Browsing by Author "Shefali Sharma"

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    Direct Benefit Transfer (DBT) in India: A Strategic Assessment of Technology-Driven Welfare Delivery
    (Chitkara University Publications, 2023-10-15) Priyanka Sharma; Shefali Sharma; Barsha Rani
    Background: The Direct Benefit Transfer (DBT) initiative in India has emerged as a pivotal reform in public welfare management by leveraging digital infrastructure to enhance the efficacy, transparency, and accountability of subsidies and benefit distribution. Purpose: The purpose of this study is to evaluate the efficacy of DBT in improving welfare delivery, examine its evolution, enablers, and challenges, and propose strategic recommendations for its optimization. Methods: A comprehensive literature review utilizing peer-reviewed articles and policy reports on direct benefit transfer (DBT) in India is conducted. The key findings are systematically synthesized, and public value theory is applied to evaluate DBT’s impact on public service delivery. Subsequently, a SWOT analysis is employed to examine the program’s strengths, weaknesses, opportunities, and threats, providing managerial insights for enhancing public welfare through DBT in India. Results: DBT has significantly enhanced transparency, reduced fraudulent activities, and promoted financial inclusion through the JAM trinity. However, exclusion errors, limited rural banking infrastructure, and digital literacy barriers hinder its broader impact. Strategic opportunities exist in the implementation of emerging technologies and public-private collaborations to expand DBT’s reach and efficacy. Conclusion: DBT exerts a substantial influence on the transformation of public welfare in India through the promotion of social equity and economic empowerment. The results suggest policy actions to optimize the program’s effectiveness, including improving the process of identifying beneficiaries, broadening initiatives to enhance digital literacy, and utilizing cutting-edge technologies such as artificial intelligence and blockchain to achieve superior welfare outcomes.
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    The Influence of Algorithmic Management on Employees Perceptions of Organisational Justice – A Conceptual Paper
    (Chitkara University Publications, 2024-04-10) Shefali Sharma; Priyanka Sharma; Rohit Sharma
    Background: The use of algorithms in organizations has become increasingly common, with many companies transitioning managerial control from humans to algorithms. While algorithmic management promises significantly efficiency gains, it overlooks an important factor of employees’ perception of fairness towards their workplace. Employees pay close attention to how they perceive justice in the workplace; their behavior is shaped by these perceptions. Purpose: This study aims to explore how algorithmic management systems can be designed to balance efficiency with transparency and fairness. So, to foster a sense of justice, organizations should design algorithmic systems in such a way to ensure a transparent decision-making process where employees clearly understand how decisions are made and can trust the outcomes. Method: A review of literature on algorithmic management and workplace fairness was conducted, focusing on the impact of transparent decision-making processes, equitable resource distribution, and constructive feedback mechanisms on employee trust and engagement. Results: Providing timely and constructive feedback and equal distribution of resources can foster a strong sense of fairness, making employees valued and connected to the organization. This will enhance employee trust, engagement, and overall organizational performance, as workers will be more likely to align with the company’s goals when they are treated fairly. Conclusion: Organizations should prioritize fairness and transparency in the design of algorithmic management systems. Treating employees fairly not only strengthens their connection to the organization but also aligns their efforts with its objectives.