This research was based on the technology acceptance model (TAM), the information systems success model (ISSM) and incorporated trust into the theoretical research model. The study focuses on addressing how the factors of application quality, information quality and service quality affect ease of use, perceived usefulness, and trust. And in turn, how these last three incidents in the use of mobile banking by users in the Monterrey Metropolitan Area (MMA), Mexico. A quantitative study was carried out and the structural equation modeling (SEM) technique based on components/variances was applied. Of the variables addressed, it was found that the three quality factors affect the perceived usefulness, which in turn is an important driver of the use of mobile banking. By addressing the factors that are relevant to the user, a more attractive mobile banking can be created, attracting a greater number of users, leaving traditional banking behind and thus increasing the competitiveness of financial institutions.attractive mobile banking system, attracting a higher number of users, leaving traditional banking behind and thus increasing the competitiveness of financial institutions.
This study examined the influence of emotional intelligence on job satisfaction and the mediating role of organisational commitment in this relationship. Data were collected via a cross-sectional survey, yielding 400 usable responses from police personnel in Kuala Lumpur police organisations in Malaysia. The measurement and structural models were assessed using SmartPLS. The findings of the structural equation modelling revealed that organisational commitment plays a critical mediating role in the relationship between emotional intelligence and job satisfaction. These results offer valuable insights for practitioners to understand the multidimensional perspectives of organisational commitment and to formulate social skills development programmes that support the achievement of organisational strategies, missions, and goals.
Este estudio analiza la insolvencia en Instituciones Prestadoras de Servicios de Salud (IPS) en Colombia, específicamente hospitales quirúrgicos y de medicina general, mediante técnicas de árboles de decisión (CHAID) y modelos de inteligencia artificial (red neuronal y red bayesiana). Se empleó una base de datos de 269 IPS distribuidas en cinco regiones del país, considerando 11 variables financieras y 3 no financieras (localización, antigüedad y transparencia). Los resultados evidencian una correlación significativa entre las variables financieras y la insolvencia empresarial. Los modelos CHAID y red neuronal alcanzaron precisiones superiores al 92%, mientras que la red bayesiana obtuvo un 77,28%, confirmando la efectividad de los enfoques propuestos para predecir riesgos financieros en el sector salud.
El propósito de esta investigación es analizar el impacto de la innovación en el desempeño organizacional, en una muestra de empresas colombianas, para comprobar con datos empíricos la teoría existente sobre las relaciones causales entre estas variables. Se busca también, analizar el rol mediador de la competitividad en la relación entre la innovación y el desempeño organizacional. Se estimaron los efectos de estas relaciones con el uso de la técnica estadística conocida como Modelado de Ecuaciones Estructurales por Mínimos Cuadrados Parciales (PLS-SEM) y utilizando el software estadístico Smart PLS 4. Los resultados principales indican que la innovación impacta de forma sustancial, positiva y significativamente en la competitividad y el desempeño organizacional, respectivamente. Además, se puede observar que la competitividad también incide positiva y significativamente en el desempeño organizacional, pero con menor fuerza. Finalmente, se demuestra un efecto mediador ligero de la competitividad en la relación innovación con el desempeño organizacional. Estos resultados aportan evidencia empírica a la discusión teórica de estas relaciones en el campo de las ciencias administrativas y pueden ayudar a la toma de decisiones empresariales.
The management control system (MCS) is an integrated framework for controlling complex organizational processes, forming distinct control configurations. MCS configuration plays a crucial role in supporting business processes and improving company performance. However, studies on this subject remain limited. This research aims to examine the impact of different MCS configurations on the business processes and performance of startups in Indonesia. Using Partial Least Squares (PLS) analysis and a sample of 209 startup companies across 16 regions in Indonesia, we find that MCS configuration has a positive influence on both business processes and company performance. Based on cluster analysis, we identify several optimal control configurations that support high organizational performance, highlighting the relationship between MCS configuration and company performance through business processes.
El objetivo de esta investigación es analizar las estrategias de resiliencia y sostenibilidad en las cooperativas agroindustriales. El método de investigación fue mixto. Se combinó un enfoque cualitativo, a través de entrevistas a especialistas (analizadas con el software Atlas.ti), con una investigación cuantitativa exploratoria mediante el análisis de ecuaciones estructurales (utilizando el software AMOS) en 52 cooperativas. Los resultados validan que la sostenibilidad se explica por el desempeño, la identidad, la comercialización y la adaptación. Del mismo modo, el modelo resultante no valida la resiliencia como una variable que interviene en la sostenibilidad. Nuestros hallazgos representan una novedad en la investigación sobre cooperativas agrícolas en México, ya que estas no habían sido estudiadas previamente bajo el enfoque de resiliencia y sostenibilidad. La principal limitación de este estudio es el tamaño de la muestra.
El artículo examina si la inversión extranjera directa (IED) impulsa el crecimiento de la productividad laboral del sector manufacturero estatal en México, utilizando un modelo empírico con variables que miden la aglomeración de IED, la formación bruta de capital fijo y las diferencias de productividad laboral respecto al promedio nacional. Se emplea un modelo de regresión en panel de datos espaciales, específicamente el modelo Durbin espacial, para considerar la dependencia espacial e interacción entre estados. Los resultados muestran que la brecha de productividad y la productividad laboral retardada tienen un efecto significativo, en este último caso, indicando un proceso adaptativo. Las economías estatales con alta productividad superan el promedio regional, mientras que las de baja productividad disminuyen. La estimación de los efectos directos indica que la inversión en capital físico y las economías de aglomeración internas tienen efectos positivos en la productividad laboral estatal, pero la débil integración entre estados vecinos limita los efectos totales. Se sugiere la necesidad de estudios más específicos por ramas manufactureras.
El objetivo del presente trabajo consiste en analizar la influencia del liderazgo transformacional en el desarrollo de innovaciones verdes; así como en el desempeño financiero y ambiental de empresas mexicanas en los sectores manufacturero y de servicios. Mediante el modelo de ecuaciones estructurales por mínimos cuadrados parciales, se pudo constatar que las empresas que fomentan un liderazgo transformacional son capaces de incentivar medidas sostenibles que lleven a la creación de innovación verde; el cual, a su vez, lleva a mejorar el desempeño financiero y ambiental. Por su parte, el liderazgo transformacional por sí solo no tiene influencia sobre ambos tipos de desempeño. Adicionalmente, se encontró que la innovación verde tiene un papel mediador entre el liderazgo transformacional y el desempeño ambiental, pero no así en el financiero.
The objective of this study is to analyze the moderating effect of ESG on earnings management in explaining the stock prices (value relevance) of companies from Latin American countries. The study yet compares this moderation before, during, and after the pandemic. The panel data was analyzed using the Generalized Least Squares (GLS) and Panel Corrected Standard Errors (PCSE) model. The final sample consisted of 2,078 observations from 291 companies from 2010 to 2023. The Ohlson (1995) model was employed to measure the value relevance, while the Kothari et al. (2005) model measured discretionary accruals. The findings of the study indicate: i) ESG and share price were positively and significantly related before the pandemic, and negatively and significantly after the pandemic; ii) discretionary accruals and share price were positively and significantly related, except after the pandemic, and iii) interaction between ESG and earnings management reveals a positive moderating relationship with value relevance in the post-pandemic period. This study contributes to investors by providing insights into how ESG moderates earnings management in stock price pricing, helping to identify more transparent and sustainable companies. It provides managers promote viewpoint on how ESG affects the production of financial value and promotes actions consistent with responsible governance. For society, it highlights the role of ESG in building more trustworthy and resilient markets. Understanding how crises impact the applicability of these techniques is made easier by the comparative analysis conducted before, during, and following the pandemic. Thus, the study reinforces the importance of ESG in promoting trust and economic stability.
El múltiplo valor mercado a valor en libros se utiliza ampliamente por los analistas financieros con el propósito de tomar decisiones de inversión en acciones (P) de las empresas que cotizan en los mercados bursátiles. La conexión entre dicho múltiplo y el desempeño de la empresa se realiza a través del análisis financiero de la rentabilidad de la empresa, que se compone por el crecimiento en ventas, generación de utilidades y el capital empleado. Se tomó una muestra de 30 empresas que cotizaron en la Bolsa Mexicana de Valores entre 2000 y 2023 (24 años), utilizando el método de análisis panel de efectos para las inferencias estadísticas. Los resultados arrojan que las variaciones de los precios de las acciones están influenciadas por las expectativas de los inversionistas en función del desempeño futuro de la empresa en términos de la utilidad esperada, crecimiento en ventas y del capital empleado que se puede definir como los recursos que utiliza las empresas para su operación.
Purpose – The purpose of this research is to examine the relationship between creditor pressure and environmental disclosure as well as to improve a complete understanding of the effect of mediation on environmental performance Design/Method/Approach – This research used a company sample listed in developing countries in Asia from 2010-2022. Two models were developed and tested using unbalance data panel with three approach regression common effect models, fixed effect models (FRM), and random effect models (REM).Findings – The results showed that coercive pressure increases environmental disclosure. The research found good environmental performance practices could be a medium between coercive pressure and environmental disclosure.Practical Implications – This research contributes to the CSR literature study and coercive pressure. Our findings highlight the role of market sophistication and company motivation in performing environmental performance and disclosure. Originality and value - This study expands on existing research. Our findings concluded that the competent monitoring and information processing capabilities of creditors can be used as a governance mechanism to maintain the legitimacy of stakeholders.Keywords: Coercive Pressure, Environmental Performance, Environmental DisclosurePaper type- Research paper
Job satisfaction must be considered in service companies, especially life insurance companies. The main objective of this study is to determine the influence of (1) proactive personality toward job satisfaction; (2) intrinsic motivation toward job satisfaction; (3) proactive personality towards innovative work behavior; (4) intrinsic motivation against innovative work behavior; and (5) innovation work behavior to job satisfaction. This model was tested on a sample of 160 employees of life insurance companies PT. Asuransi Starinvestama and PT. Asuransi Jiwa Takaful. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the hypothesis. The results of the study showed: (1) there was no influence of proactive personality towards job satisfaction; (2)there is the influence of intrinsic motivation to job satisfaction; (3) there is an influence of proactive personality towards innovative work behavior; (4) there is an influence of intrinsic motivation to innovative work behavior; and (5) there is no influence of innovative work behavior to job satisfaction. The conclusion of this study is that insurance employees who have a proactive personality and intrinsic motivation need to create job satisfaction and innovative work behavior.
El Capital Intelectual (CI) es el principal generador de valor y competitividad en las empresas de la era del conocimiento. Sin embargo, su naturaleza subjetiva, así como la falta de consenso y limitaciones en los métodos contables tradicionales dificultan la estimación del valor que aportan los activos intangibles (AI) a las empresas. Por lo anterior, en esta investigación se desarrolló un método de medición de CI mediante la aplicación de la Teoría del Valor de Atributos Múltiples (TVAM) y aplicando un censo a las empresas listadas del sector de telecomunicaciones de la Bolsa Mexicana de Valores (BMV). Se realizó una investigación de tipo aplicada, de enfoque mixto en tres etapas, de carácter no experimental de investigación-acción, longitudinal y de tendencia. Los principales hallazgos de esta investigación permitieron determinar que el 32% de los factores de riesgo (FR) reportados por las empresas listadas corresponden al CI, cuyos atributos pueden ser identificados, clasificados y medidos para describir el comportamiento y evolución del CI sobre el desempeño individual y colectivo del sector sobre varios periodos contables.
La disciplina administrativa surgió en un contexto de expansión del capitalismo, lo que condicionó sus planteamientos en torno a la necesidad de operar lo mejor posible los procesos productivos al interior de la industria; este carácter utilitario en la administración se extendió y posicionó a lo largo del siglo XX, no sólo en el uso intensivo de sus técnicas en buena parte de las organizaciones, incluso por encima de sus propios objetivos, sino en el conocimiento mismo. Esta racionalidad se consolidó en el ámbito de las organizaciones y en la acción administrativa a partir de este periodo. Este artículo tiene como finalidad analizar la racionalidad organizacional y la racionalidad administrativa en la Modernidad desde la Escuela de la Teoría Crítica, también conocida como Escuela de Frankfurt. Su principal aportación consiste en comprobar el vínculo que existe entre la racionalidad que promueve la Modernidad y la concepción de la organización y su operación, a través de la administración. Este esfuerzo crítico con el que se concibe la organización y la administración desde la Teoría Crítica, sin embargo, se reduce a una concepción limitada de la organización y de la administración, que en este trabajo impide visualizar otras formas de comprensión de estos conceptos, incluso las que se plantean desde otras escuelas críticas de la administración.
This study aims to analyze the movement of stock markets from the United States, China and ASEAN towards the stock market in Indonesia in geopolitical periods, such as COVID-19 and Russia-Ukraine war. This study uses secondary data, namely the daily closing prices of the United States S&P 500 index, Shanghai Composite, Jakarta Stock Exchange, Thailand SET, FTSE Straits Times Singapore, Philippine Stock Exchange, Kuala Lumpur Stock Exchange, and Vietnam Securities Exchange. The analytical method used to support this research is EGARCH (Exponential Generalized Autoregressive Conditional Heteroskedasticity). The findings show that the Indonesian stock market has a positive influence on the United States S&P 500 stock market, Shanghai Composite, Jakarta Stock Exchange, Thailand SET, FTSE Straits Times Singapore, Philippine Stock Exchange, and Kuala Lumpur Stock Exchange, and Vietnam Securities Exchange.
This study investigates whether various components of working capital policy impact profitability. Furthermore, this study considers whether the COVID-19 outbreak can intervene in this relationship. Using a sample of 126 listed manufacturing companies in Indonesia from 2017 to 2020, we employ a comparison of two general equations (before and during the COVID-19 outbreak) of a linear model involving several working capital policies on profitability. The study shows an anomaly that occurred during COVID-19. Companies tended to carry out aggressive working capital behavior during the COVID-19 pandemic compared to before COVID-19. The reason behind this is that the company gets incentives to defer debt payments or get additional debt facilities which are used to increase receivables and inventory. This study also shows that there is a negative influence of the financial flow cycle on profitability, both before and during the COVID-19 period. Empirical findings indicating inconsistencies in working capital behavior prove that the practice of working capital implemented by manufacturing companies in Indonesia is currently not offended to be more.
This study proposes a classification model that combines Natural Language Processing (NLP) and Machine Learning techniques to analyze 96 documents published by Banxico concerning Monetary Policy decisions related to adjusting the reference rate. The document is organized as follows. The introduction highlights the critical role of the reference rate set by Banxico in ensuring the stability and functioning of the Mexican economy. It also reviews the application of NLP in financial documents over last past decade, with a focus on research related to Monetary Policy decisions. The methodology section outlines the CRISP-DM framework used to develop the classification model. It details the steps taken, including the use of Python code to expand the training dataset and the model construction process. The result section evaluates the model’s performance, which is deemed satisfactory based on the predefined evaluation metrics. Finally, the conclusion discusses the model's limitations, suggests potential future research, and emphasizes the importance of this research in enhancing financial decisions-making through the use of the Mexican reference rate.
This research paper empirically investigates the impact of the Global financial cycle on the financial variables of Indian economy. Global Financial Cycle (GFCy) is related to the occurrence of simultaneous movements of capital flows, asset prices and credit growth. This cycle is driven by the monetary policy decisions of the Federal Reserve and the implications of the same has been examined in the existing literature in various forms. The present study empirically investigates the impact of the global financial cycle on the credit growth and asset prices of an Indian economy from 2010-to 2023. To achieve the study objective, the study applies advanced time-series econometrics methods such as the VAR approach, Granger Causality Test, and the IRF test (Impulse Response Function). The results show that, the global financial cycle has substantial impacts on the stock market and IRF, and granger causality results confirm it.
This study examines the impact of corporate social responsibility (CSR), financial performance, environmental performance, dividend policy, and firm size on investor confidence and firm value. The research uses an explanatory approach to clarify the relationships between these independent and dependent variables through rigorous hypothesis testing. The study focuses on all manufacturing companies listed on the Indonesia Stock Exchange from 2017 to 2021, with a purposive sampling method selecting 20 companies for analysis. Data collection includes descriptive statistics, classical assumption tests, and path analysis. The results show that CSR, financial performance, and firm size significantly influence investor confidence, while environmental performance and dividend policy do not. Financial performance affects firm value, but CSR, environmental performance, dividend policy, firm size, and investor confidence do not significantly impact firm value. This research contributes new insights to academic and practical fields, highlighting that signals companies send through financial performance, CSR, and firm size can influence investor trust. However, financial factors have a greater impact on firm value than non-financial factors like CSR or environmental performance. Future research could explore factors such as organizational culture or industry differences that may explain why environmental performance and dividend policy do not significantly affect investor confidence or firm value, as well as the varying impact of CSR across different sectors.
While the significance of Corporate Social Responsibility (CSR) and its role in businesses are widely acknowledged, the intricacies surrounding the catalysts compelling organizations to undertake the mantle of CSR remain less clear. Despite researchers' endeavors to comprehend the determinants of CSR, certain aspects remain obscured. This paper studies the factors influencing the level of CSR performance through the application of a Structural Equation Modeling (SEM-PLS) framework. To achieve this, a dataset encompassing 39 indicators across 1033 listed companies located in 32 countries was employed, spanning from 2005 to 2016 and seven latent variables were considered. The findings underscore that "country exposure," "corporate governance," and "company profile" positively impact CSR performance. Conversely, "ownership structure" exhibits a negative influence on CSR performance. Consequently, this study furnishes both practical and theoretical implications concerning the intricate interplay between CSR and a gamut of macro and micro-level business variables.
