Complexity of Organizational Identification: Measuring Ambivalent Identification
- Shohei Hayashi
Abstract
Organizational identification is the root construct of organizational phenomena. Many researchers have examined this concept in terms of identification (positive) and disidentification (negative). However, recently some researchers began focusing on ambivalent identification, which refers to the simultaneous appearance of both identification and disidentification. This new concept is likely to shed light on organizational phenomena that cannot be demonstrated by identification or disidentification alone. This study focuses on ambivalent identification. We started by creating a concrete definition for this concept. Further, we tried to develop a valid measurement for it through pilot and main studies. Consequently, we defined this concept in terms of cognitive and affective aspects and observed the complexity associated with ambivalent identification.
- Full Text: PDF
- DOI:10.5539/ibr.v7n1p49
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org