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This chapter reviews the methods available to hospitality and tourism researchers to perform moderation analysis with continuous variables in partial least squares structural equation modeling (PLS-SEM), with the objective of enhancing understanding and encouraging the use of these techniques in future papers. The product term method is presented first, followed by an empirical example/application in the context of hospitality and tourism. Two extensions, namely the two-stage approach that can help cope with formative and higher-order constructs, and the orthogonalizing approach that can help generate more accurate results and overcome multicollinearity among tourism variables in the presence of a continuous moderator variable, are then presented and discussed. The chapter concludes by presenting guidelines and recommendations for improving the use of interaction effects in analyses of tourism variables, as well as highlighting ongoing developments in both the product term method and PLS-SEM software.

This chapter combines quantitative studies of the connections between stressors and performance in accounting settings and identifies the mediators and moderators of stressors–performance relationships. Using meta-analyses and path analyses, this research compiles 72 studies to investigate the relationships of stressors with accountant and auditor performance. As hypothesized, bivariate meta-analyses results indicate that work-related stressors negatively affect performance, and burnout and stress are negatively related to performance, whereas motivation is positively related to performance. Moreover, a meta-analytical structural equation modeling indicates that role stressors have significant direct and indirect effects (through burnout and stress) on job performance. Accumulation of multiple samples through meta-analysis bolsters statistical power compared to single-sample studies and thus reveals the sign of residual direct effects of role stressors on job performance in accounting settings.

Purpose – The purpose of this chapter is to present a subset of seven statistical and methodological myths and urban legends (SMMULs). When present, SMMULs degrade the overall research process and make manuscript evaluation problematic during the review process. SMMULs covered here included those pertaining to accepting the theoretical model, conventional cutoff values, exploratory factor analysis, common method bias, moderation analysis, Baron and Kenny's four-step mediation test, and permitting correlated item residuals.

Design/Methodology – Given that the details underlying the SMMULs have already been published, the present chapter was a summary of each. The summaries presented the urban legend and sources for it. Subsequently, the kernel of truth underlying the SMMUL was presented, and how this truth may have been lost and distorted. Each summary ends with the recommended “good” practices as presented by the original authors.

Findings/Implications – The implication for researchers is to modify their current practices to strengthen their research and to make better inferences. And for editors and reviewers, the implication is to develop accurate decision rules to strengthen the review process.

Originality/Value – The overall value of the chapter is to improve the research process in general.

We searched JM from 1990 to 2005 to identify all studies that employed OLS regression.¹ The search resulted in 83 articles with 147 OLS regressions. Many authors specifically state that they used OLS and these were promptly included in the sample. Other authors acknowledged regression as a methodological procedure without explicitly specifying an estimation technique. To inquire whether OLS was used, we communicated with all of these authors. In all, 51 authors were contacted, with 44 responding. Of the 44 that responded 43 had used OLS; the only exception was subsequently excluded from the analysis. The remaining seven articles were checked once more, and consensus was reached that OLS had most likely been used. Therefore, they were also included in the study.

We explore the simultaneous influence of activist organizations and corporations on institutional change. Focusing on protests, campaign contributions, and lobbyists as the strategies used by activist organizations and corporations to influence institutional change, we study the dynamics between movements and counter-movements and their influence on the probability of institutional change. In the context of the US tobacco industry, the results shed light on the effectiveness of these strategies and uncover potential moderators of this relationship. Overall, we demonstrate the simultaneous and asymmetric effects of activist organizations and corporations that use conspicuous and inconspicuous strategies to change institutions.

We conduct an experiment to examine the occurrence of the bystander effect on willingness to report a fraudulent act. Specifically, we investigate the impact of evidence strength on managers’ decisions to blow the whistle in the presence and absence of other employees who have knowledge of the wrongdoing. Results indicate that when there is strong evidence indicating a fraudulent act, individuals with sole knowledge are more likely to report than when others are aware of the fraudulent act (the bystander effect). However, the bystander effect is not found when evidence of fraud is weak. Further, a mediated moderation analysis indicates that perceived personal responsibility to report mediates the relation between others’ awareness of the questionable act and reporting likelihood, suggesting that the bystander effect is driven by diffusion of responsibility. Our results have implications for all types of organizations that wish to mitigate the detrimental effect of fraud. Specifically, training or incentives may be necessary to overcome the bystander effect in an organization.

Researchers and practitioners recognize whistleblowers and the media as disparate control agents to uncover fraud and corruption in and by organizations. However, whistleblowing is mainly studied in relation to individual and organizational antecedents. Social norms and in particular the media as a form of social norm influence or norm conveyer on whistleblowing are largely unexplored. In this paper, I study the influence of perceived critical media coverage (i.e., whether media are perceived as criticizing fraud and corruption) on whistleblowing intentions (WBI) on fraud and corruption. I draw on norm activation theory to develop a moderation-mediation model of whistleblowing to highlight how the media can convey social norms influencing WBI. Using a cross-national survey of employees from China, Germany, and Russia (n = 1,159), I hypothesize and find that media directly influence employee attitudes toward fraud and corruption as well as the likelihood to whistle blow. Critical media coverage also reduces the influence of descriptive norms by co-worker misconduct on attitudes and the negative influence of fear of retaliation on WBI. This paper is the first to highlight the importance of critical mass media on whistleblowing decisions. My findings suggest that the media influence potential whistleblowers in a way that can be described along the lines of “I report if they report.”