Mapping the Landscape of Technology Attributes Research: A Bibliometric Analysis of SSCI Metadata
Pages 171 - 177
Abstract
In the era of big data, technology iteration is accelerating and technology complexity is increasing. In this context, firms could not keep up with the pace of technological progress only by internal research and development. Thus, external technology acquisition has become a powerful source to enhance their technology capabilities. As the primary considerations of external technology acquisition, technology attributes are mostly investigated in the existing literature, which is scattered in the related research, lacking systematicness and not forming a complete analysis framework. Therefore this paper aims to map the landscape of technology attributes and present a systematic framework, so as to provide a theoretical reference for newcomers in this field and help them understand it comprehensively and quickly. SSCI metadata was analyzed based on the bibliometrics method. Results show that: (1) technology attributes research is in the stage of explosive growth with an average annual growth rate of 8.21%; (2) USA and China have a deep collaboration in this field; (3) the themes in this field contain determinants, performance, innovation, perceptions, information-technology, user acceptance, etc., which could be incorporated in a cognitive-temporal-spatial dimensional framework.
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September 2021
189 pages
ISBN:9781450385091
DOI:10.1145/3490322
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Published: 27 December 2021
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- the Scientific Research Foundation of Xihua University
- the Research Center of Scientific Finance and Entrepreneurial Finance of Ministry of Education of Sichuan Province
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ICBDT 2021
ICBDT 2021: 2021 4th International Conference on Big Data Technologies
September 24 - 26, 2021
Zibo, China
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