Multiple Identities Management
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Multiple Identities Management
In this ebook, a collection of 18 papers presents empirical research, as well as novel theoretical considerations, on how multiple identities are being managed by the individuals holding them. The papers draw on theories from social psychology in the context of the social identity approach. The first chapter presents eight papers on different types of multiple identity configurations in a variety of contexts, and the costs and benefits of these configurations for the individual (e.g., well-being). The second chapter gives insights on how conflict between multiple identities is managed by individuals. And the final chapter analyses how multiple identities impact intragroup and intergroup relations.
Organizational Perception Management
Author: Kimberly D. Elsbach
language: en
Publisher: Psychology Press
Release Date: 2014-06-20
This book summarizes the research findings from the relatively new domain of study called "organizational perception management" (OPM). While perception management has been studied at the individual level since the 1960's, organization-level perception management was first examined in the 1980's in the context of corporate annual reports that focused on organizational standard and performance. Since then, empirical studies have expanded the domain of organizational perception management to include the management of organizational identities, as well as the strategic management of specialized organizational images for specific audiences. The goals of Organizational Perception Management are to: *summarize and organize this evolving literature to provide a complete and comprehensive definition of OPM events and tactics; *illustrate OPM events and tactics in specific, real-world contexts; and *identify a set of research themes that may stimulate further research on OPM. This text is grounded primarily in empirical research on OPM, including qualitative field research, and uses current research and case studies to illustrate the application and effectiveness of OPM in context. As such, it will appeal to students, scholars, and practitioners of organizational management.
Information Management and Big Data
Author: Juan Antonio Lossio-Ventura
language: en
Publisher: Springer Nature
Release Date: 2021-05-11
This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020, held in Lima, Peru, in October 2020.* The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven software engineering; graph mining; and Semantic Web, repositories, and visualization. *The conference was held virtually.