Motivators of employee commitment at multinational organisations in emerging economies: Empirical evidence from Nigeria

The study examines what drives employee commitment in multinational organisations operating in Nigeria, an emerging economy context marked by high unemployment and constrained labour mobility. Building on the importance of commitment for organisational effectiveness, the paper posits that both motivational factors (extrinsic and intrinsic) and contextual conditions (organisational climate and stunted mobility due to unemployment) shape commitment. It aims to determine the extent to which stunted mobility, extrinsic motivation, intrinsic motivation, and organisational climate influence employee commitment, and whether perceptions of commitment vary by age, gender, and educational qualification. The study formulates null hypotheses that each factor is not related to commitment and that perceptions are invariant across demographic and organisational categories. Understanding these drivers is important for managers and policymakers seeking to enhance productivity in resource-constrained, high-unemployment environments where apparent commitment may be “disguised” by limited job alternatives.

Conceptually, organisational commitment reflects employees’ attachment, loyalty, identification, and willingness to exert effort on behalf of the organisation (Meyer and Allen, 1991; Hanaysha, 2016; Akintayo, 2011; Ongori, 2007; Zheng, 2010; Wolowska, 2014). Prior evidence links unemployment and job insecurity to higher commitment via increased costs of job loss (Apergis, 2016; Hallier and Lyon, 1996), while related strands examine unemployment and labour mobility (Hämäläinen, 2002; McCormick, 1997; Osberg, 1991). Job security and satisfaction dimensions (e.g., wages, coworker satisfaction) relate to commitment (Jandaghi et al., 2011); employee engagement is associated with affective and normative commitment (Rameshkumar, 2020); educational attainment, incentives, and job satisfaction can influence commitment in higher education settings, while age, civil status, and gender may not (Qiambao and Nuqui, 2017). Determinants also include organisational climate, work locus of control, psychological contract, and work environment (Wolowska, 2014; Gitau and Monari, 2019). Mixed-method findings highlight job design, autonomy, responsibility, and personal growth as drivers of commitment (Ezenwakwelu, 2017), while pay satisfaction may sometimes negatively correlate with commitment (Bonau, 2018). The review identifies gaps: few studies link unemployment to commitment in Nigeria specifically, and the role of constrained mobility as a pathway from unemployment to commitment is underexplored. The study’s conceptual framework posits that extrinsic and intrinsic motivators, organisational climate, and stunted mobility shape job satisfaction and, in turn, employee commitment; demographic and job characteristics may constrain mobility. The theoretical framing draws on Meyer and Allen’s three-component model (affective, continuance, normative commitment), Mullins’ needs and expectations model (extrinsic, intrinsic, social relationship factors), Social Exchange Theory (reciprocity in HRM practices and employee attitudes), and Leader–Member Exchange Theory (quality of leader–member relationships as a determinant of commitment).

Design and setting: Quantitative, cross-sectional survey of employees in seven multinational companies (Coca-Cola Plc., 7Up Plc., Guinness Plc., Nigerian Breweries Plc., MTN, Airtel, and Ecobank Plc.) across four Niger Delta states (Edo, Delta, Bayelsa, Rivers), Nigeria. Rationale: capture employees’ perceptions of motivators of commitment in a high-unemployment emerging economy. Population and sampling: Estimated population ~1267. Sample size determined via Taro Yamane formula: 380, with proportional allocation across firms and strata (management, senior, junior staff). Stratified random sampling (lottery method) within strata. Completed responses: 223 of 280 administered (76.64% response rate from those served; 223/380 originally sampled consented), yielding the analytic sample. Instrument: Structured questionnaire with two sections: biodata and Likert-scale items (five-point). Dependent variable (employee commitment): measured with 3 Likert items. Independent variables (motivators): four constructs—stunted mobility (4 items), extrinsic motivation (4 items), intrinsic motivation (4 items), organisational climate (2 items). Items developed by the author. Validity: Expert review for content validity; scale-level content validity index (S-CVI) = 0.79; item-level CVIs per construct exceeded recommended thresholds (≥0.71–0.87), satisfying Zamanzadeh et al. (2015) criteria. Reliability: Cronbach’s alpha: entire instrument = 0.89; stunted mobility = 0.83; extrinsic motivation = 0.65; intrinsic motivation = 0.72; organisational climate = 0.76; employee commitment = 0.74. Common method variance and multicollinearity: Multicollinearity checks indicated VIF maximum 6.915 (occupational mobility), tolerance 0.145; average VIF within tolerance, suggesting no serious multicollinearity and mitigating common method variance concerns. Analysis: Structural equation modelling (SEM) with maximum likelihood estimation; path diagram analysis. Equation-level goodness-of-fit and stability diagnostics computed. One-way ANOVA (F-tests) assessed differences in perceptions by socio-demographic variables (age, gender, educational qualification) and organisation.

• Sample: 223 respondents across seven multinationals in four Nigerian states.
• SEM results (standardised coefficients, all p<0.001): • Stunted mobility (SM): β = 0.366; Z = 18.73 • Extrinsic motivation (EM): β = 0.313; Z = 24.13 • Intrinsic motivation (IM): β = 0.293; Z = 11.98 • Organisational climate (OC): β = 0.170; Z = 15.49 • Constant not significant (β = -0.013; p = 0.737)
• Estimated model: EC = -0.013 + 0.37·SM + 0.31·EM + 0.29·IM + 0.17·OC
• Interpretation: A one-unit increase in stunted mobility, extrinsic motivation, intrinsic motivation, and organisational climate is associated with approximately 37%, 31%, 29%, and 17% increases in employee commitment, respectively.
• Goodness-of-fit: Overall goodness-of-fit (reported) ≈ 0.99; Bentler–Raykov squared multiple correlation (mc²) ≈ 0.995. Stability index = 0; all eigenvalues within the unit circle, indicating model stability.
• Demographic invariance (ANOVA): No significant differences in commitment perceptions by age (F=1.94, p=0.11), gender (F=0.88, p=0.35), educational qualification (F=1.21, p=0.31), or organisation (F=0.78, p=0.59).
• Reliability: Cronbach’s alpha satisfactory overall (0.89) and acceptable across constructs (0.65–0.83).

Findings show that both motivational (extrinsic and intrinsic) and contextual factors (organisational climate and constrained labour mobility) significantly and positively predict employee commitment in Nigerian multinationals. The strong effect of stunted mobility supports the premise that high unemployment and perceived lack of alternative employment can produce “disguised commitment,” consistent with theories linking job loss costs to continuance commitment. Positive effects of extrinsic motivators (e.g., pay, benefits, job security, promotions) and intrinsic motivators (e.g., autonomy, responsibility, recognition) align with Mullins’ needs and expectations model and Social Exchange Theory: when organisations provide valued resources and supportive HR practices, employees reciprocate with higher commitment. The organisational climate’s positive association underscores the role of leadership quality, trust, and supportive work environments, consistent with Leader–Member Exchange Theory and prior empirical work. Demographic invariance suggests that, within this context, commitment drivers operate similarly across age, gender, education, and across the sampled organisations. Overall, the results address the research questions by quantifying each factor’s contribution and support a comprehensive model of commitment drivers tailored to emerging economy conditions.

The study contributes a context-specific model of employee commitment drivers in Nigerian multinationals, highlighting stunted mobility (reflecting high unemployment and constrained labour markets), extrinsic and intrinsic motivation, and organisational climate as significant, positive predictors of commitment. A key novel contribution is formalising “stunted mobility” as a determinant of commitment, indicating potential disguised commitment where alternative employment is scarce. For practice, strategic managers should strengthen extrinsic incentives, foster intrinsically rewarding work (autonomy, recognition, meaningful tasks), and cultivate a positive organisational climate through effective leadership and supportive, communicative environments to sustainably enhance commitment and productivity. Future research could extend the model across other sectors and countries in emerging economies, incorporate additional organisational and macroeconomic variables, and use longitudinal or multi-source designs to mitigate common method bias and to unpack causal pathways.

• External validity: The sample is limited to multinational organisations within Nigeria; results may not generalise to local firms or other emerging economies.
• Model specification: Potential omission of other relevant determinants of commitment; the selected explanatory variables may not capture all influential factors.
• Cross-sectional, self-report design: Limits causal inference and may be subject to common method bias despite multicollinearity/CMV checks.