Word Count 200 To 2501: Describe Three Types Of Systems Used

Word Count 200 To 2501 Describe Three Types Of Systems Used In Organi

Word count 200 to 2501 Describe Three Types Of Systems Used In Organizations. Note the factors that normally lead to adopting the system and requirements that will likely push its future growth of each type. Discuss an IT system that has transformed the way organizations in at least one field carry out work. Note what requirements drove the system to be developed and what requirements are likely to drive it to change in the future.

Paper For Above instruction

In today's dynamic organizational environment, various types of information systems play a pivotal role in enhancing efficiency, decision-making, and competitive advantage. This paper explores three prominent types of systems used in organizations: Transaction Processing Systems (TPS), Management Information Systems (MIS), and Enterprise Resource Planning (ERP) systems. It examines the factors that lead organizations to adopt these systems, their growth drivers, and the future requirements shaping their evolution. Additionally, the paper discusses a transformative IT system, specifically the Healthcare Management System, highlighting the driving requirements for its development and the future factors influencing its evolution.

Transaction Processing Systems (TPS)

Transaction Processing Systems are foundational systems that record and process daily business transactions such as sales, payments, receipts, and orders. Organizations adopt TPS primarily to ensure data accuracy, improve transaction speed, and maintain reliable records essential for operational continuity (Laudon & Laudon, 2020). Factors leading to their adoption include the need for efficiency in handling high volumes of transactions, regulatory compliance, and customer satisfaction. As businesses grow and transaction volumes increase, the demand for more robust and automated TPS rises, pushing future growth towards real-time processing capabilities, increased integration with other systems, and enhanced security measures to prevent fraud and data breaches.

Management Information Systems (MIS)

Management Information Systems facilitate decision-making by providing managers with summarized, timely, and relevant information derived from operational data. Organizations adopt MIS to improve managerial oversight, strategic planning, and performance measurement (O'Brien & Marakas, 2019). Factors driving MIS adoption include the complexity of organizational operations, the need for data-driven decision-making, and competitive pressures. Future growth of MIS will likely be driven by advancements in data analytics, artificial intelligence, and machine learning, which will enable predictive insights and more sophisticated decision-support tools. The increasing emphasis on data democratization within organizations will also foster the utilization of MIS at various managerial levels.

Enterprise Resource Planning (ERP) Systems

ERP systems integrate core business processes such as finance, human resources, supply chain, and manufacturing into a unified system to improve efficiency and information flow across departments. The adoption of ERP systems is often driven by the need for integration, standardization, and improved data accuracy across global and complex organizations (Kumar & Van Hillegom, 2015). As industries evolve digitally and globally, ERP systems are expanding to incorporate cloud computing, mobility, and IoT integration. Future growth is likely to be driven by the increased use of AI and blockchain for enhanced transparency, automation, and security in enterprise processes.

Transformative IT System: Healthcare Management System

The healthcare industry has undergone significant transformation through the adoption of Healthcare Management Systems (HMS), such as Electronic Health Records (EHRs). The development of EHR systems was driven by the requirements for streamlined patient data access, improved healthcare quality, and regulatory compliance (Hersh, 2020). These systems enhance coordination among healthcare providers, reduce errors, and facilitate data sharing. Future evolution of healthcare IT systems will be driven by the increasing need for personalized medicine, telehealth integration, and data security concerns. Additionally, advancements in AI and big data analytics are poised to enable predictive analytics for patient care, disease outbreak management, and operational efficiencies, transforming healthcare delivery further.

Conclusion

In conclusion, organizations utilize various information systems—TPS, MIS, and ERP—to meet operational, managerial, and strategic objectives. The factors driving their adoption include operational efficiency, data accuracy, managerial decision support, and process integration. Their future growth is fueled by technological advancements such as real-time processing, AI, data analytics, and cloud computing. The example of Healthcare Management Systems illustrates how IT innovations can profoundly transform industry practices, with future developments focused on personalization, automation, and enhanced security.

References

  • Hersh, W. (2020). Health care information systems: A practical approach for health care management. Routledge.
  • Kumar, S., & Van Hillegom, A. (2015). Enterprise resource planning (ERP): A review of the literature and implications for future research. Journal of Enterprise Information Management, 28(4), 456-471.
  • Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Acting Data Systems. Pearson.
  • O'Brien, J. A., & Marakas, G. M. (2019). Management Information Systems (11th ed.). McGraw-Hill Education.

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