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Citation-based analysis of literature: a case study of technology acceptance research

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Abstract

Individual adoption of technology is crucial for the success of technology implementation and has thus attracted much attention from researchers. Recent advances in citation-based analysis have been suggested as being efficient for analyzing knowledge dissemination within scientific disciplines. This article presents a case that examines the technology acceptance research through the newly developed citation-based approach, in particular main path analysis and edge-betweenness clustering analysis. Based on the citation network constructed from a total of 1555 journal articles from the period 1989 to 2014, the most critical 50 citations were identified and used as the basis to map the major knowledge flow in technology acceptance research. In addition, edge-betweenness based clustering was used to classify the citation network into coherent groups. As a result, five distinct research fronts were identified, namely e-learning, mobile-commerce, e-health, e-tourism, and technology post-acceptance research. This case study highlights the theoretical development trajectories, and identifies the most active research fronts of technology acceptance research, providing a research-based platform for further scholarly discussions.

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Notes

  1. The articles that proposed the method are widely cited. As of March 17, 2015, Girvan and Newman (2002) and Newman and Girvan (2004) had been cited 6671 and 6078 times respectively in Google Scholar.

  2. The work of Teo2010a was accepted on May 20, 2008 and published in 2010. The follow-up study of Teo2009a cited the paper (Teo2010a) in its accepted year of 2008. Therefore, the direction of the arrow on the main path (Fig. 1) is from Teo2010a to Teo2009a. This citation delay exists because of the overlapping publication time.

  3. Stop Words are words which do not have significance for use in Search Queries. They are either insignificant (i.e., articles, prepositions) or too common to be of use.

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Authors and Affiliations

  1. Department of Marketing, Kainan University, No. 1 Kainan Road, Luchu, Taoyuan County, 33857, Taiwan

    Chun-Hua Hsiao

  2. Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 10607, Taiwan

    Kai-Yu Tang

  3. Graduate Institute of Technology Management, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 10607, Taiwan

    John S. Liu

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  1. Chun-Hua Hsiao
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Hsiao, CH., Tang, KY. & Liu, J.S. Citation-based analysis of literature: a case study of technology acceptance research. Scientometrics 105, 1091–1110 (2015). https://doi.org/10.1007/s11192-015-1749-5

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