IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i22p6327-d285826.html
   My bibliography  Save this article

Packaging as an Offline Method to Share Information: Evidence from the Food and Beverage Industry in the Republic of Korea

Author

Listed:
  • Bulim Choi

    (Logistics System Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

  • Kang-Dae Lee

    (Department of Packaging, Yonsei University, Wonju 26493, Korea)

Abstract

With the growing participation by diverse stakeholders in the total flow of products, as seen with supply chains and logistics, it is becoming increasingly complicated to decide what information is to be shared and who is to be a partner. The purpose of this study is to explore the role of packaging as an offline method to share information in the total channel. This is because packaging improves communication among stakeholders and is normally part of the first contact between them and the product. Thus, it has the strategic potential to share product information that meets stakeholders’ needs. To accomplish this objective, we built a research framework that depicts four hypotheses and tested it with structural equation modeling (SEM). Data were collected by surveys and measured for statistical analysis. After identifying the role of packaging, we showed nine specific related variables and the information’s perceived effects on stakeholders and their directions and relative values. This will help future researchers to discuss packaging’s extended roles, the needs of information separation, and its priority to be shared to help executives develop packaging strategies as an offline means to share information. Additionally, as packaging is considered to be an information generator, it gives participants the opportunity to extend its roles and to assign additional information to the product along the offline flow of goods from manufacturers to end users.

Suggested Citation

  • Bulim Choi & Kang-Dae Lee, 2019. "Packaging as an Offline Method to Share Information: Evidence from the Food and Beverage Industry in the Republic of Korea," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6327-:d:285826
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/22/6327/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/22/6327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Rachel Croson & Karen Donohue & Elena Katok & John Sterman, 2005. "Supply Chain Management: A Teaching Experiment," Springer Books, in: Rami Zwick & Amnon Rapoport (ed.), Experimental Business Research, chapter 0, pages 285-296, Springer.
    3. Samaddar, Subhashish & Nargundkar, Satish & Daley, Marcia, 2006. "Inter-organizational information sharing: The role of supply network configuration and partner goal congruence," European Journal of Operational Research, Elsevier, vol. 174(2), pages 744-765, October.
    4. Al-Mudimigh, Abdullah S. & Zairi, Mohamed & Ahmed, Abdel Moneim M., 2004. "Extending the concept of supply chain:: The effective management of value chains," International Journal of Production Economics, Elsevier, vol. 87(3), pages 309-320, February.
    5. Vanpoucke, E. & Boyer, K. & Vereecke, A., 2009. "Supply chain information flow strategies: an empirical taxonomy," Vlerick Leuven Gent Management School Working Paper Series 2009-03, Vlerick Leuven Gent Management School.
    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. Tiwari, Sunil & Sharma, Pankaj & Choi, Tsan-Ming & Lim, Andrew, 2023. "Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    2. Moellers, Claudia & Normann, Hans-Theo & Snyder, Christopher M., 2017. "Communication in vertical markets: Experimental evidence," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 214-258.
    3. Sivadasan, Suja & Smart, Janet & Huaccho Huatuco, Luisa & Calinescu, Anisoara, 2013. "Reducing schedule instability by identifying and omitting complexity-adding information flows at the supplier–customer interface," International Journal of Production Economics, Elsevier, vol. 145(1), pages 253-262.
    4. Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.
    5. Alma Spaho, 2011. "Determinants of Information Sharing in Supply Chain among Manufacturing and Trading companies in Albania: A Discriminant Analysis," EuroEconomica, Danubius University of Galati, issue 29, pages 75-85, August.
    6. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    7. Tarifa Fernández, Jorge & de Burgos Jiménez, Jerónimo & Céspedes Lorente, José Joaquín, 2018. "Absorptive capacity as a confounder of the process of supply chain integration," MPRA Paper 120125, University Library of Munich, Germany, revised 2018.
    8. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    9. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    10. Fildes, Robert & Goodwin, Paul & Onkal, Dilek, 2015. "Information use in supply chain forecasting," MPRA Paper 66034, University Library of Munich, Germany.
    11. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    12. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
    13. Yiwei Chen & Vivek F. Farias, 2013. "Simple Policies for Dynamic Pricing with Imperfect Forecasts," Operations Research, INFORMS, vol. 61(3), pages 612-624, June.
    14. Lai, Kee-hung & Wong, Christina W.Y. & Lam, Jasmine Siu Lee, 2015. "Sharing environmental management information with supply chain partners and the performance contingencies on environmental munificence," International Journal of Production Economics, Elsevier, vol. 164(C), pages 445-453.
    15. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    16. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    17. Brian Mittendorf & Jiwoong Shin & Dae-Hee Yoon, 2013. "Manufacturer marketing initiatives and retailer information sharing," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 263-287, June.
    18. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
    19. Gaalman, Gerard & Disney, Stephen M., 2009. "On bullwhip in a family of order-up-to policies with ARMA(2,2) demand and arbitrary lead-times," International Journal of Production Economics, Elsevier, vol. 121(2), pages 454-463, October.
    20. Maico Roris Severino & Moacir Godinho Filho, 2019. "POLCA system for supply chain management: simulation in the automotive industry," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1271-1289, March.

    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:jsusta:v:11:y:2019:i:22:p:6327-:d:285826. 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.