Journal of Contemporary Research in Management (JCRM)

Exploring the Impact of Green Practices, Green Dynamic Capabilities on Green Innovation: The Mediating Role of Green Value Co-creation in SMES

2026-08-08T11:37:43+02:00

This study explores the relationships among green practices, green dynamic capabilities, green value co-creation, and GI within the context of small- and medium-sized enterprises (SMEs). Using a crosssectional research design, data from 500 SMEs across five South Indian states were analyzed to examine these constructs' direct and indirect effects. The findings reveal that GP significantly and positively influence green innovation, underscoring the importance of sustainable operational strategies for fostering ecofriendly innovation. However, GDC exhibits a negative relationship with green innovation, suggesting potential trade-offs or challenges in leveraging these capabilities effectively. Furthermore, GVC was not found to mediate the relationship between GP and green innovation, nor was GP or dynamic a significant predictor of value co-creation. These results highlight the efficacy of direct strategies, such as adopting green practices, and collaborative approaches, in driving innovation within SMEs. This study contributes to the theoretical understanding of sustainability in SMEs and provides practical insights for managers, emphasizing the need to prioritize internal sustainability initiatives as a pathway to innovation. We then discuss the limitations and avenues for future research to further the dialogue on sustainability-driven innovation, including additional factors, such as government policies and technological advancements, and longitudinal studies.

Contemporary Approach of Strategic Entrepreneurship in Employee Engagement and Retention

2026-08-08T11:41:15+02:00

Strategic entrepreneurship is a distinct type of strategy where organisations focus on constant innovations. The concept of Strategic Entrepreneurship is considered to be the transformation of Strategic Management into Entrepreneurship, taking Entrepreneurial actions using a strategic perspective, as the Entrepreneurship culture developed in large corporates as growth strategy. Strategic Entrepreneurship prepares firms to stand out in the modern market. It is effective for employee retention and involves the concurrent progressive actions of companies. In strategic entrepreneurship, organisational practices and management principles are two main components of innovation.

This study explores the impact of strategic entrepreneurship on two major challenges for modern organisations employee retention and engagement. To fulfill this objective, a conceptual approach has been adopted with thematic analysis of recent literature. This study draws insights from organisational practices and secondary data available in recent studies related to employee engagement and retention. This research proposes a conceptual framework to show how these factors are interlinked.

Predicting Financial Distress in Select Indian Listed Companies Through Machine Learning Algorithms

2026-08-08T11:43:20+02:00

In the era of digital revolution, identifying and predicting the signs of financial distress in advance have become a strategic consideration. It enables in preserving the confidence of investors, while making informed decision to avoid distress. The financial distress concerns of listed companies become a matter of debate in academic and professional realms, as early detection enables companies, investors and regulators to implement corrective measures even before it strikes. In developing Indian markets, the vulnerabilities of businesses and structural imbalance have added to the pressure of wanting to have a sound predictive framework. This study aims to examine the effectiveness of machine learning algorithms in forecasting financial distress in select Indian listed companies. This research is based on 7,705 observations derived from 1,938 Indian listed companies across 11 sectors. The financial distress was analysed through three well-established traditional models namely Altman Z-score, Fich and Slezak, as well as Zmijewski index. In addition, key financial ratios representing profitability, leverage, liquidity, and operational efficiency are incorporated into it. The outcomes from these conventional Models were examined with the machine Learning algorithms encompassing of logistic regression, decision tree, K nearest neighbours and random forest. The predictive performance of these models was then evaluated on metrics such as precision, recall, F1 score and area under curve measure. The results indicate that the random algorithm shows strong predictive performance and delivered the highest accuracy of 93% for Model 1- Altman Z-score, 99% for Model 2- Fich and Slezak and Model 3 - Zmijewski. The results evidenced that asset turnover, return on asset, interest coverage ratio, and debt ratio have the significant impact on financial distress under different models.

Roots Under Threat: A Case Study of Farming Communities in the Western Ghats During Environmental Policy Reforms

2026-08-08T11:45:03+02:00

This case study examines the lived experiences of farming communities in India's Western Ghats following the introduction of the Western Ghats Ecology Expert Panel (WGEEP) recommendations in 2010. Drawing upon the story of Rajan, a multi-generational farmer living in Kerala's mountainous regions, this paper sheds light upon the intricate human components of environ- mental protection policies. This paper uncovers the overwhelming socioeconomic and cultural impacts upon indigenous farm villages when the implementation of protection projects neglects to account for farm community livelihoods adequately. The findings highlight the critical conservation need that respect traditional ecological knowledge and gives precedence to community involvement in environmental policy.

An Empirical Study on Disaster Preparedness Among Fire Station Employees

2026-08-08T11:46:59+02:00

This study investigates disaster preparedness among fire station employees, focusing on their knowledge, training, and readiness to respond effectively during emergencies. The research highlights the crucial role of continuous training, resource allocation, and cross-functional teamwork in building resilient emergency response teams. Many research studies on disaster preparedness have predominantly focused on the medical sector, overlooking fire station employees. Existing literature often generalizes findings across emergency services, missing fire-specific challenges. Few studies assess individual preparedness, training, and perception among firefighters. This creates a clear gap in understanding disaster readiness within fire stations. It aims to assess the existing protocols, challenges, and strategies for disaster response within fire stations. Data for this study was collected from 250 respondents through surveys with fire station personnel, the research evaluates their level of preparedness for different types of disasters, such as fires, natural calamities, and chemical accidents. The sampling method used in this study was purposive sampling, and statistical tools were analysed using descriptive statistics, independent sample t-test, oneway ANOVA, and exploratory factor analysis. This study finds out disaster preparedness behaviour in training, resources, and coordination with other emergency services, offering recommendations for improving disaster response efficiency. The findings will contribute to enhancing disaster preparedness strategies and ensure that fire station employees are adequately equipped to safeguard lives and property during crises. The conclusion of the study, fire station employees are ready to accept the natural and manmade disaster situations through the adequate training of disaster preparedness.