Management (Montevideo) (Journal)
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Predictive Analytics for Housing Market Trends and Valuation
Get PDFIntroduction: The demand for housing in major cities is exceptionally high due to the concentration of offices and economic hubs in these areas. The combination of limited available land and increased demand drives house prices upward.Objective: To accommodate this, developers are increasingly constructing residential areas on the outskirts of cities, offering easier access to transportation such as trains and highways. These developers compete by offering competitive pricing, diverse housing options, simplified mortgage processes, and attractive promotions like zero down payments. Buying a house is a significant long-term investment, as property values typically appreciate over time. Therefore, a thorough analysis is crucial when purchasing a home. Several key factors, such as location, land size, building area, and property type, play a role in determining house prices.Method: This study adopts a quantitative approach, which involves systematically investigating phenomena by collecting measurable data and analyzing it through statistical, mathematical, or computational methods. Result: This paper discusses the most effective techniques for data collection, pre-processing, feature extraction, model training, and evaluation. The purpose of this research method is to develop theoretical frameworks related to real-world phenomena. Conclusions: Measurement plays a pivotal role in this quantitative study, as it is central to understanding the data and drawing meaningful conclusions. Finally, we evaluate the current state of research, identifying trends and gaps in the fiel
Implementation of digital marketing strategies. Problems and benefits to the financial sector
Get PDFIntroduction: Financial digital marketing relies on different electronic media to reach a greater number of people who could become potential clients of different financial corporations through it. The objective pursued is to identify the problems and benefits that it has brought to the financial sector in terms of the use and implementation of digital marketing strategies. Methodology: The methodology of this study was based on a systematic review of primary information housed in open access databases, mainly Scopus, Web of Science and Google Scholar in the last five years (2020-2024). Results: Marketing strategies focus on directing resources toward opportunities that increase sales and provide long-term competitive advantages. In the financial services space, competition has driven a transformation towards customer satisfaction through a wide range of options. Conclusion: Digital marketing is essential and combining digital and traditional approaches is crucial to success, with conversion metrics playing a critical role. In less advanced regions, policies to support technological innovation are needed to harness digital potential. The financial sector has experienced greater competition and diversity, driven by digital marketing and the inclusion of fintech companies, which has benefited SMEs and entrepreneur
Analyzing Consumer Behavior in E-Commerce: Insights from Data-Driven Approaches
Get PDFIntroduction; Understanding modern shopping behaviors and developing effective marketing strategies have made e-commerce consumer analysis a critical tool for businesses. Objective; This study delves into consumer behavior patterns by analyzing a comprehensive Kaggle dataset centered on online retail activities, which includes demographic details, purchasing trends, and user engagement metrics. Utilizing advanced data science methodologies—such as data preprocessing, exploratory data analysis, and predictive modeling—the research uncovers valuable insights into customer segmentation, spending behaviors, and strategies to enhance customer retention.Method; The analysis reveals significant trends, such as the impact of seasonal variations on online shopping, the role of demographic factors in shaping product preferences, and the effectiveness of personalized marketing in boosting conversion rates. Result; These findings underscore the importance of tailoring marketing efforts to align with consumer needs and preferences. Additionally, the study highlights the necessity for e-commerce businesses to adopt continuous data monitoring and implement robust analytical frameworks to remain competitive in an ever-evolving digital marketplace.Conclusion; This research provides actionable recommendations for e-commerce stakeholders, emphasizing the integration of data-driven insights into their strategies. By leveraging these insights, businesses can optimize their marketing approaches, improve customer satisfaction, and ultimately drive growth in the highly competitive online retail landscape
The concept of interface as an analytical and practical approach to organizational communication in higher education institutions
Get PDFHigher education institutions (HEIs) have considered communication to be a necessary aspect in the fulfillment of their objectives as organizations. The interface is a concept that allows us to analyze educational organizations in order to understand the network of relationships and interactions established by their multiple actors, and the processes in which they participate (Scolari, 2021). By applying this concept with an analytical focus, it is possible to understand the communicative spaces that exist within the structural complexity of HEIs.This work proposes a theoretical reflection based on an understanding of the concept of interface, its categories and analytical dimensions, applied to the organizational environment of HEIs. In turn, it proposes to identify elements present in educational organizations such as HEIs, which can be conceptualized as components of the interface, and which have links or connections with other communication spaces and other interfaces in the educational context.The aim is to construct a model of intervention that can be put into practice to propose communication strategies that strengthen HEIs at an organizational level. In conclusion, it is considered that this concept can be useful both for the analysis of organizational communication in HEIs and for the planning of actions that contribute to the fulfillment of communicational purposes both internally and externally
Capacitating Librarians with Wikidata Literacy for Managing Wikipedia Information Resources: Implications to Libraries
Get PDFIntroduction: The integration of Wikidata literacy in librarianship presents a significant opportunity to enhance the curation and management of Wikipedia’s structured data while improving library metadata practices. This paper explores the role of Wikidata literacy in equipping librarians with the skills necessary to contribute to Wikipedia’s knowledge ecosystem and improve information services within libraries. Methods: The paper employed the narrative review to examine the role of wiki-data literacy in equipping librarians with the skills necessary to contribute to Wikipedia’s knowledge-base.Results: The study examines key aspects of Wikidata literacy, including its role in structuring and organizing information, its impact on library cataloging and metadata practices, and its influence on library-user interactions. Furthermore, it highlights the implications of Wikidata literacy for improving information literacy programs and fostering collaboration among libraries and Wikimedia communities. Despite the numerous benefits, the paper identifies several challenges in capacitating librarians with Wikidata literacy, such as technical complexity, lack of structured training programs, institutional reluctance, and resource limitations. Conclusions: The paper concludes that Wikidata literacy is essential for modern libraries to remain relevant in the digital age, facilitating open access, improving knowledge discovery, and strengthening the role of libraries as key contributors to global information networks.
Integration of AI Technologies and Knowledge Management Enhances Business Process Efficiency and Competitive Advantage
Get PDFThe integration of Artificial Intelligence (AI) and Knowledge Management (KM) structures have emerged as a powerful strategy to streamline business processes and gain a competitive edge. The primary objective is to examine how the integration of AI and KM improves business efficiency, fosters innovation, and enhances competitive advantage across various industries, providing insights into the measurable benefits. Key variables include the level of AI integration, knowledge management (KM) effectiveness, business process efficiency, competitive advantage, and employee satisfaction. These factors were measured using standardized scales to determine their interrelations and impact on business performance. Data was collected using surveys from 750 employees across 10 companies, alongside 15 interviews with senior managers. SPSS was used to analyze quantitative data. SPSS was also used for correlation, regression, and descriptive statistics of key variables. There are strong positive correlations between business process efficiency and AI integration level (0.64) as well as between competitive advantage and KM effectiveness (0.67), and the results show that all variables have high mean scores, with business process efficiency having the highest mean (4.22) and employee satisfaction having the lowest (3.98). The investigation concludes that integrating AI technologies with KM systems significantly improves business process efficiency and provides a competitive edge. Organizations should prioritize these integrations to stay competitive, though challenges such as resistance to change must be managed
Institutional factors and teaching performance at a university in southern Lima, 2025
Get PDFIntroduction. teaching performance is a key element in the quality of higher education. Institutional factors such as organizational climate, infrastructure, and administrative management strongly influence teachers’ effectiveness and students’ academic outcomes.
Methodology. a quantitative, correlational, and non-experimental study was conducted with 120 professors from a private university in Lima Sur in 2025. Data were collected through validated surveys with a Cronbach’s alpha of 0.89.
Results. descriptive results indicated that 72.5% of professors perceived infrastructure as a determinant of performance, while 68.3% emphasized the role of organizational climate. Linear regression analysis showed that institutional factors explained 61.4% of the variance in teaching performance (R² = 0.614, p < 0.01).
Conclusion. institutional factors significantly influence teaching performance. Strengthening infrastructure, fostering a positive organizational climate, and improving administrative management are recommended to enhance academic quality
Adapting Management Strategies in SMEs to the Era of Digital Transformation
Get PDFIntroduction: Given the benefits of digitalisation, including optimisation of internal processes, increased productivity, better stakeholder engagement, and adaptation to rapidly changing market conditions, the analysis of digital transformation and its role in shaping enterprise management strategies is particularly relevant.Objective: The article aims to analyse the impact of digital transformation on the formation and implementation of management strategies for SMEs\u27.Methods: The article uses general scientific methods of cognition, in particular, methods of synthesis, systematisation and generalisation, to determine the status and current trends in the development of SMEs. Quantitative analysis includes statistical data analysis to collect, process and group the initial data; forecasting to identify trends in SME performance; and correlation analysis to determine the impact of digitalisation on SMEs\u27 economic activities.Results: Strong positive correlations between EGDI (r = 0.965, p = 0.002), OSI (r = 0.955, p = 0.03), TII (r = 0.934, p = 0.006) and medium-sized enterprise performance show digital transformation significantly boosts management efficiency and stability. Conversely, digitalisation weakly or negatively affects small individual entrepreneurs, highlighting the need for tailored strategies amid ongoing global challenges and war escalation.Conclusion: The results of the quantitative study confirm that digital transformation has a positive impact on the activities of small and medium-sized enterprises while requiring the adaptation of digitalisation strategies for individual entrepreneurs, as the analysis did not reveal a significant correlation between the performance of this group and the digital development indices
Trustworthy Financial Responsibility Towards Quality Financial Performance
Get PDFQuality financial performance is vital, reflecting an organization’s financial health and fund utilization efficiency. While corporate governance principles enhance financial outcomes, they remain focused on material benefits and stakeholder obligations, overlooking human relationships and divine accountability as part of worship toward Allah SWT. This study introduces Islamic Corporate Governance, emphasizing amanah financial responsibility to address these gaps. Adopting an explanatory research approach, it investigates the roles of Islamic Financial Literacy, Amanah Codes of Conduct, Amanah Open Access, Amanah Value-Sensitive Design, and their impacts on Quality Financial Performance. Data were collected from 35 Heads of Badan Pendapatan, Pengelolaan Keuangan dan Aset Daerah in Central Java via questionnaires and Google Forms and analyzed using SEM mediation techniques. Results reveal significant positive relationships among Islamic Financial Literacy, Amanah principles, and Quality Financial Performance, offering a novel conceptual framework to enhance accountability and financial health within an Islamic governance perspective
The Effect of Performance Expectancy, Effort Expectancy, Facilitating Conditions on Behavioral Intention to Use and Their Impact on Usage Behavior Moderated by Trust: a Study on BRISPOT Application Users in the Small and Medium Business Segment of Bank BRI
Get PDFThe implementation and optimal utilization of online banking applications remains a challenge, particularly within the Small and Medium Enterprise (SME) sector, where digital tools are underutilized despite their potential. This study aims to examine the variables influencing the adoption and usage of online banking by Relationship Managers (RMs) in the SME sector. Using a framework combining the Unified Theory of Acceptance and Use of Technology (UTAUT) and Social Cognitive Theory (SCT), this research explores the key determinants of RM behavior towards online banking, introducing trust as a moderating variable. The findings indicate that supportive circumstances, performance expectations, and effort expectations significantly affect the behavioral intention to use online banking, which in turn strongly influences actual usage behavior. Furthermore, trust directly impacts utilization but does not diminish the influence of behavioral intention on usage. This study contributes to the literature by integrating SCT into the UTAUT model and offers practical insights for banking institutions. To enhance application adoption, banks should focus on improving system usability, offering adequate support, and building user trust