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India's Muslim women (MW) face significant underrepresentation within the government and commercial sectors, rendering them virtually invisible in the job market. This underrepresentation is compounded by the double stigma of being both Muslim and female. As a result, this study aims to address this critical issue by looking into MW's intention to work in the industry of tourism and hospitality (T&H).

A survey was conducted online to gather data and 404 of the responses met the requirements for selection. The research model was empirically assessed by applying structural equation modelling. The data collection phase spanned from August 11, 2023, to November 10, 2023.

The study's findings demonstrate the effectiveness of the extended theory of planned behaviour in providing a robust model for analysing MW's intentions to participate in the T&H industry.

This research discloses inclusive policies, reduces discrimination, empowers women in the workforce, improves educational opportunities, promotes cultural sensitivity and fosters inclusive leadership in the T&H industry, focusing on MW career intentions, to achieve Sustainable Development Goal 5 (gender equality).

The importance of this study is contingent upon its ability to inform policymakers in academia and the T&H sector. By recognising and addressing the barriers faced by MW, it has the potential to foster a workplace environment that promotes equality and eliminates discrimination, ultimately improving the image of the T&H industry and harnessing the untapped potential of these women in India.

Following a crucial COVID-19 pandemic lockdown, the coronavirus has affected every academic institution, particularly libraries and information centres. To address this unprecedented scenario, libraries’ staff has decided to provide their services via digital access while staying close to the users. To predict users’ intention to use digital libraries after COVID-19, the authors combined the technology acceptance model (TAM), the theory of planned behaviour (TPB) and perceived risk.

Data were collected via a paper-based questionnaire using a convenient sampling method which was distributed at two major libraries; Maulana Azad Library, Aligarh Muslim University and Dr Zakir Husain Library, Jamia Millia Islamia in India.

Empirical findings suggested that all the proposed hypotheses were supported, and the integrated model had strong explanation power as the proposed model explained a 74.5% variance in users’ intention to use digital libraries after COVID-19.

This study offers substantial information to librarians, digital libraries, universities, institutes and other stakeholders and sheds light on the potential for a developing nation to transition to an economy with a strong digital infrastructure. The scope of the study is constrained to the users in India only, hence, leading to the possibility that it may be challenging to generalize the findings.

According to the best of the authors’ knowledge, it is one of the few studies to predict users’ intentions for using digital libraries after COVID-19 by applying the integrated model of TPB and TAM in an emerging economy. It helped understand the users’ attitudes towards using the digital services and resources available at the respective libraries. It also contributed considerably to the argument that users have grown accustomed to harnessing digital libraries during the post-COVID-19 period.