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This study aims to examine the relationship between audit partner tenure and earnings management of companies listed on Vietnamese stock exchanges.

This study uses a sample of 1,363 observations from 2016 to 2019. This study manually collects data on audit partner tenure. Using Datastream financial data, this study calculates abnormal accruals using the modified-Jones models (Jones, 1991; Dechow et al., 1995; Kothari et al., 2005), which are used as the proxy for earnings management. This study runs Ordinary Least Squares regressions to test this study’s hypothesis.

The results show that audit partner tenure is positively related to abnormal accruals. Cross-sectional analyses indicate that the relationship between audit partner tenure and abnormal accruals is more pronounced for firms that are audited by non-Big Four auditors and for firms that have chief executive officer-chairperson duality, suggesting that weak corporate governance is a channel for the established relationship. The evidence also shows that audit partner tenure is negatively associated with the magnitude of income-decreasing accruals but has no relationship with income-increasing accruals. This study’s findings are robust for several tests, including using the propensity score matching approach.

To the best of the authors’ knowledge, this study is the first to provide evidence of the relationship between audit partner tenure and earnings management in Vietnam.

This study presents the impact of Economic Policy Uncertainty (EPU)-induced Trade Supply Chain Vulnerability (TSCV) on the Small and Medium-Sized Enterprises (SMEs) in India by leveraging the World Bank Enterprise Survey data for 2014 and 2022. Applying econometric techniques, it examines firm size’ influence on productivity and trade participation, providing insights for enhancing SME resilience and trade participation amid uncertainty.

The econometric techniques focus on export participation, along with variables such as total exports, firm size, productivity, and capital intensity. It addresses crucial factors such as the direct import of intermediate goods and foreign ownership. Utilizing the Cobb-Douglas production function, the study estimates Total Factor Productivity, mitigating endogeneity and multicollinearity through a two-stage process. Besides, the study uses a case study of North Indian SMEs engaged in manufacturing activities and their adoption of mitigation strategies to combat unprecedented EPU.

Results reveal that EPU-induced TSCV reduces exports, impacting employment and firm size. Increased productivity, driven by technological adoption, correlates with improved export performance. The study highlights the negative impact of TSCV on trade participation, particularly for smaller Indian firms. Moreover, SMEs implement cost-based, supplier-based, and inventory-based strategies more than technology-based and risk-based strategies.

Policy recommendations include promoting increased imports and inward foreign direct investment to enhance small firms’ trade integration during economic uncertainty. Tailored support for smaller firms, considering their limited capacity, is crucial. Encouraging small firms to engage in international trade and adopting diverse SC mitigation strategies associated with policy uncertainty are vital considerations.

This study explores the impact of EPU-induced TSCV on Indian SMEs’ trade dynamics, offering nuanced insights for policymakers to enhance SME resilience amid uncertainty. The econometric analysis unveils patterns in export behavior, productivity, and factors influencing trade participation during economic uncertainty.

This study aims to investigate the association between earnings management and the efficiency of cash management as well as the extent to which this relationship affects a firm’s financial well-being (FWB).

Using fixed-effects models and quarterly financial statements of 178 nonfinancial firms, this study analyzes 3,376 firm-quarter observations listed on the Egyptian stock market from 2005 to 2019.

The empirical findings suggest that optimal cash holdings and cash holding excess increase with lower real earnings management (REM) of operating activities or higher accrual earnings management (AEM). This relationship positively impacts firms’ FWB but is negatively influenced by REM.

This study’s findings have two key implications for standards regulators and decision-makers. First, the study reveals the link between opportunistic earnings management and cash management, emphasizing the need for stricter oversight in corporate governance to prevent risky long-term decisions. Furthermore, these findings suggest that regulators, specifically in emerging markets, should proactively develop policies to limit earnings management. Second, this study demonstrates how accounting discretion affects both earnings management and short-term working capital management, underscoring the potential erosion of stakeholders’ confidence when financial statements are misleading.

This study examines the impact of sales manipulation and overproduction on cash holdings. To the best of the author’s knowledge, this is also the first study to explore how managerial discretion over both earnings and excess cash holdings influences a firm’s FWB. This study provides new empirical evidence of the joint effects of managerial opportunism in earnings and cash management on a firm’s financial health.

Based on the ability-motivation-opportunity (AMO) framework, this paper develops and tests a moderated mediation model to investigate how and when green high-performance work systems (GHPWS) lead to green service innovation (GSI). For this purpose, the current study examines the mediating role of decent work (DW) and the moderating role of climate change skepticism (CSS) in the relationship between GHPWS and GSI.

Overall data collected from 262 Pakistan banking employees analyzed through the SPSS PROCESS macro supports this model.

Findings suggest that GHWPS increased GSI through DW. The positive effect of DW on GSI was particularly high for the employees with low CCS.

Theoretically, this study expands knowledge in sustainable business practices and human resource management. Practically, it offers organizations strategies to integrate sustainability into their operations. This study implies that human resource management must be realigned with the overall organizational sustainability strategy to adopt environmental innovations. Along with the commercial and economic outcomes, this research has implications for public policy by advocating for practices that support environmental sustainability and DW. Societally, it promotes awareness of the importance of sustainability in business, which has a potential ripple effect on public attitudes and improves quality of life through environmental preservation.

This study provides unique insights into the employees’ doubts about anthropogenic climate change and the importance of organizations implementing GHPWS toward cultivating DW and GSI in the context of developing countries.

This study aims to examine the interrelationships between social media marketing activities, self-brand connections, brand equity, trust and loyalty.

A total of 402 valid responses were collected from Amazon MTurk, and the data were subjected to partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

Findings indicate that social media marketing activities strongly and positively influence self-brand connection, brand equity and brand trust. Moreover, brand loyalty was strongly and positively influenced by self-brand connection, brand equity and brand trust. Moreover, the findings from fsQCA indicate that three causal paths lead to a high level of brand loyalty, and one causal path determines a low level of brand loyalty.

This research extends current knowledge by bridging the literature between social media marketing activities and branding using self-brand connections. Additionally, this study uses the strength of two complimentary methods – symmetrical and asymmetrical modeling – to uncover how social media marketing activities bridge customer-brand relationships.

Este estudio examina las interrelaciones entre las actividades de marketing en redes sociales, las conexiones de marca propia, el valor de la marca, la confianza y la lealtad.

Se recopilaron 402 respuestas válidas de Amazon MTurk, y los datos fueron sometidos a PLS-SEM y análisis cualitativo comparativo con conjuntos difusos (fsQCA).

Los resultados indican que las actividades de marketing en redes sociales influyen fuertemente y de manera positiva en la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, la lealtad a la marca es influenciada fuerte y positivamente por la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, los resultados de fsQCA indican que tres vías causales conducen a un alto nivel de lealtad a la marca, y una determina un bajo nivel de lealtad a la marca.

Esta investigación amplía el conocimiento actual al vincular la literatura entre las actividades de marketing en redes sociales y el branding utilizando conexiones de marca propia. Además, este estudio utiliza dos métodos complementarios – modelado simétrico y asimétrico – para descubrir cómo las actividades de marketing en redes sociales construyen las relaciones entre cliente y marca.

本研究探讨社交媒体营销活动、自我品牌连接、品牌资产、信任和忠诚度之间的相互关系。

从亚马逊MTurk收集了402个有效回复, 并对数据进行了PLS-SEM和模糊集合质性比较分析 (fsQCA) 的处理。

研究发现, 社交媒体营销活动对自我品牌连接、品牌资产和品牌信任产生了强烈而积极的影响。此外, 自我品牌连接、品牌资产和品牌信任也对品牌忠诚度产生了强烈而积极的影响。fsQCA的结果显示, 导致高水平品牌忠诚度的有三条因果路径, 而导致低水平品牌忠诚度的有一条因果路径。

本研究通过构建社交媒体营销活动与品牌之间的桥梁, 利用自我品牌连接, 扩展了当前知识。此外, 利用对称和非对称建模两种互补方法的优势, 揭示了社交媒体营销活动如何建立客户品牌关系。

We study the demand for skills by using text analysis methods on job descriptions in a large volume of ads posted on an online Indian job portal. We make use of domain-specific unlabeled data to obtain word vector representations (i.e., word embeddings) and discuss how these can be leveraged for labor market research. We start by carrying out a data-driven categorization of required skill words and construct gender associations of different skill categories using word embeddings. Next, we examine how different required skill categories correlate with log posted wages as well as explore how skills demand varies with firm size. We find that female skills are associated with lower posted wages, potentially contributing to observed gender wage gaps. We also find that large firms require a more extensive range of skills, implying that complementarity between female and male skills is greater among these firms.

Effective social inclusion of people from refugee backgrounds in host communities is vital to the success of their resettlement. This study focused on how an NGO-organised care-oriented programme may foster the social inclusion of migrant women from refugee backgrounds in Australia.

We looked at how the programme’s adoption of an ethics-of-care approach might affect migrant women’s social capital, hence social inclusion. About 55 migrant women from a regional city in Australia were recruited for the study, and quantitative and qualitative data were collected.

The study revealed that the NGO’s adoption of the care ethics and principles to design and implement the physical activity program significantly increased refugee migrant women’s bonding and bridging social capital, which in turn promoted their social inclusion in the host community.

This study highlights the importance of adopting care ethics and care practices to inform initiatives designed to promote the social inclusion of marginalised groups such as refugee migrant women settling in regional cities in Australia. It also emphasises the need for NGOs and other organisations supporting new migrant groups to focus on increasing opportunities for such community groups to develop bonding and bridging relationships with people within and outside their language groups or ethnicity.

This paper aims to examine the effects of economic policy uncertainty (EPU) on accounting conservatism in Korean firms. An increase in EPU could widen information asymmetry between insiders and outsiders, to the detriment of a firm’s investment decisions, stock price and cost of capital. This paper hypothesizes that Korean firms are likely to decrease accounting conservatism during high EPU due to inefficient institutional structure and weak corporate governance, together with the vulnerability of the Korean economy to exogenous shocks.

This study measures a firm’s level of conservatism using three accrual-based models proposed by Ball and Shivakumar (2006): 1) the cash flow model (CF model), 2) the Dechow and Dichev model (DD model) and 3) the Jones model. As a robustness test, this paper uses C-score model as an alternative measure of accounting conservatism. The data set used in this study is a total of 23,109 firm-year observations during the sample period from 2000 to 2018.

The test results show that an increase in EPU adversely affects Korean firms’ accounting conservatism, and that this adverse impact is more pronounced in financially distressed and non-manufacturing firms. This study’s findings highlight the importance of institutional structure during a period of high EPU, which can create incentives for either improving or deteriorating reporting quality.

This study adds new evidence to extant literature on the effects of EPU on managers’ choice of accounting policies and demonstrates that managers in emerging markets may have different incentives to cope with country-specific EPU fluctuations.

The deformation of the roadbed is easily influenced by the external environment to improve the accuracy of high-speed railway subgrade settlement prediction.

A high-speed railway subgrade settlement interval prediction method using the secretary bird optimization (SBOA) algorithm to optimize the BP neural network under the premise of gray relational analysis is proposed.

Using the SBOA algorithm to optimize the BP neural network, the optimal weights and thresholds are obtained, and the best parameter prediction model is combined. The data were collected from the sensors deployed through the subgrade settlement monitoring system, and the gray relational analysis is used to verify that all four influencing factors had a great correlation to the subgrade settlement, and the collected data are verified using the model.

The experimental results show that the SBOA-BP model has higher prediction accuracy than the BP model, and the SBOA-BP model has a wider range of prediction intervals for a given confidence level, which can provide higher guiding value for practical engineering applications.

A popular production model for high-tech manufacturers is that they move most production lines abroad to produce formal products for sale and just keep a few production lines in headquarters to manufacture sample products for new product development. Under such a production model, the paper aims to develop a selection model of International Air Express (IAE) for high-tech manufacturers in airfreight of sample products using the fuzzy best-worst method (BWM).

In this paper, an assessment model based on the fuzzy BWM approach is proposed for high-tech manufacturers in selecting airfreight carriers for the shipping of sample products. Further, one high-tech electronic manufacturer in Taiwan was empirically investigated to validate the assessment model.

The result indicates that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for the transportation of sample products. Based on the findings, some practical management implications were discussed.

Some literature limitations should be addressed. Initially, the adoption of the fuzzy BWM assumes independence among criteria. Nonetheless, this assumption is not yet to confirm in this study. Accordingly, this limitation leaves room for improvement in future studies. Further, in this paper, five experienced experts from the Radiant Opto-Electronics Corporation (ROEC) case were empirically surveyed. To ensure the validity of the surveying, this paper adopted an interviewing survey instead of a traditional mailed survey. However, more representative samples are still necessary to confirm the empirical results in future research.

Firstly, the proposed research model provides a systematic framework to the decision-making process, which assists high-tech manufacturers in identifying the most suitable IAEs based on multiple criteria. It has been illustrated that high-tech companies deliver their sample products requiring timely and secure means of transport. In practice, manufacturers can assess various IAEs considering some main factors, such as Operational Flexibility (OF), Partner Relationship (PR), Transportation Capability (TC) and Management, using fuzzy BWM. This process ensures the selection of IAEs aligning with their logistical needs and business priorities, ultimately enhancing operational efficiency and customer satisfaction. Secondly, empirical results from the ROEC case indicate that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for transportation of sample products. In other words, ROEC should consider establishing long-term contracts with preferred IAEs (i.e. FedEx) to secure favorable rates and service commitments. On top of that, results not only provide practical information for manufacturers in selecting IAEs but also for IAE partners to improve their service policies.

The results not only provide practical information for high-tech manufacturers in selecting airfreight carriers but also for the airfreight carriers to improve their service quality.