هوشمندی کسب و کار

List of Articles هوشمندی کسب و کار

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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
Open Access Article
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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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List of Articles هوشمندی کسب و کار