7 resultados para determinants of plant community diversity and structure
em Aston University Research Archive
Resumo:
The authors present a model of the multilevel effects of diversity on individual learning performance in work groups. For ethnically diverse work groups, the model predicts that group diversity elicits either positive or negative effects on individual learning performance, depending on whether a focal individual’s ethnic dissimilarity from other group members is high or low. By further considering the societal status of an individual’s ethnic origin within society (Anglo versus non-Anglo for our U.K. context), the authors hypothesize that the model’s predictions hold more strongly for non-Anglo group members than for Anglo group members. We test this model with data from 412 individuals working on a 24-week business simulation in 87 four- to seven-person groups with varying degrees of ethnic diversity. Two of the three hypotheses derived from the model received full support and one hypothesis received partial support. Implications for theory development, methods, and practice in applied group diversity research are discussed.
Resumo:
Integrating sociological and psychological perspectives, this research considers the value of organizational ethnic diversity as a function of community diversity. Employee and patient surveys, census data, and performance indexes relevant to 142 hospitals in the United Kingdom suggest that intraorganizational ethnic diversity is associated with reduced civility toward patients. However, the degree to which organizational demography was representative of community demography was positively related to civility experienced by patients and ultimately enhanced organizational performance. These findings underscore the understudied effects of community context and imply that intergroup biases manifested in incivility toward out-group members hinder organizational performance.
Resumo:
The dramatic GDP and export growth of Ireland over the last decade forms a marked contrast with that of its nearest neighbour Northern Ireland. In Ireland, export volume growth averaged 15.5% p.a. from 1991 to 1999 compared with 6.3% from Northern Ireland. Using data on individual manufacturing plants this paper considers the determinants of export performance in the two areas. Larger, externally owned plants with higher skill levels are found to have the highest export propensities in both areas. Other influences (plant age, R&D, etc.) prove more strongly conditional on location, plant size, and ownership. Structural factors (e.g. ownership, industry) explain almost all of the difference in export propensity between larger plants in Northern Ireland and Ireland but only around one-third of that between smaller plants. Significant differences are also evident between plants in terms of their sources of new technology. For indigenously owned plants, inhouse R&D is important. For externally owned plants, R&D conducted elsewhere in the group - typically outside Ireland and Northern Ireland - proves more significant. This external dependency and lower than expected export propensity on the part of small plants in Northern Ireland represent significant policy challenges for the future.© 2006 Scottish Economic Society. Published by Blackwell Publishing Ltd.
Resumo:
Purpose – This paper aims to report on a study that contributes to the understanding of the determinants of corporate social responsibility (CSR) in the largest emerging market, namely China. Design/methodology/approach – The approach is a survey of 600 hotels that resulted in 143 returned responses from top managers. Findings – Market orientation is the most significant predicator of CSR followed by government regulations. In contrast, ownership structure is found to have little effect. Originality/value – Previous research on CSR focuses on its nature and impact on business performance, and is carried out mainly in developed countries. This research contributes to one's understanding of the determinants of CSR in emerging markets like China. © 2007, Emerald Group Publishing Limited
Resumo:
Some researchers argue that the top team, rather than the CEO, is a better predictor of an organisation’s fate (Finkelstein & Hambrick, 1996; Knight et al., 1999). However, others suggest that the importance of the top management team (TMT) composition literature is exaggerated (West & Schwenk, 1996). This has stimulated a need for further research on TMTs. While the importance of TMT is well documented in the innovation literature, the organisational environment also plays a key role in determining organisational outcomes. Therefore, the inclusion of both TMT characteristics and organisational variables (climate and organisational learning) in this study provides a more holistic picture of innovation. The research methodologies employed includes (i) interviews with TMT members in 35 Irish software companies (ii) a survey completed by managerial respondents and core workers in these companies (iii) in-depth interviews with TMT members from five companies. Data were gathered in two phases, time 1 (1998-2000) and time 2 (2003). The TMT played an important part in fostering innovation. However, it was a group process, rather than team demography, that was most strongly associated with innovation. Task reflexivity was an important predictor of innovation time 1, time 2). Only one measure of TMT diversity was associated with innovation - tenure diversity -in time 2 only. Organisational context played an important role in determining innovation. This was positively associated with innovation - but with one dimension of organisational learning only. The ability to share information (access to information) was not associated with innovation but the motivation to share information was (perceiving the sharing of information to be valuable). Innovative climate was also associated with innovation. This study suggests that this will lead to innovative outcomes if employees perceive the organisation to support risk, experimentation and other innovative behaviours.
Resumo:
Descriptions of vegetation communities are often based on vague semantic terms describing species presence and dominance. For this reason, some researchers advocate the use of fuzzy sets in the statistical classification of plant species data into communities. In this study, spatially referenced vegetation abundance values collected from Greek phrygana were analysed by ordination (DECORANA), and classified on the resulting axes using fuzzy c-means to yield a point data-set representing local memberships in characteristic plant communities. The fuzzy clusters matched vegetation communities noted in the field, which tended to grade into one another, rather than occupying discrete patches. The fuzzy set representation of the community exploited the strengths of detrended correspondence analysis while retaining richer information than a TWINSPAN classification of the same data. Thus, in the absence of phytosociological benchmarks, meaningful and manageable habitat information could be derived from complex, multivariate species data. We also analysed the influence of the reliability of different surveyors' field observations by multiple sampling at a selected sample location. We show that the impact of surveyor error was more severe in the Boolean than the fuzzy classification. © 2007 Springer.
Resumo:
This paper examines the extent to which both network structure and spatial factors impact on the organizational performance of universities as measured by the generation of industrial research income. Drawing on data concerning the interactions of universities in the UK with large research and development (R&D)-intensive firms, the paper employs both social network analysis and regression analysis. It is found that the structural position of a university within networks with large R&D-intensive firms is significantly associated with the level of research income gained from industry. Spatial factors, on the other hand, are not found to be clearly associated with performance, suggesting that universities operate on a level playing field across regional environments once other factors are controlled for.