scholarly journals Investment Competence and Advice Seeking

2014 ◽  
Author(s):  
Kremena Bachmann ◽  
Thorsten Hens
Keyword(s):  
Advice Seeking

Confidence, advice seeking and changes of mind in decision making

Cognition ◽  
2021 ◽  
Vol 215 ◽  
pp. 104810
Author(s):  
Niccolò Pescetelli ◽  
Anna-Katharina Hauperich ◽  
Nick Yeung
Keyword(s):  
Decision Making ◽  
Advice Seeking

Multiplex Conflict: Examining the Effects of Overlapping Task and Relationship Conflict on Advice Seeking in Organizations

2017 ◽  
Vol 33 (5) ◽  
pp. 595-610 ◽  
Author(s):  
Joshua E. Marineau ◽  
Anthony C. Hood ◽  
Giuseppe “Joe” Labianca
Keyword(s):  
Relationship Conflict ◽  
Advice Seeking

Learning Through Advice-Seeking via Transfer

2017 ◽  
pp. 40-51
Author(s):  
Phillip Odom ◽  
Raksha Kumaraswamy ◽  
Kristian Kersting ◽  
Sriraam Natarajan
Keyword(s):  
Advice Seeking

scholarly journals Good Advice is Beyond All Price, but What if it Comes from a Machine?

2018 ◽  
Author(s):  
Nicholas Hertz ◽  
Eva Wiese
Keyword(s):  
Advice Seeking ◽  
Human Partner ◽  
The Social ◽  
Good Advice ◽  
Analytical Task ◽  
Computer Agents

As nonhuman agents become integrated into the workforce, the question becomes whether humans are willing to consider their advice, and to what extent advice-seeking depends on the perceived agent-task fit. To examine this, participants performed social and analytical tasks and received advice from human, robot, and computer agents in two conditions: in the Agent First condition, participants were first asked to choose advisors and were then informed which task to perform; in the Task First condition, they were first informed about the task and then asked to choose advisors. In the Agent First condition, we expected participants to prefer human to non-human advisors, and to subsequently trust their advice more if they were assigned the social as opposed to the analytical task. In the Task First condition, we expected advisor choices to be guided by stereotypical assumptions regarding the agents’ expertise for the tasks, accompanied by higher trust in their suggestions. The findings indicate that in the Agent First condition, the human was chosen significantly more often than the machines, while in the Task First condition advisor choices were calibrated based on perceived agent-task fit. Trust was higher in the social task, but only showed variations with the human partner.

Internal Advice Seeking Measure

2016 ◽  
Author(s):  
Philip Meissner ◽  
Torsten Wulf
Keyword(s):  
Advice Seeking

Characteristics of ETF Owners: Exploring the Role of Investor Knowledge, Fee Aversion, and Financial Advice Seeking

2018 ◽  
Author(s):  
Shane Enete ◽  
Miranda Reiter ◽  
Wendy Usrey ◽  
Andrew Scott ◽  
Martin Seay
Keyword(s):  
Financial Advice ◽  
Advice Seeking
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