Home > Research > Publications & Outputs > Information signals and bias in investment deci...

Links

Text available via DOI:

View graph of relations

Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures. / Vazirani, Ashish; Sarkar, Subhro; Bhattacharjee, Titas et al.
In: Journal of Business Research, Vol. 155, No. B, 113424, 31.01.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Vazirani A, Sarkar S, Bhattacharjee T, Dwivedi YK, Jack S. Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures. Journal of Business Research. 2023 Jan 31;155(B):113424. Epub 2022 Nov 10. doi: 10.1016/j.jbusres.2022.113424

Author

Vazirani, Ashish ; Sarkar, Subhro ; Bhattacharjee, Titas et al. / Information signals and bias in investment decisions : A meta-analytic comparison of prediction and actual performance of new ventures. In: Journal of Business Research. 2023 ; Vol. 155, No. B.

Bibtex

@article{d8898100bc0c4974b13b282a1f1857a8,
title = "Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures",
abstract = "This study investigates the presence, direction, and scale of bias in investors{\textquoteright} consideration of qualitative information signals while appraising new venture proposals through a meta-analysis of 75 empirical studies published between 2000 and 2020. Our results suggest that investors evaluate different information signals differently owing to their varying abilities and motivations. High levels of ability and motivation stimulate elaboration, resulting in positive bias, whereas low levels of both ability and motivation reduce the likelihood of elaboration, resulting in negative bias. However, for lower levels of either ability or motivation, we found a mix of both positive and negative biases determined by the dominance of information cues. While considering the prospects of investment decisions, our results show that signals suggesting growth potential are preferred over those suggesting financial risk coverage. This study has substantial implications for investors to optimize their decision-making processes and enable entrepreneurs to understand investors{\textquoteright} appraisal processes.",
keywords = "Decision bias, ELM, Meta-analysis, New-venture financing, New-venture performance",
author = "Ashish Vazirani and Subhro Sarkar and Titas Bhattacharjee and Dwivedi, {Yogesh K.} and Sarah Jack",
year = "2023",
month = jan,
day = "31",
doi = "10.1016/j.jbusres.2022.113424",
language = "English",
volume = "155",
journal = "Journal of Business Research",
issn = "0148-2963",
publisher = "Elsevier Inc.",
number = "B",

}

RIS

TY - JOUR

T1 - Information signals and bias in investment decisions

T2 - A meta-analytic comparison of prediction and actual performance of new ventures

AU - Vazirani, Ashish

AU - Sarkar, Subhro

AU - Bhattacharjee, Titas

AU - Dwivedi, Yogesh K.

AU - Jack, Sarah

PY - 2023/1/31

Y1 - 2023/1/31

N2 - This study investigates the presence, direction, and scale of bias in investors’ consideration of qualitative information signals while appraising new venture proposals through a meta-analysis of 75 empirical studies published between 2000 and 2020. Our results suggest that investors evaluate different information signals differently owing to their varying abilities and motivations. High levels of ability and motivation stimulate elaboration, resulting in positive bias, whereas low levels of both ability and motivation reduce the likelihood of elaboration, resulting in negative bias. However, for lower levels of either ability or motivation, we found a mix of both positive and negative biases determined by the dominance of information cues. While considering the prospects of investment decisions, our results show that signals suggesting growth potential are preferred over those suggesting financial risk coverage. This study has substantial implications for investors to optimize their decision-making processes and enable entrepreneurs to understand investors’ appraisal processes.

AB - This study investigates the presence, direction, and scale of bias in investors’ consideration of qualitative information signals while appraising new venture proposals through a meta-analysis of 75 empirical studies published between 2000 and 2020. Our results suggest that investors evaluate different information signals differently owing to their varying abilities and motivations. High levels of ability and motivation stimulate elaboration, resulting in positive bias, whereas low levels of both ability and motivation reduce the likelihood of elaboration, resulting in negative bias. However, for lower levels of either ability or motivation, we found a mix of both positive and negative biases determined by the dominance of information cues. While considering the prospects of investment decisions, our results show that signals suggesting growth potential are preferred over those suggesting financial risk coverage. This study has substantial implications for investors to optimize their decision-making processes and enable entrepreneurs to understand investors’ appraisal processes.

KW - Decision bias

KW - ELM

KW - Meta-analysis

KW - New-venture financing

KW - New-venture performance

U2 - 10.1016/j.jbusres.2022.113424

DO - 10.1016/j.jbusres.2022.113424

M3 - Journal article

AN - SCOPUS:85141473359

VL - 155

JO - Journal of Business Research

JF - Journal of Business Research

SN - 0148-2963

IS - B

M1 - 113424

ER -