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Some researchers regard discretionary accrual (DA) as one of the factors that drive corporate managers to conduct tax planning (Scott, 2009; Basri and Buchari, 2017). Based on agency theory and positive accounting theory, corporate managers can transform accounting information and manipulate firm earnings to reduce tax liability. There is a lot of research concerning earnings management and tax planning in the developed economy. These studies include Wang and Chen (2012) and Pettersson and Wu (2015). In the emerging economies, it includes Jamei and Khedri (2016), Kurniasih and Sulardi Suranta (2017), Prastiwi (2017), Almashaqbeh et al. (2018), Bayunanda et al. (2018), Rani et al. (2018) and Kałdoński and Jewartowski (2019). It is important to note that none of the research mentioned above has evaluated the impact of real earnings management (REM) on tax planning in Nigeria. While in the developed economy only Kałdoński and Jewartowski (2019) used REM as an explanatory variable, while the majority of studies used DA. Consequently, no study has used REM to moderate the relationship between financial attributes and tax planning. Despite the widespread notion, as well as positive accounting theory, tax planning theory that financial attributes (profitability, leverage, liquidity and firm growth), REM and DA motivate tax planning, previous investigations have produced mixed results (Dwenger and Steiner, 2009; Wang and Chen, 2012; Chen and Zolotoy, 2014; Aghouei and Moradi, 2015; Pettersson and Wu, 2015; Ribeiro, 2015; Chen et al., 2016; Jamei and Khedri, 2016; Ogbeide, 2017; Yuniawati et al., 2017; Chen and Lin, 2017; Firmansyah and Febriyanto, 2018; Prastiwi, 2018; Rani et al., 2018; Kibiya and Aminu, 2019; Kałdoński and Jewartowski, 2019 and Siyanbonla, 2021). This study aims to use REM as a moderator to examine the relationship between financial attributes and tax planning whether it will strengthen or weaken the relationship.

The study examines the impact of financial attributes on the corporate tax planning of listed manufacturing firms in Nigeria. It also tests for the moderating effect of REM on the relationship between financial attributes and tax planning. Data for the study was sourced from the annual reports of sampled manufacturing firms. The study used the panel data methodology for analysis. The study used fixed effect estimation to interpret the parsimonious model and random effect was used to interpret the moderated model. The study documented that financial leverage has a positive significant influence on the tax planning of the sampled manufacturing firms. While firm growth has a negative significant impact on the tax planning of listed manufacturing firms in Nigeria. REM has a positive significant impact on tax planning. Also, REM moderate significantly the relationship between financial attributes on one hand and tax planning on the other. The study recommends that firms should go for more debt to take advantage of the tax shield of interest on the debt. Also, firm management should use non-current debt to finance non-current assets and use current debt to finance current assets to avoid the risk of taking over or liquidation. The study also recommends that firm management should engage in intercompany and intracompany transactions by selling their goods to affiliates in countries with low prices and low tax rates. A firm should also overproduce goods to have high production costs and high closing inventory since real earning management significantly reduces tax liabilities by deferring income into a later year.

The study documented that financial leverage has a positive and significant influence on the tax planning of the sampled manufacturing firms. While firm growth has a negative but significant impact on the tax planning of listed manufacturing firms in Nigeria. REM has a positive and significant impact on tax planning. Also, REM moderate significantly the relationship between financial attributes on one hand and tax planning on the other.

There is a lot of research concerning earnings management and tax planning in the developed economy. These studies include Wang and Chen (2012) and Pettersson and Wu (2015). In the emerging economies, it includes Jamei and Khedri (2016), Kurniasih and Sulardi Suranta (2017), Prastiwi (2017), Almashaqbeh et al. (2018), Bayunanda et al. (2018), Rani et al. (2018) and Kałdoński and Jewartowski (2019). It is important to note that none of the research mentioned above has evaluated the impact of REM on tax planning in Nigeria. While in the developed economy only Kałdoński and Jewartowski (2019) used REM as an explanatory variable, while the majority of studies used DA. Consequently, no study has used REM to moderate the relationship between financial attributes and tax planning.

The purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security.

This study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment.

The authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models.

While this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings.

Blockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.

This study is based on the role congruity theory that examines the association between top management team (TMT) gender diversity and corporate social responsibility (CSR) performance.

This study uses data from the Taiwan Economic Journal database and the Market Observation Post System provided by the Taiwan Stock Exchange. The sample consists of 4,140 annual observations of Taiwanese-listed companies in the electronics industry from 2016–2020.

The results revealed that TMT gender diversity is positively associated with CSR performance, and TMT international experience strengthens the positive association between TMT gender diversity and CSR performance.

CSR is imperative. The TMT’s gender diversity aligns with current environmental trends and social expectations, driven for CSR implementation essential. This diverse configuration enables the TMTs to address corporate adaptability and maintain global competitiveness.

The findings contribute significantly to the literature on TMT gender diversity by extending the application of role congruity theory beyond individual to team-level contexts and across gender boundaries. By incorporating diverse capabilities such as international experience within TMTs, the authors identify key boundary conditions that foster CSR. This expansion not only aligns with practical realities but also opens new avenues for research into the dynamics of diverse management teams.

This study aims to examine whether the COVID-19 pandemic impacts corporate tax avoidance and whether audit firm tenure moderates the relationship between the COVID-19 pandemic and corporate tax avoidance.

This paper analyzes data from companies in Thailand during the 2018–2021 period. Corporate tax avoidance is measured using the cash effective tax rate, calculated as total cash taxes paid divided by pretax income for that year. Audit firm tenure is assessed using two measures: (1) the number of consecutive years a company has engaged the same audit firm and (2) a dummy variable indicating whether audit firm tenure exceeds six years, the median tenure value.

The results show a positive association between corporate tax avoidance and the COVID-19 pandemic. In addition, audit firm tenure reduces corporate tax avoidance during the COVID-19 pandemic.

The findings provide practical insights and have direct policy implications, offering regulators valuable guidance on audit firm rotation and governance frameworks. Regulators and policymakers can leverage audit firm tenure to mitigate corporate tax avoidance behaviors, thereby enhancing corporate accountability, transparency, and public trust.

This study systematically reviews the role of decentralized finance (DeFi) in enhancing the quality, affordability, access and usage of financial services, specifically targeting underserved populations. The aim is to investigate DeFi’s potential in addressing financial exclusion and promoting global financial inclusion.

A systematic literature review was conducted, analyzing 67 peer-reviewed articles. The review focused on extracting actionable insights and recommendations regarding DeFi’s impact on financial inclusion.

The study reveals that DeFi, through the utilization of blockchain technology, can significantly improve accessibility, affordability and usability of financial services. By eliminating intermediaries and reducing entry barriers, DeFi platforms democratize finance and support financial inclusion on a global scale. The research identifies specific mechanisms through which DeFi can enhance financial services for marginalized communities, including decentralized lending, digital wallets and blockchain-based remittances.

The study is constrained by the current literature and data availability on DeFi’s impact on financial inclusion. Future research should explore the scalability, sustainability and long-term effects of DeFi solutions in diverse contexts.

This research uniquely contributes to the literature by examining the intersection of DeFi and financial inclusion, providing innovative approaches to overcoming financial exclusion. The study highlights DeFi’s potential to transform financial services and empower underserved populations economically.

The use of social media for sustainable information is important since it has the potential to influence people’s intentions and behaviour towards sustainability. As previous studies on social media and sustainable development have primarily focussed on Western viewpoints, this study presents a comprehensive Asian perspective by investigating the impact of social media on sustainable intention and behaviour amongst Malaysian and Indonesian undergraduate university students.

A campus-wide online survey was conducted with 953 students from Malaysia and Indonesia. The researchers collected data through an online questionnaire and a two-week quantitative survey of undergraduate students in Malaysia and Indonesia. Quantitative data were analysed by SmartPLS software and comparative studies were conducted.

The result of the survey indicated that Facebook and Instagram were mainly used by Malaysian students to obtain and communicate about sustainability information, whilst Instagram was mainly used by Indonesian students. The findings also discovered that social media usage and social media effectiveness and usefulness are statistically significant predictors of sustainable intention amongst the students in Malaysia and Indonesia. Sustainable intention is also a statistically significant predictor of sustainable behaviour amongst the students. Additionally, this study also found that Malaysian students appeared to have a high level of the effect of sustainable intention on sustainable behaviour and the effect of the effectiveness and usefulness of social media to sustainable intention compared to Indonesian students. On the contrary, their use of social media related to sustainable behaviour was relatively low compared to Indonesian students.

Overall, the findings can contribute to the presently scant empirical works that focus on social media’s influence on sustainability and sustainable development. Furthermore, the findings contribute to the growing body of knowledge related to sustainability communication and sustainable education, particularly in terms of the use of social media in the learning and teaching process. Future research could focus on studying postgraduate students and university students from other Asian countries. Moreover, using qualitative methods like in-depth interviews or focus group discussion and applying other theories might unveil further results.

The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of offshore projects and their environmental-degrading effects have been embraced as well. The durations of activities are uncertain in this model. The developed formulation is tri-objective that seeks to minimize the expected time, total cost and CO₂ emission of all projects.

A new version of the multiobjective multiagent optimization (MOMAO) algorithm has been proposed to solve the amalgamated model. To empower the MOMAO, various procedures of this algorithm have been modified based on the multiattribute utility theory (MAUT) technique. Along with the MOMAO, this study has employed four other meta-heuristic methodologies to solve the model as well.

The outputs of the MOMAO have been put to test against four other optimizers in terms of convergence, diversity, uniformity and computation times. The results of the Mean Ideal Distance (MID) metric have revealed that the MOMAO has strongly prevailed its rival optimizers. In terms of diversity of the acquired solutions, the MOMAO has ranked the first among all employed optimizers since this algorithm has offered the best solutions in 56.66 and 63.33% of the test problems regarding the diversification metric and hyper-volume metrics. Regarding the uniformity of results, which is measured through the spacing metric (SP), the MOMAO has presented the best SP values in more than 96% of the test problems. The MOMAO has needed more computation times in comparison to its rivals.

A real case study comprising two concurrent offshore projects has been offered. The proposed formulation and the MOMAO have been implemented for this case study, and their effectiveness has been appraised.

Very few studies have focused on presenting an integrated formulation for the stochastic multiproject scheduling and material ordering problems. The model embraces some of the characteristics of the offshore projects which have not been adequately studied in the literature. Limited capacities of the offshore platforms and cargo vessels have been embedded in the proposed model. The offshore platforms have spatial limitations in storing the required materials. The vessels are also capacitated and they also have limited shipment capacities. Some of the required materials need to be transported from the base to the offshore platform via a fleet of cargo vessels. The workforces and equipment can become idle on the offshore platform due to material shortage. Various offshore-related costs have been integrated as a minimization objective function in the model. The cargo vessels release CO₂ detrimental emissions to the environment which are sought to be minimized in the developed formulation. To the best of the authors' knowledge, the MOMAO has not been sufficiently employed as a solution methodology for the stochastic multiproject scheduling and material ordering problems.

This study analyzes how possessing female chief financial officers (CFOs) on boards in emerging economies impacts on firm investment efficiency and addresses overinvestment and underinvestment tendencies of firms based on this aspect. The study draws from resource-based and stakeholder theories. Additionally, it explores how institutional gender parity influences this relationship.

The study uses a two-step system generalized method of moment (GMM) estimation technique to test its hypotheses. Data span from 2010 to 2021 and cover firms in emerging economies. The approach addresses endogeneity and accounts for unobserved heterogeneity in the data.

The study’s results support the hypothesis that firms with female CFO decrease overinvestment and underinvestment tendencies, indicating improved investment efficiency. This effect is more pronounced in emerging economies with higher gender parity and support for female leadership.

The study’s findings suggest fostering gender parity and female leadership in emerging economies to maximize the benefits of female CFO board membership. Policymakers should advocate for corporate governance practices and gender parity through supportive policies to advance economic outcomes and competitiveness.

This study advances existing literature by highlighting the positive outcomes of having female CFOs on boards in emerging economies. It emphasizes gender diversity’s importance in leadership and advocates for inclusive institutional frameworks.

This study aims to develop a copper nano-based emulsified cutting fluid (ECF) with enhanced thermal, antimicrobial and anti-corrosion properties. The study focuses on optimizing the water-to-Triton X-100 (W/TX) ratios and incorporating copper nanoparticles to improve the fluid’s overall efficacy in machining applications.

Various trial combinations were conducted to determine the optimal W/TX ratios. The as-prepared copper nanoparticles were dispersed in the cutting fluid to enhance its thermo-physical properties. The thermal conductivity, thermal stability and surface spreading capability were measured. Microbial studies identified prevalent microorganisms, particularly Mycobacterium immunogenum. To combat microbial contamination and corrosion, natural biocides (ß-Ionine) and sodium dihydrogen phosphate (NaH₂PO₄) were added. The corrosion inhibitor efficiency and overall performance were evaluated.

The inclusion of copper nanoparticles significantly improved the cutting fluid thermal properties, achieving a 51.12% enhancement in thermal conductivity and thermal stability. The surface spreading capability was enhanced with a contact angle of 52.48°. Mycobacterium immunogenum was identified as the most frequent contaminant. The addition of natural biocide ß-Ionine effectively addressed microbial contamination, while 1.4 ml of NaH₂PO₄ improved the corrosion inhibitor efficiency to 66.94%. The Cu-W/TX cutting fluid demonstrated eco-friendly characteristics with notable antimicrobial and anti-corrosion benefits.

The research work improves ECFs by incorporating copper nanoparticles and optimizing surfactant ratios. It highlights Triton X-100’s potential as a cutting fluid base and the benefits of natural biocides, contributing to more sustainable, efficient fluids with significant environmental and industrial implications.

In today’s global and competitive e-commerce market spaces, social media influencers (SMIs) exert substantial influence on consumer behavior. This study aims to examine how electronic word of mouth (e-WOM), Instagram usage and the credibility of SMIs shape the dynamics of consumer purchase behavior (PB).

Information was gathered from 498 users in Ghana through judgmental sampling using SmartPLS 4.

The findings revealed that influencers’ credibility has a substantial impact on their followers’ parasocial interactions. As a promotional tool, Instagram plays a significant role in how followers perceive the credibility of influencers by modifying the associations between parasocial connections, e-WOM and consumer PB.

The findings offer valuable information for marketing professionals looking to improve their advertising efforts by collaborating with influencers, along with unique perspectives on influencer dynamics in a diverse socioeconomic context, extending beyond conventional boundaries.

Through an examination of the complex mechanisms underlying social media influencer advertisements on an e-commerce platform, namely, Instagram, this research uncovered the essence of customer behavior in the digital era, including the human need for connection, authenticity and trust, thus contributing to the literature empirical data from Africa, a region often overlooked in academic studies.

在当今全球化且竞争激烈的电子商务市场中, 社交媒体影响者对消费者行为有着重要的影响。本研究旨在探讨网络口碑、Instagram使用以及社交媒体影响者的可信度如何塑造消费者购买行为的动态变化。

使用SmartPLS 4, 通过判断抽样收集了来自加纳的 498 位用户信息。

研究表明, 影响者的可信度对其粉丝的准社会互动有着显著影响。作为一种推广工具, Instagram通过影响准社会联系、网络口碑和消费者购买行为之间的关系, 在粉丝感知影响者可信度方面发挥着重要作用。

本研究通过深入剖析社交媒体影响者在Instagram等电子商务平台上进行广告活动的复杂机制, 揭示了数字时代消费者行为的本质, 其中包括人们对联系、真实性和信任的需求。此外, 研究还提供了经常被学术界忽视的非洲地区的实证数据。

研究结果为希望通过与影响者合作来提升广告效果的营销专业人士提供了宝贵的信息。本文超越传统界限, 从不同的社会经济背景下提供了影响者动态的独特视角。

En un mercado tan global y competitivo como el del comercio electrónico actual, los influencers en redes sociales ejercen una influencia sustancial en el comportamiento del consumidor. Este estudio examina cómo el boca a boca electrónico, el uso de Instagram y la credibilidad de los influencers en redes sociales dan forma a la dinámica del comportamiento de compra del consumidor.

Se recogió información de 498 usuarios en Ghana mediante muestreo de conveniencia y se testó el modelo utilizando SmartPLS 4.

Los resultados revelaron que la credibilidad de los influencers tiene un impacto sustancial en las interacciones parasociales con sus seguidores. Como herramienta promocional, Instagram juega un papel significativo en la percepción de los seguidores sobre la credibilidad de los influencers, modificando las asociaciones entre las conexiones parasociales, el boca a boca electrónico y, finalmente, el comportamiento de compra del consumidor.

A través del estudio de los complejos mecanismos que subjacen en los anuncios y publicaciones de los influencers en Instagram, esta investigación desveló la esencia del comportamiento del cliente en la era digital, incluyendo la necesidad de conexión humana la conexión, la autenticidad y la confianza, contribuyendo así a la literatura con datos empíricos de África, una región a menudo pasada por alto en estudios académicos.

Los resultados ofrecen información valiosa para los profesionales del marketing que buscan mejorar sus esfuerzos publicitarios colaborando con influencers, junto con perspectivas únicas sobre la dinámica de éstos en un contexto socioeconómico diverso, más allá de los límites convencionales.