Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13824
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dc.contributor.authorSrivatanakul T.
dc.contributor.authorWiwatwattana N.
dc.date.accessioned2021-04-05T03:32:27Z-
dc.date.available2021-04-05T03:32:27Z-
dc.date.issued2014
dc.identifier.issn3029743
dc.identifier.other2-s2.0-84909602602
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13824-
dc.identifier.urihttps://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.abstractOnline 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.subjectDigital libraries
dc.subjectMarketing
dc.subjectAcademic research
dc.subjectEffective tool
dc.subjectMarketing research
dc.subjectOnline marketing
dc.subjectOnline questionnaire
dc.subjectOnline research
dc.subjectResearch topics
dc.subjectSoftware platforms
dc.subjectSurveys
dc.titleUses of online survey: A case study in Thailand
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8839, (2014), p.243-251
dc.identifier.doi10.1007/978-3-319-12823-8_25
Appears in Collections:Scopus 1983-2021

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