How much will you pay? Understanding the value of information cues in the sharing economy

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

How much will you pay? Understanding the value of information cues in the sharing economy. / Abramova, Olga; Krasnova, Hanna; Tan, Chee Wee.

Proceedings of the 25th European Conference on Information Systems, ECIS 2017. Atlanta : Association for Information Systems, 2017. p. 1011-1028 66 (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Abramova, O, Krasnova, H & Tan, CW 2017, How much will you pay? Understanding the value of information cues in the sharing economy. in Proceedings of the 25th European Conference on Information Systems, ECIS 2017., 66, Proceedings of the 25th European Conference on Information Systems, ECIS 2017, Association for Information Systems, Atlanta, pp. 1011-1028, 25th European Conference on Information Systems, ECIS 2017, Guimaraes, Portugal, 05.06.17. <https://aisel.aisnet.org/ecis2017_rp/66/>

APA

Abramova, O., Krasnova, H., & Tan, C. W. (2017). How much will you pay? Understanding the value of information cues in the sharing economy. In Proceedings of the 25th European Conference on Information Systems, ECIS 2017 (pp. 1011-1028). [66] (Proceedings of the 25th European Conference on Information Systems, ECIS 2017). Association for Information Systems. https://aisel.aisnet.org/ecis2017_rp/66/

Vancouver

Abramova O, Krasnova H, Tan CW. How much will you pay? Understanding the value of information cues in the sharing economy. In Proceedings of the 25th European Conference on Information Systems, ECIS 2017. Atlanta: Association for Information Systems. 2017. p. 1011-1028. 66. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).

Bibtex

@inbook{f5b0913101ed4f4c93dd6952dc81e9b2,
title = "How much will you pay? Understanding the value of information cues in the sharing economy",
abstract = "The advent of peer-to-peer accommodation sharing platforms, like Airbnb, has ushered in a new era in travel worldwide. However, to ensure sustainability in the long term, information asymmetry inherent to such platforms has to be tackled. Currently, accommodation sharing platforms offer a multitude of in-built trust-enhancing cues that may reduce information asymmetry, signal trust and aid potential guests in their decision making. Nevertheless, little is known about the effectiveness of these cues in shaping online consumption behavior. Building on the Signalling Theory, this study explores the effectiveness and monetary value of three groups of trust-enhancing cues commonly deployed by service providers to promote trust in the sharing economy via a discrete choice experiment methodology. Findings from our study not only contribute to extant literature on the effectiveness of trust-enhancing cues, but they also empower platform providers and hosts through novel insights on how the performance of their offerings is evaluated by consumers.",
keywords = "Discrete choice experiment, Price premium, Sharing economy, Trust-enhancing signals, Business informatics, Informatics",
author = "Olga Abramova and Hanna Krasnova and Tan, {Chee Wee}",
note = "Publisher Copyright: {\textcopyright} 2017 Proceedings of the 25th European Conference on Information Systems, ECIS 2017. All rights reserved.; 25th European Conference on Information Systems, ECIS 2017 ; Conference date: 05-06-2017 Through 10-06-2017",
year = "2017",
language = "English",
series = "Proceedings of the 25th European Conference on Information Systems, ECIS 2017",
publisher = "Association for Information Systems",
pages = "1011--1028",
booktitle = "Proceedings of the 25th European Conference on Information Systems, ECIS 2017",
address = "United States",

}

RIS

TY - CHAP

T1 - How much will you pay? Understanding the value of information cues in the sharing economy

AU - Abramova, Olga

AU - Krasnova, Hanna

AU - Tan, Chee Wee

N1 - Publisher Copyright: © 2017 Proceedings of the 25th European Conference on Information Systems, ECIS 2017. All rights reserved.

PY - 2017

Y1 - 2017

N2 - The advent of peer-to-peer accommodation sharing platforms, like Airbnb, has ushered in a new era in travel worldwide. However, to ensure sustainability in the long term, information asymmetry inherent to such platforms has to be tackled. Currently, accommodation sharing platforms offer a multitude of in-built trust-enhancing cues that may reduce information asymmetry, signal trust and aid potential guests in their decision making. Nevertheless, little is known about the effectiveness of these cues in shaping online consumption behavior. Building on the Signalling Theory, this study explores the effectiveness and monetary value of three groups of trust-enhancing cues commonly deployed by service providers to promote trust in the sharing economy via a discrete choice experiment methodology. Findings from our study not only contribute to extant literature on the effectiveness of trust-enhancing cues, but they also empower platform providers and hosts through novel insights on how the performance of their offerings is evaluated by consumers.

AB - The advent of peer-to-peer accommodation sharing platforms, like Airbnb, has ushered in a new era in travel worldwide. However, to ensure sustainability in the long term, information asymmetry inherent to such platforms has to be tackled. Currently, accommodation sharing platforms offer a multitude of in-built trust-enhancing cues that may reduce information asymmetry, signal trust and aid potential guests in their decision making. Nevertheless, little is known about the effectiveness of these cues in shaping online consumption behavior. Building on the Signalling Theory, this study explores the effectiveness and monetary value of three groups of trust-enhancing cues commonly deployed by service providers to promote trust in the sharing economy via a discrete choice experiment methodology. Findings from our study not only contribute to extant literature on the effectiveness of trust-enhancing cues, but they also empower platform providers and hosts through novel insights on how the performance of their offerings is evaluated by consumers.

KW - Discrete choice experiment

KW - Price premium

KW - Sharing economy

KW - Trust-enhancing signals

KW - Business informatics

KW - Informatics

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UR - https://aisel.aisnet.org/ecis2017_rp/66/

M3 - Article in conference proceedings

AN - SCOPUS:85054271716

T3 - Proceedings of the 25th European Conference on Information Systems, ECIS 2017

SP - 1011

EP - 1028

BT - Proceedings of the 25th European Conference on Information Systems, ECIS 2017

PB - Association for Information Systems

CY - Atlanta

T2 - 25th European Conference on Information Systems, ECIS 2017

Y2 - 5 June 2017 through 10 June 2017

ER -