📄 social_science

Green Human Resource Management and Emotional Wage as Predictors of Employee Well-Being in Dark-Store Supply Chains

This study demonstrates that Green Human Resource Management (GHRM) practices significantly enhance employee well-being in dark-store supply chains, both directly and indirectly through the mediating role of emotional wage, based on data from 400 employees across major Indian quick-commerce platforms.

Original authors: Hitesh Bhoi, Pretty Bhalla, Rita Kumari, Mridul M, Syeda Zehra, D. Sivakumar

Published 2026-06-26

📖 4 min read☕ Coffee break read

CC BY 4.0

Original authors: Hitesh Bhoi, Pretty Bhalla, Rita Kumari, Mridul M, Syeda Zehra, D. Sivakumar

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a Dark Store not as a mysterious warehouse, but as a high-speed, digital "kitchen" where orders for groceries and essentials are packed and shipped out in minutes. These places are like the engines of a race car: fast, intense, and demanding. The people working there (pickers, packers, delivery riders) are the drivers and mechanics, often under immense pressure to keep up with the clock.

This research paper asks a simple but profound question: How do you keep these drivers happy and healthy when the race never stops?

The authors, a team of researchers from India, decided to look at two specific things that might be the "secret fuel" for these workers: Green HRM and Emotional Wage.

The Two Key Ingredients

1. Green HRM (The "Eco-Team" Culture)
Think of Green Human Resource Management as the company's way of saying, "We care about the planet, and we want you to be part of that." It's not just about recycling bins. It's a whole system where:

They hire people who care about nature.
They train staff on how to save energy and resources.
They reward employees for coming up with green ideas.
They build a culture where being eco-friendly is a core value, like a team sport.

2. Emotional Wage (The "Heart Paycheck")
Usually, when we talk about wages, we think of money in the bank. But the researchers argue that in these high-stress jobs, there is a second paycheck called Emotional Wage. This is the "heart pay" you get when:

You feel recognized and appreciated.
You have a boss who actually listens to you.
You feel like you belong to a team that cares about your personal growth and work-life balance.
You feel your work has a purpose beyond just moving boxes.

The Experiment: A Survey of 400 Workers

The researchers went to eight different districts in Telangana, India, and surveyed 400 employees from major quick-commerce companies (like Blinkit, Zepto, and Swiggy Instamart). They asked these workers to rate how much they agreed with statements about their company's green practices, their emotional rewards, and their overall happiness and health.

They used advanced statistical tools (like a sophisticated "recipe tester" called Structural Equation Modeling) to see how these ingredients mixed together.

What They Found: The "Green-to-Happy" Pipeline

The study discovered a clear chain reaction, like a line of dominoes falling:

Green HRM Boosts Emotional Wage: When companies actively practice Green HRM (training, green culture, eco-recognition), employees feel a stronger sense of Emotional Wage. It's as if the company's care for the planet makes the employees feel cared for personally. They feel a sense of pride and belonging.
Emotional Wage Boosts Well-Being: This "Heart Paycheck" is a powerful driver. When employees feel recognized, supported, and valued emotionally, their Well-Being (their mental health, happiness, and job satisfaction) goes up significantly.
The Direct Link: Green HRM also helps well-being directly, but the study found that the Emotional Wage is the stronger bridge. It's the main pathway through which green practices turn into happy, healthy workers.

In simple terms: When a dark store tells its workers, "We are a green team, and we value your heart as much as your speed," the workers feel more supported. That feeling of support (Emotional Wage) is what actually makes them feel less stressed and more happy.

The Numbers Behind the Story

The "Green Culture" Score: Workers rated their company's green culture very highly (around 4 out of 5).
The "Heart Pay" Score: Workers felt they were receiving good emotional rewards (also around 4 out of 5).
The Result: The math showed that for every step the company took to be greener and more supportive, the workers' well-being improved. The "Emotional Wage" acted as a partial mediator, meaning it explained how the green practices led to happier employees.

The Bottom Line

The paper concludes that in the fast-paced, high-pressure world of dark stores, you can't just rely on money to keep workers happy. You need to build a Green HRM system that fosters a sense of purpose and community. This system boosts the Emotional Wage—the feeling of being valued and supported—which, in turn, acts as a shield against stress and a booster for overall well-being.

Essentially, the study suggests that sustainability isn't just good for the Earth; it's a powerful tool for taking care of the people who keep the supply chain moving. When the company cares about the planet and the people together, the people feel better, work better, and stay happier.

Technical Summary: Green Human Resource Management and Emotional Wage as Predictors of Employee Well-Being in Dark-Store Supply Chains

Problem Statement and Research Gap
The study addresses the critical need to understand how sustainability-oriented Human Resource Management (HRM) practices influence employee outcomes within the high-intensity, algorithm-driven environment of "dark-store" supply chains. While Green Human Resource Management (GHRM) is established as a driver of organizational sustainability, existing literature largely focuses on operational or performance perspectives, often neglecting the psychological mechanisms linking GHRM to employee well-being. Furthermore, the concept of "emotional wage"—comprising non-monetary rewards such as recognition, supportive culture, and work-life balance—has rarely been examined as a mediating variable within sustainability-oriented HR systems, particularly in the context of quick-commerce logistics (e.g., Blinkit, Zepto, Swiggy Instamart). The research aims to fill this gap by developing a mechanism-based framework that integrates GHRM, emotional wage, and employee well-being, grounded in Social Exchange Theory (SET) and Ability–Motivation–Opportunity (AMO) theory.

Methodology
The research employed a quantitative, cross-sectional design involving 400 employees across dark stores in eight districts of Telangana, India. The sample represented a diverse range of roles, including Delivery Executives, Picker-Packers, Store Managers, Operation Leads, and HR personnel, from major quick-commerce firms (Blinkit, BigBasket, DMart Ready, Swiggy Instamart, and Zepto).

Data Collection: Primary data were gathered via structured questionnaires using a five-point Likert scale.
Constructs: The study measured three latent variables:
1. Green HRM Strategies: Comprising five dimensions (Green Recruitment, Training, Performance Management/Rewards, Internal Communication, and Sustainable Culture).
2. Emotional Wage: Measured across Strategic, Human, Value Creation, and Motivational dimensions.
3. Employee Well-Being: Assessed through Psychological, Social, Workplace, and Subjective well-being dimensions.
Analytical Techniques: The study utilized a multi-stage analytical approach:
- Descriptive Statistics and Correlation: To summarize data and examine bivariate relationships.
- Confirmatory Factor Analysis (CFA): To validate the measurement model, assessing reliability (Cronbach's alpha, Composite Reliability) and validity (Average Variance Extracted, discriminant validity).
- Regression Analysis: To test direct effects.
- Mediation Analysis: Conducted using Hayes' PROCESS Macro (Model 4) with bootstrapping and Structural Equation Modeling (SEM) via IBM SPSS Amos to test the mediating role of emotional wage.

Key Results
The empirical analysis yielded robust statistical support for the proposed framework:

Descriptive Findings: Employees reported positive perceptions of GHRM practices, with "Green Sustainable Culture" showing the highest mean scores (4.02–4.08). Emotional wage dimensions also demonstrated strong agreement (means 3.88–4.18), as did employee well-being outcomes (means 3.85–4.12).
Measurement Model Validity: The CFA confirmed satisfactory psychometric adequacy. All constructs exhibited high reliability (Composite Reliability ranging from 0.90 to 0.94) and convergent validity (AVE ranging from 0.59 to 0.64). The model fit indices were strong (CFI = 0.93; RMSEA = 0.056).
Direct Effects:
- GHRM significantly predicted Emotional Wage ( $\beta$ = 0.470, $p$ < 0.001).
- Emotional Wage significantly predicted Employee Well-Being ( $\beta$ = 0.472, $p$ < 0.001).
- GHRM had a significant direct effect on Employee Well-Being ( $\beta$ = 0.333, $p$ < 0.001).
Mediation Effects: The study confirmed that Emotional Wage acts as a significant partial mediator in the relationship between GHRM and Employee Well-Being. The indirect effect was statistically significant ( $\beta$ = 0.41, $p$ < 0.001), indicating that GHRM practices enhance well-being both directly and through the pathway of improved emotional wage (psychosocial rewards).

Key Contributions and Significance
The paper claims several theoretical and practical contributions:

Theoretical Integration: The study extends Green HRM literature by integrating Social Exchange Theory and AMO theory to explain how sustainability-oriented HR systems function as a system-level input that influences employee outcomes through socio-psychological mechanisms. It validates "emotional wage" as a critical mediating construct, moving beyond variable-oriented research to mechanism-oriented understanding.
Contextual Novelty: It provides empirical evidence specifically within the under-researched domain of dark-store supply chains, a sector characterized by high operational intensity and time-sensitive fulfillment. The findings suggest that GHRM acts as a buffering mechanism against high-pressure work conditions in digital logistics ecosystems.
Practical Implications: The results suggest that for organizations in high-intensity fulfillment environments, sustainability-oriented HR practices must be coupled with psychosocial reward mechanisms (emotional wage) to effectively improve employee well-being, engagement, and retention. The study offers a validated framework for developing sustainable, employee-centered HR strategies in digital supply chains.

Limitations and Scope
The authors modestly acknowledge limitations inherent to the study design. The cross-sectional nature of the data limits causal inference, and the focus on Telangana, India, may restrict the generalizability of findings to other geographical or sectoral contexts. Additionally, the reliance on self-reported data introduces the potential for perceptual bias, although the study employed statistical controls (e.g., Harman's Single-Factor Test) to mitigate common method bias concerns. Future research is suggested to adopt longitudinal designs and explore the role of AI and digital HR systems in these environments.