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This study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.

This study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.

The study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.

This research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.

The empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.

This study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.

The purpose of this review is to examine the current state-of-the-art in artificial intelligence (AI) implementations within library settings across Southeast Asia.

The study uses the AI Library Services Innovative Conceptual Framework (AI-LSICF) to evaluate the AI initiatives in Southeast Asian libraries. Sources include relevant libraries and association’s websites, mainstream newspapers across Southeast Asia, together with academic papers published between 2019 and 2024, with a focus solely on English-language literature.

Most of the Southeast Asian libraries are in the decision and implementation stages in utilising AI technologies into library operations. It is evident that most of the libraries have made the decision to embrace AI techniques in the workplace and have started to implement the AI-enabled applications. Nevertheless, those implementations are not yet comprehensive and most of the projects are still in the trial stage. This suggests a unanimous decision concerning the use of AI in the libraries across the region has not been reached. Librarians may still face challenges and concerns in adopting AI, including resource constraints, application maintenance, staff reluctance, staff training, data security concerns and more.

A limitation of this study is its focus on completed and published projects, due to limited access to ongoing or unpublished initiatives. Non-English publications were excluded which may have omitted relevant studies and insights from non-English-speaking countries.

This paper seeks to address the gap by conducting a review of the current landscape of AI applications within libraries across Southeast Asia. Its aim to provide valuable insights for Southeast Asian libraries which seek to leverage AI advancements, ultimately supporting more user-centric and technologically adept library services.

The originality of this paper lies in its unique perspectives on library settings in Southeast Asia, showcasing successful projects while also pinpointing areas and countries in need of further development.