desire to use ODAM . Moreover , the tradition was found to have a positive influence on technology anxiety , on the other hand , it turned out to have a negative impact on the desire to use ODAM . Taken together , the study revealed that individual cultural values characteristic or attribute , specifically , independence and traditions , play an important role in the debate on the future use of ODAM , through the psychological influences of personal innovativeness , technology anxiety , and desire .
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Original artcicle reference
We call upon researchers to re-examine the proposed model using older generations , typically baby boomers and Gen X age groups , in different parts of the world . Given that the proposed research model explains only 45.2 % variance in future use intention of ODAM , we further accept that the model only provides a partial understanding of the factors associated with ODAM acceptability . In this context , there is a need , therefore , for future research to expand on the existing model through the consideration of additional psychological or sociocultural factors that may explain ODAM acceptability . So , this leads us to acknowledge that the current work may not be theoretically sufficient to explain the future use intention of ODAM , especially in different consumer and territorial contexts ( cross-country ). Therefore , it would be convenient to extend the model to other countries to establish a cross-cultural comparison .
Kwarteng MA , Ntsiful A , Osakwe CN , Jibril AB , Chovancova M . Cultural influences on future transportation technology usage : The role of personal innovativeness , technology anxiety and desire . International Journal of Consumer Studies ( 2023 ) 47 , 629-651 . https :// doi . org / 10.1111 / ijcs . 12854
Authors biographies
Michael Adu Kwarteng is an Associate Professor in the Department of Management and Marketing , Tomas Bata University in Zlin , Czech Republic . His research focuses on internet marketing applications , social media analytics , enterprise competitive analyses and preference modelling . He is particularly interested in deploying data mining techniques in extracting and generating new information to improve business decision making , especially for marketers .