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In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

The purpose of this paper is to compile a comprehensive status report on pipes/piping networks across different industrial sectors, along with specifications of materials and sizes, and showcase welding avenues. It further extends to highlight the promising friction stir welding as a single solid-state pipe welding procedure. This paper will enable all piping, welding and friction stir welding stakeholders to identify scope for their engagement in a single window.

The paper is a review paper, and it is mainly structured around sections on materials, sizes and standards for pipes in different sectors and the current welding practice for joining pipe and pipe connections; on the process and principle of friction stir welding (FSW) for pipes; identification of main welding process parameters for the FSW of pipes; effects of process parameters; and a well-carved-out concluding summary.

A well-carved-out concluding summary of extracts from thoroughly studied research is presented in a structured way in which the avenues for the engagement of FSW are identified.

The implications of the research are far-reaching. The FSW is currently expanding very fast in the welding of flat surfaces and has evolved into a vast number of variants because of its advantages and versatility. The application of FSW is coming up late but catching up fast, and as a late starter, the outcomes of such a review paper may support stake holders to expand the application of this process from pipe welding to pipe manufacturing, cladding and other high-end applications. Because the process is inherently inclined towards automation, its throughput rate is high and it does not need any consumables, the ultimate benefit can be passed on to the industry in terms of financial gains.

To the best of the authors’ knowledge, this is the only review exclusively for the friction stir welding of pipes with a well-organized piping specification detailed about industrial sectors. The current pipe welding practice in each sector has been presented, and the avenues for engaging FSW have been highlighted. The FSW pipe process parameters are characteristically distinguished from the conventional FSW, and the effects of the process parameters have been presented. The summary is concise yet comprehensive and organized in a structured manner.

This paper aims to highlight firms' profitability as an alternative channel by which changes in leverage could affect stock returns in an imperfect market setting. The author also analytically argues that the benefits of debt, if any, may accrue beyond the usual tax benefit channel.

The author used multivariate regression models based on firms' characteristics and the models' changes along with a two-stage least-square (2SLS) type procedure to estimate the impact of leverage changes on stock returns. The author controls for the varying arbitrage risk that is measured by forecasted idiosyncratic volatility of stock prices and overcome simultaneous or endogenous determination by using inter-temporal non-synchronous variation in leverage and control variables.

The author finds that increase in leverage increase (decrease) stock returns for firms with the gross operating profitability higher (lower) than the cost of debt. The author also finds that the variation in arbitrage risk does not substitute for the primary effect of leverage changes on stock returns.

The author's findings provide tacit support to the recent literature attempting to resolve the empirically puzzling pattern of the negative relationship between profitability and leverage. The findings suggest inclusion of profitability as a crucial asset-pricing factor in the contemporary empirical models.

The non-trivial role of profitability in determining the effect of leverage on firms' stock returns that may be useful to managers, credit analysts and policy makers to assess the impact of net profitability on any change in leverage and its ensuing consequences on firms' value.

The paper develops analytical insights into the marginal role of profitability in influencing the relationship between firms' financing decisions and firms' stock returns beyond the conventional mechanisms of tax benefits, bankruptcy costs and information asymmetry.

The concept of working capital management (WCM) has been a fundamental financial accounting term that has evolved in financial theory for centuries. Given that the construction industry (CI) is financially dynamic, there is an imperative need to understand its WCM practices. The call for the industry players to adhere to efficient financial management practices as a result of a huge financing gap requires consented effort. This study aims to explore the trend of practices of WCM in the CI and elicit a broader polemic dialogue about this crucial theme.

The source of information for the study was secondary mainly from referenced journals and international conference papers published on WCM relating to the CI. A three-step sample selection strategy was adopted to identify the range and scope of publications on WCM in the CI based on the systematic literature review method.

The CI cannot boost of enough empirical WCM research to gain in-depth understanding of its practical trend. The developing economies are failing to produce insightful peer-reviewed papers on WCM to assist in bridging the infrastructural financing gap through apposite strategies. Gaining appropriate knowledge of the short-term financial operations through a conceptualization of WCM practices in the CI may lead to better strategies formulated for smooth operations.

This is a pioneering paper in developing economies that have taken stock of WCM knowledge of the practical trend in the CI. Future research prospects in which WCM matters can use it as a reference point.

This study aims to investigate the quality of disclosure of a cutting-edge reporting tool – integrated reporting (<IR>) – in terms of its effectiveness to report on COVID-19 pandemic information, its ability to provide forward-looking information and risk impact implications, and its quality determinants in challenging times.

Thanks to a content analysis of 247 <IR> for FY20, an integrated reporting disclosure score was developed to assess the disclosure quality provided by the sampled companies. Three research questions were tested through logistic regressions.

Non-financial disclosure activities struggle to provide adequate information in terms of potential future scenarios, risk assessment and forward-looking analyses. However, companies incorporated in “Anglo-Saxon” territories drafted integrated reports of higher quality. More recently, incorporated companies have made a greater effort to measure and report COVID-19 pandemic impacts on environmental, social and governance and business activities, also increasing their risk assessment and mitigation efforts. Concerning the determinants of disclosure quality, leverage, corporate governance structures, country of incorporation and belonging to “high impact” industries all lead to a higher quality of <IR> disclosure.

Examining in detail corporate social responsibility activities and corporate governance integrity is pivotal to orienting strategy towards sustainable trajectories: to do so, corporate reporting and disclosure practices are essential tools. In this context, corporate governance systems that emphasize board diversity are proven, even in disruptive circumstances, to play a crucial role in providing corporate reports of higher quality. High disclosure quality that goes beyond mere financial results is considered to be necessary to remain competitive strategically, socially and environmentally.

This study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM).

Based on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices.

LSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms.

This study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.

This paper tries to shed light on the international progress regarding the adoption of International Public Sector Accounting Standards (IPSAS), to accentuate the benefits resulting from the application of IPSAS, and to highlight the main differences between IPSAS and IFRS.

A comprehensive literature review is conducted which focuses on issues concerning the factors that induce the adoption of IPSAS, the obstacles that must be overcome, the degree of IPSAS’ proliferation worldwide, the repercussions from adopting IPSAS, the benefits of IPSAS, and the differences between IPSAS and IFRS. The selection process of the cited articles focuses on journals with high rankings in the ABS list.

It is accentuated that IPSAS carry significant benefits regarding the improved quality of the financial information reported by the public sector, the enhancement of transparency and accountability, the upgrading of the decision-making process and the restored trust in public finances. However, there is more work that needs to be done toward the global proliferation of IPSAS.

This study provides insights regarding the implementation process of IPSAS, which should be useful to all the parties engaged in the reform of the public administration, such as national governments, local or international regulators, accounting standard setters and institutional organizations.

The current study clarifies whether the public sector should move from using the business focused IFRS, as it is frequently the case, to the adoption of IPSAS. In addition, this study comprehensive literature review can be used by academics and researchers as a basis for further research on the issue. More importantly, policymakers and other officials who need to make informed decisions about financial reporting issues at the government level and the public sector in general can benefit from this study.

To investigate the impact of board characteristics (board gender diversity, board chair age, board subcommittees, board meetings, board skill, board size and board independence) on corporate social responsibility disclosures (CSRD) of state-owned enterprises (SOEs) in Kenya during the period 2015–2018.

The study employed fixed-effects balanced panel data to examine the impact of board characteristics on CSRD. The analysis is repeated using two regression estimators (robust least square and random effects) and the four CSRD subcomponents to evaluate the robustness of the main analysis.

The results established that board gender diversity, board chair age and board subcommittees had significant negative effects on CSRD. The impact of the remaining board characteristics was found to be insignificant.

The study was limited to the disclosures included in the annual reports, which means that information disclosed in other media, like websites, was not considered. The second limitation concerns mediating and moderator variables that were not considered.

There is a need for a stricter corporate governance implementation mechanism, as opposed to the “comply or explain” principle, since results suggest that most of the board characteristics do not appear to be impactful. Additionally, the low level of reported CSRD calls for the establishment of Corporate Social Responsibility or related committees.

The evidence suggests that SOEs are reluctant to report on issues such as ethics, health and safety initiatives, environment and social investments.

The paper extends the literature on the impact of board characteristics on CSRD in unlisted non-commercial SOEs in a developing country context.

In this study, the authors investigate if analysts, as knowledgeable information intermediaries, can correctly identify bank corporate social responsibility (CSR) activities and can reliably transmit that information to investors. Hence, the authors specifically explore if analysts perceive and behave differentially in the presence of genuine bank CSR activities (strengths). The authors also analyze if financial markets differentially assess bank CSR strengths. The authors further explore the viability of focusing on analyst and financial markets to validate genuine bank CSR strengths.

The authors use COMPUSTAT and CRSP for firm and financial data, I/B/E/S for analyst reporting data and MCSI Research KLD for CSR data. The sample consists of 329 distinct banks and 2,525 bank-year observations from 2003 to 2016. The primary CSR score is the total number of CSR strengths less the total number of CSR concerns, across six of the seven dimensions for each firm in each year of the sample (Adjusted CSR Score). In addition, the authors estimate all the analyses with dis-aggregated measures of total CSR strengths and total CSR concerns (Adjusted Total Strength Score).

The authors find that analysts correctly distinguish and construe bank CSR strengths from CSR concerns. Specifically, bank CSR strengths increase analyst following and forecast accuracy, while decreasing analyst forecast dispersion. The authors further find that bank CSR strengths increase bank market returns. These results are reversed for bank CSR concerns. Additionally, the authors demonstrate that this method using knowledgeable intermediaries can help validate bank CSR strengths.

The sample is limited to US banks and financial markets. The regulatory and information environment is likely to be different from global or emerging markets. However, since banks in many countries aspire to emulate the US banks, these results would be a precursor of banking sectors conditions in emerging markets. Additionally, the availability of data limits the sample to a period that ends in 2016. To the extent that the importance of ESG and CSR concerns has increased in the intervening time, the results may not accurately reflect the current state of the market.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial markets appreciate bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

This investigation benefits researchers, customers, banking executives, regulators and activist groups.

This investigation benefits researchers, customers, banking executives, regulators and activist groups. First, the authors show that in addition to customers, analysts and the financial market appreciates bank CSR strengths. Second, despite sophisticated financial reporting by banks, analysts correctly distinguish and construe bank CSR strengths. Third, the authors demonstrate a method for bank marketing researchers to validate genuine bank CSR activity, as well as provide additional support for customer related bank CSR outcomes. Fourth, the findings highlight the importance for banks to have high-quality CSR reporting. This might be especially helpful to a bank rebuilding its reputation after a CSR failure. Finally, this investigation using US banks could serve as a precursor for future bank CSR research and help develop CSR reporting guidelines for banks in emerging economies.

This study aims to analyze why listed Taiwanese firms uniquely rejected the early adoption of International Financial Reporting Standards (IFRS) in 2012. It investigates the underlying decision-making processes behind this policy reluctance to further understand the continuous phenomenon of rare voluntary IFRS adoption.

It reports on fieldwork evidence obtained in situ by in-depth interviewing in Mandarin. It uses qualitative methods, complemented by quantitative cost-benefit metrics of IFRS adoption. It presents five diverse illustrative case-study vignettes, using a judgment sample based on expert opinion.

While the net-benefits of implementing IFRS varied across firms, this study’s unanimous finding was that no firms (in the sample or population) adopted IFRS early, despite stated intentions to the contrary. The key reasons for shunning early IFRS adoption were found to be frequent changes in regulations, insufficient benefits from adopting IFRS and the undermining of comparability across companies, compounded with scarce preparation time. Further, this study found that the Taiwanese accounting regulator’s reluctance toward IFRS adoption, partly caused by a long-standing US influence, contributed to this anomalous outcome.

This study recommends two critical policy changes: more realistic timelines and less frequent regulatory changes.

To the best of the authors’ knowledge, this is the first study to investigate the reasons behind the anomaly of no early adoption of IFRS in Taiwan, using new primary data and illustrative case studies. Its novelty lies in extending understanding beyond the existing quantitative literature on accounting standards, using new “thick” qualitative evidence on motives for such choices and decision-making processes, which have been neglected in previous work.