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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.

Mental health problems are a grave concern in construction. Although the distinction between high job demands and low job resources, as reflected in the Job Demands-Resources (JD–R) model, has been used to examine the extent to which psychosocial hazards influence mental health for construction practitioners, limited research has reflected on the nature of these psychosocial hazards by exploring experiences of site-based construction practitioners.

This study adopted a phenomenological approach to examine people’ experiences and thoughts of the complex phenomena of psychosocial hazards and mental health in construction. In total, 33 semi-structured interviews were undertaken with site-based construction practitioners in Australia to unveil construction-focused psychosocial hazards and their effects on mental health. The data were analysed via content analysis, employing an interpretation-focused coding strategy to code text and an individual-based sorting strategy to cluster codes.

Eighteen psychosocial hazards were identified based on the JD–R model. Six of these represented a new contribution, describing salient characteristics inherent to the construction context (i.e. safety concerns, exposure to traumatic events, job insecurity, task interdependency, client demand and contract pressure). Of particular importance, a number of interrelationships among psychosocial hazards emerged.

The significance of this qualitative research lies in elucidating psychosocial hazards and their complex interrelatedness in the context of the mental health of construction practitioners, enriching the understanding of this central health and safety issue in the high-risk setting of construction work. The findings contribute to addressing mental health issues in the Australian construction industry by identifying higher order control measures, thereby creating a mentally healthy workplace.

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.

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.

Purpose – I extend the discourse regarding The Days of Wine and Roses (TDoWaR) as an Alcoholics Anonymous (A.A.) film in particular and analyses of A.A. films in general and provide a symbolic interactionist reading of TDoWaR as involving compliance dramas.

Design/methodology/approach – Borrowing from Norman Denzin's notion of a subversive reading of films, in which the author attends to the literal content of a text from a predefined perspective, I deal with the characters as if they create and maintain aligned and congruent actions that authors can analyze as conversational and interactional content. My main interest, drawing upon symbolic interactionist conceptualization and previous reviews of TDoWaR, involves the decisions made by characters to imbibe against their better judgment.

Findings – I detected four dramas (foreshadowed, evocative, profane, and complementary) that differed in interactional intensity and consequences. Each involves mutual decision making associated with self-definition and definition of the relationships. I also locate the dramas in the context of moral themes of an A. A. Film, specifically an epiphany, a categorical commitment to sobriety, an ongoing life cycle of recovery, and synchronicity.

Originality/value – Compliance dramas involve decisions to engage in ordinary activity (in this case, drinking) that becomes nonordinary, owing to semiotic, situational, historical, and interactional dynamics. The chapter can encourage thinking about alcoholism and alcoholic films as involving a moral career of a recovering alcoholic that sometimes must involve sacrifice of other prestigious moral careers (e.g., of a romantic relationship) in order to maintain the authenticity of the identity.

To convey the findings of an investigation into the relationship between poetry and business thinking, which began with the hypothesis that regular reading and analysis of poetry and its levels of meaning, subtle verbal and nonverbal contextual nuances, emotional content, and required associative thinking will help people deal with ambiguity, delay closure on decisions, and result in more systemic thinking and in better business decisions.

The research and workshops indicate that reading poetry can expand thinking space by enhancing associative thinking and access to preconceptual areas.

The findings are based on extensive interdisciplinary research and a small number of seminars and workshops. No formal studies have yet been conducted.

This provides a way to open thinking spaces that may be often unused by the business strategist, and that can lead to better decisions. By focusing on how executives can refine their thinking abilities to take them beyond the ordinary limits of cause‐and‐effect approaches, encourages the application of those radical judgments that can help differentiate one organization from another.

The authors believe they are the first to explore this relationship between reading poetry and business thinking.

Because of its effectiveness, process mining is rapidly becoming ubiquitous. A recent IBM Institute for Business Value (IBV) survey found that 65 percent of organizations report actively using process mining to improve processes. And in partnership with software-as-a-service (SaaS) providers to add even greater insight into their processes, 69 percent compare their organization’s data with other SaaS customers. And as many as 77 percent of supply chain executives say they are at least at the implementation stage of process and task mining.

The IBM Institute for Business Value and APQC, in cooperation with Oxford Economics, surveyed 2,000 C-level executives in first half of 2022 from 13 countries in all major geographies and across 22 industries. The IBV and APQC implemented an in-depth analysis of how organizations use benchmarking and process mining tools, the benefits they gain from use of these tools and how they anticipate using them in the future.

Big data and digital technologies also creates new possibilities for measuring performance and revealing process improvement opportunities through process mining ? a relatively new discipline that applies data science to discover, validate and improve workflows in real time.

By utilizing data from IT systems to create a process model and then examining the end-to-end process, process mining enables root causes of variations from norms to be identified using specialized algorithms, and these insights enable management to see if processes are functioning as intended and identify new opportunities to optimize them.

More recently, the scope of process mining initiatives has widened to encompass more sophisticated mission-critical functions, notably human capital, cybersecurity and sales. Organizations that embrace process mining outperform others across key business measures, including profitability, innovation, agility, customer satisfaction and technological sophistication. 10;

This paper aims to examine the impact of using digitized objects for inquiry with middle-school classrooms. Research analyzed critical thinking processes and student engagement during collaborative investigations with 3D models of authentic objects.

Digitized objects were 3D scans of fossils from the paleontology collection at the Natural History Museum of Utah implemented as 3D prints and 3D virtual models. Verbal protocol analysis examined critical thinking processes during collaborative student learning. Engagement was assessed via student feedback and a classroom observation protocol.

The findings demonstrated that digitized objects facilitated key critical thinking processes, particularly observation, problem finding, elaboration and evaluation. Student feedback was very positive and focused on strong interest in 3D technologies and the ability to engage in authentic exploration. Observations showed very high levels of on-task engagement.

Additional research is necessary to determine if findings generalize across varied learner populations, including broader age ranges and socioeconomic samples, to activities implemented as fully online experiences and to digitized objects from varied domains.

Findings demonstrate digitized objects are effective methods to engage students in critical thinking and to promote engagement with authentic objects during classroom learning. Results demonstrate strong potential of new technologies to leverage the educational impact of digitized objects from local collections, setting the stage for expanded educational outreach by museums and libraries.

This study aims to investigate how companies’ understanding of the business network influences the creation of value in business-to-business relationships. The authors do this by analysing dimensions in actors’ “network pictures” and illustrating how value perception and network understanding influence actors’ mutual effort to create value. Approaching relationship value from the point of actors’ cognitive understanding of their business network has so far been largely overlooked in relationship value research.

This study applies a qualitative case study methodology whereby dyadic data from a well-established business-to-business relationship is collected from 18 company representatives through personal interviews and group interviews supplemented by participant observations and company data.

The findings contribute with new insight into how companies’ understanding of their surrounding network influence (facilitates or limits) relationship value creation. The authors find that companies continuously reflect on changes in their networks and the related changes in partners’ value perceptions. Through value articulations, companies seek to explicitly express their value perception. Value reflections and value articulations create a dynamic process formed not only by the individual actor but also through their relationship and engagement in their network environment. This requires companies to develop their networking capabilities.

This paper presents findings, insights and contributions limited to a case study of a particular business relationship within an industrial setting. Although the findings and contributions are valid and in line with the criteria for rigorous qualitative research, the authors advocate and call for additional studies that investigate relationships value creation and address the interplay between actors’ network understanding and their actions and behaviour. One way to approach this would be to test the four propositions derived and presented as part of the present study.

The findings imply that management needs to be aware not only of the value created and delivered to a specific partner but also of how the partner’s understanding of the wider network will influence the value delivering and capturing process.

This study contributes to the growing literature on relationship value creation by outlining a dynamic process where relationship partners reflect upon and articulate value. Such activities are influenced by the partners’ network understanding and form the basis of the mutual relationship value creation effort. The findings also contribute to the network pictures literature by emphasizing insights into the formation of value perceptions through actors’ understanding of their surrounding networks.