Effects and challenges of the COVID-19 pandemic in supply chain management: a text analytics approach
Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2024
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Supply Chain Forum
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
25
Ausgabe / Nummer
4
Seiten / Dauer
486-503
Patentnummer
Verlag / Herausgebende Institution
Taylor & Francis
Verlagsort / Veranstaltungsort
London
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The coronavirus has had many effects on supply chains and logistics, most of which are negative. Due to the importance of logistics and supply chain in the world, any disruption or mismanagement causes many problems not only in the countries directly affected but also globally. In this article, new textual data are collected from reputable commercial and news websites related to the effects of COVID-19 on logistics and supply chains. After collecting textual data, valuable information about the impact of the coronavirus is extracted using various text mining techniques performed with R programming. Finally, issues related to COVID-19 and supply chains are identified and divided into five categories: suppliers and products, governments and organisations, health, evaluation, problems, and barriers. Also, categorising the problems and limitations of supply chains and logistics will provide managerial insights to minimise obstacles and disruptions. In particular, managers should consider several suppliers to reduce dependencies and also focus on domestic suppliers because of transportation limitations. Moreover, companies should pay attention to the health of societies and employ new policies, as well as pay attention to consumer behaviour such as their tendency to buy online.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1625-8312
1624-6039
1624-6039
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Hybrid
Lizenz
Zitation
KHODOOMI, Mohammad Reza, Marziye SEIF und Thomas HANNE, 2024. Effects and challenges of the COVID-19 pandemic in supply chain management: a text analytics approach. Supply Chain Forum. 2024. Bd. 25, Nr. 4, S. 486–503. DOI 10.1080/16258312.2023.2253523. Verfügbar unter: https://doi.org/10.26041/fhnw-10920