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Original Research

DIGITAL DEVELOPMENT TO STRENGTHEN TOURISM SUPPLY CHAIN POTENTIAL OF PARTICIPATORY COMMUNITY-BASED TOURISM ENTERPRISES

Dr. TOMMANEE SOOKSAI 1, ANCHALEE HIRANPHAET 2, Dr. WISSAWA AUNYAWONG 3, MOHD RIZAIMY SHAHARUDIN 4, Dr. ANAKE NAMMAKHUNT 5, Dr. KAJORNPONG POOLSAWAD 6, Dr. AKARAPHUN RATASUK 7.

Vol 17, No 07 ( 2022 )   |  DOI: 10.5281/zenodo.6874846   |   Author Affiliation: College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Thailand 1,2,3; Assistant Professor, Smart Manufacturing Research Institute (SMRI), University Technology MARA, Malaysia 4; Digital Business Computer, Thonburi University, Thailand 5; Faculty of Education, Chulalongkorn University, Thailand. 6; TPS Restaurant Group Company Limited 7.   |   Licensing: CC 4.0   |   Pg no: 399-408   |   To cite: Dr. TOMMANEE SOOKSAI, et al.,(2022). DIGITAL DEVELOPMENT TO STRENGTHEN TOURISM SUPPLY CHAIN POTENTIAL OF PARTICIPATORY COMMUNITY-BASED TOURISM ENTERPRISES. 17(07), 399–408. https://doi.org/10.5281/zenodo.6874846   |   Published on: 18-07-2022

Abstract

This study was a research program to integrate studies on storage system, intelligent information recommendation application, and social media to strengthen the potential of the community-based tourism supply chain. The series of research project consisted of 3 sub-researches focused on collecting data from population and sample mutually to develop a digital presentation model that can effectively strengthen the tourism supply chain. There were 52 groups of population answering the Likert Scale questionnaire and joining semi-structured in-depth interview to allow the interviewee to express their opinions independently. Then the community enterprises with a readiness level of 80% or more were selected were selected for each research project consistently. Finally, when the research results of each sub-research project were obtained, a website was created to compile the research results into a research project series. The study found that the 8 tourism community enterprises qualified to participate in research projects with 80% or more readiness, ranked in category B at the most, accounting for 15.38%,andthe least 1 enterprise in category A or 1.92%.Overall 9 community enterprises were able to participate in research projects, representing 17.30%. When integrating the research results into a website, it was found that the sub-research results consisted of 3 parts: number 1 displaying the digital addition point in the storage system, number 2 showing the download point of the intelligent information recommendation application, and number 3 exposing the data link to display on social media.


Keywords

Digital, Tourism, Community Enterprise, Supply Chain