Saeid Rohan; Samaneh Amirian; Ayoub Mohammadian
Abstract
In recent years, we have observed the rapid development of social media, which has drastically transformed the way in which people communicate and obtain information. Nowadays, customers on e-commerce sites mostly rely on comments posted by customers, producers, and service providers. In this research, ...
Read More
In recent years, we have observed the rapid development of social media, which has drastically transformed the way in which people communicate and obtain information. Nowadays, customers on e-commerce sites mostly rely on comments posted by customers, producers, and service providers. In this research, in the first part the application of network mining is extracted using content analysis method in different dimensions of Political, Social, Economic and Technical (PEST). Then, in the second part, the applications used in two technical and economic sections are selected and using surveying expert opinion and statistical tests the more important applications have been identified among these applications. In the next step, to prioritize the applications using Analytic Hierarchy Process (AHP), paired comparisons were performed and by distributing pairwise comparison questionnaire data was collected and then the applications were ranked in order of priority. The results showed that in the economic dimension, the discovery of fraud, the discovery of the needs and interests of customers, and in the technical dimention improving e-commerce and identifying network traffic have the highest rank
Saeed Rouhani; Sogol Rabiee Savoji
Abstract
In today's fast-changing business environment, the need for useful business information for organizations is vital, not only for success, but for survival. Due to the disability of management information systems to meet the expectations of organizational decision makers in the competition area ...
Read More
In today's fast-changing business environment, the need for useful business information for organizations is vital, not only for success, but for survival. Due to the disability of management information systems to meet the expectations of organizational decision makers in the competition area in recent years, technologies such as Business Intelligence (BI) has become one of the most important concepts in the management of information systems and has the priority importance to support the management decision making. In this regard, it has become necessary to assess the success of such systems in organizations and there is a need to provide an assessment model in this regard. Hence, in this study, it has been tried by identifying and introducing the most important and effective factors a model for assessing the success of business intelligence (in the form of a case study) is presented. This study in terms of purpose is an applied research and in terms of method it is a descriptive survey and it is a field research. The success of business intelligent tools in the banking industry was evaluated and the results show that out of 50 factors extracted from the literature, 24 factors were identified effective for the assessment of BI tools in each area of knowledge presentation, knowledge creation, information integration and organizational memory.
