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The authors examined how squad members within an Australian state police force perceived and attached enabling or coercive meanings to a suite of management control system (MCS) changes that were new public management (NPM) inspired.

The authors conducted a longitudinal case study of a large Australian state police department utilizing an abductive research design.

The authors found that identification processes strongly conditioned the reception of the MCS changes introduced. Initially, the authors observed mixed interpretations of controls as both enabling and coercive. Over time, these changes were seen to be coercive because they threatened interpersonal relationships and the importance and efficacy of squads in combating serious and organized crime.

The authors contributed to MCSs literature by revealing the critical role that multifaceted relational and collective identification processes played in shaping interpretations of controls as enabling–coercive. The authors build on this to elaborate on the notion of employees’ centricity in the MCS design.

This study suggests that, in complex organizational settings, the MCS design and change should reckon with pre-existing patterns of employees’ identification.

The authors suggested shifting the starting point for contemplating the MCS change: from looking at how what employees do is controlled to how the change impacts and how employees feel about who they are. When applied to the MCS design, employee centricity highlights the value of collaborative co-design, attentiveness to relational identification between employees, feedback and interaction in place of inferred management expectations and traditional mechanistic approaches.

A key challenge for cost-effective Intelligent Tutoring Systems (ITSs) is the ability to create generalizable domain, learner, and pedagogical models so they can be re-used many times over. Investment in this technology will be needed to succeed in developing ITSs for team training. The purpose of this chapter is to propose an instructional framework for guiding team ITS researchers in their development of these models for reuse. We establish a foundation for the framework with three propositions. First, we propose that understanding how teams develop is needed to establish a science-based foundation for modeling. Toward this end, we conduct a detailed exploration of the Kozlowski, Watola, Jensen, Kim, and Botero (2009) theory of team development and leadership, and describe a use case example to demonstrate how team training was developed for a specific stage in their model. Next, we propose that understanding measures of learning and performance will inform learner modeling requirements for each stage of team development. We describe measures developed for the use case and how they were used to understand teamwork skill development. We then discuss effective team training strategies and explain how they were implemented in the use case to understand their implications for pedagogical modeling. From this exploration, we describe a generic instructional framework recommending effective training strategies for each stage of team development. To inform the development of reusable models, we recommend selecting different team task domains and varying team size to begin researching commonalities and differences in the instructional framework.

Agile methods are increasingly being applied in the contexts of innovation beyond traditional information technology (IT) and physical product development projects, such as when process improvements are being implemented. Nevertheless, this phenomenon is still recent and little addressed in the literature, with few descriptions of empirical cases. This study aims to address this gap.

This multiple case study aims to present and discuss the application of Agile practices embedded in large companies’ innovation value chains, focusing on improvements of business processes. The following research question is pursued: How are large companies applying elements of Agile methods to their innovation processes when implementing incremental improvements in their operational processes? Based on the idea that the Agile-Stage-Gate model is an alternative to this challenge, this study investigates the application of this hybrid model in two large Brazilian companies by presenting their idiosyncrasies, lessons learned, adaptations, challenges and benefits.

Overall, it was observed that the experience with the application of the Agile-Stage-Gate model is positive for these companies, with better customer engagement, easier project control and increased productivity of the project team.

For those aiming to implement the Agile-Stage-Gate model, this paper identifies the main adaptations made in order to combine the purist approaches and critical success factors for its implementation.

This paper relays the process the authors used to develop a monitoring and evaluation (M&E) framework in the emergency services team at Australian Red Cross. The paper aims to provide useful information and guidance to support others to build and improve their M&E frameworks, which are fundamental for guiding achievement of department or organisational goals.

This paper uses a case study to describe the participatory agile methodology applied to develop the framework. The completed framework includes indicators mined from pre-existing literature and highlights the benefits of using an agile and participatory approach to cultivate user buy-in, enhance operational relevance and create timely results.

Development of the M&E framework streamlined measurement across the team, improved programmatic strategic alignment, identified gaps in data collection and promoted utilisation of evaluative information. Additionally, it was an exercise in evaluation capacity building, with many process uses, which positively influenced the implementation stage.

There are very few scholarly papers that outline the process taken to develop M&E frameworks, and none in the humanitarian, emergency services field. Additionally, this paper offers an innovative use of agile in facilitating a collaborative, sustainable and meaningful framework.

This research aimed to measure the influence of resource dependency (trading and/or shareholder's dependencies) squad age structure by building archetypes to identify strategic dominant schemes.

Based on the Ligue 1 football clubs from the 2009/2010 season to the 2018/2019 data, the authors use the k-means classification to build archetypes of resource dependency and squad structure variables. The influence of resource dependency on squad structure is then analysed through a table of contingency.

Firstly, the authors identify archetypes of resource dependency with some clubs that are dependent on the transfer market and others that do not count on sales to balance their account. Secondly, they provide different archetypes of squad structure choices. The contingency between those archetypes allows to identify three main strategic schemes (avoidance, shaping and adaptation).

The research tests an original relationship between resource dependency of clubs and their human resource strategy to respond to it. This paper can help to provide detailed profiles for big clubs looking for affiliate clubs to know which clubs have efficient academy or player development capacities.

Most rescue squad members, both in the city and in rural areas, serve on a volunteer (unpaid) basis. It has been widely reported and observed that the number of Emergency Medical Technician (EMT) volunteers is falling in communities across the USA. Meanwhile, internationally, the need for emergency services volunteers is increasing as government support dwindles in these uncertain economic times. The purpose of this paper is to determine how to keep EMT volunteerism at desired levels and provide recommendations for increasing recruitment and retention.

The paper examines what motivates people and why people volunteer in general, beginning with a discussion of citizenship participation and international EMS, then reviewing general and volunteer motivation theories, and finally focusing on volunteer EMT motivation/retention theories in particular. Research studies in two diverse locations (one urban, one rural) are then implemented to survey volunteer EMT motivations and priorities, to find what stimulates EMTs to join and continue to participate in rescue squad operations.

Theoretical explanations and research results are analyzed to determine the implications for both recruitment and retention of volunteer EMTs.

Based on these findings, the remainder of the article is dedicated to the practical application of strategies which are easily implemented and cost‐effective for any volunteer EMT organization, regardless of locale or country of origin. Utilization of these strategies is both timely and relevant, because few communities' operational budgets can absorb the costs of hiring additional professional EMTs.

Although existing research on cohesion provides a robust understanding of the emergent phenomenon in small groups and teams, our comprehension of cohesion at the multisystem (MTS) level is quite limited. The simultaneous within- and between-team functioning inherent in MTSs produces more intricate dynamics than those observed at the team level. This added layer of complexity requires that many familiar team constructs, including cohesion, be systematically re-conceptualized and empirically examined through the lens of MTS theory (DeChurch & Zaccaro, 2010; Hackman, 2003). The present research addresses this gap by extending the conceptualization of team cohesion to the interteam level, and empirically investigating how cohesion functions across levels in a collective network of teams. Results from preliminary research suggest that intrateam and interteam cohesion share a curvilinear relationship with one another, while simultaneously interacting to affect overall system-level outcomes. This research not only illuminates the complexities associated with emergent phenomena in MTSs, but also serves as a starting point for continued, systematic research of the multilevel cohesive bonds that characterize MTS functioning.

Marksmanship data is a staple of military and law enforcement evaluations. This ubiquitous nature creates a critical need to use all relevant information and to convey outcomes in a meaningful way for the end users. The purpose of this study is to demonstrate how simple simulation techniques can improve interpretations of marksmanship data.

This study uses three simulations to demonstrate the advantages of small arms combat modeling, including (1) the benefits of incorporating a Markov Chain into Monte Carlo shooting simulations; (2) how small arms combat modeling is superior to point-based evaluations; and (3) why continuous-time chains better capture performance than discrete-time chains.

The proposed method reduces ambiguity in low-accuracy scenarios while also incorporating a more holistic view of performance as outcomes simultaneously incorporate speed and accuracy rather than holding one constant.

This process determines the probability of winning an engagement against a given opponent while circumventing arbitrary discussions of speed and accuracy trade-offs. Someone wins 70% of combat engagements against a given opponent rather than scoring 15 more points. Moreover, risk exposure is quantified by determining the likely casualties suffered to achieve victory. This combination makes the practical consequences of human performance differences tangible to the end users. Taken together, this approach advances the operations research analyses of squad-level combat engagements.

For more than a century, marksmanship evaluations have used point-based systems to classify shooters. However, these scoring methods were developed for competitive integrity rather than lethality as points do not adequately capture combat capabilities. The proposed method thus represents a major shift in the marksmanship scoring paradigm.

The purpose of this paper is to discuss the collaborative practices of virtual teams carrying out knowledge‐based work and the tools required/used to assemble “collective” artefacts.

The vast majority of recent work on communities of practice is devoted to community management (i.e. discovering, building, and maintaining communities), dismissing or undermining community practices and how they are technologically mediated (i.e. the practice‐specific tools and artefacts involved). This paper investigates existing practices and makes use of scenarios to envision new distributed collective practices in a designated application domain. The instruments used include both empirical tools (i.e. survey of current practice and expert interviews) and analytical tools (i.e. scenarios of use, walkthroughs, and virtual prototyping) to provide insight towards the design of practice‐oriented toolkits.

The proposed approach is validated in the context of an electronic village of local interest with a thematic focus on regional tourism, highlighting the key role of “collective” knowledge management in information‐based industries whose products are non‐material (intangible) and knowledge is central to gaining competitive advantage. The results include a general model for practice‐oriented toolkits conceived of as separate software components from (but interoperable to) the community support system and devised to establish a place for engaging in the practice the community is about. This model is then used to build an operational toolkit for assembling vacation packages by cross‐organization virtual communities of practice.

Virtual communities of practice (or partnerships) necessitate smooth integration of community management and practice‐specific tasks and tools. Community management tasks can be supported by augmenting capabilities of existing community portals to allow for community registration, role undertaking, declaration of virtual assets, etc. Practice‐oriented tasks should be designed in such a way so as to capture and accommodate domain‐specific vocabulary.

Model‐based techniques and domain‐specific design languages are used as the unifying mechanism (i.e. software factory) for integrating community management and practice‐oriented artefacts. These techniques are designed and implemented into a software platform so as to facilitate the systematic accumulation and reuse of knowledge towards the construction of collective artefacts.

This chapter explicates the logic of a computational agent-based model bearing on the willingness of perpetrator agents to conduct genocidal actions against Jewish people during World War II. Given realistic distributions of benefits and costs and sufficient time, as a joint consequence of these distributions and interpersonal influence the model readily creates agents who are avowed anti-Semites, Nazis, and perpetrators of the genocide, even transforming agents characterized initially by lower levels of anti-Semitism. Although many agents initially exhibit dissonance (i.e., a disjunction) between their attitudes and choices, toward the end of this period their anti-Semitic attitudes and choices become consonant (i.e., internally consistent). Experiments and parameter studies using this model indicate that different distributions of benefits and costs, changed legitimacy of authority, and different values of anti-Semitism of influential agents can modify the growth of prejudice, Nazism, and genocidal choices in these random-number-based Monte Carlo trials. The results clarify the conflicting interpretations of Goldhagen and Browning concerning the genocidal actions of a battalion of perpetrators and the role of propaganda in reducing moral costs. Six hypotheses that focus the testing of the model can be generalized creating insights about other genocides.