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Uses of online survey: A case study in Thailand

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dc.contributor.author Srivatanakul T.
dc.contributor.author Wiwatwattana N.
dc.date.accessioned 2021-04-05T03:32:27Z
dc.date.available 2021-04-05T03:32:27Z
dc.date.issued 2014
dc.identifier.issn 3029743
dc.identifier.other 2-s2.0-84909602602
dc.identifier.uri https://ir.swu.ac.th/jspui/handle/123456789/13824
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-84909602602&doi=10.1007%2f978-3-319-12823-8_25&partnerID=40&md5=ea56fa6b571be10184bedb52f81eae8b
dc.description.abstract Online survey is now being more widely considered as an effective tool to conduct surveys. The uses of online survey have been applied in extensive areas, for example, in academic research, marketing research, and in companies seeking to provide better services to customers and to improve HR management performance. The purpose of this paper is to identify the current usage of online surveys in Thailand created on an online survey software platform ‘SurveyCan’ in 2013. Using a more systematic approach, we classified surveys based on survey questions’ measurement objects, sponsoring bodies and their relations to the respondents. A combination of key-phrases was used to determine the measurement objects that the surveys represent. The surveys were categorized into survey types and the concepts of interest. The finding of the paper shows that online survey provides massive applications potential for a variety of research topics. Several uses of online survey in Thailand are highlighted in the paper. © Springer International Publishing Switzerland 2014.
dc.subject Digital libraries
dc.subject Marketing
dc.subject Academic research
dc.subject Effective tool
dc.subject Marketing research
dc.subject Online marketing
dc.subject Online questionnaire
dc.subject Online research
dc.subject Research topics
dc.subject Software platforms
dc.subject Surveys
dc.title Uses of online survey: A case study in Thailand
dc.type Article
dc.rights.holder Scopus
dc.identifier.bibliograpycitation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8839, (2014), p.243-251
dc.identifier.doi 10.1007/978-3-319-12823-8_25


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