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

Amara Atif; Deborah Richards; Ayse Bilgin

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

Amara Atif, Deborah Richards, Ayse Bilgin

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

24 Citations (Scopus)

85 Downloads (Pure)

Abstract

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. Atif, Richards and Bilgin

Original language	English
Title of host publication	ACIS 2012: Location, Location, Location
Subtitle of host publication	Proceedings of the 23rd Australasian Conference on Information Systems
Editors	John Lamp
Place of Publication	Melbourne
Publisher	Deakin University
Pages	1-10
Number of pages	10
ISBN (Print)	9781741561722
Publication status	Published - 2012
Event	23rd Australasian Conference on Information Systems, ACIS 2012 - Geelong, VIC, Australia Duration: 3 Dec 2012 → 5 Dec 2012

Other

Other	23rd Australasian Conference on Information Systems, ACIS 2012
Country/Territory	Australia
City	Geelong, VIC
Period	3/12/12 → 5/12/12

Bibliographical note

Copyright to Authors. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

Publisher version (open access).pdfFinal published version, 139 KB

Cite this

@inproceedings{a1e0de8e78e843c4941855fa6472326d,

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

abstract = "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. Atif, Richards and Bilgin",

author = "Amara Atif and Deborah Richards and Ayse Bilgin",

note = "Copyright to Authors. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 23rd Australasian Conference on Information Systems, ACIS 2012 ; Conference date: 03-12-2012 Through 05-12-2012",

year = "2012",

language = "English",

isbn = "9781741561722",

pages = "1--10",

editor = "John Lamp",

booktitle = "ACIS 2012: Location, Location, Location",

publisher = "Deakin University",

address = "Australia",

}

Atif, A, Richards, D & Bilgin, A 2012, Estimating non-response bias in a web-based survey of technology acceptance: a case study of unit guide information systems. in J Lamp (ed.), ACIS 2012: Location, Location, Location: Proceedings of the 23rd Australasian Conference on Information Systems. Deakin University, Melbourne, pp. 1-10, 23rd Australasian Conference on Information Systems, ACIS 2012, Geelong, VIC, Australia, 3/12/12.

Estimating non-response bias in a web-based survey of technology acceptance: a case study of unit guide information systems. / Atif, Amara; Richards, Deborah ; Bilgin, Ayse.
ACIS 2012: Location, Location, Location: Proceedings of the 23rd Australasian Conference on Information Systems. ed. / John Lamp. Melbourne: Deakin University, 2012. p. 1-10.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Estimating non-response bias in a web-based survey of technology acceptance

T2 - 23rd Australasian Conference on Information Systems, ACIS 2012

AU - Atif, Amara

AU - Richards, Deborah

AU - Bilgin, Ayse

N1 - Copyright to Authors. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2012

Y1 - 2012

N2 - 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. Atif, Richards and Bilgin

AB - 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. Atif, Richards and Bilgin

UR - http://www.scopus.com/inward/record.url?scp=84878281886&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:84878281886

SN - 9781741561722

SP - 1

EP - 10

BT - ACIS 2012: Location, Location, Location

A2 - Lamp, John

PB - Deakin University

CY - Melbourne

Y2 - 3 December 2012 through 5 December 2012

ER -

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

Abstract

Other

Bibliographical note

Access to Document

Other files and links

Fingerprint

A model for enhancing empowerment in farmers using mobile based information system

A theory of change framework for developing cross-faculty programs: An information systems perspective

Predicting the acceptance of unit guide information systems

Cite this