Presenting an Efficient Adaptive Model Based on Employee Behavioral Intelligence (Case Study: Customs Administration and Tax Administration of Hormozgan Province)

Mohammad Ali  Sadeghi; Abbas  Babaeinejad; Reza  Zeinalzadeh; Mohammadmehdi  Bagheri

doi:10.61838/

Authors

Mohammad Ali Sadeghi PhD student in comparative public administration and development, Department of Management, Kerman Branch, Islamic Azad University, Kerman, Iran. Author https://orcid.org/0000-0003-3574-9620
Abbas Babaeinejad Assistant Professor, Department of Management, Islamic Azad University, Kerman Branch, Kerman, Iran Corresponding Author https://orcid.org/0000-0003-3090-7589
Reza Zeinalzadeh Assistant Professor, Department of Management, Islamic Azad University, Kerman Branch, Kerman, Iran Author https://orcid.org/0000-0002-9859-7305
Mohammadmehdi Bagheri Assistant Professor, Department of Management, Islamic Azad University, Kerman Branch, Kerman, Iran. Author https://orcid.org/0000-0002-4740-0285

DOI:

https://doi.org/10.61838/

Keywords:

Behavioral Intelligence, Employee Performance, Organizational Outcomes, Intrapersonal Intelligence, Interpersonal Intelligence, Stress Management, Adaptability, General Mood, Customs Administration, Tax Administration

Abstract

Objective: This study aims to present an efficient adaptive model based on employee behavioral intelligence, specifically within the Customs Administration and Tax Administration of Hormozgan Province. The focus is on understanding the impact of various dimensions of behavioral intelligence, including intrapersonal, interpersonal, stress management, adaptability, and general mood intelligence, on employee performance and organizational outcomes.

Methodology:

A qualitative research design was employed, utilizing semi-structured interviews to collect data from 22 employees of the Customs Administration and Tax Administration of Hormozgan Province. Participants were selected through purposive sampling to ensure rich and relevant data. The interviews were transcribed and analyzed using NVivo software, which facilitated the identification of key themes and patterns. Theoretical saturation was achieved, ensuring the comprehensiveness of the data collected.

Findings: The study identified several key dimensions of behavioral intelligence that significantly impact employee performance. Intrapersonal intelligence, including self-awareness, assertiveness, self-esteem, self-actualization, and independence, was found to be crucial for personal and professional growth. Interpersonal intelligence, encompassing empathy, responsibility, and effective interpersonal relationships, was essential for teamwork and collaboration. Stress management intelligence, including stress tolerance and impulse control, enabled employees to handle workplace pressures effectively. Adaptability intelligence, involving problem-solving, reality testing, and flexibility, was vital for navigating dynamic work environments. General mood intelligence, characterized by optimism and happiness, was linked to higher job satisfaction and productivity.

Conclusion: The findings highlight the critical role of behavioral intelligence in enhancing employee performance and organizational outcomes. By understanding and developing various dimensions of behavioral intelligence, organizations can create a more supportive, adaptive, and productive work environment. The study provides valuable insights for both researchers and practitioners, emphasizing the importance of comprehensive training programs and a positive organizational culture.