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PurposeThis paper aims to understand the development track of skills mismatch research and discover the hidden internal connections between literature.Design/methodology/approachThe authors gathered data through scientometric quantitative analysis using CiteSpace. Specifically, this article applied basic analysis, journal cocitation analysis (JCA), author cocitation analysis (ACA) and document cocitation analysis (DCA), cluster analysis, citation burstness detection, scientific research cooperation analysis and coconcurrence analysis of keywords of 3,125 documents from Web of Science core collections for the period 2000–2020.FindingsThrough the document cocitation analysis and the keywords' co-occurrence, this article identifies influential scholars, documents, research institutions, journals and research hotspots in research on the skills mismatch phenomenon. The results showed that the publications had ballooned, and the phenomenon has become an interdisciplinary research subject. The USA and Finland remain the main contributors, which is attributed to their high-yield institutions such as the University of Helsinki, the University of Witwatersrand, the University of Washington and so on. While the African continent lacks research on skills mismatch even with the continent’s effort to overcome such a crucial issue. The paper presents an in-depth analysis of skills and educational mismatch issues to better understand the evolutionary trajectory of the collective knowledge over the past 20 years and highlight the areas of active pursuit.Research limitations/implicationsThe authors only used Web of Science core collection to collect data; however, they can added Scopus indexed database as well to extend the research trends and explore more new research hot topics to solve the skills mismatch phenomenon.Originality/valueThe scientometric analysis is of great significance for identifying the potential relationship between the literature and investigating the knowledge evolution of skills mismatch research. Organisation for Economic Co-operation and Development, the International Labor Organization and the World Health Organization are the giants who are mostly concerned of the mismatch skills phenomenon. Researchers can refer to this study to understand the status quo, gaps and research trends to deal with the skills mismatch issue.

Total Quality Management is a concept which any educational institution can attain through a variety of critical success factors. This concept is one of the steps necessary to maximize success in improving quality in higher education institutions. Hence, this qualitative study used a semi-structured interview, endeavors to identify and analyze some of the critical success factors which have significant impact in Moroccan public higher education institutions under the framework of Total Quality Management. As a result of in-depth semi-structured interviews with three experienced university professors in selected public universities in the economical capital city of Morocco, this study is contributing to the literature by empirically determining the critical success factors of the TQM mostly needed in the public higher education institutions. The findings of this study bring an understanding of how certain critical factors are perceived in the Moroccan public higher education context. In addition to expand the body of the current literature, the study findings also provide knowledge that can be used as a basis to address the management needs of quality in higher education institutions. In addition, this study is the first of its kind to be addressed in the Moroccan setting / North African region.

This study aimed to comprehend the patterns and scope of the education mismatch in the Moroccan labor market by collecting and analyzing an extensive database of the types of skills that fuel economic expansion and growth. A self-assessment approach was used to determine the extent of mismatch in Morocco by adopting the World Bank’s Skills Toward Employment and Productivity (STEP) survey, which applies mainly to low- and middle-income countries. The study sample consisted of 416 respondents who matched the stipulated criteria. Various statistical tests like the descriptive test, chi-square, and Spearman’s r coefficient were employed to determine the correlation between the three modules of the STEP program and demographic aspects of the respondents. Under the self-assessment approach, the results showed a preponderance of mismatched employees at 55.1%, while 44.9% were matched. The mismatch was found to be vertical. The findings imply that cognitive skills are statistically significant with the required job-specific skills. This is one of the few studies that address the skill mismatch in the North African region and the first to examine the Moroccan case.