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The paper aims to revisit the debate on the priorities of football clubs in talent hiring with respect to maximizing sporting performance or economic profitability. Based on the degree of media exposure of the clubs, we examine whether the clubs’ objectives include, in addition to the classic twofold choice, the aspiration of club managers to gain popularity through media exposure.

This paper applies structural equation modelling (path analysis) techniques to re-examine what is the more realistic description of football club owners’ decisions when hiring talent. Our database comprises teams from the first division of four top European football leagues: 80 observations per season during the pre-COVID period spanning from 2009/10 to 2017/18.

The results suggest that, when recruiting players, in addition to considering the two classic objectives (wins and profits), club owners also seem to aim expanding the media exposure and popularity of their clubs. Our study reveals that, to explain talent-hiring decisions in football, the ability to attract media attention is as crucial as sporting performance could be. Furthermore, by examining the direct, indirect and total effects on annual revenue, we found that our media visibility index performs a mediation effect connecting sports performance and revenue.

An innovative feature of our analysis is the use of the MERIT media visibility index, which jointly captures the on-field and off-field players’ skills. The consistency and robustness of the results derive from the various specifications of the estimated models.

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.