IDEAS home Printed from https://ideas.repec.org/a/gam/jforec/v5y2023i4p35-651d1283523.html
   My bibliography  Save this article

Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models

Author

Listed:
  • Dimitrios K. Nasiopoulos

    (BICTEVAC Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 11855 Athens, Greece)

  • Dimitrios A. Arvanitidis

    (BICTEVAC Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 11855 Athens, Greece)

  • Dimitrios M. Mastrakoulis

    (BICTEVAC Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 11855 Athens, Greece)

  • Nikos Kanellos

    (BICTEVAC Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 11855 Athens, Greece)

  • Thomas Fotiadis

    (Department of Production and Management Engineering, Democritus University of Thrace, Vas. Sofias 12 St., 67132 Xanthi, Greece)

  • Dimitrios E. Koulouriotis

    (Department of Production and Management Engineering, Democritus University of Thrace, Vas. Sofias 12 St., 67132 Xanthi, Greece)

Abstract

Globalization has gotten increasingly intense in recent years, necessitating accurate forecasting. Traditional supply chains have evolved into transnational networks that grow with time, becoming more vulnerable. These dangers have the potential to disrupt the flow of goods or several planned actions. For this reason, increased resilience against various types of risks that threaten the viability of an organization is of major importance. One of the ways to determine the magnitude of the risk an organization runs is to measure how popular it is with the buying public. Although risk is impossible to eliminate, effective forecasting and supply chain risk management can help businesses identify, assess, and reduce it. As a result, good supply chain risk management, including forecasting, is critical for every company. To measure the popularity of an organization, there are some discrete values (bounce rate, global ranking, organic traffic, non-branded traffic, branded traffic), known as KPIs. Below are some hypotheses that affect these values and a model for the way in which these values interact with each other. As a result of the research, it is clear how important it is for an organization to increase its popularity, to increase promotion in the shareholder community, and to be in a position to be able to predict its future requirements.

Suggested Citation

  • Dimitrios K. Nasiopoulos & Dimitrios A. Arvanitidis & Dimitrios M. Mastrakoulis & Nikos Kanellos & Thomas Fotiadis & Dimitrios E. Koulouriotis, 2023. "Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models," Forecasting, MDPI, vol. 5(4), pages 1-23, November.
    • Handle: RePEc:gam:jforec:v:5:y:2023:i:4:p:35-651:d:1283523
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-9394/5/4/35/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-9394/5/4/35/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    2. Michael R. Baye & Babur De los Santos & Matthijs R. Wildenbeest, 2016. "Search Engine Optimization: What Drives Organic Traffic to Retail Sites?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(1), pages 6-31, March.
    3. Zaichkowsky, Judith Lynne, 1991. "Consumer behavior: Yesterday, today, and tomorrow," Business Horizons, Elsevier, vol. 34(3), pages 51-58.
    4. Andrey Simonov & Shawndra Hill, 2021. "Competitive Advertising on Brand Search: Traffic Stealing and Click Quality," Marketing Science, INFORMS, vol. 40(5), pages 923-945, September.
    5. Sirgy, M Joseph, 1982. "Self-Concept in Consumer Behavior: A Critical Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 287-300, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Damianos P. Sakas & Ioannis Dimitrios G. Kamperos & Panagiotis Reklitis, 2021. "Estimating Risk Perception Effects on Courier Companies’ Online Customer Behavior during a Crisis, Using Crowdsourced Data," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    2. Roggeveen, Anne L. & Grewal, Dhruv & Karsberg, John & Noble, Stephanie M. & Nordfält, Jens & Patrick, Vanessa M. & Schweiger, Elisa & Soysal, Gonca & Dillard, Annemarie & Cooper, Nora & Olson, Richard, 2021. "Forging meaningful consumer-brand relationships through creative merchandise offerings and innovative merchandising strategies," Journal of Retailing, Elsevier, vol. 97(1), pages 81-98.
    3. Chiara Bartoli, 2022. "Consumer self-concept and digitalization: what does this mean for brands?," Italian Journal of Marketing, Springer, vol. 2022(4), pages 419-437, December.
    4. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    5. Chao-Ming Yang, 2020. "Influences of Product Involvement and Symbolic Consumption Cues in Advertisements on Consumer Attitudes," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 11(2), pages 1-15, March.
    6. Elena Bonel & Mauro Capestro & Eleonora Di Maria, 2023. "How COVID-19 impacted cultural consumption: an explorative analysis of Gen Z’s digital museum experiences," Italian Journal of Marketing, Springer, vol. 2023(2), pages 135-160, June.
    7. Abdelmajid Amine & Audrey Bonnemaizon & Margaret Josion-Portail, 2017. "Tailoring Elderly Patients’ Identities through Healthcare Service Relationships: Toward a Guardian Conception of Vulnerable Publics’ Identities," Post-Print hal-01684147, HAL.
    8. Misuraca, Roberta & Zimmermann, Klaus, 2024. "Migration and Consumption," MERIT Working Papers 2024-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Maystre, Nicolas & Olivier, Jacques & Thoenig, Mathias & Verdier, Thierry, 2014. "Product-based cultural change: Is the village global?," Journal of International Economics, Elsevier, vol. 92(2), pages 212-230.
    10. Ahn, Suhyoung & Ellie Jin, Byoungho & Seo, Hyesim, 2024. "Why do people interact and buy in the Metaverse? Self-Expansion perspectives and the impact of hedonic adaptation," Journal of Business Research, Elsevier, vol. 175(C).
    11. Zhang, Jing & Chen, Mingliang & Xie, Zhaohan & Zhuang, Jingyi, 2022. "Don't fall into exquisite poverty: The impact of mismatch between consumers and luxury brands on happiness," Journal of Business Research, Elsevier, vol. 151(C), pages 298-309.
    12. Stadler Blank, Ashley & Koenigstorfer, Joerg & Baumgartner, Hans, 2018. "Sport team personality: It’s not all about winning!," Sport Management Review, Elsevier, vol. 21(2), pages 114-132.
    13. Heffner, Reid R., 2007. "Semiotics and Advanced Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and Why it Matters to Consumers," Institute of Transportation Studies, Working Paper Series qt9mw1t4w3, Institute of Transportation Studies, UC Davis.
    14. Roberta Capello & Andrea Caragliu, 2021. "Regional growth and disparities in a post‐COVID Europe: A new normality scenario," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 710-727, September.
    15. Mauro Bambi & Daria Ghilli & Fausto Gozzi & Marta Leocata, 2021. "Habits and demand changes after COVID-19," Papers 2107.00909, arXiv.org, revised Mar 2022.
    16. Mansi R. Rathod & Naresh K. Patel & Akash S. Koul, 2015. "Brand Personality and Self Congruence in Laptop Computers," Jindal Journal of Business Research, , vol. 4(1-2), pages 67-80, June.
    17. Peluso, Alessandro M. & Pichierri, Marco & Pino, Giovanni, 2021. "Age-related effects on environmentally sustainable purchases at the time of COVID-19: Evidence from Italy," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    18. Shunying Zhao & Qiang Yang & Hohjin Im & Baojuan Ye & Yadi Zeng & Zhinan Chen & Lu Liu & Dawu Huang, 2022. "The impulsive online shopper: effects of COVID-19 burnout, uncertainty, self-control, and online shopping trust," Future Business Journal, Springer, vol. 8(1), pages 1-15, December.
    19. Yu, Jingru & Xie, Ningke & Zhu, Jiangtao & Qian, Yiwei & Zheng, Sijing & Chen, Xiqun (Michael), 2022. "Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China," Transport Policy, Elsevier, vol. 115(C), pages 220-238.
    20. Zhao, Haifeng & Khaliq, Nosherwan, 2024. "In quest of perceived risk determinants affecting intention to use fintech: Moderating effects of situational factors," Technological Forecasting and Social Change, Elsevier, vol. 207(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jforec:v:5:y:2023:i:4:p:35-651:d:1283523. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.