Gossip and Pro Social Behavior

Eyal Eckhaus; Batia Ben-Hador

doi:https://doi.org/10.1007/978-3-030-20154-8_8

Gossip and Pro Social Behavior

Eyal Eckhaus, Batia Ben-Hador

Department of Economics and Business Administration

Ariel University

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

Abstract

Volunteerism is pro-social behavior that positively affects both society and the volunteers themselves. Gossip is also a pro-social behavior, but usually perceived as negative. This research focuses on the effect of pro-social attitudes, age, and gossip on pro-social behavior, and specifically on the intention to volunteer. A mixed method design was employed, combining manual and automated classification methods. Predicated on data elicited from 598 respondents, Exploratory Factor Analysis (EFA), followed by Confirmatory Factor Analysis (CFA) for convergent and discriminant validity were conducted. Path Analysis was used for goodness-of-fit analysis. The findings confirmed the hypotheses, suggesting that age, anti-gossip, and pro-social attitudes precede the intention to volunteer. Gossip was found to be perceived as negative despite its positive characteristics. This study represents an important attempt at determining the antecedents of the intention to volunteer as well as adding to our knowledge of gossip and refuting ageist stereotypes.

Original language	English
Title of host publication	Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership
Editors	Jussi Ilari Kantola, Salman Nazir
Pages	83-94
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-030-20154-8_8
State	Published - 2020
Event	AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019 - Washington D.C., United States Duration: 24 Jul 2019 → 28 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	961

Conference

Conference	AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019
Country/Territory	United States
City	Washington D.C.
Period	24/07/19 → 28/07/19

Keywords

Age
Gossip
Mix-method
Pro-social
Volunteer

All Science Journal Classification (ASJC) codes

General Computer Science
Control and Systems Engineering

Access to Document

https://doi.org/10.1007/978-3-030-20154-8_8

Cite this

Eckhaus, E., & Ben-Hador, B. (2020). Gossip and Pro Social Behavior. In J. I. Kantola, & S. Nazir (Eds.), Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership (pp. 83-94). (Advances in Intelligent Systems and Computing; Vol. 961). https://doi.org/10.1007/978-3-030-20154-8_8

Eckhaus, Eyal ; Ben-Hador, Batia. / Gossip and Pro Social Behavior. Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership. editor / Jussi Ilari Kantola ; Salman Nazir. 2020. pp. 83-94 (Advances in Intelligent Systems and Computing).

@inproceedings{736cd55b53ad44dc92a18211dd41aa9f,

title = "Gossip and Pro Social Behavior",

abstract = "Volunteerism is pro-social behavior that positively affects both society and the volunteers themselves. Gossip is also a pro-social behavior, but usually perceived as negative. This research focuses on the effect of pro-social attitudes, age, and gossip on pro-social behavior, and specifically on the intention to volunteer. A mixed method design was employed, combining manual and automated classification methods. Predicated on data elicited from 598 respondents, Exploratory Factor Analysis (EFA), followed by Confirmatory Factor Analysis (CFA) for convergent and discriminant validity were conducted. Path Analysis was used for goodness-of-fit analysis. The findings confirmed the hypotheses, suggesting that age, anti-gossip, and pro-social attitudes precede the intention to volunteer. Gossip was found to be perceived as negative despite its positive characteristics. This study represents an important attempt at determining the antecedents of the intention to volunteer as well as adding to our knowledge of gossip and refuting ageist stereotypes.",

keywords = "Age, Gossip, Mix-method, Pro-social, Volunteer",

author = "Eyal Eckhaus and Batia Ben-Hador",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019 ; Conference date: 24-07-2019 Through 28-07-2019",

year = "2020",

doi = "https://doi.org/10.1007/978-3-030-20154-8_8",

language = "الإنجليزيّة",

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series = "Advances in Intelligent Systems and Computing",

pages = "83--94",

editor = "Kantola, {Jussi Ilari} and Salman Nazir",

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Eckhaus, E & Ben-Hador, B 2020, Gossip and Pro Social Behavior. in JI Kantola & S Nazir (eds), Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership. Advances in Intelligent Systems and Computing, vol. 961, pp. 83-94, AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019, Washington D.C., United States, 24/07/19. https://doi.org/10.1007/978-3-030-20154-8_8

Gossip and Pro Social Behavior. / Eckhaus, Eyal; Ben-Hador, Batia.
Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership. ed. / Jussi Ilari Kantola; Salman Nazir. 2020. p. 83-94 (Advances in Intelligent Systems and Computing; Vol. 961).

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

TY - GEN

T1 - Gossip and Pro Social Behavior

AU - Eckhaus, Eyal

AU - Ben-Hador, Batia

PY - 2020

Y1 - 2020

N2 - Volunteerism is pro-social behavior that positively affects both society and the volunteers themselves. Gossip is also a pro-social behavior, but usually perceived as negative. This research focuses on the effect of pro-social attitudes, age, and gossip on pro-social behavior, and specifically on the intention to volunteer. A mixed method design was employed, combining manual and automated classification methods. Predicated on data elicited from 598 respondents, Exploratory Factor Analysis (EFA), followed by Confirmatory Factor Analysis (CFA) for convergent and discriminant validity were conducted. Path Analysis was used for goodness-of-fit analysis. The findings confirmed the hypotheses, suggesting that age, anti-gossip, and pro-social attitudes precede the intention to volunteer. Gossip was found to be perceived as negative despite its positive characteristics. This study represents an important attempt at determining the antecedents of the intention to volunteer as well as adding to our knowledge of gossip and refuting ageist stereotypes.

AB - Volunteerism is pro-social behavior that positively affects both society and the volunteers themselves. Gossip is also a pro-social behavior, but usually perceived as negative. This research focuses on the effect of pro-social attitudes, age, and gossip on pro-social behavior, and specifically on the intention to volunteer. A mixed method design was employed, combining manual and automated classification methods. Predicated on data elicited from 598 respondents, Exploratory Factor Analysis (EFA), followed by Confirmatory Factor Analysis (CFA) for convergent and discriminant validity were conducted. Path Analysis was used for goodness-of-fit analysis. The findings confirmed the hypotheses, suggesting that age, anti-gossip, and pro-social attitudes precede the intention to volunteer. Gossip was found to be perceived as negative despite its positive characteristics. This study represents an important attempt at determining the antecedents of the intention to volunteer as well as adding to our knowledge of gossip and refuting ageist stereotypes.

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KW - Gossip

KW - Mix-method

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DO - https://doi.org/10.1007/978-3-030-20154-8_8

M3 - منشور من مؤتمر

SN - 9783030201531

T3 - Advances in Intelligent Systems and Computing

SP - 83

EP - 94

BT - Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership

A2 - Kantola, Jussi Ilari

A2 - Nazir, Salman

T2 - AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019

Y2 - 24 July 2019 through 28 July 2019

ER -

Eckhaus E, Ben-Hador B. Gossip and Pro Social Behavior. In Kantola JI, Nazir S, editors, Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership. 2020. p. 83-94. (Advances in Intelligent Systems and Computing). doi: https://doi.org/10.1007/978-3-030-20154-8_8

Gossip and Pro Social Behavior

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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