This study set out to determine how Emotional Intelligence (EI) impacts the success of construction projects. This study showed that organisational culture has a role in moderating the relationship between team cohesion and project success, and its significance in this regard was also examined. Workers on several construction projects in Pakistan were contacted and provided information for this study. The data was analysed utilising the regression analysis in SPSS and partial least squares in SMART PLS, and it has been found that emotional intelligence significantly influences project success. Relationships between emotional intelligence and project success are both favourable and statistically significant. Emotionally astute colleagues can help teams to build stronger bonds with one another. Furthermore, the organisational culture positively and significantly impacts the relationship between a successful project and a cohesive team.

Purpose: purpose of this study is to present a Lean Readiness Assessment Model (LRAM) for assessing the readiness of Humanitarian Organizations (HO) for adopting Lean Management (LM) (Johanson et al.) practices. Literature reveals that implementation of LM itself is a cost and most organizations have failed to adopt LM techniques due to a non-readiness status and a non-supportive organizational culture. This situation indicates that the assessment of organizations' readiness before implementation of lean techniques is necessary.Design/methodology/approach: This was an empirical quantitative study. Based on a synthesis of the literature, a conceptual model was developed by identifying seven critical success factors (CSFs). The CSFs were validated by HO professionals via a questionnaire-based survey. The data from the responses were analysed by applying partial least square structured equation modelling (PLS-SEM) using the SmartPLS3 software.Findings: A proven LRAM was constructed that consists of CSFs (independent and mediating variables), which have reflected positive coefficients and significant t >1.96 and p < 0.05 values. The CSFs that are significant include process management, planning and control management, customer relationship management, human resource management, communication and coordination management and a positive organizational culture. The CSFs of supplier relationship and top management and leadership had insignificant t and p values and were dropped from the final LRAM.Originality/value: This is a unique and rare study in its nature which developed LRAM for HO sector. The contribution of this model is to improve the efficiency and sustainability (economic and social aspects) of an HO under scarce resource conditions.

The research applies the Upper Echelons Theory and the Lehman Sisters Hypothesis to explain how women board members use investment, financial, and liquidity techniques to reduce risk and increase a firm’s value. An original dataset of listed US companies is analyzed to show how women strategists contribute to value creation and mitigate stock volatility and bankruptcy. A simultaneous equations approach captures the interplay between a company’s use of debt and financial derivatives. According to this research, organizations that employ derivative instruments benefit more from having women in advisory roles because women encourage proactive risk management and develop effective risk control measures. The research implies that businesses should actively promote gender equality on their boards rather than merely recognizing the need for diversity.

Cotton is a highly non-sustainable crop due to the requirement for substantial amounts of water and energy resources in the overall supply chain, from farm to finished product. There is a need to assess the sustainability of the cotton supply chain management system which may be achieved through more reasonable use of inputs and resources, hence lesser environmental impact, while maintaining sustained income for farmers. This research investigates the current status of sustainability in the farm level cotton supply chain and explores the influence of sustainability paradigms (economic, environmental and social) on farmers' supply chain management decisions. A survey was held (157 small and medium level cotton farmers) and data was analysed using the SPSS software with descriptive statistics of t-test, correlations and regression analysis. Results shown that small and medium level farmers are only focused on using less expensive inputs, with little concern for environmental and social matters.