IDEAS home Printed from https://ideas.repec.org/a/mth/jsss88/v5y2018i1p214-222.html
   My bibliography  Save this article

Performance Analysis for Major Chain Convenience Stores in Taiwan

Author

Listed:
  • Spring C. Hsu

Abstract

Taiwan is one of the highest density market of convenience stores in the world, and most of the stores belong to certain major chain convenience store systems. Therefore, it is important to analyze the operating performance of these chain convenience stores. This study selects the four largest domestic chain convenience store systems in Taiwan, as 7-Eleven, FamilyMart, Hi-Life, and OK-Mart, for the operational efficiency and comparative analysis. Moreover, this study deploys the data envelopment analysis (DEA) efficiency measurement method for measuring efficiency of these chain convenience stores because of its proved effectiveness in many manufacturing and service operating efficiency analysis. The results of this study show that the operating performance of 7-Eleven is the most efficient due to the economy of scales. However, 7-Eleven should beware of the followed FamilyMart, which owns the 85% relative efficiency compared to 7-Eleven, and may catch up with 7-Eleven if it increases its number of stores.

Suggested Citation

  • Spring C. Hsu, 2018. "Performance Analysis for Major Chain Convenience Stores in Taiwan," Journal of Social Science Studies, Macrothink Institute, vol. 5(1), pages 214-222, January.
    • Handle: RePEc:mth:jsss88:v:5:y:2018:i:1:p:214-222
    as

    Download full text from publisher

    File URL: http://www.macrothink.org/journal/index.php/jsss/article/view/12246
    Download Restriction: no
    File URL: http://www.macrothink.org/journal/index.php/jsss/article/view/12246
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    2. Sathye, Milind, 2003. "Efficiency of banks in a developing economy: The case of India," European Journal of Operational Research, Elsevier, vol. 148(3), pages 662-671, August.
    3. Saha, Asish & Ravisankar, T. S., 2000. "Rating of Indian commercial banks: A DEA approach," European Journal of Operational Research, Elsevier, vol. 124(1), pages 187-203, July.
    4. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2006. "Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology," European Journal of Operational Research, Elsevier, vol. 172(3), pages 1018-1039, August.
    5. Ramanathan, R, 2001. "Comparative Risk Assessment of energy supply technologies: a Data Envelopment Analysis approach," Energy, Elsevier, vol. 26(2), pages 197-203.
    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. Gunjan M. Sanjeev, 2006. "Data Envelopment Analysis (Dea) for Measuring Technical Efficiency of Banks," Vision, , vol. 10(1), pages 13-27, January.
    2. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
    3. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.
    4. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2018. "Measures of Labor Use Efficiency from a Cost-Based Dual Representation of the Technology: A Study of Indian Bank Branches," Working papers 2018-17, University of Connecticut, Department of Economics.
    5. Rudra Sensarma, 2008. "Deregulation, ownership and profit performance of banks: evidence from India," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1581-1595.
    6. Deepak Tandon & Kamini Tandon & Nidhi Malhotra, 2014. "An Evaluation of the Technical, Pure Technical and Scale Efficiencies in the Indian Banking Industry using Data Envelope Analysis," Global Business Review, International Management Institute, vol. 15(3), pages 545-563, September.
    7. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    8. Rakesh Arrawatia & Arun Misra, 2014. "Competition, Concentration and the Relevance of New Banks’ Entry in the Indian Banking System," Global Business Review, International Management Institute, vol. 15(2), pages 223-236, June.
    9. Jaffry, Shabbar & Ghulam, Yaseen & Pascoe, Sean & Cox, Joe, 2007. "Regulatory changes and productivity of the banking sector in the Indian sub-continent," Journal of Asian Economics, Elsevier, vol. 18(3), pages 415-438, June.
    10. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2008. "Labour use efficiency in the Indian and Pakistani commercial banks," Journal of Asian Economics, Elsevier, vol. 19(3), pages 259-293, June.
    11. E. Nur Ozkan‐Gunay & Arzu Tektas, 2006. "Efficiency Analysis Of The Turkish Banking Sector In Precrisis And Crisis Period: A Dea Approach," Contemporary Economic Policy, Western Economic Association International, vol. 24(3), pages 418-431, July.
    12. Ravi Kumar Jain & Ramachandran Natarajan & Amlan Ghosh, 2016. "Decision Tree Analysis for Selection of Factors in DEA: An Application to Banks in India," Global Business Review, International Management Institute, vol. 17(5), pages 1162-1178, October.
    13. Sunil Kumar, 2008. "An Analysis of Efficiency–Profitability Relationship in Indian Public Sector Banks," Global Business Review, International Management Institute, vol. 9(1), pages 115-129, June.
    14. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    15. Dipasha Sharma, 2018. "Stock Market Performance and Efficiency of Banks in a Developing Economy: Evidence from the Indian Banking Sector," IIM Kozhikode Society & Management Review, , vol. 7(2), pages 178-193, July.
    16. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
    17. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.
    18. Kristjanpoller Rodríguez Werner & Saavedra Rodríguez Oscar, 2014. "La eficiencia técnica de los bancos durante la crisis Caso aplicado a la rentabilidad de la banca comercial en México y Chile," Contaduría y Administración, Accounting and Management, vol. 59(1), pages 95-122, enero-mar.
    19. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2013. "Trends in efficiency in response to regulatory reforms: The case of Indian and Pakistani commercial banks," European Journal of Operational Research, Elsevier, vol. 226(1), pages 122-131.
    20. Rakesh Arrawatia & Arun Misra & Varun Dawar & Debasish Maitra, 2019. "Bank Competition in India: Some New Evidence Using Risk-Adjusted Lerner Index Approach," Risks, MDPI, vol. 7(2), pages 1-12, April.

    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:mth:jsss88:v:5:y:2018:i:1:p:214-222. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/jsss .

    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.