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IDEAS, NARRATIVES AND ECONOMIC CHANGE

TERRA ECONOMICUS, , Vol. 17 (no. 1),

Citation: Tambovtsev, V. L. (2019). Ideas, narratives and economic change. Terra Economicus, 17(1), 24–40. DOI: 10.23683/2073-6606-2019-17-1-24-40

The paper deals with the critical analysis of the narrative and ideational “turns” in economic research. Based on the research findings of information science, social psychology, decision-making theory, cognitive science, anthropology, and other fields of research, the author shows that perspectives on “the power of ideas” and its impact for economic policy are greatly exaggerated. First and foremost, the scholars ignore the fact that only ideas that respond to the concerns of economic and political actors are accepted by them and transform into their beliefs. Further, to put belief into action, the actor must have the appropriate resource capacity including sufficient level of selfefficacy, as well as the internal locus of control. Finally, the actor must have appropriate incentives for action: his expected benefits ought to exceed the expected costs. For all these reasons, neither the spread of a new idea is synonymous with its acceptance, (transformation into belief), nor it is identical to the implementation of the ideas. Narratives represent the meaningful unit of content. Being similar to the structure of a decision-making situation, the narrative structure mirrors causal connections between actions and their effects. Human brain is evolutionary wired for narratives, so narrative communication has high persuasion capacity regardless of is content. This does not mean that narrative research in economy is not an important field. Narratives are part of economic culture; thus, narrative research could help reveal wrong decisions regarding economic policies.


Keywords: ideas; interests; information; narratives; economic culture; decision; action; change

References:
  • Вольчик, В. В., Маслюкова, Е. В. (2018). Нарративы, идеи и институты // Тerrа Eco-nomicus, 16(2), 150–168. [Volchik, V. V. and Maslyukova, E. V. (2018). Narratives, Ideas and Institutions // Теrrа Economicus, 16(2), 150–168. (InRussian.)]
  • Салтыков, Б. Г., Тамбовцев, В. Л. (1973). К проблеме построения дерева целей со-циально-экономической системы // Экономика и математические методы, 9(6), 1029–1038. [Saltykov, B. G. and Tambovtsev, V. L. (1973). Toward the Problem of Social-Economic System Objectives Tree Formation // Economics and Mathematical Methods, 9(6), 1029–1038. (In Russian.)]
  • Ясин, Е. Г. (1974). Экономическая информация. М.: Статистика. [Yassin, E.G. (1974). Economic Information. Moscow: Statistics. (In Russian.)]
  • Adams, F. (2003). The Informational Turn in Philosophy // Minds and Machines, 13(4), 471–501.
  • Ajzen, I. (1991). The theory of planned behavior // Organizational Behavior and Hu-man Decision Processes, 50(2), 179–211.
  • Ajzen, I. (1991). The theory of planned behavior // Organizational Behavior and Hu-man Decision Processes, 50(2), 179–211.
  • Akers, R. L., Krohn, M. D., Lanza-Kaduce, L. and Radosevich, M. (1979). Social learning and deviant behavior: A specific test of a general theory // American Sociological Review, 44(4), 636–655.
  • Axelrod, R. (1997). The dissemination of culture: A model with local convergence and global polarization // Journal of Conflict Resolution, 41(2), 203–226. 
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change // Psychological Review, 84(2), 191–215.
  • Barnett, M. and Duvall, R. (2005). Power in international politics // International Orga-nization, 59(4), 39–75.
  • Basu, K. (2018). Markets and Manipulation: Time for a Paradigm Shift? // Journal of Economic Literature, 56(1), 185–205.
  • Baumeister, R. F., Masicampo, E. J. and Vohs, K. D. (2011). Do Conscious Thoughts Cause Behavior? // Annual Review of Psychology, 62, 331–361.
  • Benham, L. and Keefer, P. (1991). Voting in firms: The role of agenda control, size and voter homogeneity // Economic Inquiry, 29(4), 706–719.
  • Bikhchandani, S., Hirshleifer, D. and Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades // Journal of Political Economy, 100(5), 992–1026.
  • Blyth, M. M. (1997). “Any more bright ideas?” The ideational turn in comparative po-litical economy // Comparative Politics, 29(2), 229–50.
  • Bourgine, P. and Nadal, J.-P. (Eds.). (2004). Cognitive Economics: An Interdisciplinary Approach. Berlin – Heidelberg: Springer.
  • Boyer, P.and Petersen, M. B. (2018). Folk-economic beliefs: An evolutionary cognitive model // Behavioral and Brain Sciences, 41, e158. DOI:10.1017/S0140525X17001960.
  • Bozatzis, N. and Dragonas, T. (Eds.) (2014). The Discursive Turn in Social Psychology. Chagrin Falls, Ohio: Taos Institute Publications.
  • Braddock, K. and Dillard, J. P. (2016). Meta-analytic evidence for the persuasive ef-fect of narratives on beliefs, attitudes, intentions, and behaviors // Communication Mono-graphs, 83(4), 446–467.
  • Braun, D. and Gilardi, F. (2006). Taking ‘Galton’s Problem’ Seriously: Towards a Theory of Policy Diffusion // Journal of Theoretical Politics, 18(3), 298–322.
  • Callon, M. (1998). Introduction: The Embeddedness of Economic Markets in Economics // Sociological Review, 46(1_suppl), 1–57.
  • Callon, M. (2010). Performativity, Misfires and Politics // Journal of Cultural Economy, 3(2), 163–169.
  • Campbell, J. L. (2002). Ideas, Politics, and Public Policy // Annual Review of Sociology, 28, 21–38.
  • Campbell, J. L. (1998). Institutional analysis and the role of ideas in political economy // Theory and Society, 27(3), 377–409.
  • Carbonell, E. and Vaquero, M.(1998). Behavioral Complexity and Biocultural Change in Europe around Forty Thousand Years Ago // Journal of Anthropological Research, 54(3), 373–398.
  • Carnes, T., Nagarajan, R., Wild, S. M. and Zuylen, A. V. (2007). Maximizing influence in a competitive social network: A follower’s perspective, pр. 351–360 / In: Proceedings of the 9th International Conference on Electronic Commerce, Minneapolis, MN, USA, 19–22 August.
  • Carstensen, M. B. and Schmidt, V. A. (2016). Power through, over and in ideas: con-ceptualizing ideational power in discursive institutionalism // Journal of European Public Policy, 23(3), 318–337.
  • Chow, H. M., Mar, R. A., Xu, Y., Liu, S., Wagage, S. and Braun, A. R. (2014). Embodied Comprehension of Stories: Interactions between Language Regions and Modality-specific Neural Systems // Journal of Cognitive Neuroscience, 26(2), 279–295.
  • Clark, R. E. (2009). Resistance to Change: Unconscious Knowledge and the Challenge of Unlearning, рр. 75–94 / In: D. C. Berliner and H. Kupermintz (eds.) Changing Institutions, Environments and People. New York: Routledge.
  • Cooper, D. J. and Kagel, J. H. (2016). Other-Regarding Preferences: A Selective Survey of Experimental Results, pp. 217–289 / In: J. H. Kagel and A. E. Roth (eds.) The Handbook of Experimental Economics, 2.Princeton and Oxford: Princeton University Press.
  • Czarniawska, B. (2004). Narratives in Social Science Research. London: Sage.
  • Dahl, R. A. (1957). The concept of power // Behavioral Science, 2(3), 201–215.
  • Darriet, E. and Bourgeois-Gironde, S. (2015). Why lay social representations of the economy should count in economics // Mind & Society, 14(2), 245–258.
  • Dautenhahn, K. (2002). The origins of narrative: In search of the transactional format of narratives in humans and other social animals // International Journal of Cognition and Technology, 1(1), 97–123.
  • Dole, J. A. and Sinatra, G. M. (1998). Reconceptualizing Change in the Cognitive Con-struction of Knowledge // Educational Psychologist, 33(2/3), 109–128.
  • Evans, P. (2005). The Challenges of the Institutional Turn: New Interdisciplinary Op-portunities in Development Theory, рp. 90–116 / In: V. Nee and R. Swedberg (eds.) The economic sociology of capitalism. Princeton, NJ: Princeton Univ. Press.
  • Festinger, L., Schachter, S. and Back, K. (1950). Social Pressures in Informal Groups. Stanford, CA: Stanford University Press.
  • Fischer, F. and Forester, J. (Eds). (2002). The Argumentative Turn in Policy Analysis and Planning. London: UCL Press.
  • Fischer, R. (2017). From values to behavior and from behavior to values, pp. 219–235 / In: S. Roccas and L. Sagiv (eds.) Values and Behavior. Taking a cross-cultural perspective. Berlin: Springer.
  • Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S. and Lorenz, J. (2017). Models of Social Influence: Towards the Next Frontiers // JASSS – Journal of Artifi-cial Societies and Social Simulation, 20(4), [2]. DOI: 10.18564/jasss.3521.
  • Fried, I., Haggard, P., He, B. J. and Schurger, A. (2017). Volition and Action in the Human Brain: Processes, Pathologies, and Reasons // Journal of Neuroscience, 37(45), 10842–10847.
  • Goldenberg, J., Libai, B. and Muller, E. (2001). Talk of the network: A complex systems look at the underlying process of word-of-mouth // Marketing Letters, 12(3), 211–223.
  • Granovetter, M. S. (1978). Threshold models of collective behavior // American Journal of Sociology, 83(6), 1420–1443.
  • Groeber, P., Lorenz, J. and Schweitzer, F. (2014). Dissonance minimization as a micro-foundation of social influence in models of opinion formation // Journal of Mathematical Sociology, 38(3), 147–174.
  • Güth, W., Schmittberger, R. and Schwarze, B. (1982). An Experimental Analysis of Ulti-matum Bargaining // Journal of Economic Behavior & Organization, 3(4), 367–388.
  • Haas, M. R., Criscuolo, P. and George, G. (2015). Which problems to solve? Online knowl-edge sharing and attention allocation in organizations // Academy of Management Jour-nal, 58(3), 680–711.
  • Homans, G. C. (1950). The Human Group. New York: Harcourt, Brace & World.
  • Hornikx, J. (2018). Combining Anecdotal and Statistical Evidence in Real-Life Dis-course: Comprehension and Persuasiveness // Discourse Processes, 55(3), 324–336.
  • Hovland, C. I., Harvey, O. J. and Sherif, M. (1957). Assimilation and contrast effects in reactions to communication and attitude change // Journal of Abnormal and Social Psy-chology, 55(2), 244–252.
  • Hsu, J. (2008). The Secrets of Storytelling: Our love for telling tales reveals the work-ings of the mind // Scientific American: Mind, 19(4), 46–51.
  • Huffman, A. H., Van Der Werff, B. R., Henning, J. B. and Watrous-Rodriguez, K. (2014). When do recycling attitudes predict recycling? An investigation of self-reported versus observed behavior // Journal of Environmental Psychology, 38, 262–270.
  • Jager, W. and Amblard, F. (2005). Uniformity, bipolarization and pluriformity captured as generic stylized behavior with an agent-based simulation model of attitude change // Computational & Mathematical Organization Theory, 10(4), 295–303.
  • Kang, H., Scharmann, L. C., Kang, S. and Noh, T. (2010). Cognitive conflict and situ-ational interest as factors influencing conceptual change // International Journal of Envi-ronmental & Science Education, 5(4), 383–405.
  • Kendeou, P., Smith, E. R. and O’Brien, E. J. (2013). Updating During Reading Compre-hension: Why Causality Matters // Journal of Experimental Psychology Learning, Memory, and Cognition, 39(3), 854–865.
  • Kermack, W. O. and McKendrick, A. G. (1927). A contribution to the mathematical the-ory of epidemics // Proceedings of the Royal Society of London. Series A, 115(772), 700–721.
  • Kim, O. and Walker, M. (1984). The Free Rider Problem: Experimental Evidence // Public Choice, 43(1), 3–24.
  • Leung, K. and Bond, M. H. (2004). Social Axioms: A model for social beliefs in multi-cultural perspective // Advances in Experimental Social Psychology, 36, 119–197.
  • Levy, D. J. and Glimcher, P. W. (2012). The root of all value: a neural common currency for choice // Current Opinion in Neurobiology, 22(6), 1027–1038.
  • Lewandowsky, S., Ecker, U. K. H. and Cook, J. (2017). Beyond misinformation: Under-standing and coping with the post-truth era // Journal of Applied Research in Memory and Cognition, 6(4), 353–369.
  • Lindvall, J. (2009). The real but limited influence of expert ideas // World Politics, 61(4), 703–730.
  • Littlefield, M. M. and Johnson, J. (eds.) (2012). The Neuroscientific Turn: Transdiscipli-narity in the Age of the Brain. Ann Arbor: University of Michigan Press.
  • Low, J. and Perner, J. (2012). Implicit and explicit theory of mind: State of the art // British Journal of Developmental Psychology, 30(1), 1–13.
  • MacKenzie, D. (2006). An Engine, Not a Camera: How Financial Models Shape Markets. Cambridge–London: MIT Press.
  • Marangunić, N. and Granić, A. (2015). Technology acceptance model: a literature re-view from 1986 to 2013 // Universal Access in the Information Society, 14(1), 81–95.
  • Margolis, H. (1981). A New Model of Rational Choice // Ethics, 91(2), 265–279.
  • Mukand, S. W. and Rodrik, D. (2018). The Political Economy of Ideas: On Ideas versus Interests in Policymaking // University of Warwick, Department of Economics. WP-370.
  • Myers, D. G. (1982). Polarizing effects of social interaction, pp. 125–161 / In: H. Brand-statter, J. H. Davis and G. Stocher-Kreichgauer (eds.) Contemporary problems in group decision-making. New York: Academic Press.
  • Nabi, R. L. and Green, M. C. (2015). The Role of a Narrative’s Emotional Flow in Promot-ing Persuasive Outcomes // Media Psychology, 18(2), 137–162.
  • Nash, K. (2001). The ‘Cultural Turn’ in Social Theory: Towards a Theory of Cultural Poli-tics // Sociology, 35(1), 77–92.
  • Nickerson, R. S. (1998). Confirmation bias: A Ubiquitous Phenomenon in Many Guises // Review of General Psychology, 2(2), 175–220.
  • Oatley, K. (2008). The mind’s flight simulator // Psychologist, 21(12), 1030–1031.
  • Ocasio, W. (1997). Towards an attention-based view of the firm // Strategic Manage-ment Journal, 18(7), 187–206.
  • Rabin, M. (1993). Incorporating fairness into game theory and economics // American Economic Review, 83(5), 1281–302.
  • Raichle, M. E. (2015). The Brain’s Default Mode Network // Annual Review of Neurosci-ence, 38, 433–447.
  • Rashotte, L. S. (2007). Social Influence, pp. 4426–4429 / In: G. Ritzer and J. M. Ryan (eds.). Blackwell Encyclopedia of Sociology, vol. IX. Oxford: Blackwell Publishing.
  • Reason, P. and Torbert, W. R. (2001). The action turn: Toward a transformational social science // Concepts and Transformation, 6(1), 1–37.
  • Rogers, E. M. (1995). Diffusion of innovations. New York: Free Press.
  • Rubin, P. H. (2003). Folk Economics // Southern Economic Journal, 70(1), 157–171.
  • Schreiner, C., Appel, M., Isberner, M.-B. and Richter, T. (2018). Argument Strength and the Persuasiveness of Stories // Discourse Processes, 55(4), 371–386.
  • Schroeder, T. (2010). Desire: philosophical issues // Wiley Interdisciplinary Reviews. Cognitive Science, 1(3), 363–370.
  • Srite, M. and Karahanna, E. (2006). The Role of Espoused National Cultural Values in Technology Acceptance // MIS Quarterly, 30(3), 679–704.
  • Sugiyama, M. S. (1996). On the origins of narrative: Storyteller bias as a fitness-en-hancing strategy // Human Nature, 7(4), 403–425.
  • Sussman, S. W. and Siegal, W. S. (2003). Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption // Information Systems Research, 14(1), 47–65.
  • Taffesse, A. and Tadesse, F. (2017). Pathways Less Explored – Locus of Control and Tech-nology Adoption // Journal of African Economies, 26 (suppl_1), i36–i72.
  • Takács, K., Flache, A. and Mäs, M. (2016). Discrepancy and disliking do not induce nega-tive opinion shifts // PLoS ONE, 11(6), e0157948.
  • Tost, L. P., Gino, F. and Larrick, R. P. (2012). Power, competitiveness, and advice taking: Why the powerful don’t listen // Organizational Behavior and Human Decision Processes, 117, 53–65.
  • Treagust, D. F. and Duit, R. (2008). Conceptual change: a discussion of theoretical, methodological and practical challenges for science education // Cultural Studies of Sci-ence Education, 3(2), 297–328.
  • Urry, J. (2005). The Complexity Turn // Theory, Culture & Society, 22(5), 1–14.
  • Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of in-formation technology: toward a unified view // MIS Quarterly, 27(3), 425–478.
  • Vosselman, E. (2014). The ‘performativity thesis’ and its critics: Towards a relational ontology of management accounting // Accounting and Business Research, 44(2), 181–203.
  • Whittington, R. (2006). Completing the Practice Turn in Strategy Research // Organiza-tion Studies, 27(5), 613–634.
  • Wobker, I., Lehmann-Waffenschmidt, M., Kenning, P. and Gigerenzer, G. (2012). What do people know about the economy? A test of minimal economic knowledge in Germany // Discus-sion Paper Series in Economics, 03/12, Techn. Univ., Fac. of Business and Economics, Dresden.
  • Wood, W. (2000). Attitude change: Persuasion and social influence // Annual Review of Psychology, 51(1), 539–570.
  • Zebregs, S., van den Putte, B., Neijens, P. and de Graaf A. (2015). The Differential Impact of Statistical and Narrative Evidence on Beliefs, Attitude, and Intention: A Meta-Analysis // Health Communication, 30(3), 282–289.

Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606