Unravelling the threads of belongingness: an investigation into the need for inclusion

Purpose This paper aims to gain insight into the current understanding of the need to belong and how its significance evolves over time, while also suggesting future research directions based on a comprehensive content analysis. Design/methodology/approach This study employs a systematic literature review (SLR) and content analysis approach to explore the domain related to need to belong (NTB) until the year 2024. Following a methodologically structured approach, this research employed the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. Further, the study synthesized 80 pertinent academic articles and organized them into a review framework using 4 W’s framework – What, Where, How and Why along with the Theory, Context, Characteristics, and Methodology (TCCM) framework. Findings This SLR synthesizes the findings from a diverse array of studies. Various perspectives on defining, evaluating and fostering a sense of belonging have obstructed the much-needed advancement in this urgent and significant subject. The present study delineated the four primary themes and the corresponding four subthemes that emerged from the systematic clustering of scholarly articles within the literature review. Originality/value To the authors’ knowledge, this research presents one of the initial SLRs focused on the concept of NTB that is grounded in a framework and outlines an agenda for future research.

Authors

Institutions

Publication Details

Journal
Global Knowledge Memory and Communication
Published
2025-09-19
DOI
https://doi.org/10.1108/gkmc-03-2025-0225
Citations
2
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
4.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unravelling the threads of belongingness: an investigation into the need for inclusion

Meha Joshi, Lata Kumari Pandey, Sanjeev K. Bansal, Anmol Gulati et al.
2 citations
Global Knowledge Memory and Communication
Psychological Well-being and Life Satisfaction
4.88
article

Unravelling the threads of belongingness: an investigation into the need for inclusion

Meha Joshi, Lata Kumari Pandey, Sanjeev K. Bansal, Anmol Gulati, Kriti Kishor
article en
2 citations

Abstract

Purpose This paper aims to gain insight into the current understanding of the need to belong and how its significance evolves over time, while also suggesting future research directions based on a comprehensive content analysis. Design/methodology/approach This study employs a systematic literature review (SLR) and content analysis approach to explore the domain related to need to belong (NTB) until the year 2024. Following a methodologically structured approach, this research employed the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. Further, the study synthesized 80 pertinent academic articles and organized them into a review framework using 4 W’s framework – What, Where, How and Why along with the Theory, Context, Characteristics, and Methodology (TCCM) framework. Findings This SLR synthesizes the findings from a diverse array of studies. Various perspectives on defining, evaluating and fostering a sense of belonging have obstructed the much-needed advancement in this urgent and significant subject. The present study delineated the four primary themes and the corresponding four subthemes that emerged from the systematic clustering of scholarly articles within the literature review. Originality/value To the authors’ knowledge, this research presents one of the initial SLRs focused on the concept of NTB that is grounded in a framework and outlines an agenda for future research.

Global Knowledge Memory and Communication
University of Allahabad (IN), Indian Institute of Information Technology Allahabad (IN), Indira Gandhi Delhi Technical University for Women (IN), Chitkara University (IN), Punjab Technical University (IN)
Openalex Percentile: Top 5%
Psychological Well-being and Life Satisfaction
4.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.