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Construction organizations are challenged with effective management of their human resource (HR) as both are integral to each other. But the state of practice in the developing countries is not encouraging and construction professionals found themselves less motivated and enthusiastic about their job. This pushes to study the motivational needs of construction professionals of different career levels. Therefore, the current study benchmarks the HR practices of the construction industry of Pakistan to measure if there is any difference between what professionals truly value and what they get. In doing so, data was collected from 250 professionals through a questionnaire survey. Results reveal that most of the motivational needs are not gratified and the only stakeholder doing better are clients who’s mid- and end-career professionals feel somewhat satisfied. Practical suggestions are provided to help the construction industry upgrade its HR vision and facilitate its most precious resource.

The water level in a river defines the nature of flow and is fundamental to flood analysis. Extreme fluctuation in water levels in rivers, such as floods and droughts, are catastrophic in every manner, therefore, forecasting at an early stage would prevent possible disasters and relief efforts could be set up on time. This study aims to digitally model the water level in the Kabul River to prevent and alleviate the effects of any change in water level in this river downstream. This study used a machine learning tool known as the automatic autoregressive integrated moving average for statistical methodological analysis for forecasting the river flow. Based on the hydrological data collected from the water level of Kabul River in Swat, the water levels from 2011–2030 were forecasted, which were based on the lowest value of Akaike Information Criterion as 9.216. It was concluded that the water flow started to increase from the year 2011 till it reached its peak value in the year 2019–2020, and then the water level will maintain its maximum level to 250 cumecs and minimum level to 10 cumecs till 2030. The need for this research is justified as it could prove helpful in establishing guidelines for hydrological designers, the planning and management of water, hydropower engineering projects, as an indicator for weather prediction, and for the people who are greatly dependent on the Kabul River for their survival.