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This study analyzes the impact of Information and Communication Technologies (ICT) on higher education in Baja California before and after the COVID-19 pandemic. It highlights the increased internet connectivity and the adoption of laptops as essential tools for remote education. Despite these advancements, challenges like connection failures and lack of peer interaction persist. The findings indicate a need for enhanced training and support for both students and teachers, particularly in using less familiar educational tools. The study underscores the importance of improving technological infrastructure, promoting digital literacy, and developing effective pedagogical methodologies to ensure meaningful ICT integration. Furthermore, the analysis suggests hybrid learning models combining online and face-to-face instruction could address diverse student needs and preferences. The research concludes with recommendations for continuous investment in connectivity, device access, and ongoing professional development to foster a resilient and effective educational environment.

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Education 4.0 focuses on using and teaching technological tools across different educational levels, aligning with industry advancements. Through it, students’ competencies are updated, so teachers must know how to apply them primarily. An instrument is used to succinctly measure technical, methodological, social, personal, and professional competencies to assess the current status of teachers’ competencies in the economic-administrative area within the context of Education 4.0. It is concluded that Education 4.0 is necessary for the evolution of education and the proper preparation of students to face future challenges. Additionally, updating curricula to implement this conceptualization increasingly is fundamental.

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Ecuador, the world’s leading exporter of bananas, heavily relies on traditional farming practices that contribute significantly to environmental degradation. This paper investigates using big data and machine learning to optimize banana yields in Ecuador, aiming to align economic benefits with ecological sustainability. We developed a predictive regression model to determine the optimal use of water and fertilizers, incorporating a comprehensive dataset from the Ecuadorian National Census. Despite achieving some predictive capability, the Bagged Trees model used in this study explained 7% of the variance in banana yields, confirming this paper’s exploring nature. The study highlights the potential of integrating additional environmental, genetic, and soil variables and employing advanced machine learning techniques such as neural networks and boosted trees to enhance model accuracy. Future work should focus on developing interpretable models and user-friendly decision support systems to aid farmers in making data-driven decisions, ultimately fostering more sustainable and productive agricultural practices.

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This paper presents the development and evaluation of a multi-platform communication application designed for children with nonverbal autism. Utilizing Python and deep learning models, the application, named Conectando Voces, aims to facilitate communication for children with autism by providing a user-friendly interface and voice generation capabilities. The application employs the Flet framework for building the UI, enabling deployment across various devices including mobile phones, tablets, and PCs. Voice generation is achieved through Google’s text-to-speech model, with a fallback to pyttsx3 for offline use. The validation study involved five children with varying degrees of autism and comorbidities, highlighting the app’s potential effectiveness in promoting speech. Results indicate that children with mild to moderate autism benefit significantly, while those with severe autism or additional comorbidities require further tailored support. The study underscores the importance of personalized adaptations and comprehensive support for maximizing the app’s utility in enhancing communication skills in children with autism.

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The Fourth Industrial Revolution (Industry 4.0), first introduced in 2011, has enabled manufacturing firms to integrate smart, technology-driven processes into their Product Development (PD) lifecycles. At the same time, advancements and increased acceptance of web-based platforms have enabled manufacturing leaders to leverage open innovation practices. This approach provides firms with access to pools of external knowledge and skills, accelerating their product innovation and enabling faster responses to market and consumer demands. This paper aims to examine the literature on open innovation in manufacturing, in the context of the Industry 4.0 era (i.e., since its widespread acceptance in 2014) and provides directions for future study. Through a scoping review of 891 papers collected from the Web of Science (WoS) database covering 2014-2023, co-occurrence analysis was performed using the VOSviewer software. By following this approach, four main themes were identified i.e., innovation management practices, performance measurement, strategic challenges, and the balance between innovation exploration and exploitation. Findings demonstrate a shift among firms towards collaborative and externally inclusive innovation. This study highlights several research gaps and provides practical insights for manufacturing leaders on the opportunities and barriers to open innovation adoption, outlining the importance of absorptive capacity and a balanced innovation strategy. Recommendations for future research include empirical studies on open innovation’s long-term impacts, cross-industry comparisons, and how technological advancements can be integrated into innovation strategies.

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This work conducts a literary review on how hypertension and type 2 diabetes affect teachers in Mexico, using data from the National Health and Nutrition Survey (ENSANUT). Following the PRISMA 2020 guidelines, a systematic review of existing literature has been carried out. This methodology has allowed for the consolidation of a robust theoretical framework and the development of a flowchart that shows the selection and evaluation of relevant literature, thus ensuring the transparency and replicability of the review process.Additionally, a conceptual map has been created that structures this theoretical framework, highlighting the relevance of complex thinking in the interpretation of future studies on the subject. This approach is crucial for understanding the complex interactions between health, socioeconomic, and environmental factors that influence teachers. The review focuses on establishing a solid theoretical and methodological base that supports future research and detailed analysis of these chronic conditions in the educational sector.

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Plant-based food manufacturing companies face high staff turnover rates and attendance problems. It is challenging for those companies to maintain an acceptance level of employee retention and attendance to achieve their objectives. Companies rely on front-line employees to meet production plans, but employees who do not show up at work jeopardize companies’ operations. Additional challenges, such as retaining and attracting talent after the COVID-19 pandemic, are present daily for several U.S. organizations. This study analyzes attendance data from the case study company to design an attendance policy. Attendance data suggested that nearly 60 percent of the operational workforce had attendance or punctuality problems. The research project was conducted in a small company located in the U.S. that manufactures plant-based food following the human-centered design (HCD) methodology to design a four-level attendance policy: 1) good standing, 2) improvement, 3) disciplinary, and 4) termination. The new attendance policy is designed and implemented by incorporating literature review gaps, feedback from other companies with similar workforce populations, and including the needs of the staff and not solely those of the company. After a successful project management design, training, and implementation, the expected goals are to reduce employee absenteeism, decrease the number of new hires and training hours, and increase the likelihood that the company meets its organizational goals.

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Efficient production planning and control are essential for ensuring timely deliveries and optimizing operations in the electronics manufacturing industry. This study focuses on EEC, a company specializing in producing frequency filters for telecommunications, which faces challenges due to traditional and empirical approaches to planning and control. By implementing project management methodologies such as Gantt charts and Critical Path Analysis, supported by Microsoft Project Manager, EEC aims to improve coordination between departments, reduce wastage, rework, and downtime, and enhance overall production efficiency. The results demonstrate significant improvements, with increased on-time deliveries and sales performance. Additionally, the flexibility and adaptability of these methodologies have facilitated better communication and monitoring of production activities, allowing for timely corrective actions when deviations occur. This study underscores the transformative impact of project management tools in manufacturing and their potential to drive efficiency and competitiveness in the industry.

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In this study, we examined how dynamic capabilities affect the performance and adaptability of 86 organizations in the face of technological changes. Capabilities such as opportunity sensing, seizing, organizational transformation, and resource reconfiguration were evaluated. In the data analysis, two performance clusters were identified: one with medium-low performance and another with high performance. High-performance organizations demonstrated more effective management of dynamic capabilities, quickly adopting new technologies and effectively reconfiguring their resources. An analysis of variance (ANOVA) revealed that company size significantly influences performance, with larger companies managing technological changes better. These results demonstrate the importance of dynamic capabilities in improving organizational performance and adaptability. They suggested we develop specific strategies based on their size to optimize technology management in different industrial contexts.

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The ethnic diversity of the Colombian Caribbean is reflected in its rich cultural manifestations, which are at risk due to digital divides in the artisanal sector. While some argue that technology threatens artisanal practices, others highlight the lack of knowledge transmission and documentation as the real threats. Public and community initiatives aim to preserve ancestral knowledge, opening opportunities for design and other disciplines to support traditional crafts. This study focuses on the Chimichagua community in Cesar, Colombia, analyzing cultural heritage promotion strategies to identify findings and methodologies that integrate social marketing, collaborative design, and heritage conservation. An ethnographic approach is used to understand community needs and motivations, enabling the development of an ICT-based strategy to promote material culture. The research includes a foresight process using the «Three Tomorrows of Postnormal Times» methodology, horizon scanning for future forces, and the «Pace Layering» framework to understand ecosystem changes over time. The study prioritizes four forces—Education, Demographics, Media & ICTs, and Geopolitics—to strengthen digital capacities and prevent the loss of artisanal vocation, proposing strategies to stimulate local development through culture and innovation.

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Nowadays, some laboratories perform elastic properties tests for concrete or rock cores using equipment manufactured 50 years ago. The original data collection procedure uses analog and manual recordings, which can cause inaccuracies in the measurements taken during these trials The process is tedious and updated since each trial’s measurement data is recorded manually. In this context, this study systematizes the process and proposes an automated data acquisition and recording system for this type of equipment, followed by a case study presenting a rock compression test.

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This paper explores the multifaceted impact of Artificial Intelligence (AI) on the workplace, focusing on worker performance, job satisfaction, and the nuanced perceptions of job security across different demographic groups. Through an analysis of data from OECD 2022’s AI surveys of employers and workers, we investigate three hypotheses: the positive impact of AI adoption by employers on worker performance, the enhancement of work performance and job satisfaction through AI-related training and upskilling, and the varied perceptions of AI’s impact on job security and working conditions among different demographic groups. Our findings reveal that, contrary to common concerns, AI’s integration into the workforce can improve decision-making, efficiency, and even employee happiness, if employees are adequately trained and engaged in AI’s implementation process. The study underscores the importance of strategic AI integration and training to harness its full potential for enhancing organizational performance and employee well-being.

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The Radio Frequency (RF) industry stands as a cornerstone of contemporary communication systems, enabling wireless connectivity across devices and networks. This sector’s growth, driven by the demand for seamless communication and the Internet of Things (IoT), faces a constant push for innovation, network optimization, and secure transmission. XYZ Tech Solutions, a distinguished player in the RF domain, leads in advanced RF component design and development. With a history spanning decades, the company pioneers cutting-edge solutions for wireless communication. Its customer-centric ethos has positioned it as a preferred partner in sectors ranging from telecommunications to aerospace. A holistic FODA (SWOT) analysis unveils the strengths in technical prowess, skilled personnel, and successful products. Weaknesses, such as limited global presence and supplier dependencies, require attention. The convergence of IoT and 5G presents opportunities while competition and evolving standards pose potential threats. Embedded in the firm’s strategy is Design Thinking, a user-centered innovation methodology to drive innovation. This framework anchors product development, market strategies, and user experiences, ensuring alignment with emerging trends. In a landscape marked by rapid shifts, Design Thinking propels the firm as a frontrunner in the RF industry, poised to meet evolving demands and pioneer RF innovation.

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Research on happiness has witnessed remarkable growth in recent decades. Understanding the factors that influence citizens’ well-being is crucial for devising effective government policies aimed at enhancing the quality of life for citizens in Mexico. Regrettably, this subject remains largely underexplored in the Mexican context, with limited studies focusing on the topic. This study conducts a comprehensive review of current literature in the realms of happiness, social networking, psychological factors, and socioeconomic factors, with the aim of identifying the key variables associated with the happiness of citizens in Mexico. Data from the 2021 National Survey of Self-reported Well-being (ENBIARE) in Mexico was analyzed to achieve this. Employing both exploratory and confirmatory factor analysis, a rigorous examination of this dataset was conducted to pinpoint the principal factors that impact the well-being of Mexican citizens.

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Artificial Intelligence (AI) is transforming both industrial workplaces and society. The aim of this study is twofold: (1) to examine the dynamic interplay between AI adoption and the well-being of employees, and (2) to examine the influence of AI on decision-making processes and its potential to enhance job satisfaction. Using data collected from the Organisation for Economic Co-operation and Development (OECD) database of the impact of AI on the workplace, Exploratory Factor Analysis (EFA) is used to delve into these intricate relationships. Contrary to the results of previous studies, our findings reveal that AI does not adversely affect happiness levels; instead, it is found to be a valuable tool, facilitating more effective decision-making, and offering promise for boosting employee well-being. The study contributes to the current understanding about AI’s multifaceted impact on the workforce, offering empirical insights that challenge prevailing concerns and underscore the potential benefits. The paper concludes by offering implications for workplace managers on the positive role that AI can play in shaping the future of work and employee satisfaction.

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Nowadays, the integration of voice services into data networks is widespread and the use of voice codecs allows the voice signal data to be compressed in the transmitter and decompressed in the receiver. Key considerations for these systems include efficiency from various perspectives. This study focuses on the implementation and evaluation of the G.729 voice codec using SIMD instructions and its subsequent impact on the Asterisk system. The application of this technology is proposed in financial environments and other contexts where ICT is under a process of development and nurture.

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The first approach to the concept of conflict and reconciliation between work and family took place in developed countries, at the beginning of the 1970s. After the change of the family reference model in the industrial era – in which the classic family structure predominated – to the new structures developed in recent years, it is when the subject takes an exponential relevance. This article aims to examine the literature on the workfamily conflict, as well as in policies taken by technology-based companies to reconcile conflict and whether these policies improved their productivity. Likewise, it reinforces the vision of the company based on its resources where an internal resource can be a source of sustained competitive advantage. This work is made up of the following way: the first part, the concept of balance, affections, family and its evolution; second, work-family conflict and role, compensation and conflict theories; third, work-family conciliation, as well as some policies that are used; fourth part, methodology, and conclusions.

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This document addresses the issue of collective intelligence, complex knowledge, and complexity theory applied to technology-based organizations. For this, a review of the literature on the subject of complexity theory, complex knowledge, collective intelligence, and technology-based organizations is made. An analysis of four approaches to complexity theory that help improve the study of organizations from the consideration of turbulent and changing environments that require a high capacity for adaptation, innovation, and rapid assimilation of change will be developed. Finally, there is a need to innovate in the study of companies and to consider them epistemologically as independent entities that make up a complex adaptive system and that, in essence, are grouped together to consolidate their ability to adapt and adjust to market change and survival.

Keywords

IT-Based Firms, Knowledge Complexity, Collective Intelligence

Abstract:

This document addresses the issue of collective intelligence, complex knowledge, and complexity theory applied to technology-based organizations. For this, a review of the literature on the subject of complexity theory, complex knowledge, collective intelligence, and technology-based organizations is made. An analysis of four approaches to complexity theory that help improve the study of organizations from the consideration of turbulent and changing environments that require a high capacity for adaptation, innovation, and rapid assimilation of change will be developed. Finally, there is a need to innovate in the study of companies and to consider them epistemologically as independent entities that make up a complex adaptive system and that, in essence, are grouped together to consolidate their ability to adapt and adjust to market change and survival.

Keywords:

IT-Based Firms, Knowledge Complexity, Collective Intelligence

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This research is focused on Industry 4.0 or better known as the 4th industrial revolution. In the initial section, the proposition is to analyze how the implementation of sectoral collaboration, intellectual capital and public policies affect and influences the development of Industry 4.0 in technology-based firms in the Tijuana-San Diego area, then the problem statement, research questions, hypotheses, objectives and justification of the research were carried out. Afterwards, the research foundation was developed to support and validate the information from the theoretical and contextual framework. A survey of 45 questions was carried out and it was aimed at employees of technology-based companies, in which it seeks to know if the employees are aware of the variables we study and if new technologies are being implemented in their organization. The survey was conducted with a total of 384 employees using an online questionnaire. To validate the data in the SPSS program and find out if the questions have a high Cronbach’s Alpha. The analysis of the survey was carried out through a quantitative study to later have the conclusions of the research in general and be able to know if the employees know and apply the industry 4.0 Among the results the correlation of the study variables was confirmed.

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The study of clusters and Innovation Networks are issues that have grown in importance for SMEs in recent decades, however, there is limited information on how SMEs form alliances and work in networks, because it is at an early stage. In order to understand how SME’s interact in a dynamic context and what their innovation practices are, we present a conceptual framework. Research experiences are presented in innovation networks using the wine industry example, in order to illustrate the dynamics in this industry.

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This article analyses the Knowledge Management (KM) and Project Management (PM) practices of manufacturing firms based in Baja California to determine their level of importance in generating competitive advantage in the manufacturing sector in Baja California. Key questions researched in this paper are: 1) How is KM managed through information technologies and organisational systems, ensuring empirical and industrial success? and 2) How do PM strategies increase competitiveness in the Baja California manufacturing sector? The research analyses currently-implemented management systems used for improved KM and PM, based on knowledge and new advantage orientation. One of the limitations found in this research is that several firms do not adopt standardised policies relating to knowledge procurement and development. Although competitiveness is perceived as vital for organisations, the combination of KM and PM are not yet fully developed and integrated into organisational processes to increase competitiveness. It is found that KM and PM have influence and correlations with competitiveness.

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