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Designing Behavioural Insights for Policy

Processes, Capacities & Institutions

Published online by Cambridge University Press:  24 April 2024

Ishani Mukherjee
Affiliation:
Singapore Management University
Assel Mussagulova
Affiliation:
University of Sydney

Summary

The diversity of knowledge surrounding behavioural insights (BI) means in the policy sciences, although visible, remains under-theorized with scant comparative and generalizable explorations of the procedural prerequisites for their effective design, both as stand-alone tools and as part of dedicated policy 'toolkits'. While comparative analyses of the content of BI tools has proliferated, the knowledge gap about the procedural needs of BI policy design is growing recognizably, as the range of BI responses grows in practice necessitating specific capabilities, processes and institutional frameworks to be in place for their design. This Element draws on the literature on policy design and innovation adoption to explore the administrative, institutional and capacity endowments of governments for the successful and appropriate integration of BI in existing policy frameworks. Further, we present three illustrative cases with respect to their experience of essential procedural endowments facilitating for the effective integration of BI in policy design.
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Online ISBN: 9781009264464
Publisher: Cambridge University Press
Print publication: 16 May 2024

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References

Abaluck, J., Kwong, L. H., Styczynski, A., et al. (2022). Impact of community masking on COVID-19: A cluster-randomized trial in Bangladesh. Science, 375(6577), 1–13.CrossRefGoogle ScholarPubMed
Abdukadirov, S. (2016). Nudge theory in action: Behavioral design in policy and markets. Springer.CrossRefGoogle Scholar
Adams, R., Bessant, J., & Phelps, R. (2006). Innovation management measurement: A review. International Journal of Management Reviews, 8(1), 2147. https://doi.org/10.1111/j.1468-2370.2006.00119.xCrossRefGoogle Scholar
Adner, R., & Helfat, C. E. (2003). Corporate effects and dynamic managerial capabilities. Strategic Management Journal, 24(10), 10111025. https://doi.org/10.1002/smj.331CrossRefGoogle Scholar
Afif, Z., Islan, W. W., Calvo-Gonzalez, O., & Dalton, A. (2019). Behavioral science around the world: Profiles of 10 countries. World Bank. https://documents1.worldbank.org/curated/en/710771543609067500/pdf/132610-REVISED-00-COUNTRY-PROFILES-dig.pdGoogle Scholar
Ahuja, G., Lampert, C. M., & Tandon, V. (2008). Moving beyond Schumpeter: Management research on the determinants of technological innovation. Academy of Management Annals, 2(1), 198. https://doi.org/10.5465/19416520802211446CrossRefGoogle Scholar
Aiken, M., & Hage, J. (1971). The organic organization and innovation. Sociology, 5(1), 63–82. https://doi.org/10.1177/003803857100500105CrossRefGoogle Scholar
Alemanno, A., & Sibony, A. L. (Eds.). (2015). Nudge and the law: A European perspective. Bloomsbury Publishing.Google Scholar
Andersen, D. F., & Dawes, S. S. (1991). Government information management: A primer and casebook. Prentice Hall.Google Scholar
Asian Development Bank. (2017). Behaviour change communication: If you build it, they may not come. Asian Development Blog, 18 December.Google Scholar
Atuahene-Gima, K. (2003). The effects of centrifugal and centripetal forces on product development speed and quality: How does problem solving matter? Academy of Management Journal, 46(3), 359–373. https://doi.org/10.2307/30040629CrossRefGoogle Scholar
Auld, G., Balboa, C., Bernstein, S., et al. (2009). The emergence of non-state market-driven (NSDM) global environmental governance. In Delmas, M. A. & Young, O. R. (Eds.), Governance for the environment: New perspectives (pp. 183–218). Cambridge University Press.Google Scholar
Baer, J. (1998). The case for domain specificity of creativity. Creativity Research Journal, 11(2), 173177. https://doi.org/10.1207/s15326934crj1102_7CrossRefGoogle Scholar
Baldridge, J. V., & Burnham, R. A. (1975). Organizational innovation: Individual, organizational, and environmental impacts. Administrative Science Quarterly, 20(2), 165176. https://doi.org/10.2307/2391692CrossRefGoogle Scholar
Bali, A. S., Howlett, M., Lewis, J. M., & Ramesh, M. (2021). Procedural policy tools in theory and practice. Policy and Society, 40(3), 295311. https://doi.org/10.1080/14494035.2021.1965379CrossRefGoogle Scholar
Ball, S., & Feitsma, J. (2020). The boundaries of behavioural insights: observations from two ethnographic studies. Evidence & Policy, 16(4), 559577.CrossRefGoogle Scholar
Ball, S., & Head, B. W. (2021). Behavioural insights teams in practice: Nudge missions and methods on trial. Policy & Politics, 49(1), 105120. https://doi.org/10.1332/030557320X15840777045205CrossRefGoogle Scholar
Ball, S., Hiscox, M., & Oliver, T. (2017). Starting a behavioural insights team: Three lessons from the Behavioural Economics Team of the Australian Government. Journal of Behavioral Economics for Policy, 1(Special Issue), 2126.Google Scholar
Banerjee, A., Alsan, M., Breza, E., et al. (2020). Messages on COVID-19 prevention in India increased symptoms reporting and adherence to preventive behaviors among 25 million recipients with similar effects on non-recipient members of their communities (No. w27496). National Bureau of Economic Research.CrossRefGoogle Scholar
Banerjee, S., & John, P. (2021). Nudge plus: Incorporating reflection into behavioral public policy. Behavioural Public Policy, 8(1), 6984.CrossRefGoogle Scholar
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99120. https://doi.org/10.1177/014920639101700108CrossRefGoogle Scholar
Battaglio, R. P. Jr, Belardinelli, P., Bellé, N., & Cantarelli, P. (2019). Behavioral public administration ad fontes: A synthesis of research on bounded rationality, cognitive biases, and nudging in public organizations. Public Administration Review, 79(3), 304320.CrossRefGoogle Scholar
Bavel, J. J. V., Baicker, K., Boggio, P. S … & Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4, 460471.CrossRefGoogle ScholarPubMed
Bechky, B. A. (2003). Object lessons: Workplace artifacts as representations of occupational jurisdiction. American Journal of Sociology, 109(3), 720752. https://doi.org/10.1086/379527CrossRefGoogle Scholar
Bemelmans-Videc, M.-L., Rist, R. C., & Vedung, E. O. (2011). Carrots, sticks, and sermons: Policy instruments and their evaluation (Vol. 1). Transaction Publishers.Google Scholar
Benartzi, S., Beshears, J., Milkman, K. L., et al. (2017). Should governments invest more in nudging? Psychological Science, 28(8), 10411055.CrossRefGoogle ScholarPubMed
Bernstein, S. (2001). The compromise of liberal environmentalism. Columbia University Press.CrossRefGoogle Scholar
Bernstein, S., & Cashore, B. (2000). Globalization, four paths of internationalization and domestic policy change: the case of ecoforestry in British Columbia, Canada. Canadian Journal of Political Science/Revue canadienne de science politique, 33(1), 6799.CrossRefGoogle Scholar
Bernstein, S., & Cashore, B. (2012). Complex global governance and domestic policies: Four pathways of influence. International Affairs, 88(3), 585604.CrossRefGoogle Scholar
Bobrow, D. B., & Dryzek, J. S. (1987). Policy analysis by design. University of Pittsburgh Press.Google Scholar
Bovens, L. (2009). The ethics of nudge. In Grüne-Yanoff, T. & Hansson, S. O. (Eds.), Preference change: Approaches from philosophy, economics and psychology (pp. 207219). Springer.CrossRefGoogle Scholar
Brenton, S., Baekkeskov, E., & Hannah, A. (2023). Policy capacity: Evolving theory and missing links. Policy Studies, 44(3), 297315.CrossRefGoogle Scholar
Brondizio, E. S., Ostrom, E., & Young, O. R. (2009). Connectivity and the governance of multilevel social-ecological systems: The role of social capital. Annual Review of Environment and Resources, 34, 253278.CrossRefGoogle Scholar
Capano, G. (2020). Studying public policy: A mechanistic perspective. In Capano, G. & Howlett, M. (Eds.), A Modern Guide to Public Policy (pp. 112130). Edward Elgar Publishing.CrossRefGoogle Scholar
Capano, G., & Engeli, I. (2022). Using instrument typologies in comparative research: Conceptual and methodological trade-offs. Journal of Comparative Policy Analysis: Research and Practice, 24(2), 99116.Google Scholar
Capano, G., & Howlett, M. (2020). The knowns and unknowns of policy instrument analysis: Policy tools and the current research agenda on policy mixes. Sage Open, 10(1). https://doi.org/10.1177/2158244019900568CrossRefGoogle Scholar
Carlile, P. R. (2004). Transferring, translating, and transforming: An integrative framework for managing knowledge across boundaries. Organization Science, 15(5), 555568. https://doi.org/10.1287/orsc.1040.0094CrossRefGoogle Scholar
Carlsson, F., Gravert, C., Johansson-Stenman, O., & Kurz, V. (2021). The use of green nudges as an environmental policy instrument. Review of Environmental Economics and Policy, 15(2), 216237.CrossRefGoogle Scholar
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 525.CrossRefGoogle Scholar
Cashore, B., Bernstein, S., Humphreys, D., et al. (2019). Designing stakeholder learning dialogues for effective global governance. Policy and Society, 38(1), 118147.CrossRefGoogle Scholar
Ciriolo, E., Lourenço, J. S., & Almeida, S. R. (2019). The application of behavioural insights to policy in Europe. In Straßheim, H. & Beck, S. (Eds.), Handbook of behavioural change and public policy (pp. 102121). Edward Elgar Publishing.Google Scholar
Clark, K. B., & Fujimoto, T. (1991). Product development performance: Strategy, organization, and management in the world auto industry. Harvard Business Press.Google Scholar
Cohen, N., & Aviram, N. F. (2021). Street-level bureaucrats and policy entrepreneurship: When implementers challenge policy design. Public Administration, 99(3), 427438.CrossRefGoogle Scholar
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128152. https://doi.org/10.2307/2393553CrossRefGoogle Scholar
Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555590. https://doi.org/10.2307/256406CrossRefGoogle Scholar
Damanpour, F., Chiu, H., & Wischnevsky, J. (2009). Organizational complexity, resources and the adoption of management innovations: The influence of adoption process. European Academy of Management Conference, Liverpool.Google Scholar
Damanpour, F., & Schneider, M. (2006). Phases of the adoption of innovation in organizations: Effects of environment, organization and top managers. British Journal of Management, 17(3), 215236. https://doi.org/10.1111/j.1467-8551.2006.00498.xCrossRefGoogle Scholar
Datta, S., & Mullainathan, S. (2014). Behavioral design: A new approach to development policy. Review of Income and Wealth, 60(1), 735.CrossRefGoogle Scholar
Dawes, S. S. (1996). Interagency information sharing: Expected benefits, manageable risks. Journal of Policy Analysis and Management, 15(3), 377394.3.0.CO;2-F>CrossRefGoogle Scholar
Deaton, A., & Cartwright, N. (2018). Understanding and misunderstanding randomized controlled trials. Social Science & Medicine, 210, 221.CrossRefGoogle ScholarPubMed
Debnath, R., & Bardhan, R. (2020). India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling. PloS One, 15(9), e0238972. https://doi.org/10.1371/journal.pone.0238972CrossRefGoogle ScholarPubMed
de Ridder, D., Feitsma, J., van den Hoven, M., et al. (2020). Simple nudges that are not so easy. Behavioural Public Policy, 119.Google Scholar
de Souza Leão, L., & Eyal, G. (2019). The rise of randomized controlled trials (RCTs) in international development in historical perspective. Theory and Society, 48, 383418.CrossRefGoogle Scholar
Detenber, B. H. (2021). Nudging in Singapore: Current implementation in three key areas. Journal of Asian Economic Integration, 3(1), 7492. https://doi.org/10.1177/2631684620982776CrossRefGoogle Scholar
Dolowitz, D. P., & Marsh, D. (2000). Learning from abroad: The role of policy transfer in contemporary policy-making. Governance, 13(1), 523. https://doi.org/10.1111/0952-1895.00121CrossRefGoogle Scholar
Dougherty, D. (1992). Interpretive barriers to successful product innovation in large firms. Organization Science, 3(2), 179202. https://doi.org/10.1287/orsc.3.2.179CrossRefGoogle Scholar
Dougherty, D., & Dunne, D. D. (2012). Digital science and knowledge boundaries in complex innovation. Organization Science, 23(5), 14281447. https://doi.org/10.1287/orsc.1110.0700CrossRefGoogle Scholar
Durose, C., & Richardson, L. (2016). Designing public policy for co-production. Policy Press.Google Scholar
Edmondson, A. C., & Nembhard, I. M. (2009). Product development and learning in project teams: The challenges are the benefits. Journal of Product Innovation Management, 26(2), 123138. https://doi.org/10.1111/j.1540-5885.2009.00341.xCrossRefGoogle Scholar
Einfeld, C., & Blomkamp, E. (2022). Nudge and co-design: Complementary or contradictory approaches to policy innovation? Policy Studies, 43(5), 901919. https://doi.org/10.1080/01442872.2021.1879036CrossRefGoogle Scholar
Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E3.0.CO;2-E>CrossRefGoogle Scholar
Ekhardt, F., & Wieding, J. (2016). Nudging and environmental law. In Mathis, K. & Tor, A. (Eds.), Nudging: Possibilities, limitations and applications in European law and economics, (pp. 247–262). Springer.Google Scholar
Environmental Policy Committee (EPOC). (2017). Behavioural insights for environmentally relevant policies: Review of experiences from OECD countries and beyond. OECD Environment Directorate ENV/EPOC/WPIEEP(2016)15/FINAL, JT03410762.Google Scholar
Ericsson, K. A., & Charness, N. (1994). Expert performance: Its structure and acquisition. American Psychologist, 49(8), 725747. https://doi.org/10.1037/0003-066X.49.8.725CrossRefGoogle Scholar
Ewert, B. (2020). Moving beyond the obsession with nudging individual behaviour: Towards a broader understanding of Behavioural Public Policy. Public Policy and Administration, 35(3), 337360.CrossRefGoogle Scholar
Ewert, B., & Loer, K. (2021). Advancing behavioural public policies: In pursuit of a more comprehensive concept. Policy & Politics, 49(1), 2547.CrossRefGoogle Scholar
Ewert, B., Loer, K., & Thomann, E. (2021). Beyond nudge: Advancing the state-of-the-art of behavioural public policy and administration. Policy & Politics, 49(1), 323.CrossRefGoogle Scholar
Feitsma, J. N. P. (2018). The behavioural state: Critical observations on technocracy and psychocracy. Policy Sciences, 51(3), 387410.CrossRefGoogle ScholarPubMed
Feitsma, J. (2019). Brokering behaviour change: The work of behavioural insights experts in government. Policy & Politics, 47(1), 3756.CrossRefGoogle Scholar
Feitsma, J., & Schillemans, T. (2019). Behaviour experts in government: From newcomers to professionals? In Straßheim, H. & Beck, S. (Eds.), Handbook of behavioural change and public policy (pp. 122–137). Edward Elgar Publishing. https://doi.org/10.4337/9781785367854.00015Google Scholar
Feitsma, J., & Whitehead, M. (2022). Bounded interdisciplinarity: Critical interdisciplinary perspectives on context and evidence in behavioural public policies. Behavioural Public Policy, 6(3), 358384.CrossRefGoogle Scholar
Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163176. https://doi.org/10.1016/S0148-2963(00)00152-1CrossRefGoogle Scholar
Galizzi, M. M. (2017). Behavioral aspects of policy formulation: Experiments, behavioral insights, nudges. In Howlett, M., Mukherjee, I., & Fraser, S. (Eds.), Handbook of policy formulation (pp. 410430). Edward Elgar Publishing.Google Scholar
Garrard, J., Rose, G., & Lo, S. K. (2008). Promoting transportation cycling for women: The role of bicycle infrastructure. Preventive Medicine, 46(1), 5559. https://doi.org/10.1016/j.ypmed.2007.07.010CrossRefGoogle ScholarPubMed
Giest, S., & Mukherjee, I. (2018). Behavioral instruments in renewable energy and the role of big data: A policy perspective. Energy Policy, 123, 360366.CrossRefGoogle Scholar
Gil-Garcia, J. R., & Martinez-Moyano, I. J. (2007). Understanding the evolution of e-government: The influence of systems of rules on public sector dynamics. Government Information Quarterly, 24(2), 266290.CrossRefGoogle Scholar
Gilabert, P., & Lawford-Smith, H. (2012). Political feasibility: A conceptual exploration. Political Studies, 60(4), 809825.CrossRefGoogle Scholar
Givoni, M., Macmillen, J., Banister, D., & Feitelson, E. (2013). From policy measures to policy packages. Transport Reviews, 33(1), 120.CrossRefGoogle Scholar
Gopalakrishnan, S., & Damanpour, F. (1997). A review of innovation research in economics, sociology and technology management. Omega, 25(1), 1528. https://doi.org/10.1016/S0305-0483(96)00043-6CrossRefGoogle Scholar
Gopalan, M., & Pirog, M. A. (2017). Applying behavioral insights in policy analysis: Recent trends in the United States. Policy Studies Journal, 45(S1), S82S114.CrossRefGoogle Scholar
Grant, R. M. (1996). Prospering in dynamically-competitive environments: Organizational capability as knowledge integration. Organization Science, 7(4), 375387. https://doi.org/10.1287/orsc.7.4.375CrossRefGoogle Scholar
Gravert, C., & Shreedhar, G. (2022). Effective carbon taxes need green nudges. Nature Climate Change, 12(12), 10731074.CrossRefGoogle Scholar
Grüne-Yanoff, T., & Hertwig, R. (2016). Nudge versus boost: How coherent are policy and theory? Minds and Machines, 26(1), 149183.CrossRefGoogle Scholar
Hallsworth, M. (2023). A manifesto for applying behavioural science. Nature Human Behaviour, 7, 310322.CrossRefGoogle ScholarPubMed
Hallsworth, M., & Kirkman, E. (2020). Behavioral insights. MIT Press.CrossRefGoogle Scholar
Halpern, D. (2015a). Can ‘nudging’ change behaviour? Using ‘behavioural insights’ to improve program redesign. In Wanna, J., Lee, H.-A., & Yates, S. (Eds.), Managing under austerity, delivering under pressure (pp. 165–179). ANU Press.Google Scholar
Halpern, D. (2015b). Inside the nudge unit: How small changes can make a big difference. Random House.Google Scholar
Halpern, D. (2015c). The rise of psychology in policy: The UK’s de facto Council of Psychological Science Advisers. Perspectives on Psychological Science, 10(6), 768771.CrossRefGoogle ScholarPubMed
Hameed, M. A., & Counsell, S. (2014). Establishing relationships between innovation characteristics and IT innovation adoption in organisations: A meta-analysis approach. International Journal of Innovation Management, 18(1), 1450007.CrossRefGoogle Scholar
Hameed, M. A., Counsell, S., & Swift, S. (2012). A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations. Information & Management, 49(5), 218232. https://doi.org/10.1016/j.im.2012.05.002CrossRefGoogle Scholar
Hartley, K., & Jarvis, D. S. (2020). Policymaking in a low-trust state: Legitimacy, state capacity, and responses to COVID-19 in Hong Kong. Policy and Society, 39(3), 403423.CrossRefGoogle Scholar
Hausman, D. M., & Welch, B. (2010). Debate: To nudge or not to nudge. Journal of Political Philosophy, 18(1), 123136.CrossRefGoogle Scholar
Haynes, L., Service, O., Goldacre, B., & Torgerson, D. (2012). Test, learn, adapt: Developing public policy with randomised controlled trials (SSRN Scholarly Paper No. 2131581). https://doi.org/10.2139/ssrn.2131581CrossRefGoogle Scholar
Helfat, C. E., & Martin, J. A. (2015). Dynamic managerial capabilities: Review and assessment of managerial impact on strategic change. Journal of Management, 41(5), 12811312. https://doi.org/10.1177/0149206314561301CrossRefGoogle Scholar
Hertwig, R., & Grüne-Yanoff, T. (2017). Nudging and boosting: Steering or empowering good decisions. Perspectives on Psychological Science, 12(6), 973986.CrossRefGoogle ScholarPubMed
Hill, M., & Varone, F. (2016). The public policy process. Taylor & Francis.CrossRefGoogle Scholar
Holland, S., Gaston, K., & Gomes, J. (2000). Critical success factors for cross‐functional teamwork in new product development. International Journal of Management Reviews, 2(3), 231259. https://doi.org/10.1111/1468-2370.00040CrossRefGoogle Scholar
Hood, C. (2007). Intellectual obsolescence and intellectual makeovers: Reflections on the tools of government after two decades. Governance, 20(1), 127144.CrossRefGoogle Scholar
Hood, C., & Margetts, H. (2007). The tools of government in the digital age. Bloomsbury Publishing.CrossRefGoogle Scholar
Howieson, J., Lawley, M., & Selen, W. (2014). New product development in small food enterprises. Journal of New Business Ideas & Trends, 12(1), 1126.Google Scholar
Howlett, M. (2000). Managing the ‘hollow state’: Procedural policy instruments and modern governance. Canadian Public Administration/Administration Publique Du Canada, 43(4), 412431. https://doi.org/10.1111/j.1754-7121.2000.tb01152.xCrossRefGoogle Scholar
Howlett, M. (2018). Matching policy tools and their targets: Beyond nudges and utility maximisation in policy design. Policy & Politics, 46(1), 101124.CrossRefGoogle Scholar
Howlett, M., & Leong, C. (2022). What is behavioral in policy studies? How far has the discipline moved beyond traditional utilitarianism? Journal of Behavioral Public Administration, 5(1).CrossRefGoogle Scholar
Howlett, M., & Ramesh, M. (1998). Policy subsystem configurations and policy change: Operationalizing the postpositivist analysis of the politics of the policy process. Policy Studies Journal, 26(3), 466481. https://doi.org/10.1111/j.1541-0072.1998.tb01913.xCrossRefGoogle Scholar
Howlett, M., & Ramesh, M. (2016). Achilles’ heels of governance: Critical capacity deficits and their role in governance failures: The Achilles heel of governance. Regulation & Governance, 10(4), 301313. https://doi.org/10.1111/rego.12091CrossRefGoogle Scholar
Howlett, M., Ramesh, M., & Capano, G. (2020). Policy-makers, policy-takers and policy tools: Dealing with behavioural issues in policy design. Journal of Comparative Policy Analysis: Research and Practice, 22(6), 487497.Google Scholar
Howlett, M., Ramesh, M., & Perl, A. (2009). Studying public policy: Policy cycles and policy subsystems (Vol. 3). Oxford University Press.Google Scholar
John, P. (2013). All tools are informational now: How information and persuasion define the tools of government. Policy & Politics, 41(4), 605620.CrossRefGoogle Scholar
John, P. (2018). How far to nudge? Assessing behavioural public policy. Edward Elgar Publishing.CrossRefGoogle Scholar
John, P., & Blume, T. (2018). How best to nudge taxpayers? The impact of message simplification and descriptive social norms on payment rates in a central London local authority. Journal of Behavioral Public Administration, 1(1). https://doi.org/10.30636/jbpa.11.10CrossRefGoogle Scholar
John, P., Cotterill, S., Moseley, A., et al. (2020). Nudge, nudge, think, think: Experimenting with ways to change citizen behaviour. Manchester University Press.CrossRefGoogle Scholar
John, P., & Stoker, G. (2019). Rethinking the role of experts and expertise in behavioural public policy. Policy & Politics, 47(2), 209226.CrossRefGoogle Scholar
Jones, R., Pykett, J., & Whitehead, M. (2013). Changing behaviours: On the rise of the psychological state. Edward Elgar Publishing.CrossRefGoogle Scholar
Jones, S., Head, B., & Ferguson, M. (2021). In search of policy innovation: Behavioural Insights Teams in Australia and New Zealand. Australian Journal of Public Administration, 80(3), 435452. https://doi.org/10.1111/1467-8500.12478CrossRefGoogle Scholar
Kaplan, S., Milde, J., & Cowan, R. S. (2017). Symbiont practices in boundary spanning: Bridging the cognitive and political divides in interdisciplinary research. Academy of Management Journal, 60(4), 13871414. https://doi.org/10.5465/amj.2015.0809CrossRefGoogle Scholar
Karaman Akgul, A., & Gozlu, S. (2015). The role of organizational resources and market competitiveness in innovativeness. Journal of Business, Economics and Finance, 4(1), 166184. http://doi.org/10.17261/Pressacademia.2015110016Google Scholar
Kellogg, K. C. (2014). Brokerage professions and implementing reform in an age of experts. American Sociological Review, 79(5), 912941. https://doi.org/10.1177/0003122414544734CrossRefGoogle Scholar
Kimberly, J. R., & Evanisko, M. J. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of Management Journal, 24(4), 689713. https://psycnet.apa.org/doi/10.2307/256170CrossRefGoogle ScholarPubMed
Kirkman, D. M. (2012). Social enterprises: A multi-level framework of the innovation adoption process. Innovation, 14(1), 143155. https://doi.org/10.5172/impp.2012.14.1.143CrossRefGoogle Scholar
Kislov, R., Hodgson, D., & Boaden, R. (2016). Professionals as knowledge brokers: The limits of authority in healthcare collaboration. Public Administration, 94(2), 472489. https://doi.org/10.1111/padm.12227CrossRefGoogle Scholar
Klein, K. J., & Sorra, J. S. (1996). The challenge of innovation implementation. The Academy of Management Review, 21(4), 10551080. https://doi.org/10.2307/259164CrossRefGoogle Scholar
Klijn, E.-H., Koppenjan, J., & Termeer, K. (1995). Managing networks in the public sector: A theoretical study of management strategies in policy networks. Public Administration, 73(3), 437454.CrossRefGoogle Scholar
Knetsch, J. (2012). Behavioural economics, policy analysis and the design of regulatory reform. In Low, D. (Ed.), Behavioural economics and policy design: Examples from Singapore (pp. 161182). World Scientific.Google Scholar
Knight, C., & Lyall, C. (2013). Knowledge brokers: The role of intermediaries in producing research impact. Evidence & Policy, 9(3), 309–316. https://doi.org/10.1332/174426413X671941CrossRefGoogle Scholar
Kok, P. S. (n.d.). Nudges: Why, how and what next? Ethos, 17, 615. https://knowledge.csc.gov.sg/ethos-issue-17/nudges-why-how-what-next/Google Scholar
Kosters, M., & Van der Heijden, J. (2015). From mechanism to virtue: Evaluating Nudge theory. Evaluation, 21(3), 276291.CrossRefGoogle Scholar
Krueger, J. I., & Funder, D. C. (2004). Towards a balanced social psychology: Causes, consequences, and cures for the problem-seeking approach to social behavior and cognition. Behavioral and Brain Sciences, 27(3), 313327.CrossRefGoogle ScholarPubMed
Kuehnhanss, C. R. (2019). The challenges of behavioural insights for effective policy design. Policy and Society, 38(1), 1440.CrossRefGoogle Scholar
Kulkarni, D., & Simon, H. A. (1988). The processes of scientific discovery: The strategy of experimentation. Cognitive Science, 12(2), 139175. https://doi.org/10.1207/s15516709cog1202_1CrossRefGoogle Scholar
Kwon, T. H., & Zmud, R. W. (1987). Unifying the fragmented models of information systems implementation. In Boland, R. J. & Hirschheim, R. A. (Eds.), Critical issues in information systems research (pp. 227251). Wiley.Google Scholar
Lee, K. Y. (2012). From third world to first: The Singapore story, 1965–2000. Marshall Cavendish International Asia Pte Ltd.Google Scholar
Lehner, M., Mont, O., & Heiskanen, E. (2016). Nudging: A promising tool for sustainable consumption behaviour? Journal of Cleaner Production, 134, 166177.CrossRefGoogle Scholar
Lepenies, R., & Małecka, M. (2015). The institutional consequences of nudging: Nudges, politics, and the law. Review of Philosophy and Psychology, 6(3), 427437.CrossRefGoogle Scholar
Lewin, K. (1952). Group decision and social change. In T. Newcombe & E. Hartley, Readings in social psychology (pp. 197211). Henry Holt.Google Scholar
Lewis, L. K., & Seibold, D. R. (1993). Innovation modification during intraorganizational adoption. The Academy of Management Review, 18(2), 322354. https://doi.org/10.2307/258762CrossRefGoogle Scholar
Lodge, M., & Wegrich, K. (2016). The rationality paradox of nudge: Rational tools of government in a world of bounded rationality. Law & Policy, 38(3), 250267.CrossRefGoogle Scholar
Low, D. (2011). Behavioural economics and policy design: Examples from Singapore. World Scientific.CrossRefGoogle Scholar
Lunn, P. D. (2012). Behavioural economics and policymaking: Learning from the early adopters. The Economic and Social Review, 43(3), 423449.Google Scholar
Maddix, N. (2017). What is the future of behavioral research and large-scale nudges? Five practical tips. Behavioural Economics, 31 October. www.behavioraleconomics.com/future-behavioral-research-nudges/Google Scholar
Mani, A. (2021). Experimental evidence, scaling and public policy: A perspective from developing countries. Behavioural Public Policy, 5(1), 103111.CrossRefGoogle Scholar
Maor, M. (2020). Policy over-and under-design: An information quality perspective. Policy Sciences, 53(3), 395411.CrossRefGoogle ScholarPubMed
Margetts, H., & Hood, C. (2016). Tools approaches. In Peters, B. G. & Zittoun, P. (Eds.), Contemporary Approaches to Public Policy: Theories, Controversies and Perspectives (pp. 133–154). Palgrave Macmillan.Google Scholar
Marteau, T. M., Ogilvie, D., Roland, M., et al. (2011). Judging nudging: Can nudging improve population health? BMJ, 342, d228. https://doi.org/10.1136/bmj.d228CrossRefGoogle ScholarPubMed
Matta, V., Koonce, D., & Jeyaraj, A. (2012). Initiation, experimentation, implementation of innovations: The case for radio frequency identification systems. International Journal of Information Management, 32(2), 164174. https://doi.org/10.1016/j.ijinfomgt.2011.10.002CrossRefGoogle Scholar
Mellström, C., & Johannesson, M. (2008). Crowding out in blood donation: was Titmuss right? Journal of the European Economic Association, 6(4), 845863.CrossRefGoogle Scholar
Meyer, M. (2010). The rise of the knowledge broker. Science Communication, 32(1), 118127. https://doi.org/10.1177/1075547009359797CrossRefGoogle Scholar
Mitnick, B. M. (1980). Incentive systems in environmental regulation. Policy Studies Journal, 9(3), 379394.CrossRefGoogle Scholar
Mont, O., Lehner, M., & Heiskanen, E. (2014). Nudging: A tool for sustainable behaviour? Naturvårdsverket.Google Scholar
Moodie, A. R. (2008). Australia: The healthiest country by 2020. Medical Journal of Australia, 189(10), 588590.CrossRefGoogle Scholar
Moynihan, D. P. (2018). A great schism approaching? Towards a micro and macro public administration: Towards a micro and macro public administration. Journal of Behavioral Public Administration, 1(1). https://doi.org/10.30636/jbpa.11.15CrossRefGoogle Scholar
Mukherjee, I., & Bali, A. S. (2019). Policy effectiveness and capacity: two sides of the design coin. Policy Design and Practice, 2(2), 103114.CrossRefGoogle Scholar
Mukherjee, I., Coban, M. K., & Bali, A. S. (2021). Policy capacities and effective policy design: A review. Policy Sciences, 54(2), 243268.CrossRefGoogle ScholarPubMed
Mukherjee, I., & Giest, S. (2020). Behavioural insights teams (BITs) and policy change: An exploration of impact, location, and temporality of policy advice. Administration & Society, 52(10), 15381561.CrossRefGoogle Scholar
Mukherjee, I., & Mukherjee, N. (2018). Designing for sustainable outcomes: Espousing behavioural change into co-production programmes. Policy and Society, 37(3), 326346.CrossRefGoogle Scholar
Mumford, M. D. (2000). Managing creative people: Strategies and tactics for innovation. Human Resource Management Review, 10(3), 313351. https://doi.org/10.1016/S1053-4822(99)00043-1CrossRefGoogle Scholar
Nauwelaers, C., & Wintjes, R. (2008). Innovation policy, innovation in policy: Policy learning within and across systems and clusters. In Nauwelaers, C. & Wintjes, R. (Eds.), Innovation Policy in Europe: Measurement and Strategy (pp. 225268). Edward Elgar Publishing.Google Scholar
Nicolini, D., Mengis, J., & Swan, J. (2012). Understanding the role of objects in cross-disciplinary collaboration. Organization Science, 23(3), 612629. https://doi.org/10.1287/orsc.1110.0664CrossRefGoogle Scholar
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 1437. https://doi.org/10.1287/orsc.5.1.14CrossRefGoogle Scholar
NSW Behavioural Insights Unit. (2020). Behavioural insights. www.nsw.gov.au/behavioural-insights-unitGoogle Scholar
OECD (2017). Behavioural insights and public policy: Lessons from around the world. OECD Publishing. https://doi.org/10.1787/9789264270480-enGoogle Scholar
Ohly, S., Sonnentag, S., & Pluntke, F. (2006). Routinization, work characteristics and their relationships with creative and proactive behaviors. Journal of Organizational Behavior, 27(3), 257279. https://doi.org/10.1002/job.376CrossRefGoogle Scholar
Okhuysen, G. A., & Eisenhardt, K. M. (2002). Integrating knowledge in groups: How formal interventions enable flexibility. Organization Science, 13(4), 370386. https://doi.org/10.1287/orsc.13.4.370.2947CrossRefGoogle Scholar
Oliver, A. (2015). Nudging, shoving, and budging: Behavioural economic-informed policy. Public Administration, 93(3), 700714.CrossRefGoogle Scholar
Ostrom, E. (2000). Collective action and the evolution of social norms. Journal of Economic Perspectives, 14(3), 137158.CrossRefGoogle Scholar
Pal, L. A. (1992). Public policy analysis: An introduction. Nelson Education Canada.Google Scholar
Penrose, E. T. (1959). The theory of the growth of the firm. John Wiley.Google Scholar
Penrose, E., & Penrose, E. T. (2009). The theory of the growth of the firm. Oxford University Press.Google Scholar
Pershina, R., Soppe, B., & Thune, T. M. (2019). Bridging analog and digital expertise: Cross-domain collaboration and boundary-spanning tools in the creation of digital innovation. Research Policy, 48(9), 103819. https://doi.org/10.1016/j.respol.2019.103819CrossRefGoogle Scholar
Peters, B. G., Capano, G., Howlett, M., et al. (2018). Designing for policy effectiveness: Defining and understanding a concept. Cambridge University Press.CrossRefGoogle Scholar
Pichlak, M. (2016). The innovation adoption process: A multidimensional approach. Journal of Management & Organization, 22(4), 476494. https://doi.org/10.1017/jmo.2015.52CrossRefGoogle Scholar
Pichlak, M., & Bratnicki, M. (2011). The role of leadership in product innovation. Management, 15(1), 2538.Google Scholar
Pierce, J. L., & Delbecq, A. L. (1977). Organization structure, individual attitudes and innovation. The Academy of Management Review, 2(1), 2737. https://doi.org/10.2307/257602CrossRefGoogle Scholar
Prajogo, D., & McDermott, C. M. (2014). Antecedents of service innovation in SMEs: Comparing the effects of external and internal factors. Journal of Small Business Management, 52(3), 521540. https://doi.org/10.1111/jsbm.12047CrossRefGoogle Scholar
Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467484. https://doi.org/10.1016/S0305-0483(98)00071-1CrossRefGoogle Scholar
Public Service Division. (2014). Policy making tip: Nudge, not hove. Challenge.Google Scholar
Rafiq, S., Salim, R., & Nielsen, I. (2016). Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies. Energy Economics, 56, 2028.CrossRefGoogle Scholar
Rangone, N. (2018). Making law effective: Behavioural insights into compliance. European Journal of Risk Regulation, 9(3), 483501.CrossRefGoogle Scholar
Ravasi, D., & Verona, G. (2001). Organising the process of knowledge integration: The benefits of structural ambiguity. Scandinavian Journal of Management, 17(1), 4166. https://doi.org/10.1016/S0956-5221(00)00032-4CrossRefGoogle Scholar
Rawat, S. (2019). A bibliometric analysis of behavioural studies in economics and public policy journals. In Straßheim, H. & Beck, S. (Eds.), Handbook of behavioural change and public policy (pp. 4962). Edward Elgar Publishing.Google Scholar
Richardson, L., & John, P. (2021). Co-designing behavioural public policy: Lessons from the field about how to ‘nudge plus’. Evidence & Policy, 17(3), 405422.CrossRefGoogle Scholar
Roberts, E. B. (1988). What we’ve learned: Managing invention and innovation. Research-Technology Management, 31(1), 1129. https://doi.org/10.1080/08956308.1988.11670497CrossRefGoogle Scholar
Rogers, E. M. (1995). Diffusion of innovations: Modifications of a model for telecommunications. In Stoetzer, M.-W. & Mahler, A. (Eds.), Die Diffusion von Innovationen in der Telekommunikation (pp. 2538). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-79868-9_2CrossRefGoogle Scholar
Rose, N. (1998). Inventing our selves: Psychology, power, and personhood. Cambridge University Press.Google Scholar
Ruggeri, K. (2018). Behavioral insights for public policy: Concepts and cases. Routledge.CrossRefGoogle Scholar
Saguin, K., Ramesh, M., & Howlett, M. (2018). Policy work and capacities in a developing country: Evidence from the Philippines. Asia Pacific Journal of Public Administration, 40(1), 122.CrossRefGoogle Scholar
Salamon, L. M. (2000). The new governance and the tools of public action: An introduction. Fordham Urban Law Journal, 28(5), 16111674.Google Scholar
Schneider, A., & Ingram, H. (1990). Behavioral assumptions of policy tools. The Journal of Politics, 52(2), 510529.CrossRefGoogle Scholar
Scopelliti, I., Cillo, P., Busacca, B., & Mazursky, D. (2014). How do financial constraints affect creativity? Creativity under financial constraints. Journal of Product Innovation Management, 31(5), 880893. https://doi.org/10.1111/jpim.12129CrossRefGoogle Scholar
Seawright, J., & Gerring, J. (2008). Case selection techniques in case study research: A menu of qualitative and quantitative options. Political Research Quarterly, 61(2), 294308.CrossRefGoogle Scholar
Serafica, P. (n.d.). Behavior change communication: If you build it, they may not come. Asian Development Blog. Retrieved 23 May 2023, from https://blogs.adb.org/blog/behavior-change-communication-if-you-build-it-they-may-not-comeGoogle Scholar
Sewerin, S., Cashore, B., & Howlett, M. (2022). New pathways to paradigm change in public policy: Combining insights from policy design, mix and feedback. Policy & Politics, 50(3), 442459.CrossRefGoogle Scholar
Shafir, E. (2013). The behavioral foundations of public policy. Princeton University Press.CrossRefGoogle Scholar
Sidney, M. S. (2007). Policy formulation: design and tools. In Fischer, F., Miller, G. J., & Sidney, M. S. (Eds.), Handbook of public policy analysis: Theory, politics and methods (pp. 7987). CRC Taylor & Francis.Google Scholar
Simonton, D. K. (1988). Creativity, leadership, and chance. In Sternberg, R. J. (Ed.), The Nature of Creativity: Contemporary Psychological Perspectives(pp. 386426). Cambridge University Press.Google Scholar
Soon, K. P. (2017). Nudging: Why, how, what next? Ethos, 17. https://knowledge.csc.gov.sg/ethos-issue-17/nudges-why-how-what-next/Google Scholar
Sørensen, E., & Torfing, J. (2011). Enhancing collaborative innovation in the public sector. Administration & Society, 43(8), 842868. https://doi.org/10.1177/0095399711418768CrossRefGoogle Scholar
Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and boundary objects: Amateurs and professionals in Berkeley’s Museum of Vertebrate Zoology, 1907–39. Social Studies of Science, 19(3), 387420. https://doi.org/10.1177/030631289019003001CrossRefGoogle Scholar
Steg, L., Bolderdijk, J. W., Keizer, K., & Perlaviciute, G. (2014). An integrated framework for encouraging pro-environmental behaviour: The role of values, situational factors and goals. Journal of Environmental Psychology, 38, 104115.CrossRefGoogle Scholar
Straßheim, H. (2020). The rise and spread of behavioral public policy: An opportunity for critical research and self-reflection. International Review of Public Policy, 2(1), 115128.CrossRefGoogle Scholar
Straßheim, H. (2021). Who are behavioural public policy experts and how are they organised globally? Policy & Politics, 49(1), 6986.CrossRefGoogle Scholar
Straßheim, H., & Beck, S. (Eds.). (2019). Handbook of behavioural change and public policy. Edward Elgar Publishing.CrossRefGoogle Scholar
Teece, D. J. (1992). Competition, cooperation, and innovation: Organizational arrangements for regimes of rapid technological progress. Journal of Economic Behavior & Organization, 18(1), 125.CrossRefGoogle Scholar
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z3.0.CO;2-Z>CrossRefGoogle Scholar
Thaler, R. H., & Sunstein, C. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin.Google Scholar
Thierer, A. (2016). Failing better: What we learn by confronting risk and uncertainty. In S. Abdukadirov (Ed.), Nudge theory in action: Behavioral design in policy and markets (pp. 65–94). Palgrave Macmillan.Google Scholar
van Roekel, H., Giurge, L. M., Schott, C., & Tummers, L. (2023). Nudges can be both autonomy-preserving and effective: evidence from a survey and quasi-field experiment. Behavioural Public Policy, 124.CrossRefGoogle Scholar
Van Ryzin, G. G. (2021). Nudging and muddling through. Perspectives on Public Management and Governance, 4(4), 339345.CrossRefGoogle Scholar
Walker, R. M., Jeanes, E. L., & Rowlands, R. O. (2001). Managing public services innovation. Policy Press.Google Scholar
Wan, C., Shen, G. Q., & Yu, A. (2015). Key determinants of willingness to support policy measures on recycling: A case study in Hong Kong. Environmental Science & Policy, 54, 409418.CrossRefGoogle Scholar
Wang, C. L., & Ahmed, P. K. (2007). Dynamic capabilities: A review and research agenda. International Journal of Management Reviews, 9(1), 3151. https://doi.org/10.1111/j.1468-2370.2007.00201.xCrossRefGoogle Scholar
Ward, V., House, A., & Hamer, S. (2009). Knowledge brokering: The missing link in the evidence to action chain? Evidence & Policy, 5(3), 267279. https://doi.org/10.1332/174426409X463811CrossRefGoogle ScholarPubMed
Whitehead, M., Jones, R., Lilley, R., et al. (2017). Neuroliberalism: Behavioural government in the twenty-first century. Routledge.CrossRefGoogle Scholar
Weible, C. M. (2018). Instrument constituencies and the advocacy coalition framework: An essay on the comparisons, opportunities, and intersections. Policy and Society, 37(1), 5973.CrossRefGoogle Scholar
World Bank. (2014). World development report 2015: Mind, society, and behavior. The World Bank.Google Scholar
World Bank. (2019). Behavioral science around the world: Profiles of 10 countries (English). eMBeD brief. sWorld Bank Group.Google Scholar
Wu, X., Ramesh, M., & Howlett, M. (2015). Policy capacity: A conceptual framework for understanding policy competences and capabilities. Policy and Society, 34(3–4), 165171. https://doi.org/10.1016/j.polsoc.2015.09.001CrossRefGoogle Scholar
Yew, L. K. (2012). From third world to first: The Singapore story, 1965–2000. Marshall Cavendish International Asia Pte Ltd.Google Scholar
Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations. Wiley.Google Scholar

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