Lean Six Sigma for reducing student dropouts in higher education–an exploratory study

Sandeep Kumar Gupta, Jiju Antony, Fabian Lacher, Jacqueline Douglas

    Research output: Contribution to journalArticlepeer-review

    32 Scopus citations

    Abstract

    This paper investigates the potential causes behind student dropouts in higher education institutions (HEIs), and explores the use of Lean Six Sigma (LSS) tools in reducing dropout rates. This qualitative study used 12 semi-structured interviews with university employees (n = 9) and LSS experts (n = 3), in order to understand the complexity of the student dropout phenomenon and the role of various LSS tools in reducing the dropout rates. Analysis revealed that in order to develop a typology of student dropouts, HEIs have to maintain detailed records and sensitise relevant authorities about the impact of a student’s dropout decision. Though the small number of semi-structured interviews is a limitation of the study, the revelations of HEIs authorities and LSS experts have given new impetus to look at and take action on the issue of student dropouts in HEIs.

    Original languageBritish English
    Pages (from-to)178-193
    Number of pages16
    JournalTotal Quality Management and Business Excellence
    Volume31
    Issue number1-2
    DOIs
    StatePublished - 2 Jan 2020

    Keywords

    • DMAIC
    • higher education
    • Lean
    • Lean Six Sigma
    • Six Sigma
    • student dropout rates

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