Business intelligence has an important role in achieving success and creating a competitive advantage, and therefore the purpose of this study was to provide a model of business intelligence components.

This study was applied in terms of purpose and quantitative in terms of implementation. The research population was managers and experts of the Information and Communication Technology Department of the Ministry of Oil in 2020. The sample size was 93 people who were selected by available sampling method. The research instrument was a researcher-made questionnaire of business intelligence (64 items) whose psychometric indices were examined. Data were analyzed by exploratory factor analysis and structural equation modeling in SPSS and SMART-PLS software.

The results showed that the factor load and the mean variance extracted of all components were higher than 0.50 and the combined reliability of all components was higher than 0.80. Also, the model of business intelligence components had a good fit and all 12 components of quality information, quality users, quality systems, business intelligence governance, successful establishment of business intelligence, organizational culture, perception of observability, perception of testability, perception of complexity, perception of Adaptability, perception of comparative advantage and utilization of knowledge for sustainable competitive advantage had a significant effect on business intelligence (P <0.05).

According to the model of business intelligence components, planning to use the model in order to gain a competitive advantage is necessary.

Artificial intelligence, as one of the advanced and innovative technologies, has a significant impact on the development and progress of various industries. In recent years, artificial intelligence technologies have been recognized as one of the main drivers of economic development in various countries, and leading countries' governments are taking the lead in adopting governance policies to develop these technologies. This study aims to examine the governance experiences of selected countries (China, England, the Netherlands, Brazil, and Canada) in the development of artificial intelligence technologies from a policy perspective and providing lessons learned for Iran. Selected countries were chosen based on three criteria: being advanced in AI governance, having the most regional and economic similarity to Iran, and ultimately the extent of researchers' access to information.In this study, the identification and analysis of the policy programs and overall governance strategies of selected countries were conducted through a systematic review of documents and qualitative content analysis. Finally, based on the framework derived from the literature, this study categorizes the governance strategies for the development of artificial intelligence technologies in selected countries into four categories: 1) data-informed decision making, 2) automation-centered governance, 3) productivity-enhancing governance, and 4) greater equality and poverty reduction.

Clinical Governance appeared as a new approach in the establishment of a system of quality improvement in health care management that identifying the effective factors with them in order to effective implementation is essential. In this way cultural intelligence as a dependent variable refers to ability of meeting with people of other culture. In this regard the present study has been conducted with the aim of modeling relations between cultural intelligence and clinical governance among Nurses of public hospitals in Kermanshah. This is a descriptive-correlative study. Population consisted of all Nurses working in two public hospitals in Kermanshah (386persons) and a sample of 137 persons were selected، using simple random sampling. For gathering data two questionnaires namely Clinical Governance (Mirkamali et al، 2013) and Cultural Intelligence (Lugo، 2007) that their validity and reliability were confirmed used. The structural equation modeling was used for analyzing data. The results showed that there is a significant relationship between cultural intelligence and clinical governance of nurses with standard coefficient (0. 66)، t (5. 92) and sig (0. 01). Also among demographic variables such as sexuality، age، background، the single or marriage with cultural intelligence and clinical Governance there is not seen any relation. Considering the fact that cultural intelligence is one of the affective variables on clinical Governance، so it will be expected that health care management system with a focus on cultural intelligence would be take some strong steps for improving the establishment and effectiveness of clinical governance because، in base of research findings، nurses with high cultural intelligence have a worthwhile figure at effectiveness of clinical governance procedure.

This article seeks to examine the role of intelligence agencies in state-craft. The authors define state-craft as an intrinsic act of the government and considers the philosophy of existence of intelligence institutions as playing a role in state-craft and believe that intelligence organizations have four cognitive, supervisory, safeguarding and executive roles in order to run an efficient state-craft. This paper considers the relationship between intelligence activity and governance as a developmental relationship and believes that intelligence activity is a requirement of governance and governance is not possible without intelligence activity. The author presents three historical theoretical approaches to information, including "information as the discovery of secrets", "information as the interpretation of secrets" and "information as a tool for creating the environment" regarding the role of information in governance.

From the consequences of business intelligence, we can mention the realization of organizational goals, having a systematic and standard structure on the consequences of business intelligence in terms of ethical decision-making, and increasing the ability to process data. The purpose of this research is to provide a comprehensive model regarding the process of business intelligence in accounting businesses, including ethical decision-making, so that in this way it can help to spread business and ethical intelligence more, of course, with importance in the said accounting business. In this research, using the contextual theory method, the parameters of business intelligence were identified in terms of ethical decision-making. For this purpose, causal, background, intervening factors, business intelligence action strategies, and the consequences of business intelligence were first identified. And then, using the structural model, the relationships between the factors were identified. The results show that organizations are different from other organizations in terms of structure, culture, and type of workforce. In terms of ethical decision-making, they can be effective in the consequences and response of business intelligence. Although so far none of the internal research has addressed the issue of business intelligence model design in terms of ethical decision-making in accounting businesses, but the mixed approach to modelling applied using the data theory method of the primary model foundation shows that the design of the business intelligence model in terms of ethical decision-making in accounting businesses can measure the effect of auditors' ethical decision-making in the organization and its effect on the design of business intelligence.

Goal: Business Intelligence systems couple operational data with analytical tools to produce information of competitive value for planners and decision makers. These systems can handle huge amounts of information and are capable of identifying information to develop new opportunities. Thus competitive market advantage and effective strategy insight are gained by implementing Business Intelligence based systems.
So that, studies show that benefits Business Intelligence bring to companies: faster and more accurate reporting, an improved decision-making process, improved customer satisfaction, increased revenues, savings in IT; and savings in other areas (in addition to information technology). In addition, the benefits of Business Intelligence as: an increase in revenue, an increase in profit, improved customer satisfaction, a reduction of costs, and an increase in market share. However, very few studies have empirically evaluated these assertions theoretically and a dearth of studies exists in the literature when it comes to empirical evidence to ascertain some of these claims of Business Intelligence systems benefits.
On the other hand, Contemporary banks face challenges such as fierce competition, a highly dynamic market, the necessity of strict control, varying client demands and risk management are only some of the features of the business environment where modern banks conduct their operations. In addition, concerns such as suppression and detection of fraud, risk management, customer management, loss prevention and product management, are some of the primary problems of financial institutions.
In recent years, banks strive to adopt diverse forms of Business Intelligence tools to curtail the challenges they face. Some of the areas Business Intelligence covers in the bank include: “Customer Relationship Management (CRM), Performance Management (PM), Risk Management (RM), Asset and Liability Management (ALM), and Compliance”. Online analytical processing (OLAP) and data warehouse are used for the informational basis for the application of Business Intelligence in the banks, whilst data mining and knowledge retrieval handle “complex statistical analysis discovering hidden relationships between data and forecasting the behavior trends of business systems”.
Iranian’s banking industry is undergoing through a phase of major transformation, with entry of more players in an already competitive environment and as a result one common theme being seen across banks in Iran is increased Implementation of Business Intelligence and analytics to drive their overall profitability, competitiveness, performance management and risk management. This study wanted to answer this question, “Are the banks that have implemented Business Intelligence systems really benefitting from these reported benefits? Is it true that Business Intelligence systems can improve the banks financial performance”?
So, this study examines the effect of Business Intelligence on financial performance of banks in Iran over the period 2006-2015.
The data is collected from Financial Statements Analysis of Iranian banks Sector.
This study has chosen to use Principal component analysis (PCA) method and panel data regression models as a quantifiable measure to assess the Business Intelligence index and then, its effects on financial performance of Iranian banks respectively.
Independent variable used in this research is Business Intelligence and dependent variables used are Return on assets (ROA), Return on equity (ROE), loans to assets ratio and cost-to-income ratio that they are proxy variables of financial soundness indicators.
In this study, Business Intelligence index (independent variable) calculated on according to Wixom (2008) study to use of 4 variables. These variables are information technology, human resource, customers and competitors.
Findings show that, Business Intelligence has positive and significant effect on bank's Return on assets (ROA), loans to assets ratio and first lag of Return on equity (ROE). Also, Business Intelligence can decrease cost-to-income ratio of banks after year.
Practically, this study has shown that the adoption of Business Intelligence systems can have both financial and nonfinancial effects on banking performance. This has provided an insight to managers and policymakers that in evaluating the effects Business Intelligence systems, they should take a comprehensive approach and consider both the financial and non-financial aspects due to the intangibility of some of the benefits. In addition, it is recommended that bank managers should also encourage the use of Business Intelligence systems in all their operations which with time can translate to the financial gains of the banks. Then, banks can use of this technology for Improvement financial performance. That's while, only 3 banks use Business Intelligence in Iran.

Artificial intelligence will be one of the main drivers of human life at least in the next decade. Therefore, many governments are striving to plan and utilize the benefits of this technology. To this end, one of the focus areas has been the analysis of ecosystems and providing the groundwork for the development of this technology and wealth creation. However, research findings show that the artificial intelligence ecosystem in the country has not yet taken shape in the true sense, and it is in the early stages of formation, in terms of maturity. There is still no relative consensus among actors for dividing tasks and missions. In this article, using qualitative research methods and based on library studies, structured interviews, and expert panels, the country's artificial intelligence ecosystem has been analyzed, and a proposed model for redesigning it has been mapped out. The proposed model consists of 16 functions and seven main actor groups that must interact with each other. In the proposed model, there are gaps in institutions that currently do not exist or have not played a significant role, which include: governance gap, awareness-raising gap, standardization gap, ethical institution gap, innovation development gap, data governance gap, consortia, business cluster gaps, and the network institution gap. In addition to these, in some of the functions, institutions or organizations have been considered for them, but for various reasons, the desired and suitable output for advancing that function is not seen in the artificial intelligence ecosystem. These functional weaknesses are mainly related to monitoring, research and development, technical infrastructure provision, and the provision of other technical services.

The presence of intelligence organizations in different aspects of governance including political، economic and social ones has been one of the serious concerns for researchers and public opinion. The most important question in this regard is that what factors play role in identifying the quantity and quality of intelligence organizations’ interference in different spheres of governance and why various issues place in the agenda of intelligence services while the nature of different intelligence services is the same. By presenting two complementary hypotheses، this article shows that the type of political system and its interpretation about national security in different countries are the determining variables of the influence spheres for intelligence organizations. On this basis، authoritarianism in public administration culminates in broadening the agenda of intelligence services while democracy causes narrowing these spheres. On the other hand، reductionist or integrated interpretation of national security، in its turn، culminates in narrowing or broadening the agenda of intelligence in governance.

This study aimed to evaluate the alignment of business intelligence capabilities and components in order to create Business Intelligences benefits based on Gartner Maturity Model. Method of purpose and the method of data collection is descriptive and correlational.Study population contains 149 small and medium businesses that according to Morgan table with a cluster sampling method, a sample of 108 companies were selected and finally with collected 100 questionnaires from these companies, structural equation modeling is used to assess relationships between variables. Results indicate a significant relationship between the capabilities of business intelligence and its components and moderate variable of maturity levels of business intelligence played no role in this relationship.In addition,the only meaningful direct relattionship is between business intelligence capabilities and its benefits and mediator variable cant play the indirect role between business intelligence capabilities and its benefits because there is no significant relationship between the components of business intelligence and benefits.

Due to the inherent complexity and increasing competition, today's business environment requires new approaches in organizing and managing. One of the new approaches is business intelligence, which is the most critical technology to help manage and deliver smart services, especially business reporting. Business intelligence enables firms to manage their business efficiently to meet the needs of businesses at different macro, middle and even operations levels. In this paper, while investigating the feasibility of implementing business intelligence in firms, designing business intelligence to report and present new services is discussed. In order to demonstrate the capabilities of this type of intelligence, an approach based on the concept of Bayesian network in the application layer of business intelligence is presented. This approach is implemented for one of the companies governed by the Iranian Industrial Development and Renovation Organization, and the effects of important accounting and financial variables on the firm goals are investigated.