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Because of importance of technological learning for less developed countries, the notion has received increasing attention of scholars. The purpose of this paper is to investigate technological learning systematically by assessing the effect of technology transfer actors on technological learning in less developed countries context.

The paper presents assessment model by adopting technological learning concept based on technology absorption and incremental innovation at firm level and identifying key roles of technology transfer actors (State – Scientific and technological infrastructure – Industry) that affect technological learning. The paper follows survey as research methodology. Thus, a questionnaire was addressed to 33 Syrian textile factories to examine the assessment model. Simple linear, multiple linear and ordinal regression analyses are preformed to examine relationships of model components.

The regression models show notable ability of technology transfer actors to explain technological behavior of firms to accumulate operative capability and consequently to generate passive incremental innovation. The findings indicate passive technical change system of Syrian textile industry. Therefore, goal-oriented evaluation of actual technology policy is preliminary step for achieving improvements, as well as activating scientific and technological infrastructure role by enabling strong relationships with industry and supporting interactions of domestic firms of textile industry and with foreign players.

The paper enriches technological learning literature by proposing systematic approach that sets the nature of technical change process of less developed countries in core of analysis. Moreover, it provides a guide for technological learning practices at firm level and for policymakers based on assessing actual status of Syrian textile industry.

The purpose of this study is to investigate the impact of policy uncertainty on firm performance and to examine how the different cultural societies deal with the policy-induced uncertainty.

The authors use data of European non-financial firms to extend the growing literature on policy uncertainty, firm performance and national culture. The authors consider financial as well as market proxies to measure firm performance and use Hofstede's cultural dimensions as a proxy for national culture. The authors apply the generalized method of moments (GMM-system) regression technique on a dataset of 702 non-financial European firms, listed during the period 2002–2018.

The authors find overwhelming evidence that policy uncertainty reduces the performance of the European firms; however, cultural differences among different European countries moderate the impact of policy uncertainty on the financial as well as the market performance of the firms. The results of this study show that European cultures with high power distance, individualism, masculinity and indulgence efficiently deal with the economic policy uncertainty. While the European societies with high uncertainty avoidance fail to cope with policy-induced uncertainty. The results are robust to different regression models, alternate proxies of firm performance and endogeneity issues.

The authors argue that policy uncertainty increases information asymmetry and decreases firm performance, therefore, the policymakers shall be considerate of the consequences of the policy-induced uncertainty in the society and business arena that would not only adversely affect the firms but also the economy.

To the best of the authors' knowledge, this is the first study that investigates the role of national culture on the relationship between policy uncertainty and firm performance in the European context.

The authors performed a systematic review and meta-analysis of all published randomized controlled trials with the aim to determine and quantify the anti-hyperglycemic effects of glutamine (Gln) in acute and chronic clinical settings.

The authors conducted a comprehensive search of all randomized clinical trials performed up to December 2018, to identify those investigating the impact of Gln supplementation on fasting blood sugar (FBS), insulin levels and homeostatic model assessment-insulin resistance (HOMA-IR) via ISI Web of Science, Cochrane library PubMed and SCOPUS databases. A meta-analysis of eligible studies was conducted using random effects model to estimate the pooled effect size. Fractional polynomial modeling was used to explore the dose–response relationships between Gln supplementation and diabetic indices.

The results of the present meta-analysis suggest that of Gln supplementation had a significant effect on FBS (weighted mean difference (WMD): –2.868 mg/dl, 95 per cent CI: –5.467, –0.269, p = 0.031). However, the authors failed to observe that Gln supplementation affected insulin levels (WMD: 1.06 units, 95 per cent CI: –1.13, 3.26, p = 0.34) and HOMA-IR (WMD: 0.001 units, 95 per cent CI: –2.031, 2.029, p = 0.999). Subgroup analyses showed that the highest decrease in FBS levels was observed when the duration of intervention was less than two weeks (WMD: –4.064 mg/dl, 95 per cent CI: –7.428, –0.700, p = 0.01) and when Gln was applied via infusion (WMD: –5.334 mg/dl, 95 per cent CI: –10.48, 0.17, p = 0.04).

The results from this meta-analysis show that Gln supplementation did not have a significant effect on insulin levels and HOMA-IR. However, it did significantly reduce the levels of FBS, obtaining a higher effect when the duration of the intervention period was less than two weeks.

This study aims to expand the Unified Theory of Acceptance and Use of Technology (UTAUT2) by exploring the effect of two new predictors: technological innovativeness and information quality, along with the learning value and the original determinants that influence faculty and students’ acceptance of the Moodle-Learning Management System. The modified model includes nine predictors: performance expectancy, effort expectancy, social influence, facilitating conditions, learning value, hedonic motivation, habit, technological innovativeness and information quality.

The study is based on a cross-sectional survey design. The target population was faculty and students of the University of Kufa in Iraq. An online questionnaire was used to collect 228 responses from faculty and 553 from students.

Results of the Structural Equation Modeling (SEM) Partial Least Squares (PLS) analysis revealed that factors which influence faculty acceptance were social influence, facilitating conditions, hedonic motivation, habit, technological innovativeness and information quality, while factors which influence student acceptance were performance expectancy, facilitating conditions, learning value, hedonic motivation, habit, technological innovativeness and information quality.

The theoretical and practical contribution of the present study lies in the expansion of the UTAUT2 model through adding neoteric predictors, which are technological innovativeness and information quality. This study provides insights and further understanding of the effect of predictors (original and additive) on users’ acceptance of e-learning management system. In addition, the findings of the current study enable decision-makers and those interested in developing Moodle-LMS to obtain in-depth information on these indicators, especially in the Iraqi higher education environment.

The purpose of this paper is to investigate the associations between total quality management (TQM) core elements, knowledge management (KM) processes, and educational organization outcome with respect to academic performance (AP).

The study is based on a cross-sectional survey design. The survey was conducted on 87 colleges in Iraqi higher-education institutions (HEIs). Four main hypotheses were developed and tested statistically by applying multivariate data analyses.

The results provided evidence that both TQM core elements and KM processes should be implemented holistically. TQM core elements have a positive and significant impact on both KM processes and AP. Moreover, KM processes partially mediate the association between TQM core elements and AP.

Empirical research on the association between TQM, KM, and performance is very limited. This study provides insights and further understanding of the effect of TQM core elements on KM processes and AP, and therefore, allows decision makers to get in-depth knowledge about these associations and the mediating effect of KM in HEIs context.

The paper aims to the preparation of novel disperse dye based on azo salicylaldehyde derivatives TF-A [2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde] and full evaluation of their use as disperse dye TF-ASC [bis 2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde Schiff base with 4,4'-methylenedianiline] for dyeing polyester fabric at various conditions.

The dispersed dye was synthesized via Schiff base condensation in the presence of ceric ammonium nitrate cerium ammonium nitrate 10 mmole% as an eco-friendly catalyst at room temperature. The chemical structure of the prepared dye was characterized via elemental analysis, Fourier-transform infrared spectroscopy, 1H- and 13 C-NMR spectroscopic analysis tools. This study thoroughly examined the dyeing of disperse dye TF-ASC on polyester at various conditions. The characteristics of dyed polyester fabric were measured by colour measurements, as well as light, washing, crock fastness and finally, colour strength. The discrete fourier transform (DFT) theoretical studies, including E_HOMO, E_LUMO and optimized geometrical structure, were assumed and discussed in detail.

The results showed that the synthesized organic dye TF-ASC was highly functional and appropriate for this kind of dyeing method. The dyeing fabrics obtained from disperse dye TF-ASC, properties possess high colour strength as well as good overall fastness properties. These dyes had a high affinity for polyester fabric, with just a tiny change in dye affinity when the pH was changed, even under alkaline circumstances. The dye levelness and shade depth of the colour results were good, and there were a variety of hues from light brownish yellow to deep brownish yellow. The results obtained from DFT computational studies such as E_HOMO, E_LUMO, optimized structure, diploe moment µ and electrophilicity index deduced that prepared organic dye TF-ASC is more applicable as a dispersed dye.

This research is significant because it provides a new dye for dyeing polyethylene terephthalate fibres with exceptional brightness and levelness; the method of preparation is a useful pathway due to its being known as a green chemistry method.

In this paper, the authors investigate whether an independent and gender-diverse compensation committee strengthens the relationship between top managers' pay and firm performance in Chinese companies. The authors also investigate whether the independent compensation committee composed of all male directors is effective in designing the optimal contract for executives.

The authors use data from A-share listed companies on the Shenzhen and Shanghai stock exchanges from 2005 to 2015. As a baseline methodology, the authors use pooled ordinary least square (OLS) regression to draw inferences. In addition, cluster OLS regression, two-stage least square regression, the two-stage Heckman test and the propensity score matching method are also used to control for endogeneity issues.

The authors find evidence that an independent or gender-diverse compensation committee strengthens the link between top managers' pay and firm performance; that the presence of a woman on the compensation committee enhances the positive influence of committee independence on this relationship; that a compensation committee's independence or gender diversity is more effective in designing top managers' compensation in legal-person-controlled firms than they are in state-controlled firms; that gender diversity on the compensation committee is negatively associated with top managers' total pay; and that an independent compensation committee pays top managers more.

The study results highlight the role of an independent compensation committee in designing optimal contracts for top managers. The authors provide empirical evidence that a woman on the compensation committee strengthens its objectivity in determining top managers' compensation. The study finding supports regulatory bodies' recommendations regarding independent and women directors.

The study findings contribute to the recent debate about gender equality around the globe. Given the discrimination against women, many regulatory bodies mandate a quota for women on corporate boards. The study findings support the regulatory bodies' recommendations by highlighting the economic benefit of having women in top management positions.

This study contributes to literature by investigating the largely overlooked questions of whether having a gender-diverse or independent compensation committee strengthens the relationship between top managers' pay and firm performance; whether an independent compensation committee is more efficient in setting executives' pay when it is gender-diverse; and whether the effect of independent directors and female directors on top managers' compensation varies based on the firm's ownership structure. Overall, the main contribution of the study is that the authors provide robust empirical evidence in support of the managerial power axiom.

The purpose of this study is to analyze the literature on Lean Management and Lean Six Sigma (LM/LSS) in local government organizations (LGOs).

A systematic literature review (SLR) was conducted to extract the most relevant academic publications on LM/LSS in LGOs. ProQuest, Web of Science and Engineering Village were used to obtain the publication set. Studies were then analyzed based on author characteristics, research design characteristics and content characteristics.

The SLR yielded 53 academic publications. The primary finding is that this research area has recently received an increase in attention within these types of organizations. While this research area attracts new scholars every year, there remains insufficient collaboration across different research groups. Research methods, outcomes and future research areas were also investigated to comprehensively evaluate the literature and specify new research opportunities.

Although the SLR is a rigorous research methodology used to gather relevant publications, it is limited to the chosen information sources (i.e. platforms) to obtain the publications. Therefore, the researchers used multiple sources to maximize the likelihood of capturing publications related to this topic.

The insights presented here provide a foundational reference for researchers interested in investigating and exploring future research opportunities associated with LM/LSS in LGOs.

This study adds value to the research community through its detailed characterization and analysis of the existing research literature on LM/LSS within LGOs, an area that remains largely unexplored in the academic literature. By providing a rigorous understanding of the current status of this research area, this work responds to a notable gap. The review of the existing literature suggests that this effort represents the first comprehensive examination of the research literature on the evolution of LM/LSS, specifically focusing on LGOs as the primary application unit of interest.

This study aims to examine the extent to which information asymmetry affects investment efficiency and whether the presence of blockholders moderate this relationship.

We employ the data of firms listed on the Malaysian stock exchange for the period 2010–2018, to compose our sample. Our final sample includes the 100 largest non-financial firms based on market capitalization. Collectively, these 100 companies contribute 84.2% to the total market capitalization (MYR 1,730bn) which is representative of the whole market. The ordinary least squares regressions were used as the main estimation technique. The system generalized method of moments, two-stage least squares and propensity score matching were also used, to address potential endogeneity concerns.

We document a positively significant association of information asymmetry with investment inefficiency. These results imply that information asymmetry reduces investment efficiency and enhances sub-optimal investments. We also document that blockholders negatively moderate the relationship of information asymmetry with investment inefficiency. Further analyses show that investment inefficiency is higher in low-growth firms than in high-growth firms because of higher information asymmetry.

We focus on Malaysia, which is a predominantly common-law Anglo-Saxon country. Graff (2008) documented that the investors are treated differently across legal systems and there are differences between the continental European and Anglo-Saxon countries. La Porta et al. (1999) documented that investors tend to have more legal protection in Anglo-Saxon countries. Therefore, our results may not be generalized to countries with different legal systems.

An important implication of our findings is that stakeholders may encourage the presence of blockholders and give them a voice to weaken the positive relationship between information asymmetry and investment inefficiency.

This study contributes to the contingency literature by investigating the moderating effect of an important governance mechanism, i.e. the presence of blockholders on information asymmetry-investment efficiency nexus. Despite being important, this moderating effect has been largely overlooked in the literature. Our study contributes by providing an understanding of how blockholders can influence investment decisions, offering insights for academics, investors and policymakers focused on improving the efficacy of investment decisions and governance structure.

The purpose of this paper is to examine the impact of corporate governance (hereafter, CG) reforms on the risk disclosure quality in an emerging economy, namely Pakistan. The authors also investigate the impact of CG reforms on the relationship between CG practices and risk disclosure quality.

The authors use a manual content analysis method to a sample of non-financial companies listed on the PSX-100 index for 2009–2015, to examine the impact of CG reforms on risk disclosure quality. The authors use pooled ordinary least squares and the system GMM estimations to test the research hypotheses.

The authors find that CG reforms have a positive impact on risk disclosure quality. The results indicate that certain CG practices such as CEO duality and board independence are associated with risk disclosure quality. Interestingly, the findings also highlight the effectiveness of CG reforms by showing that the revised code positively moderates the CG practices and risk disclosure relationship.

The findings of the study have policy implications for regulatory bodies of emerging economies trying to strengthen the CG structures and to introduce risk disclosure regulations to cater the information need of stakeholders.

The authors provide new empirical evidence for the impact of CG reforms on risk disclosure quality using a unique setting of an emerging economy, namely Pakistan.