List of Articles Business Intelligence

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  1 - Business Intelligence Systems and Transformational Leadership in SMEs
  Fereshte Soltani
  10.7508/jstpi.2015.01.003
  In 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 More

  In 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
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  2 - A Model for Business Intelligence Systems Maturity in Iran
  MohammadHosein Ronaghi Marziyeh Ronaghi
  Business 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 More

  Business 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
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  3 - A Performance Assessment Model for Business Intelligence by using Fuzzy Analysis
  MohammadHosein Ronaghi Kamran Feyzi
  Business 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 More

  Business 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
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  4 - Knowledge Management and Business Intelligence
  Mohammad reza Mosa Khani Mahshid Saeidi
  This 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 More

  This 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
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  5 - Different points of view for Relation of Knowledge Management and Business Intelligence
  hasan rangriz nasim afshari
  10.7508/jstpi.2016.01.002
  Nowadays, 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 More

  Nowadays, 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
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  6 - The Impacts of Business Intelligence, Customer and Loyalty Satisfaction and Brand Value in Iran Hygienic and Cellulose Industry
  Reza Aghaei Milad Aghaee
  10.7508/jstpi.2018.04.005
  20.1001.1.17355486.1397.14.56.1.6
  Today 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 More

  Today 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
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  7 - Designing a Model for the Realization of Economic Complexity, Based on the Meta-Analysis of Scientific Research
  azadeh leili Mina Ranjbarfard
  10.52547/jstpi.20667.15.60.9
  20.1001.1.17355486.1398.15.60.1.1
  Implementing 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 More

  Implementing 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
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  8 - Presenthing Metasynthesis and Interpretive Structural Modelling Approaches in Modeling the Cloud Business Intelligence in SMEs
  Fatemeh Hamidinava َAbdolhamid Ebrahimy ROOHALLAH SAMIEE HOSSEIN Dide Khani
  10.52547/jstpi.21027.18.70.49
  20.1001.1.17355486.1401.18.70.7.8
  Tourism 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 More

  Tourism 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