IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0175872.html
   My bibliography  Save this article

The improved business valuation model for RFID company based on the community mining method

Author

Listed:
  • Shugang Li
  • Zhaoxu Yu

Abstract

Nowadays, the appetite for the investment and mergers and acquisitions (M&A) activity in RFID companies is growing rapidly. Although the huge number of papers have addressed the topic of business valuation models based on statistical methods or neural network methods, only a few are dedicated to constructing a general framework for business valuation that improves the performance with network graph (NG) and the corresponding community mining (CM) method. In this study, an NG based business valuation model is proposed, where real options approach (ROA) integrating CM method is designed to predict the company’s net profit as well as estimate the company value. Three improvements are made in the proposed valuation model: Firstly, our model figures out the credibility of the node belonging to each community and clusters the network according to the evolutionary Bayesian method. Secondly, the improved bacterial foraging optimization algorithm (IBFOA) is adopted to calculate the optimized Bayesian posterior probability function. Finally, in IBFOA, bi-objective method is used to assess the accuracy of prediction, and these two objectives are combined into one objective function using a new Pareto boundary method. The proposed method returns lower forecasting error than 10 well-known forecasting models on 3 different time interval valuing tasks for the real-life simulation of RFID companies.

Suggested Citation

  • Shugang Li & Zhaoxu Yu, 2017. "The improved business valuation model for RFID company based on the community mining method," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    • Handle: RePEc:plo:pone00:0175872
    DOI: 10.1371/journal.pone.0175872
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0175872
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0175872&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0175872?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adam Borison, 2005. "Real Options Analysis: Where Are the Emperor's Clothes?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 17(2), pages 17-31, March.
    2. Boomsma, Trine Krogh & Meade, Nigel & Fleten, Stein-Erik, 2012. "Renewable energy investments under different support schemes: A real options approach," European Journal of Operational Research, Elsevier, vol. 220(1), pages 225-237.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Veronika Jezkova & Zuzana Rowland & Veronika Machova & Jan Hejda, 2020. "The Intrinsic Value of an Enterprise Determined by Means of the FCFE Tool," Sustainability, MDPI, vol. 12(21), pages 1-13, October.

    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. Favato, Giampiero & Vecchiato, Riccardo, 2017. "Embedding real options in scenario planning: A new methodological approach," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 135-149.
    2. Alexander, Carol & Chen, Xi & Ward, Charles, 2021. "Risk-adjusted valuation for real option decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1046-1064.
    3. Kim, Kyeongseok & Park, Hyoungbae & Kim, Hyoungkwan, 2017. "Real options analysis for renewable energy investment decisions in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 918-926.
    4. Marek Durica & Danuse Guttenova & Ludovit Pinda & Lucia Svabova, 2018. "Sustainable Value of Investment in Real Estate: Real Options Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    5. Fabio Antoniou & Roland Strausz, 2014. "The Effectiveness of Taxation and Feed-in Tariffs," CESifo Working Paper Series 4788, CESifo.
    6. Guedes, José & Santos, Pedro, 2016. "Valuing an offshore oil exploration and production project through real options analysis," Energy Economics, Elsevier, vol. 60(C), pages 377-386.
    7. Andrejs Čirjevskis, 2022. "Measuring Collaborative Synergies with Advanced Real Options: MNEs’ Sequential Acquisitions of International Ventures," JRFM, MDPI, vol. 16(1), pages 1-18, December.
    8. de Bragança, Gabriel Godofredo Fiuza & Daglish, Toby, 2017. "Investing in vertical integration: electricity retail market participation," Energy Economics, Elsevier, vol. 67(C), pages 355-365.
    9. Alain Bensoussan & Benoit Chevalier-Roignant & Alejandro Rivera, 2022. "A model for wind farm management with option interactions," Post-Print hal-04325553, HAL.
    10. Yuqun Dong & Yaming Zhuang, 2023. "Research on an Investment Decision Model of Waste Incineration Power under Demand Guarantee Policies," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    11. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    12. Linnerud, Kristin & Andersson, Ane Marte & Fleten, Stein-Erik, 2014. "Investment timing under uncertain renewable energy policy: An empirical study of small hydropower projects," Energy, Elsevier, vol. 78(C), pages 154-164.
    13. Toka, Agorasti & Iakovou, Eleftherios & Vlachos, Dimitrios & Tsolakis, Naoum & Grigoriadou, Anastasia-Loukia, 2014. "Managing the diffusion of biomass in the residential energy sector: An illustrative real-world case study," Applied Energy, Elsevier, vol. 129(C), pages 56-69.
    14. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    15. Sun, Bo & Fan, Boyang & Zhang, Yifan & Xie, Jingdong, 2023. "Investment decisions and strategies of China's energy storage technology under policy uncertainty: A real options approach," Energy, Elsevier, vol. 278(PA).
    16. Kroniger, Daniel & Madlener, Reinhard, 2014. "Hydrogen storage for wind parks: A real options evaluation for an optimal investment in more flexibility," Applied Energy, Elsevier, vol. 136(C), pages 931-946.
    17. Hougaard, Jens Leth & Kronborg, Dorte & Smilgins, Aleksandrs, 2017. "Fair division of costs in green energy markets," Energy, Elsevier, vol. 139(C), pages 220-230.
    18. Balibrea-Iniesta, José & Rodríguez-Monroy, Carlos & Núñez-Guerrero, Yilsy María, 2021. "Economic analysis of the German regulation for electrical generation projects from biogas applying the theory of real options," Energy, Elsevier, vol. 231(C).
    19. David Laughton & Raul Guerrero & Donald Lessard, 2008. "Real Asset Valuation: A Back‐to‐basics Approach," Journal of Applied Corporate Finance, Morgan Stanley, vol. 20(2), pages 46-65, March.
    20. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0175872. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.