Identification of Antecedents and Outcomes of Human Resources Analytics in Iranian Customs Using Meta-Synthesis and Fuzzy Delphi Methods

babak aghavirdi ¹ ( Ph.D Candidate, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran. E-mali: [e-mail] )
Dariush Gholamzadeh ² ( Associate Professor, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran )
Vedadi Ahmad ³ ( Department of public management, IAUCTB, Tehran, IRAN )

Submited date : 2025-05-09 Accepted date : 2025-07-03

Keywords: Antecedents, Outcomes, Human Resource Analytics, Meta-Synthesis, Fuzzy Delphi.,

Abstract :

In the evolving landscape of human resources, organizations increasingly leverage Human Resource  analytics(HRA) to drive strategic decision-making. To harness this capability and integrate it into human resources management processes, identifying antecedents  and outcomes of human resources analytics implementation is critical. This study aims to identify the antecedents and outcomes of human resources analytics within the Islamic Republic of Iran Customs Administration (IRICA) using an exploratory mixed-methods(Meta-Synthesis and Fuzzy Delphi Methods) design.The qualitative phase involved 10 academic and organizational experts, while the quantitative phase included 21 experts from Islamic Republic of Iran Customs Administration and management scholars. Results derived from meta-synthesis of prior studies and fuzzy Delphi analysis revealed that:Antecedents of human resources analytics encompass 3 overarching themes: organizational factors, individual factors, and environmental factors, supported by 40 organizing sub-themes.Outcomes of human resources analytics include 3 overarching themes: organizational outcomes, human resources unit outcomes, and individual outcomes, supported by 29 organizing sub-themes. Finally, the results of the study indicate that the most important antecedent factors for conducting human resource analytics in the organization under study include the use of data analytics in decision-making, process modification and integration, the ability to interpret data and service recipients' expectations, the interaction of related organizations, and the connection of cross-sectoral technologies. The most important The most important consequential indicators of human resource analytics in Iranian Customs include increasing the level of perceived justice, improving strategic decision-making, increasing the level of employee initiatives, improving productivity, analyzing human resource scenarios and human resource practices, and personalized compensation and welfare services.

References:

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