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    A Conceptual Framework for Digital Transformation of Business Models: Advancing Towards Industry 5.0
    (Springer Nature Switzerland, 2026) ; ;
    Hernández-Lara, Ana Beatriz
    Digital transformation is progressing unevenly across industries, with varying levels of success influenced by organizational and sector-specific factors. Understanding where to focus investments and what type of transformation to adopt has become a crucial challenge for companies seeking competitiveness and market relevance in the digital era. This paper aims to analyze companies’ strategic decision making to foster digital transformation, conducting a literature review, and proposing a conceptual framework for digital transformation of business models. The study identifies key drivers of successful digital transformation, including digital strategy, human capital, scalability, customer focus, security and risk management. Integrating these factors, the proposed model emphasizes the strategic alignment of digital initiatives with organizational goals, fostering a culture of continuous innovation and adaptability. The findings contribute to a deeper understanding of the mechanisms and prerequisites for effective digital transformation, offering insights for organizations navigating the shift toward Industry 5.0. ©The authors ©Springer.
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    Implications of Digital Transformation on Organizational Culture in a Higher Education Institution
    Education 5.0 is a paradigm that seeks to humanize work environments by integrating technology into the processes of the educational institution. This paper aims to identify the implications that the process of digital transformation in a higher education institution has had on the organizational culture, for which a qualitative study was conducted with the participation of those responsible for the different areas of digital transformation to answer the question: What implications has the process of digital transformation in a higher education institution had on the organizational culture? It is concluded that the human factor strengthened by a robust organizational culture promotes continuous openness to technological developments and their implications in the different processes of the university task. ©The authors ©Springer.
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    A Latin American Perspective of Digital Transformation and Innovation in Organizations: An Introduction
    Digital transformation is a key component of an organization’s transformation strategy. The right technologies, people, processes, and operations allow organizations to respond faster to a changing market, adapt, take advantage of opportunities, innovate, and generate value and competitive advantages. This paper discusses the Digital Transformation (DT) in Latin America, highlighting its accelerated growth due to the COVID-19 pandemic. It explores the digital divide and inequalities between sectors, with some industries advancing faster than others. The document emphasizes the need for human-centric approaches to DT and the importance of public policies to ensure equitable access and protection. It also examines different authors’ definitions and perspectives on DT, emphasizing the importance of data-driven processes and the role of digital capabilities in organizational success. ©The authors ©Springer.
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    Toward Fair Futures? Digital Transformation and Income Disparities in the Era of Industry 5.0
    (Springer Nature Switzerland, 2025) ;
    Rosa Carolina Valdes
    Digital transformation is revolutionizing industrial production systems, offering unprecedented opportunities for economic growth and innovation. Within this context, Industry 5.0 builds on these advancements by emphasizing sustainability and social stability, promising to integrate human-centric principles into industrial development. Using a theoretical Knowledge Economy equilibrium model, this article examines the interplay between technology and human skills, demonstrating how technological complementarity can lead to wage inequality and market failures. The non-monotonic relationship between technology and wage distribution highlights the complexity of achieving socio-economic sustainability. These objectives are particularly difficult to achieve in Latin America where the digital and geographical divide is structurally wide. While Industry 5.0 aspires to foster social stability, our findings suggest that targeted government interventions will likely be necessary to address these challenges and promote a more equitable income distribution. ©The authors ©Springer.
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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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    Machine Learning Model of Digital Transformation Index for Mexican Households
    (2022)
    García, Alfredo
    ;
    Salazar, Vladimir
    ;
    Digital transformation refers to the change in all aspects of human society by the adoption of digital technologies. Different methodologies and measurements have been proposed to determine the level of digital transformation in regions or countries. In this work, we propose the creation of a digital transformation index for Mexican households using machine learning models for digital transformation measurement analysis and estimation. We include three dimensions in terms of the information and communication technologies infrastructure, availability of services, and usage. We also use a public dataset from the Mexican government to build and train three machine learning models. Experimental results validate that our methodology can deliver a digital transformation measurement using machine learning models consistently with 84% of accuracy and 84% of F1-score. We also prototype a simple web application using the best machine learning model found. We anticipate that measuring the digital transformation in companies, governments, and households allows better decisions in business intelligence and public policy. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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