IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v8y2016i6p13.html
   My bibliography  Save this article

Identify and Ranking the Factors Affecting Recruitment and Retention of Corporate Customers within Banking System

Author

Listed:
  • Majid Esmaeilpour
  • Hadis Azargoon

Abstract

Customers are considered as key factor in banks’ activities. Recruitment and retention of corporate customers pave the way for continuous growth and development of banks. Hence, today recruitment and retention of corporate customers pave the way to realize all aims, strategies and resources at successful banks. This will not be possible without examination of customers’ demands and awareness from factors affecting recruitment and retention of corporate customers. The present paper considers this point which factors affect recruitment and retention of corporate customers in banking system and how is the priority given to these factors? The present paper is an applied research type, for which a descriptive survey has been used for data collection. The statistical population consists of corporate customers at branches of Bank Melli-city of Bushehr selected using simple random sampling method. The questionnaire has been used as data collection instrument, that the validity and reliability of it has been confirmed. Using exploratory factor analysis, eight factors have been recognized as factors affecting recruitment and retention of corporate customers. The results of this study indicated that reputation and security are the most important factors affecting recruitment and retention of corporate customers, yet diversity at banking services is the least important factor affecting recruitment and retention of corporate customers.

Suggested Citation

  • Majid Esmaeilpour & Hadis Azargoon, 2016. "Identify and Ranking the Factors Affecting Recruitment and Retention of Corporate Customers within Banking System," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(6), pages 1-13, June.
  • Handle: RePEc:ibn:ijefaa:v:8:y:2016:i:6:p:13
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/download/45086/32175
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/view/45086
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    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. Fiordelisi, Franco & Molyneux, Phil, 2010. "Total factor productivity and shareholder returns in banking," Omega, Elsevier, vol. 38(5), pages 241-253, October.
    2. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    3. García Cabello, Julia & Lobillo, F.J., 2017. "Sound branch cash management for less: A low-cost forecasting algorithm under uncertain demand," Omega, Elsevier, vol. 70(C), pages 118-134.
    4. Shulei Cheng & Wei Fan & Jianlin Wang, 2022. "Investigating the humanitarian labor efficiency of China: a factor-specific model," Annals of Operations Research, Springer, vol. 319(1), pages 439-461, December.
    5. Mohuya Deb Purkayastha & Joyeeta Deb & Ram Pratap Sinha, 2023. "Labour-use Efficiency of Assam Gramin Vikash Bank: Branch- and District-level Analysis," Studies in Microeconomics, , vol. 11(1), pages 60-75, April.
    6. 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.
    7. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    8. Shabbar Jaffry & Yaseen Ghulam & Joe Cox, 2006. "Impact of Regulatory Reforms on Labour Efficiency in the Indian and Pakistani Commercial Banks," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(4), pages 1085-1102.
    9. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    10. Ulucan, AydIn & BarIs AtIcI, KazIm, 2010. "Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported project," Omega, Elsevier, vol. 38(1-2), pages 68-83, February.
    11. Liadaki, Aggeliki & Gaganis, Chrysovalantis, 2010. "Efficiency and stock performance of EU banks: Is there a relationship?," Omega, Elsevier, vol. 38(5), pages 254-259, October.
    12. 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.
    13. Christodoulakis, George A. & Olupeka, Taiwo, 2010. "Pricing and momentum of syndicated credit in Europe," Omega, Elsevier, vol. 38(5), pages 325-332, October.
    14. Cabello, Julia García, 2019. "A decision model for bank branch site selection: Define branch success and do not deviate," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    15. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    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. Asmild, Mette & Bogetoft, Peter & Leth Hougaard, Jens, 2013. "Rationalising inefficiency: Staff utilisation in branches of a large Canadian bank," Omega, Elsevier, vol. 41(1), pages 80-87.
    18. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    19. Subhash C. Ray, 2014. "Branching Efficiency in Indian Banking: An Analysis of a Demand-Constrained Network," Working papers 2014-34, University of Connecticut, Department of Economics.
    20. Anup Kumar Bhandari, 2010. "Total Factor Productivity Growth and Its Decomposition: An Assessment of the Indian Banking Sector in the True Liberalised Era," Working Papers id:3181, eSocialSciences.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:8:y:2016:i:6:p:13. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.