BSC-Based Digital Transformation Strategy Selection and Sensitivity Analysis

Mahir Oner (), Ufuk Cebeci and Onur Dogan
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Mahir Oner: Department of Industrial Engineering, Munzur University, 62000 Tunceli, Türkiye
Ufuk Cebeci: Department of Industrial Engineering, Istanbul Technical University, 34367 Istanbul, Türkiye
Onur Dogan: Department of Management Information Systems, Izmir Bakircay University, 35655 Izmir, Türkiye

Mathematics, 2024, vol. 12, issue 2, 1-21

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.

Keywords: fuzzy AHP; spherical fuzzy sets; decision making; sensitivity analysis; balanced scorecard (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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