The Effect of Negativity Bias on Trust in the Adoption of Innovations: A Longitudinal Study

Darius-Aurel Frank; Polymeros Chrysochou; Panagiotis Mitkidis

The Effect of Negativity Bias on Trust in the Adoption of Innovations: A Longitudinal Study

Darius-Aurel Frank, Polymeros Chrysochou, Panagiotis Mitkidis

Department of Management

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Abstract

Building trust prior to release of an innovation is a challenge for companies, because of external influences on trust that may not be fully controlled. In an experimental, longitudinal study, this research aims to quantify the effect of negatively (vs. positively) skewed pre-release information on individual’s trust and subsequent adoption of the innovation. It further seeks to determine how this effect changes both over time, and from before to after the innovation adoption. Results show that individuals consistently exhibit lower scores in trust in the technology after being exposed to the negatively (relative to positively) skewed information. In turn, positively skewed information does not appear statistically different form the control condition, in which no additional information was shown. We explain this effect with negativity bias. Implications and ways for companies to address the challenge of negative pre-release information are discussed.

Original language	English
Publication date	2019
Publication status	Published - 2019
Event	EMAC 2019 - Hamburg, Germany Duration: 28 May 2019 → 31 May 2019 Conference number: 48

Conference

Conference	EMAC 2019
Number	48
Country/Territory	Germany
City	Hamburg
Period	28/05/2019 → 31/05/2019

Keywords

Negativity bias
Longitudinal analysis
innovation
trust

Consumer Adoption of Artificial Intelligence
Frank, D. (PI)
01/02/2017 → 31/01/2020
Project: Research

Cite this

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title = "The Effect of Negativity Bias on Trust in the Adoption of Innovations: A Longitudinal Study",

abstract = "Building trust prior to release of an innovation is a challenge for companies, because of external influences on trust that may not be fully controlled. In an experimental, longitudinal study, this research aims to quantify the effect of negatively (vs. positively) skewed pre-release information on individual{\textquoteright}s trust and subsequent adoption of the innovation. It further seeks to determine how this effect changes both over time, and from before to after the innovation adoption. Results show that individuals consistently exhibit lower scores in trust in the technology after being exposed to the negatively (relative to positively) skewed information. In turn, positively skewed information does not appear statistically different form the control condition, in which no additional information was shown. We explain this effect with negativity bias. Implications and ways for companies to address the challenge of negative pre-release information are discussed.",

keywords = "Negativity bias, Longitudinal analysis, innovation, trust",

author = "Darius-Aurel Frank and Polymeros Chrysochou and Panagiotis Mitkidis",

year = "2019",

language = "English",

note = "EMAC 2019 ; Conference date: 28-05-2019 Through 31-05-2019",

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TY - ABST

T1 - The Effect of Negativity Bias on Trust in the Adoption of Innovations: A Longitudinal Study

AU - Frank, Darius-Aurel

AU - Chrysochou, Polymeros

AU - Mitkidis, Panagiotis

N1 - Conference code: 48

PY - 2019

Y1 - 2019

N2 - Building trust prior to release of an innovation is a challenge for companies, because of external influences on trust that may not be fully controlled. In an experimental, longitudinal study, this research aims to quantify the effect of negatively (vs. positively) skewed pre-release information on individual’s trust and subsequent adoption of the innovation. It further seeks to determine how this effect changes both over time, and from before to after the innovation adoption. Results show that individuals consistently exhibit lower scores in trust in the technology after being exposed to the negatively (relative to positively) skewed information. In turn, positively skewed information does not appear statistically different form the control condition, in which no additional information was shown. We explain this effect with negativity bias. Implications and ways for companies to address the challenge of negative pre-release information are discussed.

AB - Building trust prior to release of an innovation is a challenge for companies, because of external influences on trust that may not be fully controlled. In an experimental, longitudinal study, this research aims to quantify the effect of negatively (vs. positively) skewed pre-release information on individual’s trust and subsequent adoption of the innovation. It further seeks to determine how this effect changes both over time, and from before to after the innovation adoption. Results show that individuals consistently exhibit lower scores in trust in the technology after being exposed to the negatively (relative to positively) skewed information. In turn, positively skewed information does not appear statistically different form the control condition, in which no additional information was shown. We explain this effect with negativity bias. Implications and ways for companies to address the challenge of negative pre-release information are discussed.

KW - Negativity bias

KW - Longitudinal analysis

KW - innovation

KW - trust

M3 - Conference abstract for conference

T2 - EMAC 2019

Y2 - 28 May 2019 through 31 May 2019

ER -

The Effect of Negativity Bias on Trust in the Adoption of Innovations: A Longitudinal Study

Abstract

Conference

Keywords

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Projects

Consumer Adoption of Artificial Intelligence

Cite this