جستجوی مقالات مرتبط با کلیدواژه « MADM » در نشریات گروه « کتابداری و مدیریت اطلاعات »

Improving the quality of supply chain performance in manufacturing sectors, factories and businesses are one of the most important objectives of managers in each country, and the economic future of each country depends on the performance of the supply chains. Also, the increasing development of the Internet of Things (IoT) has an important role in facilitating the process of businesses in different parts of the supply chain. Internet of things has many applications in this area. The aim of this study is to identify and prioritize the internet of things applications in supply chain management (SCM) with multi criteria decision making (MCDM) approach. In this research, COPRAS, a MCDM method has been used. The evaluation criteria are derived based on the opinions of experts in the Iranian society of information and communication technology and managers working in the companies that are using the IoT. These criteria are selected by thematic analysis method. The research method is applicable in terms of purpose and is descriptive in terms of means of data collection. Research shows that "Monitoring and Control of perishable food and medicine", "maintaining employee health in different industries", "Smart Manufacturing Line and Smart Devices," and “Smart maintenance and repair” are the most important application of IoT in SCM.

We aimed to determine the degree of importance and prioritize management traits by means of decision making models using Fuzzy multi-criteria decision-making procedure and provide a suitable model to identify factors affecting the selection of directors of the public libraries on the basis of the librarian's perspectives.
In this study, we used a descriptive survey research method and a case study. This research has investigated two groups: first group included all librarians with at least five years precedency in the work of public librarianship in Guilan public libraries and the second group, included experts in the field of library and information sciences, who have had PhD degree and have had experience of working in libraries. We used SPSS19 for analyzing extracted data.
Findings: results showed that the measure namely “knowledge and expertise” with normal weight 0/275 was the most important trait for election of a director. Other measures sequently were “managerial skills” with a normal weight of 0/201, “insight and vision” with normal weight of 0/181, “personality” with normal weight of 0/127, “objectivity” with normal weight of 0/121, and a normal-weight measures “professional reputation” with normal weight of 0/103.
Originality/value: Given the importance of the selection of managers in organizations, having a measurable tool for identifying potential options is a necessity in all organizations, especially public libraries as cultural foundations.