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A Benchmark for Banks’ Strategy in Online Presence – An Innovative Approach Based on Elements of Search Engine Optimization (SEO) and Machine Learning Techniques

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  • Camelia Elena CIOLAC

    () (The Bucharest Academy of Economic Studies, Romania)

Abstract

This paper aims to offer a new decision tool to assist banks in evaluating their efficiency of Internet presence and in planning the IT investments towards gaining better Internet popularity. The methodology used in this paper goes beyond the simple website interface analysis and uses web crawling as a source for collecting website performance data and employed web technologies and servers. The paper complements this technical perspective with a proposed scorecard used to assess the efforts of banks in Internet presence that reflects the banks’ commitment to Internet as a distribution channel. An innovative approach based on Machine Learning Techniques, the K-Nearest Neighbor Algorithm, is proposed by the author to estimate the Internet Popularity that a bank is likely to achieve based on its size and efforts in Internet presence.

Suggested Citation

  • Camelia Elena CIOLAC, 2011. "A Benchmark for Banks’ Strategy in Online Presence – An Innovative Approach Based on Elements of Search Engine Optimization (SEO) and Machine Learning Techniques," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 91-105, June.
  • Handle: RePEc:rom:econmn:v:14:y:2011:i:1:p:91-105
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    File URL: http://www.management.ase.ro/reveconomia/2011-1/9.pdf
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    References listed on IDEAS

    as
    1. MARIN-PANTELESCU Andreea & TIGU Gabriela & STATE Olimpia, 2009. "Globalization: an open door for the knowledge economy," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(2), pages 154-161, December.
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    More about this item

    Keywords

    SEO; Internet Website Popularity; banking industry; Machine Learning; K-Nearest Neighbors.;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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