Data and Metadata
https://dm.saludcyt.ar/index.php/dm
Data & MetadataEditorial Salud, Ciencia y Tecnologíaen-USData and Metadata2953-4917<p>The article is distributed under the <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0 License</a>. Unless otherwise stated, associated published material is distributed under the same licence.</p>Overview on Data Ingestion and Schema Matching
https://dm.saludcyt.ar/index.php/dm/article/view/219
<p>This overview traced the evolution of data management, transitioning from traditional ETL processes to addressing contemporary challenges in Big Data, with a particular emphasis on data ingestion and schema matching. It explored the classification of data ingestion into batch, real-time, and hybrid processing, underscoring the challenges associated with data quality and heterogeneity. Central to the discussion was the role of schema mapping in data alignment, proving indispensable for linking diverse data sources. Recent advancements, notably the adoption of machine learning techniques, were significantly reshaping the landscape. The paper also addressed current challenges, including the integration of new technologies and the necessity for effective schema matching solutions, highlighting the continuously evolving nature of schema matching in the context of Big Data.</p>Oumaima El HaddadiMax ChevalierBernard DoussetAhmad El AllaouiAnass El HaddadiOlivier Teste
Copyright (c) 2024 Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste
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2024-02-082024-02-08321921910.56294/dm2024219Technological disinformation: factors and causes of cybernaut identity theft in the digital world
https://dm.saludcyt.ar/index.php/dm/article/view/133
<p>The contribution of technology in the development of our daily activities has taken a giant step in the dependence of the citizen-technology-society with the integration of the Internet without glimpsing a border. It is therefore necessary to safeguard personal information if you have an active digital life. The identification of the factors and causes that lead to identity theft is a requirement for the technical and operational literacy of citizens, who are easy victims. This article aims to analyze some aspects of causes and factors of identity theft of citizens of the municipality of the center of the State of Tabasco. A quantitative instrument was designed, applied via Internet to a population of 3,158. The results show that citizens are unaware of several aspects of security in the environment of digital services, which, depending on gender, age and level of education, are captive in some scenario of digital insecurity.</p>Gilberto Murillo GonzálezGermán Martínez PratsVerónica Vázquez Vidal
Copyright (c) 2023 Gilberto Murillo González, German Martínez Prats, Verónica Vázquez Vidal
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2023-12-292023-12-29313313310.56294/dm2023133Digital Challenges: The Need to Improve the Use of Information Technologies in Teaching
https://dm.saludcyt.ar/index.php/dm/article/view/216
<p><span style="font-weight: 400;">In the post-pandemic scenario, a study was conducted at I.E. 50499 Justo Barrionuevo Álvarez in Cusco, Peru, to investigate the relationship between the use of information technologies and digital competencies among teachers. With a sample of 54 teachers, a structured questionnaire was administered to assess their competencies. The results revealed a direct positive correlation between the use of technologies and digital competencies, with a Spearman's Rho coefficient of 0.877, indicating a significant relationship. Correlations between the use of information technologies and the dimensions of digital competencies ranged from moderate to high. Significant correlations were observed in areas such as problem-solving (Rho=0.457), information and digital literacy (Rho=0.633), and security (Rho=0.743), among others. These findings suggest that, despite limited experience and limited knowledge of digital technologies among teachers in the institution, there is a notable relationship between the use of these technologies and their digital competencies. This study underscores the need for further training in information technologies for teachers in non-modernized urban contexts and for those who are older adults with limited prior experience in the digital domain. Enhancing digital competencies is crucial for adapting to the educational challenges in this new era of education</span></p>Lida Vásquez-PajueloJhonny Richard Rodriguez-BarbozaKarina Raquel Bartra-RiveroEdgar Antonio Quintanilla-AlarcónWilfredo Vega-Jaimeduardo Francisco Chavarri-Joo
Copyright (c) 2024 Lida Vásquez-Pajuelo, Jhonny Richard Rodriguez-Barboza, Karina Raquel Bartra-Rivero, Edgar Antonio Quintanilla-Alarcón, Wilfredo Vega-Jaime, Eduardo Francisco Chavarri-Joo
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2024-02-092024-02-09321621610.56294/dm2024216Validation and invariance of an Individual Work Performance Questionnaire (IWPQ-P) in Peruvian Nurses
https://dm.saludcyt.ar/index.php/dm/article/view/259
<p>Background: Performance evaluation is essential to ensure quality healthcare services, especially in the field of nursing. Objective: The objective of this study was to analyze the factorial structure, reliability, and invariance by sex and age of the work performance scale in Peruvian nurses. Methods: Confirmatory factor analysis (CFA) was conducted to evaluate the internal structure of the scale, and psychometric properties including reliability and convergent validity were determined. Additionally, factorial invariance was evaluated according to participants' sex and age. Results: The CFA supported the structure of three factors (Task Performance, Counterproductive Behaviors, Contextual Performance) and showed adequate and stable psychometric properties for a 12-item version (: χ2 = 231.09, df = 78; CFI = 0.97, TLI = 0.96, RMSEA = 0.06 (90% CI: 0.05-0.06), and SRMR = 0.03). Strict factorial invariance was demonstrated for both sex and age, and adequate internal consistency was found for each dimension, as well as convergent validity. Conclusions: The work performance scale, in its 12-item version (IWPQ-P), is a valid and reliable measure for evaluating work performance in Peruvian nurses. Its factorial invariance by sex and age makes it a useful tool for future research and practical applications in nursing performance evaluation.</p>Irma Chalco-CcapaGaby Torres-MamaniMardel Morales-GarcíaAlcides A Flores-SaenzLiset Z. Sairitupa-SanchezMaribel Paredes-SaavedraWilter C. Morales-García
Copyright (c) 2024 Irma Chalco-Ccapa, Gaby Torres-Mamani, Mardel Morales-García, Alcides A Flores-Saenz, Liset Z. Sairitupa-Sanchez, Maribel Paredes-Saavedra, Wilter C. Morales-García
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2024-03-132024-03-13325925910.56294/dm2024259Resource allocation on periotity based schuduling and improve the security using DSSHA-256
https://dm.saludcyt.ar/index.php/dm/article/view/193
<p>Cloud computing has gained popularity with advancements in virtualization technology and the deployment of 5G. However, scheduling workload in a heterogeneous multi-cloud environment is a complicated process. Users of cloud services want to ensure that their data is secure and private, especially sensitive or proprietary information. Several research works have been proposed to solve the challenges associated with cloud computing. The proposed Adaptive Priority based scheduling (PBS) focuses on reducing data access completion time and computation expense for task scheduling in cloud computing. PBS assigns tasks depending on its size and selects the minimum cost path for data access. It contains a task register, scheduler, and task execution components for efficient task execution. The proposed system also executes a double signature mechanism for data privacy and security in data storage. This study correlates the perfo}rmance of three algorithms, PBS, (Task Requirement Degree) TRD and (recommended a Risk adaptive Access Control) RADAC, in terms of task execution time and makespan time. The experimental results demonstrate that PBS outperforms TRD and RADAC in both metrics, as the number of tasks increases. PBS has a minimum task execution time and a lower makespan time than the othertwo algorithms</p> <p> </p>K.Prathap KumarR. Rohini
Copyright (c) 2023 K.Prathap Kumar, R. Rohini
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2024-02-082024-02-08319319310.56294/dm2024193A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis
https://dm.saludcyt.ar/index.php/dm/article/view/238
<p>The aim of this study is to derive the important factors that influence levels of happiness in Korea, and to identify which factors are particularly important among these influencing factors. To achieve this goal, topic modelling analysis, machine learning analysis and neural network analysis methods were utilized. The Netminer 4.5 program was used for topic modelling analysis and machine learning analysis, and SPSS MODELER 18 was used to perform neural network analysis. Two types of analysis data were used in this study. The first consisted of 1,000 papers relating to happiness published in academic journals managed by the Springer publishing company, which were used to derive happiness-influencing factors. The second consisted of a survey conducted in 2020 by the Community Well-being Center of the Graduate School of Public Administration at Seoul National University in Korea. A total of 16,655 people responded to this survey. The analysis results of the study are as follows. Important variables that affect the level of happiness of Korean residents are: family life, social status, income, health, and perceptions of inequality. Analysis using neural network analysis of the most important factors influencing happiness showed that satisfaction with family life had the most important influence. This suggests that policies that can improve the quality of family life, such as family-friendly work environments, childcare support, and domestic violence prevention and response programmes, will become important in the future.</p>Ji-Hyun JangNemoto Masatsuku
Copyright (c) 2024 A
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2024-03-142024-03-14323823810.56294/dm2024238Datamart for the analysis of information in the sales process of the company WC HVAC Engineering
https://dm.saludcyt.ar/index.php/dm/article/view/184
<p>Introduction: Information has become a crucial asset for companies in decision making and performance evaluation. Information technologies, such as Business Intelligence, allow data to be converted into relevant information. The implementation of a Datamart, a specialized database, stands out as a solution to analyze specific data from a business area.<br />Objective: The main objective is to determine how the implementation of a Datamart affects data analysis in the sales area of the company.<br />Method: A bibliographic review of various sources was carried out using the PICO keywords. In addition, filters were applied to limit the search to relevant articles published in the last 5 years in Spanish or English. Then, 31 relevant documents that highlighted the implementation of Datamarts in the sales area were evaluated.<br />Results: Predominant Datamart development methods were identified, such as the Kimball and Hefesto methodologies. Likewise, effectiveness was measured through indicators such as processing time, report generation, user satisfaction and availability of information.<br />Conclusions: In conclusion, a well-implemented Datamart can be a key tool to improve data management and analysis in the sales area of a company.</p>Luz Castillo-CorderoMilagros Contreras-ChihuánBrian Meneses-Claudio
Copyright (c) 2024 Luz Castillo-Cordero, Milagros Contreras-Chihuán, Brian Meneses-Claudio
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2024-01-112024-01-11318418410.56294/dm2024184Automatic Mobile Learning System for the Constant Preparation of the Student Community
https://dm.saludcyt.ar/index.php/dm/article/view/221
<p>Introduction: the events that occurred with the pandemic caused a drastic change in all activities with direct contact due to the high risk of contagion, with educational centers being affected by the closure measures and the imposition of virtual classes to continue with student preparation, leading many students to see the need to have a computer to take their classes, eventually showing boredom due to the lack of desire to be in front of a computer, This to a certain extent weakens their interest in learning and affects their learning because mobile devices have become more important due to the various applications that provide students with information. For this reason, we propose mobile learning that allows students to have more information, as well as interaction with different students so that they have the opportunity to learn on a constant basis.</p> <p>Objective: the objective is to create an automatic mobile learning system for the constant preparation of the student community.</p> <p>Method: a methodology based on a client-server model to take advantage of the various educational resources accompanied by the good support it provides the subjects for students with the interaction of a mobile application.</p> <p>Results: through the operation of the system, it was visualized that the tests carried out with the students were presented with an efficiency of 96,70 %,</p> <p>Conclusions: this system presents a high efficiency that allows to reinforce the subjects that need more prominence in the student’s learning and progress of level through the teacher’s evaluations.</p>Lucía Asencios-TrujilloDjamila Gallegos-EspinozaLida Asencios-TrujilloLivia Piñas-RiveraCarlos LaRosa-LongobardiRosa Perez-Siguas
Copyright (c) 2024 Lucía Asencios-Trujillo, Djamila Gallegos-Espinoza, Lida Asencios-Trujillo, Livia Piñas-Rivera, Carlos LaRosa-Longobardi, Rosa Perez-Siguas
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2024-01-312024-01-31322122110.56294/dm2024221Fuzzy Decision-Making Model for the inventory leveling under uncertainty condition
https://dm.saludcyt.ar/index.php/dm/article/view/142
<p> The option to create inventory is not always the optimal choice due to the associated expenses and space requirements. Nevertheless, there are instances where a shortage of materials on customer lines can result in substantial financial penalties. This constant contradiction places supply chain managers in a perplexing predicament, especially when considering the amplification of inventory through the bullwhip effect as it moves across different stages. Moreover, the uncertain backdrop created by unforeseen events intensifies this already critical situation, compelling managers to seek novel decision-making approaches. These approaches should enable the simulation of risks and the selection of suitable scenarios, particularly within the intricate domain of stochastic and dynamically evolving supply chains. In this study, we introduce a new decision-making model rooted in the fuzzy logic concept introduced by Loutfi Zadeh in 1965. This model is applied to criteria assessed by experts, representing the most pertinent parameters for guiding inventory optimization. The chosen criteria encompass Lead Time, Equipment Production Reliability, and Warehousing Costs. This model exhibits the potential to unearth intricate patterns and associations among variables that conventional statistical methods struggle to reveal. Notably, the integration of fuzzy logic for inventory prediction yields promising outcomes, extendable to the realm of artificial intelligence, where comprehensive inference rules facilitate effective decision-making.</p> <p> </p>Hatim LakhouilAziz Soulhi
Copyright (c) 2024 Hatim Lakhouil, Aziz Soulhi
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2024-01-112024-01-11314214210.56294/dm2024142A dragonfly algorithm for solving the Fixed Charge Transportation Problem FCTP
https://dm.saludcyt.ar/index.php/dm/article/view/218
<p>The primary focus of this article is dedicated to a thorough investigation of the Fixed Load Transportation Problem (FCTP) and the proposition of an exceedingly efficient resolution method, with a specific emphasis on the achievement of optimal transportation plans within practical time constraints. The FCTP, recognized for its intricate nature, falls into the NP-complete category, notorious for its exponential growth in solution time as the problem's size escalates. Within the realm of combinatorial optimization, metaheuristic techniques like the Dragonfly algorithm and genetic algorithms have garnered substantial acclaim due to their remarkable capacity to deliver high-quality solutions to the challenging FCTP. These techniques demonstrate substantial potential in accelerating the resolution of this formidable problem. The central goal revolves around the exploration of groundbreaking solutions for the Fixed Load Transportation Problem, all while concurrently minimizing the time investment required to attain these optimal solutions. This undertaking necessitates the adept utilization of the Dragonfly algorithm, an algorithm inspired by natural processes, known for its adaptability and robustness in solving complex problems. The FCTP, functioning as an optimization problem, grapples with the multifaceted task of formulating distribution plans for products originating from multiple sources and destined for various endpoints. The overarching aspiration is to minimize overall transportation costs, a challenge that mandates meticulous considerations, including product availability at source locations and demand projections at destination points. The proposed methodology introduces an innovative approach tailored explicitly for addressing the Fixed Charge Transport Problem (FCTP) by harnessing the inherent capabilities of the Dragonfly algorithm. This adaptation of the algorithm's underlying processes is precisely engineered to handle large-scale FCTP instances, with the ultimate objective of unveiling solutions that have hitherto remained elusive. The numerical results stemming from our rigorous experiments unequivocally underscore the remarkable prowess of the Dragonfly algorithm in discovering novel and exceptionally efficient solutions. This demonstration unequivocally reaffirms its effectiveness in overcoming the inherent challenges posed by substantial FCTP instances. In summary, the research represents a significant leap forward in the domain of FCTP solution methodologies by seamlessly integrating the formidable capabilities of the Dragonfly algorithm into the problem-solving process. The insights and solutions presented in this article hold immense promise for significantly enhancing the efficiency and effectiveness of FCTP resolution, ultimately benefiting a broad spectrum of industries and logistics systems, and promising advancements in the optimization of transportation processes.</p>Ismail Ezzerrifi AmraniAhmed Lahjouji El IdrissiAbdelkhalek BAHRIAhmad El ALLAOUI
Copyright (c) 2024 Ismail Ezzerrifi Amrani, Ahmed Lahjouji El Idrissi, Abdelkhalek BAHRI, Ahmad El ALLAOUI
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2024-02-082024-02-08321821810.56294/dm2024218Validation of a Job Satisfaction Scale among Health Workers
https://dm.saludcyt.ar/index.php/dm/article/view/260
<p>Background: Job satisfaction is a key focus in organizational behavior studies, particularly relevant in the healthcare sector and nursing. It influences patient care quality and staff retention and is shaped by the work environment, working conditions, managerial support, and interactions among colleagues. However, there is limited research specifically addressing the job satisfaction of nurses in Peru, a critical area in health administration. Objective: This study aimed to evaluate the metric properties of the S20/23 job satisfaction scale among Peruvian nurses. Methods: An instrumental research design was employed using a non-probabilistic sample of 325 nurses from two hospitals in Lima, Peru. The Chilean version of the S20/23 scale was used, comprising four dimensions of job satisfaction (relationship with supervision, physical work space, professional fulfillment, and training and decision-making opportunities). Data analysis included descriptive statistics, confirmatory factor analysis (CFA), and reliability tests using Cronbach's Alpha and McDonald's Omega. Results: The CFA revealed a satisfactory fit for the four-dimensional structure with 18 items (χ2 = 387.290, df = 124, p < .001, CFI = 0.92, TLI = 0.90, RMSEA = 0.08, SRMR = 0.05). The scale also demonstrated high reliability for each dimension: relationship with supervision (α = 0.90, ꞷ = 0.87), physical work space (α, ꞷ = 0.92), professional fulfillment (α, ꞷ = 0.88), and training and decision-making opportunities (α = 0.88, ꞷ = 0.84), with acceptable factor loadings (>0.70). Conclusions: The adapted 18-item S20/23 scale is a valid and reliable tool for assessing job satisfaction among Peruvian nurses. The study highlights the importance of specific job satisfaction dimensions, such as relationships with supervisors and professional development opportunities, in the Peruvian nursing context.</p>Allison Ramirez-CruzCaleb SucapucaMardel Morales GarcíaVíctor D Álvarez-ManriqueAlcides Flores-SaenzWilter C. Morales-García
Copyright (c) 2024 Allison Ramirez-Cruz, Caleb Sucapuca, Mardel Morales-García, Víctor D. Álvarez-Manrique, Alcides A Flores-Saenz, Wilter C. Morales-García
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2024-02-272024-02-27326026010.56294/dm2024260A Progressive UNDML Framework Model for Breast Cancer Diagnosis and Classification
https://dm.saludcyt.ar/index.php/dm/article/view/198
<p>According to recent research, it is studied that the second most common cause of death for women worldwide is breast cancer. Since it can be incredibly difficult to determine the true cause of breast cancer, early diagnosis is crucial to lowering the disease's fatality rate. Early cancer detection raises the chance of survival by up to 8%. Radiologists look for irregularities in breast images collected from mammograms, X-rays, or MRI scans. Radiologists of all levels struggle to identify features like lumps, masses, and micro-calcifications, which leads to high false-positive and false-negative rates. Recent developments in deep learning and image processing give rise to some optimism for the creation of improved applications for the early diagnosis of breast cancer. A methodological study was carried out in which a new Deep U-Net Segmentation based Convolutional Neural Network, named UNDML framework is developed for identifying and categorizing breast anomalies. This framework involves the operations of preprocessing, quality enhancement, feature extraction, segmentation, and classification. Preprocessing is carried out in this case to enhance the quality of the breast picture input. Consequently, the Deep U-net segmentation methodology is applied to accurately segment the breast image for improving the cancer detection rate. Finally, the CNN mechanism is utilized to categorize the class of breast cancer. To validate the performance of this method, an extensive simulation and comparative analysis have been performed in this work. The obtained results demonstrate that the UNDML mechanism outperforms the other models with increased tumor detection rate and accuracy</p> <p> </p>G. MeenalochiniD. Amutha GukaRamkumar SivasakthivelManikandan Rajagopal
Copyright (c) 2024 G. Meenalochini, D. Amutha Guka, Ramkumar Sivasakthivel, Manikandan Rajagopal
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2024-02-072024-02-07319819810.56294/dm2024198Validation of an Organizational Climate Scale in health workers
https://dm.saludcyt.ar/index.php/dm/article/view/257
<p>Introduction: Organizational climate is a key factor in employee performance and satisfaction. In this study, the validity and reliability of an organizational climate scale in agroindustrial companies in Peru was examined. Objective: To analyze the psychometric properties of an organizational climate scale adapted to Peruvian Spanish. Methods: A methodological study was carried out. Demographic data were collected, as well as responses to an organizational climate questionnaire. Results: The data were analyzed using confirmatory factorial analysis (CFA). The reliability of the instrument was high (α = 0.92). However, the factor loadings of several items were not adequate, so a unidimensional model was tested, then a model with adequate factor loadings, and finally an optimal model. In this last 9-item model, the fit was optimal, and the factor loading was adequate for all items. Conclusion: Overall, the organizational climate scale demonstrated good reliability and validity in this context of agroindustrial companies in Peru. However, some items needed to be revised to improve the scale's accuracy. These findings provide a valuable tool for measuring the organizational climate in these types of companies and pave the way for future research in this field.</p>Flor Damiano-AullaJeydi Raqui-RojasVíctor D. Álvarez-ManriqueLiset Z. Sairitupa-SanchezWilter C. Morales-García
Copyright (c) 2024 Flor Damiano-Aulla, Jeydi Raqui-Rojas, Víctor D. Álvarez-Manrique, Liset Z. Sairitupa-Sanchez, Wilter C. Morales-García
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2024-03-132024-03-13325725710.56294/dm2024257Technological assistance in highly competitive sports for referee decision making: A systematic literature review.
https://dm.saludcyt.ar/index.php/dm/article/view/188
<p>Introduction: During the last decade, it has become evident that the impact of a referee's decision in professional sports turns out to be a turning point in the outcome of a competition, often generating discomfort among fans and competitors. It is for this reason that technological assistants were implemented in sports to help in referee decision making.<br />Objective: Review and analyze those technological solutions based on the use of artificial intelligence techniques capable of serving as technological assistants in support of referee decision-making in highly competitive professional sports.<br />Method: The PICO methodology was used for the selection process of scientific publications of the PRISMA declaration. Finding 21 scientific publications extracted from the SCOPUS database that comply with the proposed guidelines, which were reviewed and analyzed to obtain information with added value.<br />Results: It was found that the proposed technological assistants reached a level of precision greater than 90% in certain sports. Likewise, those limitations were found that reduce the operational quality of these solutions. As found those algorithms, models, methods and approaches of artificial intelligence most used and recommended for future research studies.<br />Conclusions: In conclusion, the implementation of technological assistants based on artificial intelligence in referee decision making in professional sports has proven to be an effective tool, achieving significant levels of precision.</p>Rafael Thomas-AcaroBrian Meneses-Claudio
Copyright (c) 2024 Rafael Thomas-Acaro, Brian Meneses-Claudio
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2024-01-102024-01-10318818810.56294/dm2024188Transformation and digital challenges in Peru during the COVID-19 pandemic, in the educational sector between 2020 and 2023: Systematic Review
https://dm.saludcyt.ar/index.php/dm/article/view/232
<p>Introduction: Digital transformation in the Peruvian educational sector has experienced a significant boost after facing the COVID-19 pandemic. During the period between 2020 and 2023, various innovative methods have been implemented to ensure the continuity of the academic year.<br />Objective: Explain how the digital transformation was carried out in the Peruvian educational sector after facing the COVID-19 pandemic to the present (2020 – 2023).<br />Method: Examples from many institutions, statistical studies and scientific and technological references were taken into account to achieve the objective. Throughout this work we are analyzing the different and innovative methods used by teachers to provide continuity to the academic year and how digital challenges were overcome.<br />Results: 78 documents from Scopus and Scielo were reviewed, leaving 62 after filtering. These cover 8 categories on the impact of the pandemic on education, the transition to online teaching, job skills, challenges and advantages of virtual education, innovation in higher education, educational evaluation in virtual environments, educational internationalization and challenges for teachers during the COVID-19 pandemic.<br />Conclusions: In conclusion, the digital transformation in the Peruvian educational sector after the COVID-19 pandemic has been fundamental to guarantee the continuity of the teaching-learning process.</p>Anali Alvarado-AcostaJesús Fernández-SaavedraBrian Meneses-Claudio
Copyright (c) 2024 Anali Alvarado-Acosta, Jesús Fernández-Saavedra, Brian Meneses-Claudio
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2024-02-102024-02-10323223210.56294/dm2024232Applicable methodologies for business continuity management in IT services: A systematic literature review
https://dm.saludcyt.ar/index.php/dm/article/view/182
<p>Introduction: Currently, information technologies have one characteristic in common: their volatility. This is why it is important that companies have methodologies that allow adequate management of the continuity of the services offered through them.<br />Objective: In this sense, the purpose of this systematic literature review is to identify the most appropriate methodologies that can be implemented in companies to deal with these unforeseen interruptions.<br />Method: With a study based on a PICO question, the search for relevant literature in a scientific database was proposed using a search equation based on keywords.<br />Results: The studies offer qualitative results that mainly allow reducing response times before incidents of unforeseen interruptions, among the most notable is that the proposed systems help increase the success rate of recovery procedures by 80%, allow identifying and apply integration technologies that allow improving business continuity systems, among others. However, there is a knowledge gap for which the implementation of these methods is suggested for future proposals in order to achieve quantitative results that can be presented through metrics.<br />Conclusions: In conclusion, the present systematic literature review carried out the analysis and a comparison of the methodologies proposed by the authors and analyzes the results achieved in each of them, suggesting that 69% of the articles mention an origin of the associated interruptions to logical failures, 75% of the studies indicate that business continuity plans mostly have a preventive focus and 44% suggest continuous testing of plans to ensure their effectiveness.</p>Renzo Huapaya-RuizBrian Meneses-Claudio
Copyright (c) 2024 Renzo Huapaya-Ruiz, Brian Meneses-Claudio
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2024-01-082024-01-08318218210.56294/dm2024182