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Journal ArticleDOI

The friendship network as a decision-making resource: Dispositional moderators of social influences on organizational choice.

Martin Kilduff
- 01 Jan 1992 - 
- Vol. 62, Iss: 1, pp 168-180
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TLDR
The authors found that personality types hypothesized to differ in their preferences for social comparison information did differ significantly both with respect to how much their decision patterns resembled those of their friends and with the criteria they used in the decision-making process.
Abstract
The patterns of interview choices of 170 Masters of Business Administration students were tracked unobtrusively over 5 months. Two personality variables, self-monitoring (SM) and social uniqueness, were used to partition the sample. The results confirmed that personality types hypothesized to differ in their preferences for social comparison information did differ significantly both with respect to how much their decision patterns resembled those of their friends and with respect to the criteria they used in the decision-making process. In contrast to recent critiques of the SM construct, the research provides evidence in support of an SM typology assessed by a unitary factor underlying responses to the Self-Monitoring Scale. In general, the results suggest that the social network, as a decision-making resource, may be as much an expression of personality as it is a constraint on individual choice. When individuals make decisions they are often influenced by what other people like themselves are saying and doing. This basic insight is crucial to the burgeoning literature on social networks that uses Festinger's (1954) social comparison theory as a starting point for sophisticated field studies of social influence processes (e.g., Burt, 1987; see Gartrell, 1987, for a review). The social network approach differs from traditional approaches in psychology in that it focuses on relations between people, rather than on attributes of people. For example, it measures the existence of friendship ties between individuals, rather than the friendliness of each individual (e.g., Krackhardt & Porter, 1985). The network approach can test whether the pattern of such ties in a particular social world is related to other important patterns, such as the pattern of similarity in cognitive perceptions (e.g., Krackhardt & Kilduff, 1990). Recently, network research has contributed many new insights concerning how structural relations affect important outcomes (e.g., Brass, 1981; Burt, 1987; Kilduff, 1990; Krackhardt & Porter, 1986; see Knoke & Kuklinski, 1982, for an excellent

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Taking Stock of Networks and Organizations: A Multilevel Perspective

TL;DR: The central argument of network research is that actors are embedded in networks of interconnected social relationships that offer opportunities for and constraints on behavior as discussed by the authors, and the authors of this paper review the antecedents and consequences of networks at the interpersonal, interunit, and interorganizational levels of analysis, evaluate recent theoretical and empirical trends, and give directions for future research.
Journal ArticleDOI

Consumers' Need for Uniqueness: Scale Development and Validation

TL;DR: A trait measure of consumers' need for uniqueness is developed and validated as an individual's pursuit of differentness relative to others that is achieved through the acquisition, utilization, and disposition of consumer goods for the purpose of developing and enhancing one's personal and social identity.
Journal ArticleDOI

The social networks of high and low self-monitors: Implications for workplace performance

TL;DR: This article examines how different personality types create and benefit from social networks in organizations using data from a 116-member high-technology firm to test how self-monitoring orientation and network position related to work performance.
Journal ArticleDOI

Tie and Network Correlates of Individual Performance in Knowledge-Intensive Work

TL;DR: The authors argue that individual performance in knowledge-intensive work is associated with properties of both networks and ties, and that such properties are associated with relationships crossing organizational boundaries, physical barriers, or physical barriers.
Journal ArticleDOI

Self-monitoring: Appraisal and reappraisal.

TL;DR: A quantitative method is proposed to examine the self-monitoring literature and thereby address major issues of the controversy and reveals that a wide range of external criteria tap a dimension directly measured by the Self-Monitoring Scale.
References
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Journal ArticleDOI

Coefficient alpha and the internal structure of tests.

TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
Book

Organizational Culture and Leadership

TL;DR: A review of the book "Organizational Culture and Leadership" by Edgar H. Schein is given in this article, where the authors present a review of their approach to organizational culture and leadership.
Journal ArticleDOI

A Theory of Social Comparison Processes

Leon Festinger
- 01 May 1954 - 
TL;DR: In this article, the authors pointed out that there is a strong functional tie between opinions and abilities in humans and that the ability evaluation of an individual can be expressed as a comparison of the performance of a particular ability with other abilities.
Posted Content

Organizational Culture and Leadership

TL;DR: In this article, the author analyzes the maturing research in the field of organization studies - the available ethnographic methods, participant observation, qualitative research, and clinical research, concluding that culture functions to solve an organization's basic problems of surviving in the external environment and integrating its internal processes to ensure its continued survival.
Journal ArticleDOI

Use of Ranks in One-Criterion Variance Analysis

TL;DR: In this article, a test of the hypothesis that the samples are from the same population may be made by ranking the observations from from 1 to Σn i (giving each observation in a group of ties the mean of the ranks tied for), finding the C sums of ranks, and computing a statistic H. Under the stated hypothesis, H is distributed approximately as χ2(C − 1), unless the samples were too small, in which case special approximations or exact tables are provided.