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Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

While the use of computerized decision aids in accounting is widespread, little is known about the effects of decision aids on accounting decision making. However, prior research has often noted the difficulty in getting users to accept and rely upon decision aids (Rose, 2002). A primary area of focus in the design of decision aids that will facilitate user acceptance and reliance has been the development of user-centered interfaces that increase the user's comfort with the aid. This study contributes to this body of research by extending the findings of Ryan, Mims, and Koestner (1983) on the use of informational versus controlling rewards to the context of a decision aid and the interface design. While Ryan et al. focused on the effects of verbal feedback on intrinsic motivation, this study focuses on the impact of text-based feedback from a decision aid on decision performance for a choice task. Additionally, this study examines the effect of task-contingent versus performance-contingent rewards on the impact of the decision aid feedback. The results indicate a differential effect from that of Ryan et al. (1983) when feedback is provided through a decision aid and the focus is on decision performance rather than the precursor condition of intrinsic motivation. Additional research is needed to help explain why the findings obtained by Ryan et al. do not hold in the context of computerized decision aid use when decision performance is measured directly. There are important implications of these findings both in terms of theory development and decision aid design in professional decision-making environments such as accounting.

This paper illuminates the distinction between individual and organizational actors in business-to-business markets as well as the coexistence of formal and informal mechanisms of coordination in multinational corporations. The main questions addressed include the following. (1) What factors influence the occurrence of personal contacts of foreign subsidiary managers in industrial multinational corporations? (2) How such personal contacts enable coordination in industrial markets and within multinational firms? The theoretical context of the paper is based on: (1) the interaction approach to industrial markets, (2) the network approach to industrial markets, and (3) the process approach to multinational management. The unit of analysis is the foreign subsidiary manager as the focal actor of a contact network. The paper is empirically focused on Portuguese sales subsidiaries of Finnish multinational corporations, which are managed by either a parent country national (Finnish), a host country national (Portuguese) or a third country national. The paper suggests eight scenarios of individual dependence and uncertainty, which are determined by individual, organizational, and/or market factors. Such scenarios are, in turn, thought to require personal contacts with specific functions. The paper suggests eight interpersonal roles of foreign subsidiary managers, by which the functions of their personal contacts enable inter-firm coordination in industrial markets. In addition, the paper suggests eight propositions on how the functions of their personal contacts enable centralization, formalization, socialization and horizontal communication in multinational corporations.

Privacy is a broad concept that encompasses spatial, psychosocial and moral dimensions. The author draws on two examples of ethnographic studies to highlight privacy concerns. She frames the discussion by using the categories of physical, informational, proprietary and decisional privacy. The first study of a case of life support withdrawal after severe traumatic brain injury (TBI) raises four key points: (1) cultural norms in the setting dictate practices and perceptions of invasions of privacy, (2) dual roles allow access to private spaces, (3) the topic of the research can itself be a private matter and (4) inadvertent lapses in privacy are possible even with careful consideration and safeguards. The second study which is an ongoing examination of long-term adjustment to TBI in Kolkata, India raises a different set of issues: (1) differences in norms regarding physical privacy need to be negotiated, (2) the signing of consent forms can feel intrusive to persons unfamiliar with this process, (3) privacy and trust are inextricably linked and (4) norms of disclosure also affect the researcher. Recommendations are made for negotiating the complex nature of privacy and intrusion in ethnographic work.

Strong versions of the Precautionary Principle (PP) require regulators to prohibit or impose technology controls on activities that pose uncertain risks of possibly significant environmental harm. This decision rule is conceptually unsound and would diminish social welfare. Uncertainty as such does not justify regulatory precaution. While they should reject PP, regulators should take appropriate account of societal aversion to risks of large harm and the value of obtaining additional information before allowing environmentally risky activities to proceed.

Rural schools have typically been strong on community but weak on professional learning. Their small size and geographical isolation have meant that much of the recent reform movement focused on professional learning communities has passed them by. But there is no reason why rural educators cannot participate in professional learning networks (PLNs) and benefit from heightened levels of collegiality that can be experienced across schools. However, intentional design for deeper collaborative work and face-to-face connection is necessary for PLN members to reap the benefits from increased professional capital and teacher leadership opportunities. This chapter describes the work of the Northwest Rural Innovation and Student Engagement (NW RISE) network in the United States. NW RISE brings together rural educators in gatherings that take place every six months, helps them to form “job-alike” groups focused on academic subject matter or cross-contextual themes, and provides support for shared curriculum design. This chapter describes how rural educators have seized upon the resources in NW RISE to promote student engagement and to develop their professional capacity across the network’s schools.

Weapons systems and platforms guided by Artificial Intelligence can be designed for greater autonomous decision-making with less real-time human control. Their performance will depend upon independent assessments about the relative benefits, burdens, threats, and risks involved with possible action or inaction. An ethical dimension to autonomous Artificial Intelligence (aAI) is therefore inescapable. The actual performance of aAI can be morally evaluated, and the guiding heuristics to aAI decision-making could incorporate adherence to ethical norms. Who shall be rightly held responsible for what happens if and when aAI commits immoral or illegal actions? Faulting aAI after misdeeds occur is not the same as holding it morally responsible, but that does not mean that a measure of moral responsibility cannot be programmed. We propose that aAI include a “Cooperating System” for participating in the communal ethos within NSID/military organizations.

As outlined in these chapters, pre-service teachers, beginning teachers, experienced teachers, teacher leaders and aspirant leaders all face the growing demands of emotional labour and are engaged in the emotional work that underpins learning environments. The ‘false apprenticeship’ (Bullock, 2013) highlights how teacher education remains historically problematic, with its focus on observation for replication, rather than the development of an individual's capability. Educators need to be enabled to refocus their attention on developing professional capital (Hargreaves & Fullan, 2012). According to Hargreaves and Fullan (2012) there are three elements that produce professional capital, these are human capital, social capital and decisional capital. The presence of all three is vital for a healthy productive education system. The education system is made up of people and education is for the people. Society and future societies rely on professional capital being promoted within education.