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

Noemi Sinkovics (), Jihye Kim () and Rudolf Sinkovics ()
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Noemi Sinkovics: University of Glasgow, Adam Smith Business School, West Quadrangle, Gilbert Scott Building
Jihye Kim: University of Dundee

Management International Review, 2022, vol. 62, issue 4, No 2, 516 pages

Abstract: 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.

Keywords: Cross-sector collaborations; Business-CSO collaboration; Corporate Social Responsibility; Flexible pattern matching; Full pattern matching; PLS-SEM (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11575-022-00476-z

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