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Firearms account for the majority of suicide deaths in the US military and general population. The percentage of suicides resulting from firearms is higher in the military, however, and as such, the ratio of non-lethal to lethal suicide attempts is lower in the military than in the general population. In 2013, Congress passed the National Defense Authorization Act, which facilitated a Department of Defense (DoD) shift toward allowing commanding officers and clinicians to inquire about personal firearms with service members perceived as being at risk and also began giving free cable locks to firearm-owning military personnel. The purpose of this paper is to provide a preliminary understanding of the effectiveness of this change, the authors examined trends in firearm suicide attempts within the US military and general population from 2010 to 2015.

Data on non-lethal and lethal suicide attempts overall and within specific methods were extracted from the Department of Defense Suicide Event Report and the Centers for Disease Control and Prevention’s Web-based Injury Statistics Query and Reporting System (2011–2015).

Contrary to expectations, firearms were not utilized in a smaller proportion of suicide attempts within the military post-law change. Consistent with expectations, however, the ratio of non-lethal to lethal suicide attempts increased, particularly after the change in law, with the ratio in the military converging somewhat with that of the general population.

Overall, results were mixed, with only limited and tangential evidence that the change in law has proven effective. More precise data collection will be required in order to fully evaluate such laws.

Looks at the attitudes of children, parents and marketers to gender‐specific products, and relates this to the efforts of the political correctness lobby to render them obsolete. Finds that marketers have tended to respond to adults rather than the children themselves, and that the 1980s and 1990s were a period when it was thought that gender equality required that young children be treated as though there was no difference between the preferences of boys and girls. Argues instead that gender differences are an important identifying factor for children and that young boys and girls do prefer toys that reflect gender, for instance dolls for girls and guns for boys. Concludes that there are considerable opportunities for marketers and product developers to exploit the demand for gender‐specific products for children under eight.

The purpose of this paper is to explore the possibilities opened up by those messy, unclear and indeterminate data in research situations that may be described as being in the shadow and may as such remain in a state of vagueness and indeterminacy.

The paper draws on the extant literature on shadow organizing and post-qualitative methodologies. It focuses attention on not-yet (or shadow data) in order to ponder over what researchers do to data when they are not (yet) black-boxed as such. At the same time, it investigates what it is that not-yet data do to researchers.

Four types of “not-yet” data – illegible, wondrous and disorienting, hesitant and worn out – are presented and discussed. Data are illegible when a researcher is in the position of not knowing how to interpret what is in front of her/him. A second illustration is constructed around wonder, and poses the question of the feelings of surprise and disorientation that arise when facing uncanny realities. In a third situation, not-yet data are narrated as hesitation, when a participant feels conflicting desires and the researchers hesitates in interpreting. The fourth illustration depicts not-yet data as data that have been corrupted, that vanish after time or are worn out.

Not-yet data belong to researchers practice but can also be found in other professional practices which are concerned with the indeterminacy of shadowy situations. It is argued that situations like these constitute opportunities for learning and for the moral and professional development, so long as indeterminacy is kept open and a process of “slowing down” both action and interpretation is nurtured.

This paper is of value for taking the metaphor of shadow organizing further. Moreover, it represents a rare attempt to bring the vast debate on post-qualitative research/methodologies into management studies, which with very few exceptions seems to have been ignored by organization studies.

The purpose of this paper is to systematically review, synthesize and critically evaluate the current research status on the role of collaborative interorganizational relationships (CIRs) in supply chain risks (SCRs) from a social capital perspective and provide an organizing lens for future scholarship in this area.

This study adopts a systematic literature review approach to investigate 126 articles from 27 peer-reviewed journals between 1995 and 2020.

This paper investigates supply chain CIRs using a social capital perspective to explain the role of structural, relational and cognitive capital that resides in these relationships in various SCRs (i.e. environmental, supply, manufacturing, demand, information, financial and transportation). The review reveals that the three social capital dimensions uniquely and both positively and negatively affect different SCRs. The findings further suggest that the perceived SCRs can influence the structural and relational capital.

This study calls for practitioners to consider the cognitive alignment with their supply network partners, their relational investments, as well as the interorganizational processes and systems in managing and alleviating SCRs.

This review offers a theoretical articulation of how various aspects of CIRs affect SCRs. Specifically, this study extends the existing understanding of the role of social capital in SCRs through offering a synthesis of dominant findings and discourses, and avenues for future research.

Research on the “black box” of cognitive capital remains limited in supply chain resilience (SCRES) literature. Drawing from an in-depth single case study of a major consumer electronics multinational facing the COVID-19 disruption, this paper aims to develop a clearer picture of cognitive capital’s elements while contextualizing how they interact with SCRES temporal capabilities to prepare, respond, recover and learn.

Consisting of 40 in-depth interviews collected during a four-month period, this single case revolves around the buyer’s view across 36 multiregional buyer–supplier dyads, spanning 17 product and service categories. Data were processed during the pandemic, while findings discuss pre- and intra-crisis events based on two scenarios: the impact of disruption on category demand, comparing sudden pandemic-driven product and service demand fluctuations (i.e. increase, decrease); and the geographical proximity of the supplier relative to the buying firm.

The case unveils different elements of cognitive capital (e.g. shared goals, assumptions, values, kinesics language, multilingualism, virtual negotiation, prior disruption experience, shared process capabilities) during a major global disruption, suggesting that different cognitive capital elements influence positively and differently SCRES’ temporal capabilities. Overall, buying firms are urged to build on cognitive capital to improve SCRES preparation, response, recovery and learning.

This paper extends the understanding of cognitive capital in buyer–supplier relationships by identifying its elements and offering a theoretical articulation of how they enable episodically the four SCRES temporal capabilities under contingencies of increased and decreased demands, and suppliers’ geographical proximity.

The present chapter includes a case study that describes and analyzes three performance audit reports over a three decade period for one U.S. state government's destination management organization's (DMO) actions and outcomes. This report extends prior studies (Woodside & Sakai, 2001, 2003) that support two conclusions: (1) the available independent performance audits of DMOs’ actions and outcomes indicate that frequently DMOs perform poorly and fail to meaningfully assess the impacts of their own actions and (2) the audits themselves are shallow and often fail to provide information on DMOs’ actions and outcomes relating to these organizations largest marketing expenditures. The chapter calls for embracing a strategy shift in designing program evaluations by both government departments responsible for managing destinations’ tourism marketing programs and all government auditing agencies in conducting future management performance audits. The chapter offers a “tourism performance audit template” as a tool for both strategic planning by destination management organizations and for evaluating DMOs’ planning and implementing strategies. The chapter includes an appendix – a training exercise in using the audit template and invites the reader to download a tourism performance audit report of a destination marketing organization and to apply the template after reading the report.

The factors which influence costs of production of food and the prices to the consumer have changed dramatically during this century, but especially since the establishment of trading systems all over the world. Gone are the days when the simple expedients of supply and demand alone governed the situation. The erosion of these principles began at the turn of the century, mainly as a result of the introduction by the rapidly developing industrial power of the USA to protect her own industries against the cheaper products of European countries. They introduced the system of tariffs on imported manufactured goods; it grew and eventually was made to apply to wide sectors of industry. European countries retaliated but the free trade policy of Britain's Liberal government was making the country a dumping ground for all other country's cheap products and surpluses.

This chapter discusses the challenges and opportunities of integrating big data generated by contemporary museums into data ecology and data fabrics of smart cities. First, it exposes that smart cities could enhance their global reputation, visibility and image by building on closer collaborations with museums. Second, it demonstrates that museums in the 21st century have transformed into hyper-connected cultural hubs, spreading their reach and impact beyond their immediate urban locations. Finally, this chapter discusses creative approaches to data-curation mechanisms that stress the role of museums and cultural heritage sites in supplying data for a more strategic and proactive smart city co-design and management. Specifically, this chapter offers a three-dimensional framework for integrating heritage data in the design of smart city data ecosystems, which includes such components as Data Resources, Data Republics and Data Impacts. Data Resources stresses museum collections’ data and meta-data as a strategic resource to empower creative public data-curation practices to tell meaningful stories about the city and enhance place-making. Data Republics focuses on big data generated by visitors online or on-site as a foundation for evidence-based urban research, design and management, empowering more sustainable, safe and enjoyable tourism. Data Impacts details data-driven methodologies that museums could employ to measure public sentiment and opinion to offer new human-centred indicators to understand the performance of smart cities. This chapter shares a conceptual framework for repurposing museum data within a smart city data ecology to translate the current data excess into data intelligence.