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Bayesian approaches have been widely applied in construction management (CM) research due to their capacity to deal with uncertain and complicated problems. However, to date, there has been no systematic review of applications of Bayesian approaches in existing CM studies. This paper systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.

A total of 148 articles were retrieved for systematic review through two literature selection rounds.

Bayesian approaches have been widely applied to safety management and risk management. The Bayesian network (BN) was the most frequently employed Bayesian method. Elicitation from expert knowledge and case studies were the primary methods for BN development and validation, respectively. Prediction was the most popular type of reasoning with BNs. Research limitations in existing studies mainly related to not fully realizing the potential of Bayesian approaches in CM functional areas, over-reliance on expert knowledge for BN model development and lacking guides on BN model validation, together with pertinent recommendations for future research.

This systematic review contributes to providing a comprehensive understanding of the application of Bayesian approaches in CM research and highlights implications for future research and practice.

Based on substitutes for leadership theory, the aim of this study is to examine followers' learning goal orientation as a moderator of relationships among transformational leadership, organizational citizenship behavior (OCB) and sales productivity.

Data came from 61 food and beverage attendants of a casino, and were analyzed using regression analyses.

Transformational leadership was positively related to both OCB and sales productivity. Learning goal orientation moderated the relationship between transformational leadership and OCB, such that transformational leadership was more strongly related to OCB among followers with a low learning goal orientation than among followers with a high learning goal orientation.

Limitations of the study include the small sample size and cross‐sectional research design.

Organizations could train supervisors to practice a transformational leadership style and to take followers' learning goal orientation into account.

The findings of this study suggest that, with regard to OCB, a high learning goal orientation of followers may act as a “substitute” for low levels of leaders' transformational leadership.

This study aims to investigate the extent to which employee outcomes (anxiety/depression, bullying and workers’ compensation claims thoughts) are affected by shared perceptions of supervisor conflict management style (CMS). Further, this study aims to assess cross-level moderating effects of supervisor CMS climate on the positive association between relationship conflict and these outcomes.

Multilevel modeling was conducted using a sample of 401 employees nested in 69 workgroups.

High collaborating, low yielding and low forcing climates (positive supervisor climates) were associated with lower anxiety/depression, bullying and claim thoughts. Unexpectedly, the direction of moderation showed that the positive association between relationship conflict and anxiety/depression and bullying was stronger for positive supervisor CMS climates than for negative supervisor CMS climates (low collaborating, high yielding and high forcing). Nevertheless, these interactions revealed that positive supervisor climates were the most effective at reducing anxiety/depression and bullying when relationship conflict was low. For claim thoughts, positive supervisor CMS climates had the predicted stress-buffering effects.

Employees benefit from supervisors creating positive CMS climates when dealing with conflict as a third party, and intervening when conflict is low, when their intervention is more likely to minimize anxiety/depression and bullying.

By considering the unique perspective of employees’ shared perceptions of supervisor CMS, important implications for the span of influence of supervisor behavior on employee well-being have been indicated.

The purpose of this paper is to test a multilevel model of the main and mediating effects of supervisor conflict management style (SCMS) climate and procedural justice (PJ) climate on employee strain. It is hypothesized that workgroup-level climate induced by SCMS can fall into four types: collaborative climate, yielding climate, forcing climate, or avoiding climate; that these group-level perceptions will have differential effects on employee strain, and will be mediated by PJ climate.

Multilevel SEM was used to analyze data from 420 employees nested in 61 workgroups.

Workgroups that perceived high supervisor collaborating climate reported lower sleep disturbance, job dissatisfaction, and action-taking cognitions. Workgroups that perceived high supervisor yielding climate and high supervisor forcing climate reported higher anxiety/depression, sleep disturbance, job dissatisfaction, and action-taking cognitions. Results supported a PJ climate mediation model when supervisors’ behavior was reported to be collaborative and yielding.

The cross-sectional research design places limitations on conclusions about causality; thus, longitudinal studies are recommended.

Supervisor behavior in response to conflict may have far-reaching effects beyond those who are a party to the conflict. The more visible use of supervisor collaborative CMS may be beneficial.

The economic costs associated with workplace conflict may be reduced through the application of these findings.

By applying multilevel theory and analysis, we extend workplace conflict theory.

This study aims to identify factors that facilitate or inhibit middle managers' experience of uncertainty management during organizational change.

The approach is qualitative and involved interviews with 40 middle managers from a range of organizations.

Analysis revealed that at the pre‐implementation stage, uncertainty focused on the strategic concept of the change, whereas at implementation, uncertainty related to the appropriate procedures to implement. Middle managers’ uncertainty management was found to be important in assisting their employees in the change transition. The factors identified as being either facilitators or barriers to uncertainty management focused on themes related to the design of change, communication with both senior management and their own staff, support from senior management, role conflict, and peer interaction. A model was created to link facilitators and barriers with uncertainty to guide future research.

Implications for organizational change research along with practical implications are discussed.

This study provides insight into the positive contributions middle managers can make during change, along with suggesting what factors are facilitators or barriers to this positive role.

Groups’ perceptions of their supervisors’ conflict management styles (CMSs) can have important implications for well-being. Rather than being examined in isolation, supervisor CMSs need to be considered in the context of supervisors’ emotional ability and the amount of conflict in workgroups. This paper aims to investigate the three-way interactions between group-level perceptions of supervisor CMSs (collaborating, yielding, forcing), supervisor emotion recognition skills and group relationship conflict in predicting collective employee burnout.

Group-level hierarchical multiple regressions were conducted with 972 teaching professionals nested in 109 groups.

The positive association between supervisor yielding climate and collective employee burnout was evident when supervisor emotion recognition was low but absent when supervisor emotion recognition was high. Groups with high supervisor forcing climate and high supervisor emotion recognition experienced lower group burnout, an effect evident at high but not low relationship conflict.

Supervisors have a critical – and challenging – role to play in managing conflict among group members. The detrimental effects of supervisor yielding and forcing climates on collective employee burnout are moderated by personal (supervisor emotion recognition) and situational (the level of relationship conflict) variables. These findings have practical implications for how supervisors could be trained to handle conflict.

This research challenges traditional notions that supervisor yielding and forcing CMSs are universally detrimental to well-being.

The purpose of this paper is to study the relationship between network ties (NT) and transactive memory systems (TMS), observed through three dimensions – specialization (TMSS), credibility (TMSCR), and coordination (TMSCO) – in the presence of leadership (LDR) as a moderating variable, in university research-and-development (R&D) groups.

The data are composed of 257 university R&D groups. To confirm the hypotheses, the authors use multiple linear regression analysis with a moderating effect.

The conclusions show that the relationships between NT and two of the three dimensions of TMS (TMSCR and TMSCO) are significant when LDR is included as a moderating variable. Although the effect of TMSS is positive, it is not significant. Including the interaction element enables better explanation of two of the dimensions of TMS in the sector analyzed. Thus, LDR is perfectly applicable to the university R&D environment.

This research has several limitations that suggest further possibilities for empirical research. The limitations include the cross-sectional nature of the research and the judgment of a single manager as the basis of the perception analyzed for each group.

The authors provide several implications for R&D practitioners. The results of this study could be validated in other universities in other geographic areas, enabling better generalization and applicability of the results. The results described may serve as a guide for group leaders of university R&D. This research helps us to see the importance of LDR in forming internal research networks that help researchers to perform common projects in order to obtain better results in the group. Thus, the groups provided better results to society.

No studies have tested the moderating effect of LDR in university R&D empirically. The results provide information to fill this gap and demonstrate the applicability of LDR as a key element in the organization, improvement, and cohesion of R&D groups.