Quantitative Methods in Moderation

Quantitative methods in moderation western scholars, such rules may play an important role in the success of an organization; but the study revealed that the level of use of quantitative methods in Asean countries is modest compared with the developed countries. Why does this happen? Various reasons put forward include: 

1 Lack of expertise 

2 The gap between theory and practice 

3 Support from top management and organizational culture 

4 Teaching and training in institutions 

1 Lack of expertise 

Quantitative methods, particularly in management science / operations research is still new in our country and the general public are still less aware of its usefulness. Furthermore no specific studies on quantitative methods in our country; what are some of the courses offered in a field of study. Overall expertise is not so crowded.

This problem is compounded when the thought that many of these experts have a job that does not use its expertise; many are having accumulated a lot of experience coming into the manager and so on; there are also a large part of the work at institutions of higher learning and research institutions. Finally, the number of experts who are working as specialists in the business world becomes very small. This situation is not confined to our country, but also in developing countries, and not least in the developed countries. 

2 The gap between theory and practice 

Many experts quantitative methods employed in the academic world in which their performance is measured through their research papers. Most of them are more akin to the theory without thinking whether they are relevant to practical work. Have an opinion ("the most valuable contribution universities That can make and one That is unique to universities is to support research and scholarship That are not subject to tests of relevance"). 

This kind of teaching methods when teaching a student about the theory of "ELECTRICITY" and the advantages and disadvantages of a stroke in the pool without getting into the pool, and expect that students know how to swim at the end of the course. It is clear that the gap between theory, application and teaching has led to slowdown the use of quantitative methods widely. 

3 Support for the management and culture organizations 

Even if one is equipped with the relevant knowledge, the use of these methods still require support and received by the top management. Often we hear the experts complain that quantitative methods work, they are not included in the study of decision-making. This may be due to many reasons; Among the study may not be relevant or do not provide necessary information, or the manufacturer kepututsan not understand or still suspect the techniques used. 

In addition, the management is still skeptical about the use of quantitative methods because most likely that these methods will show that the decision they have made in the past was the wrong decision. The first step in expanding the use of quantitative methods must be based on the philosophy of the method is not intended to identify errors person but to find ways to solve problems and improve performance. Therefore, for the success in the implementation of quantitative methods in business and management, we need a healthy cultural organization which can promote widespread usage. 

Master among other figures identify the culture organsisasi is ("a dedication shared this belief the company to problem solving based on evidence rather than opinion Armchair; the recognition That all employees, not just managers and technical specialists can CONTRIBUTE to problem solving"). 

4 Teaching and training in institutions 

The fourth problem is often referred to ("the real world is very complex"). This statement is not denied; but quantitative methods are not limited to identification of the best solution but also the formulation of a systematic problem that at the end of this process the decision makers can better understand the real problem. 

Only when we really understand the problem, then we can think about a solution. One common misconception is that adjustments to the model problem. Actually the solution in quantitative methods are identification problems first and then identify a suitable model with him and not vice versa. Related to this is the problem of lack of data organized and reliable.