BSC-Based Digital Transformation Strategy Selection and Sensitivity Analysis

Mahir Oner*, Ufuk Cebeci, Onur Dogan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In today’s digital age, businesses are tasked with adapting to rapidly advancing technology. This transformation is far from simple, with many companies facing difficulties navigating new technological trends. This paper highlights a key segment of a comprehensive strategic model developed to address this challenge. The model integrates various planning and decision-making tools, such as the Balanced Scorecard (BSC), Objectives and Key Results (OKR), SWOT analysis, TOWS, and the Spherical Fuzzy Analytic Hierarchy Process (SFAHP). Integrating these tools in the proposed model provides businesses with a well-rounded pathway to manage digital transformation. The model considers human elements, uncertainty management, needs prioritization, and flexibility, aiming to find the optimal balance between theory and practical applications in real-world business scenarios. This particular study delves into the use of SFAHP, specifically addressing the challenge of effectively selecting the most suitable strategy among various options. This approach not only brings a new perspective to digital transformation but also highlights the importance of choosing the right strategy. This choice is crucial for the overall adaptation of businesses. It shows how carefully applying the SFAHP method is key. Combining this with a successful digital transformation strategy is essential. Together, they provide practical and efficient solutions for businesses in a fast-changing technological environment.

Original languageEnglish
Article number225
JournalMathematics
Volume12
Issue number2
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

  • balanced scorecard
  • decision making
  • fuzzy AHP
  • sensitivity analysis
  • spherical fuzzy sets

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