Applying “SEVALERPS ” a Systematic Evaluation Method for ERP selection in a Public Administration’s Case Study

Abstract — Enterprise Resource Planning (ERP) systems ’ evaluation is an important activity to undertake in any ERP acquisition project. Empirical research has shown that selecting an inappropriate ERP system is a major reason for its implementation failure. Actually, inadequately selected ERP systems may affect companies ’ market share and increase implementation time, effort and cost relating to these solutions. These negative impacts could even jeopardize the very existence of large organizations. A review of relevant literature has identified a need for methodologies, methods and approaches which could assist organizations in the risky, time consuming and complex activity of ERP selection. In this regard, we have developed in our previous works a systematic method, called SEVALERPS (Systematic EVALuation for ERP Systems), to help organizations to choose among the available ERP solutions, the ones that could best fit their requirements. This paper aims to validate the SEVALERPS method by applying it in a public administration’s case study. This case study helps to illustrate the method and to discuss its added value

Connected Mental Health: Systematic Mapping Study

Background: Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers. Objective: The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database. Methods: A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted. Results: The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted. Conclusions: CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues

Connected Mental Health: Systematic Mapping Study

Background: Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers. Objective: The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database. Methods: A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted. Results: The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted. Conclusions: CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues