PurposeThe purpose of this paper is to present previous studies and reports which have shown that most school buildings in the USA suffer from inadequate physical conditions. As American school buildings become “older”, it is essential for every school district to have an effective facilities maintenance management plan of its facilities. Therefore, the main purpose of this study is to identify and analyze how facilities maintenance is planned, managed and carried out by large public schools in the State of Texas, USA.Design/methodology/approachGuidelines taken from the literature drove the development of a survey questionnaire, which was sent to 320 school facilities managers from four major metropolitan areas in Texas. Elementary, middle and high schools with enrollments of 750 students or more were selected from the Texas Education Agency's web site. The responses were received in a secure database established at an online web site, where participants' identities were kept confidential.FindingsThe overall findings of this research indicate a poor quality of facilities maintenance management practices exists in large public schools in Texas. Nevertheless, the study also found that schools following the guidelines set by the US Department of Education tend to have comparatively more detailed and contemporary information about their facility's condition. As a result, these schools are able to predict the projected needs of the school, including its maintenance needs.Originality/valueThe results of this study can be adapted and used by any public school that would like to provide high‐quality school facilities for healthy and supportive teaching and learning environments.

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This study explores predictors of female project managers' salary in the construction industry and analyzes the relationship between salaries and specific variables.Although prior research indicates a relationship does exist between certain variables and women's salaries that research does not focus on the construction industry. This research sought to identify correlations between experience, age, marital status, motherhood, having children at home, and the number of children at home, and female project manager's salaries in the construction industry. To our knowledge, this study represents the only research of its kind specific to women project managers in the U.S. construction industry. Utilizing a snowball sampling method, 206 survey responses were collected and analyzed through comprehensive descriptive and statistical analyses. A regression model was constructed to determine the predictive power of the variables studied. Fifty percent of the variability in female project manager's salary can be accounted for by the model produced. The study's sample showed that, being married and having children at home are negatively correlated with female project managers' salaries. As would be expected, age and experience are also correlated and the correlation is strongly positive.

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