DEMATEL

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested and recognized. After that, the entrepreneurship and innovation specialists' sight were congregated based on Meta-analysis. Then, the indicators were arranged using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The outcomes found from Meta-analysis and MCDM methods were used as input and output data, respectively, to describe the methodology of evaluating and prioritizing entrepreneurial and innovative criteria in smart international companies.

This paper is aimed at evaluating critical success factors in Business Intelligence (BI) implementation in an Enterprise Resource Planning (ERP) environment. The data analysis method used in this paper is the Decision Making Trial and Evaluation Laboratory Model (DEMATEL). The study has been conducted on a cement manufacturing strategic holding company that has implemented ERP since 2010. This research is done through literature review and interviews with the head of the BI development team as the expert for this research, before distributing questionnaires to Information and Communication Technologies (ICT) Team and BI stakeholders. The questionnaire has been addressed to 18 respondents consisting of the BI development team and stakeholders, which include the Strategic Planning Division, Business Development Division, Transformation Management Division, and Accounting Division. There are 13 factors evaluated, consisting of 4 factors related to the organization, four factors related to the development process, three factors related to the technology, and two factors associated with the external environment. The most critical factor for organizational criteria is Top management support. The most important factor for process criteria is Effective project management. The most important factor for technology criteria is System reliability, flexibility, and scalability. The most important factor for environment criteria is the selection of a vendor.

Nowadays, organizational intelligence is very important in acquiring necessary information for making suitable decisions and gaining competitive benefits in active environments for generative corporations. So, the present study aims to identify and prioritize organizational intelligent criteria in the production cooperatives of Iran. In methodology,this is an applied (developmental) study objectively and a mixed (quantitative-qualitative) survey regarding the nature of data. The present study is a Grounded theory its nature and methodology in the qualitative section, while it is a descriptive-exploratory study in the quantitative section. The study population consists of experts including the managers of the Ministry of Cooperatives, Labor, and Social Welfare, who were 12 respondents selected using the non-probability purposive and snowball sampling techniques. The dimensions of organizational intelligence, including intelligent enablers, organizational intelligent capabilities, intelligent development contexts, and intelligent governance with 18 criteria were identified using the grounded method. Finally, the cause and effect relationships between the dimensions and criteria were determined by the Analytical Network Process method based on the fuzzy DEMATEL. According to DEMATEL findings, the “intelligent governance” and “intelligent development contexts” dimensions are the cause, while the “intelligent enablers” and “organizational intelligent capabilities” constitute the effect. The “customer relationship management”, “organizational learning”, and “human intelligence” criteria have respectively the most weight and priority in the organizational intelligence of production cooperatives in Iran.

Background: The Internet of things (IoT) is a new technology that expanding rapidly and has led to the emergence of new services in the banking industry. Although IoT is an emerging technology in Iran, it is expected to become a paradigm in the future. IoT applications in banking have helped to provide high quality and fast responses to customers anytime, anywhere. Purpose: This research aims to identify and prioritize IoT applications in the Iranian banking industry based on business continuity indicators. Methods: First, based on the comprehensive literature review and practical experiences, IoT applications in the banking industry are identified. Then, each indicator's weight was calculated using the Grey Decision-making trial and evaluation laboratory (DEMATEL). Finally, IoT-based applications in the Iranian banking industry have prioritized using the multi-attribute utility theory (MAUT). Due to the unstable economic conditions for the financial sector, business continuity indicators are employed in this study. Also, the reason for using MAUT is to consider the utility of banking experts for performing IoT banking services. Findings: According to results, IoT-based services in the banking industry, including Transmit instant reports, smart ATMs, non-contact electronic payments, and electronic checks, are identified for Iranian banks. Then, These appropriate services are prioritized with the capabilities of Iranian banks.

INTRODUCTION: The development and application of new firefighting technologies are inevitable considering an increase in the number of smart technologies, the widespread use of technologies in various industries and all domains of human societies, utilization of polymeric materials in the tools and infrastructure of societies, as well as the production of new structures with diverse uses, and their aggregation together. The occurrence of massive disasters due to the lack of development and application of safety along with technology is the result of neglecting safety in the development process and social progress. This study aimed to investigate the factors influencing the implementation of smart fire management using the fuzzy approach. METHODS: This descriptive-analytical study was designed based on an applied research method. Initially, all factors influencing the implementation of smart fire management were extracted from the literature. They were then evaluated based on experts and university professors' opinions. Following that, three types of questionnaires were distributed among the experts. The study population included 15 university experts and managers in the Fire Organization in Yazd, Iran. FINDINGS: The results showed that "command and operations", "integration of smart firefighting systems", "clear business plan and vision", "effective change management", "equipment", "cooperation between the business association and information technology" and "management support" obtained positive D-R and were considered causes. CONCLUSION: The "integration of smart firefighting systems" was regarded as the most effective factor, followed by "organizational resource planning", "exchange system", and "communication system" that ensure the success of these systems. This improves information flow and decision-making process, especially in a crisis.

Available research suggests using Blockchain in electronic medical files to aggregate and integrate information. While reviewing authoritative articles and books, we analyzed the challenges and opportunities of using Blockchain this way. By using the specialists' opinion, completing a specialist questionnaire, using the DEMETEL technique and interpretive structural modeling (ISM) technique, this research investigated and analyzed the possibilities of using Blockchain in electronic medical files. The pair comparison technique was used to study and analyze the challenges of using Blockchain this way. The results are stated in this research. Research achievements include the design of a model using Blockchain for electronic medical files, analysis of Block chain's opportunities and challenges, measurement of the components, design and presentation of the model, and prioritizing the challenges of using Blockchain. This research suggests that the use of Blockchain in electronic medical files can reduce extra costs, create a comprehensive system for medical records to avoid additional costs, facilitate access to patient information, and reduce medical errors. The results obtained reveal that the components of immutability and the impossibility of data forgery of patient records (based on data integration in Blockchain) have the most impact on the system. Examination of the challenges reveals that blockchain technology's challenges (low speed, difficulty working with Blockchain, poor integrations between the software for various electronic health records) are of the utmost importance.

Abstract Businesses are the heart of every economic and social system. However, some of them are faces with failure due to the lack of a proper business model or having an inappropriate one. For designing a business model or innovating it, different elements should be taken into account. Not only considering these elements is crucial, but also their role in the system and detecting the interrelations between them are of outmost importance. With this regard, the aim of this article is investigating the possible effects and impacts of each element on others in a Business Model and categorizing them based on their importance and their net contribution in the selected model. For this purpose, Decision Making Trial and Evaluation Laboratory (DEMATEL) method is hired. The business model investigated in this article is the one introduced by krumeich and consisted of 20elements. Although all the elements are interdependent, based on the findings of this research, Resource Model is the most effectual component as well as being the most important element in the system. Furthermore, Cost Model is the highest impact receiver due to the highest amount of impacts receives from other elements. The results of this research are depicted in the form of tables and graphs.