{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/86772"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/86772","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Investigating Network Structure, Social Capital, and Sustainability in Operations and Supply Chain Management","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Tacheva, Zhasmina; 0000-0003-3859-5823"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Simpson, Natalie","Operations Management and Strategy"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-02-21T21:44:56Z","date_published":"2025-02-21T21:44:56Z","updated_at":"2026-07-27T19:05:37Z","subjects":["management","operations research","information science"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/86772","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Simpson, Natalie","Operations Management and Strategy"]},{"key":"dc:creator","label":"Author","values":["Tacheva, Zhasmina; 0000-0003-3859-5823"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-02-21T21:44:56Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["management","operations research","information science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/86772"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Over the past two decades, the topic of sustainability has received increased attention from both academia and business. Defined by the World Commission on Environment and Development as “development that meets the needs of the present without compromising the ability of future generations to meet their own needs,” sustainability is most often examined in the context of three categories: environmental, social, and economic. Despite Operations and Supply Chain Management’s (OSCM) early engagement with questions of sustainability, such as reverse logistics, closed-loop supply chains and product stewardship, this research area is still commonly viewed as an emerging domain, arguably too new to be considered mainstream. Following a similar trajectory of increasing interest, network science has also experienced a remarkable growth as a theoretical and methodological lens in OSCM. Like sustainability, network science is also still thought of as too nascent to be deemed conventional. The shared novelty of these two domains and their distinctly interdisciplinary nature (Linton, Klassen, and Jayaraman 2007), suggest that blending them into a common research agenda could yield exciting new insights of import to OSCM theory and practice alike. To this end, this dissertation provides a comprehensive framework for the meaningful integration of sustainability research and network science in OSCM by leveraging network analysis, machine learning, and econometrics. The proposed framework contributes to three distinct yet related sub-streams of the OSCM literature on sustainability in each dissertation chapter.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Investigating Network Structure, Social Capital, and Sustainability in Operations and Supply Chain Management"]}]}],"canonical_facts":{"dc:contributor":["Simpson, Natalie","Operations Management and Strategy"],"dc:creator":["Tacheva, Zhasmina; 0000-0003-3859-5823"],"dc:date":["2025-02-21T21:44:56Z","2020"],"dc:description":["Ph.D.","Over the past two decades, the topic of sustainability has received increased attention from both academia and business. Defined by the World Commission on Environment and Development as “development that meets the needs of the present without compromising the ability of future generations to meet their own needs,” sustainability is most often examined in the context of three categories: environmental, social, and economic. Despite Operations and Supply Chain Management’s (OSCM) early engagement with questions of sustainability, such as reverse logistics, closed-loop supply chains and product stewardship, this research area is still commonly viewed as an emerging domain, arguably too new to be considered mainstream. Following a similar trajectory of increasing interest, network science has also experienced a remarkable growth as a theoretical and methodological lens in OSCM. Like sustainability, network science is also still thought of as too nascent to be deemed conventional. The shared novelty of these two domains and their distinctly interdisciplinary nature (Linton, Klassen, and Jayaraman 2007), suggest that blending them into a common research agenda could yield exciting new insights of import to OSCM theory and practice alike. To this end, this dissertation provides a comprehensive framework for the meaningful integration of sustainability research and network science in OSCM by leveraging network analysis, machine learning, and econometrics. The proposed framework contributes to three distinct yet related sub-streams of the OSCM literature on sustainability in each dissertation chapter.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/86772"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["management","operations research","information science"],"dc:title":["Investigating Network Structure, Social Capital, and Sustainability in Operations and Supply Chain Management"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:37Z"}