Research Article
High-Performance Work Systems and Organizational Resilience in the Age of Technology: Evidence from Selected Commercial Banks in Tanzania
David Haruna Mrisho*
,
Shanel Clodwick Komba
Issue:
Volume 14, Issue 3, September 2026
Pages:
45-56
Received:
22 February 2026
Accepted:
16 April 2026
Published:
24 July 2026
Abstract: The ability of organizations to withstand and adapt to disruptions has become a crucial strategic focus, especially in the banking industry, which faces increased exposure to economic fluctuations, technological advances, and global financial shocks. High-Performance Work Systems (HPWSs) are increasingly regarded as essential tools for enhancing organizational resilience, although clear evidence of their effectiveness remains limited. Based on the Job Demands–Resources (JD–R) model, this study investigates how HPWS practices act as organizational resources that enhance employee skills, engagement, and adaptability, ultimately supporting organizational resilience. A cross-sectional research design was used, involving 206 employees from commercial banks in Dar es Salaam and Mwanza. Data collection included structured questionnaires, key informant interviews, and focus group discussions to gather both quantitative and qualitative insights into HR practices, human capital development, and resilience outcomes. Quantitative data were analyzed using descriptive statistics, Pearson correlation, regression analysis, and marginal effects, while qualitative data were analyzed through content analysis. Findings show that HPWS practices such as job rotation, staff empowerment, and teamwork positively impact organizational resilience. Furthermore, human capital development through regular training, firm-specific skill improvement, and experiential learning significantly boosts employees’ adaptive capacity. Importantly, human capital heterogeneity, measured through performance-based systems, performance appraisals, and employee compensation, was found to enhance organizational flexibility and responsiveness to environmental uncertainties. The study shows that HPWS, when strategically combined with human capital management, act as systemic organizational resources that reduce the negative effects of job demands, boost motivation, and build both individual and collective resilience. These insights offer a well-supported, evidence-based framework for commercial banks and other fast-changing organizations aiming to improve their ability to anticipate, absorb, and adapt to disruptions.
Abstract: The ability of organizations to withstand and adapt to disruptions has become a crucial strategic focus, especially in the banking industry, which faces increased exposure to economic fluctuations, technological advances, and global financial shocks. High-Performance Work Systems (HPWSs) are increasingly regarded as essential tools for enhancing or...
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Research Article
Artificial Intelligence and Budgeting in Nigeria: Evaluating Fiscal Efficiency, Governance Challenges, and Strategic Development Implications in the Fourth Industrial Revolution
Ukpong Uwem Johnson*,
Otu Offiong Duke,
Bayo Prince Lekara,
Aborlo Kpakol,
Okon Unwana Ita,
Asian Uduak Iwok,
Etta Eugene Onor,
Ikobong Emmanson Obot,
Omonfoman Victoria Gregory,
Christiana Okon Umoren,
Unanam Wisdom Jimmy,
Edodi Hope Ukam
Issue:
Volume 14, Issue 3, September 2026
Pages:
57-73
Received:
15 June 2026
Accepted:
26 June 2026
Published:
28 July 2026
DOI:
10.11648/j.sjbm.20261403.12
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Views:
Abstract: This study examines the role of Artificial Intelligence (AI) in enhancing public financial management and budgeting systems, with particular emphasis on its implications for efficiency, transparency, accountability, and fiscal governance. The increasing complexity of government financial operations and the growing demand for evidence-based decision-making have created the need for innovative technological solutions capable of improving budgeting processes and resource allocation. The study adopts a qualitative approach based on an extensive review of scholarly literature, policy documents, institutional reports, and empirical studies relating to AI applications in public finance. The theoretical foundation of the study is anchored on the Technology Acceptance Model (TAM) and Public Choice Theory. TAM explains the factors influencing the adoption of AI technologies by public officials, while Public Choice Theory highlights how AI can reduce inefficiencies, corruption, and waste through automated monitoring and transparent decision-making mechanisms. Findings reveal that AI significantly improves budget forecasting, expenditure monitoring, fraud detection, financial reporting, and policy evaluation through the use of machine learning, predictive analytics, and intelligent automation. The study also identifies challenges such as inadequate digital infrastructure, cybersecurity risks, poor data quality, limited technical expertise, and resistance to organisational change. The study concludes that AI possesses substantial potential to transform public financial management by promoting fiscal discipline, strengthening accountability, and enhancing the effectiveness of budgeting systems. It recommends increased investment in digital infrastructure, human capacity development, data governance frameworks, cybersecurity measures, and ethical AI policies to ensure successful implementation. The study contributes to the growing body of knowledge on digital governance and provides practical insights for policymakers, public administrators, and development practitioners seeking to leverage AI for improved financial management and sustainable public sector performance.
Abstract: This study examines the role of Artificial Intelligence (AI) in enhancing public financial management and budgeting systems, with particular emphasis on its implications for efficiency, transparency, accountability, and fiscal governance. The increasing complexity of government financial operations and the growing demand for evidence-based decision...
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