Richter, Nicole FranziskaNicole FranziskaRichterHauff, SvenSvenHauffKolev, Aleksandar EvgenievAleksandar EvgenievKolevSchubring, SandraSandraSchubring2023-11-232023-11-232023-06Data in Brief 48: 109190 (2023-06)https://hdl.handle.net/11420/44296As technology has become indispensable in consumers’ daily life and economic growth, understanding how and why consumers decide to accept and use a new technology has become essential to both academic researchers and practice. This article provides a detailed dataset based on a questionnaire that utilizes an extended technology acceptance model (TAM), incorporating the theory of consumer values and the innovation diffusion theory. Data collection was done with an online survey among French consumers, resulting in a sample size of 174. The dataset contains measures on various consumer attitudes and perceptions (e.g., consumption values) that influence intention and behaviors (adoption intention and technology use). This article supplements a published research article by Richter, Schubring, Hauff, Ringle and Sarstedt [1] which provides a detailed guide on how to combine partial least squares structural equation modeling (PLS-SEM) with necessary condition analysis (NCA) and a related illustration in a standard software published by Richter, Hauff, Ringle, Sarstedt, Kolev and Schubring [2].en2352-34092023Elsevierhttps://creativecommons.org/licenses/by/4.0/Consumer behaviorE-book readerFrench consumer dataNecessary condition analysis (NCA)Partial least squares structural equation modeling (PLS-SEM)Technology acceptance model (TAM)Management, Public RelationsData Paper10.15480/882.885010.1016/j.dib.2023.10919010.15480/882.8850Data Paper