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Featured researches published by Z. Sasovova.


Administrative Science Quarterly | 2010

Network Churn: The Effects of Self-Monitoring Personality on Brokerage Dynamics

Z. Sasovova; Ajay Mehra; Stephen P. Borgatti; Michaéla C. Schippers

The apparent stability of social network structures may mask considerable change and adjustment in the ties that make up the structures. In this study, we theorize and test—using longitudinal data on friendship relations from a radiology department located in the Netherlands—the idea that the characteristics of this “network churn” and the resultant brokerage dynamics are traceable to individual differences in self-monitoring personality. High self-monitors were more likely than low self-monitors to attract new friends and to occupy new bridging positions over time. In comparison to low self-monitors, the new friends that high self-monitors attracted tended to be relative strangers, in the sense that they were unconnected with previous friends, came from different functions, and more efficiently increased the number of structural holes in the resultant network. Our study suggests that dispositional forces help shape the dynamic structuring of networks: individuals help (re)create the social network structures they inhabit.


Industrial Management and Data Systems | 2017

Estimating hierarchical constructs using consistent partial least squares : The case of second-order composites of common factors

Allard Van Riel; Jörg Henseler; Ildikó Kemény; Z. Sasovova

Purpose Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs. Design/methodology/approach The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research. Findings The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches. Research limitations/implications Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates. Originality/value The three-stage approach is the only consistent approach for modeling, estimating, and testing composite second-order constructs made up of reflectively measured first-order constructs.


Best Paper proceedings Academy of Management 2006, Atlanta, Georgia | 2006

TO DISLIKE AND TO BE LIKED: SELF-MONITORING, AFFECT-INTENSIVE RELATIONS AND WORK PERFORMANCE.

Z. Sasovova

The article examines the relationship between self-monitoring employees, interpersonal relationships in the workplace and individual work performance. Self-monitoring has to do with a persons abil...


Academy of Management Proceedings | 2016

New Product Screening Decision-Making - A Group-Level Absorptive Capacity Perspective

Wafa Hammedi; Z. Sasovova; Allard Van Riel

Top management teams, specifically new product proposal screening committees, must make decisions under conditions of information scarcity, complexity, and ambiguity. We investigate the effects of ...


Academy of Management Proceedings | 2013

Implicit Coordination in NPD Project Teams: Exploring its Dimensions, Antecedents and Consequences

Abdessamad Ennabih; Allard Van Riel; Z. Sasovova

Cross-functional teams cope with the complexity and uncertainty of new product development (NPD) projects by coordinating the activities of their members. Recent research on team cognition suggests that effective teams are able to implicitly coordinate without overt communication or formal planning (traditional coordination mechanisms that are often associated with project delays and cost overruns). In this conceptual paper, we review the extant literature on NPD, team cognition, and proactive behavior to conceptualize implicit coordination (IC) in NPD projects. First, we propose a two-dimensional IC construct suggesting that IC is the result of both a complex cognitive process (anticipation, which refers to expectations about team members’ needs and constraints and the demands of the current task) and a behavioral process (dynamic adjustment, referring to the actions that team members choose based on their anticipations). Second, we identify factors that facilitate or impede the ability of team members t...


Journal of Product Innovation Management | 2011

Antecedents and Consequences of Reflexivity in New Product Idea Screening

Wafa Hammedi; Allard Van Riel; Z. Sasovova


Human Resource Management | 2013

A Social Network Perspective on Turnover Intentions: The Role of Distributive Justice and Social Support

Scott M. Soltis; Filip Agneessens; Z. Sasovova; Giuseppe Joe Labianca


Journal of Product Innovation Management | 2013

Improving screening decision making through Transactive Memory Systems: A field study

Wafa Hammedi; Allard Van Riel; Z. Sasovova


americas conference on information systems | 2001

Limits to Using ERP Systems

Z. Sasovova; Michael S. H. Heng; Mike Newman


Archive | 1999

Liking and disliking: the dynamic effects of social networks during a large-scale information system implementation

M. Newman; Z. Sasovova

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Allard Van Riel

Radboud University Nijmegen

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A.C.R. van Riel

Radboud University Nijmegen

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Ajay Mehra

University of Kentucky

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A. Ennabih

Radboud University Nijmegen

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