The Anáhuac Journal

The Effects of Global Supply Chain Pressure on Sentiment, Expectation, and Uncertainty: A VAR Approach

Héctor Romero-Ramírez — Mon, 04 Nov 2024 00:00:00 -0600

This paper studies the relationship of global supply chain pressure with consumer sentiment, inflation expectation, and monetary policy uncertainty in the United States. A sample from January 1998 to January 2024 is used, and this paper uses a Vector Autoregression (VAR) approach based on the method proposed by Toda and Yamamoto (1995). The Granger causality test suggests that the predictions of inflation expectation based on its own past values and the past values of the global supply chain pressure are better predictions of inflation expectation than just using the past observations of inflation expectation. In contrast, Impulse Response Functions suggest that surprise increases in global supply chain pressure lead to increased inflation expectation and monetary policy uncertainty; this shock lasts up to two years. Meanwhile, the Impulse Response Functions suggest that surprise increases in the global supply chain pressure decrease consumer sentiment (confidence), lasting up to two and a half years. Afterward, the impact converges back to zero. Additionally, the Variance Decomposition results suggest that by the final period, the impulses of the global supply chain pressure explain over 22%, 7%, and 44% of the variation of consumer sentiment, monetary policy uncertainty, and inflation expectation, respectively.

Business Consolidation of BIC Microenterprises in Bucaramanga, Colombia

Youseline Garavito Hernández, Lyda Otero Corzo, Marleny Araque Amaya — Fri, 11 Oct 2024 00:00:00 -0500

In Colombia, there has been a significant growth of Collective Benefit and Interest Companies (BIC) over a short period. These organizations combine business activities with generating benefits for their employees, contributing to the country’s equity, and protecting the environment. This research seeks to identify the dimensions and variables necessary for strengthening and consolidating BIC companies in Bucaramanga, Colombia, over time. We used a structured diagnosis based on a survey of managers of BIC companies and the analysis of data through a binomial logistic regression statistical model. Our main results showed that it is necessary to strengthen these companies’ access to benefits established in regulations and how managers of organizations manage these benefits and direct them to their employees. We identified that their future consolidation is directly related to the management and empowerment of collaborators.

Perceptual Variables and Nascent Entrepreneurship in Selected Latin American Countries.

Sara María Landa Lizarralde, Luis Enrique Landa Fournais — Mon, 07 Oct 2024 00:00:00 -0500

Abstract

Purpose: Provide empirical evidence of the impact of perceptual variables and beliefs on a person's decision to join or not to join the group of nascent entrepreneurs.

Methodology: Logistic regression applied to the most recent data from nine Latin American countries available in the 2018 GEM survey. Following existing literature, we interconnect perceptual variables with control variables in the form of sociodemographic characteristics.

Results: New entrepreneurs tend to depend more on subjective perceptions than on sociodemographic variables. Evidence suggests that having the confidence of possessing the necessary knowledge and skills plus knowing a model entrepreneur are inseparable variables with the greatest impact on the decision to become an entrepreneur. Our results also suggest that entrepreneurial knowledge does not necessarily originate from formal classroom education, as this variable was found to be not significant in the model. This supports the hypothesis that confidence in one's knowledge and abilities result from the contact with other entrepreneurs who serve as role models, instructors and mentors, which is consistent with Social Learning Theory.

Employer Value Proposition Profile to Attract Generation Z Candidates to Companies in Mexico

Carlos Gabriel Colin Flores, Sergio Madero Gómez, Santiago Colín Núñez — Thu, 31 Oct 2024 00:00:00 -0600

There is currently a reported shortage of talent in companies (Manpower Group, 2022), a situation that has put organizations on alert to get the best employees available in the labor market. One of the most commonly used methods to recruit young talent is the headhunting of university candidates. Graduating students are part of Generation Z—or centennial generation—; for this reason, companies should understand the attributes that are attractive to this generational group with the intention of having an adequate value proposition to encourage the recruitment of the best candidates. This study conducted research on a sample of 423 students in the last two semesters of undergraduate studies in business-related careers at two universities in Mexico City, one public and one private, both leaders in Mexico, according to QS (2024).
As a result, a profile of the ten most valued attributes by centennial business students was found, which can be used to build an attractive value proposition to attract talented candidates from this generational group. Also, a detailed analysis is presented on the six attractive factors (which are integrated by 27 attributes) for the centennial generational group when evaluating an employer. This allows organizations to review their value proposition and thus improve candidates’ perceptions of the employer’s brand.

A Simple Credit Rating Prediction Model for FinTech Companies Using SMOTE and MRMR Techniques

Jesús Gopar Sánchez — Mon, 02 Dec 2024 00:00:00 -0600

FinTech companies have made the financial industry more efficient and have increased financial inclusion. However, it has also brought new risks to the financial system. Regulators, investors, and researchers are concerned that their financial difficulties could affect the financial system. Our study aims to delve deeper into the effectiveness of machine learning techniques in identifying early warnings of FinTech companies’ credit risk impairment. Using commonly employed accounting and market measures in the literature, we created various classifiers to predict FinTech credit ratings. Classification algorithms face a challenge when the number of observations between classes is not equivalent, affecting their performance. Due to the limited size of publicly traded FinTech stocks with an issuer-level credit rating, our database has few observations and is highly imbalanced. The results of our study show that the SMOTE oversampling technique improves the predictive power of machine learning algorithms and that feature selection algorithms such as MRMR allow the generation of less complex and easierto-understand models. Our results suggest that the KNN classification algorithm has higher accuracy in predicting FinTech’s credit ratings.

Cryptocurrencies as Catalysts for Financial Inclusion in Latin America

Mon, 04 Nov 2024 00:00:00 -0600

Financial inclusion is a significant challenge in Latin America, so it is relevant to propose new approaches and business models that help close the gap in access to financial services for underserved segments. In this line, we evaluate the intended use of a platform to buy cryptocurrencies as an investment asset for people who invest in alternative instruments such as these, where the innovative element constitutes that cryptos can be given on loan to vulnerable people with convenient rates for both parties. Thus, based on the Unified Technology Acceptance and Use Theory (UTAUT) model of technology adoption, the results show that social influence and trust are the variables that explain, to a greater extent, the intention to use them. The findings of this study generate new evidence for the development of innovative business models, as well as a relevant contribution to public policy concerning the development of the fintech ecosystem in Latin America.

Video Game Streaming as a Generator of Employment and New Professional Opportunities

Thu, 31 Oct 2024 00:00:00 -0600

This article aims to structure an overview of video game streaming as a generator of employment and new professional careers in Ecuador. In the methodology, a non-experimental design of descriptive and correlational scope was proposed, using a mixed approach, with the Delphi method in the qualitative component. At the same time, surveys were executed to solve the quantitative component. In this sense, it was possible to observe a greater participation of Generation Z and Millennials in this type of activity, which in turn reflects the interest in being part of video game streaming. In contrast, others are already users and have perceived a contribution or economic benefit for playing or creating content. In addition, the male gender is highlighted as the main participant in these platforms. It was concluded that there is a relationship between people who dedicate hours to video games and the desire to obtain economic income through this business model, and there is also a tendency for gamers to become professionals in digital marketing and audiovisual and multimedia production careers.

Volatility and Investment Selection in an Economic Growth Model

Daniel Cerecedo Hernández, Selene Rocío Gaxiola Laso — Mon, 07 Oct 2024 00:00:00 -0500

Macroeconomic volatility can affect long-term growth through its effects on aggregate savings and investment. In this article, an economic growth model is developed in which industries, based on macroeconomic volatility and credit restrictions in the financial sector, have the possibility of dividing their wealth into short-term investment versus long-term investment which contributes more to productivity growth. The model is empirically evaluated for Mexico using a dynamic partial adjustment econometric model.

Letter from the Editor

Jaime Humberto Beltrán Godoy — Mon, 09 Dec 2024 00:00:00 -0600