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This study aims to examine the price and income elasticities of short- and long-run industrial electricity demand in Brazil between 2003 and 2020. The research also examines the impacts of COVID-19 in Brazil’s industrial electricity sector, including an analysis in states more and less industrialized.

Dynamic adjustments models in panel data are used to present robust estimates and analyze the impact of different methodologies on reported elasticities.

The short-run price elasticity is estimated at −0.448, while the long-run values are around −1.60. Regarding income elasticity, the value is 0.069 in the short-run and is concentrated in 0.25 in the long-run. The inelastic results of income show that the industrial demand for electric energy follows the trend of loss of competitiveness of the Brazilian industry in the past years. In addition, the price of natural gas, the level of employment, and, in specific cases, the level of imports also influence industrial electricity demand.

The research is a pioneer in the investigation of the industrial behavior of electricity of the Brazilian industrial branch, using as control variables, the average temperature, and the level of rainfall, this one, so important for a country whose main source is hydroelectric. In addition, to the best of the authors’ knowledge, it is the first study, which is prepared to analyze the effects of COVID-19 on electric consumption in the industrial sector, investigating these impacts, including in the states considered more and less industrialized. The estimates generated may help in the design of the Brazilian energy policy.

The purpose of this paper is to explore the impact of documentation on the educational experiences, college readiness and aspirations of undocumented Latinx migrant and seasonal farmworkers.

This ethnographic study was conducted in a High School Equivalency Program at a large university in the Midwest. Data was collected during two semesters across a three-year span. Participants included six Mexican migrant and seasonal farmworkers who were preparing to earn their General Educational Development (GED) diploma. Using the grounded theory, data was collected and analyzed simultaneously where initial and focused coding took place, followed by cross-case analysis.

Analysis of student interviews, participant observations and in-depth fieldnotes that include the K-12 educational experiences, experiences during and after the High School Equivalency Program reveal that undocumented Latinx migrant and seasonal farmworkers aspire to earn a GED diploma to access a better future inclusive of college. However, the legal liminality, the uncertainty and ambiguity of being undocumented, impacts their educational journey prior to, during and beyond the High School Equivalency Program. Furthermore, undocumented Latinx migrant and seasonal farmworkers are unable to change their material conditions with a GED because of their documentation status.

Although researchers have studied the education experiences of Latinx migrant and seasonal farmworkers, analysis and consideration of documentation status is missing. This study contributes much needed findings about the impact of documentation status on the educational experiences, college readiness, and aspirations of Latinx migrant and seasonal farmworkers.

This paper aims to investigate the role of corruption and income inequality in three-dimensional sustainable development in the post-Soviet countries.

The methodology is based on dynamic panel regression with the fixed effects approach.

The authors' findings depict that increasing corruption and income inequality undermine sustainable development. Specifically, increasing corruption and income inequality negatively affect sustainable development. Moreover, unemployment and trade liberalization negatively impact sustainable development, whereas foreign direct investments (FDIs) positively affect sustainable development.

Policy implications enclose galvanizing strong institutions and redistributive policy mechanisms that the bottom income groups enjoy in promoting sustainable development to keep away the distressful phase of corruption and income inequality.

This is the first paper on corruption, income inequality and sustainable development in the post-Soviet countries employing a sustainable development index (SDI), which is calculated by considering three factors including economic, social and environmental development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0065

The technological and digital revolution has introduced important changes in the tourism industry. However, capturing the extent of the new tourism 4.0 paradigm is still difficult. This study aims to assess the dimensions related to the concepts of industry 4.0 in tourism and hospitality, tourism innovation and tourism ecosystem when considered simultaneously, and their role in promoting a new wave of competitiveness in the tourism industry.

A bibliometric study was conducted based on tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem using 120 eligible articles published between 2008 and 2021 from the Web of Science database.

This study demonstrated the advances in industry 4.0 in tourism and hospitality publications over 13 years and identified five interconnected dimensions: (1) knowledge transfer in tourism; (2) networking tourism innovation; (3) sources of tourism innovation; (4) smart tourism ecosystem and (5) innovation research in tourism. It was also concluded that tourism development should be a regional competence based on strategic networking and externalisation of regional knowledge flows.

This bibliometric review provides important implications and recommendations for several players of industry 4.0 in tourism and hospitality and policymakers. Not only did it make it possible to create a state of art, but also to categorise the existing interconnections between the dimensions of Tourism 4.0, Hotel 4.0, Tourism innovation and Tourism ecosystem to optimise its implementation and generate greater value. In addition, practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and actors in this sector.

Apart from state of the art, this bibliometric review made it possible to categorise the existing interconnections between the dimensions of tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem to optimise its implementation and generate greater value. Practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and several players in this sector.

This study addresses the existing literature gap in the interconnection of industry 4.0 with tourism and hospitality by describing the most relevant conceptual interconnections and setting practical implications for improving the competitiveness of the tourism industry. Furthermore, it integrates previous studies and outlines future lines of investigation.

Purpose: This chapter aims to perform text analysis to investigate the academic area delimitated by economic and financial performance and money laundering.

Need for the study: The findings contribute to the body of literature by providing important insights in terms of money laundering and financial performance.

Methodology: In order to achieve the research objective, further than 640 papers were retrieved from the Web of Science from 1994 to 2022, concentrating on the most referenced documents found in the superior quartile.

Findings: The empirical findings emphasise that the article with the unique words Fraud Detection System: A Survey by Abdallah A., Maarof M. A., and Zainal A., examines a complete and systematic assessment of the concerns and obstacles that impede the performance of fraud detection systems. Furthermore, topic modelling findings highlighted the presence of four main topics: topic 1 – identified by ‘performance’, ‘firms’, ‘financial’, ‘fraud’, and ‘board’; topic 2 – described in terms of ‘fraud’, ‘accounting’, ‘evidence’, ‘audit’, and ‘research’; topic 3 – identified by ‘firms’, ‘fraud’, ‘financial’, ‘CEO’, and ‘results’ while topic 4 – identified through ‘fraud’, ‘detection’, ‘data’, ‘cost’, and ‘card’.

Practical implications: This study will act as a guide for researchers of the financial performance field to explore the scientific publications in the field of money laudering.

The purpose of this paper is to investigate the role of socio-political interactions in determining the topos of sustainability reporting (SR) practice. For this purpose, this study harnesses pragmatic constructivism perspective to identify facts, possibilities, values and communication of SR practice.

This study adopts a systematic literature review approach using a sample of 167 articles from 54 academic journals.

The results of this study indicate that companies in their SR are driven by self-interest, treating disclosure as a mean in itself and neglecting its role in sustainability transition. In the light of the results, this study proposes three main avenues for further research: the interplay of institutional, organizational and individual factors as drivers for transparency; approaches to improve the quality of SR; and (3) sustainability impact of SR.

The past decade has seen a proliferation of literature on the practice of SR. One of the most influential streams in studies on SR has been grounded in socio-political theories with legitimacy, stakeholder and institutional theories on the front. Nevertheless, there is still no systematic and comprehensive overview of this rich literature. This study offers a comprehensive framework which conceptualizes SR as a social construct defined by the interplay between various, often conflicting institutional demands.

Listening to and considering children's voices shows respectful regard for children's needs, interests and experiences, and helps discern what is meaningful for them in a particular subject or situation. Creating opportunities for the expression of children's voices implies child-centred practice: recognising children as active agents, with evolving competences and capacity to understand, think and choose with some degree of autonomy, thus being able to influence decision-making. Therefore, the commitment to listen to children's voices represents a fundamental step towards empowering children and supporting their participation rights. Importantly, children have the right to be heard and to have their voices considered from the earliest ages, in their significant relational contexts, such as early childhood education and care (ECEC). Listening to and valuing children's multiple voices in ECEC can be done in many ways, ensuring the context, children's background, characteristics and preferences are respected. In this chapter, we address the specificities of listening to children's voices and taking them into account in ECEC. We discuss common challenges that may prevent the full expression and consideration of children's voices, and ways to overcome them, to ensure children's meaningful participation in what matters to them and support them in becoming active citizens in society.

This study aims to analyze communication from the perspective of social marketing, positive emotions, and the topics chosen by Spanish tourist destinations to show their destination image. Additionally, this research shows a message classification model, based on the aforementioned characteristics, that has generated a greater impact, offering clarity to tourism managers on the type of content they should publish to achieve greater visibility.

The methodology used in this work combines content analysis and data mining techniques. The classification tree using the chi-square automatic interaction detector (CHAID) algorithm was selected to determine predictors of like behaviour.

The results show that the predictor variables have been emotions, social marketing and topics. Also, the characteristics of the messages most likely to have a high impact are those related to emotions of joy or happiness, their purpose is behavioural, and they talk about rural, cultural issues, special dates, getaways, or highlights of a town or city for something specific.

This study is the first to analyze the content of the tweets shared by destination tourism managers from a social marketing, positive emotions, and sustainability perspective, determining the possible predictors of likes on Twitter. The authors contribute to the literature by deepening the understanding of how social marketing and the positive emotions promoted drive a more significant impact in tourism communication campaigns on social media. The authors provide destination managers with a way better to understand the variables relevant to users in tourism content.

This paper explores the similarities and differences in privacy attitudes, trust and risk beliefs between younger and older adults on social networking sites. The objective of the article is to ascertain whether any notable differences exist between younger (18–25 years old) and older (55+ years old) adults in how trust and risk are influenced by privacy concerns upon personal information disclosure on social media.

A Likert scale instrument validated in previous research was employed to gather the responses of 148 younger and 152 older adults. The scale was distributed through Amazon Mechanical Turk. Data were analyzed through partial least squares structural equation modeling.

No significant differences were found between younger and older adults in how social media privacy concerns related to trust and risk beliefs. Two privacy concern dimensions were found to have a significant influence on perceptions of risk for both populations: collection and control. Predictability and a sense of control are proposed as two conceptual approaches that can explain these findings.

This article is the first one to explore age differences in privacy concerns, trust and risk on social media employing conceptual developments and an instrument specifically tailored to the social media environment. Based on the findings, several strategies are suggested to keep privacy concerns on social media at a minimum, reduce risk perceptions and increase users' trust.