2,220
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Contemporary HIV/AIDS research: Insights from knowledge management theory

References

  • Adams, J. D., Black, G. C., Clemmons, J. R., & Stephan, P. E. (2004). Scientific teams and institutional collaborations: Evidence from U.S. Universities, 1981–1999 (Working Paper 10640). National Bureau of Economic Research. Retrieved from http://core.ac.uk/download/pdf/6690919.pdf
  • Ash, C. (1996). Antibiotic resistance: The new apocalypse? Trends in Microbiology, 4(10), 371–372.
  • Audretsch, D. B., & Stephan, P. E. (1996). Company-scientist locational links: The case of biotechnology. The American Economic Review, 86(3), 641–652.
  • Bornmann, L. (2010). Does the journal peer review select the ‘best’ from the work submitted? The state of empirical research. IETE Technical Review, 27(2), 93–96.
  • Bornmann, L. (2011). Scientific peer review. Annual Review of Information Science and Technology, 45(1), 197–245.
  • Burman, C. J., Aphane, M., & Delobelle, P. (2016). Weak signal detection: A discrete window of opportunity for achieving ‘vision 90:90:90’? SAHARA-J: Journal of Social Aspects of HIV/AIDS, 13(1), 17–34.
  • Bushman, F. F., Hoffmann, C., Ronen, K., Malani, N., Minkah, N., Rose, H. M., … Wang, G. P. (2008). Massively parallel pyrosequencing in HIV research. AIDS, 22(12), 1411–1415.
  • Callaghan, C. W. (2014a). Crowdfunding to generate crowdsourced R&D: The alternative paradigm of societal problem solving offered by second generation innovation and R&D. The International Business & Economics Research Journal, 13(6), 1499–1514.
  • Callaghan, C. W. (2014b). Solving Ebola, HIV, antibiotic resistance and other challenges: The new paradigm of probabilistic innovation. American Journal of Health Sciences, 5(2), 165–178.
  • Callaghan, C. W. (2015). Crowdsourced ‘R&D’ and medical research. British Medical Bulletin, 115(1), 67–76.
  • Callaghan, C. W. (2016). Disaster management, crowdsourced R&D and probabilistic innovation theory: Toward real time disaster response capability. International Journal of Disaster Risk Reduction, 17, 238–250.
  • Campanario, J. M. (2009). Rejecting and resisting nobel class discoveries: Accounts by nobel laureates. Scientometrics, 81(2), 549–565.
  • De Groot, A. S., Jesdale, B. M., Szu, E., Schafer, J. R., Chicz, R. M., & Deocampo, G. (2009). An interactive web site providing major histocompatibility ligand predictions: Application to HIV research. AIDS Research and Human Retroviruses, 13(7), 529–531.
  • De Long, J. B., & Lang, K. (1992). Are all economic hypotheses false? Journal of Political Economy, 100(6), 1257–1272. Retrieved from http://www.jstor.org/stable/2138833
  • Dewald, W. G., Thursby, J. G., & Anderson, R. G. (1986). Replication in empirical economics: The journal of money, credit and banking project. American Economic Review, 76(4), 587–603.
  • Ding, W. W., Levin, S. G., Stephan, P. E., & Winkler, A. E. (2010). The impact of information technology on academic scientist’s productivity and collaboration patterns. Management Science, 56(9), 1439–1461.
  • Ekins, S., & Williams, A. J. (2010). Reaching out to collaborators: Crowdsourcing for pharmaceutical research. Pharmaceutical Research, 27(3), 393–395.
  • Engelbart, D. C. (1962). Augmenting human intellect: A conceptual framework (Technical Report Summary Report AFOSR-3233; SRI Project No. 3578). Stanford Research Institute. Retrieved from http://www.1962paper.org/web.html
  • Feinberg, M., & Willer, R. (2011). Apocalypse soon? Dire messages reduce belief in global warming by contradicting just beliefs. Psychological Science, 22(1), 34–38.
  • Forrester, J. W. (1971). Counterintuitive behaviour of social systems. Theory and Decision, 2(2), 109–140.
  • Friedman, S. R., Kippax, S., Phaswana-Mafuya, N., Rossi, D., & Newman, C. (2006). Emerging future issues in HIV/AIDS social research. AIDS, 20(7), 959–965.
  • Gallagher, J. (2015). Analysis: Antibiotic apocalypse. Retrieved from http://www.bbc.com/news/health-21702647
  • Garcia-Merino, I., de las Cuevas, N., Jimenez, J. L., Gallego, J., Gomez, C., Prieto, C., … Spanish HIV BioBank. (2009). The Spanish HIV BioBank: A model of cooperative HIV research. Retrovirology, 6(1), 1–5.
  • Gilbert, L. (2016). ‘The mercurial piece of the puzzle’: Understanding stigma and HIV/AIDS in South Africa. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 13(1), 8–16.
  • Hayden, E. C. (2014). Technology: The $1,000 genome. Nature, 507, 294–295.
  • Hayek, F. A. (1945). The use of knowledge in society. American Economic Review, 35(4), 519–530.
  • Henrion, M., & Fischhoff, B. (1986). Assessing uncertainty in physical constants. American Journal of Physics, 54(791), 791–798.
  • Herman, J. (2016). Gene therapy and genome editing strategies for HIV resistance. Science Spotlight, 6(4), 1–3.
  • InnoCentive. (2016). Innovate with InnoCentive. Retrieved from https://www.innocentive.com/
  • Kittur, A., Chi, E., Pendleton, B., Suh, B., & Mytkowicz, T. (2007). Power of the few versus wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. Retrieved from https://www.researchgate.net/publication/200772541_Power_of_the_Few_vs_Wisdom_of_the_Crowd_Wikipedia_and_the_Rise_of_the_Bourgeoisie
  • Koto, M. V., & Maharaj, P. (2016). Difficulties facing healthcare workers in the era of AIDS treatment in Lesotho. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 13(1), 53–59.
  • Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.
  • Lakatos, I. (1970). Falsification and the methodology of scientific research programmes. In I. Lakatos & A. Musgrave (Eds.), Criticism and the growth of knowledge. Cambridge: Cambridge University Press. Retrieved from www.csun.edu/~vcsoc00i/classes/s497f09/s690s08/Lakatos.pdf
  • Leape, L. L., Bates, D. W., Cullen, D. J., Cooper, J., & Demonaco, H. J. (1995). Systems analysis of adverse drug events. JAMA: The Journal of the American Medical Association, 274(1), 35–43.
  • Mahoney, M. J. (1977). Publication prejudices: An experimental study of confirmatory bias in the peer review system. Cognitive Therapy and Research, 1(2), 161–175.
  • Malone, T. W., & Klein, M. (2007). Harnessing collective intelligence to address global change. Innovations: Technology, Governance, Globalization, 2(3), 15–26.
  • Malone, T. W., Laubacher, R., & Johns, T. (2011). The big idea: The age of hyperspecialization. Harvard Business Review, 89(7/8), 56–65.
  • Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The new frontier for innovation, competition, and productivity. McKinsey Global Institute. Retrieved from http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
  • Munoz, J. C., & Daganzo, C. F. (2002). The bottleneck mechanism of a freeway diverge. Transportation Research Part A: Policy and Practice, 36(6), 483–505.
  • Nagel, K. (1994). Life time of simulated traffic jams. International Journal of Modern Physics C, 5(3), 567–580.
  • Ngidi, N. D., Moyo, S., Zulu, T., Adam, J. K., & Krishna, S. B. N. (2016). Qualitative evaluation of selected social factors that impact sexual risk-taking behaviour among African students in Kwazulu-Natal, South Africa. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 13(1), 96–105.
  • Niederer, S., & van Dijck, J. (2010). Wisdom of the crowd or technicity of content? Wikipedia as a sociotechnical system. New Media Society, 12(8), 1368–1387.
  • Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37.
  • Peters, D., & Ceci, S. J. (1982). Peer-review practices of psychological journals: The fate of published articles, submitted again. Behavioral and Brain Sciences, 5(2), 187–195.
  • Pisano, G. P., & Verganti, R. (2008). Which kind of collaboration is right for you? Harvard Business Review, 86(12), 78–86.
  • Polanyi, M. (1973). Personal knowledge: Toward a post-critical philosophy. London: Routledge & Kegan.
  • Popper, K. R. (1972). Objective knowledge. An evolutionary approach. London: Oxford University Press.
  • Senge, P. M., & Sterman, J. D. (1992). Systems thinking and organizational learning: Acting locally and thinking globally in the organisation of the future. European Journal of Operational Research, 59(1), 137–150.
  • Shum, S. B., Aberer, K. S. A., Bishop, S., Lukowicz, P., Anderson, S., Charalabidis, Y., … Helbing, D. (2012). Towards a global participatory platform. Democratising open data, complexity science and collective intelligence. The European Physical Journal Special Topics, 214, 109–152.
  • Surowiecki, J. (2004). The wisdom of crowds. London: Little, Brown.
  • Swan, M. (2013). The quantified self: Fundamental disruption in big data science and biological discovery. Big Data, 1(2), 85–99.
  • Terwiesch, C., & Xu, Y. (2008). Innovation contests, open innovation, and multiagent problem solving. Management Science, 54(9), 1529–1543.
  • Vickrey, W. S. (1969). Congestion theory and transport investment. The American Economic Review, 59(2), 251–260.
  • von Hippel, E. (1994). ‘Sticky information’ and the locus of problem solving: Implications for innovation. Management Science, 40(4), 429–439.
  • Wunderlich, P., Größler, A., Zimmermann, N., & Vennix, J. A. M. (2014). Managerial influence on the diffusion of innovations within intra-organizational networks. Systems Dynamics Review, 30(3), 161–185.