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Showing posts from May, 2025

Improving Employee Well-Being to Boost Productivity: Strategic Perspectives for Workplaces in Sri Lanka

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Introduction In the current highly competitive business landscape, companies are progressively acknowledging employee wellness as a crucial factor in enhancing productivity. Rather than being seen solely as a human resources responsibility, wellness programs have become essential to achieving sustainable performance, fostering employee engagement, and building organisational resilience. This is especially pertinent in Sri Lanka, where socio-economic challenges, recovery from the pandemic, and changing workplace expectations have intensified the demand for thorough employee well-being strategies. The Connection between Well-Being and Efficiency Multiple research studies indicate a significant positive relationship between employee well-being and productivity. According to Cropanzano (2000) that psychological well-being is closely linked to job performance, implying that employees who are happier tend to be more productive. Wellness influences cognitive functioning, motivation, absenteei...

The Impact of Corporate Social Responsibility (CSR) on the Improvement of Human Resource Management (HRM) Practices: A Strategic Analysis

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Introduction In recent years, the importance of Corporate Social Responsibility (CSR) has grown as companies acknowledge the wider effects their activities have on society. Nevertheless, CSR is not merely an external endeavor to benefit the community, environment, or global challenges. A frequently neglected element is its significant impact on Human Resource Management (HRM). This article examines the relevance of CSR initiatives within HRM, emphasizing how these efforts improve organizational culture, boost employee engagement, enhance talent retention, and strengthen corporate reputation. Comprehending Corporate Social Responsibility and its Connection to Human Resource Management Corporate Social Responsibility (CSR) encompasses the strategies and practices that organizations adopt to positively influence society. These efforts typically include charitable donations, initiatives for environmental sustainability, programs for employee volunteering, and adherence to ethical business ...

Developing a Successful Organizational Culture: Strategic Methods for Long Term Achievement

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Introduction Organizational culture is frequently characterized as the unseen influence that shapes behaviors, decisions, and performance within an organization. However, numerous organizations fail to recognize the significance of culture until it starts to undermine performance or contribute to elevated turnover rates. A successful culture one that fosters both individual and organizational achievement does not occur by chance. It is intentionally developed, cultivated, and sustained. This blog explores the development of such a culture by integrating academic theories with practical insights derived from actual leadership experiences. What Constitutes a 'Successful' Culture? A successful culture is characterized by motivated employees who are in harmony with the organization's values and consistently work towards achieving strategic objectives. According to Schein (2010), culture encompasses the collective assumptions and norms that shape work processes. When these compo...

A Critical Analysis of the adverse impact of Artificial Intelligence on Human Resource Management

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Introduction The integration of Artificial Intelligence (AI) has transformed Human Resource Management (HRM) by streamlining processes like recruitment, performance assessments, and employee engagement. Although these innovations offer the potential for enhanced efficiency and impartiality, they also present considerable ethical, legal, and operational challenges. This article provides a critical analysis of the adverse impacts of AI incorporation in HRM, emphasizing algorithmic bias, legal ramifications, and practical case studies. Comprehending Bias in Artificial Intelligence for Human Resources Artificial intelligence bias arises when machine learning models adopt biases present in their training data, algorithms, or the intentions of their human creators. As AI systems are trained on historical data, they may mirror and reinforce existing inequalities, inadvertently putting certain groups at a disadvantage. In the context of human resources, this bias can be evident in areas such a...