Electronic Theses and Dissertations
Identifier
2686
Date
2016
Document Type
Dissertation (Access Restricted)
Degree Name
Doctor of Business Admin
Major
Business Administration
Concentration
Management Information Systems
Committee Chair
Mark L Gillenson
Committee Member
Robin S Poston
Committee Member
James M Lukawitz
Abstract
For businesses to function properly and interact with each other in modern supply networks, it is critically important that they have high quality communication processes based on commonly accepted bodies of professional terminology.A taxonomy designed from a set of terms derived empirically by way of textual analysis could serve as a linguistic foundation for the communication process mentioned above.In any organization the professional language based on such terminology exists as a continuous social process of negotiating the meaning for and upholding the accepted use of the old terms as well as the new ones.But, in today's business world, new disciplines and changes to existing disciplines occur so rapidly that it is difficult for practitioners to develop and agree on common sets of terminology quickly enough.This research deals with an issue deemed central to any business, which is the issue of removing the barriers in professional communication and understanding. Specifically we study the means of resolving the problems with the new and confusing terminology aggressively promoted by highly innovative members of industries, both new firms as well as the established industry leaders whose influence cannot be ignored by their customers.The problem is modeled and researched first, after which the research findings are used as guiding principles for a designed solution, which concludes the current research effort.Shannon’s (1948) Communication Model serves as a master model, which ties together all theories, referenced in this research.Following the Design Science paradigm the solution comes in the form of a planned language process, the main feature of which is the evolving taxonomy, which is a designed outcome of computer-assisted textual analysis.While many highly dynamic industries face these challenges, for this study we chose the database industry as highly indicative of the problem, and especially its Big Data products.We pay special attention to clarity in presenting the researcher’s view on research design for this inquiry. This view is based on Crotty (1998) research design elements, which permits both qualitative and quantitative methods to be utilized in our study.Systematics is emphasized throughout the research process.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Ambartsoumian, Vladimir G., "A Generalized Methodology for Creating a Taxonomy of Terminology for Any Business Discipline Using Automated Text Analysis" (2016). Electronic Theses and Dissertations. 2213.
https://digitalcommons.memphis.edu/etd/2213
Comments
Data is provided by the student.