Management 2023 Paper II 50 marks Compulsory State

Q1

(a) State the chief characteristics of Index Numbers. (10 marks) (b) What do you mean by Information Resource Management ? State its features. (10 marks) (c) State the attributes of world class manufacturing which are aimed to fulfil the customer demands. (10 marks) (d) State the characteristics of Chi-Square Test. (10 marks) (e) State the symptoms when the value analysis is to be initiated in a company. (10 marks)

हिंदी में प्रश्न पढ़ें

(a) सूचकांकों की प्रमुख विशेषताएँ बताइए । (10 अंक) (b) सूचना संसाधन प्रबंध से आपका क्या अभिप्राय है ? इसकी विशेषताएँ बताइए । (10 अंक) (c) विश्व स्तरीय विनिर्माण के गुण बताइए जिनका लक्ष्य ग्राहक की माँग को पूर्ण करना है । (10 अंक) (d) काई-वर्ग (स्क्वायर) परीक्षण की विशेषताएँ बताइए । (10 अंक) (e) एक कंपनी में मूल्य विश्लेषण आरंभ करने के लक्षण बताइए । (10 अंक)

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Directive word: State

This question asks you to state. The directive word signals the depth of analysis expected, the structure of your answer, and the weight of evidence you must bring.

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How this answer will be evaluated

Approach

The directive 'state' demands precise, enumerated characteristics without elaborate explanation. Allocate approximately 2 minutes per mark, giving roughly 4 minutes per sub-part. Structure each part as numbered points: (a) 4-5 characteristics of index numbers; (b) definition plus 4-5 IRM features; (c) 4-5 WCM attributes for customer fulfillment; (d) 4-5 Chi-Square test characteristics; (e) 4-5 symptoms for value analysis initiation. No introduction or conclusion needed; begin directly with part (a).

Key points expected

  • (a) Index Numbers: relative measurement, specific purpose, time series comparison, averaging of variables, percentage expression, and deflation capability
  • (b) IRM: definition as strategic management of information assets; features include planning, organizing, controlling information resources, technology integration, and cost-benefit optimization
  • (c) WCM attributes: customer focus, total quality management, continuous improvement, flexibility/responsiveness, and supply chain integration
  • (d) Chi-Square Test: non-parametric nature, tests independence/goodness of fit, uses categorical data, compares observed vs expected frequencies, and degrees of freedom calculation
  • (e) Value Analysis symptoms: rising costs without quality improvement, product obsolescence, customer complaints, competitive pressure, and declining profit margins

Evaluation rubric

DimensionWeightMax marksExcellentAveragePoor
Concept correctness20%10All five sub-parts demonstrate accurate technical definitions: index numbers as specialized averages (not simple averages), IRM distinct from IT management, WCM attributes specifically linked to customer demands (not generic manufacturing), Chi-Square as test of significance for categorical data, and value analysis triggers correctly distinguished from general cost-cuttingMostly correct definitions with minor technical errors, such as conflating IRM with information systems management or describing Chi-Square as parametric testFundamental conceptual errors like treating index numbers as absolute measures, confusing value analysis with financial valuation, or misidentifying Chi-Square applications
Framework citation20%10Appropriate attribution across parts: Fisher's ideal index formula for (a); Horton's IRM framework or Marchand's information orientation for (b); Schonberger's WCM principles or Hall's competitiveness framework for (c); Pearson's chi-square development for (d); Miles' value analysis methodology for (e)Generic mention of frameworks without specific theorist names, or correct names but mismatched to conceptsNo framework citations, or invented/irrelevant attributions showing lack of disciplinary knowledge
Case / Indian example20%10Relevant Indian illustrations: CPI/IIP/WPI from MOSPI for index numbers (a); NIC or UIDAI for IRM (b); Tata Motors' Sanand plant or Maruti's lean manufacturing for WCM (c); NSSO survey applications for Chi-Square (d); ISRO's cost optimization or Indian Railways' material management for value analysis (e)Generic examples without Indian specificity, or Indian examples that don't precisely fit the conceptNo examples provided, or inappropriate examples that demonstrate misunderstanding of application contexts
Multi-perspective analysis20%10Demonstrates interconnected understanding: links index number limitations to IRM data quality needs; connects WCM customer focus to value analysis symptom identification; shows how Chi-Square validates WCM quality data; recognizes IRM enables data-driven value analysis decisionsTreats parts as isolated silos with no cross-referencing, though individual parts are competently handledContradictory statements across parts or complete failure to recognize thematic connections in management theory
Conclusion & recommendation20%10Brief synthesizing statement on integrated management approach: how statistical tools (index numbers, Chi-Square), information systems (IRM), operational excellence (WCM), and cost methodology (value analysis) form cohesive managerial decision-making framework; optional forward-looking note on Industry 4.0 integrationPerfunctory conclusion merely restating points, or missing conclusion despite 'state' directive allowing minimal closureNo conclusion, or inappropriate lengthy essay-style conclusion violating the 'state' directive's precision requirement

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