A dynamic technique for conducting online survey‐based research

This paper discusses the advantages of web‐based survey technologies with direct back‐end database interfaces and analytical frameworks, and presents illustrative results from development and use of such a tool.

Abstract

Business research often requires use of survey‐based techniques for data acquisition. In the past, researchers had to rely on manual methodologies for survey distribution, data entry, and analysis. These approaches were generally characterized by uncertain (often low) response rates; batch processing of collected data; protracted time periods spanning survey distribution to processed statistical results; and inability to make “mid‐course corrections”. These deficiencies are exacerbated for research on global competitiveness issues which requires international data gathering activities; however, they can be mitigated, if not completely eliminated, by the use of dynamic web‐based survey methods. This paper discusses the advantages of web‐based survey technologies with direct back‐end database interfaces and analytical frameworks, and presents illustrative results from development and use of such a tool.