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This dissertation examines the relationship between personality traits, measured via the Five-Factor Personality Model, and technology acceptance of TKMS, assessed through the Technology Acceptance Model (TAM). A survey of IT, KM, academia, and psychology participants measured personality traits and perceived usefulness and ease of use. Results indicate openness predicts greater acceptance, and extraversion predicts acceptance based on ease of use. Organizations are advised to incorporate user personality traits into TKMS research and design.",{"@graph":14,"@context":77},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/a-study-of-the-relationship-between-personality-types-and-the-acceptance-of-technical-knowledge-management-systems-tkms-dissertation/293700/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/a-study-of-the-relationship-between-personality-types-and-the-acceptance-of-technical-knowledge-management-systems-tkms-dissertation/293700.png","ImageObject",300,407,{"name":42,"@type":43},"Quinn","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-27","2026-09-17",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",14,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69,73],{"name":60,"@type":61,"acceptedAnswer":62},"本研究聚焦的关键主题是什么？","Question",{"text":63,"@type":64},"研究关注个人性格特质与技术知识管理系统（TKMS）被接受程度之间的关系，并从预测系统接受与使用的角度解释其影响因素。","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"研究如何衡量“性格”和“技术接受”？",{"text":68,"@type":64},"性格通过五因素人格模型（Five-Factor Personality Model）测量；技术接受通过技术接受模型（Technology Acceptance Model, TAM）评估，重点关注感知有用性与感知易用性。",{"name":70,"@type":61,"acceptedAnswer":71},"研究结果有哪些主要发现？",{"text":72,"@type":64},"结果显示，具有“开放性（openness）”特质的用户更倾向于接受TKMS（基于感知易用性与感知有用性）；具有“外向性（extraversion）”特质的用户更倾向于接受TKMS（基于感知易用性）。",{"name":74,"@type":61,"acceptedAnswer":75},"研究对组织在设计与推广TKMS方面有什么建议？",{"text":76,"@type":64},"建议组织在研发与分发TKMS时，把用户的性格特质纳入研究与设计考量，以提升系统带来的潜在收益与竞争优势。","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},293700,1789667721,{"code":4,"msg":86,"data":87},"success",[88,92,96,100,105,110,115,119,124,127,131],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Exam",70,"exam",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},5,"Comic",60,"comic",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},6,"Technology",50,"technology",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},7,"Healthcare",40,"healthcare",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":117,"slug":118},8,30,"research-report",{"id":120,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":122,"slug":123},9,"Religion & Spirituality",20,"religion-spirituality",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":122,"slug":126},"World Cup","world-cup",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":128,"slug":130},10,"Lifestyle","lifestyle",{"id":132,"doc_module":4,"doc_module_name":25,"category_name":133,"show_sort_weight":101,"slug":134},19,"General","general",{"code":4,"msg":86,"data":136},{"doc_id":83,"user_id":137,"nickname":42,"user_avatar":138,"doc_module":4,"category_id":116,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":139,"file_id":140,"file_url":141,"file_type":142,"file_size":143,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":144,"language":145,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":146,"faqs":147,"seo_title":148,"seo_description":12,"update_tm":84,"read_time":149,"preview_page_count":4},962075114765,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","A STUDY OF THE RELATIONSHIP BETWEEN PERSONALITY TYPES  \nAND THE ACCEPTANCE OF TECHNICAL KNOWLEDGE MANAGEMENT SYSTEMS (TKMS)  \nby  \nMaureen S. Sullivan  \nRONALD BENSON, PhD, Faculty Mentor and Chair JOSE M. NIEVES, PhD, Committee Member DANNY A. HARRIS, PhD, Committee Member  \nWilliam A. Reed, PhD, Dean, School of Business and Technology  \nA Dissertation Presented in Partial Fulfillment Of the Requirements for the Degree Doctor of Philosophy  \nCapella University  \nUMI Number: 3513694  \nAll rights reserved  \nINFORMATION TO ALL USERS  \nThe quality of this reproduction is dependent on the quality of the copy submitted.  \nIn the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed,  \na note will indicate the deletion.  \nUMI 3513694 Copyright 2012 by ProQuest LLC. All rights reserved. This edition of the work is protected against unauthorized copying under Title 17, United States Code.  \nProQuest LLC.  \n789 East Eisenhower Parkway  \nP.O. Box 1346 Ann Arbor, MI 48106-1346  \n© Maureen Sullivan, 2012  \nAbstract  \nTechnical knowledge management systems (TKMSs) are not achieving the usage (acceptance) and the benefits that have been forecasted and are therefore, not enhancing competitive advantage and profits in organizations (Comb, 2004 , Assessing customer relationship management strategies for creating competitive advantage in electronic business) . Therefore, hardware and software must discover ways to ensure that the TKMSs are accepted and used by all customers. This research investigated the relationship of personality (through the Five-Factor Personality Model) to technology acceptance ofTKMS (using the Technology Acceptance Model-TAM) . This study tested the relationship between the major personality types and the intent to accept or fail to accept TKMSs, using an integrative model that combines the TAM (Davis, 1989 , Perceived usefulness, perceived ease of use, and user acceptance of information technology) and the Five-Factor Model (FFM; personality) . Members of IT, KM, Academia and Psychology LinkedIn Groups, the SIKMLeaders Groups and IEEE were administered a survey that measured their personality traits and their perceived usefulness and perceived ease of use for TKMSs. Results of study showed that TKMS users exhibiting the openness personality trait were more accepting ofthe TKMSs (based on perceived ease of use and perceived usefulness) . The results also showed that TKMS users exhibiting the extraversion personality trait were more accepting ofthe TKMSs (based on perceived ease of use) . Consequently, it is recommended that organizations and companies that research and distribute TKMSs consider the personality traits of users when researching and designing these TKMSs. The potential benefits could bolster  \ncompetitive advantage in the information technology arena and forward the study of personality trait relationships in information technology–related fields.  \nDedication  \nI would like to dedicate this dissertation to my late parents. They have instilled in me the drive to persevere, even when times get tough, and to see things through to the finish. Their quest for knowledge inspired me to always seek knowledge, for knowledge is power. I would also like to dedicate this to my daughter, Maya. She has shown me that with hard work, any obstacles can be removed. Lastly, but not least, I‘d like to dedicate this to God, for without Him, none of this would have been possible.  \nAcknowledgments  \nThanks to Dr. Ronald Benson, my mentor, for his tireless efforts to help me get through this dissertation and for his patience during this process. Many thanks also go out to my dissertation committee members: Dr. Danny Harris and Dr. Jose Nieves, without their help and guidance, this would not have been possible. I would also like to acknowledge all of my friends and family that have encouraged me along the way and told me to keep rea","cbCaifQAj7sSNzSj","https://ap.wps.com/l/cbCaifQAj7sSNzSj","pdf",3256813,161,"English","# Acknowledgments\n# Abstract\n# Dedication\n# Table of Contents\n## CHAPTER 1. INTRODUCTION\n## Introduction to the Problem\n## Background of the Study\n## Statement of the Problem\n## Purpose of the Study\n## Rationale\n## Research Questions\n## Significance of the Study\n## Assumptions and Limitations\n## Nature of the Study\n## Organization of the Remainder of the Study\n## CHAPTER 2. LITERATURE REVIEW\n## Conclusion\n## CHAPTER 3. METHODOLOGY\n## Introduction\n## Theoretical Framework\n## Research Questions and Hypotheses\n## Quantitative Research Design\n## Sample\n## Instrumentation/Measures\n## Data Collection\n## Data Analysis\n## Reliability\n## Validity\n## Ethical Considerations\n## Limitations\n## CHAPTER 4. RESULTS\n## Data Collection\n## Data Analysis\n## Hypothesis Testing\n## Conclusion\n## CHAPTER 5. DISCUSSION, IMPLICATIONS AND RECOMMENDATIONS\n## Discussion of Results\n## Implications for Practitioners\n## Implications for Researchers\n## Recommendations for Future Research\n## Conclusion\n# References\n# Appendix A. UTAUT INSTRUMENT\n# Appendix B. IPIP BIG 5 (50-ITEM) INSTRUMENT\n# Appendix C. DEMOGRAPHICS QUESTIONNAIRE\n# Appendix D. DESCRIPTIVE STATISTICS","[{\"question\":\"本研究聚焦的关键主题是什么？\",\"answer\":\"研究关注个人性格特质与技术知识管理系统（TKMS）被接受程度之间的关系，并从预测系统接受与使用的角度解释其影响因素。\"},{\"question\":\"研究如何衡量“性格”和“技术接受”？\",\"answer\":\"性格通过五因素人格模型（Five-Factor Personality Model）测量；技术接受通过技术接受模型（Technology Acceptance Model, TAM）评估，重点关注感知有用性与感知易用性。\"},{\"question\":\"研究结果有哪些主要发现？\",\"answer\":\"结果显示，具有“开放性（openness）”特质的用户更倾向于接受TKMS（基于感知易用性与感知有用性）；具有“外向性（extraversion）”特质的用户更倾向于接受TKMS（基于感知易用性）。\"},{\"question\":\"研究对组织在设计与推广TKMS方面有什么建议？\",\"answer\":\"建议组织在研发与分发TKMS时，把用户的性格特质纳入研究与设计考量，以提升系统带来的潜在收益与竞争优势。\"}]","A Study of the Relationship Between Personality Types and the Acceptance of Technical Knowledge Management Systems (TKMS) - Dissertation | PDF",406]