Job satisfaction is a goal of every organization and human resources department. Many studies have shown the relationship between employee satisfaction as a predictive factor for a variety of key organizational indicators such as employee commitment, employee engagement, productivity, attrition, and turnover. Engaging in well-being activities is one strategy that companies can use to boost employee satisfaction. The term “well-being” activities in Hebrew is a bit different from the common use of the word in the literature. It is a combination of the concepts of Fun Activities, Employee Experience and Perks and Benefits. In High-tech companies, there are many activities aimed at creating a positive employee experience and an attractive organizational culture. These activities include a vast range of activities such as: department events, happy hours, company events, holiday gifts, enrichment activities, sports classes (for example, yoga), and more benefits. Despite the considerable investment in this budget, there are not many studies illustrating the contribution of well-being activities to employee satisfaction and their ROI. The purpose of this study was to examine the relationship between workplace well-being activities and job satisfaction in the Israeli high-tech market. The hypothesis of this study was that there is a positive relationship between well-being activities in the workplace and satisfaction in the workplace, but also to identify which issues within the well-being policy will predict the highest level of employee satisfaction. The study was conducted among 91 employees from a variety of high-tech companies in the Israeli market. The study’s findings supported the hypothesis. Practical suggestions for organizations for the successful implementation of well-being policies are discussed.

This study focuses on the use of the Soil and Water Assessment Tool (SWAT) model for water budgeting and resource planning in Oued Cherraa basin. The combination of hydrological models such as SWAT with reliable meteorological data makes it possible to simulate water availability and manage water resources. In this study, the SWAT model was employed to estimate hydrological parameters in the Oued Cherra basin, utilizing meteorological data (2012–2020) sourced from the Moulouya Hydraulic Basin Agency (ABHM). The hydrology of the basin is therefore represented by point data from the Tazarhine hydrological station for the 2009–2020 period. In order to optimize the accuracy of a specific model, namely SWAT-CUP, a calibration and validation process was carried out on the aforementioned model using observed flow data. The SUFI-2 algorithm was utilized in this process, with the aim of enhancing its precision. The performance of the model was then evaluated using statistical parameters, with particular attention being given to Nash-Sutcliffe efficiency (NSE) and coefficient of determination (R²). The NSE values for the study were 0.58 for calibration and 0.60 for validation, while the corresponding R² values were 0.66 and 0.63. The study examined 16 hydrological parameters for Oued Cherra, determining that evapotranspiration accounted for 89% of the annual rainfall, while surface runoff constituted only 6%. It also showed that groundwater recharge was pretty much negligible. This emphasized how important it is to manage water resources effectively. The calibrated SWAT model replicated flow patterns pretty well, which gave us some valuable insights into the water balance and availability. The study’s primary conclusions were that surface water is limited and that shallow aquifers are a really important source of water storage, especially for irrigation during droughts.