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Subjects

Business Studies

Management as a Science

In Class 12 Business Studies, within the chapter Nature and Significance of Management, this topic explains why management is regarded as a science. Students learn that management has a systematic and organised body of knowledge, general principles, and methods developed through observation, experience, and research. They explore how these principles support planning, organising, staffing, directing, and controlling, while understanding that management is not an exact science like physics because human behaviour and business situations vary. The topic also distinguishes management’s scientific basis from its practical application as an art.

Expert · Level 3 · 25 questions

TOPIC PRACTICE

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25 questions

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  1. Using multiple indicators makes the conclusion more reliable
  2. A fall in complaints definitely proves complete satisfaction
  3. A satisfaction survey should be conducted only when complaints increase
  4. The number of complaints has no relationship with satisfaction
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  1. Results may vary because of circumstances and human behaviour, yet management has systematic knowledge and principles
  2. Variation in results proves that management principles have no basis
  3. Systematic knowledge exists only in subjects that give identical results every time
  4. Management is based on experience, so it does not require principles
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  1. Because human response and context intervene
  2. Because cause effect relationship does not exist
  3. Because organisations have no decisions
  4. Because principles are not formed from experience
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  1. Comparative scientific testing
  2. Complete arbitrariness
  3. Only administrative order
  4. Abandonment of principles
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  1. Facts provide a base and judgement applies them in context
  2. Facts always remove judgement
  3. Judgement always ignores facts
  4. Both are unrelated to decisions
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  1. Where decision is based on data cause analysis and result measurement
  2. Where there is only order and fear
  3. Where the problem is called luck
  4. Where results are never checked
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  1. Systematic study observation experience and testing
  2. Only tradition and rumour
  3. Only personal preference
  4. Only positional authority
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  1. Because data must be understood in human context
  2. Because data is always false
  3. Because science has no data
  4. Because data cannot support decisions
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  1. Objective observation and empirical learning
  2. Selecting only expected outcomes
  3. Choosing data that supports a prior assumption
  4. Deciding without recording policy effects
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  1. Human behaviour can affect results
  2. Every result will be completely certain because of principles
  3. Controlled experiments may be limited
  4. Context can change application of principles
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  1. Decision based on baseline data
  2. Cost reduction without measurement
  3. Decision based only on personal experience
  4. Planning while ignoring customer feedback
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  1. Triangulated evidence based analysis
  2. Only guesswork
  3. Employee neglect
  4. Absence of principles
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  1. Systematic knowledge, observation, cause-effect and inexactness
  2. Arbitrariness, luck, rumour and fear
  3. Only decoration, position and salary
  4. Only art, style and personal preference
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  1. Empirical evidence
  2. Personal guess
  3. Unsystematic thought
  4. Blind belief
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  1. The same motivation plan may bring different responses in two departments
  2. Records can provide information
  3. Data can explain a problem
  4. Training can improve efficiency
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  1. Multi indicator scientific evaluation
  2. Only economic calculation
  3. Aimless measurement
  4. Ignoring human side
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  1. Bias can distort the interpretation of evidence
  2. Bias makes all managerial decisions more scientific
  3. Bias increases the accuracy of facts
  4. Bias has no effect on the reliability of conclusions
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  1. Understanding problem through measurable indicators
  2. Complete neglect of emotions
  3. Changing policy without reason
  4. Only punishing
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  1. Because it is affected by social situations and human behaviour
  2. Because it has no study
  3. Because it has no principles
  4. Because it can have no data
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  1. More reliable comparative testing
  2. Only emotional decision
  3. More arbitrariness
  4. Ignoring principles
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  1. Base for future comparison, trend analysis and learning
  2. Only increasing papers
  3. Hiding mistakes
  4. Making decisions emotional
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  1. Scientific evaluation of both quantity and quality
  2. Ignoring customer feeling
  3. Blind trust only on numbers
  4. Avoiding service improvement
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  1. Training principle is useful in many organisations but style may need change
  2. Management principles are useful nowhere
  3. Results will be exactly same in every organisation
  4. Principles apply only to one person
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  1. Careful examination of causation
  2. Hasty conclusion
  3. Emotional blame
  4. Complete inactivity
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  1. Correlation and causation should be distinguished
  2. Every statistical relationship should be treated as a direct cause
  3. More data alone proves a cause-and-effect relationship
  4. Other possible factors need not be examined when data show a relationship

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