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Purpose: This study quantitatively assesses the impact of ESG profile on equity value and risk, as well as identifies potential differences occurring in different sectors, based on the data of the Nasdaq Nordic market.

Methodology: To reach this purpose, (i) the stock return and volatility analysis is being conducted (using the methods of paired sample t-test, correlation, etc.), and (ii) panel data models with constant, fixed and random effects are being constructed. The analysis is based not only on the company’s ESG performance but also on a cross-sectoral approach.

Findings: The results revealed that although ESG factors appeared to have a significant impact in most of the constructed models, the impact of these factors varies depending on the sector.

Implications: This research provides a comprehensive and comparative approach to the importance of the ESG profile for investment performance and therefore can be useful both for impact investors making investment decisions in dynamic global financial markets and for companies developing or reforming their ESG strategies.

Limitations: Due to the problem of data availability, the cross-sectoral comparison was performed based on the limited number of sectors. In addition, the limited availability of ESG data in the analysed market did not allow the use of additional methods to assess the impact of ESG.

Future Research: Expanding the data sample and assessing the impact of a company’s ESG profile not only in different sectors but also in different phases of the economic cycle might be the direction for future research.

This study examines the impact of firm-level climate risk exposure (FCRE) on firm stock liquidity by using a sample of Indian-listed firms from the financial years 2003–2004 to 2022–2023. Further, it endeavors to investigate the moderating role of environmental, social and governance (ESG) disclosure in this relationship.

A novel text-based FCRE metric is introduced using a sophisticated Word2Vec model through a Python-generated algorithm for each firm and year based on the management discussions and analysis (MD&A) reports. The panel fixed effect model is used to study how FCRE affects stock liquidity.

The result shows that FCRE negatively affects firms’ stock liquidity, and the effect remains robust after addressing endogeneity concerns. In addition, we find that a high ESG disclosure rating significantly moderated the adverse effect of FCRE. Furthermore, our analysis reveals that investor sentiment, information quality, corporate life cycle and institutional holdings moderate the impact of FCRE on liquidity.

The study offers valuable insights for investors, managers and policymakers on integrating climate risk into investment strategies, improving corporate climate governance and shaping policies that incentivize sustainable corporate behavior.

To the best of our knowledge, this study is an early study to explore the relationship between firm-specific climate risk exposure and stock liquidity using advanced machine learning techniques. It contributes to the existing literature by illustrating how climate risk can lead to adverse market reactions while highlighting the critical roles of corporate ESG practices, investor sentiment and disclosure quality in influencing this relationship.

This paper aims to examine the relationships among environmental, social and governance (ESG) practices, innovation and economic growth in five Asian countries from 1990 to 2020.

The study innovatively constructed the ESG index at the country level by using frequency statistics on text mining and factor analysis for each country over time. In addition, this study used the autoregressive distributed lag method to establish a long-term relationship.

The authors discovered that ESG practices among corporate entities significantly impact economic growth in Malaysia, the Philippines and Singapore. Specifically, the environmental component positively affects the growth of Malaysia, Thailand and the Philippines, while the governance components of ESG contribute to Thailand’s economic growth. The authors also discovered that innovation improves countries’ economic growth, thus offering policy insights into promoting ESG practices and stimulating the ecosystem for innovation.

The paper fills the gap left in previous inconclusive findings on the association between ESG practices and country growth.

This case reviews the development of Dianping. After seeing Zagat's unique business model in the United States, founder Zhang Tao found that he could bring it to China and bring about local innovation. At the beginning of its establishment, the collection and promotion of comment content was the major challenge for Dianping. At the same time, Dianping faced legal issues. To solve these problems, the review mechanism of Dianping was designed to a certain extent to ensure the fairness of the review. With the advent of the mobile Internet era, Dianping began to develop a new business model. Relying on its high-quality “word-of-mouth” content and mass basis, Dianping launched group buying, online restaurant ordering, and other businesses. Dianping has always been open to strategic partners. Since 2015, Dianping has undergone historical changes, merging with Meituan. Since then, Dianping has continuously adjusted its business and organizational structure to maintain its competitiveness. Gradually, Dianping has changed from an independent business entity into a business unit of Meituan.

Total risk score (TRS) is considered one of the main indicators for risk evaluation. Several studies attempted to employ different types of risk indices for the evaluation of cost overrun causes. Hence, this study aims at performing a comparative analysis to evaluate the efficiency of three different approaches for TRS calculation.

Thirty-eight unique causes of cost overrun in urban-related construction projects were identified and a survey was conducted among construction professionals in Iran. The TRS for each cost overrun cause is calculated using single-attribute (SA), double-attribute (DA), and multiple-attribute (MA) approaches, and eventually, causes were ranked. Furthermore, principal component analysis (PCA), logistic regression analysis (LRA), and K-means clustering are utilized to compare the differences in the generated TRS using different approaches.

The results revealed that the TRS generated through the MA approach demonstrated the highest efficiency in terms of generating correlation between causes and their identified latent constructs, prediction capability, and classification of the influential causes in the same group.

The originality of this study primarily stems from the adoption of statistical approaches in the evaluation of the recently introduced TRS calculation approach in comparison to traditional ones. Additionally, this study proposed a modified application of the relative importance index (RII) for risk prioritization. The results from this study are expected to fulfill the gap in previous literature toward exploring the most efficient TRS calculation approach for those researchers and practitioners who seek to utilize them as a measure to identify the influential cost overrun causes.

The purpose of this study is to analyze the strategies that allow sowing social entrepreneurship initiatives among young university students in Latin America. This study will also help to understand the different needs and expectations currently treated in higher education in developing its role as a promoter of entrepreneurship in students.

The study uses a multinomial logistic regression method analysis based on data collected through an online survey and applied to a sample of 599 advanced business administration students in five Latin American countries.

The results indicate that three of the independent variables under study are relevant as strategies to instill in university students the initiative for creating social entrepreneurship: establishing links with social communities, providing entrepreneurial education with a social orientation, and offering financial education.

These research findings indicate the role universities should have in promoting social entrepreneurship in university students. Therefore, the proposed strategies are crucial to improving this type of entrepreneurship.

The main contribution of this study is to analyze issues as crucial as social entrepreneurship in Latin American university students and broaden knowledge of the main strategies universities in this region must adopt so that students launch into the social area.

El propósito de este estudio es analizar las estrategias que permitan sembrar iniciativas de emprendimiento social entre jóvenes universitarios de América Latina. Esto permitirá conocer las diferentes necesidades y expectativas que se tienen actualmente en la educación superior en el desarrollo de su papel como promotor del emprendimiento en los estudiantes.

El estudio utiliza un análisis método regresión logística multinomial basado en datos recopilados a través de una encuesta en línea, aplicada a una muestra de 599 estudiantes avanzados de administración de empresas en cinco países latinoamericanos.

Los resultados evidencian que tres de las variables independientes en estudio son relevantes como estrategia para sembrar en los estudiantes universitarios la iniciativa de crear emprendimiento social: el tener vínculos con las comunidades sociales, otorgar educación emprendedora con orientación social y el brindar educación financiera.

Los hallazgos de esta investigación señalan el rol que deben de tener las universidades para fomentar el emprendimiento social en los estudiantes universitarios. Por lo tanto, se proponen estrategias claves para mejorar este tipo de emprendimientos.

La principal contribución de este estudio es analizar temas tan importantes como el emprendimiento social en los estudiantes universitarios de América Latina y ampliar el conocimiento de las principales estrategias que deben adoptar las universidades de esta región para que los estudiantes se lancen en el área social.

O objetivo deste estudo é an analisar as estratégias que permitem semear iniciativas de empreendedorismo social entre jovens universitários da América Latina. Permitirá conhecer as diferentes necessidades e expectativas atualmente tratadas no ensino superior no desenvolvimento do seu papel de promotor do empreendedorismo nos alunos.

O estudo utiliza um método de análise de regressão logística multinomial baseado em dados coletados por meio de uma pesquisa on-line, aplicada a uma amostra de 599 estudantes avançados de administração de empresas em cinco países latino-americanos.

Os resultados mostram que três das variáveis independentes em estudo são relevantes como estratégia para incutir nos estudantes universitários a iniciativa de criar empreendedorismo social: ter ligações com comunidades sociais, proporcionar educação empreendedora com orientação social e fornecer educação financeira.

Os resultados desta investigação indicam o papel que as universidades devem ter na promoção do empreendedorismo social nos estudantes universitários. Portanto, as estratégias propostas são fundamentais para melhorar esse tipo de empreendedorismo.

A principal contribuição deste estudo é analisar temas tão importantes quanto o empreendedorismo social nos universitários latino-americanos, e ampliar o conhecimento das principais estratégias que as universidades desta região devem adotar, para que os estudantes se lancem na área social.

The COVID-19 pandemic resulted in significant declines in international tourist arrivals and receipts. It has also influenced destination preference, tourist demographic, travel motivation, and behavior. Recognizing health and safety as the new considerations in pursuing tourism activities in the better normal, this necessitated a reassessment of the current tourism industry by directing the attention from the usual destination-centric perspective to a value chain perspective. This chapter proposes a new paradigm for the better normal value chain by deconstructing the concepts of travel, tourism, and travel sectors and revisiting the concept of the tourism value chain (TVC) by mapping out the chain and its functional levels and integrating travel, tourism, and hospitality sectors in one value chain. Policymaking approaches such as reorganizing the value chain, empowering stakeholder involvement through coopetition, and resilience building in the face of possible adversities in the future should be adapted to achieve this suggested paradigm's goals. This analysis provides stakeholders with a broader understanding of the needed interventions in future-proofing the industry backed by industry trends in the better normal while fostering collaboration and offering flexibility to cope better in other possible shocks in the future.

This study aims to examine the link between financial reporting quality and investment efficiency in publicly listed firms in frontier markets, taking into account country-level investor protection. By comparing real and accrual earnings management, this paper demonstrates the context-dependent nature of the impact of financial reporting quality. It emphasises the importance of improving investor protection and reducing agency conflicts in promoting investment efficiency in frontier markets.

Accounting data from 1998 to 2020 are collected for all listed firms in six frontier market countries across 21 industries. Fixed-effect regression analysis is used to test causal relationships; several robustness checks are performed; and two-stage least squares is used to address endogeneity concerns.

Higher financial reporting quality improves investment efficiency in frontier markets. Furthermore, the positive effect is amplified when country-level investor protection in frontier markets is strong.

These findings add to the growing body of evidence showing that financial reporting quality improves investment efficiency, even in frontier markets. Furthermore, the level of investor protection within a country strengthens this relationship, particularly in firms that are prone to underinvestment.

This study aims to develop a scale using item response theory (IRT) to assess the entrepreneurial potential for digital transformation in Brazilian companies.

IRT was used to develop a scale for entrepreneurial potential in digital transformation. This scale was constructed from a questionnaire, covering the domains: (1) data-driven culture, (2) openness to knowledge and adaptation to change, (3) connectivity and (4) creativity and innovation. The questionnaire was administered to a sample of 216 entrepreneurs from small business enterprise (SBE) and startups in Brazil.

A questionnaire was developed and validated to assess the latent trait of entrepreneurial potential within the context of digital transformation. Additionally, a three-level scale of entrepreneurial potential was established: low (level I), intermediate (level II) and high (level III). The interpretation of this scale provides valuable information on which domains, such as data-driven culture, innovation, among others, can be enhanced to improve the potential of entrepreneur for digital transformation.

The sample was limited to small Brazilian companies and startups, which may restrict the applicability of the results to other business or geographic contexts. Additionally, the items evaluated in the scale may not fully capture all nuances of entrepreneurial potential for digital transformation. Future research should consider including new items that cover a broader range of entrepreneurial characteristics.

The findings of this study have significant practical implications for the Brazilian entrepreneurial ecosystem, the entrepreneurs themselves, public policy makers and entrepreneurship support institutions. These results can guide digital transformation strategies, adjustments in public policies and investments, thereby promoting economic development and innovation in the country.

This study stands out for using IRT as a robust methodology to develop an interpretative scale to assess entrepreneurial potential in the digital transformation era. By focusing on Brazilian SBEs and startups, the study offers an original contribution on how these companies are handling the challenges of digitalization and identifying areas for improvement to further promote digital transformation among entrepreneurs.

By considering the challenges of Industry 5.0, the purpose of this study is to analyze the role of heuristic factors in the technical qualities and emotions of Millennials and Generation Z (Gen Z) to assess their acceptance of the use of artificial intelligence (AI) devices such as robots. For this purpose, this paper uses the innovative AI device use acceptance (AIDUA) framework. This research evaluates the implications of human–machine interactions for the usage of robots and AI in daily life.

The proposed AIDUA model is tested using data collected from Millennials and Gen Z. First, a principal components analysis technique is used to validate each measure. Second, a multiple regression analysis using IBM SPSS 26.0 is conducted.

The results of this study suggest that human–machine interaction is a part of a complex process in which there are different elements determining individuals’ acceptance of the use of AI devices during daily life. This paper outlines both the theoretical and practical implications. This study enriches the AIDUA model by connoting it with features and emotions belonging to the younger generation. Additionally, this research offers technology companies suggestions for addressing future efforts on technical performance and on the alignments of the expectations of young people in Society 5.0.

First, the originality of this paper lies in highlighting the binary role of emotions in triggering the use of AI devices and robots. Second, the focus on Millennials and Gen Z offers a new lens for the interpretation of longitudinal phenomena in the adoption of AI. Finally, the findings of this paper contribute to the development of a new perspective regarding a “heartly collaborative” approach in Society 5.0.