Abstract
Organizations develop capabilities to manage activities and generate value for their customers. This study focuses on the adoption capability of innovation adopting organizations. Adoption capability is a complex, and multidimensional concept that includes a high level of uncertainty, making it difficult to measure. This study attempts to find a systematic methodology to measure the innovation adoption capability of firms, through which management can monitor and evaluate a firm’s strengths and weaknesses in each capability dimension compared with competitors, predict their future needs for improvements, and plan necessary activities to stay competitive in the market. The proposed model considers multiple quantitative and qualitative adoption capability dimensions simultaneously and utilizes a relatively comprehensive set of adoption capability elements by developing 35 items and classifying them into six dimensions. This study uses the fuzzy weighted aggregated sum product assessment (WASPAS) method as a multi-attribute decision-making (MADM) approach. The model is applied to three competing firms in the consumer electronics sector, and the results are discussed.
Disclosure Statement
No potential conflict of interest was reported by the author(s).
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/10429247.2024.2372517
Additional information
Notes on contributors
Tufan Koc
Tufan Koç is a Professor in the Department of Industrial Engineering at Istanbul Technical University. He received his BSc in Mechanical Engineering and Ph.D. from the Department of Industrial Engineering at Istanbul Technical University. From 1987 to 1988, he was a visiting scholar at Warsaw University of Technology. His research interest concerns Management of Technology and Innovation. He has national and international publications on related topics.
Erhan Bozdag
Erhan Bozdag is an Assistant Professor in the Department of Industrial Engineering at Istanbul Technical University. He earned his BSc in Industrial Engineering and Ph.D. from the Department of Industrial Engineering at Istanbul Technical University. His research interest concerns Decision Sciences, quantitative methods in innovation and simulation. He has several national and international publications on related subjects.