Intention to use abstract sentence classification technology

Connor Stead; Stephen Smith; Peter Busch; Savanid Vatanasakdakul

Intention to use abstract sentence classification technology

Connor Stead^*, Stephen Smith, Peter Busch, Savanid Vatanasakdakul

^*Corresponding author for this work

School of Computing

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

2 Citations (Scopus)

28 Downloads (Pure)

Abstract

This paper introduces research in progress to study the intention of researchers to use academic abstract sentence classification technology when undertaking literature acquisition activities. We introduce an enhanced prototypical academic abstract sentence classification system capable of performing on demand sentence classification for metadata results from several academic literature indices. We also outline a preliminary theoretical information systems model developed to explore the intention of researchers to use the system when searching for literature via digital means. Additionally, we provide the survey instrument to be used for review. The overarching body of work this paper introduces will benefit the research community as it is the first time primary research has been conducted to examine the utility of this technology to improve the way researchers interact more efficiently with the large body
of literature digitally available.

Original language	English
Title of host publication	2021 Australasian Conference on Information Systems, Proceedings
Place of Publication	Atlanta, Ga
Publisher	AIS Electronic Library (AISeL)
Pages	1-8
Number of pages	8
Publication status	Published - 2021
Event	Australasian Conference on Information Systems 2021: Information Systems for a Sustainable Future, Connectedness, and Social Good - Online, Sydney Duration: 6 Dec 2021 → 10 Dec 2021 http://www.acis2021.org/

Conference

Conference	Australasian Conference on Information Systems 2021
Abbreviated title	ACIS2021
City	Sydney
Period	6/12/21 → 10/12/21
Internet address	http://www.acis2021.org/

Bibliographical note

Copyright the Author(s) 2021. 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.

Keywords

abstract sentence classification
machine learning
natural language processing
intention to use
information systems success
intention to use

Access to Document

Publisher version (opena access)Final published version, 308 KBLicence: CC BY

https://aisel.aisnet.org/acis2021/83/

Cite this

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title = "Intention to use abstract sentence classification technology",

abstract = "This paper introduces research in progress to study the intention of researchers to use academic abstract sentence classification technology when undertaking literature acquisition activities. We introduce an enhanced prototypical academic abstract sentence classification system capable of performing on demand sentence classification for metadata results from several academic literature indices. We also outline a preliminary theoretical information systems model developed to explore the intention of researchers to use the system when searching for literature via digital means. Additionally, we provide the survey instrument to be used for review. The overarching body of work this paper introduces will benefit the research community as it is the first time primary research has been conducted to examine the utility of this technology to improve the way researchers interact more efficiently with the large body of literature digitally available.",

keywords = "abstract sentence classification, machine learning, natural language processing, intention to use, information systems success, intention to use",

author = "Connor Stead and Stephen Smith and Peter Busch and Savanid Vatanasakdakul",

note = "Copyright the Author(s) 2021. 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.; Australasian Conference on Information Systems 2021 : Information Systems for a Sustainable Future, Connectedness, and Social Good, ACIS2021 ; Conference date: 06-12-2021 Through 10-12-2021",

year = "2021",

language = "English",

pages = "1--8",

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publisher = "AIS Electronic Library (AISeL)",

url = "http://www.acis2021.org/",

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TY - GEN

T1 - Intention to use abstract sentence classification technology

AU - Stead, Connor

AU - Smith, Stephen

AU - Busch, Peter

AU - Vatanasakdakul, Savanid

N1 - Copyright the Author(s) 2021. 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 - 2021

Y1 - 2021

N2 - This paper introduces research in progress to study the intention of researchers to use academic abstract sentence classification technology when undertaking literature acquisition activities. We introduce an enhanced prototypical academic abstract sentence classification system capable of performing on demand sentence classification for metadata results from several academic literature indices. We also outline a preliminary theoretical information systems model developed to explore the intention of researchers to use the system when searching for literature via digital means. Additionally, we provide the survey instrument to be used for review. The overarching body of work this paper introduces will benefit the research community as it is the first time primary research has been conducted to examine the utility of this technology to improve the way researchers interact more efficiently with the large body of literature digitally available.

AB - This paper introduces research in progress to study the intention of researchers to use academic abstract sentence classification technology when undertaking literature acquisition activities. We introduce an enhanced prototypical academic abstract sentence classification system capable of performing on demand sentence classification for metadata results from several academic literature indices. We also outline a preliminary theoretical information systems model developed to explore the intention of researchers to use the system when searching for literature via digital means. Additionally, we provide the survey instrument to be used for review. The overarching body of work this paper introduces will benefit the research community as it is the first time primary research has been conducted to examine the utility of this technology to improve the way researchers interact more efficiently with the large body of literature digitally available.

KW - abstract sentence classification

KW - machine learning

KW - natural language processing

KW - intention to use

KW - information systems success

KW - intention to use

UR - http://www.scopus.com/inward/record.url?scp=85174612826&partnerID=8YFLogxK

M3 - Conference proceeding contribution

SP - 1

EP - 8

BT - 2021 Australasian Conference on Information Systems, Proceedings

PB - AIS Electronic Library (AISeL)

CY - Atlanta, Ga

T2 - Australasian Conference on Information Systems 2021

Y2 - 6 December 2021 through 10 December 2021

ER -

Intention to use abstract sentence classification technology

Abstract

Conference

Bibliographical note

Keywords

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