Title: Formulating resource and capability configurations in complex contexts: a hybrid AHP-ANN approach for state-owned banks

Authors: Mochammad Ridwan Ristyawan; Utomo Sarjono Putro; Manahan Siallagan; Arwan Ahmad Khoiruddin

Addresses: School of Business and Management, Institut Teknologi Bandung, Bandung, Indonesia; Faculty of Economics and Business, Universitas Tanjungpura, Pontianak, Indonesia ' School of Business and Management, Institut Teknologi Bandung, Bandung, Indonesia ' School of Business and Management, Institut Teknologi Bandung, Bandung, Indonesia ' Mandatech Mataram Mukti Ltd., Yogyakarta, Indonesia

Abstract: The pressing challenges posed by environmental crises require banks to rapidly devise innovative strategies. These strategic developments must be synchronised with the establishment of resource and capability configurations. Nonetheless, banks have exhibited a delayed response in crafting these configurations, particularly in complex scenarios, such as the COVID-19 pandemic. This study seeks to create a decision support system (DSS) prototype that leverages a hybrid analytic hierarchy process-artificial neural network (AHP-ANN), to design resource and capability configurations. A case study methodology is adopted, concentrating on a state-owned bank in Indonesia and employing a quantitative approach to simulate the DSS. Data were gathered through a purposive sampling of 107 participants. This study delineated the resource and capability configurations vital for strategy execution, encompassing human capital, financial capital, effective corporate governance, risk management, international digital networks, information technology, and organisational agility. The DSS proved effective in facilitating prompt decision making amidst the uncertainties of complex situations.

Keywords: decision-making; management; bank; analytic hierarchy process; AHP; artificial neural network; ANN; resource; capability; decision support system; DSS; strategy; complex; preference judgment.

DOI: 10.1504/IJADS.2026.155063

International Journal of Applied Decision Sciences, 2026 Vol.19 No.4, pp.360 - 385

Received: 20 Feb 2025
Accepted: 21 Apr 2025
Published online: 25 Jul 2026 *

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