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The purpose of this paper is to gain insight into the extent that knowledge management (KM) is practiced by Islamic and conventional banks in the United Arab Emirates (UAE).

Following secondary research, structured in‐depth, qualitative interviews were conducted with CEOs, senior managers, and department heads of eight banks in the UAE.

Islamic banks in the UAE were found to be relatively more actively engaged in KM than conventional banks. However, both Islamic and conventional banks were found to be focused on knowledge capture, knowledge transfer, and knowledge sharing. Most of the banks in this study could be classified as being in the pre‐ or early implementation phase of KM. The study found scant knowledge‐based marketing taking place in either type of bank. None of the banks was found to have a dedicated knowledge champion (KM Officer). Similarly, none of the banks was identified as possessing a strong organization‐wide KM culture.

Cultural norms concerning privacy limited willingness to participate and information sharing. Although the sample was small, it was deemed reliable, as participants not only understood the importance of research to the development of the UAE, a country very keen to participate in the knowledge‐based economy, but they also held key positions in their banks which allowed them full knowledge of the scope of KM implementation, utilization, and practice in their organizations and they agreed to full disclosure and transparency in their responses. The implication of this research is that best practice in KM can be implemented in banks in the UAE once KM gaps are identified.

The banking sector is an important element of the UAE economy. Successful and appropriate implementation of KM practices in UAE banks may buttress the Emirati economy, especially during the current banking crisis. The insight gained from the initial findings of this research can assist KM implementation, utilization, and practice in UAE banks, thereby aiding organizations' learning and the development of a knowledge culture in banks which, in turn, may lead to increased productivity and gains in competitive advantage, growth, and profit.

Logistics service provider (LSP) selection involves multiple criteria, alternatives and decision makers. Group decision-making involves vagueness and uncertainty. This paper aims to propose a novel fuzzy method for assessing and selecting agile, resilient and sustainable LSP, taking care of the inconsistency and uncertainty in subjective group ratings.

Eighteen agile, resilient, operational, economic, environmental and social sustainability criteria were identified from the literature and discussion with experts. Interval-valued Fermatean fuzzy (IVFF) sets are more flexible and accurate for handling complex uncertainty, impreciseness and inconsistency in group ratings. The IVFF PIvot Pairwise RElative Criteria Importance Assessment Simplified (IVFF-PIPRECIAS) and IVFF weighted aggregated sum product assessment (IVFF-WASPAS) methods are applied to determine criteria weights and LSP evaluation, respectively.

Collaboration and partnership, range of services, capacity flexibility, geographic coverage, cost of service and environmental safeguard are found to have a greater influence on the LSP selection, as per this study. The LSP (L3) with the highest score (0.949) is the best agile, resilient and sustainable LSP in the manufacturing industry.

Hybrid IVFF-based PIPRECIAS and WASPAS methods are proposed for the selection of agile, resilient and sustainable LSP in the manufacturing industry.

The model can help supply chain managers in the manufacturing industry to easily adopt the hybrid model for agile, resilient and sustainable LSP selection.

The paper also contributes to the social sustainability of logistics workers.

To the best of the authors’ knowledge, IVFF-PIPRECIAS and IVFF-WASPAS methods are applied for the first time to select the best agile, resilient and sustainable LSP in a developing economy context.