Differences by Sex in Support for Nuclear Power

Brody, Charles J.

doi:10.2307/2578866

Cited by 76 publications

(49 citation statements)

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“…Generally, research has shown that women are more likely to hold environmental beliefs than men [22][23][24][25]. One explanation of women's environmental attitudes posits that men have more knowledge of issues related to environmental risks and that, generally, people who have such knowledge are less likely to be concerned about these types of risks [26].…”

Section: Review Of Literaturementioning

confidence: 99%

Effect of Gender on Environmental Awareness of Post-graduate Students

Shivakumara

Mane

Diksha

et al. 2015

BJESBS

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Section: Review Of Literaturementioning

confidence: 99%

Effect of Gender on Environmental Awareness of Post-graduate Students

Shivakumara

Mane

Diksha

et al. 2015

BJESBS

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“…Many researchers in the marketing and consumer behavior fields have extensively investigated gender differences in online purchase decisions (e.g., Berni, 2001;Brody, 1984;Chiger, 2001;Gutteling & Wiegman, 1993;Peter, Olson, & Grunert, 1999). Some earlier studies have focused on differences in perception of risk in performing online shopping, while more recent research has focused on consumer behavior or attitude in terms of information processing in specific situations.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation

Lak¹,

Turetken²

2017

THCI

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Abstract:User-generated online content serves as a source of product-and service-related information that reduces the uncertainty in consumer decision making, yet the abundance of such content makes it prohibitively costly to use all relevant information. Dealing with this (big data) problem requires a consumer to decide what subset of information to focus on. Peer-generated star ratings are excellent tools for one to decide what subset of information to focus on as they indicate a review's "tone". However, star ratings are not available for all user-generated content and not detailed enough in other cases. Sentiment analysis, a text-analytic technique that automatically detects the polarity of text, provides sentiment scores that are comparable to, and potentially more refined than, star ratings. Despite its popularity as an active topic in analytics research, sentiment analysis outcomes have not been evaluated through rigorous user studies. We fill that gap by investigating the impact of sentiment scores on purchase decisions through a controlled experiment using 100 participants. The results suggest that, consistent with the effort-accuracy trade off and effort-minimization concepts, sentiment scores on review documents improve the efficiency (speed) of purchase decisions without significantly affecting decision effectiveness (confidence).

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“…Observed differences between men and women in risk response have frequently been attributed to priorities shaped by traditional gender relations, particularly the predominance of economic concerns among men as opposed to the emphasis on children's safety and health among women (Freudenburg and Davidson 2007;Brody 1984;Stern, Dietz, and Kalof 1993;Roberts 1997;Gutteling and Wiedman 1993).…”

Section: Gender and Riskmentioning

confidence: 99%

“…There has been considerable research on gender differences in perspectives towards risk and risky activities (for example Finucane et al 2000;Brody 1984;Stern, Dietz, and Kalof 1993;Roberts 1997;Gutteling and Wiegman 1993). While these researchers do not generally define their understanding of gender, they seem to employ it as both a biological concept (manifested, for example, by attention to women's roles as reproducers and caregivers) and a sociocultural and spatial concept (based on gendered processes of socialization which, for example, characterize women as emotional and men as stalwart).…”

Section: Introductionmentioning

confidence: 99%