Common method bias in hospitality research: A critical review of literature and an empirical study

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An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “For example, whereas Min et al. (2016) empirically demonstrate the deleterious effect of common method variance on structural model parameter estimates (also see Gould et al., 2011), Fuller et al.’s (2016) simulation study shows that common method variance only induces significant parameter biases…”
The impact of job insecurity on critical hotel employee outcomes: The mediating role of self-efficacy (2018, unknown): “Lastly, unlike the preponderance of the studies in the current hospitality research (e.g., Min et al., 2016), we used a time-lagged sample of CCEs and multiple sources of data simultaneously to decrease the risk of common method variance.”
Impact of service climate and psychological capital on employee engagement: The role of organizational hierarchy (2018, methodology): “Using multiple statistical controls such as combining Harman’s single-factor test and an unmeasured latent method factor or conducting the CFA market technique is also recommended to hospitality researchers to control the impact of CMV (Min et al., 2016).”