Are Russian Consumers Ready for the Technologies of the Future? Practical Approbation of the Digital Innovation Readiness Assessment DOI Open Access
Marina Ryzhkova, Andrey P. Glukhov,

Е. Н. Соболева

et al.

Vestnik Tomskogo gosudarstvennogo universiteta Ekonomika, Journal Year: 2020, Volume and Issue: 52, P. 32 - 52

Published: Jan. 1, 2020

In the article, authors analyze behavioral practices and consumer strategies of digital resistance. They aim to identify ways minimize adverse effect digitalization. The general framework for this study resistance is diffusion innovations theory, which explains digitalization as an inevitable process that flows simultaneously with antagonistic innovation. research based on materials a preliminary in-depth interview about level article proposes original methodology measuring readiness adopt innovations. It also shows results its testing small quota sample. tool test potential consumer’s willingness industry-specific digital.

Language: Английский

GenAI Learning for Game Design: Both Prior Self-Transcendent Pursuit and Material Desire Contribute to a Positive Experience DOI Creative Commons
Dongpeng Huang, James E. Katz

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(4), P. 78 - 78

Published: March 27, 2025

This study explores factors influencing positive experiences with generative AI (GenAI) in a learning game design context. Using sample of 26 master’s-level students course on AI’s societal aspects, this examines the impact (1) prior knowledge and attitudes toward technology learning, (2) personal value orientations. Results indicated that both students’ self-transcendent goals desire for material benefits have correlations collaborative, cognitive, affective outcomes. However, are stronger predictor, as determined by stepwise regression analysis. Attitudes were positively associated cognitive outcomes during first week, though association did not persist into second week. Most other attitudinal variables collaborative or but linked to negative affect. These findings suggest values correlate more strongly aspects using GenAI educational than their attributes. result may indicate experience neutralizes effect earlier towards technology, major influences deriving from If these borne out, has implications utility current efforts change especially those encourage women STEM topics. Thus, it be that, rather pro-technology instruction, focus orientations would effective way diverse participate programs.

Language: Английский

Citations

0

Are Russian Consumers Ready for the Technologies of the Future? Practical Approbation of the Digital Innovation Readiness Assessment DOI Open Access
Marina Ryzhkova, Andrey P. Glukhov,

Е. Н. Соболева

et al.

Vestnik Tomskogo gosudarstvennogo universiteta Ekonomika, Journal Year: 2020, Volume and Issue: 52, P. 32 - 52

Published: Jan. 1, 2020

In the article, authors analyze behavioral practices and consumer strategies of digital resistance. They aim to identify ways minimize adverse effect digitalization. The general framework for this study resistance is diffusion innovations theory, which explains digitalization as an inevitable process that flows simultaneously with antagonistic innovation. research based on materials a preliminary in-depth interview about level article proposes original methodology measuring readiness adopt innovations. It also shows results its testing small quota sample. tool test potential consumer’s willingness industry-specific digital.

Language: Английский

Citations

0