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Open Access Article
1 - The impact of business intelligence on organization’s effectiveness (case study: E-Farda company)
fatemeh aminiBusiness intelligence (BI) systems provide the ability to analyze business information in order to support and improve management decision making across a broad range of business activities. The purpose of this study was to identify the influence of organizational strat MoreBusiness intelligence (BI) systems provide the ability to analyze business information in order to support and improve management decision making across a broad range of business activities. The purpose of this study was to identify the influence of organizational strategy, structure, process, culture, information content quality and information access quality on organizational effectiveness and the possible mediating role of business intelligence (BI) systems among them. For sampling, simple random - sampling method is used. Sample data for this study were collected from E-Farad organization in Tehran and analyzed using the partial least squares method, a statistical analysis technique based on the structural equation modeling. Stability of the questionnaires used in the present study was calculated higher than 0.7 in term of Cronbachalpha, confirming the reliability. The results revealed that organizational factors, such as organizational strategy, structure, culture, and information content quality positively affect both BI systems’ effectiveness and organizational effectiveness. Also, the results showed that there is not a positive and significant effect between variables of process and information access quality on the effectiveness of the organization. Manuscript profile -
Open Access Article
2 - The relationship between managers' business intelligence and organizational entrepreneurship (Case Study: Selected Branches of Bank Melli in Isfahan)
Hadi Teimouri Naeime Mohammadrezaei Elham Ghasemi maryam DezhtaherianUndoubted the business intelligence is the new approach to business and organizational architectures that provides quick access to data and analyze them based on users. Another aspect entrepreneurship is a key role in developing the economy and stability of all societie MoreUndoubted the business intelligence is the new approach to business and organizational architectures that provides quick access to data and analyze them based on users. Another aspect entrepreneurship is a key role in developing the economy and stability of all societies. So that today an indicator of the growing development in numerous countries. Therefore, the present study aims to explore the relationship between business intelligence and organizational entrepreneurship from the viewpoint of managers and employees of Melli Bank of Isfahan. A stratified random sampling method was used and a sample size of 140 was chosen from among 200 persons. The collected data was analyzed via SPSS and AMOS software. The results of this study reflect the reality that business intelligence managers have a significant impact on organizational entrepreneurship. Manuscript profile -
Open Access Article
3 - Business Intelligence Systems and Transformational Leadership in SMEs
Fereshte SoltaniIn order to survive in active and changing business environment, organizations should provide vital information for the managers by using new methods in a very short time. As Small and Medium Enterprises are the heart of economy; there’s no doubt in the importance of sm MoreIn order to survive in active and changing business environment, organizations should provide vital information for the managers by using new methods in a very short time. As Small and Medium Enterprises are the heart of economy; there’s no doubt in the importance of small and medium industries’ role in countries’ economic development so they need to use this new methods and systems. By using new technologies, SMEs are able to apply new processes like supply chain management, customer relationship management, and knowledge management. Business intelligence as a new concept could integrate the scattered and heterogeneous organizational data and by using business intelligence systems, SME's would be able to provide multi-dimensional analytical reports for their managers to make correct decisions. In addition to above systems, a powerful, committed and adaptive leadership method could provide the basis for effective utilization of the business intelligence systems. In this article, first we introduce Business Intelligence and Transformational leadership, and then we will investigate the importance of business intelligence systems usage and the role of transformational management in SMEs. Manuscript profile -
Open Access Article
4 - A Model for Business Intelligence Systems Maturity in Iran
MohammadHosein Ronaghi Marziyeh RonaghiBusiness intelligence is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. BI as a discipline is made up of several related activities, including data mining, online ana MoreBusiness intelligence is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting. Companies use BI to improve decision making, cut costs and identify new business opportunities. BI is more than just corporate reporting and more than a set of tools to coax data out of enterprise systems. With today’s BI tools, business folks can jump in and start analyzing data themselves, rather than wait for IT to run complex reports. Evaluating the effectiveness of Business intelligence system is vital to our understanding of the value and efficacy of management actions and investments. This research aims to explain and clarify the inter-relationships and the interaction effects among business intelligence systems maturity and other relevant factors such as information access quality and information content quality. We developed a model of business intelligence systems maturity based on the outcomes of previous researches and semi-structured interviews with experts in information technology. To examine the model a descriptive survey was applied. The survey sample population consisted of 100 randomly taken managers and IT managers who apply Business intelligence system in their companies, according to a cluster random sampling skim. An important part of the results revealed business intelligence systems maturity relates directly with information quality and use of information in business process. Manuscript profile -
Open Access Article
5 - A Performance Assessment Model for Business Intelligence by using Fuzzy Analysis
MohammadHosein Ronaghi Kamran FeyziBusiness intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily op MoreBusiness intelligence (BI) is the tool used by enterprises to collect, manage and analyze structural and non-structural data and also information by taking advantage of modern information technology. It utilizes a substantial amount of collected data during the daily operational processes, and transforms the data into information and knowledge to avoid the supposition and ignorance of the enterprises. In the last decade, Business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizational performance. However, to avoid the ineffective experiences during the deployment, it is important to clarify the impact factors of a BI system and find out a Suitable assessment method to evaluate the performance of BI systems. Evaluating the effectiveness of business intelligence systems is vital to our understanding of the value and efficacy of management actions and investments. This research is a descriptive survey. We construct an Assessment model to assess the performance of business intelligence systems based on the outcomes of previous researches. Furthermore, an expert questionnaire using fuzzy analytic hierarchy process (AHP) was used to filter out useful performance indicators. The analytic hierarchy process is a structured technique for organizing and analyzing complex decisions. Finally, we analyze a real case by using the constructed assessment model for Business Intelligence systems. We choose an automotive parts manufacturer as a case. The survey sample population consisted of 66 randomly taken employees and managers of the case. The results indicate that the performance of Business Intelligence system in our case was suitable. Manuscript profile -
Open Access Article
6 - Knowledge Management and Business Intelligence
Mohammad reza Mosa Khani Mahshid SaeidiThis paper explains the nature of integration between knowledge management (KM) and Business Intelligence (BI). There has been some confusion as to the relationship between KM and BI. BI mainly focuses on explicit knowledge, but KM encompasses both tacit and explicit kn MoreThis paper explains the nature of integration between knowledge management (KM) and Business Intelligence (BI). There has been some confusion as to the relationship between KM and BI. BI mainly focuses on explicit knowledge, but KM encompasses both tacit and explicit knowledge. Both of them promote learning, decision- making and understanding. KM influences BI through organizational knowledge creation, knowledge transfer and learning. Therefore, this paper defines BI as a part of KM by evaluating importance of their integration. As this relationship improves right decision-making in organizations and their performance because of the rise and fall of the economic environment, enterprises need to adjust their policies and strategies rapidly in order to respond to sophistication of competitors, customers and suppliers. Information is known as the main key for enterprises so integrating Business Intelligence and Knowledge management are used not only for saving suitable information for enterprise but also for improving performance and process of activities in organizations. Manuscript profile -
Open Access Article
7 - Different points of view for Relation of Knowledge Management and Business Intelligence
hasan rangriz nasim afshariNowadays, having the ability of foresight and decision-making is essential for any organization. Advanced and successful organizations have chosen knowledge-oriented strategy to survive in the competitive and rapidly changing environments. Handling of changes and good d MoreNowadays, having the ability of foresight and decision-making is essential for any organization. Advanced and successful organizations have chosen knowledge-oriented strategy to survive in the competitive and rapidly changing environments. Handling of changes and good decision making about them plays a central role in the future success or failure of organizations. Two important concepts that have important role in managers’ decision makings are Business Intelligence (BI) and Knowledge Management (KM). Business intelligence and knowledge management are relative concepts to each other .The relations between these concepts has not been yet offered clearly and determining the boundary of these two concepts is difficult for managers. Researchers have considered different links between them. In this paper, business intelligence and knowledge management will be defined and then different viewpoints about the type of relationship between these concepts will be expressed. In general, it is recognized that knowledge management and business intelligence both have common and same goal which is improving decision-making process and finally improving the business performance. Implementation and execution of these concepts would consider as organization's competitive advantage. However, knowledge management, including both explicit and tacit knowledge, and also considers unstructured data, while business intelligence generally focuses on explicit knowledge. Finally, concluded that, knowledge management and business intelligence should be integrated regardless of the type of relationship between them, because each has advantages and disadvantages. Manuscript profile -
Open Access Article
8 - The Impacts of Business Intelligence, Customer and Loyalty Satisfaction and Brand Value in Iran Hygienic and Cellulose Industry
Reza Aghaei Milad AghaeeToday organizations are working in an environment in which has uncertainty because of competition in the market. So, the organizations will get success which make their customers loyal by business intelligence and customer satisfaction and finally help to increase their MoreToday organizations are working in an environment in which has uncertainty because of competition in the market. So, the organizations will get success which make their customers loyal by business intelligence and customer satisfaction and finally help to increase their brand value. The aim of this research is considering the relationships between business intelligence, customer relationships and loyalty and brand value in hygienic and cellulose industry of Iran. Evaluation of each variable is a kind of decision making problem in which has internal systematic interactions between variables. So, we can use DEMATEL technique in FUZZY conditions for cause and effect relationships between variables. We benefit the ideas of 10 experts in cellulose and hygienic industry for considering the relationships between variables. The results show that there are systemic and network relation between research variables. Also, the results show that there is a two tailed relation between business intelligence and brand special value and customer satisfaction. Also, based on research results, customer satisfaction effects on loyalty, business intelligent and brand special value. Manuscript profile -
Open Access Article
9 - Designing a Model for the Realization of Economic Complexity, Based on the Meta-Analysis of Scientific Research
azadeh leili Mina RanjbarfardImplementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part MoreImplementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part of the expense of the organization. Unfortunately, with all these huge costs in these systems, more than half of the BI projects do not go to the real benefits of business intelligence systems. Here's one reason why organizations are not able to grasp the real benefits of business intelligence systems: Many of them are not ready for these systems. This is due to some of the challenges in implementing BI systems in organizations. BI implementation experiences show that the successful implementation of BI is beyond the implementation of technical infrastructure (hardware aspects) and requires the control of soft aspects and change management, which are recognized as the most difficult aspects of the successful implementation of BI applications. Business intelligence is a complex concept and has multi-layered architecture, which is why the BI readiness model is needed. Assessing BI readiness identifies specific implementation risk sections to manage and reduce these risks and thus increase the likelihood of BI success. So far, several models have been developed to prepare BI systems. In this paper, introduced models for BI readiness are presented, and then these models are compared based on the factors influencing BI readiness. Manuscript profile -
Open Access Article
10 - Presenthing Metasynthesis and Interpretive Structural Modelling Approaches in Modeling the Cloud Business Intelligence in SMEs
Fatemeh Hamidinava َAbdolhamid Ebrahimy ROOHALLAH SAMIEE HOSSEIN Dide KhaniTourism small and medium enterprises (TSMEs( are more responsive to market demand when compared with larger companies. And if they use business intelligence system, they can enjoy high competition. The cloud platform for implementing business intelligence reduces mainte MoreTourism small and medium enterprises (TSMEs( are more responsive to market demand when compared with larger companies. And if they use business intelligence system, they can enjoy high competition. The cloud platform for implementing business intelligence reduces maintenance and implementation costs for these businesses.The globalization of the markets requires the adaptation of the firm for business sustainability . Cloud deployments of BI and analytics platforms have the potential to reduce cost of ownership and speed time to deployment. In order to subsist, TSMEs have to take advantage of the new technology and new concepts for survival .The statistical population in the qualitative phase included 19 academics and experienced experts in the area of business intelligence .chosen by the purposive sampling approach. Further, in the quantitative phase, 393 people among the mangers of small and medium-sized enterprises in the Mazandaran Province, Iran, were participated. In the current study, the Meta-synthesis method has been utilized to identify the fundamental categories of business intelligence (BI). Fuzzy Delphi method (FDM) has been applied for parameter validation purposes, and eventually, the Cloud business intelligence model has been presented through exploiting the interpretive structural modeling. Final indices, 6 main factors, 27 sub-factors and 34 identifiers were obtained. In this regard, the data analysis process has been performed by MATLAB and MicMac software. Our research has shown that the two main themes of business stimuli and characteristics have the highest influence on other variables.. Manuscript profile -
Open Access Article
11 - Investigating the role of business intelligence effectiveness in organization's effectiveness
reza esmaeil pour Adel Azar Afsaneh MotamedNowsday, advances in information technology and the globalization of business markets has led to ever-increasing complexity of decision-making environment and increase decision-making efficiency. Therefore, the current managers need new technologies and tools for the su MoreNowsday, advances in information technology and the globalization of business markets has led to ever-increasing complexity of decision-making environment and increase decision-making efficiency. Therefore, the current managers need new technologies and tools for the survival and development of their activities so that they can adopt more effective decisions. Business intelligence can be used as intelligent tools and help managers at various levels. The main objective of the study was to evaluate the effect of business intelligence on organizational effectiveness. On the other hand, paying attention to identify organizational factors that are essential for the success of the organization and also examination of their relations with organizational effectiveness and organization's existing information systems such as business intelligence are considered as very important very issues. The population in this study consisted of managers & experts at Bank Mellat in the Gilan province that 256 persons were selected using stratified sampling method as a sample. The data collected was analyzed using Smart-PLS 2.0 and SPSS 24 software. After measuring the validity and reliability of the measurement model, structural model determined was evaluated by studying the relationship between latent variables. Estimated GOF criterion value represents the structural model has a strong fitness. Then, path coefficients and T Statistics was used to test the hypothesis.The Sobel test was used to investigate the hypothesis of mediation. The results showed that there is a positive and significant relationship between organizational factors and business intelligence effectiveness and organizational effectiveness.Also, results showed that there is a significant and positive relationship between organizational effectiveness and business intelligence. Manuscript profile -
Open Access Article
12 - Investigating a model of implementation and development business intelligence in organization with the purpose of improving decision-making
Payam YaghliThis article firstly tries to identify the various dimensions of successful implementation and development business intelligence as a set of technologies and processes that promote the procedure of the decision-making in the organization. Next, the effect of these dimen MoreThis article firstly tries to identify the various dimensions of successful implementation and development business intelligence as a set of technologies and processes that promote the procedure of the decision-making in the organization. Next, the effect of these dimensions on the process of decision-making in Eghtesad-e-Novin Bank, as a financial organization in which the speed of decision-making is of importance will be discussed. The criteria are the cultural, strategic and environmental factors, human resources and business intelligence tools the effects of which are discussed on the variable of "the latency in decision- making" in four divisions of organizational decision environment. The research methodology is mixed in this research and for this purpose in the qualitative part, the different dimensions of success in implementation and development business intelligence were extracted on the quality of decision-making with the Delphi technique by using the method of interviews and open questions in three stages and with the snowball method with the opinions of 18 experts. In the quantitative part, the priorities were determined with the help of the Analysis Network Process and Super Decision software. Finally, the main questionnaire has been finalized for the distribution among 90 personnel of different levels of the development and implement of business intelligence systems and the direct users of these systems in the organization. With the help of Smart Plus software and structural equations, as well as the effect of research variables on the reduction in the latency in decision-making, the relevant assumptions have been examined in a descriptive and survey manner with factor analysis. The proposed factors and models for evaluating business intelligence presented in this article help organizations, especially financial organizations in which speed in decision-making is of particular importance, to promote decision-making and minimize possible latencies in decision-making. Manuscript profile -
Open Access Article
13 - Identifying key indicators affecting the quality of decision-making in business intelligence systems by delphi method and dematel technique
Payam Yaghli Tahmores Sohrabi سید علیرضا درخشانIn accordance with Simon's decision-making model, this study first tries to identify the key indicators of business intelligence systems as a set of technologies and processes enhancing the quality of decision-making system in organizations. Next, evaluates the existenc MoreIn accordance with Simon's decision-making model, this study first tries to identify the key indicators of business intelligence systems as a set of technologies and processes enhancing the quality of decision-making system in organizations. Next, evaluates the existence of causal relationship between the decision stages and the key indicators. To identify the key indicators of business intelligence in each stage of Simon's decision making model, this paper uses Delphi method.Open-ended questions and in-depth interviews were conducted by snowball method with18 experts in the field of development and implementation of business intelligence systems in financial organizations and the final indicators were extracted. The main indicators were identified after analyzing the cause-and-effect relationships between the existing relationships and each stage of the Simon model. This paper uses dematel technique to determine effective and influential relationships and by prioritizing indicators in terms of impact and effectiveness, the results discussed. Finally, executive proposals provided to individuals responsible for development and implementation of business intelligence systems in financial organizations. The findings support that owning a business analysis department in the organization has the most interaction with extracted key indicators. Based on Simon's decision-making model, creating, implementing, and monitoring key performance indicators (KPIs) play a key role in enhancing decision quality in business intelligence systems, For financial institutions, the quality of decisions plays a crucial role in their success in a competitive market. Therefore, the results obtained through this research can be used by those responsible for the development and implementation of business intelligence systems Manuscript profile -
Open Access Article
14 - A Future Study of Business Intelligence in the Tourism Industry
nayereh abtahi Mohammad Hasan Maleki behrooz bayat tohfeh ghobadiDespite potential tourism capacities in Iran, few foreign tourists visit Iran compared to the competing countries due to the lack of infrastructure, the existence of legal barriers, and the sanctions imposed against Iran. As considerable growth in the application of inf MoreDespite potential tourism capacities in Iran, few foreign tourists visit Iran compared to the competing countries due to the lack of infrastructure, the existence of legal barriers, and the sanctions imposed against Iran. As considerable growth in the application of information technology to tourism is one of the main trends in this industry, this applied exploratory study sought to identify future scenarios of business intelligence in Iran’s tourism industry using both qualitative and quantitative methods to analyze the collected data. The population of the study comprised tourism, future study, and business intelligence experts, out of whom the intended participants were selected via judgmental sampling. The study was conducted in three phases. In the first phase, thirty effective driving forces of the prospective business intelligence in the tourism industry were identified by reviewing the related literature and interviewing the experts. In the next phase, the identified driving forces were screened and prioritized using the EDAS. To this end, the driving forces were screened via the Binominal test, twenty of which were eliminated from the analysis, accordingly. Then, the remaining ten driving forces were assessed using the EDAS method. Finally, the type of decision-making culture and the arrival of foreign tourists were selected as the final driving forces, which, together with the application of root definitions and the organization of consultation workshop, formed the basis of offering four scenarios, namely the prosperity, heterogeneity, the spider web, and the ice ages. Accordingly, the prosperity and ice age scenarios illustrate the best and worst conditions for the future of business intelligence in tourism, respectively. Manuscript profile
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