Innovation and the "dark side" of personality: Dysfunctional traits and their relation to self-reported innovative characteristics

This paper explores the relationship between self-reported innovative characteristics and dysfunctional personality traits. Participants (N = 207) from a range of occupations completed the Innovation Potential Indicator (IPI) and the Hogan Development Survey (HDS). Those who reported innovative characteristics also reported the following dysfunctional traits: Arrogant, Manipulative, Dramatic, Eccentric; and lower levels of Cautious, Perfectionist and Dependent. A representative approximation of the higher order factor “moving against people” (Hogan & Hogan, 1997) was positively associated with innovative characteristics. It is concluded that innovation potential may be viewed as a positive effect of some otherwise dysfunctional traits, most notably those encompassed under the second-order HDS factor ‘moving against people’

Some Things Are Better Left Unseen: Toward More Effective Communication And Team Performance In Video-Mediated Interactions

By default, most video-mediated communication systems show the user his or her own video feed, yet there is no prior research to show if this helps or hinders communication. In general, virtual teams desire richer media to improve team interaction. However, in this case more information may not be helpful. Drawing on Objective Self Awareness theory in social psychology and theories of cognitive overload from communication, hypotheses are proposed concerning how viewing oneself influences virtual team interaction. It is argued that viewing oneself will lead to lower team performance and other negative outcomes. The hypotheses are tested in a laboratory experiment, manipulating whether participants were able to view their own feeds during video-mediated communication. The results suggest that viewing oneself leads to a reduction in team performance and individual satisfaction. The findings, in terms of several theoretical explanations, and implications for managers and systems designers are discussed in the paper

Uncovering Hidden Profiles; Managerial Interventions for Discovering Superior Decision Alternatives

A common reason for the use of teams in organizations is the idea that each individual can bring a unique perspective to the decision task; however, research shows that teams often fail to surface and use unique information to evaluate decision alternatives. Under a condition known as the hidden profile, each member uniquely possesses a critical clue needed to uncover the superior solution. Failure to share and adequately evaluate this information will result in poor decision quality. In order to mitigate this team decision-making bias, the present study utilizes experimental research to examine the impact of the devil’s advocacy technique on the decision quality of hidden profile teams. Results show that advocacy groups had higher decision qualities than groups under free discussion; however, advocacy teams also had higher levels of anger and lower levels of individual support for their group’s decision. As a result, while these teams selected the best solution, the presence of a devil’s advocate introduces conditions that may hinder the solution’s implementation. Furthermore, similar experiments with advocacy techniques suggest that the positive effect on decision quality found here is reduced in the presence of stronger hidden profiles

Towards a Theory of Software Development Expertise

Software development includes diverse tasks such as implementing new features, analyzing requirements, and fixing bugs. Being an expert in those tasks requires a certain set of skills, knowledge, and experience. Several studies investigated individual aspects of software development expertise, but what is missing is a comprehensive theory. We present a first conceptual theory of software development expertise that is grounded in data from a mixed-methods survey with 335 software developers and in literature on expertise and expert performance. Our theory currently focuses on programming, but already provides valuable insights for researchers, developers, and employers. The theory describes important properties of software development expertise and which factors foster or hinder its formation, including how developers' performance may decline over time. Moreover, our quantitative results show that developers' expertise self-assessments are context-dependent and that experience is not necessarily related to expertise.Comment: 14 pages, 5 figures, 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), ACM, 201

Measuring perfectionism in sport, dance, and exercise: Review, critique, recommendations

Over the past 25 years, a number of multidimensional measures of perfectionism has been developed. Based on different models of multidimensional perfectionism, these measures contain different numbers of subscales, and most of the time the different subscales bear different names. This presents a confusing situation to researchers unfamiliar with the often complex details of the perfectionism literature who want to conduct research on perfectionism in sport, dance, and exercise and need to make a decision as to what measure to use to capture individual differences in multidimensional perfectionism. The aim of the present chapter is to give researchers some guidance in this decision. To this aim, the chapter will (a) review the available multidimensional measures that have been published in international peer-reviewed journals and (b) provide a critique of these measures. In addition, the chapter will provide (c) recommendations on which measures to use and guidance on which decisions researchers have to make when using these measures to capture perfectionism in sport, dance, and exercise

Experiential Learning in Industrial/Organizational Psychology: A Case Study

Experiential learning is considered a powerful tool for learning in college. Community-based research is one type of experiential learning that has been used to learn research skills in a variety of social science disciplines. The current case study was conducted as an experiential learning research project. A team of six students and a professor from a small Midwestern college conducted community-based research with a large agribusiness company headquartered near the college. The goal of the project was to create an effective employee-selection process for this firm and to provide an effective learning experience for students. This included development of a situational judgment test, cognitive ability testing, and personality assessment. The article focuses on steps taken to organize a community- based research project, the steps required to develop an effective selection process, and an evaluation of the experience from students, the community partners, and faculty

Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach

An increasing number of museums and cultural institutions around the world use personalized, mostly mobile, museum guides to enhance visitor experiences. However since a typical museum visit may last a few minutes and visitors might only visit once, the personalization processes need to be quick and efficient, ensuring the engagement of the visitor. In this paper we investigate the use of indirect profiling methods through a visitor quiz, in order to provide the visitor with specific museum content. Building on our experience of a first study aimed at the design, implementation and user testing of a short quiz version at the Acropolis Museum, a second parallel study was devised. This paper introduces this research, which collected and analyzed data from two environments: the Acropolis Museum and social media (i.e. Facebook). Key profiling issues are identified, results are presented, and guidelines towards a generalized approach for the profiling needs of cultural institutions are discussed

Critical Team Composition Issues for Long-Distance and Long-Duration Space Exploration: A Literature Review, an Operational Assessment, and Recommendations for Practice and Research

Prevailing team effectiveness models suggest that teams are best positioned for success when certain enabling conditions are in place (Hackman, 1987; Hackman, 2012; Mathieu, Maynard, Rapp, & Gilson, 2008; Wageman, Hackman, & Lehman, 2005). Team composition, or the configuration of member attributes, is an enabling structure key to fostering competent teamwork (Hackman, 2002; Wageman et al., 2005). A vast body of research supports the importance of team composition in team design (Bell, 2007). For example, team composition is empirically linked to outcomes such as cooperation (Eby & Dobbins, 1997), social integration (Harrison, Price, Gavin, & Florey, 2002), shared cognition (Fisher, Bell, Dierdorff, & Belohlav, 2012), information sharing (Randall, Resick, & DeChurch, 2011), adaptability (LePine, 2005), and team performance (e.g., Bell, 2007). As such, NASA has identified team composition as a potentially powerful means for mitigating the risk of performance decrements due to inadequate crew cooperation, coordination, communication, and psychosocial adaptation in future space exploration missions. Much of what is known about effective team composition is drawn from research conducted in conventional workplaces (e.g., corporate offices, production plants). Quantitative reviews of the team composition literature (e.g., Bell, 2007; Bell, Villado, Lukasik, Belau, & Briggs, 2011) are based primarily on traditional teams. Less is known about how composition affects teams operating in extreme environments such as those that will be experienced by crews of future space exploration missions. For example, long-distance and long-duration space exploration (LDSE) crews are expected to live and work in isolated and confined environments (ICEs) for up to 30 months. Crews will also experience communication time delays from mission control, which will require crews to work more autonomously (see Appendix A for more detailed information regarding the LDSE context). Given the unique context within which LDSE crews will operate, NASA identified both a gap in knowledge related to the effective composition of autonomous, LDSE crews, and the need to identify psychological and psychosocial factors, measures, and combinations thereof that can be used to compose highly effective crews (Team Gap 8). As an initial step to address Team Gap 8, we conducted a focused literature review and operational assessment related to team composition issues for LDSE. The objectives of our research were to: (1) identify critical team composition issues and their effects on team functioning in LDSE-analogous environments with a focus on key composition factors that will most likely have the strongest influence on team performance and well-being, and 1 Astronaut diary entry in regards to group interaction aboard the ISS (p.22; Stuster, 2010) 2 (2) identify and evaluate methods used to compose teams with a focus on methods used in analogous environments. The remainder of the report includes the following components: (a) literature review methodology, (b) review of team composition theory and research, (c) methods for composing teams, (d) operational assessment results, and (e) recommendations