Justifying The Judgmental Sampling Matrix Organization in Outsourcing Industry

Abstract

Sampling is the technique which helps to select portion of people from the total population. Though the percentage of the sample size is comparatively smaller than the target population, however the small numbers of respondents are representing the entire population. In general, people believe that the sampling techniques comes under probability sampling that are representative sampling and the techniques which come under non-probability techniques are not representing the total population. But conceptually the negative thought on non-probability technique is wrong and in some cases researchers have to use only the technique comes under non probability sampling such as convenience sampling, judgmental sampling and snow ball sampling due to the nature of the study being conducted by the researcher, that is the reason the non-probability technique exist in the industry and in use by the practitioners. In this paper we attempt to justify (Beyond the doubt) the sample size we choose is truly representing the ITO industry's total population and justify the reason for choosing the authoritative sampling technique as our sampling technique due to various challenges & requirements such as the industry we study and the people we interact for the research survey.

Keywords: Homogenous, heterogeneous, Matrix organization, IT outsourcing, Infrastructure technology outsourcing, Respondents, Sampling, Population, Leadership