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DC Field | Value | Language |
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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 | |
Appears in Collections: | Scopus 1983-2021 |
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