Information from the abstract
Small hospitality and tourism enterprises in border provinces frequently experience the “Transit Corridor Effect”—a phenomenon where high transit volume yields unexpectedly low economic retention and structural disadvantages for local firms. To understand how external networking functions in these peripheral contexts, this study used Social Network Analysis to evaluate the external bridging networks of 100 small enterprises in Nong Khai, Thailand. Cooperative ties with 16 organizations were mapped to compute Closeness Centrality scores. The findings reveal severe structural isolation, with 63 percent of enterprises operating without external ties. The remaining networked firms exhibit a structural bifurcation, dividing into two disconnected sub—groups reliant on either public administrative support or private digital platforms. Statistically, only owner gender and firm profitability correlated significantly with higher closeness centrality, while firm size, age, and technology dependence did not. These results align with borderlands theories of peripheral economic dependency. By linking border geography to enterprise network structure, this study underscores an urgent need for targeted policies to integrate isolated firms and utilize network centrality as a diagnostic tool for regional development.
Why this record is monitored
This record has an Impact Signal of 82/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.
Related topics: Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Customer Service Quality and Loyalty
Thai researcher and institutional participation
Piriya Pholphirul · Akkaranai Kwanyou · Pungpond Rukumnuaykit · Teerawat Charoenrat · National Institute of Development Administration · Thammasat University · Chulalongkorn University · Khon Kaen University
Data limitations
This page is a bibliographic record based on abstract-level information, not a full analysis or quality assessment. Verify the DOI and original article before citation.