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Artificial Intelligence is becoming an increasingly important part of everyday life and is considered a matter of course by many people. Since it can be assumed that artificial intelligence will play an increasingly central role in business in the future, this paper aims to investigate the intersection between AI and Digital Sales Technologies through a systematic literature review. This thesis identified 32 relevant articles through an extensive literature search in the databases Web of Science, ScienceDirect, and SpringerLink. Through the detailed analysis of these 32 articles, the following four topic clusters could be identified: “Application Layer, Social Layer, Challenges, and Futuristic Layer”. Based on these layers, the developed research questions were answered successfully, and the following conclusions were drawn: AI is already being used in Digital Sales Technologies in numerous ways, for instance through voice assistants like Alexa. In addition, various changes for consumers and salespeople were identified, that accompany the adoption of AI in Digital Sales Technologies. Furthermore, this thesis provides an answer to which challenges this integration brings and how AI will influence Digital Sales Technologies in the future. Finally, research gaps for future research are identified based on the collected findings from the literature review.
Employers must have the necessary tools to engage in the fight for talent, which is growing increasingly competitive. The rising competitiveness of the recruiting industry today has further driven the development of the recruitment process, resulting in the introduction of artificial intelligence (AI) techniques.
In this thesis, a literature review of current applications of AI in recruitment is conducted to better understand AI’s present strengths and limitations as well as its future potential.
In particular, this thesis attempts to clarify, from a recruitment strategy perspective, how AI can be used to improve recruitment and facilitate recruiters’ daily work, with a focus on which guidelines should be in place to achieve these goals.
The results reveal a significant gap between the promise and current reality of AI applications in human resources. However, with a few adjustments and cautious implementation, AI can indeed provide recruiters with promising solutions primarily by taking over tasks such as sourcing, screening and possibly even interviewing applicants through video screening. This has the potential to improve the quality of hiring and eliminate bias in recruitment. The thesis also finds that, at present, a fully automated process without any supervision from recruiters is unrealistic, at least in the final stages of the decision-making process, due to the ongoing and crucial need for a human touch and the currently foreseen negative cultural reaction to AI in its present limited form.