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Thinking Out of the Box. Non-typical Research Methods in Business

In: Modernizing the Academic Teaching and Research Environment

Author

Listed:
  • Kinaz Al Aytouni

    (Arab International University (AIU))

  • Kinan M. Naddeh

    (Arab International University (AIU))

Abstract

After discussing statistical techniques for data selection, collection, coding, manipulation, summarizing and presentation, this chapter describes one of some relatively new research methods in business, which are non-typical, non-statistical in nature. Artificial Neural Networks (ANNs), case-based reasoning, fuzzy logic and genetic algorithms are advanced techniques that show promises as enablers to solve some difficulties that may lie in analyzing and synthesizing complex systems, which include large quantities of data from several different sources into a coherent research model. Raising the idea up of discovering un-noticed observations or data in front of a researcher is for a purpose. One of the new techniques proposed in this chapter, like data mining, rely on discovering unobserved or unnoticed patterns in the already available data and data sources. This chapter will focus on using ANN method, what is it, who will use it, why and how to use it. The chapter ends by presenting the future trend in using this method, which is the combination among typical and non-typical methods.

Suggested Citation

  • Kinaz Al Aytouni & Kinan M. Naddeh, 2018. "Thinking Out of the Box. Non-typical Research Methods in Business," Progress in IS, in: Jorge Marx Gómez & Sulaiman Mouselli (ed.), Modernizing the Academic Teaching and Research Environment, pages 127-160, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-74173-4_8
    DOI: 10.1007/978-3-319-74173-4_8
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