The impact of managerial change on team performance in professional sports

Human Resources Turnover as an Asset Acquisition, Accumulation and Divesture Process

“…This may not be that problematic since it has been argued in the literature that the distinction between quits and layoffs is unclear, e.g., when an employee expects to be fired, the fear of the associated stigma may motivate him to leave voluntarily. Moreover, some empirical evidence exists suggesting that this distinction may not be that important in the case of coach turnover in UK football (see Audas, Dobson & Goddard, 2002). A number of previous studies have examined empirically the links between coach turnover and sports performance with mixed results (e.g., see Audas et al, 2002;Bruinshoofd and ter Weel, 2003;Tena and Forest, 2007).…”

“…Moreover, some empirical evidence exists suggesting that this distinction may not be that important in the case of coach turnover in UK football (see Audas, Dobson & Goddard, 2002). A number of previous studies have examined empirically the links between coach turnover and sports performance with mixed results (e.g., see Audas et al, 2002;Bruinshoofd and ter Weel, 2003;Tena and Forest, 2007). Although some causality can be expected to run between performance on the field and shareholder wealth (see Pinnuck and Potter, 2006), the specific effect that turnover in coaches may have on club stock prices has not yet been studied.…”

Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer

“…The forecasts derived from the regression models considered in this paper are unlikely to directly benefit actors in the betting market, given that the return on investment from bets placed based on the derived probabilities is never above 1 with statistical significance. However, both the OLR models and the MLR models are ostensibly equally good choices for analysing a range of related situations, such as the competitive balance within a league (Koning, 2000), the impact of managerial changes (Audas et al, 2002), or the effect of playing on artificial turf (Hvattum, 2015).…”

“…Kuypers (2000) argued that ordinal regression makes sense, since match outcomes are naturally ordered, and therefore did not test any nonordered regression models. Ordered regression models have later been used for prediction of match results by Koning (2000), Forrest and Simmons (2000), Dobson and Goddard (2001, 2003, Audas, Dobson, and Goddard (2002), Goddard and Asimakopoulos (2004), Goddard (2005), Forrest, Goddard, and Simmons (2005), Graham and Stott (2008), Hvattum and Arntzen (2010), and Hvattum (2015). Some research has relied on the use of ordered regression models as a means to normalize bookmakers' odds, such as by Štrumbelj (2014, 2016).…”

The performance of football club managers: skill or luck?

“…However, the authors found this was not the case when they compared the performance of similar clubs who did not dismiss their manager, suggesting that in not sacking a manager, the results of a poorly performing club would have improved quicker. They conclude by stating that sacking a manager seems to be 'neither effective nor efficient in terms of improving team performance' (Bruinshoofd and ter Weel, 2003 A comprehensive study was conducted for English football by Audas et al (2002), where every UK Football League and Premier League game between the 1972/73 and 1999/00 seasons was examined to assess the impact of managerial change on team performance. A parametric model was constructed using the match results, which enabled the assessment of the short-term impact of managerial alterations.…”