The purpose of this research was to study Generation X consulting engineers (those born between the years 1964 and 1980) in Lynchburg, Virginia, to determine the major factors that influence their employment decisions. Engineering consulting firms throughout the United States, particularly those in Lynchburg, have struggled to recruit young engineers in recent years. The recruiting of young engineers has been regarded by managers and executives as the single greatest challenge to the consulting profession. Despite the consensus within the profession that the problem existed, recommended solutions have been mostly speculative in nature and unsubstantiated by supportive data. This study focused on the perspective from Generation X engineers on recruiting and employment, and examined the key factors that led them to become consulting engineers in Lynchburg.
This study's contributions include development of a specific mixed method research approach to study recruiting of Generation X engineers, creation of knowledge that can be used as a foundation for future research, and the identification of factors that influence employment decisions of Generation X engineers that has practical use for improving recruiting techniques used by the consulting engineering profession.
","abstract_html":"<p>The purpose of this research was to study Generation X consulting engineers (those born between the years 1964 and 1980) in Lynchburg, Virginia, to determine the major factors that influence their employment decisions. Engineering consulting firms throughout the United States, particularly those in Lynchburg, have struggled to recruit young engineers in recent years. The recruiting of young engineers has been regarded by managers and executives as the single greatest challenge to the consulting profession. Despite the consensus within the profession that the problem existed, recommended solutions have been mostly speculative in nature and unsubstantiated by supportive data. This study focused on the perspective from Generation X engineers on recruiting and employment, and examined the key factors that led them to become consulting engineers in Lynchburg.</p> <p>This study's contributions include development of a specific mixed method research approach to study recruiting of Generation X engineers, creation of knowledge that can be used as a foundation for future research, and the identification of factors that influence employment decisions of Generation X engineers that has practical use for improving recruiting techniques used by the consulting engineering profession.</p>","abstract_has_math":false,"creators":["Mayfield, Robert William"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Engineering Management & Systems Engineering","degree_department":null,"school":null,"contributors":["Charles Keating","Paul Kauffmann","Andres Sousa-Poza"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002-04-01T08:00:00Z","date_published":"2002-04-01T08:00:00Z","updated_at":"2026-07-24T03:34:25Z","subjects":["Generation X","Engineers","Engineering management","Employment","Engineering","Organizational Behavior and Theory","Work, Economy and Organizations"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9780493890173"],"render_values":[{"text":"9780493890173","href":null,"code":true}]}]},"links":{"outbound_url":"https://digitalcommons.odu.edu/emse_etds/102","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Charles Keating","Paul Kauffmann","Andres Sousa-Poza"]},{"key":"dc:creator","label":"Author","values":["Mayfield, Robert William"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-03-18T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering Management & Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Generation X","Engineers","Engineering management","Employment","Engineering","Organizational Behavior and Theory","Work, Economy and Organizations"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9780493890173","https://digitalcommons.odu.edu/emse_etds/102"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of this research was to study Generation X consulting engineers (those born between the years 1964 and 1980) in Lynchburg, Virginia, to determine the major factors that influence their employment decisions. Engineering consulting firms throughout the United States, particularly those in Lynchburg, have struggled to recruit young engineers in recent years. The recruiting of young engineers has been regarded by managers and executives as the single greatest challenge to the consulting profession. Despite the consensus within the profession that the problem existed, recommended solutions have been mostly speculative in nature and unsubstantiated by supportive data. This study focused on the perspective from Generation X engineers on recruiting and employment, and examined the key factors that led them to become consulting engineers in Lynchburg.
This study's contributions include development of a specific mixed method research approach to study recruiting of Generation X engineers, creation of knowledge that can be used as a foundation for future research, and the identification of factors that influence employment decisions of Generation X engineers that has practical use for improving recruiting techniques used by the consulting engineering profession.
"]},{"key":"dc:title","label":"Title","values":["Major Factors That Influence the Employment Decisions of Generation X Consulting Engineers"]}]}],"canonical_facts":{"dc:contributor":["Charles Keating","Paul Kauffmann","Andres Sousa-Poza"],"dc:creator":["Mayfield, Robert William"],"dc:date.available":["2019-03-18T07:00:00Z"],"dc:description.abstract":["The purpose of this research was to study Generation X consulting engineers (those born between the years 1964 and 1980) in Lynchburg, Virginia, to determine the major factors that influence their employment decisions. Engineering consulting firms throughout the United States, particularly those in Lynchburg, have struggled to recruit young engineers in recent years. The recruiting of young engineers has been regarded by managers and executives as the single greatest challenge to the consulting profession. Despite the consensus within the profession that the problem existed, recommended solutions have been mostly speculative in nature and unsubstantiated by supportive data. This study focused on the perspective from Generation X engineers on recruiting and employment, and examined the key factors that led them to become consulting engineers in Lynchburg.
This study's contributions include development of a specific mixed method research approach to study recruiting of Generation X engineers, creation of knowledge that can be used as a foundation for future research, and the identification of factors that influence employment decisions of Generation X engineers that has practical use for improving recruiting techniques used by the consulting engineering profession.
"],"dc:identifier":["9780493890173","https://digitalcommons.odu.edu/emse_etds/102"],"dc:subject":["Generation X","Engineers","Engineering management","Employment","Engineering","Organizational Behavior and Theory","Work, Economy and Organizations"],"dc:title":["Major Factors That Influence the Employment Decisions of Generation X Consulting Engineers"],"thesis:degree_discipline":["Engineering Management & Systems Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T03:34:25Z"}