Designing a predictive analytics model to evaluate the quantitative performance of enterprise resource planning system
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

One key factor in the formation of organizational ERP systems is the requirement of integration at the organization's internal and external levels to survive in competitive markets. These systems have gained a lot of popularity not only by increasing the pace and accuracy of registering the organizational information but also by providing a quick reporting infrastructure. Registration, storing, and recovery of integrated and reliable information throughout the organization is another feature that has affected the penetration of ERP systems in organizations. However, the argument about the high cost of purchasing and implementing such systems between financial and IT departments have always been a challenge in the way of ERP expansion; Therefore, in such a case, it seems necessary to provide evidence of the efficiency or inefficiency of them in the form of an analytical model with a predictive approach and through quantitative indicators to resolve these contradictions. It should be considered that if a clear vision, accurate and quantitative information based on the performance indicators of the organization is given to the decision-makers, the disagreement in such issues will be meaningless. Now, the question is that what tool can provide such valuable information? Predictive models depict the probable future, given the current terms and variables, so that they can solve the issue around using the ERP systems. The present study has extracted the raw, reliable, and not manipulated quantitative data from the ERP system's database and has designed a quantitative predictive analytic model by them to provide clear and accurate answers to existing questions based on quantitative performance indicators. An approach that has not been seen before.

Language:
Persian
Published:
Information management, Volume:5 Issue: 2, 2020
Pages:
220 to 242
magiran.com/p2200971  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 990,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
دسترسی سراسری کاربران دانشگاه پیام نور!
اعضای هیئت علمی و دانشجویان دانشگاه پیام نور در سراسر کشور، در صورت ثبت نام با ایمیل دانشگاهی، تا پایان فروردین ماه 1403 به مقالات سایت دسترسی خواهند داشت!
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 50 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!