
This study aims at synthesizing available scholarly literature on the effect of digital marketing tools on the efficiency of hiring to gain a clearer insight into the role of digital marketing tools in contemporary recruitment systems. The study will work on important online recruitment tools, such as social networking platforms, online job platforms, corporate career websites, applicant tracking systems, and video interviewing systems, that are becoming part and parcel of organizational talent acquisition strategies. The main goal is to determine the role of these digital tools in performance enhancement in recruitment and operational efficiency. The systematic literature review method was used, and 30 peer-reviewed academic studies that had been developed in different organizational and geographical settings were analyzed. The results reveal that online marketing tools would go a long way in improving the efficiency of hiring since they help minimize time-to-hires, decrease recruitment budgets, reach more applicants, boost the accuracy of screening, and enhance employer branding. Automation, focused digital communication, and data-based decision-making become the essential factors of the effectiveness of recruitment. Although these benefits are present, issues like information overload, technology inequality, digital skills gaps, and ethical issues associated with online screening have continued to be apparent. Future studies ought to consider longitudinal and cross-industry studies to more clearly prove the long-term effectiveness of digital recruitment systems and come up with standardized measures of measuring hiring efficiency in different organizational settings.
Digital marketing tools, hiring efficiency, e-recruitment, recruitment marketing, social media recruitment, online job portals
Digital marketing tools, hiring efficiency, e-recruitment, recruitment marketing, social media recruitment, online job portals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
