Understanding the determinants of novel technology adoption among teachers: the case of 3D printing

Patrick Holzmann (), Erich J. Schwarz and David B. Audretsch
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Patrick Holzmann: Alpen-Adria University Klagenfurt
Erich J. Schwarz: Alpen-Adria University Klagenfurt
David B. Audretsch: Indiana University

The Journal of Technology Transfer, 2020, vol. 45, issue 1, No 11, 259-275

Abstract: Abstract 3D printing consists of novel technologies that raised high expectations about their future impact on economy and society. However, despite major efforts of manufacturers and governments to promote the technology, the adoption rate is still low. Among others, the absence of appropriate technology education is considered a major hurdle for adoption. The main goal of this paper is to investigate the behavioral intention of high school teachers to use these novel technologies in class. We propose applying the unified theory of acceptance and use of technology by integrating anxiety and attitude toward using technology. Data from 103 high school teachers is utilized to empirically validate the conceptual model. The results show that performance expectancy, facilitating conditions, anxiety, and attitude toward using technology significantly affect the adoption of novel technology. Contrary to expectations, effort expectancy and social influence do not affect the behavioral intention. Thus, the study adds to prior knowledge by underlining the need for further investigation of the relevance of anxiety and attitude toward using a novel technology in individual adoption processes.

Keywords: Technology adoption; Technology acceptance; Novel technology; Behavioral intention; UTAUT; 3D printing (search for similar items in EconPapers)
JEL-codes: C12 I20 M10 M13 O30 O33 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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DOI: 10.1007/s10961-018-9693-1

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