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The present paper tests the use of an agricultural futures minimum tracking error portfolio to replicate the price of the Mexican Hass avocado (a non-commodity). The motivation is that this portfolio could be used to balance the basis risk that the avocado price hedge issuer could face. By performing a backtest of a theoretical avocado producer from January 2000 to September 2023, the results show that the avocado producer could hedge the avocado price by 94%, with the hedge offered by a theoretical financial or government institution. Also, this issuer could balance the risk of such a hedge by buying a coffee–sugar futures portfolio. The cointegrated or long-term relationship shows that using such a futures portfolio is useful for Mexican Hass avocado price hedging. This paper stands as one of the first in testing futures portfolios to offer a synthetic hedge of non-commodities through a commodities' futures portfolio. [ABSTRACT FROM AUTHOR]

The need for energy in different global industries encourages the development and application of clean energy. Tourism, being a global development sector, requires energy to maintain the comfort of tourists. The development of technology requires basic science and application studies that allow us to know the scientific evolution and trends in research, which is of great relevance in the fields of tourism and renewable energy. Within this context, the aim of the article is to analyze the evolution of research publications focused on renewable energy and tourism indexed in Scopus from 2008 to 2023 using a bibliometric approach. The search strategy identified 90 documents. Tools such as VOSviewer (version: 1.6.18) and Power BI (version: 13.0.23776.64) were used to assist in conducting the bibliometric analysis and network. The results of this work indicate that there is a growth in the authors' interest in renewable energy and tourism, with a specific growth rate of 0.1927 years−1. "Environmental Science and Pollution Research" is the journal with the most publications, and China ranks first in publications. Authors prefer to publish in Q1 and Q2 journals to increase the reach of their publications. [ABSTRACT FROM AUTHOR]

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The advancement of Artificial Intelligence (AI) is progressing rapidly, compelling companies to integrate it within their operational frameworks to sustain competitiveness, primarily driven by its impact on organizational agility (OA). Nevertheless, the absence of a robust theoretical framework underscores the limited understanding of the relationship between AI and OA. Within this context, the research aims to establish foundational knowledge, delineate the evolutionary trajectory of the topic, and identify prospective avenues for inquiry. To achieve this objective, bibliometric analysis is employed to gain comprehensive insights into the interplay between these variables and discern trends within this research domain. The utilization of the Web of Science (WoS) and Scopus databases up to January 2024 facilitates data collection, while Bibliometrix and Visme are instrumental in crafting a scientific production map. The analysis corroborates the novelty and growth potential of the subject matter, underscoring heightened author interest, particularly evident in 2023, against a backdrop of sparse and temporally dispersed publications until 2017. Notably, the prevalence of conference papers on this topic stands significantly high at 26.98 % in comparison to the total contributions, indicative of the research community's engagement. Furthermore, the findings underscore a robust association between the keywords AI and OA, delineating a burgeoning research domain that converges with the digital transformation of enterprises and the Theory of Standardization Process. The effective integration of AI into corporate operational frameworks marks the zenith of this transformative process, ushering in the genesis and overhaul of organizational routines. This study represents a pioneering endeavour within the literature, as it constitutes the inaugural bibliometric exploration of this subject matter. Moreover, it serves to underpin the establishment of theoretical underpinnings for future research endeavours as it outlines current trends and emerging future research trajectories, concerning the role of AI in OA. [ABSTRACT FROM AUTHOR]

This paper tests using two-regime Markov-switching models with asymmetric, time-varying exponential generalized autoregressive conditional heteroskedasticity (MS-EGARCH) variances in random-length lumber futures trading. By assuming a two-regime context (a low s = 1 and high s = 2 volatility), a trading algorithm was simulated with the following trading rule: invest in lumber futures if the probability of being in the high-volatility regime s = 2 is lower or equal to 50%, or invest in the 3-month U.S. Treasury bills (TBills) otherwise. The rationale tested in this paper was that using a two-regime Markov-switching (MS) algorithm leads to an overperformance against a buy-and-hold strategy in lumber futures. To extend the current literature in MS trading algorithms, two location parameter scenarios were simulated. The first uses an unconditional mean or expected value (no factors), and the second incorporates market and behavioral factors. With weekly simulations form 2 January 1994 to 28 July 2023, the results suggest that using MS-EGARCH models in a no-factors scenario is appropriate for active lumber futures trading with an accumulated return of 158.33%. Also, the results suggest that it is not useful to add market and behavioral factors in the MS-GARCH estimation because it leads to a lower performance. [ABSTRACT FROM AUTHOR]

La revisión bibliográfica previa a la realización de este trabajo de investigación nos ha permitido constatar que, en el ámbito de la gestión de la calidad, son necesarios trabajos de investigación empírica que analicen la estructura de las relaciones entre los factores críticos de la calidad y los resultados. En este contexto, hemos realizado un estudio empírico en 186 empresas de alojamiento turístico certificadas con la marca «Q de Calidad Turística» en Espa˜na, en el que se analiza la estructura de las relaciones entre los factores críticos de la calidad y los resultados de calidad. Se propone un modelo basado en la teoría junto con las hipótesis a contrastar, y se valida con la técnica de modelos de ecuaciones estructurales. Los resultados obtenidos muestran que las empresas que desean mejorar los resultados de la calidad deben tener en cuenta que los factores críticos que más influyen son la política y la planificación de la calidad junto con el liderazgo. Este último factor está directa y positivamente relacionado con las alianzas y los recursos, la política/planificación de la calidad, la gestión de los empleados y el aprendizaje.

Debates on how growth and urbanization affect the environment have been intense, but they lack the global perspective. Therefore, this research examined those relationships, and to a greater extent other forms of global environmental degradation, such as foreign direct investment (FDI). It also explored the relationships between industrialization and technologies. The results, using Westerlund cointegration and quantile regressions over the period 1995–2017, show cointegration and regional heterogeneities in the environmental transmissions of economic development, industrialization, renewable energy, urbanization and FDI. The results show that economic development generates more environmental degradation in all quantiles at a global level, whereas urbanization and renewable energy reduce environmental degradation in all quantiles, with the highest effect being in the upper quantiles. On the other hand, industrialization affects the lower quantiles negatively and significantly but affects the upper quantiles positively. Finally, the empirical analysis supports the paradise haven or pollution halo hypothesis (PHH) for the 40th, 50th, 60th and 80th quantiles. This suggests that FDI inflows have a detrimental effect on the host country for these quantiles. Therefore, among the objectives of the policies are to give priority to more sustainable economic growth processes, which contribute to reducing environmental degradation, and furthermore to reinforce strict environmental laws on investment inflows and to build sustainable urbanization and industrialization processes for countries. [ABSTRACT FROM AUTHOR]