JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV MANAGEMENT INFORMATION SYSTEMS Previous Question Paper (September - 2020 - R16)

The Information System Strategic Grid is a framework developed by McFarlan and McKenney used to evaluate the strategic impact of existing information systems and the potential impact of future applications on a firm's operations. It classifies IS applications into four quadrants based on two dimensions: the strategic impact of existing systems and the strategic impact of applications under development.

1. Support: Systems that are essential for operations but do not provide a competitive advantage (e.g., payroll, accounting).
2. Factory: Systems that are critical for current operations; failure would cause significant disruption, but they do not necessarily create new competitive advantages.
3. Turnaround: Systems currently under development that are expected to have a high strategic impact on future business performance.
4. Strategic: Systems that are critical for both current operations and future competitive success; these are core to the business strategy.

The proliferation of application packages has been driven by the need for efficiency, cost-effectiveness, and rapid deployment in modern business environments. Key reasons include:

• Cost Efficiency: Purchasing a pre-built package is significantly cheaper than custom-developing software, as development costs are shared across many customers.
• Reduced Time-to-Market: Organizations can implement ready-made solutions immediately rather than waiting for lengthy software development lifecycles.
• Access to Best Practices: Application packages often incorporate industry-standard processes and best practices, allowing firms to improve their operational efficiency without reinventing workflows.
• Scalability and Support: Vendors provide continuous updates, security patches, and technical support, shifting the maintenance burden away from the internal IT department.
• Interoperability: Many modern packages are designed to integrate seamlessly with other enterprise systems, facilitating better data flow and decision-making across the organization.
• Reduced Risk: Since the software has already been tested and deployed by other users, the risk of failure or major bugs is significantly lower compared to bespoke software development.