Perception of New Technologies: Constructing an Innovation Openness Index
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Keywords

innovation
technological progress
Technology Acceptance Model
perception of innovation
openness to innovation
multidimensional index

How to Cite

PishnyakA., & KhalinaN. (2021). Perception of New Technologies: Constructing an Innovation Openness Index. Foresight and STI Governance, 15(1), 39-54. https://doi.org/10.17323/2500-2597.2021.1.39.54

Abstract

Rapid technological progress is one of the basic processes in the modern world. It is an integral part both in the field of labor and employment and in leisure and recreation. The request for an accelerated implementation of digital technologies in the economy and social sphere, which is inherent in one of the national development goals of the Russian Federation, makes this topic more important. In the presence of technological challenges, people have to adapt to constantly emerging innovations. Meanwhile the perception of innovations together with other individual characteristics and socioeconomic characteristics of different social groups could be considered determinants of openness to technological innovations. Based on this assumption, the authors of this article set the following objectives: they evaluate the openness of the population to innovation (through the construction of the index), examine the perception of innovation (by identifying factors of the perception of new technologies), and test the relationship between openness to innovation and the perception of new technologies. The multi-domain index of openness to innovation combines assessments of individual attitude, acceptance, and trust in innovations related to various spheres of the population’s life. The perception of innovation is revealed through the Technology Acceptance Model and includes: perceived ease of use of new technologies; the perceived usefulness of new technologies; perceived security and reliability of new technologies; and perceived elitist features of new technologies. This study demonstrates that openness to innovation depends upon the perception of new technologies and is differentiated among population groups.

https://doi.org/10.17323/2500-2597.2021.1.39.54
PDF Рус (Русский)
PDF

References

Ajzen I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Ansong E., Boateng R. (2019) Surviving in the digital era - Business models of digital enterprises in a developing economy. Digital Policy, Regulation and Governance, 21(2), 164-178. DOI: https://doi.org/10.1108/DPRG-08-2018-0046

Cooke M., Watkins N., Moy C. (2008) A Hybrid Online and Offline Approach to Market Measurement Studies. International Journal of Market Research, 51(1), 29-48. https://doi.org/10.1177%2F147078530905100101.

Cornell University, INSEAD, WIPO (2020). The Global Innovation Index 2020: Who Will Finance Innovation?, Ithaca, Fontainebleau, and Geneva. Cornell University, INSEAD, WIPO. https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2020.pdf, дата обращения 27.01.2021.

Davis F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. DOI: https://doi.org/10.2307/249008

Decancq K., Lugo M.A. (2013) Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7-34. DOI: https://doi.org/10.1080/07474938.2012.690641

Drucker P. (1985) Innovation and Entrepreneurship, New York: Harper & Row.

European Commission (2014) Special Eurobarometer 419. Wave EB81.5. TNS Opinion & Social, Brussels: European Commission. https://ec.europa.eu/commfrontoffice/publicopinion/archives/ebs/ebs_419_en.pdf, дата обращения 27.01.2021.

Fishbein M., Ajzen I. (1975) Belief, Attitudes, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addision-Wasely.

Gault F., von Hippel E. (2009) The prevalence of user innovation and free innovation transfers: Implications for statistical indicators and innovation policy, Cambridge, MA: MIT Sloan School of Management.

Gefen D., Karahanna E., Straub D.W. (2003) Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. DOI: https://doi.org/10.2307/30036519

Grinin L., Korotayev A. (2015) Great Divergence and Great Convergence. A Global Perspective, Heidelberg, New York, Dordrecht, London: Springer.

Hallerod B. (1994) A new approach to the direct consensual measurement of poverty (Social Policy Research Centre Discussion Papers, 50), Sydney: University of New South Wales.

Hoffman D., Novak P., Peralta M. (1999) Building consumer trust online. Communications of ACM, 42(4), 80-85. DOI: https://doi.org/10.1145/299157.299175

Hofstede G. (1984) Culture's Consequences: International Differences in Work-Related Values (2nd ed.), Beverly Hills, CA: SAGE Publications.

Im I., Hong S., Kang M.S. (2011) An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48(1), 1-8. DOI: https://doi.org/10.1016/j.im.2010.09.001

Jacobs R., Smith P., Goddard M. (2004) Measuring performance: An examination of composite performance indicators (Centre for Health Economics (CHE) Technical Paper 29). York (UK): University of York.

Negrea A., Ciobanu G., Dobrea C., Burcea S. (2019) Priority aspects in the evolution of the digital economy for building new development policies. Calitatea, 20(S2), 416-421.

Nepelski D. (2019) How to facilitate digital innovation in Europe. Intereconomics, 54(1), 47-52. DOI: https://doi.org/10.1007/s10272-019-0791-6

OECD, Eurostat (2018) Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. The Measurement of Scientific, Technological and Innovation Activities (4th ed.), Paris: Eurostat, OECD Publishing. DOI: https://doi.org/10.1787/9789264304604-en

Popova D., Pishnyak A. (2017) Measuring individual material well-being using multidimensional indices: An application using the Gender and Generation Survey for Russia. Social Indicators Research, 130(3), 883-910. DOI: https://doi.org/10.1007/s11205-016-1231-7

Rogers E.M. (2003) Diffusion of Innovations (5th ed.), New York: Free Press.

Santo B. (1994) Innovation in Crisis: Hungary before and after the Watershed of 1989. Technovation, 14(9), 601-611. DOI: https://doi.org/10.1016/0166-4972(94)90042-6

Schumpeter J.A. (1934) The theory of economic development, Oxford: Galaxy Books.

Straub D., Mark K., Brenner W. (1997) Testing the technology acceptance model across cultures: A three country study. Information and Management, 33(1), 1-11. DOI: https://doi.org/10.1016/S0378-7206(97)00026-8

Swan J., Newell S., Scarbrough H., Hislop D. (1999) Knowledge management and innovation: Networks and networking. Journal of Knowledge Management, 3(4), 262-275. DOI: https://doi.org/10.1108/13673279910304014

Taber K.S. (2018) The Use of Cronbach's Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1273-1296. DOI: https://doi.org/10.1007/s11165-016-9602-2

Venkatesh V., Davis F.D. (2000) A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. DOI: https://doi.org/10.1287/mnsc.46.2.186.11926

Venkatesh V., Morris M., Davis G., Davis F. (2003) User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. DOI: https://doi.org/10.2307/30036540

Wegner G. (2019) Entrepreneurship in autocratic regimes - How neo-patrimonialism constrains innovation. Journal of Evolutionary Economics, 29, 1507-1529. DOI: https://doi.org/10.1007/s00191-019-00617-y

Willitts M. (2006) Measuring child poverty using material deprivation: Possible approaches (Working Paper 28), Norwich (UK): Department for Work and Pensions. https://dera.ioe.ac.uk/6157/1/WP28.pdf, дата обращения 14.11.2020.

Бобылев С.Н, Григорьев Л.М. (ред.) (2018) Человек и инновации: доклад о человеческом развитии в Российской Федерации за 2018 год, М.: Аналитический центр при Правительстве Российской Федерации. http://ecoline.ru/wp-content/uploads/people-and-innovation-2018-report.pdf, дата обращения 27.01.2021.

Войнилов Ю.Л., Полякова В.В. (2016) Мое тело - моя крепость: общественное мнение о биомедицинских технологиях. Социология власти, 28(1), 185-207.

Полтерович В.М. (2009) Проблема формирования национальной инновационной системы. Экономика и математические методы, 45(2), 3-18.

Шувалова О.Р. (2007) Образ науки: восприятие населением результатов научной деятельности. Форсайт, 1(2), 50-59.

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