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Organizational practitioners must often interpret accounts of workplace bullying. However, they are frequently reluctant to confirm the target's account and often fail to set effective intervention measures. Building on novel approaches in attribution theory, this study explores how causal explanations and blame pattern shape the labelling of a complaint and the subsequent recommended intervention measures.

187 Austrian human resource professionals, employee representatives and other practitioners were confronted with a fictional workplace bullying complaint including conflicting actors' accounts and diverse possible internal, relational and external causes. Since the prior low performance of a target might affect blame attributions, the previous performance ratings of the target were manipulated. Data were analysed via qualitative content analysis.

When respondents reject the complaint, they predominately identify single internal causes and blame the target, and/or trivialize the complaint as “normal conflict”. Both low and high performance of the target trigger (single) internal blame. When the complaint is supported, deontic statements and blame attributions against the perpetrator prevail; however, blame placed on the perpetrator is often discounted via multi-blame attributions towards supervisors, colleagues and the target. Structural causes were rarely mentioned. Relational attributions are infrequent and often used to trivialize the complaint. Irrespective of the attributional blame patterns, most third parties recommend “reconciliatory measures” (e.g. mediation) between the actors.

Trainings to temper single internal blaming and raise awareness of organizational intervention measures are essential.

This is the first study to investigate workplace bullying blaming patterns and organizational responses in detail.

This article develops a theoretical framework to investigate the interaction and coordination of decision‐making processes in a supply chain with multiple and inter‐dependent suppliers and customers.

The paper presents three longitudinal case studies on the decision coordination processes between a European toy supplier and three retailers.

The case studies found different mental models, decision‐making behaviours, coordination behaviours and ordering behaviours even though the toy supplier and the three retailers observed quite the same material flow behaviours. The study found explanations for these diverse behaviours by analysing the mental models and decision‐making behaviours of each involved party.

The findings explain the conditions which lead to undesirable mental models and decision‐making behaviours which affect the coordination of decisions among supply chain members.

This study aims to examine the predictors of microbrewery consumers’ intentions to visit microbreweries using an extended theory of planned behavior (TPB) and to assess the gaps between attribute importance and performance by performing importance-performance analysis (IPA) on the beerscape measure.

A self-administered questionnaire was administered to visitors of microbreweries within a southern US state. A total of 200 responses were selected based on completion and were analyzed using structural equation modeling and an IPA analysis.

Self-identity, attitude and perceived behavioral controls were found to be significant predictors of microbrewery consumers’ intentions. The subjective norm was insignificant following the addition of self-identity. Furthermore, the beerscape was not a significant predictor of microbrewery consumers’ attitudes. The IPA found that microbreweries should improve beer value, beer cost, variety of beers and the embodiment of local culture in the atmosphere.

To the researcher’s knowledge, this is the first quantitative study to successfully apply the TPB framework and develop the beerscape in the microbrewery context. The results of this study provide useful information to microbrewery owners and operators, which ultimately helps them serve their consumers more effectively.

Since health behaviors of elderly Asian Americans are often underreported, the study, based on the health behavioral model (Andersen’s model), was to examine if there is a reciprocal relationship between healthcare utilization and health outcomes, and how social characteristics play their role in this relationship between US-born and foreign-born elderly Asian Americans.

Using structural equation modeling, this research examined the proposed hypotheses which consisted of direct and indirect effects among health outcomes, healthcare utilization and social characteristics, as well as the disparities of the effects between US-born and foreign-born elderly Asian Americans (65 + ). A sample size of elderly Asian Americans was divided into a US-born group (N = 1,305) and a foreign-born group (N = 4,902) from the National Health Interview Survey (NHIS) 1998–2012. Health outcomes consisted of current health status and health change. Healthcare utilization included general doctor visit, ER, and mental health professional visit. Social characteristics of population included predisposing characteristics (such as age, sex, marital status, and region of residency) and enabling resources (such as education, family size, and family income).

Results from the study indicated that first, there was a reciprocal relationship between health outcomes and healthcare utilization for both groups. Second, predisposing characteristics had a direct effect on health outcomes, and enabling resources had an indirect effect on health outcomes via healthcare utilization. In addition, living in the West had both direct and indirect effects on health outcomes. Third, regarding disparities of the effects between both groups, the US-born elderly are more likely to attain health benefits from healthcare utilization and their social characteristics than the foreign-born. As a result, the interactive relationship between health outcomes, healthcare utilization, and social characteristics, as well as disparities of healthcare outcomes through health utilization and social characteristics for elderly Asian Americans is highlighted.

First, due to the design of NHIS, this research was limited to fully present the needs and more characteristics of elderly Asian Americans. This shows the great need for a large scale, representative study for health behaviors of elderly Asian Americans. Second, in the dataset, the study was limited to explore health behaviors of elderly Asian Americans into each Asian ethnic subgroup. Since the culture of Asian Americans is heterogeneous, it is recommended that future research can explore differences and commonalities of the health behaviors between Asian subgroups. Third, based on the health behavioral model and the design of the dataset, this study was limited to illustrate variations of life experiences between both groups. These differences regarding their needs and desires for healthcare services and health outcomes can become an important foundation for service providers and policy makers to provide appropriate services that improve the quality of the later lives of elderly Asian Americans.

First, the study applied the health behavioral model and proved that the effect of healthcare utilization and social characteristics on health outcomes is greater for the US-born elderly Asian Americans than for the foreign-born. Second, this study confirmed that the healthcare services in US society are still beneficial for the health outcomes of elderly Asian Americans. Third, the study found that when family is used to explain the social behaviors of elderly Asian Americans, researchers need to be more careful to identify various family factors in accordance to its dynamics, such as interpersonal relationship, material supply, and emotional support.

This paper seeks to review current approaches to learning from health and safety incidents in the workplace. The aim of the paper is to identify the diversity of approaches and analyse them in terms of learning aspects.

A literature review was conducted searching for terms incident/accident/near misses/disaster/crisis modified with learning/training and safety. Shortlisted articles were analysed by questioning who is learning, what kind of learning process is undertaken, what type of knowledge is employed and the type of problem that these incidents addressed. Current approaches to learning from incidents were critically analysed and gaps identified.

Very few papers addressed all the envisaged aspects when developing their learning from incidents approaches. With support from literature, it was concluded that all the four perspectives, namely participants of learning (participation and inclusion), learning process (single loop, double learning), type of incident and its relation to learning (Cynefin complexity framework) and types of knowledge (conceptual, procedural, dispositional and locative) are important when deciding on an appropriate learning from incidents approach.

The literature review focused on journal articles and identified keywords, which might have narrowed the scope. Further research is needed in identifying ways to embed the learning from incidents aspects in the organisation.

The framework developed could be useful by safety planners, safety managers, human resource managers and researchers in the area of organisational learning and safety.

The paper concludes by outlining key questions and proposing a framework that could be useful in systematically analysing and indentifying effective approaches to learning from incidents.

The purpose of this paper is to identify symptoms that constitute a shared cultural model of depression among African Americans and to compare these accounts with criteria for major depressive disorder (MDD) in the 5th edition of the Diagnostic Statistical Manual of mental disorders (DSM-V).

Data were collected in a disproportionately Black urban neighborhood in the USA and analyzed using cultural consensus analysis (CCA). In total, 34 African Americans participated in a free-listing exercise to elicit common indicators of depression in the same community. Another 40 key informants completed a survey to rate how common each indicator was in the same community. Factor analysis was performed, factor loadings were used to weight the responses of each informant in the survey and then aggregated to determine the most significant indicators or components of the shared model depression.

Indicators of depression included classic symptoms in the DSM-V such as sadness and lack of motivation. However, other indicators that are inconsistent with symptoms of MDD in the DSM-V such as paranoia and rage were common and constituted a shared model of depression in the sample.

Some symptoms common among African Americans that are not in the DSM-V or on research instruments developed based on the DSM could be overlooked in epidemiological surveys and in clinical assessments of depression.

The provision of mental health care might benefit from a better understanding of how contextual factors shape expressions of distress among African Americans.

This study identify culturally salient symptoms of depression among African Americans independent of clinically defined criteria.

This paper aims to explain the uncertainties associated with food security and, in doing so, classifies them within the context of volatility, uncertainty, complexity and ambiguity (VUCA). In using this lens to frame the challenges of food security, the viewpoint proffers the need to be even more sensitive to heightened levels of uncertainty and highlights the need of governments to be prepared to meet a wider variety of external forces, risks, opportunities and threats to mitigate food insecurity.

This research constructs a novel morphology of food security and food waste policy futures based upon a range of scenario types based on contextual narratives relating to constraint, collapse, growth and transformation. In doing so, offering a representation that suggests order, complexity and chaos occur across a range of four domains of interaction: known (repeatable cause and effect); knowable (cause and effect separated over time); complex (cause and effect are unique and non-repeatable); and chaos (no cause and effect relationship perceivable). This orientation is represented in the form of a novel morphology that can be used to support decision-making and policymaking/consideration.

The authors have presented and identified a combination of a structured and unstructured methods to develop and hence classify a range of food security scenarios. Using the VUCA worldview and classification, the authors subsequently identify seven underlying and seven United Nations (UN) Sustainable Development Goals (SDG)-derived factors, which when combined with the Institute for the Future (IFTF) four food security scenarios in a pairwise manner led to the generation of a further 16 subsequent VUCA-inspired scenarios composed within a morphological grid. These were subsequently reclassified against three sets of stakeholders and then finally mapped to the Cynefin framework as a set of ten scenarios to show the potential of making greater sense of the VUCA nature of food security.

The paper proposes a novel conceptual approach to framing and understanding the wider holistic aspects of explaining and providing foresight to the complexities of food security. Hence, this paper provides policymakers with two contrasting, yet complementary, food security scenario planning techniques (VUCA and Cynefin), which envelope 16 narrative food security scenarios which can be used with stakeholders and advocacy groups in facilitating discussion about complex, messy and “wicked” interlinkages within the food security domain.

This is the first time in the extant literature that a combination of structured and unstructured, problem-based versus mess-based, contrasting perspectives have been brought together and developed, with the intention of creating a normative family or portfolio of narrative-driven food security scenarios. The authors present and extend four existing scenarios from the extant food security literature, and subsequently, through interpreting these scenarios via a dual and combined lens (notably using UN SDG and VUCA elements), a grid of alternative food security scenarios is produced. By then using applying the Cynefin complexity framework to these new configurations, a thematic categorisation of alternative futures is presented, which may aid policy and decision-makers when considering this topic.

Canada's Chemical, Biological, Radiological, and Nuclear Research and Technology Initiative (CRTI) uses an operating model that is unusual in government. It is created to enable cross‐boundary capability and capacity building and learning. Some consider it a model for other federal science initiatives. The purpose of this paper is to explore the nature of leadership – and its relationship to perceived effectiveness – in this complex network of counter‐terrorism communities, where parts of the network are functioning better than others. At a more academic level, it explores whether complexity theory can inform leadership theory.

This qualitative, empirical study uses phenomenography and elements of ethnography as methodologies. Data are gathered through interviews and observation.

CRTI personnel refer to their initiative as a counter‐terrorism network of communities. The leader of each community works – without positional authority – with participants from many organizations and locations. The paper reveals qualitatively different ways of understanding leadership. Even though CRTI groups have much in common, participants' ways of understanding that work vary greatly. Some understand their work environments as complex systems rather than as traditional government structures; this way of understanding is associated with perceptions of effectiveness. This finding can change the ways in which science and technology professionals make sense of their work in complex, trans‐disciplinary fields such as counter‐terrorism and global warming.

This qualitative, empirical research complements and supports some of the conceptual work about leadership and learning in complex environments.

This study explores the efficacy of social movements thinking for mobilizing resources toward sustainable change in large-scale systems such as health and social services.

The study proceeds from a critical realist perspective employing a qualitative multi-case study approach. Drawing on the tenets of grounded theory (i.e. constant comparative analysis and theoretical sampling), data from semi-structured interviews and field notes were analyzed to facilitate theoretical integration and elaboration.

One case study explores the emergence of social movements thinking in mobilizing a community to engage in sustainable system change. Data analysis revealed a three-stage conceptual framework whereby building momentum for change requires a fundamental shift in culture through openness and engagement to challenge the status quo by acknowledging not only the apparent problems to be addressed but also the residual apathy and cynicism holding the system captive to entrenched ideas and behaviors. By challenging the status quo, energy shifts and momentum builds as the community discovers shared values and goals. Achieving a culture shift of this magnitude requires leadership that is embedded within the community, with a personal commitment to that community and with the deep listening skills necessary to understand and engage the community and the wider system in moving forward into change. This emergent conceptual framework is then used to compare and discuss more intentional applications of social movements thinking for mobilizing resources for large-scale system change.

This study offers a three-stage conceptual framework for mobilizing community/system resources toward sustainable large-scale system change. The comparative application of this framework to more intentional applications of social movements thinking to planned change initiatives offers insights and lessons to be learned when large-scale systems attempt to apply such principles in redesigning health and social service systems.

This study aims to test the validity of a knowledge work typology proposed by Davenport. Although this typology has been referenced extensively in the literature, it does not appear to have been empirically validated.

The typology was tested through a questionnaire survey among knowledge workers (n=459) in a multinational company. A Principal Component Analysis (PCA) was applied to determine the knowledge work groupings arising from the survey.

The vast majority of the respondents could not be grouped into any one of Davenport's four knowledge work types. Furthermore, PCA revealed four groupings: low‐agency collaboration; low‐ agency routine work; rule‐based work; and high‐agency expert work. The results confirm only one of Davenport's typology models, the Expert model. Davenport's Collaboration model was found to have elements of the Transaction model. The Transaction and the Integration typology models were not confirmed. Instead, two further models incorporating elements of both Transaction and Integration models emerged. Finally, in contrast to Davenport's typology, the clusters that emerged from this study do not fit a matrix structure.

A follow‐up qualitative study would be required to better understand the four models that emerged from the data and to elucidate organisational factors that underpin the models.

This is the first empirical study testing the validity of Davenport's typology.