Drought is a natural phenomenon caused by the variability of climate. This study was conducted in the Songhua River Basin of China. The drought events were estimated by using the Reconnaissance Drought Index (RDI) and Standardized Precipitation Index (SPI) which are based on precipitation (P) and potential evapotranspiration (PET) data. Furthermore, drought characteristics were identified for the assessment of drought trends in the study area. Short term (3 months) and long term (12 months) projected meteorological droughts were identified by using these drought indices. Future climate precipitation and temperature time series data (2021–2099) of various Representative Concentration Pathways (RCPs) were estimated by using outputs of the Global Circulation Model downscaled with a statistical methodology. The results showed that RCP 4.5 have a greater number of moderate drought events as compared to RCP 2.6 and RCP 8.5. Moreover, it was also noted that RCP 8.5 (40 events) and RCP 4.5 (38 events) showed a higher number of severe droughts on 12-month drought analysis in the study area. A severe drought conditions projected between 2073 and 2076 with drought severity (DS-1.66) and drought intensity (DI-0.42) while extreme drying trends were projected between 2097 and 2099 with drought severity (DS-1.85) and drought intensity (DI-0.62). It was also observed that Precipitation Decile predicted a greater number of years under deficit conditions under RCP 2.6. Overall results revealed that more severe droughts are expected to occur during the late phase (2050–2099) by using RDI and SPI. A comparative analysis of 3- and 12-month drying trends showed that RDI is prevailing during the 12-month drought analysis while almost both drought indices (RDI and SPI) indicated same behavior of drought identification at 3-month drought analysis between 2021 and 2099 in the research area. The results of study will help to evaluate the risk of future drought in the study area and be beneficial for the researcher to make an appropriate mitigation strategy.

Entrepreneurial orientation is found to influence Project success along with the moderation of adaptive organizational culture and people centered management in most of the cases. This study, by addressing the moderation brings clarity to the assessment of the relation of entrepreneurial orientation dimensions on project success and is a contribution to the advancement of knowledge enhancement and improvement in Pakistan. A predominantly quantitative research strategy supported by qualitative inputs employed to obtain empirical data from 256 corporate firms in Punjab Pakistan. The gathered data examined by the structural equation modeling through Partial least square method. The results indicate that innovativeness, risk taking and proactiveness reflect the entrepreneurial orientation components. The findings of this study conclude that three dimensions of entrepreneurial orientation Innovation, Risk-taking and Proactiveness have significant and positive influence on project success. When these three dimensions of entrepreneurial orientation are moderated with adaptive organizational culture and People-Centered Management shows moderate to strong relations between different variables with a few insignificant results.

The main purpose of this study is to examine the impact of the Project Manager’s emotional Intelligence on HVAC project success in Pakistan settings along with the mediating effect of job satisfaction and organizational commitment to bring clarity to the assessment of the relationship between the Project Manager’s emotional intelligence and project success in Pakistan settings. A quantitative research strategy is applied to collect realistic data from 210 Project Managers (from all the entities involved in the execution phase of the project the important ones being Sub-Contractors, Equipment Distributors as well as Product Manufacturers) of the HVAC industry of Pakistan. The collected data was analyzed and examined by using Structured Equation Modeling through the Partial Least Square method. To analysis the collected data SPSS and Smart PLS software were used. The findings of this study showed that the Project Manager’s emotional intelligence is positively related to project success and suggest the most evident result that there is a healthy and positive effect of Job Satisfaction and organizational commitment towards the success of a project. These suggestions amplify the need of the upper management to understand the significance of the mediating roles and its willingness to take care of necessary steps for letting and giving room to the Intelligence of the Project Manager having a positive outcome on the project success. Originality: This is first study in project management in Pakistan settings and delivers an advanced knowledge of emotional intelligence along with its importance to Project Success