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The purposes of this study are to contribute to the limited green growth (GG) literature in emerging markets, to analyze GG from a financial economy perspective and to determine the contribution of financial development and innovation to GG in Brazil, Russian Federation, India, China and South Africa and Türkiye (BRICS-T). BRICS-T countries significantly impact the world population, international politics, energy resources and economy. In addition, BRICS-T countries are one of the leading countries in the world with their sustainability efforts. Investigating the GG model in these countries may contribute to structuring emerging economies around the principles of GG and advancing global green transformation efforts.

The authors applied panel data analysis from 2001 to 2019. GG is economic growth free from environmental depletion in the model. National income, personnel expenditure and foreign direct investments are macroeconomic variables. These variables measure economic development and promote economic and social progress, which is essential for GG. Capital accumulation and innovation are essential tools in GG transformation. Therefore, financial development and patent applications represent the moderating variables. The authors estimate the fixed effect model with Parks-Kmenta robust.

Empirical results show that national income growth and foreign direct investments positively affect GG. Personnel expenditure negatively affects GG. On the contrary, financial development and patent growth have little moderating role.

This study contributes to the literature on creating a GG model in emerging countries. The study is original in its model and sample.

This study aims to examine the relationship between carbon reduction initiatives and financial performance. Additionally, it explores potential moderating variables, such as corporate social responsible (CSR) strategy and corporate governance practices, that may strengthen the link between carbon reduction initiatives and financial performance.

The empirical analysis is conducted using 1,740 firm-year observations from UK firms listed on the FTSE 350. Data on carbon emissions and firm-specific characteristics are obtained from the Refinitiv Eikon database for the period 2011–2020. Various econometric techniques, including ordinary least squares and system generalized method of moments, are used to examine the relationship between carbon reduction initiatives and financial performance. Additionally, alternative samples are used to further explore this relationship.

The author observes a significantly positive association between carbon reduction initiatives and financial performance in this study. Additionally, the significance of this relationship is found to be present specifically after the announcement of the Paris Agreement. Furthermore, a channel analysis reveals that moderating factors like CSR strategy and corporate governance quality influence this relationship.

The study underscores the importance of carbon reduction initiatives for sustainable business growth and financial performance. Managers can use these insights to prioritize investments in sustainable practices. Policymakers should consider implementing supportive regulations to incentivize companies to adopt carbon reduction strategies.

This study adds value to the existing body of literature by empirically examining the moderating role of CSR strategy and best corporate governance practices in the relationship between carbon reduction initiatives and financial performance. The findings contribute to a deeper understanding of how these factors interact and influence the outcomes.

Reacting to the calls in the contemporary literature to further examine the relationship between board attributes and firms’ decisions to obtain corporate social responsibility assurance (CSRA) through the use of pioneering techniques, this study aims to analyse the influence of such attributes together with the existence of a corporate social responsibility (CSR) committee on the adoption of CSRA using fuzzy set qualitative comparative analysis (Fs-QCA).

Fs-QCA was performed on a sample of nonfinancial European companies listed on the STOXX Europe 600 index over the period 2016–2018.

The study findings indicate that the decision to obtain a CSRA report depends on a complex combination of the influence of the CSR committee and certain board attributes, such as size, experience, independence, meeting frequency, gender and CEO separation. These attributes play essential contributing roles and, if suitably combined, stimulate the adoption of CSRA.

The study findings are important for policymakers, professionals, organisations and regulators in forming and modifying the rules and guidelines related to CSR committees and board composition.

To the best of the authors’ knowledge, this study represents the first examination of the impact of board attributes and CSR committees on the adoption of CSRA using Fs-QCA method. It also offers a novel methodological contribution to the board-CSRA literature by combining traditional statistical (logistic regression) and Fs-QCA methods. This study emphasises the benefits of Fs-QCA as an alternative to logistic regression analysis. Through the use of these methods, the research illustrates that Fs-QCA offers more detailed and informative results when compared to those obtained through logistic regression analysis. This finding highlights the potential of Fs-QCA to enhance our understanding of complex phenomena in academic research.

This study examines how professional service firms' communication effectiveness (affiliative communications style, social dialogue and information provision), social cognitive capital and rapport established between an auditor and SME client are instrumental in influencing the latter's evaluation of the technical quality of an audit.

The study combines qualitative and quantitative methodologies to create a cross-sectional survey covering four geographic regions in an emerging economy – Thailand. The authors examine the hypotheses by employing social interaction theory.

A study of 744 SME executives plus post-survey interviews with three audit partners revealed that an affiliative communications style and information provision are positively associated with the rapport developed between financial auditor and client, and that rapport, in turn, had a strong association with client perceptions of audit quality. In addition, affiliative communication style, information provision and social cognitive capital had a direct (positive) association with perceptions of audit quality. The effects of communication effectiveness and social cognitive capital varied, depending on whether or not the SME client possessed formal accounting qualifications.

The study contributes to the literature on the business-to-business professional services, and accounting in particular, by explicating the important roles of communication effectiveness, rapport, and social cognitive capital in the relationship between an auditor and a client. Moreover, the paper reveals that the differences in educational background of clients result in differential impacts of communication effectiveness and social cognitive capital on rapport and perceptions of audit quality.

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.

The purpose of the present study was to investigate the interrelationships among the dimensions of sport event experience, event satisfaction and event behavioral intentions.

The sample was comprised of 186 individuals who actively participated in a mass participation sport event. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the relationships among the latent constructs.

The results indicated that the dimensions of sport event experience predicted 55% of the variance of event satisfaction and 63% of the variance of event behavioral intentions was predicted by sport event experience dimensions and event satisfaction. Specifically, the sensory, affective and relational dimensions of experience sought to have a statistically significant and positive association with event satisfaction, while event satisfaction and the relational dimension of experience were found to have a statistically significant and positive correlation with event behavioral intentions. In addition, event satisfaction was found to mediate the relationships between sensory, affective and relational experiences and event behavioral intentions.

The present study is one of the first that explores the relationships among sport event experience’s dimensions, event satisfaction and positive behavioral intentions in the context of sport event participation.

Both technological and human-centric perspectives need to be acknowledged when combining lean production practices and Industry 4.0 (I4.0) technologies. This study aims to explore and explain how lean production practices and I4.0 technologies may coexist to enhance the human-centric perspective of manufacturing operations in the era of Industry 5.0 (I5.0).

The research approach is an explorative and longitudinal case study. The qualitative data collection encompasses respondents from different job functions and organizational levels to cover the entire organization. In total, 18 interviews with 19 interviewees and five focus groups with a total of 25 participants are included.

Identified challenges bring forth that manufacturing organizations must have the ability to see beyond lean production philosophy and I4.0 to meet the demand for a human-centric perspective in socially sustainable manufacturing in the era of Industry 5.0.

The study suggests that while lean production practices and I4.0 practices may be considered separately, they need to be integrated as complementary approaches. This underscores the complexity of managing simultaneous organizational changes and new digital initiatives.

The research presented illuminates the elusive phenomena comprising the combined aspects of a human-centric perspective, specifically bringing forth implications for the co-existence of lean production practices and I4.0 technologies, in the transformation towards I5.0.

The study contributes to new avenues of research within the field of socially sustainable manufacturing. The study provides an in-depth analysis of the human-centric perspective when transforming organizations towards Industry 5.0.

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

Research for the case study was conducted using a combination of semi-structured interviews and secondary data sources.

This case traces the international expansion of Sadowsky Guitars’ bass guitar product line. Roger Sadowsky is one of the most respected instrument makers in the world and gained early acclaim for his outstanding repair and restoration work on guitars and basses. Some of his early clients included Prince, Will Lee (The Tonight Show), Tom Hamilton of Aerosmith, Jason Newsted of Metallica, Eddie Van Halen and Marcus Miller. Roger’s reputation and the demand for his instruments led to some customers having to wait for more than a year to obtain the chance to purchase a Sadowsky instrument, while others were unable to do so due to financial constraints. In 2003, Roger made the decision to form Sadowsky Japan to begin the contract manufacturing of more affordable Sadowsky instruments in Tokyo, Japan. As the company grew in size, Roger realized he was becoming more focused on running a business than building instruments. Furthermore, his Japanese partners were only interested in serving the Japanese market. This required him to handle the sales and distribution in the remaining parts of the world. In December of 2019, he announced a new, exclusive licensing agreement and distribution partnership between Sadowsky Guitars and Warwick GmbH & Co Music Equipment KG. The new agreement allowed Roger to continue running the Sadowsky NYC Custom Shop while Warwick would take over building and distributing the Metro instruments and a less-expensive, Chinese-built version of the MetroExpress instruments.

This case is appropriate for undergraduate and graduate-level courses related to marketing and consumer behavior. The case walks students through a real-life scenario when the founder of a well-known musical brand sought to expand internationally as a way to meet growing market demand. Students are asked to consider the advantages and disadvantages of the five key international market entry strategies: exporting, licensing, contract manufacturing, joint ventures and investment (equity/acquisition).

The case works well in the classroom, even if people are unfamiliar with the musical instrument retail industry. Participants are most likely aware of some of the artists and musicians mentioned in the case. Some may also be or know musicians. The instructor should be able to quickly engage participants in a lively discussion about Roger Sadowsky’s vision for his instruments and the opportunities and challenges of expanding product offerings and increasing market share.

Teaching notes are available for educators only.

The research objective of this paper is to investigate the direct and indirect impacts of green finance on agricultural carbon total factor productivity (ACTFP) within the framework of the carbon peaking and carbon neutrality (dual carbon) goals, while also identifying the driving factors through an exponential decomposition of ACTFP, aiming to provide policy recommendations to enhance financial support for low-carbon agricultural development.

In this paper, the Global Malmquist Luenberger (GML) Index method was employed to analyze and decompose the ACTFP, while the direct and spillover effects of China’s green finance pilot policy (GFPP) on ACTFP were assessed using the difference-in-differences (DID) method and the spatial differences-in-differences (SDID) method, respectively.

After the implementation of the GFPP, the ACTFP in the pilot area has experienced significant improvement, with the enhancement of technical efficiency serving as the main driving force. In addition, the GFPP exhibits a positive low-carbon spatial spillover effect, indicating it benefits ACTFP in both the pilot and adjacent areas.

Within the framework of the dual carbon goals, the paper highlights agriculture as a significant carbon emitter. ACTFP is assessed by considering the agricultural carbon emission factor as the sole non-desired output, and the impact of the GFPP on ACTFP is investigated through the DID method, thereby providing substantial validation of the hypotheses inferred from the mathematical model. Subsequently, the spillover effects of GFPP on ACTFP are analyzed in conjunction with the spatial econometric model.