Journal of

Background and Aim: Nowadays, e-procurement systems have provided many opportunities to improve supply and procurement activities in healthcare industry through Internet-based electronic communications for supplier-buyer interactions. Considering the fact that the implementation of these systems is not successful in many cases, extensive preparation in relevant areas is necessary before implementation. This paper aims to present a framework of key readiness factors of hospitals for the adoption of e-procurement system.
Materials and Methods: This study was an applied descriptive survey. The framework of readiness factors was developed based on an extensive review of literature and e-readiness models as well as opinions of experts in the field of information technology, procurement, and healthcare systems. The proposed framework was applied in a case study of a specialty hospital located in Tehran in 2016. The data were collected using a questionnaire, and Fuzzy Cognitive Map (FCM) method was used for modeling and analysis of the identified factors.
Results: In this research, a comprehensive framework of critical readiness factors of hospitals for e-procurement adoption was developed comprising five main components: management, technology, process, human resource, and environment. Environmental and managerial factors were identified as the most important readiness determinants of the case hospital, and among various factors, managers' expertise in IT, IT infrastructures of hospital, and continuous monitoring of system's performance are of higher priority.
Conclusion: This paper provides guidance for more accurate planning to improve readiness and successful adoption of e-procurement systems in hospitals by identifying the most important influential readiness factors.

Background and Aim: To understand veterans’ needs and to make future generations familiar with the culture of self-sacrifice and martyrdom, we need a database to store information. The first step for designing a base is to provide a conceptual framework of the base. This study aims to provide a conceptual model to create the national base of veterans in Iran. 
Materials and Methods: This research was conducted in a two-step, mixed approach. The first step was conducted using content analysis method (quantitative) and the second step using Delphi (qualitative) technique. Data collection tool was Excel 2016 software. With the help of Delphi technique, a researcher-made conceptual pattern was sent to the experts in three rounds. Based on their views, the final plan of national base of veterans was formed.
Results: Among the main components, introduction to the war was removed, history of war changed to history of wars, link to links, other materials to other contents, art and war to war and art, and the sub-component of possibilities turned into the main component. Veterans’ personal information turned into veterans’ database that changed into subsidiary components of the martyrs / veterans / prisoners-of-war / warriors database.
Conclusion: The main components of the conceptual pattern of national base of veterans of Iran include: home page, introduction, conflicts and operations, equipment, war zones, facilities, news, cemeteries of martyrs, veterans’ rules, questions and answers, history of wars, war and art, veterans’ database, archives, links, guide, contact with us, FAQs, other content, resources, about the base, search, map.

Background and Aim: In the field of scientometrics, little attention has been paid to stem cells. Therefore, the purpose of this study is to draw a Scientific Map of stem cells area (co-word analysis) based on the papers indexed in Web of Science database in selected countries during the years 2011-2013.
Materials and Methods: This study is based on descriptive method, and it was conducted by scientometrics and co-word analysis technique. In this study, 34,142 articles were analyzed from Web of Science database. The search system of Web of Science is a tool for collecting data. Data analysis was done using Web of Science analysis system and CiteSpace software.
Results: Most productions in stem cells are in English and belong to America. Stem cell, cell differentiation, in vitro, gene expression, mesenchymal stem cells, embryonic stem cells and transplantation are the most frequently used words and hot topics in this field.
Conclusion: The growing trend in this area has caused different subject fields to enter stem cells areas. Considering the high frequency of embryonic stem cells in the field, it can be said that different diseases such as spinal cord problems and heart diseases can be treated using these cells.