scholarly journals Mobile Messaging for Offline Group Formation in Prosocial Activities: A Large Field Experiment

2015 ◽  
Author(s):  
Tianshu Sun ◽  
Guodong (Gordon) Gao ◽  
Ginger Zhe Jin
Keyword(s):  
Field Experiment ◽  
Group Formation ◽  
Large Field

Mobile Messaging for Offline Group Formation in Prosocial Activities: A Large Field Experiment

2019 ◽  
Vol 65 (6) ◽  
pp. 2717-2736 ◽  
Author(s):  
Tianshu Sun ◽  
Guodong (Gordon) Gao ◽  
Ginger Zhe Jin
Keyword(s):  
Field Experiment ◽  
Group Formation ◽  
Large Field

WHAT DO WE HAVE IN-COMMON? OVERCOMING THE NOT-INVENTED-HERE SYNDROME THROUGH RECATEGORISATION

2021 ◽  
pp. 2150070
Author(s):  
MARION A. WEISSENBERGER-EIBL ◽  
TIM HAMPEL
Keyword(s):  
Field Experiment ◽  
Empirical Evidence ◽  
Group Identity ◽  
Large Field ◽  
External Knowledge ◽  
Identity Model ◽  
Research Gap ◽  
The Common ◽  
Dual Identities

The not-invented-here (NIH) syndrome describes a negatively-shaped attitude of employees towards externally generated knowledge. Despite being cited as one of the largest barriers in the transfer of external knowledge, empirical evidence on interventions to overcome NIH remains scarce. To address this research gap, we design a brief and specificrecategorisational-intervention on basis of the common in-group identity model in order to change employees’ attitudes towards external knowledge directly. Additionally, we take into account the effects of affirmations as a frequently mentioned countermeasure to NIH and also investigate the role of dual identities in recategorisation. To test our hypothesis, we conducted a large field experiment with a total of 1,097 employees within a multinational organisation. Results revealed that (I) organisational identification and status are positively related to higher levels of NIH, (II) a recategorisational-intervention completely removes the NIH bias and leads to a significant increase in the evaluation of external knowledge.

Getting the Rich and Powerful to Give

2019 ◽  
Vol 65 (9) ◽  
pp. 4049-4062 ◽  
Author(s):  
Judd B. Kessler ◽  
Katherine L. Milkman ◽  
C. Yiwei Zhang
Keyword(s):  
Behavioral Economics ◽  
Field Experiment ◽  
Sense Of Agency ◽  
Large Field ◽  
Psychology Research ◽  
Intensive Margin ◽  
Ivy League ◽  
Tailored Interventions ◽  
The Rich

What motivates the rich and powerful to exhibit generosity? We explore this important question in a large field experiment. We solicit donations from 32,174 alumni of an Ivy League university, including thousands of rich and powerful alumni. Consistent with past psychology research, we find that the rich and powerful respond dramatically, and differently than others, to being given a sense of agency over the use of donated funds. Gifts from rich and powerful alumni increase by 100%–350% when they are given a sense of agency. This response arises primarily on the intensive margin with no effect on the likelihood of donating. Results suggest that motivating the rich and powerful to act may require tailored interventions. This paper was accepted by Uri Gneezy, behavioral economics.

scholarly journals Cyber-Shilling in Automobile Auctions: Evidence from a Field Experiment

2015 ◽  
Vol 7 (3) ◽  
pp. 85-103 ◽  
Author(s):  
David Grether ◽  
David Porter ◽  
Matthew Shum
Keyword(s):  
New York ◽  
Field Experiment ◽  
Large Field ◽  
Ascending Auctions ◽  
Seller Behavior

We run a large field experiment with an online company specializing in selling used automobiles via ascending auctions. We manipulate experimentally the “price grid,” or the possible amounts that bidders can bid above the current standing price. Using two diverse auction sites, one in New York and one in Texas, we find that buyer and seller behavior differs strikingly across the two sites. Specifically, in Texas we find peculiar patterns of bidding among a small but prominent group of buyers suggesting that they are “cyber-shills” working on behalf of sellers. These patterns do not appear in the New York auctions. (JEL C93, D12, D44, L62, L81)

Temporal Stability of Soil Moisture in a Large-Field Experiment in Spain

2003 ◽  
Vol 67 (6) ◽  
pp. 1647-1656 ◽  
Author(s):  
José Martínez-Fernández ◽  
Antonio Ceballos
Keyword(s):  
Soil Moisture ◽  
Field Experiment ◽  
Temporal Stability ◽  
Large Field

scholarly journals Follow the crowd: Social information and crowdfunding donations in a large field experiment

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Claire Van Teunenbroek ◽  
René Bekkers
Keyword(s):  
Field Experiment ◽  
Social Information ◽  
Participation Rate ◽  
Decision Makers ◽  
Large Field ◽  
Natural Field Experiment ◽  
Human Decision ◽  
Online Donation ◽  
Donation Behavior ◽  
The Individual

Purposely guiding human decision making with a discrete suggestion, ‘nudging’, is increasingly popular. One particularly promising nudge is to provide decision makers with information about the decisions of others, also referred to as social information. Social information is often applied in fundraising campaigns to increase individual donations. A discrete suggestion such as the donation amount of others can result in donors donating similar amounts. We examined effects of social information in a relatively new context, namely crowdfunding. Crowdfunding is a new online fundraising tool. Our study, based on a large natural field experiment (n = 24,070), tests to what extent social information affects online donation behavior and how its effects vary throughout the duration of a campaign. We show that social information increases the individual donation amount by 17%, which is close to the average of 14% found in previous studies. However, social information did not attract more donors: the participation rate was not affected. Our study is the first to pinpoint the stage of the funding campaign at which the effect of social information is most pronounced. We found that social information is most effective in increasing donations at the beginning of crowdfunding campaigns. All materials for this article are available at https://osf.io/epuj6/.

Incentivizing Commuters to Carpool: A Large Field Experiment with Waze

2019 ◽  
Author(s):  
Maxime Cohen ◽  
Michael-David Fiszer ◽  
Avia Ratzon ◽  
Roy Sasson
Keyword(s):  
Field Experiment ◽  
Large Field
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