Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems

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Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems

Atif, Amara, Richards, Deborah and Bilgin, Ayse 2012, Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems, in ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012, ACIS, [Geelong, Vic.], pp. 1-10.

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Title	Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems
Author(s)	Atif, Amara Richards, Deborah Bilgin, Ayse
Conference name	Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria)
Conference location	Geelong, Victoria
Conference dates	3-5 Dec. 2012
Title of proceedings	ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Editor(s)	Lamp, John orcid.org/0000-0003-1891-0400
Publication date	2012
Conference series	Australasian Conference on Information Systems
Start page	1
End page	10
Total pages	10
Publisher	ACIS
Place of publication	[Geelong, Vic.]
Keyword(s)	non-response bias web-based survey response rate wave analysis Unit Guide Information System (UGIS)
Summary	Surveys are mostly challenged by response rates. Among the various types of survey research, web-based (internet-based/electronic/online) surveys are commonly used for data collection for a geographically diverse population. In surveys with high/low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response there are different approaches and techniques that help to identify reasons of non-response bias. The aims of this paper are twofold. (1) To provide an appropriate, interesting and important non-response bias case study for future web-based surveys that will provide guidance to other Information Systems researchers. The case-study concerns an online-survey to evaluate a technology acceptance model for Unit Guide Information systems (UGIS). (2) To discuss how nonresponse bias in a web-based technology acceptance study of an information system (UGIS in this case) can be contained and managed.
Notes	Reproduced with the kind permission of the copyright owner.
Language	eng
Field of Research	089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective	970108 Expanding Knowledge in the Information and Computing Sciences
Related work	DU:30049020
Copyright notice	©2012, The Authors/ACIS
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30049121

Document type:	Conference Paper
Collections:	ACIS : Proceedings of the 23rd Australasian Conference on Information Systems 2012 Open Access Collection


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