Development of information and analytical model of the stimulating internet marketing

Authors

DOI:

https://doi.org/10.15587/2312-8372.2018.148567

Keywords:

information model, stimulating Internet marketing, number of referrals (site visits), target audience, search engine optimization

Abstract

The object of research is Internet marketing in the modern information network space. Against the background of the rapid development of information technology, the Internet network increasingly occupies a leading position in the areas of promotion and sale of various goods. At the same time, with this classic methods and approaches of marketing are experiencing obvious loss of dominant positions. One of the most problematic places is the effective application of modern methods and approaches for the development of Internet marketing and, in particular, stimulating Internet marketing, which contributes to the promotion of products in accordance with the preferences of potential consumers. There is also a need to balance the resources involved in the implementation of Internet marketing in accordance with the possible volume of the result.

The classic methods of marketing and the latest information technology are used to distribute and process information in network systems. In order to eliminate the shortcomings, a combination of classic and new approaches is put together, in order to provide stimulating Internet marketing in an easier way to manage.

Information model of stimulating online marketing is summarized. This model will consist of separate, interconnected blocks, aimed at meeting the needs of potential customers, as well as meeting the requirements of those who provide relevant Internet services. It is the consideration of the needs and requirements of all parties involved in stimulating Internet marketing in the form of separate interrelated blocks of the model, which makes it possible to reveal the peculiarities of such a process.

Therefore, it is possible to determine the analytical description of the information model of the stimulating Internet marketing. This allows to determine the development of incentive Internet marketing, the direction of optimizing its conduct. This provides such advantages as the flexibility of the process of conducting the stimulating Internet marketing and targeted delivery of information to the chosen target audience.

Author Biography

Tetiana Tykha, Kharkiv National University of Radio Electronics, 14, Nauka ave., Kharkiv, Ukraine, 61166

Senior Lecturer, Postgraduate Student

Department of Natural Sciences

References

  1. Ahmad, S. Z., Abu Bakar, A. R., Faziharudean, T. M., Mohamad Zaki, K. A. (2014). An Empirical Study of Factors Affecting e-Commerce Adoption among Small- and Medium-Sized Enterprises in a Developing Country: Evidence from Malaysia. Information Technology for Development, 21 (4), 555–572. doi: http://doi.org/10.1080/02681102.2014.899961
  2. Sliunina, T. L., Berezhnyi, Ye. B., Liashenko, V. V. (2007). Rozvytok vitchyznianoi merezhi bankivskykh ustanov: osoblyvosti ta rehionalni aspekty. Visnyk KhNU im. V. N. Karazina. Ekonomichna seriia, 755, 84–88.
  3. Azarenkova, H., Liashenko, V. (2009). Vidnoshennia perevah u porivnialnii otsintsi diialnosti bankiv. Bankivska sprava, 5, 65–72.
  4. Hossain, M. S., Rahman, M. F. (2017). Tools of online marketing. International Journal of Science and Business, 1 (1), 1–7.
  5. Omarov, М., Tikhaya, T., Lyashenko, V. (2018). Internet Marketing Technologies In Civil Engineering. International Journal of Civil Engineering and Technology, 9 (7), 1233–1240.
  6. Kaplinski, O., Koseleva, N., Ropaite, G. (2016). Big data in civil engineering: a state-of-the-art survey. Engineering Structures and Technologies, 8 (4), 165–175. doi: http://doi.org/10.3846/2029882x.2016.1257373
  7. Negi, D., Jain, M. P. (2017). E-Commerce and Insurance Internet Marketing: A Business Review from Indian Context. International Journal of Scientific Research and Management, 5 (9), 7124–7128.
  8. Shaltoni, A. M. (2017). From websites to social media: exploring the adoption of internet marketing in emerging industrial markets. Journal of Business & Industrial Marketing, 32 (7), 1009–1019. doi: http://doi.org/10.1108/jbim-06-2016-0122
  9. Thanasrivanitchai, J., Moschis, G. P., Shannon, R. (2017). Explaining older consumers' low use of the internet. International Journal of Internet Marketing and Advertising, 11 (4), 355–375. doi: http://doi.org/10.1504/ijima.2017.10007889
  10. Key, T. M., Czaplewski, A. J. (2017). Upstream social marketing strategy: An integrated marketing communications approach. Business Horizons, 60 (3), 325–333. doi: http://doi.org/10.1016/j.bushor.2017.01.006
  11. Bloom, P. N., Pattie, Y. H., Lisa, R. S. (2018). The benefits of corporate social marketing initiatives. Social Marketing. Psychology Press, 313–331.
  12. Stead, M., Gerard, H. (2018). Advertising in the social marketing mix: getting the balance right. Social Marketing. Psychology Press, 29–43.
  13. Gray, C. (2017). Stage models of ICT adoption in small firms. Impact of E-Commerce on Consumers and Small Firms. Routledge, 19–36.
  14. Limba, T., Kiskis, M., Guleviciute, G., Stasiukynas, A., Pleta, T., Juozapaviciute, I. (2018). Model based on qualitative criteria for internet marketing development. Entrepreneurship and Sustainability Issues, 5 (3), 618–633. doi: http://doi.org/10.9770/jesi.2018.5.3(15)
  15. Prasad, P., Pooja, S. (2018). Social Media Marketing: Tools and Techniques. Application of Gaming in New Media Marketing. IGI Global, 202–214. doi: http://doi.org/10.4018/978-1-5225-6064-7.ch012
  16. Khasawneh, R. T. (2017). Social Media as a New Emerging Tool of Marketing. Strategic Uses of Social Media for Improved Customer Retention. IGI Global, 1–10. doi: http://doi.org/10.4018/978-1-5225-1686-6.ch001
  17. Trusov, M., Bucklin, R. E., Pauwels, K. (2009). Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site. Journal of Marketing, 73 (5), 90–102. doi: http://doi.org/10.1509/jmkg.73.5.90
  18. Rust, R. T., Verhoef, P. C. (2005). Optimizing the Marketing Interventions Mix in Intermediate-Term CRM. Marketing Science, 24 (3), 477–489. doi: http://doi.org/10.1287/mksc.1040.0107

Published

2018-05-31

How to Cite

Tykha, T. (2018). Development of information and analytical model of the stimulating internet marketing. Technology Audit and Production Reserves, 6(2(44), 10–15. https://doi.org/10.15587/2312-8372.2018.148567

Issue

Section

Information Technologies: Original Research