2023
DOI: 10.1108/bij-07-2022-0485
|View full text |Cite
|
Sign up to set email alerts
|

Knowledge transfer and innovation in multinationals: a review of the literature using SCM-TBFO framework

Abstract: PurposeBusiness research has highlighted the importance of knowledge transfer and innovation in multinational firms for better performance outcomes. However, the existing body of literature is characterized by differentiated theories, antecedents and outcomes. This study aims to address this gap by adopting a systematic approach to analyze knowledge transfer and innovation literature from the perspective of multinational organizations.Design/methodology/approachThis study follows “preferred reporting items for… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(2 citation statements)
references
References 142 publications
0
2
0
Order By: Relevance
“…The literature data for this study is collected from the Scopus citation database. For bibliometrics, Scopus is considered one of the standard sources of data (Gong et al ., 2019; Singh et al ., 2020a, b, 2021a, b; Forliano et al ., 2021; Singh and Dhir, 2023). Data is collected for a period of 43 years (1980–2022).…”
Section: Methodsmentioning
confidence: 99%
“…The literature data for this study is collected from the Scopus citation database. For bibliometrics, Scopus is considered one of the standard sources of data (Gong et al ., 2019; Singh et al ., 2020a, b, 2021a, b; Forliano et al ., 2021; Singh and Dhir, 2023). Data is collected for a period of 43 years (1980–2022).…”
Section: Methodsmentioning
confidence: 99%
“…In terms of utilization of software, the present study utilizes Vosviewer and Biblioshiny, whereas future studies may use unsupervised machine learning, CiteSpace. The study utilizes TCCM framework in content analysis, whereas future studies may use TCM-ADO (Ambika et al, 2023) and SCM-TBFO (Singh and Dhir, 2023) for detailed results. Table 14 highlights research questions based on TCCM analysis.…”
Section: Significant Context (C) Applied In Je Research (Rq4)mentioning
confidence: 99%