Social Contagion of Risk Perceptions in Environmental Management Networks

An important requisite for improving risk communication practice related to contentious environmental issues is having a better theoretical understanding of how risk perceptions function in real‐world social systems. Our study applied Scherer and Cho's social network contagion theory of risk perception (SNCTRP) to cormorant management (a contentious environmental management issue) in the Great Lakes Basin to: (1) assess contagion effects on cormorant‐related risk perceptions and individual factors believed to influence those perceptions and (2) explore the extent of social contagion in a full network (consisting of interactions between and among experts and laypeople) and three “isolated” models separating different types of interactions from the full network (i.e., expert‐to‐expert, layperson‐to‐layperson, and expert‐to‐layperson). We conducted interviews and administered questionnaires with experts (e.g., natural resource professionals) and laypeople (e.g., recreational and commercial anglers, business owners, bird enthusiasts) engaged in cormorant management in northern Lake Huron (n = 115). Our findings generally support the SNCTRP; however, the scope and scale of social contagion varied considerably based on the variables (e.g., individual risk perception factors), actors (i.e., experts or laypeople), and interactions of interest. Contagion effects were identified more frequently, and were stronger, in the models containing interactions between experts and laypeople than in those models containing only interactions among experts or laypeople.     

4 The Physical Environment in Organizations

Abstract

We review empirical research on the physical environment in professional, organizational work settings (i.e., offices, meeting rooms, and design work spaces) from the past several decades. This research reveals no common elements of the physical environment (e.g., enclosures and barriers in work spaces, adjustable work arrangements, personalized work spaces, and ambient surroundings) that are consistently and exclusively associated with desired outcomes in these work settings. Instead, these elements are routinely associated with both desired and undesired outcomes. Based on these findings, we suggest that understanding the role of physical environments in organizations requires an understanding of common trade-offs in organizational life. Further, we suggest that the prevalence of such trade-offs is grounded in tensions that are inherent to the functions that physical environments serve (i.e., aesthetic, instrumental, and symbolic functions). We provide an outline of these tensions and trade-offs in relation to common elements of the physical environment, and suggest that researchers consider these tensions and trade-offs in their future research.     

Present-but-online: How mobile devices may harm purposeful co-presence in organizations (and what can be done about it)

The introduction of mobile devices (e.g., smartphones and tablets), to the workplace has had many positive effects. While research also indicates that mobile devices may lead to the misallocation and depletion of attention, the negative effects, particularly on interactions in organizations, remain less well understood. We draw on micro-sociology to analyze the use of mobile devices in situations of purposeful co-presence, such as meetings and settings that require a joint effort to solve one or more problems. In these situations, the use of mobile devices is likely to de-energize actors and lead to behaviors that are contrary to the aims of establishing situations of purposeful co-presence. We identify ways in which organizations can avoid the negative consequences of mobile devices (while keeping the positive consequences), ranging from building norms regarding the use of such devices to restructuring work processes (e.g., making activities less interdependent and making less use of purposeful co-presence).     

The triangle <Emphasis Type="Italic">k</Emphasis>-club problem

Graph models have long been used in social network analysis and other social and natural sciences to render the analysis of complex systems easier. In applied studies, to understand the behaviour of social networks and the interactions that command that behaviour, it is often necessary to identify sets of elements which form cohesive groups, i.e., groups of actors that are strongly interrelated. The clique concept is a suitable representation for groups of actors that are all directly related pair-wise. However, many social relationships are established not only face-to-face but also through intermediaries, and the clique concept misses all the latter. To deal with these cases, it is necessary to adopt approaches that relax the clique concept. In this paper we introduce a new clique relaxation—the triangle k-club—and its associated maximization problem—the maximum triangle k-club problem. We propose integer programming formulations for the problem, stated in different variable spaces, and derive valid inequalities to strengthen their linear programming relaxations. Computational results on randomly generated and real-world graphs, with \(k=2\) and \(k=3\), are reported.     

“Seeing to be seen”: The manager’s political economy of visibility in new ways of working

Recent changes in the world of work have modified the conditions of the exercise of management in ways that challenge managers’ traditional authority and identity, both symbolically and physically. In this context, we analyse the “visibilizing process” of managers, through which they attempt to make themselves more visible, in ways that reaffirm their authority and restore their identity as managers. To that end, we develop a Foucauldian framework on power and visibility, which sheds light on the “political economy of visibility” of the manager. We apply this framework to a case study that encouraged a re-spatialization of remote work in coworking spaces. The findings show how the manager in our case study staged his own visibility, by enhancing managerial control, to manage his invisibility and shape his intertwined identities. Through the visibilizing process, the manager legitimated his role, materialized his function, and restored his authority.     

The Sidewalk as a Contested Space: Women’s Negotiation of Socio-Spatial Processes of Exclusion in Public Urban Space in Saudi Arabia; The Case of Al Tahlia Street

Riyadh is one of the most gender-segregated cities in the world. However, as gender segregation is less enforced on sidewalks, it provides an optimal case study for a space where women and men may be co-present. Thus, this paper aims to increase the understanding of the relationship between sociocultural norms and spatial programming regarding spatio-temporal inclusion or exclusion in public urban spaces. The results show that women’s use and access to sidewalks are influenced by gender norms, religious values, gendered regulations, and generic spatial programming. For instance, regulations limit the use of outdoor seating to men only, thus sidewalks adjacent to, e.g., cafes function as mono-gender spaces dominated by men. However, young women negotiate spatially bounded gender norms through their presence, behaviour, and dress. Although sidewalks are conceived as men’s space, women account for nearly half of the users, but their use often goes unnoticed as women self-regulate their spatio-temporal and visible presence. The study presents six types of women’s spatio-temporal behaviours with varying degrees of visible and invisible users. Ultimately, this paper argues that planning for inclusive sidewalks cannot be addressed solely through the ‘universal’ characterization of space; it should also be supplemented by context-specific knowledge regarding the socio-spatial needs.     

Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery

Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards.     

Expectations and the performance of governance functions between a board,management and other stakeholders: the case of Robotdalen

Previous research has called for an enhanced understanding of the dynamic and interactional aspects of board work in public sector governance. Using a longitudinal case study of Robotdalen, this paper attempts to meet this call through a processual and qualitative study of board work in public organisations. The aim of the paper is to enhance our understanding of the human side of governance and the interactions between a board, the management in the governed organisation and other stakeholders. We do this by addressing the theoretical concept of an expectations gap. The results demonstrated how funding regimes influence governance functions, structures and practices at the organisational level, and how internal actors such as managers also carry out governance functions. Moreover, the results show how an expectations gap shifts and changes over time. In this way we have contributed a more nuanced theoretical understanding of how the governance function is co-produced and the importance of understanding the expectations gap to further understand the dynamics of public sector board work.     

An Ecological Systems Perspective on Mentoring at Work: A Review and Future Prospects

After nearly 30 years as a subject of inquiry, mentoring remains a mainstay in the organizational literature, as relationships are arguably more important than ever to employees' personal and career growth. In this paper, we take an ecological perspective to situate and review topical areas of the literature with the intention of enhancing our understanding of how mentoring outcomes for protégés and mentors are determined not only by individual differences (e.g., personality) and dyadic factors (e.g., the quality of a relationship)—both of which represent the most frequently examined levels of analyses—but also the influences of the people from various social spheres comprising their developmental network, the larger organization of which they are a part, and macrosystem factors (e.g., technological shifts, globalization) that enable, constrain, or shape mentoring and other developmental relationships. Our review examines multi-level influences that shape mentoring outcomes, and brings into focus how the study of mentoring can be advanced by research at the network, organizational, and macrosystem levels. To help guide future research efforts, we assert that adult development and relational schema theories, Positive Organizational Scholarship, a social network perspective, signaling theory, and institutional theories can help to address emerging and unanswered questions at each ecological level.     

Emotion cycles: On the social influence of emotion in organizations

Human emotion is typically studied as a within-person, one-direction, non-repetitive phenomenon; focus has traditionally been on how one individual feels in reaction to various stimuli at a certain point of time. But people recognize and inevitably react emotionally and otherwise to expressions of emotion of other people. We propose that organizational dyads and groups inhabit emotion cycles: Emotions of an individual influence the emotions, thoughts and behaviors of others; others’ reactions can then influence their future interactions with the individual expressing the original emotion, as well as that individual's future emotions and behaviors. People can mimic the emotions of others, thereby extending the social presence of a specific emotion, but can also respond to others’ emotions, extending the range of emotions present. People can also draw attributions and extract meanings from others’ emotions. Emotion cycles can involve both intended targets of or partners to an original emotion and third parties who were not the intended targets or partners. Emotion cycles are sensitive to various moderating factors, including demographic variables (e.g., gender or race) and situational variables (e.g., relative power of participants). Pertinent organizational and psychological research that supports the idea of emotion cycles is reviewed and shown to suggest a wide arena for future research.     

Einf��hrung von Kommunikationsstandards in Unternehmensnetzwerken �C ein gestaltungsorientierter Ansatz bei dezentraler Entscheidungsstruktur

Standards and technologies (e.g. in the area of web services) that are currently discussed in research and practice will strongly change IT-based communication between organizations. However, the decision to standardize is accompanied by the risk of introducing a standard that is not adopted by other organizations afterwards. Hence, the interdependencies among the standardization decisions due to positive network effects result in a coordination problem, which is referred to as ??the standardization problem??. If the standardization decisions are taken by autonomous actors (e.g. legally independent organizations) that do not know the standardization decisions of the other actors in the network, this standardization problem arises for a decentralized decision structure and incomplete information. Thus, actors have to decide under uncertainty on whether to standardize or not. To avoid resulting inefficiencies and wrong decisions, we propose a formal, normative approach. This approach allows an actor within the network to anticipate the standardization decisions of the other actors and the associated network effects. Central to our approach are the consideration of interdependencies among the standardization decisions and the solution of the resulting system of equations.     

Serving two masters: Commitment profiles of employees in the German military reserve

Research on commitment has highlighted the importance of understanding multiple commitments to similar objects, and there is a desire to clarify the attendant complex interactions by applying a person-centred approach to commitment. Although there is a rich body of knowledge on commitment, questions regarding possible conflicts among the various types of commitment remain unanswered. Specifically, we know little about the effects of commitment to objects with similar characteristics (e.g. organizations) across domains (e.g. civil vs military). We draw on a sample of individuals in the German military reserve (N = 303) who serve voluntarily as soldiers in the armed forces and parallel work in civil organizations. We test hypotheses regarding the presence of different commitment profiles. We identified five commitment profiles and evidence for both within- and cross-domain effects of the antecedents and outcomes of commitment.     

Who is Appointed to What Position? The Politics of Appointment in Quangos of Korea

This study identifies the determinants of appointment of executives in quangos. Using data from 85 quangos in Korea over 15 years between 1993 and 2007, we investigate the degree to which various characteristics of organizational actors affect the choice of executives. Three organizational actors include presidents, sponsoring government departments, and the concerned quangos. Although results vary by executive position, the findings of the empirical analysis with multinomial probit and generalized linear mixed models support the idea that the appointment of quango executives is not the result of presidential choice but that of the interactions among the key organizational actors, with different incentives and resources, on the appointment. Compared to former bureaucrats, presidential allies are more likely to be appointed when presidents have more political support from the National Assembly and it is easier for insiders to be promoted as executives from larger and older quangos with clear legal origins.     

Accounting for the formation of scientific fields in organization studies

There are few qualitative organizational accounts that explore the constitution of scientific fields in management. We developed a methodology for understanding the academic modes of scientific knowledge production in management research from the perspective of the sociology of scientific knowledge (SSK) and actor-network theory (ANT). SSK and ANT offer a way to account for how scientific fields in organization studies are enacted. Key to this process are splitting and inversion of statements; credibility and network formation; and the concepts of credit, trajectory, and position. Specific statements making key knowledge claims (e.g., handbooks, special editions) are situated in academic practices that obscure those rhetorical strategies that enable the production of a network of knowledge that can act, organizationally, as a more or less unified sub-field. We take as a starting point a collection of texts, dated 2011, which sought to systematize the main currents of a disciplinary sub-field during the last decade, focusing on how statements are transformed into scientific certainty and how the question of credibility is established. The sub-field is that of organizational learning (OL). The particular language of OL relies on approaches that make its epistemic assumptions intelligible within a network. It is a language that tends to reify and naturalize specific practices that become accredited as organization learning. The material/textual artifacts that sustain these practices, instead of being reified, can be reframed as enacting a scientific field whose resignification acts upon the network that enabled its existence.     

State-of-the-science review of leader-follower dyads research

Despite its importance in multilevel research, the dyad level of analysis has been known as the most poorly understood level. Suggestions have been made recently in terms of levels alignment issues and methodologies to enhance the understanding of dyadic phenomena. Given recent remedies for dyads research and that the leader-follower dyad is generally considered the key dyad in organizations, we conducted a comprehensive review of the current state of leader-follower dyads research to assess what we know and how much we know about leader-follower dyads research conducted at the dyad level. Specifically, we summarized empirical studies that focused on leader-follower dyads that used data collected on the same variables from both dyadic partners. This review involved coding studies of these “pure” leader-follower dyads based on several dyadic theories (e.g., vertical dyad linkage, individualized leadership, leader-member exchange, leader-follower congruence) and multiple analytic methods (e.g., multilevel modeling, polynomial regression, WABA) that dealt with leader-follower dyads directly. Based on the results, this review generated a nomological network of constructs for understanding leader-follower dyads and to provide suggestions for future leader-follower dyads research.     

Issues Related to Time Averaging of Exposure in Modeling Risks Associated with Intermittent Exposures to Lead

Typical exposures to lead often involve a mix of long-term exposures to relatively constant exposure levels (e.g., residential yard soil and indoor dust) and highly intermittent exposures at other locations (e.g., seasonal recreational visits to a park). These types of exposures can be expected to result in blood lead concentrations that vary on a temporal scale with the intermittent exposure pattern. Prediction of short-term (or seasonal) blood lead concentrations arising from highly variable intermittent exposures requires a model that can reliably simulate lead exposures and biokinetics on a temporal scale that matches that of the exposure events of interest. If exposure model averaging times (EMATs) of the model exceed the shortest exposure duration that characterizes the intermittent exposure, uncertainties will be introduced into risk estimates because the exposure concentration used as input to the model must be time averaged to account for the intermittent nature of the exposure. We have used simulation as a means of determining the potential magnitude of these uncertainties. Simulations using models having various EMATs have allowed exploration of the strengths and weaknesses of various approaches to time averaging of exposures and impact on risk estimates associated with intermittent exposures to lead in soil. The International Commission of Radiological Protection (ICRP) model of lead pharmacokinetics in humans simulates lead intakes that can vary in intensity over time spans as small as one day, allowing for the simulation of intermittent exposures to lead as a series of discrete daily exposure events. The ICRP model was used to compare the outcomes (blood lead concentration) of various time-averaging adjustments for approximating the time-averaged intake of lead associated with various intermittent exposure patterns. Results of these analyses suggest that standard approaches to time averaging (e.g., U.S. EPA) that estimate the long-term daily exposure concentration can, in some cases, result in substantial underprediction of short-term variations in blood lead concentrations when used in models that operate with EMATs exceeding the shortest exposure duration that characterizes the intermittent exposure. Alternative time-averaging approaches recommended for use in lead risk assessment more reliably predict short-term periodic (e.g., seasonal) elevations in blood lead concentration that might result from intermittent exposures. In general, risk estimates will be improved by simulation on shorter time scales that more closely approximate the actual temporal dynamics of the exposure.     

Assassination and leadership: Traditional approaches and historiometric methods

Research on the assassinations and attempted assassinations of leaders seems warranted, as leaders and their interactions with extreme followers (e.g., fanatics) and non-followers (e.g., assassins) can have tremendous consequences not only for the leaders but also their larger collectives (e.g., nations, social movements). Based on the traditional and established leadership approaches of power orientation and outstanding leadership, we explored whether particular types of leaders were more likely victims of assassinations and targets of assassination attempts. Using historiometric methods, we found that socialized as well as pragmatic and ideological leaders were the most frequent victims of assassinations; but personalized as well as pragmatic and ideological leaders were the most frequent targets of assassination attempts; and for U.S. Presidents, socialized charismatics were the most frequent victims of assassinations and targets of assassination attempts. Results regarding leader paranoia, regions of the world, and assassins operating alone or as a group in relation to assassinations and leadership approaches also are presented. Implications of these findings for future leadership research involving leaders and their extreme followers, non-followers, and larger collectives are discussed.     

Organizational Injustice as an Occupational Health Risk

Abstract

Content to conceive of inequity distress as a hypothetical construct instead of an intervening variable, a half century of research inspired by equity theory has paid little attention to measuring inequity distress. At the turn of the twenty‐first century, however, European epidemiologists, interested in determinants of ill health, found that injustice is a source of adverse emotional reactions that put people at risk for mental and physical morbidity (e.g., depression and coronary heart disease). This research is reviewed here, along with studies identifying pathways accounting for these connections. Specifically, perceived injustices lead to negative emotional reactions and to unhealthy behaviors (e.g., being sedentary, smoking, and drinking excessively), both of which trigger various negative bodily reactions (e.g., elevated serum lipids). These, in turn, subsequently put people at risk of illness. Research has found that such effects are mitigated by organizational interventions that promote perceptions of justice. Three limitations warranting consideration in future research are discussed: (a) the need to address methodological concerns (e.g., reducing common method variance, improving efforts to determine causality), (b) the need to assess the cultural generalizability of research findings, and (c) the need to supplement the existing attention to disease with a new focus on health and well‐being.     

Seeing eye to eye: A meta-analysis of self-other agreement of leadership

The agreement between a leader's self-rating of leadership and ratings from the leader's subordinates, peers, and superiors (i.e., self-other agreement) is critical to understanding leadership, but questions remain regarding the extent to which leaders are aware of their behaviors. This meta-analysis investigates whether leader-observer agreement is influenced by type of observer and type of leadership. First, we examined the convergence (i.e., correlation) between leader- and observer-ratings along several dimensions of leadership (e.g., initiating structure, consideration, contingent reward, and transformational leadership). Our results indicated that leader-observer correlations were generally moderate and of similar magnitudes for task- and relation-oriented behaviors (with the exception of a strong correlation for contingent reward). Next, we compared leaders' and observers' mean-level ratings (i.e., Cohen's d), and found that leaders generally reported lower or similar levels of task-oriented behaviors but higher levels of relation-oriented behaviors. Last, several variables (e.g., sampling method and study purpose) moderated leader-observer convergence. Implications of these findings for research, theory, and practice are discussed.