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Prior studies have found that managers adjust operational activities to tackle climate risk. However, the effects of climate risk on accounting practices are largely ignored in the literature. This paper investigates whether and how climate risk influences managers’ decision-making on the level of accounting conservatism and explains the results based on two competing channels: valuation demand and contracting demand.

Using firm level climate risk measures, we build a modified Basu (1997) model to conduct our econometric tests. In the baseline model, we use earnings before extraordinary items as the dependent variable, referred to as the earnings model. We control for different levels of fixed effect to identify the shocks of climate risk and mitigate potential concerns on endogeneity and bias in the model. A series of robustness tests provide supporting evidence for our baseline results and our explanation.

Using a sample of 35,832 firm-year observations on listed US firms over the period 2002 to 2019, we find that the perception of climate risk drives managers to choose the less conservative accounting policies. We conclude that the results are consistent with the valuation demand explanation but inconsistent with the contracting demand explanation.

The study provides additional evidence on how managers respond to climate risk by adjusting their corporate polices, specifically accounting policies. Our findings contradict the results of prior studies. We explain our results from a unique perspective. Overall, the study provides valuable insights for academics, investors, managers and policymakers.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

This study investigates the impact of internal expectations, such as fantasy of success and fear of failure and external factors, such as social environment and past experiences, on entrepreneurial choice.

Based on achievement motivation and social cognitive theories, the authors construct hypotheses and use secondary data from the Global Entrepreneurship Monitor (GEM) database and Economic Freedom Index report to empirically test the hypotheses. The authors also use propensity score matching to solve the endogeneity issue and test the robustness.

Internal expectations (fantasy of success and fear of failure) on business outcomes inversely affect entrepreneurial choices, with a vibrant business environment amplifying and past failure experience mitigating these effects.

Due to the economic recession, governments encourage small businesses. Thus, the complexity of individual entrepreneurial motivations and influencing factors necessitate deeper exploration. This study is one of the first research offering insights into entrepreneurial motivations from combined dimensions and providing theoretical support for strategies promoting public entrepreneurship.

This paper aims to explore the relationship between board composition and a firm’s commitment to combatting climate change. Specifically, this study investigates how various characteristics of the board, namely its size and presence of independent directors, and of the directors themselves, including gender diversity, age, educational background and national homogeneity, affect the corporate-level climate change orientation. From a theoretical standpoint, the authors take a cross-fertilizing perspective, bridging upper echelons theory with agency, resource dependence and critical mass theories.

The study uses ordered probit regression models on a hand-collected multi-country and multi-industry sample of 35 listed firms included in the Global Climate Change Liquid Equity Index (GALPLACC) provided by ECPI. This index is particularly relevant as it focuses on firms that have demonstrated a commitment to climate change, providing a robust dataset for the analysis.

The findings underscore the importance of disentangling various characteristics of corporate boards and directors. Specifically, the orientation toward climate change is negatively influenced by both board size and having a higher number of independent directors, while it is positively affected by reaching a critical mass of women on the board. Conversely, factors such as average age, educational background and the level of national homogeneity do not show significant effects.

This paper has an exploratory nature and contributes to the ongoing debate on the crucial, yet controversial role played by board-level and directors’ sociodemographic characteristics in shaping a firm’s environmental stance. Moreover, this study offers potential recommendations for policymakers regarding board composition to enhance firms’ climate change orientation.

In this article, the research objective is to empirically investigate the effect of the adoption of the Brazilian instant payment system, Pix, on the local credit market structure and the diversification of the banking system in Brazilian municipalities.

By analyzing the data, in this study, we compile and align data from supervisory and public sources, covering the period from 2019 to 2022 in Brazil. As of 2014, Brazil was comprised of 5568 municipalities distributed across five regions: North (450 municipalities), Northeast (1792), Midwest (467), Southeast (1668) and South (1191), according to the Brazilian Institute of Geography and Statistics (IBGE). Our analysis relies on the volume and quantity of Pix to the outstanding credit operations in Brazil.

This article provides evidence that the widespread adoption of Pix has impacted the financial structure of municipalities. This analysis of banking concentration in the country and municipalities, based on banking relationships, helped us assess whether the adoption of Pix had any correlation with the increase in credit lines. Overall, the results from the statistical tables suggest that the adoption of Pix may be having a positive impact on the local credit market structure.

The originality contribution of the study is to initiate an investigation into the impact of this instant payment system, Pix, on the Brazilian reality. Pix was launched in 2020, amid the COVID-19 pandemic, and had significant numbers, such as over 61% of the adult population having at least one Pix key registered in a little over a year; about 100 million people made at least one payment with Pix; and more than 1.4 billion transactions per month, with 72% between individuals, as presented by the REB 2021.

The purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV).

(1) Literature review and case study were used to identify the possible influencing factors; (2) a semi-structured interview was conducted to identify representative factors and the interrelationships among influencing factors; (3) ISM was adopted to identify the hierarchical structure of factors; (4) MICMAC was used to analyze the driving power (DRP) and dependence power (DEP) of each factor and (5) Semi-structured interview was used to propose strategies for overcoming SIV.

Results indicate that (1) 18 representative factors related to SIV were identified; (2) the relationship between these factors was divided into a five-layer hierarchical structure. The 18 representative factors were divided into driving factors, dependent factors, linkage factors and independent factors and (3) 12 strategies were presented to address the negative effects of these factors.

The findings illustrate the factors influencing SIV and their hierarchical structures, which can benefit the stakeholders and practitioners of an infrastructure project by encouraging them to take effective countermeasures to deal with related SIVs.

Money management practices among couples from 27 countries were studied to understand how they reflect egalitarian values. The welfare system was used as a classification criterion, to account for the distinct socio-political contexts in which couple relationships are formed.

The data are sourced from the 2012 Survey on Family and Changing Gender Roles of the International Social Survey Programme. The analytical strategy used has been binary logistic regression.

The results demonstrate that participation of the woman in the household economy and financial decision-making indicates higher levels of egalitarian values in the couple. Couples who distinguish between a common fund and individual funds demonstrate more egalitarian values than those who have only a common fund. Besides, symmetry in the couple in terms of the income level of each partner increased the probability of having more egalitarian values. Greater equality was found among couples who resided in countries with a Mediterranean welfare system.

The paper makes an original contribution to the field of sociology and social policy by focus on couples' money management and improve understanding of the finance-well-being nexus.

This study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic conditions and varying levels of ICT specialists.

The research employs a dynamic panel data model using the System Generalized Method of Moments (GMM) to analyze the relationship between brain drain and government AI readiness from 2018 to 2022. The study incorporates various control variables such as GDP per capita growth, government expenditure growth, employed ICT specialists and several governance indicators.

The results indicate that brain drain negatively affects government AI readiness. Additionally, the presence of ICT specialists, robust governance structures and positive macroeconomic indicators such as GDP per capita growth and government expenditure growth positively influence AI readiness.

Major limitations include the focus on a specific region of countries and the relatively short period analyzed. Future research could extend the analysis with more comprehensive datasets and consider additional variables that might influence AI readiness, such as the integration of AI with emerging quantum computing technologies and the impact of governance reforms and international collaborations on AI readiness.

The theoretical value of this study lies in providing a nuanced understanding of how brain drain impacts government AI readiness, emphasizing the critical roles of skilled human capital, effective governance and macroeconomic factors in enhancing AI capabilities, thereby filling a significant gap in the existing literature.

This research fills a significant gap in the existing literature by providing a comprehensive analysis of the interaction between brain drain and government AI readiness. It uses control variables such as ICT specialists, governance structures and macroeconomic factors within the context of the European Union. It offers novel insights for policymakers to enhance AI readiness through targeted interventions addressing brain drain and fostering a supportive environment for AI innovation.

This paper analyses the role of intellectual capital (IC) as a factor of the financial performance of entrepreneurial firms, which are recognized as the main drivers of economic growth and employment.

The sample consists of 188 business owners from Serbia. The primary data are collected using the questionnaire, while the secondary data come from the annual financial statements of their companies. The elements of IC as independent variables are grouped into three components: human, structural and relational capital; sales revenue and operating profit CAGR (5y) are used as dependent variables, while company size and industry type are used as control variables. Statistical analysis involves factor and regression analyses.

The results reveal that IC components contribute to the long-term financial performance of entrepreneurial firms. Specifically, the following elements have positive effects on financial performance: knowledge of the entrepreneur, process improvement and organisational culture. On the other hand, entrepreneurs’ social skills and tenacity were found to have a negative impact on revenue and operating profit growth, while support from informal networks had a negative effect on the growth of sales revenue.

This study aims to fill a gap in the literature on the impact of IC on the financial performance of entrepreneurial firms.

The study aims to explore how the monitoring and resource provision function of board of directors impact the association between ownership concentration and small- and medium-sized enterprise (SME) initial public offering (IPO) underpricing in the context of an emerging economy like India.

The sample comprises 390 SME IPOs listed on Bombay Stock Exchange SME platform and National Stock Exchange EMERGE (EMERGE is the NSE new initiative for SMEs to raise the funds from investors) in India. To test the moderating impact of the board monitoring role and resource provision role, the study employs hierarchical moderated regression subject to the fulfillment of assumptions.

The findings divulge that ownership concentration significantly reduces underpricing, hinting towards the operationalization of alignment of interest hypothesis. With regards to moderating relationship, the study found that while board resource providing role negatively moderates the relationship between ownership concentration and SME IPO underpricing, board monitoring function fails to cast any significant impact on the relationship between ownership concentration and SME IPO underpricing.

The present study ignores larger firms listed on the main platform which have complex decision-making than smaller firms. Besides, it is confined to only a single country, i.e. India. Extending the study to other countries with similar institutional characteristics would have validated the findings. Furthermore, the moderating impact of other organizational factors like firm age, lifecycle of firm and change in technology would form an interesting avenue for future research.

The findings of the study have practical implications for managers in designing the adequate board structure that significantly reduces underpricing. It thus further advices the issuers on focusing more on strengthening the resource provision role of board of directors for achieving higher rewards. The findings are helpful to policymakers in framing such policies that enhance the resource-oriented role of board of directors and resource accessibility for SMEs. Furthermore, the results advise the investors to be relatively assured about the SMEs whose board exercises its resource provision role emphatically. Accordingly, findings are helpful to investors in making investment decisions in alternative market settings characterized by the concentrated ownership structure.

The study furthers the debate on the importance of two prominent roles played by board as a moderating variable in the underexplored context of IPO underpricing of small and medium-sized firms in India.