TY - JOUR
T1 - Influence of emotional intelligence attributes on human resource management practices implementation in the Nigerian construction industry
AU - Babalola, Ifedolapo Helen
AU - Aigbavboa, Clinton Ohis
AU - Aliu, John
AU - Oke, Ayodeji Emmanuel
N1 - Publisher Copyright:
© 2023, Emerald Publishing Limited.
PY - 2023
Y1 - 2023
N2 - Purpose: The workforce upon which the construction industry relies, known as human resources (HRs), faces challenges such as poor management, inadequate implementation of human resource management practices (HRMPs) and psychosocial issues. This study aims to identify and assess the impact of emotional intelligence (EI) attributes on the implementation of HRMPs in the Nigerian construction industry (NCI) to enhance business performance as well as the performance and productivity of HRs. Design/methodology/approach: A mixed-methods research design combining qualitative and quantitative approaches was used to gather expert perspectives on specific EI attributes. Data analysis involved the use of interquartile deviation, median, standard deviation, mean, Cronbach’s alpha and exploratory factor analysis (EFA). Findings: The study identified 12 EI attributes that influenced HRMPs implementation, with 1 attribute having a very high impact (9.00–10.00) and 11 scoring high impact (7.00–8.99). Further analysis using EFA resulted in the identification of two major attribute clusters: “team relationship” and “self-management”. Practical implications: These findings have significant implications for construction professionals, HRs and policymakers, as they address the challenges faced by construction stakeholders in terms of physical and mental well-being, which can affect their emotions while carrying out construction activities. Construction organizations should consider incorporating support systems into their policies to influence HRMPs implementation in the workplace. Originality/value: The study provides valuable insights for developing nations such as Nigeria regarding the essential EI attributes for successful HRMPs implementation.
AB - Purpose: The workforce upon which the construction industry relies, known as human resources (HRs), faces challenges such as poor management, inadequate implementation of human resource management practices (HRMPs) and psychosocial issues. This study aims to identify and assess the impact of emotional intelligence (EI) attributes on the implementation of HRMPs in the Nigerian construction industry (NCI) to enhance business performance as well as the performance and productivity of HRs. Design/methodology/approach: A mixed-methods research design combining qualitative and quantitative approaches was used to gather expert perspectives on specific EI attributes. Data analysis involved the use of interquartile deviation, median, standard deviation, mean, Cronbach’s alpha and exploratory factor analysis (EFA). Findings: The study identified 12 EI attributes that influenced HRMPs implementation, with 1 attribute having a very high impact (9.00–10.00) and 11 scoring high impact (7.00–8.99). Further analysis using EFA resulted in the identification of two major attribute clusters: “team relationship” and “self-management”. Practical implications: These findings have significant implications for construction professionals, HRs and policymakers, as they address the challenges faced by construction stakeholders in terms of physical and mental well-being, which can affect their emotions while carrying out construction activities. Construction organizations should consider incorporating support systems into their policies to influence HRMPs implementation in the workplace. Originality/value: The study provides valuable insights for developing nations such as Nigeria regarding the essential EI attributes for successful HRMPs implementation.
KW - Delphi technique
KW - Effective communication
KW - Emotional intelligence
KW - Human resource management practices
KW - Nigeria construction industry
UR - http://www.scopus.com/inward/record.url?scp=85178432189&partnerID=8YFLogxK
U2 - 10.1108/JEDT-07-2023-0291
DO - 10.1108/JEDT-07-2023-0291
M3 - Article
AN - SCOPUS:85178432189
SN - 1726-0531
JO - Journal of Engineering, Design and Technology
JF - Journal of Engineering, Design and Technology
ER -