Q4
4.(a) (i) "Expert Systems play a significant role in Organisations." Discuss it giving at least four benefits of Expert Systems. 10 (ii) Elaborate the different components of Expert Systems giving suitable examples. 10 (b) (i) "Information Resource Management is a strategic plan of an organisation." Elaborate. 10 (ii) What are the important components that must be considered for implementation of Information Resource Management. 5 (c) (i) Explain the fundamental role of Information Systems in business and organisations. 5 (ii) State at least eight evaluation factors for an excellent information system. 10
हिंदी में प्रश्न पढ़ें
4.(a) (i) "संगठन में विशेषज्ञ प्रणाली महत्त्वपूर्ण भूमिका निभाते हैं।" विशेषज्ञ प्रणाली के कम से कम चार लाभ देते हुए इस कथन की विवेचना कीजिए । 10 (ii) उपयुक्त उदाहरणों द्वारा विशेषज्ञ प्रणाली के विभिन्न अवयवों का विस्तार से व्याख्या कीजिए । 10 (b) (i) "सूचना संसाधन प्रबंधन किसी संगठन की एक रणनीतिक योजना होती है।" विस्तार से व्याख्या कीजिए। 10 (ii) सूचना संसाधन प्रबंधन के कार्यान्वयन के लिए कौन से महत्वपूर्ण अवयव हैं जिन पर विचार किया जाना चाहिए ? 5 (c) (i) संगठन और व्यवसाय में सूचना प्रणाली की मौलिक भूमिका को समझाइये। 5 (ii) उत्कृष्ट सूचना प्रणाली के कम से कम आठ मूल्यांकन कारकों का उल्लेख कीजिए। 10
Directive word: Discuss
This question asks you to discuss. The directive word signals the depth of analysis expected, the structure of your answer, and the weight of evidence you must bring.
See our UPSC directive words guide for a full breakdown of how to respond to each command word.
How this answer will be evaluated
Approach
The directive 'discuss' demands a balanced treatment with elaboration and critical examination across all sub-parts. Allocate approximately 40% of effort to part (a) [20 marks] covering expert systems benefits and components with examples; 30% to part (b) [15 marks] on IRM as strategic plan and implementation components; and 30% to part (c) [15 marks] on fundamental roles of IS and evaluation factors. Structure with a brief introduction, systematic part-wise treatment, and a synthesizing conclusion linking information systems to organizational competitiveness.
Key points expected
- Part (a)(i): Four+ benefits of Expert Systems—preservation of expertise, 24/7 availability, consistency in decision-making, and training/learning support—with organizational context
- Part (a)(ii): Five components of Expert Systems—knowledge base, inference engine, user interface, explanation facility, and knowledge acquisition subsystem—each with domain-specific examples
- Part (b)(i): IRM as strategic plan—alignment with business objectives, resource optimization, competitive advantage, and governance framework
- Part (b)(ii): Implementation components—top management commitment, IT infrastructure, human resource development, change management, and performance metrics
- Part (c)(i): Fundamental roles of IS—operational efficiency, decision support, strategic management, and communication/coordination
- Part (c)(ii): Eight evaluation factors—reliability, timeliness, accuracy, completeness, relevance, usability, security, and cost-effectiveness
Evaluation rubric
| Dimension | Weight | Max marks | Excellent | Average | Poor |
|---|---|---|---|---|---|
| Concept correctness | 20% | 10 | Precise definitions of expert systems, IRM, and IS; accurate distinction between data, information, and knowledge; correct technical terminology (inference engine, forward/backward chaining, knowledge representation) across all sub-parts | Generally correct concepts with minor technical inaccuracies; conflates related terms like MIS and DSS; superficial treatment of expert system architecture | Fundamental conceptual errors; treats IRM as merely IT management; confuses expert systems with conventional software; omits core components |
| Framework citation | 20% | 10 | Cites Nolan's stages of growth model for IS maturity, Henderson-Venkatraman strategic alignment model for IRM, and Ackoff's DIKW hierarchy; references Feigenbaum for expert systems evolution | Mentions generic frameworks without elaboration; cites standard authors (Laudon, O'Brien) without specific model application | No framework citation; relies entirely on descriptive treatment without theoretical anchoring |
| Case / Indian example | 20% | 10 | Indian examples: MYCIN-style medical diagnosis systems in Indian hospitals; PRAGATI platform for governance; SBI's expert system for loan appraisal; NIC's IRM framework for e-governance; IRCTC's IS for operational management | Generic international examples (DENDRAL, XCON) without Indian adaptation; mentions Digital India without specific IS linkage | No examples or irrelevant foreign cases without organizational context; purely theoretical treatment |
| Multi-perspective analysis | 20% | 10 | Integrates technical, managerial, and strategic perspectives; examines human-AI collaboration limitations of expert systems; analyzes IRM's socio-technical dimensions; evaluates IS from user, designer, and executive viewpoints | Single-dominant perspective (either technical or managerial); limited acknowledgment of implementation challenges or ethical considerations | Unidimensional analysis; ignores organizational context; no critical examination of limitations or challenges in any sub-part |
| Conclusion & recommendation | 20% | 10 | Synthesizes expert systems and IRM as complementary pillars of knowledge management; recommends specific governance mechanisms for Indian PSUs; addresses emerging trends (AI/ML evolution, data sovereignty); forward-looking actionable insights | Summary restatement without synthesis; generic recommendations without organizational specificity; weak linkage between parts | No conclusion or abrupt ending; missing recommendations; fails to integrate across sub-parts |
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