Using Conjoint Analysis to Determine the Requirements of Different Users for Designing Online Solution Tools: Job Matching Platform

Abstract

Online systems first emerged as recruiting tools in the mid-1990s have grown rapidly and became a widely adopted medium by both employers and job seekers. However, despite their success, they have important drawbacks. These tools are mostly designed for matching corporate positions to certain elite employees rather than covering disadvantaged groups, SMEs and NGOs. Key features of present systems are determined by a core team of experts according to the aggregate requirements of an average target user. Designing an inclusive recruitment system requires a rigorous conceptualization phase where all stakeholders actively participate within a multidisciplinary approach with the collaboration of engineers with social. In this paper, we embraced a user-centered approach to determine the relative importance of different online recruitment tool features for diverse users and conducted conjoint analysis to determine the needs, requirements and expectations of different stakeholders, male-female job seekers and job providers from SME or MNEs, We performed requirement-based segmentation on the output from the conjoint analysis to isolate homogeneous user segments. The results demonstrated that there are significant differences between the groups and suggest that conjoint analysis can provide systematic input for process modeling to customize online tools according to the requirements of different stakeholders.