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The purpose of this study is to apply the unified theory of acceptance and use of technology (UTAUT) model in the context of electronic library services in public Jordanian universities. This study investigated the determinants of use behaviour (UB) regarding electronic library services, and the moderating effects of age, gender, experience, education level and academic discipline on the relationships between the determinants and behavioural intention (BI).

Quantitative data were collected, through a questionnaire instrument from a sample of 575 students. Statistical analysis of the study’s model was conducted using the structural equation modelling technique.

Empirical examination of the model’s hypotheses indicated that students’ “intention to use” electronic library services is dependent on performance expectancy (PE), effort expectancy (EE) and social influence (SI), while students’ “use behaviour” is dependent on facilitating conditions (FCs) and intention to use. The effect of PE on BI was significant for younger, undergraduate and social sciences discipline students, while EE was significant for older and applied discipline students.

Library directors should design promotional campaigns directed to younger, undergraduate and social academic discipline studentsto promote the efficiency of electronic libraries. Faculty members can be targeted with these promotional campaigns to exert influence on the desired effect on students’ intentions toward using the electronic library. Easier-to-use technology and training courses for older and applied academic discipline students are necessary. It is important to ensure that the physical facilities and technical support provide students with needed assistance. Online help should be available.

This study empirically validated the UTAUT model in the context of electronic library services within an Arab culture. The study also investigated the moderating effects of students’ characteristics, including age, gender and experience, in addition to education level and academic discipline, as new affects.

This paper aims to systematically review the literature on digital supply chain (DSC), big data (BD) and manufacturing lead time (MLT) in industrial companies.

This study provides a systematic review of the 99 research on this subject that was published between 2015 and 2022. Studies were found in the Scopus database. This review also identifies gaps in the literature, highlights conflicting results, examines prospective data sources for empirical researchers and offers suggestions for choosing promising research subjects in the future.

This study performed a thorough literature review to a developing field of inquiry in order to identify the impact of the digital supply chain, BD and manufacturing lean time, an area that has received little attention in the literature. Future pathways and ramifications are also offered based on the literature content search. The results showed that BD improves DSC performance through resilience and innovation of the DSC. MLT and DSC integration were found to be positively correlated, according to the results.

Although the production lead time is preferable to boost customer value and supply reliability, the long lead time hurts the DSC’s ability to compete. DSC integration also improves coordination and streamlines processes. The researchers suggest fostering organizational flexibility, information exchange to accomplish DSC integration and adaptable behaviors including responsiveness and alertness.