Paul Nti Ababio

• Ababio, Paul Nti; Risberg, Annette & Engen, Marit (2026). From individual uniqueness to collective practice: a study on how workforce diversity impacts daily practices. Equality, Diversity and Inclusion (EDI). ISSN 2040-7149. ahead-of-print, p. 20–20. doi: 10.1108/edi-07-2025-0469. Full text in Research Archive Show summary

  Purpose This study explores how workforce diversity impacts daily practices in elderly care. It examines how diverse knowledge can become integrated into daily caregiving through specific processes and conditions. Design/methodology/approach Drawing on a qualitative case study of two departments in a Norwegian elderly care facility, data were gathered through field observations and interviews with staff from diverse backgrounds. Findings The study demonstrates how different forms of knowledge, including cultural, professional and personal knowledge, and language capabilities combine via informal learning and collaborative problem-solving. Leadership support and team trust enable this integration, although language barriers, cultural stereotyping and resource constraints create challenges. Research limitations/implications The study is based on a single case in Norwegian elderly care. It theorizes how diversity becomes a resource through situated interactions, offering insights that are transferable to similar care contexts. Practical implications Organisations must establish conditions that enable knowledge-sharing across different experiences: leadership support for experimentation, spaces for informal learning and opportunities for reflection. Social implications This study shows how recognizing and integrating different perspectives in the workplace can lead to inclusive and collaborative practices. It indicates the social value of diversity not merely as representation but as a potential resource for collective learning and innovation in everyday work, with relevance for policy, management, and care quality. Originality/value This study contributes to both diversity management and service innovation literature by showing how different forms of knowledge blend and become integrated in elderly care practice. It moves past viewing diversity through demographic categories and shows how different backgrounds and knowledge serve as potential resources for the development of caregiving practices.

• Blija, Daniel Kwame; Asibey, Michael Osei; Ababio, Paul Nti; Amponsah, Owusu; Poku-Boansi, Michael & Amoako, Clifford (2024). A view of migrant women's “right to the city” through the lens of translocality. Cities: The International Journal of Urban Policy and Planning. ISSN 0264-2751. 146. doi: 10.1016/j.cities.2023.104722. Full text in Research Archive Show summary

  With a global commitment to leave no one behind, cities can design and execute programs and plans aimed at enhancing the rights of all to the city. Yet, the vulnerable, including low-income migrants are subject to socioeconomic marginalization. Based on interviews with 38 head porters and their translocal networks, this study examined the influence of translocality on migrant's female head porters' “right to the city” using the Central Business Area of Kumasi as a case study. The paper found that female head porters leveraged their translocal relations to produce and enjoy the benefits of the city. Translocal networks enhanced their right to create and be employed, rights against abuse, civic participation, creation and access to public spaces, and healthy and sustainable urban environment. This is far from exhaustive, but it thus demonstrates how translocal networks enhance access to the “right to the city” among the vulnerable. It is suggested that migrants' fruitful translocal linkages may be further promoted by city authorities as resources for migrants' integration and rights to the city. While this may facilitate synergy effects and collaboration between citizens such as migrants and authorities, it does not exempt city authorities from actively supporting migrants through specifically designed policies and actions.

View all works in NVA

• Sharif, Aizaz; Marijan, Dusica; Liaaen, Marius & "", "" (2021). DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing. doi: 10.1109/ICSME52107.2021.00053. Full text in Research Archive Show summary

  Continuous integration testing is an important step in the modern software engineering life cycle. Test prioritization is a method that can improve the efficiency of continuous integration testing by selecting test cases that can detect faults in the early stage of each cycle. As continuous integration testing produces voluminous test execution data, test history is a commonly used artifact in test prioritization. However, existing test prioritization techniques for continuous integration either cannot handle large test history or are optimized for using a limited number of historical test cycles. We show that such a limitation can decrease fault detection effectiveness of prioritized test suites.This work introduces DeepOrder, a deep learning-based model that works on the basis of regression machine learning. DeepOrder ranks test cases based on the historical record of test executions from any number of previous test cycles. DeepOrder learns failed test cases based on multiple factors including the duration and execution status of test cases. We experimentally show that deep neural networks, as a simple regression model, can be efficiently used for test case prioritization in continuous integration testing. DeepOrder is evaluated with respect to time-effectiveness and fault detection effectiveness in comparison with an industry practice and the state of the art approaches. The results show that DeepOrder outperforms the industry practice and state-of-the-art test prioritization approaches in terms of these two metrics.

View all works in NVA