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Who Is To Blame? Attribution Theory In The Automotive Industry
| Content Provider | Semantic Scholar |
|---|---|
| Author | Edwards, Jonathan |
| Copyright Year | 2016 |
| Abstract | Bibliography Using Qualtrics software, we designed an experiment that would randomly assign the participant to one of four distinct vignettes. One for each of the possible combinations between negligence, ignorance, manufacturer parts, and third party supplied parts. We incorporated an attributional manipulation check to test significant differences between the groups regarding blame. Respondents were asked, “In your opinion, who or what is to blame for the faulty sensors.? Assign blame among the following (up to 100% for one if you believe that party is fully responsible).” Possible response options were 1.) Omega Motors, 2.) Outside Supplier, 3.) Bad Luck, or 4.) Large product line (increasing the chance of product defects). The final attribution is representative of a Task Difficulty attribution found in classical attribution theory. We then assessed reputational and purchase intention changes. Participants were then given the following instructions, “Now imagine that the injured owners and families of the deceased owners are pursuing a class action civil lawsuit against Omega Motors, and you have been selected to serve as a juror evaluating the case.” After reading the statement, respondents were asked to reflect of Omega’s legal liability, recommend damages, and managerial remedies. The negative reputational effects of a recall will be greater when the recall is attributed to negligence, rather than ignorance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://trace.tennessee.edu/cgi/viewcontent.cgi?article=1093&context=utk_eureca&httpsredir=1&referer= |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
