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Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software (Paperback) Loot Price: R5,151
Discovery Miles 51 510
Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software (Paperback): Geoffrey Muchiri Muketha, Elyjoy...

Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software (Paperback)

Geoffrey Muchiri Muketha, Elyjoy Muthoni Micheni

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Loot Price R5,151 Discovery Miles 51 510 | Repayment Terms: R483 pm x 12*

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Enterprise resource planning (ERP) is a class of integrated software that uses software technologies to implement real-time management of business processes in an organization. ERPs normally cut across organizations, making them large and complex. Software researchers have for many years established that complexity affects software quality negatively and must therefore be controlled with novel metrics and models of evaluation that can determine when the software is at acceptable levels of quality and when not. Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software is a critical scholarly publication that examines ERP development, performance, and challenges in business settings to help improve decision making in organizations that have embraced ERPs, improve the efficiency and effectiveness of their activities, and improve their return on investments (ROI). Highlighting a wide range of topics such as data mining, higher education, and security, this book is essential for professionals, software developers, researchers, academicians, and security professionals.

General

Imprint: Business Science Reference
Country of origin: United States
Release date: May 2019
Editors: Geoffrey Muchiri Muketha • Elyjoy Muthoni Micheni
Dimensions: 254 x 178 x 22mm (L x W x T)
Format: Paperback
Pages: 416
ISBN-13: 978-1-79980-236-5
Categories: Books > Business & Economics > Business & management > Business strategy
Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
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LSN: 1-79980-236-1
Barcode: 9781799802365

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