Q8
(a) The data below relates to ABC Ltd. which makes and sells laptops. [Table showing: February - Sales 8000 units, Production 12000 units; January - Sales 12000 units, Production 8000 units; Selling Price ₹120/unit; Variable production cost ₹60/unit; Fixed production overhead ₹1,50,000; Predetermined overhead absorption rate ₹10/unit; Selling, Distribution and Administration cost (all fixed) ₹75,000] You are required to present comparative profit statements for each month using : (i) Absorption costing (ii) Marginal costing (20 marks) (b) What are the primary causes of corporate distress ? Highlight the appropriate restructuring strategies that can be adopted to deal with different causes of corporate distress. (15 marks) (c) Identify key areas where Information and Communication Technology (ICT) has transformed prevailing marketing practices in the past 5 years. Justify your answer with suitable examples. (15 marks)
हिंदी में प्रश्न पढ़ें
(a) नीचे दी गयी जानकारी ABC लिमिटेड से संबंधित है जो लैपटॉप बनाते और बेचते हैं। [तालिका दिखाते हुए: फरवरी - बिक्री 8000 इकाई, उत्पादन 12000 इकाई; जनवरी - बिक्री 12000 इकाई, उत्पादन 8000 इकाई; प्रति यूनिट बिक्री मूल्य ₹120; प्रति यूनिट परिवर्तनीय उत्पादन लागत ₹60; निश्चित उत्पादन ऊपरी लागत ₹1,50,000; पूर्वनिर्धारित ऊपरी अवशोषण दर ₹10/इकाई; बिक्री, वितरण, प्रशासन लागत (सभी निश्चित) ₹75,000] निम्नलिखित का उपयोग करते हुए आपको हर महीने के लिये तुलनात्मक लाभ विवरण प्रस्तुत करना है : (i) अवशोषण की लागत (ii) सीमांत लागत (20 अंक) (b) निगमित संकट के मुख्य कारण क्या हैं ? निगमित संकट के विभिन्न कारणों से निपटने के लिये अपनायी जाने वाली उपयुक्त पुनर्गठन रणनीतियों पर प्रकाश डालें। (15 अंक) (c) प्रमुख क्षेत्रों की पहचान करें जिनमें पिछले 5 वर्षों में सूचना-संचार प्रौद्योगिकी ने प्रचलित विपणन प्रथाओं को परिवर्तित कर दिया है। अपने उत्तर को उपयुक्त उदाहरणों द्वारा उचित सिद्ध करें। (15 अंक)
Directive word: Solve
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How this answer will be evaluated
Approach
This question demands numerical problem-solving for part (a) and analytical exposition for parts (b) and (c). Allocate approximately 40% of time/words to part (a) given its 20 marks weightage, with 30% each to parts (b) and (c). Structure as: (a) clear working with comparative profit statements under both costing methods, (b) classification of distress causes with matched restructuring strategies, (c) ICT transformation areas with contemporary Indian examples. Conclude with integrated insights on how costing decisions and restructuring intersect with digital marketing realities.
Key points expected
- Part (a): Correct calculation of cost of goods sold, inventory valuation, and profit under absorption costing (fixed overhead ₹10/unit absorbed) and marginal costing (fixed overhead treated as period cost) for both January and February, showing reconciliation of profit differences due to inventory changes
- Part (a): Clear presentation showing that when production > sales (Feb), absorption costing shows higher profit; when sales > production (Jan), marginal costing shows higher profit; with inventory movement of 4000 units each month
- Part (b): Identification of primary distress causes - financial (excessive leverage, liquidity crunch), operational (inefficiency, technology obsolescence), strategic (market erosion, diversification failure), and external (regulatory, macroeconomic shocks)
- Part (b): Matching restructuring strategies - financial restructuring (debt restructuring, CDR, SDR, IBC), operational restructuring (asset divestment, process reengineering), strategic restructuring (M&A, demerger, focus strategy), and organizational restructuring (leadership change, culture transformation)
- Part (c): ICT transformation areas - data analytics and AI-driven personalization, omnichannel and phygital retail, influencer and social commerce, programmatic advertising, CRM automation, and blockchain in supply chain transparency
- Part (c): Indian examples such as JioMart's digital integration, Nykaa's beauty-tech ecosystem, Zomato's hyper-personalized recommendations, or UPI-enabled seamless payment ecosystems transforming customer journey
- Integration insight: How real-time costing data from ERP systems enables faster restructuring decisions, and how digital marketing analytics feed into marginal costing decisions for product portfolio optimization
Evaluation rubric
| Dimension | Weight | Max marks | Excellent | Average | Poor |
|---|---|---|---|---|---|
| Concept correctness | 25% | 12.5 | For (a): flawless calculations with correct treatment of fixed overhead absorption (₹10/unit), accurate inventory valuation, and proper profit reconciliation; for (b): precise distinction between financial, operational, and strategic distress with theoretically sound strategy matching; for (c): accurate identification of ICT tools and their specific marketing applications without technological confusion | For (a): minor calculation errors in overhead absorption or inventory valuation but correct methodology; for (b): correct causes but generic or mismatched strategies; for (c): lists ICT tools but weak linkage to marketing transformation | For (a): fundamental errors in costing method application or profit calculation; for (b): conflates causes and strategies or describes bankruptcy as only outcome; for (c): confuses ICT with general technology or lists outdated tools |
| Framework citation | 15% | 7.5 | Cites CIMA/ICMAI terminology for costing methods; references Altman's Z-score or OECD distress indicators; mentions Porter's value chain for operational restructuring; cites Kotler's 4P evolution to SIVA framework for digital marketing; references IBC 2016 for Indian insolvency framework | Uses standard costing terminology without explicit framework attribution; mentions generic restructuring phases; describes digital marketing shifts without theoretical anchoring | No framework awareness; confuses absorption costing with activity-based costing; describes distress without any structured classification; treats ICT transformation as purely intuitive |
| Case / Indian example | 20% | 10 | For (b): specific Indian cases like Jet Airways (operational + financial distress), Ruchi Soya (IBC resolution), or Suzlon (CDR experience) with matched strategies; for (c): detailed Indian examples like Reliance Jio's data-driven pricing, BigBasket's predictive analytics, or Lenskart's AR try-on with specific marketing outcomes | Mentions Indian companies without specific distress details or strategy application; lists ICT examples like Flipkart/Amazon without elaborating transformation mechanism | Only foreign examples (Enron, Blockbuster) for distress; generic global tech (Facebook, Google) without Indian adaptation; or no examples at all |
| Multi-perspective analysis | 20% | 10 | For (a): explains why profit differences arise and managerial implications of each method; for (b): analyzes stakeholder perspectives (creditors vs. shareholders vs. employees) in restructuring choices; for (c): evaluates both opportunities (reach, personalization) and risks (privacy, digital divide) of ICT transformation; connects all three parts on decision-usefulness of information | Describes each part in isolation without cross-linkages; one-dimensional view of restructuring as always positive; uncritical celebration of ICT transformation | Purely descriptive without analytical depth; no stakeholder consideration; ignores limitations or trade-offs in any part |
| Conclusion & recommendation | 20% | 10 | Synthesizes that costing method choice affects reported profitability and thereby restructuring timing decisions; recommends hybrid costing for internal decision-making; proposes integrated ICT-costing dashboard for real-time distress monitoring; concludes with forward-looking view on AI-driven predictive restructuring and hyper-personalized marketing convergence | Summarizes each part separately without synthesis; generic conclusion on importance of costing and restructuring; standard future outlook on digital marketing | No conclusion or abrupt ending; repeats introduction; irrelevant or contradictory recommendations |
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