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Work overload implies that there are excessive work demands that cannot be adequately fulfilled within the given deadlines. This research examines the effect of work overload on career outcomes, i.e. career satisfaction and occupational commitment through the mediating role of work frustration.

The data were collected from employees working in the schools of Punjab, Pakistan in three waves. Out of the total, 248 valid responses were analyzed by PROCESS model 4 using SPSS 24.

Based on affective event theory (AET) the results demonstrated that negative workplace events such as work overload create negative emotions like frustration at work and cause poor job outcomes (i.e. low satisfaction and commitment).

However, the outcomes should be interpreted in the light of single sector and time-lagged data tested on the mediation-only model.

The current study has implications for workload management in school staff to retain their career satisfaction and commitment.

This study has implications for society by offering to enhance the career outcomes of school staff that are prime institutions for socio-economic development.

This is one of the initial research studies that have examined the career-related outcomes of work overload based on AET via the mediating role of work frustration.

The purpose of this study is to examine the impact of the marketing mix, customer perceptions, and religion on the buying decision of Islamic banking products in an emerging market namely the United Arab Emirates (UAE).

This study adopts a quantitative approach to analyze the data of 435 respondents collected through an online survey during January–February 2022. Data analysis of direct and moderating relationships are done through Smart PLS (partial least squares) using structural equation modelling (SEM) technique.

The results indicate that marketing mix (product, price, place and promotion) and customer perceptions have a positive direct relation with the buying decision of Islamic banking products in the UAE. However, moderation analysis shows that religion is a non-significant moderator for the above relationships.

This study combines potential variables from the perspectives of marketing, human mindset, and individual beliefs. The findings of this study provide a wider understanding of consumer behavior toward Islamic banking products. Marketers of the Islamic banking industry can utilize these findings for effective market segmentation and well-crafted marketing strategies. This will ultimately contribute to the sustainable growth and development of the Islamic banking industry in the UAE and other regions.

This study aims to provide quantitative information on the research trends of international public sector accounting standards (IPSAS).

The study used bibliometric analysis to determine the research trends in IPSAS literature. The method was applied to papers indexed in the Scopus database to analyze the growth and publication trends of the selected papers. The research team rigorously compiled a list of keywords relevant to IPSAS after consultation with the principal researcher. The study did not apply document type, year or language filter. The search query resulted in 475 documents. The study used MS Access, Excel and Biblioshiny software for the data analysis and visualization.

The acceptance and application of IPSAS by many countries and UN system organizations have led to the rise in IPSAS literature globally. The study finds the USA to be the most productive country, with Italy, Spain and the UK as second, third and fourth, respectively. Similarly, the University of Zaragoza has produced the most publications in the field, followed by the University of Salerno and Ghent University.

This study provides the current state of IPSAS research globally; as a result, it supports the development of policies by the users of this standards. This information can inform the development or revision of public sector accounting policies and standards.

To the best of the authors’ knowledge, this is the first study that provides a bibliometric analysis of the growth and publication trends of IPSAS literature. The findings in this study uncover different areas of IPSAS research productivity globally.

The purpose of this paper is to determine the relationship between employee empowerment (structural empowerment [SE] and psychological empowerment [PE]), employee commitment (EC) and organizational citizenship behavior (OCB) within the unique context of a learning organization in the Indian retail sector.

The investigation was conducted using a survey-based questionnaire approach. Data were gathered from 222 frontline employees working in different retail stores in India. The researcher used AMOS 22.0 version and SPSS 22.0 version for the data analysis.

This study concluded that SE and PE have a positive and significant influence on OCB and EC. In addition, EC is a mediator between employee empowerment (SE and PE) and OCB.

This research is built on cross-sectional data with a limited sample size, that is, 222 sample size. This study also offers some practical insights to managers of retail stores.

To the best of authors’ knowledge, this study is the first to empirically investigate the mediating role of EC between SE and OCB. By focusing on the interplay of these variables within a learning organization, this study sheds light on the mechanisms driving employee behavior and organizational dynamics in this rapidly evolving retail sector.

This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan.

Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag.

Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization.

This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.