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The purpose of this study Artificial intelligence (AI) is one of the important emerging trends in information technology and is slowly being implemented in libraries. The researchers have presented a brief strengths, weaknesses, opportunities and threats (SWOT) analysis of the application of AI in Pakistani university libraries.

This study uses an ethnographic approach for data retrieval. Five chief librarians were interviewed by phone, during which they were asked to identify one key strength, weakness, opportunity and threat in terms of introducing AI technologies. The researchers have used a standard SWOT matrix to report the respondents’ comments.

AI is already slowly being introduced into Pakistani university libraries. While commenting on ways in which AI could help their libraries deliver more innovative services and better meet user needs, respondents expressed concern about the investment required in funding, time and staff.

Further study is indicated to identify existing AI implementations in Pakistani university libraries and to assess relevant library users’ perspectives. This study is limited to brief, qualitative data; its main purpose is to validate the use of a SWOT analysis.

Given that AI-based tools are already being used in libraries to some degree regardless of location, now is an opportune time to develop strategies for implementing AI technologies more widely. A SWOT analysis can be used to identify and categorize challenges and risks specific to AI in a logical way to support strategic decision-making.

To date, no SWOT analysis has been conducted in the context of AI applications in libraries, let alone specifically university libraries in Pakistan.

This article aims to analyse the trait emotional intelligence (TEI) of business students of various programmes. This study aims to answer the question, to what extent these future leaders are uniformly equipped with essential emotional intelligence competences, necessary in the VUCA world.

The Trait Emotional Intelligence Questionnaire (TEIQue) was used to measure TEI of 120 business students. Spearman's and Tau–Kendall's rank correlation coefficients show the strength of the correlation between age and TEI level. The non-parametric Mann–Whitney U test was employed to evaluate the consistency of TEI-level distributions in selected subgroups of respondents.

Future business leaders and management specialists are unequally prepared to manage teams and organizational change effectively. Their TEI distribution is significantly different regarding the type of programme of study. Students of “social fields” (Management, Communication and Psychology in Business) show higher TEI than students of “analytical fields” (Economics, Finance and Accounting, Logistics). Master's students are characterized by higher TEI compared to undergraduates. However, there were no statistically significant differences in TEI between: full-time and part-time, female and male, as well as working and non-working students.

The results provide valuable guidance for organizations recruiting junior managers and for business universities.

This research was based on a well-established concept of emotional intelligence using a reliable research tool. The obtained results complement the existing research on TEI of various professional groups and provide a precious reference point for future, more in-depth analyses of TEI.