eprintid: 32878
rev_number: 16
eprint_status: archive
userid: 5878
dir: disk0/00/03/28/78
datestamp: 2023-02-15 10:22:00
lastmod: 2023-03-14 08:17:07
status_changed: 2023-02-15 10:22:00
type: article
metadata_visibility: show
creators_name: Glückler, Johannes
creators_name: Panitz, Robert
creators_name: Hammer, Ingmar
title: SONA: A relational methodology to identify structure in networks
subjects: ddc-300
divisions: i-120700
divisions: i-999999
keywords: Social network analysis, organizational networks, research methodology, mixed-methods
note: Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz bzw. Nationallizenz frei zugänglich. *** This publication is freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
abstract: The study of networks has been characterized by a dualism of methods. Researchers either use interpretive methods to explore the quality of social relations, or quantitative methods to assess the formal structure of network connectivity. However, because relational and structural characteristics of networks are interdependent, we present a method for Situational Organizational Network Analysis to overcome this dualism. In sequencing and integrating qualitative, quantitative and action research techniques, SONA is designed to help unveil authentic understandings of socially meaningful structure in compliance with research ethics. Drawing on a decade of research experience we describe the workings of this integrative method and elaborate on its valued-added compared to single methods. Building on selected applications, we demonstrate how the tailored use of SONA enhances cross-validation, supports original theory-building, and empowers reflexive transformative research.
date: 2020
publisher: De Gruyter
id_scheme: DOI
id_number: 10.11588/heidok.00032878
official_url: https://doi.org/10.1515/zfw-2020-0003
ppn_swb: 1835717616
own_urn: urn:nbn:de:bsz:16-heidok-328788
language: eng
bibsort: GLUCKLERJOSONAARELAT2020
full_text_status: public
publication: Zeitschrift für Wirtschaftsgeographie
volume: 64
number: 3
place_of_pub: Berlin
pagerange: 121-133
issn: 0044-3751 (Druck-Ausg.); 2365-7693 (Online-Ausg.)
edition: Zweitveröffentlichung
citation:   Glückler, Johannes ; Panitz, Robert ; Hammer, Ingmar  (2020) SONA: A relational methodology to identify structure in networks.  Zeitschrift für Wirtschaftsgeographie, 64 (3).  pp. 121-133.  ISSN 0044-3751 (Druck-Ausg.); 2365-7693 (Online-Ausg.)     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/32878/1/10.1515_zfw-2020-0003.pdf