Communities, Knowledge Creation, and Information Diffusion

In this paper, we examine how patterns of scientific collaboration contribute to knowledge creation. Recent studies have shown that scientists can benefit from their position within collaborative networks by being able to receive more information of better quality in a timely fashion, and by presiding over communication between collaborators. Here we focus on the tendency of scientists to cluster into tightly-knit communities, and discuss the implications of this tendency for scientific performance. We begin by reviewing a new method for finding communities, and we then assess its benefits in terms of computation time and accuracy. While communities often serve as a taxonomic scheme to map knowledge domains, they also affect how successfully scientists engage in the creation of new knowledge. By drawing on the longstanding debate on the relative benefits of social cohesion and brokerage, we discuss the conditions that facilitate collaborations among scientists within or across communities. We show that successful scientific production occurs within communities when scientists have cohesive collaborations with others from the same knowledge domain, and across communities when scientists intermediate among otherwise disconnected collaborators from different knowledge domains. We also discuss the implications of communities for information diffusion, and show how traditional epidemiological approaches need to be refined to take knowledge heterogeneity into account and preserve the system's ability to promote creative processes of novel recombinations of idea

Understanding the effect of IS change: A social capital perspective

This paper argues that by adopting a social capital perspective of the effects of Information Systems (IS) implementation we are able to provide insights into both human and technological aspects of change interventions. This theoretical paper is firmly embedded within socio-technical approaches and aims to conceptualise and address concerns relating to organisational issues of systems and technology management. IS implementation inevitably impacts upon the existing work and social relationships within organisations where there is the potential experience of reduced system effectiveness through a periodic lack of coordination and control. It is evident, in this respect, that the adoption of IS produces challenges to human collaboration which clearly add a social dimension to systems management. The paper broadly outlines how a social capital perspective may determine the areas of focus from IS-driven organisational change and provide indications about potential ways to improve system and technology adoption. This may support more appropriate designs for change interventions that enable organisations to accrue more value from IS

ILR Research in Progress 2013-14

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Research_in_Progress_2013_14.pdf: 54 downloads, before Oct. 1, 2020

Society Functions Best with an Intermediate Level of Creativity

In a society, a proportion of the individuals can benefit from creativity without being creative themselves by copying the creators. This paper uses an agent-based model of cultural evolution to investigate how society is affected by different levels of individual creativity. We performed a time series analysis of the mean fitness of ideas across the artificial society varying both the percentage of creators, C, and how creative they are, p using two discounting methods. Both analyses revealed a valley in the adaptive landscape, indicating a tradeoff between C and p. The results suggest that excess creativity at the individual level can be detrimental at the level of the society because creators invest in unproven ideas at the expense of propagating proven ideas.Comment: 6 pages. arXiv admin note: text overlap with arXiv:1310.4086, arXiv:1310.378

Alternative scenarios for Hungary for the year 2025

The paper presents how the Committee on Futures Research, within Section IX. of the Hungarian Academy of Sciences (HAS), sees the possible futures for Hungary for the year 2025, based on the expertise of Hungarian futurists and social scientists, including the opinions of younger generations. It offers insight to Hungarian society in 18 years from 2007, when the research began. In cooperation with experts coming from diverse scientific backgrounds and with those who feel responsibility for the future and are willing to act upon it, we need to continue discovering our horizon albeit in a different way and to embark on new roads. In summary, we need to change the HOW and the WHAT

Drivers of organizational creativity

A path model of organizational creativity was presented; it conceptualized the influences of information sharing, learning culture, motivation, and networking on creative climate. A structural equation model was fitted to data from the pharmaceutical industry to test the proposed model. The model accounted for 86% of the variance in the creative climate dependent variable. Information sharing had a positive effect on learning culture, which in turn had a positive effect on creative climate, while there were negative direct effects of information sharing on creative climate and on intrinsic motivation. This study suggests that information sharing and intrinsic motivation are important drivers for organizational creativity in a complex R&D environment in the pharmaceutical industry. Implications of the model are discussed

An Agent-based Simulation of the Effectiveness of Creative Leadership\ud

This paper investigates the effectiveness of creative versus\ud uncreative leadership using EVOC, an agent-based model of\ud cultural evolution. Each iteration, each agent in the artificial society invents a new action, or imitates a neighbor’s action. Only the leader’s actions can be imitated by all other agents, referred to as followers. Two measures of creativity were used: (1) invention-to-imitation ratio, iLeader, which measures how often an agent invents, and (2) rate of conceptual change, cLeader, which measures how creative an invention is. High iLeader increased mean fitness of ideas, but only when creativity of followers was low. High iLeader was associated with greater diversity of ideas in the early stage of idea generation only. High Leader increased mean fitness of ideas in the early stage of idea generation; in the later stage it decreased idea fitness. Reasons for these findings and tentative implications for creative leadership in human society are discussed

Speculative Machines and Technical Mentalities. A philosophical approach to designing the future

‘Beyond their instrumental functions,’ writes Rivka Oxman in an article about design, creativity and innovation (2013), ‘advanced digital and computational environments are also becoming tools for thinking design’. At the leading edge of creativity and innovation design does not only speculate the plausible, possible or potential, but pragmatically inserts such futures into the present (as Whitehead says any ‘immediate existence’ (1962) must). Using concepts mainly from Deleuze, Guattari, Spinoza and Simondon, I will position such design speculation as pragmatic, divergent, complex and emergent. That is, as manifesting the technical mentalities (Simondon) that provide the milieu in which we can show what we ‘might be capable of’ (Stengers)