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Recent research validates an increasing knowledge of environmental concerns in manufacturing small and medium enterprises (SMEs). However, only a few studies maintain that green human resource management (HRM) practices and corporate social responsibility (CSR) play an important role, especially in the case of developing economies. Thus, this study aims to examine the direct and indirect relationship between green HRM practices and environmental sustainability (ES) through the mediation of CSR in SMEs in Pakistan.

The cross-sectional design of this study considers the mechanism by which green HRM practices affect ES through CSR in the context of Pakistani SMEs. The authors collected data from 320 manufacturing SMEs and used the partial least squares structural equation modelling (PLS-SEM) technique to examine the relationship between variables.

The empirical findings of this study suggest green HRM practices have a positive and significant impact on ES. Further, the second hypothesis is not supported. In addition to the direct impact, the indirect effect of green HRM practices on CSR is positive and significant. Finally, the authors determine that green HRM practices affect ES through the partial mediation of CSR.

To date, this study is the first to use CSR as a mediator between green HRM practices and ES in the context of Pakistani SMEs. The study has important implications for HRM and government policy makers, suggesting they should improve strategies in favour of the green economy. Furthermore, developing countries could design similar studies with different future sustainability factors.

This study aims to investigate the direct impact of knowledge sharing (KS) and functional flexibility (FF) on innovative work behavior (IWB) of small medium enterprises (SME’s) employees. This study also observes the mediating role of FF in the connection between KS and IWB.

This study adapted a quantitative methodology and used the cross-sectional data. Data were collected from the 751 workers of SMEs to validate the mediation model.

Results reveal that KS and FF significantly affect IWB in SME’s workers. The findings also reveal that FF acts as a mediator between KS and IWB link.

The live experience of currently working employees shows that IWB is dependent of employees' KS and FF. Moreover, this study contributed to the streams of knowledge management and organizational innovation perspective by emphasizing upon the mediating mechanism of FF.

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.

In the era of knowledge economy, the significance of intellectual capital has been increasing globally. Similarly, recent studies have focused on the importance of green intellectual capital in mitigating environmental degradation. However, only a few studies have analysed green intellectual capital and its impacts in the specific case of Pakistan. Hence, this study aims to investigate the effects of green intellectual capital on green innovation adoption in Pakistan’s manufacturing small and medium-size enterprises (SMEs).

We used a data sample of 235 SMEs, gathered from the four manufacturing sectors of Pakistan including: textile, chemical, pharmaceutical and steel and analysed using a multiple regression analysis approach.

The empirical results of this research indicate that green human capital and green structural capital significantly increase green innovation adoption. However, it must be noted that green relational capital has a positive but insignificant impact on green innovation adoption in manufacturing SMEs in Pakistan.

The findings and recommended policy measures of this study are important for the managers of manufacturing SMEs and policymakers to mitigate environmental destruction and achieve sustainable development through green intellectual capital.

The present study aims to develop a strategic business performance (SBP) model for larger firms by examining the mediating role of structural flexibility in the network capability–SBP link, as well as testing the moderating role of entrepreneurial orientation in the relationship between structural flexibility and SBP.

Data were collected from 929 senior managers/owners of large textile sector firms operating in Pakistan. Regression and bootstrapping techniques were used to test the proposed relationships.

The results revealed that network capability positively shapes firms' structural flexibility, which, in turn, helps firms achieve SBP. The present work also showed that entrepreneurial orientation strengthens the positive relationship between structural flexibility and SBP.

This study is based on the cross-sectional data, and data were collected from the textile sector firms operating in Pakistan.

The findings suggest that managers should focus on developing firms' network capability, which positively shapes structural flexibility and helps firms achieve SBP. Entrepreneurial orientation can also play an imperative role for strengthening the link between structural flexibility and SBP.

The value of the present work rests on the deeper understanding of the network capability–SBP link that it offered by examining the relationships of the network capability dimensions with SBP through structural flexibility. Moreover, by bringing to the fore firms' entrepreneurial orientation as a moderator of the structural flexibility–SBP relationship, the study provided a new vantage point to uncover the complexities involved in the links between network capability, structural flexibility, and SBP.

Currently, environmental and social concerns have made green innovation more popular among researchers and practitioners around the globe. Developed countries tend to focus more on this issue, compared to developing countries. However, the reality shows that small- to medium-sized enterprises (SMEs) are considered as high contributors to environmental pollution. This study is designed for, and conducted on, SMEs in a developing country, Pakistan. The purpose of this paper is to highlight the main determinants of green innovation adoption in SMEs in Pakistan.

A data sample of 288 SMEs from five different sectors was collected and analyzed using the partial least squares structural equation modeling technique.

The results of the study indicate that organizational and human resource factors, market and customer factors, and government support and technological factors have a positive and significant impact, whereas external partnership and cooperation, and rules and regulatory factors have an insignificant impact on green innovation adoption in SMEs in Pakistan.

The outcomes of the study have important implications for managers as well as for government policy makers regarding framing better policies to promote green practices in SMEs.

This study aims to examine the association between corporate governance mechanism and firm performance measured by return on assets (ROA). The question is whether an effective corporate governance mechanism is able to increase the firm performance of Bursa and Construction Industry Development Board (CIDB) Klang Valley, Malaysia. The main purpose of this study is the in-depth analysis of the corporate governance mechanism and construction industry Malaysia via Bursa and CIDB.

Following the primary and secondary data comparative approach, data are collected from 46 listed construction companies and 250 CIDB-registered SMEs for the financial year 2015. Descriptive statistics, Pearson correlation test are reported, and model estimation is performed using logistic regression.

The empirical outcome shows that the corporate governance mechanism is significant in case of the CIDB Malaysia-registered SMEs. While, it has insignificant impact on firm’s performance for Bursa Malaysia.

This paper offers evidence specifically for Bursa and CIDB Malaysia construction industry. It can also provide guidance to the board of directors for the subscription of shares under the corporate governance measures at Bursa Malaysia. The findings also suggest that CIDB should increase awareness regarding institutional investment to assist the securities market to develop further.

This study gives an indication about corporate governance, specifically for the CIDB-registered SMEs and Bursa Malaysia. It also discusses the matter of firm performance under the light of corporate governance.

This study aims to assess the effect of corporate lobbying power on fraud and money laundering in listed firms on the Tehran Stock Exchange. For the study, the information of 173 firms is assessed during 2013–2020, and a total number of 1,384 year-companies are analysed.

In this paper, the Beneish model is used for fraud detection, and the clause of the auditor’s report on money laundering is used for the variable of money laundering. The multivariate regression, Logistic regression, the fixed effects of panel data, additional random effects tests, Hausman, least generalised squares and T + 1 are used by using the Stata Software.

The obtained results indicate a direct and significant relationship between lobbying and fraud and lobbying and money laundering. Suppose the board members of firms are among the parliament members or the government cabinet (politicians) and/or major shareholders affiliated with state-owned and/or quasi-governmental institutions. In that case, the likelihood of corporate lobbying will be increased.

The outcomes of the current study give great insight to developing countries due to the high volume of money laundering to reduce such a financial crime.

The success rate of design-build (D-B) implementation in Malaysia’s private construction projects is low compared to the nation’s public projects. Thus, the purpose of this paper is to investigate the critical success factors (CSFs) for D-B implementation in Malaysian public construction projects.

To achieve the research objectives, 111 questionnaire survey responses from construction-related professionals were collected and analysed using multivariate analysis, including t-test, analysis of variance (ANOVA) and factor analysis.

The results indicate that while the client’s briefing effectiveness remained the top CSF among many nations, the other top CSFs in Malaysia D-B construction projects vastly differed compared to those countries. Moreover, the underlying components for successful D-B projects in Malaysia include the project management team, leader competency and “stakeholder” management.

This is one of the first studies that identify the CSFs for D-B implementation in the Malaysian construction industry. The outcomes provide a valuable reference and resource for academic scholars and construction practitioners to increase D-B implementation in the Malaysian private sector.

The purpose of the research is to determine the signs of nonoptimality of managerial decisions that are made by Russian business systems and to determine the barriers on the path of making of optimal decisions in business systems by the example of modern Russia and perspectives of overcoming them.

The information and empirical basis of the research consists of statistical materials of the World Economic Forum, RIA Rating and Samuel Centre for Social Connectedness for 2018, according to which signs of nonoptimality of managerial decisions of Russian business systems, which are observed at the macro-level, are determined. During the research, the method of systemic, problem, and logical analysis (analysis of causal connections) and the method of formalization are used.

It is determined that drawbacks of the process of making of managerial decisions in modern Russian model of this process, connected to the functional organizational structure, low marketing activity, and underdevelopment of internal business communications, create barriers on the path of making of optimal decisions: high expenditures for making of managerial decisions, duration of the process of making of managerial decisions, high complexity of choice of alternative decisions, and incomplete accounting of possibilities and problems during decision-making.

Perspectives of overcoming the determined barriers are connected to the usage of outsource during the making of managerial decisions, refusal from functional organizational structure of managerial staff, usage of means of authomatization of making of managerial decisions, and development of systemic feedback and marketing. According to the studied practical experience of the largest and well-known Russian business systems – Rosneft, Lukoil, Gazprom, and Sberbank – these perspectives (2018) are not implemented in Russia.