AIDSS-HR: An Automated Intelligent Decision Support System for Enhancing the Performance of Employees
نویسندگان
چکیده
The performance of employees in an organization is a very important issue for effective delivery and output. Various performance management systems with the aid of Information and Communication Technology (ICT) are currently being used by companies. Such systems are most of the time connected and accessible through to the internet/www. Through review of relevant literature and a system development methodology, this paper proposes an Automated Intelligent Decision Support – Human Resource (AIDSS-HR) system that seeks to control and manage employee activities by tracking the number of years a staff has been at post, keeping inventory on logistics, analyzing appraisal reports of an individual staff and invoking real time prompts devoid of false alarm. The implementation of AIDSS-HR will improve the performance management of employees and benefit the organization, employees and developing nations as a whole.
منابع مشابه
AN INTELLIGENT INFORMATION SYSTEM FOR FUZZY ADDITIVE MODELLING (HYDROLOGICAL RISK APPLICATION)
In this paper we propose and construct Fuzzy Algebraic Additive Model, for the estimation of risk in various fields of human activities or nature’s behavior. Though the proposed model is useful in a wide range of scientific fields, it was designed for to torrential risk evaluation in the area of river Evros. Clearly the model’s performance improves when the number of parameters and the actual d...
متن کاملCorrelation of Big Data with Supply Chain Health Performance in Employees of the Tehran Intelligent Fuel System
Introduction: The dramatic growth of big data and its application in preventing waste of resources and increasing financial performance and supply chain health levels, need to be examined from different perspectives. This study aimed to determine the correlation between big data and supply chain health performance in employees of Tehran Intelligent Fuel System. Methods: In this descriptive cor...
متن کاملDecision Support System for Age-Related Macular Degeneration Using Convolutional Neural Networks
Introduction: Age-related macular degeneration (AMD) is one of the major causes of visual loss among the elderly. It causes degeneration of cells in the macula. Early diagnosis can be helpful in preventing blindness. Drusen are the initial symptoms of AMD. Since drusen have a wide variety, locating them in screening images is difficult and time-consuming. An automated digital fundus photography...
متن کاملDetermination of the Most Important Diagnostic Criteria for COVID-19: A Step forward to Design an Intelligent Clinical Decision Support System
Background & Objective: Since the clinical and epidemiologic characteristics of coronavirus disease 2019 (COVID-19) is not well known yet, investigating its origin, etiology, diagnostic criteria, clinical manifestations, risk factors, treatments, and other related aspects is extremely important. In this situation, clinical experts face many uncertainties to make decision about COVID-19 progn...
متن کاملDesign and implementation of an intelligent clinical decision support system for diagnosis and prediction of chronic kidney disease
Introduction: Chronic kidney disease (CKD) is one of the most important public health concerns worldwide. The steady increase in the number of people with End-stage renal disease (ESRD) needing a kidney transplant to survive and incur high costs, highlights early diagnosis and treatment of the disease. This study aimed to design a Clinical Decision Support System (CDSS) for diagnosing CKD and p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1307.8335 شماره
صفحات -
تاریخ انتشار 2013