Management as a Science

The governing concept is analytical and systematic investigation of cause and effect. A fall in sales is an outcome, not necessarily a single cause. Customer segments may respond differently, a price increase may reduce demand, weak distribution may limit availability, and stronger competition may attract buyers. Examining these factors separately helps the manager identify their individual contribution and then consider how they interact. Option A is correct because it describes separating and testing possible causes rather than accepting a convenient explanation. Option B is guesswork, C attributes the result to fate, and D has no defined investigative purpose. The analysis does not guarantee perfect certainty, but it improves the quality of evidence and supports a more rational corrective decision.

The governing concept is hypothesis-based inquiry. A hypothesis is a provisional, testable statement about a possible relationship between a cause and an outcome. In option A, the manager predicts that increasing rest intervals will reduce errors, identifies a possible intervention and can collect before-and-after error data or compare suitable groups. The evidence may support, reject or modify the assumption. That makes the approach scientific even though workplace conditions cannot be controlled perfectly. Option B is arbitrary punishment, C ignores available evidence, and D abandons causal investigation. A hypothesis is not a final truth; it is a reasoned proposition that must be examined through observation and evidence before being accepted for managerial use.

The governing concept is the quality and representativeness of evidence. A sample is used to learn about a larger group, but a very small sample may reflect unusual individuals or chance variation. A biased sample, such as surveying only highly satisfied employees or one department, may systematically exclude important views. The manager should therefore consider sample size, selection method, response rate and the diversity of the population before generalising. Option A is correct because inadequate or biased evidence can produce a misleading conclusion. Option B is wrong because samples can be useful, while C repeats the error of drawing a universal rule from too little evidence. Option D is false because human behaviour varies across people and situations. Larger size alone is not sufficient, but it usually improves reliability when sampling is appropriate.

The governing concept is evidence-based managerial decision-making. A scientific decision begins with a defined issue, gathers relevant information, examines possible causes and compares evidence before reaching a conclusion. Declaring that demand will grow without market research skips these steps and treats an unsupported assumption as a fact. Option A is therefore correct: it reflects haste because there is no market evidence, customer data, trend analysis or tested forecast behind the claim. Option B supplies quantitative evidence, C supplies direct information about customer response, and D supports evaluation by comparing outcomes. Those activities may not guarantee a correct decision, but they make the process more systematic and defensible. Scientific management reduces avoidable bias; it does not rely on confidence or intuition alone.

Management has systematic principles but certainty is limited by human behaviour. In hard questions choose the social science option.

Checking multiple possible causes is scientific analysis. In management a problem should be understood through facts and causes.

Different results may be due to situation and people. Scientific approach first analyses the causes.

Both are true because social situations may change. Therefore management principles are general and flexible.

Applying in practice and observing results is a practical way of verification. In management it is possible in a limited but useful way.

Investigating causes of returns is cause-effect analysis. This shows the scientific approach of management.

The governing concept is that management satisfies important features of science but cannot control human behaviour completely. It has a systematic body of knowledge, principles that guide action, and uses observation, analysis, and evidence to understand organisational situations. However, management is a social science. Employees and groups have different motives, abilities, attitudes, and reactions, and their behaviour is influenced by changing circumstances. Therefore, scientific methods can improve understanding and decision quality, but they cannot guarantee total control or identical outcomes. Option C is the wrong explanation because it makes an absolute claim about human behaviour. A, B, and D correctly describe scientific features of management and are therefore not the answer.

Every problem may have a different situation. Scientific approach requires checking current facts and causes.

Management principles can be useful in many places but their application changes with situation. Do not treat universality as rigid uniformity.

Both are true because human behaviour can affect results. This is a major limitation of management science.

The governing concept is evidence-based managerial decision-making. A scientific approach begins with a clear problem, gathers relevant facts, analyses available information, considers possible causes, and selects an action using reason rather than fear, habit, rumour, or personal bias. The decision can then be implemented, observed, and reviewed against results. Option B is correct because the central purpose is to make decisions more objective, logical, and defensible. This approach does not mean that every management decision becomes mathematically certain; it means that the quality of reasoning and evidence improves. A represents coercion, C removes organisational purpose, and D rejects the principles that make systematic management possible.

Comparing the effect of work conditions is scientific observation. Control is limited in management but analysis remains useful.

Principles formed through experience and observation show a scientific base. Management has systematic principles.

The governing concept is that correlation or a repeated association is not automatically proof of causation. If productivity rises along with employee satisfaction, the relationship is worth investigating, but other factors may also have changed, such as training, technology, workload, incentives, leadership, seasonality, or market demand. A scientific manager should collect comparable data, examine the sequence of changes, consider alternative explanations, and test whether the relationship continues in other situations. Option C is correct because it encourages further verification rather than an absolute conclusion. A accepts a rule too quickly, B creates bias by ignoring other causes, and D destroys evidence needed for analysis. Scientific thinking is cautious, evidence-based, and open to revision.

Management has principles, concepts and a systematic body of knowledge, which supports its nature as a science. However, it deals with people whose behaviour can vary with situations, motivation and organisational conditions; therefore, management results are not fully certain like those in natural sciences. Option C is wrong because management rules do not give identical results in every situation. Exam tip: Remember that management is a social science, not an exact science.

Both are false because scientific approach is based on facts and evidence. Rumour is not verifiable evidence.

The direct answer is A: verification and result review. A new system is an intervention, and comparing cost before and after it checks whether the intervention produced a useful change. The reasoning is: record the original cost as a baseline; introduce the new system; measure cost again after a suitable period; compare the two figures while considering other factors that may have changed; then decide whether the system should be continued, modified, or rejected. Option A is correct because this is evidence-based verification followed by evaluation. Option B is wrong because a before-and-after cost comparison is not merely emotional; it uses measurable information. Option C is wrong because the experiment has a clear purpose: to assess the new system. It may need careful design, but it is not aimless. Option D is wrong because the activity actually uses a principle of testing and review; it does not show an absence of principles. A useful caution is that a simple comparison may not prove that the system alone caused the change, so other influences should also be examined. Memory cue: baseline, intervention, measurement, comparison, review.

Management has science-like features but not complete certainty. This difference is important in exams.

Generalisation means forming a broad conclusion from repeated observations and experiences. In management, one isolated event is not enough to establish a dependable principle. Managers or researchers study several organisations, situations or practices, compare the results and identify a pattern that appears repeatedly. The common pattern can then be expressed as a general management principle, while still allowing for differences in application.

For example, if many observations show that clear communication improves coordination, this repeated relationship may support a useful general conclusion. A rumour, an unsupported opinion or a conclusion made without observation cannot provide a reliable foundation. Therefore option A is correct. It reflects the inductive and systematic development of management knowledge, whereas the other choices reject evidence and careful study.

The governing concept is that management science relies on facts, systematic analysis, causal reasoning, and review of results. A scientific manager does not accept an assertion merely because it is repeated or emotionally persuasive. The manager gathers evidence, checks its reliability, compares possible explanations, chooses a reasoned action, and evaluates the outcome for future learning. Option C is correct because acting on an unverified rumour bypasses each of these steps and replaces evidence with assumption. Option A reflects investigation, B reflects evidence-based decision-making, and D reflects feedback and evaluation. Although a scientific approach cannot remove all uncertainty, it requires verification before important conclusions or actions are made.

Both are true because experience helps understand practical meaning of principles. It helps both science and art.