
    En este capítulo se presenta la caracterización de la industria farmacéutica mexicana, con enfoque específico en la competitividad de la industria biofarmacéutica
      25
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    Knowledge Management and Innovation in the Furniture Industry in Mexico
    (Springer, 2023)
    Castillo-Girón, Víctor Manuel
    ;
    Ayala-Ramírez, Suhey
    ;
    ;
    Knowledge is an asset for all companies. Consequently, learning and accumulating new knowledge over time constitute the essence of the innovation process. Thus, knowledge management is of the utmost importance. This research aims to analyze and propose a knowledge management model for innovation through Bayesian networks with machine learning techniques in the furniture industry. We develop a model where we identify and quantify the impact of critical factors on the generation of innovative value. The results show that the most relevant factors for optimal knowledge management in the furniture industry are suppliers, distributors, the enterprises’ business model structure, quality and risk management, strategic planning, value system model, national and international markets, e-commerce, and human capital. ©Springer ©The authors.
      5
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    Internal Branding Processes in a Fashion Organization: Turning Employees into Brand Ambassadors
    (2024) ;
    Sádaba, Teresa
    ;
    Mir Bernal, Pedro
    ;
    ;
    López-Sánchez, Oziel
    <jats:p>This research aims to empirically examine the internal branding processes implemented by a global sports fashion firm to turn all employees into competent brand ambassadors. Brand-oriented training was hypothesized as an antecedent of salesperson brand identification and brand commitment, which drive brand-aligned behavior, the critical trait of employee brand ambassadors. These hypotheses were tested by surveying 141 corporate and retail employees of a global sportswear fashion brand's regional operations in Mexico. The principal conclusion is that brand-oriented training proves a significant driver of salesperson brand identification. Furthermore, brand identification drives brand commitment and brand-aligned behavior among all company employees, not just salespersons</jats:p>
    Scopus© Citations 1  22
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    Transformación digital en ciencias administrativas y contabilidad: tendencias de investigación en Scopus
    (Pro-Metrics, 2024)
    Salgado-García, Jorge Arturo
    ;
    ;
    González-Zelaya, Vladimiro
    Objective. Identify thematic trends in digital transformation in administrative sciences and accounting. Design/Methodology/Approach. A bibliometric analysis was performed considering 7,519 documents indexed in the Scopus database between 1970 and 2023. The analysis was performed using the authors' keywords to identify thematic trends. Results/Discussion. Thematic cores related to Covid-19, digital marketing, emerging technologies, innovation, industry 4.0, and Fintech were identified. Conclusions. Covid-19 promoted digital transformation and research in this field applied to administrative sciences and accounting. However, the advancement of digital technologies has influenced scientific production. Likewise, other trends, such as sustainability, converged in the generation of knowledge. © Iberoamerican Journal of Science Measurement and Communication.
      10Scopus© Citations 11
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    Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico
    (Frontiers Media SA, 2025) ; ;
    Leyva-Hernández, Sandra Nelly
    Introduction: Knowledge management is essential to ensure the sustainability of rural communities and small producers since it generates value for innovation, productivity, and competitiveness. The aim of this study is to identify relevant factors for adequate decision-making in managing knowledge in the Mexican mezcal industry and its impact on developing rural communities and small producers - mezcaleros. For this purpose, a decision-making model for managing scientific and ancestral knowledge is created to support links with universities, research centers, and rural communities to accelerate innovation and competitiveness in this sector. Methods: The analysis methods were carried out through decision-making, machine-learning techniques, and fuzzy logic. Results: The Bayesian Network model suggests that the preceding variables to optimize the Mezcaleros Knowledge Management are the Mezcaleros Indigenous community, the Denomination of Origin, Scientific and Ancestral Knowledge, Waste Management and Use, and Jima. Discussion: This knowledge management model aims to guide small producers to be more productive and competitive through the support of a facilitator. ©The authors ©Frontiers in Artificial Intelligence ©Frontiers Media SA.
      16  16
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    Decision-making model in ancestral knowledge management: The case of the Raicilla in Mexico
    (2024) ; ;
    Suhey Ayala-Ramírez
    ;
    Víctor Manuel Castillo-Girón
    <jats:p>Ancestral knowledge is essential in the construction of learning to preserve the sense of relevance, transmit and share knowledge according to its cultural context, and maintain a harmonious relationship with nature and sustainability. The objective of this research is to study and analyze the management of ancestral knowledge in the production of the Raicilla to provide elements to rural communities, producers, and facilitators in decision-making to be able to innovate and be more productive, competitive, sustainable, and improve people’s quality of life. The methodological strategy was carried out through Bayesian networks and Fuzzy Logic. To this end, a model was developed to identify and quantify the critical factors that impact optimally managed technology to generate value that translates into innovation and competitive advantages. The evidence shows that the optimal and non-optimal management of knowledge, technology, and innovation management and its factors, through the causality of the variables, permits us to capture the interrelationship more adequately and manage them. The results show that the most relevant factors for adequate management of ancestral knowledge in the Raicilla sector are facilitators, denomination of origin, extraction and fermentation, and government. The proposed model will support these small producers and help them preserve their identity, culture, and customs, contributing greatly to environmental sustainability.</jats:p>
      42Scopus© Citations 5
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    University–Industry Collaboration: A Sustainable Technology Transfer Model
    Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
      1  18Scopus© Citations 29
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    Intersection of Banking, Social Welfare, and Digital Transformation: The Mexican Case, a Latin American Perspective
    (Springer Nature Switzerland, 2025) ;
    González-Rossano, Carlos
    ;
    The banking system has been instrumental in developing economies throughout history, as it has effectively directed the funds collected from their clients’ savings and investments into productive activities of individuals and enterprises, financed consumer goods and current expenditures, housing and infrastructure projects, and provided market liquidity. However, in Latin America and amid digital transformation, banks face the dual challenge of modernizing operations while addressing socio-economic disparities. This study shows that fluctuations in operational measurements of top Mexican banks significantly affect changes in the widely used global measure of social welfare, the Human Development Index. We evaluated findings by using a machine learning prediction model and a panel data estimation, and underline how digital transformation in banking using emerging technologies to increase public access to financial services, especially credit loans for marginalized populations, can improve customer experience and financial inclusion to exploit this correlation. This approach provides a framework for understanding the potential of digital technologies to drive competitive advantages and social benefits across Latin America. ©The authors ©Springer.
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