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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.

The effects of ownership concentration on firm performance usually considers two conflicting perspectives: monitoring and expropriation hypotheses. Past studies have produced mix findings. This study aims to shed light on this relationship by focusing on a specific measure of firm performance, firm growth. The moderating effect of industry growth in the aforementioned relationship is also considered, which advances knowledge on the role of moderators.

This study resorts to data from a sample of 21,476 Portuguese firms, which is examined using hierarchical linear modelling. This approach is adequate because the data has a hierarchical structure: the firms are nested within industries.

The results show that equity ownership concentration has a positive effect on firms’ growth and that industry growth amplifies this relationship. Ownership concentration can spur effective monitoring, thereby alleviating principal–agent conflicts of interest and speeding up decision-making, enabling timely competitive actions that promote growth.

The research conceives ownership structure in two groups. However, equity ownership concentration often acquires more complex shapes. In addition, the data used is from a single country.

The results show that firms pursuing growing strategies and operating in growing industries benefit from equity concentration.

Different from past studies, this study focuses on firm growth performance and considers the moderating effect of industry growth.

This study investigates the behaviour of family firms, family management and family ownership regarding their socioemotional wealth (Corporate Social Responsibility (CSR)) during the COVID-19 pandemic and according to their slack resources availability.

This study employs a multiple regression analysis to analyse 245 firm-year observations from 2020 to 2021.

Family firms have a negative effect on CSR, as do family management and family ownership. Slack resources (both absorbed and unabsorbed) reduce the negative effect of family firms (and family ownership) on CSR. Unabsorbed slack resources reduce the negative effect of family management on CSR and absorbed slack resources increase the negative effect of family management on CSR. The results are robust with various measurements of slack resources. Extra analyses reveal that family commissioner has no effect on CSR.

To the best of the author’s knowledge, this is the first empirical study to analyse the impact of COVID-19 on the preservation of socioemotional wealth in family firms. This study proves the theoretical argument of prior studies that the preservation of socioemotional wealth in family firms during the COVID-19 pandemic depends on their financial condition. The study also proves that there are different attitudes among family ownership, family management and family firms concerning the use of slack resources for socioemotional wealth preservation that have not been analysed by previous research.

In the face of increasing political polarization worldwide, this study explores whether people create biased perceptions of political knowledge and how this affects their selection and evaluation of political content on YouTube.

For this study, an online experiment was conducted with 441 panels of South Korean respondents. In the first phase, participants answered 10 questions designed to capture their level of objective political knowledge, and for each question, they indicated whether they had responded to that question correctly as a means of measuring their subjective political knowledge. In the second phase, two types of YouTube thumbnails were presented to represent progressive and conservative claims on two controversial political issues, and participants rated and selected the content they would like to see.

Participants with low political knowledge perceived their knowledge as more than it really was. In contrast, participants with high political knowledge perceived their political knowledge as less than it really was. This biased perception of political knowledge influences respondents' choice and evaluation of political YouTube channel videos.

At a time when political polarization is increasing around the world, this study sought to explore how perceptions of political knowledge differ from actual political knowledge by applying the Dunning-Kruger effect. The authors also used political YouTube channels, whose role in forming public opinion and political influence is rapidly growing, to study the behavior and attitudes of a group of Korean respondents in the media according to their actual and perceived level of political literacy.

Photographs are primary source documents that, like manuscripts and printed documents, carry layers of embedded information. As an example of a research strategy that can be used to study the time, place, and context of the development of early photographic businesses in America, a project to research and geo-reference the early photographic studios in New York City using information culled from imprints, census records, city directories, and other period sources is described. This case study example will focus on analyzing photographs and photographers operating in New York City and Brooklyn from the birth of popular photography in the 1840s to ca 1870s, and what researchers can learn about the development of the urban environments during this era. The study will provide an example of a research trajectory, brief background on the processes and early photographic business development, and note some of the research challenges that arise using historic photographs to study urban environments.

In recent decades, infrastructure has continued to develop as an important basis for social development and people's lives. Resource management of these large-scale projects has been immensely concerned because dozens of construction enterprises (CEs) often work together. In this situation, resource collaboration among enterprises has become a key measure to ensure project implementation. Thus, this study aims to propose a systematic multi-agent resource collaborative decision-making optimization model for large projects from a matching perspective.

The main contribution of this work was an advancement of the current research by: (1) generalizing the resource matching decision-making problem and quantifying the relationship between CEs. (2) Based on the matching domain, the resource input costs and benefits of each enterprise in the associated group were comprehensively analyzed to build the mathematical model, which also incorporated prospect theory to map more realistic decisions. (3) According to the influencing factors of resource decision-making, such as cost, benefit and attitude of decision-makers, determined the optimal resource input in different situations.

Numerical experiments were used to verify the effectiveness of the multi-agent resource matching decision (MARMD) method in this study. The results indicated that this model could provide guidance for optimal decision-making for each participating enterprise in the resource association group under different situations. And the results showed the psychological preference of decision-makers has an important influence on decision performance.

While the MARMD method has been proposed in this research, MARMD still has many limitations. A more detailed matching relationship between different resource types in CEs is still not fully analyzed, and relevant studies about more accurate parameters of decision-makers’ psychological preferences should be conducted in this area in the future.

Compared with traditional projects, large-scale engineering construction has the characteristics of huge resource consumption and more participants. While decision-makers can determine the matching relationship between related enterprises, this is ambiguous and the wider range will vary with more participants or complex environment. The MARMD method provided in this paper is an effective methodological tool with clearer decision-making positioning and stronger actual operability, which could provide references for large-scale project resource management.

Large-scale engineering is complex infrastructure projects that ensure national security, increase economic development, improve people's lives and promote social progress. During the implementation of large-scale projects, CEs realize value-added through resource exchange and integration. Studying the optimal collaborative decision of multi-agent resources from a matching perspective can realize the improvement of resource transformation efficiency and promote the development of large-scale engineering projects.

The current research on engineering resources decision-making lacks a matching relationship, which leads to unclear decision objectives, ambiguous decision processes and poor operability decision methods. To solve these issues, a novel approach was proposed to reveal the decision mechanism of multi-agent resource optimization in large-scale projects. This paper could bring inspiration to the research of large-scale project resource management.

This article investigates how medical specialists as professionals and elective cosmetic surgery tourists as consumers relationally negotiate decisions within the cosmetic surgery clinic. Drawing on a Goffmanian approach, this article explores the processual social structures that shape consumer logics in the clinic as a social space and as a type of professional institution.

This article is based on ethnographic fieldwork in cosmetic surgery clinics in South Korea.

This article identifies two genres of professional strategies (spatial arrangements and dramaturgical performances) that are leveraged by medical specialists to assert control over and persuade consumers to purchase cosmetic surgery.

The valorization of surgery captured in this article suggests that surgical modifications may serve as another vehicle for entrenching class inequality between those able and those unable to afford surgery.

This article offers recommendations for future policymaking in terms of the regulatory oversight of the consumer profiles eligible for surgery and the marketing practices of clinics.

This article offers a micro-level account of how the high-risk good of cosmetic surgery is sold by medical specialists in charismatic and affective bids to enhance their legitimacy, authority and trust.

The emerging concept of smart city is known to aim at sustainable urban development. One of the requirements for a smart city is to address accessibility inequalities. This study aims to investigate the accessibility level issues in urban transformation before and after combining different street networks for Penang, Malaysia, as a case study to reveal greater insight and helpful information into mobility and accessibility inequalities for future smart city planning.

Using DepthmapX software, two main quantitative methodologies of space syntax, namely, spatial integration accessibility (SIA) and angular segment analysis by metric distance (ASDMA), are employed to analyse the level of accessibility for the main streets of George Town site before and after combination with contemporary networks. Integration, choice and entropy values were calculated for the study analysis.

Results revealed the implications of combining old irregular gridiron structures with the existing planned grid structures. George Town seems to have gained a higher capacity for pedestrian accessibility; however, vehicle accessibility has lost its capacity. Findings further suggest that a combination of irregular structure and grid structure is essential for urban growth in similar historical contexts to improve accessibility and address mobility inequalities.

The study concludes by highlighting the importance of the analysis of street structure transformation to predict consequences and promote the potential to reduce current inequalities in vehicle accessibility.

This paper aims to measure the extent of digital financial inclusion (DFI) and examine the effect of socioeconomic characteristics on using government remittances and the adoption of digital financial services (DFS) during the COVID-19 pandemic.

The World Bank Global Financial Inclusion (Global Findex) database 2021 is used in this study, with a sample size of 3,000 Indian individuals. The study measured the demand-side analysis of DFI, namely, accessibility and usage of DFS with selected socioeconomic characteristics such as gender, age, income, education, being in the workforce and residential status of respondents. The dependent variable is binary in nature; therefore, the logistic regression model is used for the data analysis.

The results of the study reveal that individuals’ socioeconomic factors, such as female, all the age groups, tertiary education, third- and fourth-income quintile and workforce, are found to have a significant association with “accessibility,” an exogenous variable of DFS. Besides, respondents’ socioeconomic attributes, namely, female, tertiary education, income for all quintiles and workforce, are more likely to use DFSs in the COVID-19 pandemic. The study also finds the residential status of individuals is influencing the accessibility and usage of DFS.

The findings of the study provide valuable insights to the service providers and policymakers regarding the rapid expansion of DFS by digital infrastructure, simplifying the banking procedures and highlighting the importance of digital financial literacy to accomplish government goals through serving the unbanked population and also design strategies for achieving the objectives of Digital India: “Faceless, Paperless, and Cashless” of DFI across the country.

Notable studies used World Bank Findex survey data to explore the determinants of financial inclusion in general. This research is one among the few studies to explore the determinants of India’s DFI. Moreover, this study measured the effect of individual socioeconomic attributes on the adoption of DFSs during the COVID-19 pandemic, which has not been included in prior studies. Therefore, this study has added value to the existing literature on financial technology innovation and DFS for the sustainable development of emerging nations.