ANALYSIS OF THE VISION STATEMENT OF THE FASTEST GROWING TECHNOLOGY COMPANIES IN TURKEY

Abstract

The vision is the expression of where the business wants to be in the future. A forceful
vision has a significant impact on business decisions, such as mission and strategy. The most
important component of a business's vision is the vision statement. A vision statement is
successfully defined only when it is developed based on a set of fundamental criteria. This study
has been prepared to quantitatively evaluate whether businesses can define a successful vision
statement. For this purpose, a quantitative evaluation method has been developed. The
developed method was used to evaluate the vision statements of the fastest growing technology
companies in Turkey. Different methods and approaches were used to develop the method
used in the study. In this context, first of all, the criteria and approaches used in the literature for
the creation of the vision statement were examined. Examined criteria and approaches have
been transformed into common criteria that will enable the evaluation of vision statement by
thematic analysis method. Afterwards, heuristic evaluation method was used to identify the
experts required to evaluate within the framework of common criteria. At the last stage, experts
in the fields of strategy, management, planning, control and technology evaluated the vision
statements of the fastest growing technology enterprises according to the determined criteria. In
order to measure the numerical meaning of these evaluations, the visual acuity score approach
of the eye was used and the vision intelligence score formula was developed. The calculated
vision intelligence score enabled the evaluation and comparative analysis of the vision
statements of the enterprises. This method has made an important contribution to the literature
due to its role in facilitating the analysis of vision statements containing subjective judgments
with an objective evaluation framework and the creation of an effective vision statement.

Authors

Fethi Aslan, Hasan Uzun

Keywords

Vision, Vision Intelligence, Thematic Analysis, Eye-Vision-Organization Relationship, Heuristic Evaluation

Publication Information

Publication Date

December 19, 2021

Submission Date

July 15, 2021

Accepted Date

October 12, 2021

Volume

9

Issue

29

Year

2021

Pages

367-393

Language

Turkish

Status

Published

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DOI

10.33692/avrasyad.1035729

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