Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain

Elena Kasparis, Yufei Huang, Bill Lin, Christos Vasilakis

Research output: Contribution to conferenceAbstract

Abstract

Public-private partnerships (PPPs) contribute billions of donated medicines to Mass Drug Administrations (MDAs) in support of the World Health Organization’s “Roadmap to Implementation,” which outlines targets to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medications is challenging due to the many stakeholders and partnerships involved, and more complicated by delivery to remote destinations in developing countries. In September 2016, an online supply chain performance measurement system (SCPMS), “NTDeliver,” was launched to aggregate and share data to enhance information sharing and transparency. This paper empirically studies whether and how the introduction of SCPMS can improve the performance of the humanitarian pharmaceutical donation supply chain for NTDs. We collect a secondary data set from SCPMS and use regression models to empirically study the impact of information sharing on the performance of NTD Supply Chain. We find that information sharing via SCPMS can improve delivery timeliness and demand forecasting accuracy, but this impact may vary across different countries or disease types. Our results may help United Nations, the pharmaceutical companies and the related countries to better manage the pharmaceutical donation supply chain for NTDs and may consequently shorten waiting time for the patients in these countries.

Conference

ConferenceThe Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE)
CountryChina
CityChengdu
Period13/07/1915/07/19
Internet address

Cite this

Kasparis, E., Huang, Y., Lin, B., & Vasilakis, C. (2019). Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain. Abstract from The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE), Chengdu, China.

Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain. / Kasparis, Elena; Huang, Yufei; Lin, Bill; Vasilakis, Christos.

2019. Abstract from The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE), Chengdu, China.

Research output: Contribution to conferenceAbstract

Kasparis, E, Huang, Y, Lin, B & Vasilakis, C 2019, 'Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain' The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE), Chengdu, China, 13/07/19 - 15/07/19, .
Kasparis E, Huang Y, Lin B, Vasilakis C. Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain. 2019. Abstract from The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE), Chengdu, China.
Kasparis, Elena ; Huang, Yufei ; Lin, Bill ; Vasilakis, Christos. / Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain. Abstract from The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE), Chengdu, China.
@conference{763fd4b1f7834b45a20a9455091a96ba,
title = "Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain",
abstract = "Public-private partnerships (PPPs) contribute billions of donated medicines to Mass Drug Administrations (MDAs) in support of the World Health Organization’s “Roadmap to Implementation,” which outlines targets to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medications is challenging due to the many stakeholders and partnerships involved, and more complicated by delivery to remote destinations in developing countries. In September 2016, an online supply chain performance measurement system (SCPMS), “NTDeliver,” was launched to aggregate and share data to enhance information sharing and transparency. This paper empirically studies whether and how the introduction of SCPMS can improve the performance of the humanitarian pharmaceutical donation supply chain for NTDs. We collect a secondary data set from SCPMS and use regression models to empirically study the impact of information sharing on the performance of NTD Supply Chain. We find that information sharing via SCPMS can improve delivery timeliness and demand forecasting accuracy, but this impact may vary across different countries or disease types. Our results may help United Nations, the pharmaceutical companies and the related countries to better manage the pharmaceutical donation supply chain for NTDs and may consequently shorten waiting time for the patients in these countries.",
author = "Elena Kasparis and Yufei Huang and Bill Lin and Christos Vasilakis",
year = "2019",
language = "English",
note = "The Twelfth Annual International Conference of Chinese Scholars Association for Management Science and Engineering (CSASMSE) ; Conference date: 13-07-2019 Through 15-07-2019",
url = "https://glxy.swjtu.edu.cn/csamse2019/en-index.htm",

}

TY - CONF

T1 - Information Sharing and Supply Chain Performance: Evidence from the Neglected Tropical Diseases Preventative Chemotherapy Supply Chain

AU - Kasparis, Elena

AU - Huang, Yufei

AU - Lin, Bill

AU - Vasilakis, Christos

PY - 2019

Y1 - 2019

N2 - Public-private partnerships (PPPs) contribute billions of donated medicines to Mass Drug Administrations (MDAs) in support of the World Health Organization’s “Roadmap to Implementation,” which outlines targets to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medications is challenging due to the many stakeholders and partnerships involved, and more complicated by delivery to remote destinations in developing countries. In September 2016, an online supply chain performance measurement system (SCPMS), “NTDeliver,” was launched to aggregate and share data to enhance information sharing and transparency. This paper empirically studies whether and how the introduction of SCPMS can improve the performance of the humanitarian pharmaceutical donation supply chain for NTDs. We collect a secondary data set from SCPMS and use regression models to empirically study the impact of information sharing on the performance of NTD Supply Chain. We find that information sharing via SCPMS can improve delivery timeliness and demand forecasting accuracy, but this impact may vary across different countries or disease types. Our results may help United Nations, the pharmaceutical companies and the related countries to better manage the pharmaceutical donation supply chain for NTDs and may consequently shorten waiting time for the patients in these countries.

AB - Public-private partnerships (PPPs) contribute billions of donated medicines to Mass Drug Administrations (MDAs) in support of the World Health Organization’s “Roadmap to Implementation,” which outlines targets to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medications is challenging due to the many stakeholders and partnerships involved, and more complicated by delivery to remote destinations in developing countries. In September 2016, an online supply chain performance measurement system (SCPMS), “NTDeliver,” was launched to aggregate and share data to enhance information sharing and transparency. This paper empirically studies whether and how the introduction of SCPMS can improve the performance of the humanitarian pharmaceutical donation supply chain for NTDs. We collect a secondary data set from SCPMS and use regression models to empirically study the impact of information sharing on the performance of NTD Supply Chain. We find that information sharing via SCPMS can improve delivery timeliness and demand forecasting accuracy, but this impact may vary across different countries or disease types. Our results may help United Nations, the pharmaceutical companies and the related countries to better manage the pharmaceutical donation supply chain for NTDs and may consequently shorten waiting time for the patients in these countries.

M3 - Abstract

ER -