Conceptualising and Modelling E-Recruitment Process for Enterprises through a Problem Oriented Approach.

Alamro, S., Dogan, H., Cetinkaya, D., Jiang, N. and Phalp, K. T., 2018. Conceptualising and Modelling E-Recruitment Process for Enterprises through a Problem Oriented Approach. Information, 9 (11), 269.

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DOI: 10.3390/info9110269

Abstract

Internet-led labour market has become so competitive it is forcing many organisations from different sectors to embrace e-recruitment. However, realising the value of the e-recruitment from a Requirements Engineering (RE) analysis perspective is challenging. This research was motivated by the results of a failed e-recruitment project conducted in military domain which was used as a case study. After reviewing the various challenges faced in that project through a number of related research domains, this research focused on two major problems: (1) the difficulty of scoping, representing, and systematically transforming recruitment problem knowledge towards e-recruitment solution specification; and (2) the difficulty of documenting e-recruitment best practices for reuse purposes in an enterprise recruitment environment. In this paper, a Problem-Oriented Conceptual Model (POCM) with a complementary Ontology for Recruitment Problem Definition (Onto-RPD) is proposed to contextualise the various recruitment problem viewpoints from an enterprise perspective, and to elaborate those problem viewpoints towards a comprehensive recruitment problem definition. POCM and Onto-RPD are developed incrementally using action-research conducted on three real case studies: (1) Secureland Army Enlistment; (2) British Army Regular Enlistment; and (3) UK Undergraduate Universities and Colleges Admissions Service (UCAS). They are later evaluated in a focus group study against a set of criteria. The study shows that POCM and Onto-RPD provide a strong foundation for representing and understanding the e-recruitment problems from different perspectives.

Item Type:Article
ISSN:2078-2489
Uncontrolled Keywords:enterprise recruitment; problem definition; e-recruitment
Group:Faculty of Science & Technology
ID Code:31403
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:30 Oct 2018 09:21
Last Modified:30 Oct 2018 09:21

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