Robust modeling of human contact networks across different scales and proximity-sensing techniques

The problem of mapping human close-range proximity networks has been tackled using a variety of technical approaches. Wearable electronic devices, in particular, have proven to be particularly successful in a variety of settings relevant for research in social science, complex networks and infectious diseases dynamics. Each device and technology used for proximity sensing (e.g., RFIDs, Bluetooth, low-power radio or infrared communication, etc.) comes with specific biases on the close-range relations it records. Hence it is important to assess which statistical features of the empirical proximity networks are robust across different measurement techniques, and which modeling frameworks generalize well across empirical data. Here we compare time-resolved proximity networks recorded in different experimental settings and show that some important statistical features are robust across all settings considered. The observed universality calls for a simplified modeling approach. We show that one such simple model is indeed able to reproduce the main statistical distributions characterizing the empirical temporal networks

Job Satisfaction as a Reflection of Disposition: A Multiple Source Casual Analysis

Dispositional sources of job satisfaction have been the subject of recent research in the organizational sciences. Problems in much of this research, which limit the conclusions one can draw from the results, are discussed. This study makes a distinction between affective disposition, defined as the tendency to respond generally to the environment in an affect-based manner, and subjective well-being, the level of overall happiness and satisfaction an individual has with his or her life. Affective disposition was hypothesized to lead to subjective well-being, and subjective well-being and job satisfaction were hypothesized to be mutually causative. A causal model was tested employing two different sources of data: self-reports and significant other evaluations. This biangulation of sources of data and estimation of nonrecursive relationships removes some problems often assumed to plague results based on single source data. Results indicated support for the overall hypothesized causal model and supported a dispositional influence on job attitudes. The influences are more complex than past research has suggested

Understanding employees’ intrapreneurial behavior: a case study

Purpose – The purpose of this paper is to provide a deeper insight into the organizational factors and personal motivations of intrapreneurs that may foster intrapreneurial behaviors of employees in a new technology-based firm (NTBF). Design/methodology/approach – The paper takes a qualitative approach to explore organizational and individual antecedents of employees’ intrapreneurial behavior. A single case study was conducted on the basis of semi-structured interviews with the founders and top managers of the firm and with intrapreneurial employees. Findings – Results show that intrapreneurial projects may arise in firms whose top managers support corporate entrepreneurship (CE) in a non-active manner. Intrapreneurial behaviors of employees can emerge despite the lack of time and limited resources available for undertaking projects. Moreover, work discretion and mutual confidence and the quality of the relationship between employees and top managers are the most valued factors for intrapreneurs. Practical implications – Based on the intrapreneurial projects studied, this paper helps to contextualize intrapreneurs’ perception of organizational support and the personal motivations for leading projects within an NTBF. Originality/value – Traditionally, the literature has mainly focused on the top-down implementation of entrepreneurial projects within large firms. This paper contributes to the understanding of the combination of firm- and individual-level factors that facilitate intrapreneurial behaviors of employees. It also illustrates the contextual conditions and the firms’ orientation on CE within an NTBF

Advancing Dispute Resolution by Unpacking the Sources of Conflict: Toward an Integrated Framework

Organizational leaders, public policy makers, dispute resolution professionals, and scholars have developed diverse methods for resolving workplace conflict. But there is inadequate recognition that the effectiveness of a dispute resolution method depends on its fit with the source of a particular conflict. Consequently, it is essential to better understand where conflict comes from and how this affects dispute resolution. To these ends, this paper uniquely integrates scholarship from multiple disciplines to develop a multi-dimensional framework on the sources of conflict. This provides an important foundation for theorizing and identifying effective dispute resolution methods, which are more important than ever as the changing world of work raises new issues, conflicts, and institutions

Adoption as a Social Marker: Innovation Diffusion with Outgroup Aversion

Social identities are among the key factors driving behavior in complex societies. Signals of social identity are known to influence individual behaviors in the adoption of innovations. Yet the population-level consequences of identity signaling on the diffusion of innovations are largely unknown. Here we use both analytical and agent-based modeling to consider the spread of a beneficial innovation in a structured population in which there exist two groups who are averse to being mistaken for each other. We investigate the dynamics of adoption and consider the role of structural factors such as demographic skew and communication scale on population-level outcomes. We find that outgroup aversion can lead to adoption being delayed or suppressed in one group, and that population-wide underadoption is common. Comparing the two models, we find that differential adoption can arise due to structural constraints on information flow even in the absence of intrinsic between-group differences in adoption rates. Further, we find that patterns of polarization in adoption at both local and global scales depend on the details of demographic organization and the scale of communication. This research has particular relevance to widely beneficial but identity-relevant products and behaviors, such as green technologies, where overall levels of adoption determine the positive benefits that accrue to society at large.Comment: 26 pages, 10 figure

Economic Transformation: the New Spiritual Leadership Model in Blimbingsari Village Jembrana Bali

A spiritual leader can appear in any situation. It can not be just a genetic theory that allows a person to be a spiritual leader but is supported by social theory and ecological theory. In addition to the above theory, there is one more the most fundamental theory of the emergence of a spiritual leader of Divine theory.    The aim of this study is to identify the meaning of spiritual leadership in Blimbingsari Village, to identify the principle of spiritual leadership in Blimbingsari Village, and to analyze what does the spiritual Leader do to the economic transformation of Blimbingsari village.    The methodology used is qualitative with data collection techniques are participant observation or participatory nature of direct involvement, interview, literature review, case study, and documentation.  Village leaders Blimbingsari always increase leadership capacity through the intervention of the factors of spiritual values, work ethics, social capital, and entrepreneurial factors. These factors are growing in the middle of the village of Blimbingsari understood as a pattern of beliefs, values, and behaviors and leaders as agents of change do the role and relationship with the community intensive because it is influenced by historical trends, social attitudes, and socioeconomic factors

Cognitive modeling of social behaviors

To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual mind as ways of carrying out activities. This requires for the psychologist a shift from only modeling goals and tasks —why people do what they do—to modeling behavioral patterns—what people do—as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). To illustrate these ideas, this article presents an extract from a Brahms simulation of the Flashline Mars Arctic Research Station (FMARS), in which a crew of six people are living and working for a week, physically simulating a Mars surface mission. The example focuses on the simulation of a planning meeting, showing how physiological constraints (e.g., hunger, fatigue), facilities (e.g., the habitat’s layout) and group decision making interact. Methods are described for constructing such a model of practice, from video and first-hand observation, and how this modeling approach changes how one relates goals, knowledge, and cognitive architecture. The resulting simulation model is a powerful complement to task analysis and knowledge-based simulations of reasoning, with many practical applications for work system design, operations management, and training