Evaluating Firm-Level Technology Adaptation: An Integrated Geometric Mean Model Based on the TOE Framework (M-BOOST)

MUSTAFA ATİLLA ARICIOĞLU

doi:https://doi.org/10.54486/fivezero.2024.41

MUSTAFA ATİLLA ARICIOĞLU, BÜŞRA YİĞİTOL, Sercan Demir, TURAN PAKSOY

Year : 2024
Vol : 4
No : 2
Page : 153-187

DOI : https://doi.org/10.54486/fivezero.2024.41

The speed and convenience brought by technology are critical for businesses and cannot be overlooked. Companies striving to maintain competitiveness are increasingly integrating technology to boost efficiency, enhance product quality, and reduce operational costs. The ability to leverage the advantages of technology is directly proportional to its adoption. Keeping up with technological advancements has become essential for all businesses, regardless of the sector, to remain competitive in the global market. Companies that quickly adopt new technologies gain a competitive edge over their rivals and solidify their market position. However, the rapid pace of technological change also demands a faster adaptation process. This study proposes a new model based on a revised Technology-Organization-Environment (TOE) framework to quantitatively measure technology adaptation performance at the firm level and present adaptation as a numerical output. The M-BOOST model consists of six dimensions—Disruption, Organization, Stakeholder, Behavior, Technology, and Management—each with its own parameters. Each dimension score is calculated as the arithmetic mean of its parameters, while the overall M-BOOST Technology Adaptation Score is determined by the geometric mean of the six dimension scores. The model allows for individual evaluation of each dimension. In addition to separate assessments, an overall adaptation score was calculated based on the proposed formulation, and a value was presented for the case study. Companies with an M-BOOST score below 1 are considered to have technology adaptation issues, those scoring between 1-3 are open to improvement, and those above 3 are deemed successful. Results from the case study application are presented in the conclusion, along with insights on the model’s usability and recommendations for future research.

Cite this Article As : Paksoy, T., Yiğitol, B., Arıcıoğlu, M. A., & Demir, S. (2024). Evaluating firm-level technology Adaptation: An ıntegrated geometric mean model based on the TOE framework (M-BOOST). Fivezero, 4(2), 153-187. https://doi.org/10.54486/fivezero.2024.41

Description : Yazarların hiçbiri, bu makalede bahsedilen herhangi bir ürün, aygıt veya ilaç ile ilgili maddi çıkar ilişkisine sahip değildir. Araştırma, herhangi bir dış organizasyon tarafından desteklenmedi.Yazarlar çalışmanın birincil verilerine tam erişim izni vermek ve derginin talep ettiği takdirde verileri incelemesine izin vermeyi kabul etmektedirler. None of the authors, any product mentioned in this article, does not have a material interest in the device or drug. Research, not supported by any external organization. grant full access to the primary data and, if requested by the magazine they agree to allow the examination of data.

Evaluating Firm-Level Technology Adaptation: An Integrated Geometric Mean Model Based on the TOE Framework (M-BOOST), Research Article,
2024, Vol. 4 (2)

Received : 01.11.2024, Accepted : 19.12.2024 , Published Online : 01.01.2025