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The aim of this study is to explore whether there are statistically significant differences in the influence that various career‐choice factors may have on a decision to choose accounting and non‐accounting majors in Iran. The findings derived from this study could assist accounting educators and professional accounting bodies to understand the reasons why students may want to choose an accounting major. In this regard, the findings could help accounting academics and the policy makers in the accounting sector in Iran and in other similar countries develop appropriate strategies to attract proper students into the accounting programs and to recruit bright accounting graduates into the accounting profession.

At the univariate level, t‐tests of significant differences were performed in order to investigate the similarities and differences between the accounting and non‐accounting students with respect to the importance placed on the career‐choice factors. At the multivariate level, discriminant analysis was conducted in order to find out the important determinants of the choice of an accounting major. Moreover, t‐test and ANOVA statistics were employed in order to explore whether differences in gender, age, and university affect each factor.

The results reveal that the accounting students attach profound importance to financial and job‐market factors and opinions of referents. Intrinsic factors, aptitude for and genuine interest in the subject, perception of the accounting course, and perception of the accounting profession are not found to have significant influence on students’ decision to major in accounting.

This study is unique in that it is the first empirical paper which explores Iranian students’ perceptions of the career‐choice factors in pursuing an accounting major.

The purpose of this paper is to perform a meta-bibliometric analysis of the banking service quality and to provide various research streams. Another goal is to provide future research questions to explore these areas in more detail.

The authors used three major academic databases (Scopus, ProQuest and EBSCO) from 1980–2021 and found 226 papers, where they performed the meta-bibliometric analysis by performing co-citation analysis, co-authorship analysis, cartographic analysis and content analysis.

The SERVQUAL model is the most used conceptual framework and model to study banking service quality. Structural equation modeling (SEM), followed by partial least squares SEM, is a majorly used method. There are three research streams in the literature: retail banking service quality, internet banking service quality and mobile banking service quality. Retail banking is the most studied stream, whereas mobile banking is the least studied stream. The study on banking service quality was initially conducted in developed markets, and later in emerging markets. All three streams have scope for further exploration, and hence, 44 future research questions have also been proposed.

This study has implications for bank managers, academicians and future researchers.

This study is unique in that it examines the meta-bibliometric dimensions of banking service quality and provides directions for future research for academicians and researchers.