Research Report ID : sjrbm.2026.18 | Open Access

The Role of Emotional Intelligence in Police Departments: Policy Reforms for Organizational Efficiency and Economic Stability
keren Millet , Dr shweta Oza , Dr Kerav Pandya
Submission Date : April 08, 2026 Publication Date : June 29, 2026
This research explores how Emotional Intelligence (EI) shapes both the operational performance and financial sustainability of police institutions, drawing primarily on evidence from the Gujarat Police Force in India. The study is anchored theoretically in Goleman's[12]  mixed-model EI framework and Conservation of Resources (COR) Theory as articulated by Hobfoll[15] , positioning EI as a vital human resource management (HRM) tool capable of driving lasting institutional gains. A structured, cross-sectional survey was administered to 384 police officers drawn proportionally from three career levels, using a pre-validated Likert-scale instrument. Constructs pertaining to emotional intelligence, policy reform orientation, organizational performance, and financial sustainability were evaluated through a two-phase statistical approach: SPSS (v.26) was used for reliability coefficients (Cronbach's Alpha), exploratory factor analysis, and descriptive measures; AMOS (v.24) was employed for Structural Equation Modelling (SEM), including confirmatory factor analysis (CFA), moderation testing, and bootstrapped mediation analysis.
Findings reveal that EI meaningfully boosts organizational efficiency (β = 0.746, p < 0.001) and financial stability (β = 0.803, p < 0.001). Policy reform orientation functioned as a statistically meaningful moderator in the EI–efficiency relationship (β = 0.128, p = 0.002), while organizational efficiency was validated as a partial mediator connecting EI to economic outcomes. A notable strength of this study is the near-equal gender composition of the sample (49.7% male, 50.3% female)—a comparatively rare characteristic in Indian policing research that enhances the gender-comparative validity of the findings. These results offer theoretically grounded, empirically supported evidence that deliberately cultivating EI through adaptive HRM and reform-oriented policy frameworks can help build more resilient and economically sustainable police organizations.
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Among the world's most mentally demanding careers, policing stands out for the relentless psychological pressures it places on its practitioners[4] . Daily, officers face life-or-death situations, manage criminal conduct, navigate civil tensions, and handle complex interpersonal disputes—circumstances that simultaneously require emotional composure, sound judgment, and professional discipline[8] . It is within this demanding occupational landscape that Emotional Intelligence (EI)—broadly understood as one's ability to recognize, interpret, and regulate emotions in oneself and others—has gained increasing attention as a meaningful predictor of job performance, mental well-being, and institutional cohesion[12] [20] .
While the research on EI's relevance to policing has expanded considerably, a macro-level, integrated perspective remains comparatively rare. Most prior studies have concentrated narrowly on individual-level benefits—stress relief, personal satisfaction, and interpersonal effectiveness—without examining how these translate into organization-wide efficiency or long-term financial sustainability in law enforcement settings[17] . Additionally, the extent to which institutional policy reforms shape the EI–efficiency relationship, and the pathway through which EI feeds into economic outcomes, remain theoretically underexplored.
This study takes a different approach by examining EI through the lens of Strategic Human Resource Management, treating emotionally intelligent behaviors as deployable organizational resources consistent with Hobfoll's COR Theory[15] . Rather than viewing EI merely as a personal psychological attribute, this research proposes that it functions as a strategic HRM lever—one whose broader institutional effects depend significantly on the character of existing policy structures. To test this, the study uses data from 384 Gujarat police officers spanning three hierarchical ranks and employs a comprehensive SEM methodology. The contributions of this work are fourfold: it offers large-sample, cross-rank evidence of EI's organizational and economic effects; it establishes policy reform orientation as a meaningful institutional moderator; it demonstrates organizational efficiency as a linking mechanism between EI and economic outcomes; and it provides actionable guidance for police leadership, HRM policy design, and governance.
Organization of the Study
The Literature Review and Theoretical Framework offer an integrated review of the literature and lays out the theoretical foundations of this study. Research Methodology details the research methodology, covering sampling strategy, instrument design, and statistical procedures. Results and Discussion present findings and an in-depth interpretive discussion. Conclusion, Implications, and Future Directions conclude with implications for practice, limitations of the present work, and suggestions for future inquiry.
 
  • To examine the direct effect of Emotional Intelligence on organizational efficiency within police departments.
  • To analyse the relationship between Emotional Intelligence and economic stability in police departments.
  • To assess the moderating role of policy reforms on the EI–organizational efficiency relationship.
  • To develop and validate a structural model linking Emotional Intelligence, policy reforms, organizational efficiency, and economic stability.
Building on the theoretical and empirical groundwork developed in Literature Review and Theoretical Framework, the following directional hypotheses are advanced:

H1 Emotional Intelligence will have a significant positive direct effect on Organizational Efficiency within police departments[1]  [17] [11] [15] .
H2 Emotional Intelligence will have a significant positive direct effect on Economic Stability within police departments.[21] [3] [36]
H3 Policy Reforms will positively moderate the relationship between Emotional Intelligence and Organizational Efficiency, such that the positive effect of EI on efficiency will be stronger when policy reform scores are higher.[34] [3] [36]
H4 Organizational Efficiency will partially mediate the relationship between Emotional Intelligence and Economic Stability, such that EI influences economic stability both directly and indirectly through its effect on organizational efficiency.[15]
Research Design and Philosophical Positioning
This research adopts a quantitative, cross-sectional survey design situated within a post-positivist epistemological framework. Post-positivism acknowledges the inherent limitations of measurement while affirming that systematic, rigorous inquiry can yield reliable and meaningful approximations of empirical reality[6] . The cross-sectional design was chosen to permit simultaneous examination of multiple constructs across a large, diverse sample—aligning with the analytical demands of SEM-based research.

Population and Sampling
The study population consisted of active-duty officers of the Gujarat Police Force, India. A stratified random sampling strategy was applied to ensure proportional coverage across three career levels: Constables, Sub-Inspectors (SI), and Inspectors. This approach was adopted to reduce selection bias and strengthen the external validity of findings across the organizational hierarchy[32] .
Sample size was calculated[5]  using Cochran's formula, yielding a minimum required sample of 384 at a 95% confidence level and a ±5% margin of error—consistent with established conventions for SEM-based research requiring at least 5–10 respondents per measured indicator[14] . Officers were required to have completed at least one year of active service to ensure adequate familiarity with the operational and interpersonal demands being assessed.

Instrumentation
A structured questionnaire employing Likert-scale items (ranging from 1 = Strongly Disagree to 5 = Strongly Agree) was used to gather data across four constructs. Items were adapted from established and validated instruments in the literature:

  • Emotional Intelligence: Derived from Schutte et al.'s (1998) Self-Report EI Test (SREIT)[33]  and Goleman's (1995) EI competency framework, encompassing self-awareness, self-management, social awareness, and relationship management[12] .
  • Organizational Efficiency: Adapted from Quinn and Rohrbaugh's (1983) Competing Values Framework, operationalized within the specific demands of policing[28] .
  • Economic Stability: Measured through items addressing resource utilization, absenteeism management, operational cost efficiency, and adherence to budgetary parameters.
  • Policy Reforms: Items captured officers' perceptions of how responsive, flexible, inclusive, and innovation-oriented their institutional policies were.

The questionnaire was distributed via email, Google Forms, and institutional digital channels to maximize response accessibility. A pilot test involving 30 officers was conducted prior to full deployment, and minor item revisions were made based on feedback.

Common Method Bias
Given the single-source, self-report nature of the data, both procedural and statistical remedies were applied to address the risk of common method bias[25] . Procedurally, the survey incorporated reverse-coded items, temporal separation of related constructs, and guaranteed participant anonymity. Statistically, Harman's single-factor test was used, revealing that the largest unrotated factor accounted for only 28.4% of total variance—substantially below the 50% threshold typically used to identify CMB as a serious concern.

Data Analysis Procedures
Analysis proceeded through two sequential phases:

  • Phase 1 — Reliability and Validity Assessment (SPSS v.26): This phase encompassed descriptive statistics, Cronbach's Alpha coefficients for internal consistency, Exploratory Factor Analysis (EFA) for construct refinement, and Average Variance Extracted (AVE) calculations for convergent validity assessment.
  • Phase 2 — Structural Equation Modelling (AMOS v.24): This phase involved Confirmatory Factor Analysis (CFA) to verify the measurement model; path analysis to test direct hypotheses; standardized product interaction terms for moderation analysis (H3); and bootstrapped indirect effects (5,000 resamples, 95% CI) for mediation analysis (H4). Model fit was assessed using CFI, TLI, RMSEA, and SRMR against established benchmarks[16] .

Ethical Considerations
Ethical clearance was secured from the institutional review board prior to data collection. All participants provided informed consent, and participation remained entirely voluntary. No personally identifiable information was collected, and all respondents were assured of complete anonymity and the confidentiality of their responses.
 
Theoretical Framework

Goleman's Mixed-Model of Emotional Intelligence
The conceptual backbone of this research is Goleman's mixed-model framework[12] , which organizes EI around four interrelated competency clusters: the ability to recognize one's own emotional states (self-awareness), the capacity to control those states effectively (self-management), sensitivity to others' emotions and organizational dynamics (social awareness), and the skill to handle interpersonal relationships productively (relationship management). Where ability-based models such as that proposed by Mayer and Salovey focus primarily on cognitive-emotional processing[20] , Goleman's approach deliberately incorporates dispositional and motivational qualities—making it especially well-suited for applied, organizational contexts. In law enforcement, where officers must manage both their own inner responses and complex external social dynamics simultaneously, the multi-dimensional character of Goleman's model provides particularly strong explanatory power[17] Error! Reference source not found..

Conservation of Resources Theory
Complementing the EI framework at a macro-theoretical level, Hobfoll's Conservation of Resources (COR) [15]  Theory provides a structural foundation for understanding how individuals manage psychological strain. COR Theory asserts that people are fundamentally driven to build, protect, and sustain resources they value—including psychological competencies—and that the erosion of such resources is the primary mechanism underlying occupational stress and performance decline. Applied to policing, EI constitutes a crucial psychological reserve that enables officers to absorb the pressures of high-stakes work without significant deterioration in functioning. Institutionally, this perspective suggests that EI is not simply a personal asset but a collective organizational resource that HRM systems must actively cultivate and protect through supportive policy environments. In simple terms, EI functions like a battery: good, reform-oriented policies help recharge it, while high stress and unsupportive institutional environments drain it.

EI as an HRM Strategic Asset
Situating EI within the broader Strategic HRM literature[3] [36] allows this study to move beyond individual-level analysis and engage with organizational-level dynamics. Strategic HRM theory [3] [33] holds that when human capital is systematically developed and aligned with organizational goals, it can generate sustained performance advantages. In police institutions, this logic translates practically into formal EI training, leadership development initiatives grounded in emotional competencies, and organizational cultures that reward adaptive interpersonal behavior. By examining how policy reforms condition EI's impact on institutional outcomes, this study treats policy architecture as a critical HRM boundary condition—one that determines how fully EI's potential can be realized within the organization.
Empirical Review
A substantial body of evidence confirms that policing ranks among the world's most psychologically demanding occupations[30] . The following sub-sections synthesize findings across four thematic streams directly relevant to this research.

EI and Individual-Level Outcomes in Policing
Research conducted by Sabarwal and Sharma with 100 constables in the Jammu region identified a meaningful positive association between EI and job satisfaction, with notable gender-based variation in EI profiles[30] . In a systematic review, by Eason highlighted EI's broad benefits across trust-building, interpersonal communication, stress buffering, and cross-agency collaboration[25] . McCutcheon, using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), found that officers with stronger EI reported substantially lower levels of organizational stress—pointing to EI's protective function in demanding work environments[21]
Garg studied 114 officers in Chhattisgarh and confirmed through regression analysis that EI was a reliable predictor of both job performance and personal work satisfaction[11] Error! Reference source not found.. Dar reported positive links between emotional intelligence and psychological well-being among police personnel in Jammu and Kashmir[7] . Similarly, Papazoglou and Andersen highlighted how resilience-oriented police training can strengthen emotional regulation and psychological well-being, thereby supporting officers' capacity to manage occupational stress effectively[25] .

EI and Organizational/Team Dynamics
Al Ali drew on a sample of 310 police officers to show that EI contributed meaningfully to predicting work performance even after accounting for general cognitive ability and personality—establishing its distinct organizational utility[1] . Magny found that officers with higher EI were more effective collaborators and communicators, contributing to stronger and more cohesive workplace environments[18] . Kidwai identified EI as a meaningful predictor of leadership capability and team effectiveness within the Indian police context[17] .
White and Schafer, surveying 304 officers, found that EI predicted a stronger sense of workgroup fit—particularly among those holding more senior positions[35] . Pūraitė and Prokofjeva similarly argued that EI represents a foundational competency for effective police leadership in culturally diverse, globalized contexts[27] .

EI Training and Resilience
Romosiou evaluated a four-hour group training intervention targeting EI, empathy, resilience, and stress management in police officers. The results showed statistically significant gains across all measured dimensions compared to control participants, with improvements persisting beyond the immediate post-intervention period—providing strong evidence that EI is developable rather than fixed[30] . McDowall examined graduate probationer officers and found that specific EI competencies, particularly those related to influence and decisiveness, represented areas where structured training could meaningfully improve performance[22] .

EI, Policy Reforms, and Institutional Outcomes
Drawing on survey data from 731 FBI National Academy police leaders, White demonstrated that both EI and cultural intelligence were meaningfully associated with greater receptivity to police reform—suggesting that emotionally skilled leaders are more adaptive to institutional change[34] . Aremu found that EI moderated corruption-related attitudes in the Nigerian Police, introducing a systemic and policy-relevant dimension to individual emotional competencies[2] . Millet reported that emotional resilience and a sense of professional duty jointly predicted morale and psychological well-being in Gujarat officers, reinforcing the significance of both individual and institutional emotional resources[23] .

Research Gap and Study Contribution
Despite the rich body of evidence outlined above, four significant gaps persist in the existing policing-EI scholarship:

  • A majority of prior studies are geographically constrained, limited in sample scale, or focused solely on individual-level outcomes—restricting how broadly their findings can be applied.
  • No existing study has simultaneously investigated the moderating function of institutional policy reform and the mediating role of organizational efficiency within a unified structural framework.
  • Theoretical integration of EI within Strategic HRM and COR frameworks remains comparatively underdeveloped, particularly in South Asian policing research.
  • Empirical inquiry into EI's downstream effects on economic stability and resource utilization within police organizations remains notably scarce.

The present study addresses each of these gaps through a large-sample, theoretically grounded SEM investigation of the Gujarat Police Force.
 
H1: Emotional Intelligence and Organizational Efficiency
The acceptance of H1 (β = 0.746, p < 0.001) establishes EI as a statistically robust and practically meaningful driver of organizational efficiency within the policing context. These results align closely with those of Al Ali, who demonstrated EI's distinct explanatory power over and above personality factors in predicting police work performance[1] , and Kidwai, who found EI to be a meaningful predictor of leadership effectiveness and team productivity[17] . Through the lens of COR Theory, officers who possess greater emotional intelligence are better equipped with the psychological resources needed to manage occupational demands—resulting in reduced burnout, improved decision-making under pressure, and more sustained operational output[15] . For police HRM systems, this finding suggests that EI competencies—especially self-regulation and social awareness—warrant formal integration into performance evaluation frameworks and promotion criteria.

H2: Emotional Intelligence and Economic Stability
H2 is strongly supported (β = 0.803, p < 0.001), indicating that EI's influence on financial stability is even more pronounced than its effect on organizational efficiency. This finding moves beyond prior scholarship, which has largely focused on EI's individual financial correlates (such as lower sick leave utilization and reduced turnover), by revealing a meaningful aggregate-level economic effect within a law enforcement institution. In practical terms, higher EI among officers translates into fewer misconduct complaints—reducing legal fees and settlement costs—and lower attrition, which cuts recruitment and retraining expenditure. From a Strategic HRM standpoint, organizations that systematically develop emotionally intelligent human capital generate measurable cost efficiencies through fewer internal conflicts, lower legal exposure, and more effective use of available resources[36] . For police administrators, this points clearly to the calculable return-on-investment embedded in EI training programs.

H3: Moderating Role of Policy Reforms

Figure 2 : Visualization of the Moderating Role of Policy Reforms on the EI–Organizational Efficiency Relationship
The significant interaction effect (β = 0.128, p = 0.002) confirms that reform-oriented policies amplify the positive relationship between EI and organizational efficiency. This finding makes a notable theoretical contribution: it shows that EI's organizational returns are not inherent or unconditional—they are meaningfully shaped by the institutional environment in which officers work. Concrete examples of such reforms include shifting from purely punitive disciplinary frameworks toward cultures that formally reward self-regulation and social awareness—for instance, through promotion criteria that include emotional competency assessments, or through departmental recognition programs for constructive conflict resolution. Where policies are rigid, punitive, or resistant to change, the expression and practical impact of emotionally intelligent behaviors may be suppressed—a pattern consistent with White's finding that emotionally skilled leaders demonstrate greater openness to institutional reform[34] . From a COR Theory perspective, supportive policy frameworks serve as institutional resources that shield and amplify individual psychological capital (EI), enabling positive performance spirals at the organizational level. The HRM implication is clear: EI development programs and policy reform efforts should be co-designed and implemented jointly rather than treated as separate, disconnected initiatives.

H4: Mediating Role of Organizational Efficiency
The mediation analysis confirms H4, revealing a partial mediation structure: EI contributes to economic stability both directly (β = 0.47, p < 0.001) and indirectly through its effect on organizational efficiency (β = 0.316, p < 0.001). That mediation is partial rather than complete suggests that while organizational efficiency is an important mechanism, EI also shapes economic outcomes through other direct pathways—such as fewer interpersonal conflicts, lower rates of absenteeism, and stronger public trust. Improved public trust, for instance, may lead to greater community cooperation, which reduces operational costs associated with unresolved disputes and supports more targeted resource deployment. This multi-pathway structure reflects a self-reinforcing cycle: emotionally skilled officers contribute to more efficient organizational processes, which in turn generate financially sustainable outcomes. For police performance management systems, this finding makes a compelling case for incorporating EI-related performance indicators alongside conventional operational metrics in balanced scorecard frameworks.

Demographic Implications
The demographic balance achieved in this sample meaningfully strengthens the generalizability of the findings. The consistency of EI's effects across rank levels indicates that EI training should not be limited to leadership or supervisory staff but should instead span all levels of the organizational hierarchy. The near-equal gender distribution—an uncommon feature in Indian policing research—enables meaningful gender-comparative analysis and suggests that the organizational benefits associated with EI are not gender-differentiated. That said, future research drawing on larger within-gender sub-samples should more formally test whether gender moderates any of the structural relationships identified here.
 
  • Cross-sectional design: The study's cross-sectional nature means that causal directionality cannot be definitively confirmed. Longitudinal studies are needed to establish the temporal sequence of EI's effects.
  • Self-report data: Although procedural and statistical safeguards were applied, social desirability influences on EI self-ratings cannot be fully excluded—officers may have responded in ways they perceived as professionally expected rather than entirely accurate. Future work should incorporate supervisor-rated or ability-based EI assessments (e.g., MSCEIT), as well as objective performance data such as disciplinary records or citizen complaint rates, to provide more externally verifiable evidence of EI's effects.
  • Geographic scope: Findings are drawn exclusively from the Gujarat Police Force and may not generalize to other Indian states or international law enforcement contexts with distinct organizational cultures. Future research should undertake comparative studies spanning multiple Indian state police forces—such as Maharashtra, Rajasthan, or Tamil Nadu—as well as international comparisons with forces in South-East Asia or the United Kingdom, to test the structural model's broader applicability.
  • Single study: Replication across additional states, cultural settings, and policing structures will be needed before broad policy prescriptions can be issued with confidence.
Demographic Profile of Respondents
The demographic characteristics of the 384 study participants are summarized in Table 1. One particularly notable feature of the sample is the near-equal gender distribution, with 49.7% male and 50.3% female respondents—a composition that stands in contrast to the historically male-dominated character of Indian policing research, and one that meaningfully enhances the gender-comparative validity of the findings. In terms of age, just over half of the respondents (53.4%) were between 31 and 40 years old, suggesting a predominantly mid-career sample with substantial real-world experience. Rank representation was spread across Sub-Inspectors (35.9%), Constables (34.1%), and Inspectors (29.9%), ensuring that both frontline and supervisory viewpoints are reflected. Educational backgrounds ranged across high school (34.6%), graduate (33.6%), and postgraduate (31.8%) levels, indicating a workforce with the capacity to engage meaningfully with EI training and policy reform initiatives.

Demographic Variable Frequency Percentage (%)
Gender
Male 191 49.7
Female 193 50.3
Age Group
21–30 Years 179 46.6
31–40 Years 205 53.4
Rank
Constable 131 34.1
Sub-Inspector (SI) 138 35.9
Inspector 115 29.9
Educational Level
High School 133 34.6
Graduate 129 33.6
Postgraduate 122 31.8
Table 1 : Demographic Profile of Survey Respondents (N = 384)

Reliability, Validity, and Measurement Model
Table 2 displays the psychometric properties for each of the four constructs used in this study. Cronbach's Alpha values for all constructs exceeded 0.87 (range: 0.879–0.897), comfortably surpassing the widely accepted reliability threshold of 0.70 (Nunnally, 1978), confirming strong internal consistency throughout the instrument. Composite Reliability (CR) values similarly exceeded 0.83 across all constructs (range: 0.837–0.842), meeting the ≥ 0.70 criterion for construct reliability[14] . Average Variance Extracted (AVE) values ranged from 0.702 to 0.714, all exceeding the minimum 0.50 threshold required to establish convergent validity[8]
Discriminant validity was verified using the Fornell–Larcker criterion: in each case, the square root of the construct's AVE was larger than its correlations with all other constructs in the model, confirming that the constructs are sufficiently distinct from one another. Taken together, these measurement model properties confirm that the study's instruments are both valid and reliable for testing the proposed structural hypotheses[8].

Construct Cronbach's Alpha Composite Reliability AVE
Emotional Intelligence 0.879 0.837 0.703
Organizational Efficiency 0.897 0.842 0.714
Economic Stability 0.892 0.837 0.702
Policy Reforms 0.891 0.838 0.704

Note: AVE = Average Variance Extracted. All values meet established thresholds: α > 0.70 (Nunnally, 1978); CR > 0.70; AVE > 0.50[8].

Table 2 : Internal Consistency, Composite Reliability, and Convergent Validity

Structural Model Fit
Before proceeding to hypothesis testing, the structural model's overall fit was evaluated against standard benchmarks. The model demonstrated satisfactory fit across all indices: χ²/df = 2.31 (threshold < 3.0); CFI = 0.96 (threshold > 0.95); TLI = 0.95 (threshold > 0.95); RMSEA = 0.058 (threshold < 0.06); SRMR = 0.049 (threshold < 0.08), consistent with recommended standards[16]  [14] . These statistics confirm that the hypothesized structural model adequately represents the patterns present in the observed data.

Hypothesis Testing

H Relationship β (Std.) Estimate C.R. p-value Result
H1 EI → Organizational Efficiency 0.746 0.746 12.358 < 0.001 Supported
H2 EI → Economic Stability 0.803 0.803 12.945 < 0.001 Supported
H3 (Mod.) EI × Policy Reforms → Org. Efficiency 0.128 0.128 3.158 0.002 Supported
H4 (Med.) EI → Org. Efficiency → Econ. Stability (Indirect) 0.316 0.316 6.810 < 0.001 Supported (Partial)

Note: β = standardized regression coefficient; C.R. = Critical Ratio; p < 0.001 denoted as ***; EI = Emotional Intelligence; Org. = Organizational; Econ. = Economic; Mod. = Moderation; Med. = Mediation.

Table 3 : Structural Equation Model Results — Hypothesis Testing

 

Figure 1 : Moderation Effect of Policy Reforms on the EI–Organizational Efficiency Relationship (H3) (β{interaction} = 0.128, p = .002)
This study provides large-sample, empirically grounded evidence that Emotional Intelligence constitutes a strategically valuable resource for police organizations—directly strengthening operational efficiency and financial sustainability, with amplified effects in environments that support reform. The partial mediation of organizational efficiency in the EI–economic stability relationship highlights the multi-channel nature of the process through which emotional competencies translate into institutional resilience. These findings, anchored in Goleman's mixed-model framework[12]  and Hobfoll's COR Theory, reframe EI not as a soft, peripheral skill but as a core HRM asset deserving deliberate investment and systematic institutional embedding[15] .

Practical Implications

  • Police Academies and Training Programs: Core EI competencies—particularly self-regulation, empathy, and constructive conflict management—should be treated as mandatory, formally graded components of both foundational officer training and ongoing professional development, rather than supplementary additions to the curriculum. Critically, this training should span all ranks—from Constables and Sub-Inspectors through to Inspectors—as the benefits of EI were observed consistently across the entire organizational hierarchy, not only among senior leadership.
  • HRM Policy Frameworks: Police HRM systems should incorporate EI metrics into recruitment, performance appraisal, and succession planning. The documented relationship between EI and operational efficiency provides clear justification for aligning EI competency frameworks with existing officer evaluation systems.
  • Institutional Policy Reform: The study demonstrates that adaptive, inclusive, and innovation-oriented policy structures meaningfully amplify the organizational returns of EI. Police leadership should therefore treat policy reform as a complement to—not a substitute for—individual-level EI development.
  • Economic Governance: Budgetary and resource allocation decisions in police departments should account for the demonstrable economic returns embedded in EI-focused HRM investments, including measurable gains from reduced absenteeism, turnover cost savings, and efficiency-driven resource optimization.
  • Longitudinal research designs that track EI development, policy reform rollout, and organizational performance outcomes over extended periods.
  • Multi-source measurement designs incorporating 360-degree EI assessments from supervisors, peers, and subordinates.
  • Comparative cross-state and cross-national studies to test the structural model's generalizability across varying institutional and cultural contexts.
  • Qualitative follow-up research exploring the lived mechanisms through which policy reform and EI interact at the experiential level of police officers.
  • Extension of the model to include downstream outcome variables such as public trust and community relations.
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Pain Text:
keren Millet , Dr shweta Oza , , Dr Kerav Pandya (2026), The Role of Emotional Intelligence in Police Departments: Policy Reforms for Organizational Efficiency and Economic Stability. Samvakti Journal of Research in Business Management, 7(1) 32 - 51.