Toggle Main Menu Toggle Search

Open Access padlockePrints

Business-Civil Society Collaborations in South Korea: A Multi-Stage Pattern Matching Study

Lookup NU author(s): Professor Noemi SinkovicsORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

In this study, we use an empirical example to demonstrate how a multi-stage pattern matching process can inform and substantiate the construction of partial least squares (PLS) models and the subsequent interpretation of and theorizing from the findings. We document the research process underlying our empirical investigations of business – civil society collaborations in South Korea. The four-step process we outline in this paper can be used to ensure the meaningfulness of the structural model as well as to maximize the use of PLS for theorizing. This methodological advancement is particularly helpful in situations when literature reference points exist, but further contextual information may add nuances to prevalent knowledge. The findings from the qualitative flexible pattern matching part of the study prompted us to conduct a multi-group analysis. The resulting path changes in the base model led to the identification of four partnering strategies for business-CSO collaborations: (1) partnering for visibility; (2) partnering for compliance; (3) partnering for responsibility outsourcing; and (4) partnering for value co-creation.


Publication metadata

Author(s): Sinkovics N, Kim J, Sinkovics RR

Publication type: Article

Publication status: Published

Journal: Management International Review

Year: 2022

Volume: 62

Issue: 4

Pages: 471-516

Print publication date: 01/08/2022

Online publication date: 19/09/2022

Acceptance date: 02/06/2022

Date deposited: 06/09/2024

ISSN (print): 0938-8249

ISSN (electronic): 1861-8901

Publisher: Springer Nature

URL: https://doi.org/10.1007/s11575-022-00476-z

DOI: 10.1007/s11575-022-00476-z


Altmetrics

Altmetrics provided by Altmetric


Share