Positivist and Interpretivist Ideas of Anol Bhattacherjee on The Methods of Data Collection: A Textual Critique

Abstract

In the literature, the distinction between positivism and interpretivism based on ontological assumptions is somehow clear. Problems in dividing them based on epistemological assumptions continue to exist and appear in several works; for instance, Bhattacherjee’s book (2012) introduced the concept of research design and categorization of methods of data collection based on positivist and interpretivist epistemological assumptions. While acknowledging Bhattacherjee's contribution, nonetheless, the paper argues that since both the quantitative and qualitative research approaches share a few epistemological assumptions, strictly categorizing them into positivism and interpretivism raises some confusion. Consequently, impacting communication among researchers and the implementation of the research projects. Therefore, the paper describes Bhattacherjee's contributions and limitations in understanding the dichotomy existing between positivist and interpretivist methods of data collection. The paper's suggestions aim to resolve such confusion and restore research approaches and their methods of data collection to their original philosophical positions. Thus minimizing the existing confusion on research methodology in the current literature.