{"id":{"repo_id":"emich","oai_identifier":"oai:commons.emich.edu:theses-2061"},"canonical_url":"https://search.dev.ndltd.org/etd/emich/oai:commons.emich.edu:theses-2061","repository":{"repo_id":"emich","name":"Eastern Michigan University","base_url":"https://commons.emich.edu/do/oai/"},"display":{"title":"Personal privacy: A study to determine views on privacy as it relates to technology acceptance","abstract":"<p>This descriptive correlation study sought to learn the relationships, if any, between a person’s concern for privacy and their acceptance of technology, in conjunction with the control factors of the Big Five personality factors. The study employed a modified Concern for Information Privacy (CFIP) scale and a modified Technology Acceptance Model (TAM) approach in conjunction with the Big Five personality factors using a 51-question survey.</p> <p>The study surveyed students at Eastern Michigan University in Ypsilanti, Michigan, who were enrolled in the College of Technology. The results indicated that there was a significant positive relationship between the CFIP and the TAM. The research further indicated that certain demographic factors such as gender, undergraduate versus graduate student status, and classification did not have any significant relationship with respect to the CFIP and the TAM. Other demographics, such as age, also failed to demonstrate a strong relationship; however, it did suggest that age was possibly negatively correlated with the CFIP, but the significance was (p = .053) for that negative relationship. Additionally, the Big Five personality factors as control factors only had a limited effect, with openness to experience and extroversion showing some slight positive effect with respect to the CFIP and the TAM relationships.</p> <p>The findings and results of this research allow for a better understanding about who is or is not concerned with personal privacy issues and allows for possible alternate methods of identifying those with the least concern for privacy in terms of their acceptance of technology.</p>","abstract_html":"&lt;p&gt;This descriptive correlation study sought to learn the relationships, if any, between a person’s concern for privacy and their acceptance of technology, in conjunction with the control factors of the Big Five personality factors. The study employed a modified Concern for Information Privacy (CFIP) scale and a modified Technology Acceptance Model (TAM) approach in conjunction with the Big Five personality factors using a 51-question survey.&lt;/p&gt; &lt;p&gt;The study surveyed students at Eastern Michigan University in Ypsilanti, Michigan, who were enrolled in the College of Technology. The results indicated that there was a significant positive relationship between the CFIP and the TAM. The research further indicated that certain demographic factors such as gender, undergraduate versus graduate student status, and classification did not have any significant relationship with respect to the CFIP and the TAM. Other demographics, such as age, also failed to demonstrate a strong relationship; however, it did suggest that age was possibly negatively correlated with the CFIP, but the significance was (p = .053) for that negative relationship. Additionally, the Big Five personality factors as control factors only had a limited effect, with openness to experience and extroversion showing some slight positive effect with respect to the CFIP and the TAM relationships.&lt;/p&gt; &lt;p&gt;The findings and results of this research allow for a better understanding about who is or is not concerned with personal privacy issues and allows for possible alternate methods of identifying those with the least concern for privacy in terms of their acceptance of technology.&lt;/p&gt;","abstract_has_math":false,"creators":["Wuotinen, Keith A."],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Open Access Dissertation","degree_discipline":"College of Technology","degree_department":null,"school":null,"contributors":["Dan Fields, Ph.D. (Chair)","Al Bellamy, Ph.D.","Konnie Kustron, JD."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-11T08:00:00Z","date_published":"2016-11-11T08:00:00Z","updated_at":"2026-07-24T02:17:06Z","subjects":["Concern For Information Privacy","Privacy","Technology Acceptance Model","Information Security","Science and Technology Studies"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.emich.edu/theses/690","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dan Fields, Ph.D. (Chair)","Al Bellamy, Ph.D.","Konnie Kustron, JD."]},{"key":"dc:creator","label":"Author","values":["Wuotinen, Keith A."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-05-30T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["College of Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Concern For Information Privacy","Privacy","Technology Acceptance Model","Information Security","Science and Technology Studies"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.emich.edu/theses/690"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>This descriptive correlation study sought to learn the relationships, if any, between a person’s concern for privacy and their acceptance of technology, in conjunction with the control factors of the Big Five personality factors. The study employed a modified Concern for Information Privacy (CFIP) scale and a modified Technology Acceptance Model (TAM) approach in conjunction with the Big Five personality factors using a 51-question survey.</p> <p>The study surveyed students at Eastern Michigan University in Ypsilanti, Michigan, who were enrolled in the College of Technology. The results indicated that there was a significant positive relationship between the CFIP and the TAM. The research further indicated that certain demographic factors such as gender, undergraduate versus graduate student status, and classification did not have any significant relationship with respect to the CFIP and the TAM. Other demographics, such as age, also failed to demonstrate a strong relationship; however, it did suggest that age was possibly negatively correlated with the CFIP, but the significance was (p = .053) for that negative relationship. Additionally, the Big Five personality factors as control factors only had a limited effect, with openness to experience and extroversion showing some slight positive effect with respect to the CFIP and the TAM relationships.</p> <p>The findings and results of this research allow for a better understanding about who is or is not concerned with personal privacy issues and allows for possible alternate methods of identifying those with the least concern for privacy in terms of their acceptance of technology.</p>"]},{"key":"dc:title","label":"Title","values":["Personal privacy: A study to determine views on privacy as it relates to technology acceptance"]}]}],"canonical_facts":{"dc:contributor":["Dan Fields, Ph.D. (Chair)","Al Bellamy, Ph.D.","Konnie Kustron, JD."],"dc:creator":["Wuotinen, Keith A."],"dc:date.available":["2017-05-30T07:00:00Z"],"dc:description.abstract":["<p>This descriptive correlation study sought to learn the relationships, if any, between a person’s concern for privacy and their acceptance of technology, in conjunction with the control factors of the Big Five personality factors. The study employed a modified Concern for Information Privacy (CFIP) scale and a modified Technology Acceptance Model (TAM) approach in conjunction with the Big Five personality factors using a 51-question survey.</p> <p>The study surveyed students at Eastern Michigan University in Ypsilanti, Michigan, who were enrolled in the College of Technology. The results indicated that there was a significant positive relationship between the CFIP and the TAM. The research further indicated that certain demographic factors such as gender, undergraduate versus graduate student status, and classification did not have any significant relationship with respect to the CFIP and the TAM. Other demographics, such as age, also failed to demonstrate a strong relationship; however, it did suggest that age was possibly negatively correlated with the CFIP, but the significance was (p = .053) for that negative relationship. Additionally, the Big Five personality factors as control factors only had a limited effect, with openness to experience and extroversion showing some slight positive effect with respect to the CFIP and the TAM relationships.</p> <p>The findings and results of this research allow for a better understanding about who is or is not concerned with personal privacy issues and allows for possible alternate methods of identifying those with the least concern for privacy in terms of their acceptance of technology.</p>"],"dc:identifier":["https://commons.emich.edu/theses/690"],"dc:subject":["Concern For Information Privacy","Privacy","Technology Acceptance Model","Information Security","Science and Technology Studies"],"dc:title":["Personal privacy: A study to determine views on privacy as it relates to technology acceptance"],"thesis:degree_discipline":["College of Technology"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T02:17:06Z"}