Strategic ERP [Enterprise Resource Planning] System Planning  in Alignment with Business Planning for its Improvements

Strategic ERP [Enterprise Resource Planning] System Planning in Alignment with Business Planning for its Improvements

PVL Narayana Rao

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Prof. Dr. Tapas Kumar

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Lingaya's Vidyapeeth

Strategic ERP [Enterprise Resource Planning] System Planning in Alignment with Business Planning for its Improvements

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Abstract

Enterprise resource planning (ERP) system has been one of the greatest widespread business management systems, provided that benefits of real-time abilities and whole communication for business in large organizations. However, not all ERP systems implementations have been successful. Since ERP implementation touches entire organizations such as process, people, and culture, so on. There are a number of experiments that companies may come across in implementing ERP system. Business approach is significant to all organizations . Nearly more than 500 companies are implementing Enterprise Resource Planning (ERP) systems to improve the execution of their business strategy and to improve combination with its information technology (IT) strategy. This research observes business and IT planned alignment and pursues to determine whether an ERP implementation can drive business process reengineering and business and IT strategic alignment.

References

9 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

PVL Narayana Rao. 2017. \u201cStrategic ERP [Enterprise Resource Planning] System Planning in Alignment with Business Planning for its Improvements\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C2): .

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GJCST Volume 17 Issue C2
Pg. 13- 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: J.1

Submission ReceivedDecember 16, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

August 5, 2017

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: PVL Narayana Rao, Prof. Dr. Tapas Kumar (PhD/Dr. count: 1)

View Count (all-time): 247

Total Views (Real + Logic): 6393

Total Downloads (simulated): 1730

Publish Date: 2017 08, Sat

Monthly Totals (Real + Logic):

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Total Views: 6393

Total Downloads: 1730

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