EXTENDING TECHNOLOGY ACCEPTANCE MODEL TO THE E-RECRUITMENT CONTEXT

Abstract

Purpose of the research: Online recruitment especially for the job applicants are considered to be efficient strategy in today’s world. By using the sample of 317 job applicants in Karachi, this study has combined the two extensive models; Technology Acceptance Model and Signaling Theory to check that what are the main factors which attracts and influence candidates behavioral intention’s to apply online for the jobs by using E-recruitment portals of organizations. Research Method/Sampling: The nature of research is quantitative and for the collection of data secondary sources were used. The data was gathered by the job applicants through questionnaires to identify their behavioral intentions while applying for the jobs online. The sampling technique used in this research is cross sectional technique and deductive approach has been used. Statistical tools have also been applied to figure out data analysis of this research; in this regard SPSS, Regression and ANOVA have been applied. Findings of the Research: All the hypothesis were statistically proved and studied in detail narrating the integration of two main constructs of TAM; perceived ease of use and perceived usefulness with signaling theory to explain the factors which influence candidates behavioral intentions while applying online for the jobs. It has been observed through analysis that impression of organizational websites influence applicants more towards the organizations to apply for the jobs. Practical Implications of the Research: These results increased our understandings regarding the online recruitment in different context and also provide us some further understandings regarding the possible effects of features of websites which increases the applicant’s attractions towards the organizations.