مطالب مرتبط با کلیدواژه

Business Intelligence


۱.

بررسی تأثیر هوش های رقابتی و تجاری بر تجاری سازی ایده ها با تأکید بر مزیت رقابتی در دانشگاه های نسل سوم به منظور ارائه مدل(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهش در نظام های آموزشی دوره ۱۲ بهار ۱۳۹۷ ویژه نامه بهار 361 - 378

کلیدواژه‌ها: Competitive Intelligence Business Intelligence Commercialization Competitive advantage Third Generation Universities (Entrepreneur)

حوزه‌های تخصصی:
تعداد بازدید : ۴۲۸ تعداد دانلود : ۶۹۸
این پژوهش با هدف ارائه مدل جهت تبیین تأثیر هوش های رقابتی و تجاری بر تجاری سازی ایده ها با تأکید بر مزیت رقابتی در دانشگاه های نسل سوم انجام شده است. پژوهش حاضر باهدف کاربردی و با رویکرد ترکیبی (آمیخته) با طرح اکتشافی انجام شد.جامعه آماری در بخش کیفی اعضای هیئت علمی دانشگاه بودند که با روش نمونه گیری هدفمند و با توجه به قانون اشباع 18 نفر انتخاب شدند. جامعه آماری در بخش کمی اعضای هیئت علمی رسمی و مدرسین مدعو(غیررسمی) دانشگاه در شهر مشهد شامل 2572 نفر بودند که با استفاده از فرمول کوکران و روش نمونه گیری طبقه ای تعداد 335 نفر از آن ها به عنوان حجم نمونه در نظر گرفته شدند.ابزار گردآوری داده ها در بخش کیفی مصاحبه های نیمه ساختاریافته بود که برای حصول اطمینان از روایی بخش کیفی و به منظور اطمینان خاطر از دقیق بودن یافته ها از دیدگاه پژوهشگر، از نظرات اساتید و خبرگان آشنا با این حوزه و متخصصان دانشگاهی علی الخصوص در حوزه کارآفرینی استفاده شد. در بخش کمی نیز به منظور گرداوری داده ها از 4 پرسشنامه استفاده شد.برای محاسبه روایی پرسشنامه ها از روایی محتوا و سازه استفاده شد. روایی محتوایی پرسشنامه ها توسط خبرگان دانشگاه مورد تائید قرار گرفت. برای بررسی روایی سازه، از دو معیار روایی همگرا و واگرا استفاده شد. نتایج به دست آمده از بارهای عاملی گویه های هر عامل نشان داد، کلیه گویه ها دارای بار عاملی بیش از 4/0 و میانگین واریانس استخراج شده، بالای 5/4 بودند، شرط AVE> 5/0 برای همه متغیرها برقرار است لذا روایی همگرا این متغیرها تائید شد. علاوه بر این، مقادیر جذر میانگین واریانس استخراج شده بیشترین مقدار را نشان می داد که بیانگر وجود روایی واگرا در بین متغیرهای پژوهش بود. پایایی و پایایی ترکیبی پرسشنامه ها بزرگ تر از 5/0 را نشان داد. برای تجزیه وتحلیل داده های بخش کیفی از تحلیل محتوا برای همه متغیرها با مقادیر بالای 7/0 استفاده شد، جهت تجزیه وتحلیل داده ها در بخش آمار توصیفی از جداول فراوانی و درصد فراوانی، میانگین و انحراف استاندارد و در بخش آمار استنباطی، از آزمون کولموگروف-اسمیرنوف، آزمون های t تک نمونه ای و مستقل، تحلیل عاملی اکتشافی و آزمون معادلات ساختاری استفاده شد و با استفاده از نرم افزار SPSS و Smart Pls تحلیل شد. نتایج نشان داد که: همه ابعاد و مؤلفه های متغیرها دارای بار عاملی بالای 5/0 هستند. همچنین نتایج حاصل از تحلیل عامل تأییدی نشان داد که هوش رقابتی با ضریب تأثیر 897/0، هوش تجاری با ضریب تأثیر 649/0 بر دانشگاه کارآفرین تأثیر مثبت و معناداری دارند ولی مزیت رقابتی با ضریب تأثیر 196/0 تأثیری ندارد مدل ارائه شده با برآورد برازش کلی GOF دارای برازش مناسب است و مؤلفه های حاصل در این پژوهش برای هوش رقابتی در بعد زمینه(آگاهی و دانش و اطلاعات داخلی ،زیرساخت و فناوری) و در بعد فرایند(جمع آوری، نگهداری و توسعه اطلاعات،برنامه ریزی و تمرکز)و برای هوش تجاری مؤلفه های قابلیت های تحلیلی ،کیفیت محتوای اطلاعات،استفاده از اطلاعات در فرآیند تصمیم گیری،فرهنگ تصمیم گیری تحلیلی و مؤلفه های شایستگی های منحصربه فرد و قابلیت حفظ و نگهداری در متغیر مزیت رقابتی تائید گردید.در متغیر دانشگاه کارآفرین 7 مؤلفه حاکمیت و اداره دانشگاه،ساختار و طرح سازمانی، قدرت نفوذ، مدیریت ذینفعان و ارزش های جامعه، مرکز رشد و تجاری سازی، بین المللی سازی ، حمایت و آموزش کارآفرینانه سرمایه گذاری تائید گردید.
۲.

Analysis of Gas Sales Receivables in the National Iranian Gas Company with an Emphasis on the Optimization of Receivable's Liquidation Methods(مقاله علمی وزارت علوم)

نویسنده:
منبع: Petroleum Business Review (PBR), Volume ۲, Issue ۴ - Serial Number ۵, Autumn ۲۰۱۸ 26 - 40

کلیدواژه‌ها: Liquidity Accounts Receivable Business Intelligence Factoring National Iranian Gas Company

حوزه‌های تخصصی:
تعداد بازدید : ۲۱۱ تعداد دانلود : ۱۹۹
Designation of incentive mechanisms to increase the speed of liquidity of receivables is one of the leading options for streamlining domestic resources in the field of oil and gas industry financing. The main objective of this research is to investigate and optimize the liquidity methods of gas sales receivables in line with the requirements of the National Iranian Gas Company. After a deep review of literature, we extract methods and legal platforms for receivables liquidation methods. The current research is an applied and descriptive-analytical research in terms of its purpose and methodology. The data analysis is a combination of quantitative and qualitative methods and required data for this study including the amounts and duration of deferred receivables by different categories of subscribers of the NIGC during 2012 to 2018. Subsequently, in order to visualize the data in the form of heat tables, Microsoft's Business Intelligence software is applied to understand the process of creating and settlement of receivables, cluster receivables by the different categories of subscription and, finally, reveal the subscriber behavior patterns in disbursements. Finally, using theoretical foundations and experts' opinions, a set of optimal methods has been recommended to accelerate the process of collecting current receivables, depending on the behavior of different groups of subscribers. Based on the results of the interviews, NIGC should apply IT-based methods, incentive policies and deterrent (punitive) strategies to accelerate the liquidation of receivables in household and commercial subscription.
۳.

Business Intelligence Technology in Research Organizations (Case Study of Academic Institutes in Tehran)(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of System Management, Volume ۶, Issue ۴, Winter ۲۰۲۰ 69 - 101

کلیدواژه‌ها: Business Intelligence Research Organizations technology acceptance Information technology Organizational Information Systems

حوزه‌های تخصصی:
تعداد بازدید : ۳۵۶ تعداد دانلود : ۲۱۷
Business Intelligence (BI) covers the tasks of collecting, processing, and analyzing large volumes of data. This includes internal systems and external resources, utilizing advanced high-speed analytics and forecasting tools enabling organizations to achieve organizational goals in a timely manner affording immediate decision-making. The main purpose of BI is to help companies improve their performance in the turbulent environment of business and enhance their competitive advantage in this immense data age. Research organizations need integrated information technologies such as business intelligence, perhaps more so than commercial companies need, given the highly competitive environment and increasing progress of various disciplines. The development of such a system, like other organizational information systems, requires the adoption of technology by its users. Various models, including behavioral models, have identified the acceptance factors of information technologies. The purpose of this study is the Interpretive Structural Modeling of factors affecting the adoption of business intelligence technology in research organizations. ISM is a systematic and interpretive process as it is formed based on group judgment and is structured and complemented by common relationships, and finally, depicts the overall structure of several complex elements in a graph model. The sample used in this study was experts of academic research institutes in Tehran. According to the findings, 20 main acceptance factors were modeled in four levels based on interactions between the categories of individual, organizational, and technological criteria.
۴.

Critical Success Factors for Business Intelligence Implementation in an Enterprise Resource Planning System Environment Using DEMATEL: A Case Study at a Cement Manufacture Company in Indonesia(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۲, Issue ۱, ۲۰۲۰ 67 - 85

کلیدواژه‌ها: Business Intelligence critical success factor DEMATEL

حوزه‌های تخصصی:
تعداد بازدید : ۲۱۸ تعداد دانلود : ۲۹۳
This paper is aimed at evaluating critical success factors in Business Intelligence (BI) implementation in an Enterprise Resource Planning (ERP) environment. The data analysis method used in this paper is the Decision Making Trial and Evaluation Laboratory Model (DEMATEL). The study has been conducted on a cement manufacturing strategic holding company that has implemented ERP since 2010. This research is done through literature review and interviews with the head of the BI development team as the expert for this research, before distributing questionnaires to Information and Communication Technologies (ICT) Team and BI stakeholders. The questionnaire has been addressed to 18 respondents consisting of the BI development team and stakeholders, which include the Strategic Planning Division, Business Development Division, Transformation Management Division, and Accounting Division. There are 13 factors evaluated, consisting of 4 factors related to the organization, four factors related to the development process, three factors related to the technology, and two factors associated with the external environment. The most critical factor for organizational criteria is Top management support. The most important factor for process criteria is Effective project management. The most important factor for technology criteria is System reliability, flexibility, and scalability. The most important factor for environment criteria is the selection of a vendor.
۵.

Optimizing OLAP Cube for Supporting Business Intelligence and Forecasting in Banking Sector(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۳, Issue ۱, ۲۰۲۱ 81 - 99

کلیدواژه‌ها: On-Line Analytical Processing Business Intelligence Business Forecasting Data Warehouse Decision Making

حوزه‌های تخصصی:
تعداد بازدید : ۳۸۱ تعداد دانلود : ۱۶۱
The data stored in data warehouse is used for making strategic decisions by integrating heterogeneous data from multiple sources at a single storage place, where data is used for querying and analysis purposes. With the advancement in the technology, Business Analytics and Business intelligence are being increasingly used in the financial sector for forecasting business decisions. Many On-Line Analytical Processing (OLAP) tools are being largely explored that can contribute to business decision making. Banking operation handles a lot of data as they operate daily. Subsequently, preparing of this tremendous volume of information requires instant and quick tools that can process the information at high processing speeds. Through this research paper, we represent the OLAP cube as one of the tools which can be used for business analysis. A case study of a bank and loan approval process is considered as one of the areas for implementation and analysis of business decisions using business intelligence which can serve as a key factor for increasing intelligence in the banking sector to make reliable business decisions. Higher management can forecast and predict various outcomes from the bank data warehouse using On-Line Analytical Processing technology which provided a multidimensional view of the data. Analysts can make business decisions by analyzing the reports and pattern trends in the graphs. Management can modify existing policies and procedures to increase the growth of the bank and can have a healthy competition with their competitors.
۶.

Investigating factors affecting the speed of internationalization with the mediating role of organizational agility in Pharmaceutical SME Companies of Alborz Province(مقاله علمی وزارت علوم)

نویسنده:
منبع: مدیریت تبلیغات و فروش دوره ۳ زمستان ۱۴۰۱ شماره ۴ (پیاپی ۱۲) 17 - 39

کلیدواژه‌ها: Business Intelligence Foreign Market Knowledge Entrepreneurial characteristics organizational agility Internationalization Speed

حوزه‌های تخصصی:
تعداد بازدید : ۱۶۱ تعداد دانلود : ۱۵۰
The purpose of this study was to investigate the effect of business intelligence, foreign market knowledge and entrepreneurial characteristics on the speed of internationalization with the mediating role of organizational agility in SME pharmaceutical companies in Alborz province. The statistical population of this research was formed by those who hold a position and responsibility in SME pharmaceutical companies. In fact, they are decision makers. Therefore, it is possible to consider those who are part of the managerial positions, assistants, supervisors, senior decision makers, board members, and experts of different departments of SME pharmaceutical companies of Alborz province as members involved in the statistical population. did In this research, Klein's approach was used to determine the sample size. He believes that 10 or 20 samples are necessary for each variable. Considering the presence of 8 variables in the research, the sample size is estimated to be 20 times that is 160 samples. Non-probability sampling method was used. A researcher-made questionnaire was used to collect data and its Cronbach's alpha coefficient was 0.950, which indicates the reliability of the research tool. Also, the KMO test was confirmed in the validity of the research instrument construct. Smart PLS software was used to analyze the data and test the research hypotheses. The research findings out of the ten mentioned hypotheses show the confirmation of seven hypotheses and the rejection of three hypotheses. The foreign market knowledge construct did not show any positive and significant relationship with organizational agility structures and the speed of internationalization and also its mediating role was not confirmed. But other structures, namely business intelligence and entrepreneurial characteristics, showed a significant and positive relationship with organizational agility and the speed of internationalization, both directly and indirectly through the mediating role of organizational agility.