Demonstrating the nexus effects of online videos, research outputs, and investments to knowledge absorption using linguistically adapted animations
DOI:
https://doi.org/10.14738/aivp.92.10025Abstract
Given how educational videos on social media platforms like YouTube are changing how information and knowledge are delivered and accessed, understanding, and capitalizing on this innovation could potentially enable increasing knowledge absorption in populations able to access that information. This study sought to estimate that increase by applying logistic regression to model data and demonstrate the relationship of one YouTube educational channel—Scientific Animations Without Borders (SAWBO)—and Global Innovation Index 2019 for 79 developing and developing countries from 2011-2018. Results indicated that knowledge absorption was 7.69 and 1.85 times more likely to occur (1) with gross expenditures on research and development (GERD) and (2) the interaction (INNOV) between video views, ICT access, and science/technology publications, respectively. Importantly, qualities of governance indicators did not correlate significantly with tested variables in the model, a suggestion that GERD and INNOV maintain their increased odds of increased knowledge absorption, especially in developing countries and populations where governmentality is being impacted, e.g., by corruption, political instability, global pandemic like COVID-19, or simply national shortfalls of resources and/or infrastructure. Thus, INNOV represents a comparatively lower-cost pathway to promoting and achieving knowledge absorption, especially in many developing nations where GERD may be beyond their current financial means. Implications for research managers and policymakers—as well as recommendations for future research on linguistically adapted animations and educational online videos for increasing knowledge absorption, sharing, and content use—are also provided.
References
Platt, E. L., Bhargava, R. and Zuckerman, E. (2015) ‘The International Affiliation Network of YouTube Trends’, p. 9.
Migiro, G (2018) Which Countries Watch the Most YouTube?, WorldAtlas. Available at: https://www.worldatlas.com/articles/which-countries-watch-the-most-youtube.html (Accessed: 14 October 2020).
Moghavvemi, S. et al. (2018) ‘Social media as a complementary learning tool for teaching and learning: The case of youtube’, The International Journal of Management Education, 16(1), pp. 37–42. doi: 10.1016/j.ijme.2017.12.001.
Park, M., Naaman, M. and Berger, J. (2017) ‘A Data-driven Study of View Duration on YouTube’, arXiv:1603.08308 [cs]. Available at: http://arxiv.org/abs/1603.08308 (Accessed: 14 October 2020).
Temple, M. (2019) ‘YouTube’s Top 25 Countries Ranked by Total Viewership & Subscribers’, ChannelMeter, 1 March. Available at: https://channelmeter.wordpress.com/2019/03/01/youtubes-top-countries/ (Accessed: 14 October 2020).
Leask, M., Pachler, N. and Pachler, N. (2013) Learning to Teach Using ICT in the Secondary School : A companion to school experience. Routledge. doi: 10.4324/9780203124208.
Almobarraz, A. (2018) ‘Utilization of YouTube as an information resource to support university courses’, The Electronic Library, 36(1), pp. 71–81. doi: 10.1108/EL-04-2016-0087.
Guzmán, A. P. and de Oviedo, U. (2014) ‘Tendencias de uso de YouTube: optimizando la comunicación estratégica de las universidades iberoamericanas’, p. 26.
Tenopir, C., Volentine, R. and King, D. W. (2013) ‘Social media and scholarly reading’, Online Information Review, 37(2), pp. 193–216. doi: 10.1108/OIR-04-2012-0062.
Nández, G. and Borrego, Á. (2013) ‘Use of social networks for academic purposes: a case study’, The Electronic Library, 31(6), pp. 781–791. doi: 10.1108/EL-03-2012-0031.
Kirkpatrick, M. (2012) ‘How YouTube is Part of a Global Economic Transformation’, ReadWrite. Available at:https://readwrite.com/2012/02/01/how_youtube_is_part_of_a_global_economic_transform/ (Accessed: 14 October 2020).
Qureshi, S. (2015) ‘Are we making a Better World with Information and Communication Technology for Development (ICT4D) Research? Findings from the Field and Theory Building’, Information Technology for Development, 21(4), pp. 511–522. doi: 10.1080/02681102.2015.1080428.
Olasina, G. (2017) ‘An evaluation of educational values of YouTube videos for academic writing’, 9(4), p. 31.
United Nations Conference on Trade and Development (2019) Digital economy report 2019: value creation and capture : implications for developing countries. New York; Geneva: United Nations.
Goff, E. E. et al. (2017) ‘Efficacy of a Meiosis Learning Module Developed for the Virtual Cell Animation Collection’, CBE Life Sciences Education, 16(1). doi: 10.1187/cbe.16-03-0141.
Mayer, R. E. and Moreno, R. (2003) ‘Nine Ways to Reduce Cognitive Load in Multimedia Learning’, Educational Psychologist, 38(1), pp. 43–52. doi: 10.1207/S15326985EP3801_6.
Kozma, R. B. (1994) ‘The influence of media on learning: The debate continues’, p. 13.
Ljubojevic, M. et al. (2014) ‘Using supplementary video in multimedia instruction as a teaching tool to increase efficiency of learning and quality of experience’, The International Review of Research in Open and Distributed Learning, 15(3). doi: 10.19173/irrodl.v15i3.1825.
Mthembu, S. and Roodt, S. (2017) ‘Engaging the Net Generation via YouTube: An Academic approach for undergraduate teaching’, in 2017 1st International Conference on Next Generation Computing Applications (NextComp). 2017 1st International Conference on Next Generation Computing Applications (NextComp), pp. 81–91. doi: 10.1109/NEXTCOMP.2017.8016180.
Cunningham, S. and Craig, D. (2017) ‘Being “really real” on YouTube: authenticity, community and brand culture in social media entertainment:’, Media International Australia. doi: 10.1177/1329878X17709098.
Dubovi, I. and Tabak, I. (2019) ‘Examining the Educative Value of Person-to-person Knowledge Sharing on Social Media: The Case of YouTube as a Site of CSCL?’ Available at: https://repository.isls.org//handle/1/4464 (Accessed: 14 October 2020).
Aggrawal, N. and Arora, A. (2019) ‘Behaviour of viewers: YouTube videos viewership analysis’, International Journal of Business Innovation and Research, 20(1), pp. 106–128. doi: 10.1504/IJBIR.2019.101692.
Bärtl, M. (2018) ‘YouTube channels, uploads and views: A statistical analysis of the past 10 years’, Convergence, 24(1), pp. 16–32. doi: 10.1177/1354856517736979.
Madden, A., Ruthven, I. and McMenemy, D. (2013) ‘A classification scheme for content analyses of YouTube video comments’, Journal of Documentation, 69(5), pp. 693–714. doi: 10.1108/JD-06-2012-0078.
Saurabh, S. and Gautam, S. (2019) ‘Modelling and statistical analysis of YouTube’s educational videos: A channel Owner’s perspective’, Computers & Education, 128, pp. 145–158. doi: 10.1016/j.compedu.2018.09.003.
UniRank (2020) ‘UniRank Publishes Youtube Rankings – IREG Observatory’. Available at: https://ireg-observatory.org/en/ranking-news/unirank-publishes-youtube-rankings/(Accessed: 5 October 2020).
Asio, S. and Torabzadeh Khorasani, S. (2015) Social Media: A Platform for Innovation.
Guo, J. Z., Chong, K. P. L. and Woo, B. K. P. (2020) ‘Utilizing YouTube as platform for psychiatric emergency patient outreach in Chinese Americans’, Asian Journal of Psychiatry, 50, p. 101960. doi: 10.1016/j.ajp.2020.101960.
Glucksman, M. (2017) ‘The Rise of Social Media Influencer Marketing on Lifestyle Branding: A Case Study of Lucie Fink’, Elon Journal of Undergraduate Research in Communications, 8(2), p.
Tang, Z. et al. (2015) ‘Examining the role of social media in California’s drought risk management in 2014’, Natural Hazards, 79(1), pp. 171–193. doi: 10.1007/s11069-015-1835-
Zin, T. T. et al. (2014) ‘New information search system in social networks application to disaster event analysis’, in, pp. 411–419. doi: 10.1201/b16763-45.
Laguna, L. et al. (2020) ‘The impact of COVID-19 lockdown on food priorities. Results from a preliminary study using social media and an online survey with Spanish consumers’, Food Quality and Preference, 86, p. 104028. doi: 10.1016/j.foodqual.2020.104028.
Szmuda, T. et al. (2020) ‘YouTube as a source of patient information for Coronavirus Disease (COVID-19): A content-quality and audience engagement analysis’, Reviews in Medical Virology, 30(5). doi: 10.1002/rmv.2132.
Khatri, P. et al. (2020) ‘Corrigendum to <’ YouTube as a source of information on COVID-19 outbreak: A cross-sectional study of English and Mandarin content’>’, Travel Medicine and Infectious Disease, 36, p. 101821. doi: 10.1016/j.tmaid.2020.101821.
United Nations (2011) Economic Report on Africa 2011: Governing Development in Africa -The Role of the State in Economic Transformation. UN (Economic Report on Africa). doi: 10.18356/9c747126-en.
Matthes, J. et al. (2020) ‘“Too much to handle”: Impact of mobile social networking sites on information overload, depressive symptoms, and well-being’, Computers in Human Behavior, 105, p. 106217. doi: 10.1016/j.chb.2019.106217.
Jiang, H., Luo, Y. and Kulemeka, O. (2017) ‘Strategic Social Media Use in Public Relations: Professionals’ Perceived Social Media Impact, Leadership Behaviors, and Work-Life Conflict’, International Journal of Strategic Communication, 11(1), pp. 18–41. doi: 10.1080/1553118X.2016.1226842.
Karakara, A. A. and Osabuohien, E. S. (2019) ‘Households’ ICT access and bank patronage in West Africa: Empirical insights from Burkina Faso and Ghana’, Technology in Society, 56, pp. 116–125. doi: 10.1016/j.techsoc.2018.09.010.
Ejemeyovwi, J. O. et al. (2019) ‘Internet usage, innovation and human development nexus in Africa: the case of ECOWAS’, Journal of Economic Structures, 8(1), p. 15. doi: 10.1186/s40008-019-0146-2.
Niebel, T. (2018) ‘ICT and economic growth – Comparing developing, emerging and developed countries’, World Development, 104, pp. 197–211. doi: 10.1016/j.worlddev.2017.11.024.
Chavula, H. (2014) ‘The role of ICTs in agricultural production in Africa’, Journal of Development and Agricultural Economics, 6, pp. 279–289. doi: 10.5897/JDAE2013.0517.
Pew Research Center, P. R. C. (2019) ‘Digital Divide’, Pew Research Center. Available at: https://www.pewresearch.org/topics/digital-divide/ (Accessed: 14 October 2020).
Acilar, A. (2011) ‘Exploring the Aspects of Digital Divide in a Developing Country’, Issues in Informing Science and Information Technology, 8, pp. 231–244. doi: 10.28945/1415.
Bello-Bravo, J. and Lutomia, A. N. (2019) Changing Formal and Informal Learning Practices Using Smartphones: The Case of Market Women of Ghana, Multicultural Andragogy for Transformative Learning. IGI Global. doi: 10.4018/978-1-5225-3474-7.ch010.
Kiramba, L. K. (2018) ‘Language ideologies and epistemic exclusion’, Language and Education, 32(4), pp. 291–312. doi: 10.1080/09500782.2018.1438469.
Álvarez, R. (2016) The Impact of R&D and ICT Investment on Innovation and Productivity in Chilean Firms, Working Papers. wp428. University of Chile, Department of Economics. Available at: https://ideas.repec.org/p/udc/wpaper/wp428.html (Accessed: 5 October 2020).
Martin, L. and Nguyen-Thi, T. U. (2015) ‘The Relationship between Innovation and Productivity Based on R&D and ICT Use. An Empirical Analysis of Firms in Luxembourg.’, Revue Economique, 66, pp. 1105–1130.
Nair, M., Pradhan, R. P. and Arvin, M. B. (2020) ‘Endogenous dynamics between R&D, ICT and economic growth: Empirical evidence from the OECD countries’, Technology in Society, 62, p. 101315. doi: 10.1016/j.techsoc.2020.101315.
Christensen, M. A. (2015) A CGE model with ICT and R&D-driven endogenous growth: A detailed model description, JRC Working Papers. JRC97908. Joint Research Centre (Seville site). Available at: https://ideas.repec.org/p/ipt/iptwpa/jrc97908.html (Accessed: 5 October 2020).
Aghion, P., Akcigit, U. and Howitt, P. (2014) ‘What Do We Learn From Schumpeterian Growth Theory?’, in Handbook of economic growth. London, UK: Elsevier, pp. 515–563.
Bazhal, I. (2016) ‘The Theory of Economic Development of J.A. Schumpeter: Key Features’, p.
Andrés, A. R., Amavilah, V. and Asongu, S. (2017) ‘Linkages Between Formal Institutions, ICT Adoption, and Inclusive Human Development in Sub-Saharan Africa’, in Kaur, H., Lechman, E., and Marszk, A. (eds) Catalyzing Development through ICT Adoption: The Developing World Experience. Cham: Springer International Publishing, pp. 175–203. doi: 10.1007/978-3-319-56523-1_10.
Oluwatobi, S. et al. (2016) ‘Human Capital, Institutions and Innovation in Sub-Saharan Africa’, Human Capital, 6(4), p. 8.
Brix, J. (2014) ‘Improving individual knowledge construction and re-construction in the context of radical innovation’, International Journal of Innovation and Learning. Available at: https://www.inderscienceonline.com/doi/abs/10.1504/IJIL.2014.059760 (Accessed: 14 October 2020).
Bouabid, H., Paul-Hus, A. and Larivière, V. (2016) ‘Scientific collaboration and high-technology exchanges among BRICS and G-7 countries’, Scientometrics, 106(3), pp. 873–899. doi: 10.1007/s11192-015-1806-0.
Alam, A., Uddin, M. and Yazdifar, H. (2019) ‘Institutional determinants of R&D investment: Evidence from emerging markets’, Technological Forecasting and Social Change, 138, pp. 34–44. doi: 10.1016/j.techfore.2018.08.007.
Raghupathi, W. and Wu, S. J. (2011) ‘The Relationship Between Information and Communication Technologies and Country Governance: An Exploratory Study’, Communications of the Association for Information Systems, 28. doi: 10.17705/1CAIS.02812.
Rosenbloom, J. L. et al. (2015) ‘The Effects of Research & Development Funding on Scientific Productivity: Academic Chemistry, 1990-2009’, PLOS ONE. Edited by L. A. N. Amaral, 10(9), p. e0138176. doi: 10.1371/journal.pone.0138176.
Bodman, P. and Le, T. (2013) ‘Assessing the roles that absorptive capacity and economic distance play in the foreign direct investment-productivity growth nexus’, Applied Economics, 45(8), pp. 1027–1039. doi: 10.1080/00036846.2011.613789.
Ejemeyovwi, J. O., Osabuohien, E. S. and Osabohien, R. (2018) ‘ICT investments, human capital development and institutions in ECOWAS’, International Journal of Economics and Business Research, 15(4), p. 463. doi: 10.1504/IJEBR.2018.092151.
Bello-Bravo, J., Olana, G. W. and Pittendrigh, B. R. (2015) ‘A Pilot Study Using Educational Animations as a Way to Improve Farmers’ Agricultural Practices and Health Around Adama, Ethiopia’, Information Technologies & International Development, 11(3), pp. 23–37.
Bello-Bravo, J. et al. (2018) ‘An assessment of learning gains from educational animated videos versus traditional extension presentations among farmers in Benin’, Information Technology for Development, 24(2), pp. 224–244. doi: 10.1080/02681102.2017.1298077.
Benini, R. (2016) ‘Some key policy issues related to technology change, knowledge and absorption capacities in a country comparison perspective’, Economic Change and Restructuring, 49(2), pp. 95–112. doi: 10.1007/s10644-016-9189-7.
Percia David, D., Keupp, M. M. and Mermoud, A. (2020) ‘Knowledge absorption for cybersecurity: The role of human beliefs’, Computers in Human Behavior, 106, p. 106255. doi: 10.1016/j.chb.2020.106255.
Cohen, W. M. and Levinthal, D. A. (2020) ‘Absorptive Capacity: A New Perspective on Learning and Innovation’, p. 26.
Liu, Q. and Deng, L. (2017) ‘A genre-based study of shell-noun use in the N-be-that construction in popular and professional science articles’, English for Specific Purposes, 48, pp. 32–43. doi: 10.1016/j.esp.2016.11.002.
Stern, D. (2013) ‘The Future of Peer-Reviewed Scientific Video Journals’, p. 8.
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