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This study aims to investigate the effect of the usage of e‐HRM on HRM system effectiveness and organizational effectiveness. The dearth of empirical studies in developing countries, especially in Ghana, warranted this study. The study adopts a quantitative cross‐sectional approach and uses descriptive and inferential research approaches. The targeted population was employees, HR professionals, and line managers at Tata Africa Holdings (Ghana) Limited, Alliance Motors (Ghana) Limited, and MTN Ghana Limited (N = 610). The sample size was determined using Cochran's (1977) sample size formula (n = 236). Data was collected using a structured questionnaire constructed in Likert‐scale style and self‐administered. The sampling technique was stratified random sampling. Data were analyzed using structural equation model‐partial least square (version 3.0). The results revealed that e‐HRM tools have statistical significance for policy‐level effectiveness, technical effectiveness, strategic effectiveness, and human resource management effectiveness. There is a positive relationship between policy‐level effectiveness and organizational effectiveness and between strategic‐level effectiveness and organizational effectiveness. However, there is a negative relationship between technical effectiveness and organizational effectiveness and between HRME and OE. It was recommended that management introduce e‐HRM technologies since they have a positive relationship between HRM effectiveness and organizational effectiveness.

The study presents a soil survey carried out in two nyayapanchayats, consisting of 23 villages of Amethi district of Uttar Pradesh. The soil resource database has been generated by interpreting Resourcesat-1 LISS-IV and Cartosat-1 merged data on 1:10,000 scale. Six physiographic units have been delineated in the area and soil compositions in each unit have been correlated. Twelve soil series have been mapped. The soil database was integrated with plot (khasra) boundary which help in generating soil information at plot and farmer level. Village level action plan for sustainable land and crop management has also been prepared. Information on land capability, land irrigability, crop suitability and Storie index rating have also been generated. It is observed that LISS-IV and Cartosat-1 merged satellite data help in generating village level soil information, useful for detailed micro-level planning. The soil problems identified in the area include sodicity, erosion, and poor drainage.

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