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Volume 23, Issue 2
  • ISSN: 1474-2748
  • E-ISSN: 2040-0551

Abstract

As the second-largest city in Iran, Mashhad has a rich history in the gold industry. Mashhad’s gold and jewellery innovation ecosystem (MGJIE) is now at a stage of decline, and renewal or sharp decline cycles lie ahead. This article explores these two scenarios and their implications for the innovation ecosystems of this industry. The first objective is to imagine the future of the MGJIE using a normative approach and formulate policies to realize an optimistic future. The second objective is to investigate the pessimistic scenario and its implications for the ecosystem. The normative scenarios are created for a 2032 horizon using the back casting method. With regard to the second objective, the exploratory approach is used for the 2047 horizon. In both objectives, 46 questionnaires and fifteen interviews are used. In the normative scenario, nine drivers are identified. In the exploratory approach, three scenarios are formulated, while in the last scenario, with the occurrence of four steps of the renewal plan, improving the performance of the ecosystem is guaranteed. Innovation is a by-product of scenario thinking. The combined application of innovation ecosystem and scenario planning in the jewellery industry has not previously been the focus of research in Iran or other countries.

Funding
This study was supported by the:
  • Ferdowsi University of Mashhad (Award FUM-14002794075)
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/content/journals/10.1386/tmsd_00089_1
2024-08-27
2026-04-16

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References

  1. Abou Jaoude, G., Mumm, O. and Carlow, V. M. (2022), ‘An overview of scenario approaches: A guide for urban design and planning’, Journal of Planning Literature, 37:3, pp. 46787, https://doi.org/10.1177/08854122221083546.
    [Google Scholar]
  2. Adner, R. (2006), ‘Match your innovation strategy to your innovation ecosystem’, Harvard Business Review, 84:4, pp. 98107, p. 148.
    [Google Scholar]
  3. Amer, M., Daim, T. U. and Jetter, A. (2013), ‘A review of scenario planning’, Futures, 46, pp. 2340, https://doi.org/10.1016/j.futures.2012.10.003.
    [Google Scholar]
  4. Amitrano, C. C., Tregua, M., Russo Spena, T. and Bifulco, F. (2018), ‘On technology in innovation systems and innovation-ecosystem perspectives: A cross-linking analysis’, Sustainability, 10:10, https://doi.org/10.3390/su10103744.
    [Google Scholar]
  5. Avin, U. (2007), ‘Using scenarios to make urban plans’, in Engaging the Future: Forecasts, Scenarios, Plans, and Projects, Cambridge, MA: Lincoln Institute of Land Policy, pp. 10334.
    [Google Scholar]
  6. Bonnot, M. J. and Walker, C. W. (2017), ‘The vision process: Seven steps to a better organization’, L100 Developing Leaders and Organizations, 8:4, pp. 5765, https://thesimonscenter.org/wp-content/uploads/2017/11/IAJ-8-4-2017-pg57-65.pdf. Accessed 19 July 2024.
    [Google Scholar]
  7. Börjeson, L., Höjer, M., Dreborg, K. H., Ekvall, T. and Finnveden, G. (2006), ‘Scenario types and techniques: Towards a user’s guide’, Futures, 38:7, pp. 72339, https://doi.org/10.1016/j.futures.2005.12.002.
    [Google Scholar]
  8. Boyer, J. (2020), ‘Toward an evolutionary and sustainability perspective of the innovation ecosystem: Revisiting the panarchy model’, Sustainability, 12:8, https://doi.org/10.3390/su12083232.
    [Google Scholar]
  9. Bradfield, R., Wright, G., Burt, G., Cairns, G. and Van Der Heijden, K. (2005), ‘The origins and evolution of scenario techniques in long range business planning’, Futures, 37:8, pp. 795812, https://doi.org/10.1016/j.futures.2005.01.003.
    [Google Scholar]
  10. Brands, C., Wulf, T. and Meissner, P. (2013), ‘Six tools for scenario-based strategic planning and their application’, in B. Schwenker and T. Wulf (eds), Scenario-Based Strategic Planning: Developing Strategies in an Uncertain World, Wiesbaden: Springer, pp. 69152.
    [Google Scholar]
  11. Brauers, J. and Weber, M. (1988), ‘A new method of scenario analysis for strategic planning’, Journal of Forecasting, 7:1, pp. 3147, https://doi.org/10.1002/for.3980070104.
    [Google Scholar]
  12. Cai, Y. and Etzkowitz, H. (2020), ‘Theorizing the triple helix model: Past, present, and future’, Triple Helix, 7:2–3, pp. 138, https://doi.org/10.1163/21971927-bja10003.
    [Google Scholar]
  13. Canh, N. T., Liem, N. T., Thu, P. A. and Khuong, N. V. (2019), ‘The impact of innovation on the firm performance and corporate social responsibility of Vietnamese manufacturing firms’, Sustainability, 11:13, https://doi.org/10.3390/su11133666.
    [Google Scholar]
  14. Chakraborty, A., Kaza, N., Knaap, G. J. and Deal, B. (2011), ‘Robust plans and contingent plans: Scenario planning for an uncertain world’, Journal of the American Planning Association, 77:3, pp. 25166, https://doi.org/10.1080/01944363.2011.582394.
    [Google Scholar]
  15. Chambers, I., Costanza, R., Zingus, L., Cork, S., Hernandez, M., Sofiullah, A., Htwe, T. Z., Kenny, D., Atkins, P., Kasser, T. and Kubiszewski, I. (2019), ‘A public opinion survey of four future scenarios for Australia in 2050’, Futures, 107, pp. 11932, https://doi.org/10.1016/j.futures.2018.12.002.
    [Google Scholar]
  16. Cheah, S. L. Y., Ho, Y. P. and Li, S. (2021), ‘Search strategy, innovation and financial performance of firms in process industries’, Technovation, 105, https://doi.org/10.1016/j.technovation.2021.102257.
    [Google Scholar]
  17. Chermack, T. J., Lynham, S. A. and Ruona, W. E. (2001), ‘A review of scenario planning literature’, Futures Research Quarterly, 17:2, pp. 732, https://doi.org/10.13140/RG.2.2.12629.24802.
    [Google Scholar]
  18. Datta, S. and Adesola, S. (2018), ‘Special issue: Universities in the innovation triad’, International Journal of Technology Management and Sustainable Development, 17:3, pp. 197202, https://doi.org/10.1386/tmsd.17.3.197_2.
    [Google Scholar]
  19. Datta, S., Saad, M. and Sarpong, D. (2019), ‘National systems of innovation, innovation niches, and diversity in university systems’, Technological Forecasting and Social Change, 143, pp. 2736, https://doi.org/10.1016/j.techfore.2019.02.005.
    [Google Scholar]
  20. De Clercq, D., Thongpapanl, N. and Dimov, D. (2011), ‘The moderating role of organizational context on the relationship between innovation and firm performance’, IEEE Transactions on Engineering Management, 58:3, pp. 43144, https://doi.org/10.1109/TEM.2010.2048911.
    [Google Scholar]
  21. Dedehayir, O. and Seppänen, M. (2015), ‘Birth and expansion of innovation ecosystems: A case study of copper production’, Journal of Technology Management & Innovation, 10:2, pp. 14554, https://doi.org/10.4067/S0718-27242015000200010.
    [Google Scholar]
  22. De Fuentes, C., Dutrenit, G., Santiago, F. and Gras, N. (2015), ‘Determinants of innovation and productivity in the service sector in Mexico’, Emerging Markets Finance and Trade, 51:3, pp. 57892, https://doi.org/10.1080/1540496X.2015.1026693.
    [Google Scholar]
  23. Derbyshire, J. and Wright, G. (2017), ‘Augmenting the intuitive logics scenario planning method for a more comprehensive analysis of causation’, International Journal of Forecasting, 33:1, pp. 25466, https://doi.org/10.1016/j.ijforecast.2016.01.00.
    [Google Scholar]
  24. Dias Sant’Ana, T., de Souza Bermejo, P. H., Moreira, M. F. and de Souza, W. V. B. (2020), ‘The structure of an innovation ecosystem: Foundations for future research’, Management Decision, 58:12, pp. 272542, https://doi.org/10.1108/MD-03-2019-0383.
    [Google Scholar]
  25. Durance, P. and Godet, M. (2010), ‘Scenario building: Uses and abuses’, Technological Forecasting and Social Change, 77:9, pp. 148892, https://doi.org/10.1016/j.techfore.2010.06.007.
    [Google Scholar]
  26. Edgar, G. and Kharazmi, O. A. (2022), ‘Generating transition policy scenarios for university–industry collaboration in Iran using systems thinking’, International Journal of Technology Management & Sustainable Development, 21:3, pp. 25586, https://doi.org/10.1386/tmsd_00059_1.
    [Google Scholar]
  27. Etzkowitz, H. (2003), ‘Innovation in innovation: The triple helix of university–industry–government relations’, Social Science Information, 42:3, pp. 293337, https://doi.org/10.1177/05390184030423002.
    [Google Scholar]
  28. Etzkowitz, H. and Klofsten, M. (2005), ‘The innovating region: Toward a theory of knowledge-based regional development’, R&D Management, 35:3, pp. 24355, https://doi.org/10.1111/j.1467-9310.2005.00387.x.
    [Google Scholar]
  29. Faissal Bassis, N. and Armellini, F. (2018), ‘Systems of innovation and innovation ecosystems: A literature review in search of complementarities’, Journal of Evolutionary Economics, 28:5, pp. 105380, https://doi.org/10.1007/s00191-018-0600-6.
    [Google Scholar]
  30. Feng, N., Fu, C., Wei, F., Peng, Z., Zhang, Q. and Zhang, K. H. (2019), ‘The key role of dynamic capabilities in the evolutionary process for a startup to develop into an innovation ecosystem leader: An indepth case study’, Journal of Engineering and Technology Management, 54, pp. 8196, https://doi.org/10.1016/j.jengtecman.2019.11.002.
    [Google Scholar]
  31. Ferasso, M., Takahashi, A. R. W. and Gimenez, F. A. P. (2018), ‘Innovation ecosystems: A meta-synthesis’, International Journal of Innovation Science, 10:4, pp. 495518, https://doi.org/10.1108/IJIS-07-2017-0059.
    [Google Scholar]
  32. Florea, D. L. (2015), ‘The relationship between branding and diffusion of innovation: A systematic review’, Procedia Economics and Finance, 23, pp. 152734, https://doi.org/10.1016/S2212-5671(15)00407-4.
    [Google Scholar]
  33. Franco, L. A., Meadows, M. and Armstrong, S. J. (2013), ‘Exploring individual differences in scenario planning workshops: A cognitive style framework’, Technological Forecasting and Social Change, 80:4, pp. 72334, https://doi.org/10.1016/j.techfore.2012.02.008.
    [Google Scholar]
  34. Gan, J., Qi, Y. and Tian, C. (2019), ‘The construction and evolution of technological innovation ecosystem of Chinese firms: A case study of LCD technology of CEC Panda’, Sustainability, 11:22, https://doi.org/10.3390/su11226373.
    [Google Scholar]
  35. Ghazinoory, S., Sarkissian, A., Farhanchi, M. and Saghafi, F. (2020), ‘Renewing a dysfunctional innovation ecosystem: The case of the Lalejin ceramics and pottery’, Technovation, 96&97, https://doi.org/10.1016/j.technovation.2020.102122.
    [Google Scholar]
  36. Godet, M. (2000), ‘The art of scenarios and strategic planning: Tools and pitfalls’, Technological Forecasting and Social Change, 65:1, pp. 322, https://doi.org/10.1016/S0040-1625(99)00120-1.
    [Google Scholar]
  37. Granstrand, O. and Holgersson, M. (2020), ‘Innovation ecosystems: A conceptual review and a new definition’, Technovation, 90&91, https://doi.org/10.1016/j.technovation.2019.102098.
    [Google Scholar]
  38. Hage, J., Mote, J. E. and Jordan, G. B. (2013), ‘Ideas, innovations, and networks: A new policy model based on the evolution of knowledge’, Policy Sciences, 46:2, pp. 199216, https://doi.org/10.1007/s11077-012-9172-8.
    [Google Scholar]
  39. Hamann, M., Biggs, R., Pereira, L., Preiser, R., Hichert, T., Blanchard, R., Warrington-Coetzee, H., King, N., Merrie, A., Nilsson, W., Odendaal, P., Poskitt, S., Sanchez Betancourt, D. and Ziervogel, G. (2020), ‘Scenarios of good Anthropocenes in southern Africa’, Futures, 118, https://doi.org/10.1016/j.futures.2020.102526.
    [Google Scholar]
  40. Hamilton, H., Henry, R., Rounsevell, M., Moran, D., Cossar, F., Allen, K., Boden, L. and Alexander, P. (2020), ‘Exploring global food system shocks, scenarios and outcomes’, Futures, 123, https://doi.org/10.1016/j.futures.2020.102601.
    [Google Scholar]
  41. Han, J., Lowik, S. and de Weerd-Nederhof, P. (2017), ‘Uncovering the conceptual boundaries of the ecosystems: Origins, evolution and future directions’, University of Twente, https://research.utwente.nl/en/publications/uncovering-the-conceptual-boundaries-of-the-ecosystems-origins-ev. Accessed 19 July 2024.
    [Google Scholar]
  42. Hay, B. and Yeoman, I. (2005), ‘Turning scenarios into a strategy map: Our ambition for Scottish tourism’, Journal of Vacation Marketing, 11:1, pp. 89102, https://doi.org/10.1177/1356766705050845.
    [Google Scholar]
  43. Hogan, S. J. and Coote, L. V. (2014), ‘Organizational culture, innovation, and performance: A test of Schein’s model’, Journal of Business Research, 67:8, pp. 160921, https://doi.org/10.1016/j.jbusres.2013.09.007.
    [Google Scholar]
  44. Huang, X., Ma, L., Li, R. and Liu, Z. (2020), ‘Determinants of innovation ecosystem in underdeveloped areas: Take nanning high-tech zone in western China as an example’, Journal of Open Innovation: Technology, Market, and Complexity, 6:4, https://doi.org/10.3390/joitmc6040135.
    [Google Scholar]
  45. Huss, W. R. and Honton, E. J. (1987), ‘Scenario planning: What style should you use?’, Long Range Planning, 20:4, pp. 2129.
    [Google Scholar]
  46. Inzelt, A. (2004), ‘The evolution of university–industry–government relationships during transition’, Research Policy, 33:6–7, pp. 97595, https://doi.org/10.1016/j.respol.2004.03.002.
    [Google Scholar]
  47. Ji, S. H. and Ahn, J. (2019), ‘Scenario-planning method for cost estimation using morphological analysis’, Advances in Civil Engineering, https://doi.org/10.1155/2019/4962653.
    [Google Scholar]
  48. Johansen, I. (2018), ‘Scenario modelling with morphological analysis’, Technological Forecasting and Social Change, 126, pp. 11625, https://doi.org/10.1016/j.techfore.2017.05.016.
    [Google Scholar]
  49. Johnston, R. (1998), Technology Foresight: Agriculture and Food Production, New York: STMP.
    [Google Scholar]
  50. Kaplan, R. S., Norton, D. P. and Barrows Jr, E. A. (2008), ‘Developing the strategy: Vision, value gaps, and analysis’, Balanced Scorecard Report, 10:1, pp. 15.
    [Google Scholar]
  51. Keeler, L. W. and Bernstein, M. J. (2021), ‘The future of aging in smart environments: Four scenarios of the United States in 2050’, Futures, 133, https://doi.org/10.1016/j.futures.2021.102830.
    [Google Scholar]
  52. Keough, S. M. and Shanahan, K. J. (2008), ‘Scenario planning: Toward a more complete model for practice’, Advances in Developing Human Resources, 10:2, pp. 16678, https://doi.org/10.1177/1523422307313311.
    [Google Scholar]
  53. Kharazmi, O. A. and Shaddel, L. (2023), ‘Evolutionary and structural evaluation of innovation ecosystems with the aim of mapping and increasing performance of Mashhad’s gold and jewelry innovation ecosystem’, Journal of the Knowledge Economy, pp. 131, https://doi.org/10.1007/s13132-023-01426-2.
    [Google Scholar]
  54. Kimatu, J. N. (2016), ‘Evolution of strategic interactions from the triple to quad helix innovation models for sustainable development in the era of globalization’, Journal of Innovation and Entrepreneurship, 5:1, pp. 17, https://doi.org/10.1186/s13731-016-0044-x.
    [Google Scholar]
  55. Konno, N., Nonaka, I. and Ogilvy, J. (2014), ‘Scenario planning: The basics’, World Futures, 70:1, pp. 2843, https://doi.org/10.1080/02604027.2014.875720.
    [Google Scholar]
  56. Letaifa, S. B. (2014), ‘The uneasy transition from supply chains to ecosystems: The value-creation/value-capture dilemma’, Management Decision, 52:2, pp. 27895, https://doi.org/10.1108/MD-06-2013-0329.
    [Google Scholar]
  57. Liu, Z. and Stephens, V. (2019), ‘Exploring innovation ecosystem from the perspective of sustainability: Towards a conceptual framework’, Journal of Open Innovation: Technology, Market, and Complexity, 5:3, https://doi.org/10.3390/joitmc5030048.
    [Google Scholar]
  58. Lyu, M., Han, Y. and Zheng, W. (2013), ‘Evolution of the business ecosystem: A case study of the Walt Disney Company’, in 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering, vol. 2, Washington, DC: IEEE, pp. 47983.
    [Google Scholar]
  59. Mack, N. (2005), Qualitative Research Methods: A Data Collector’s Field Guide, Durham, NC: Family Health International.
    [Google Scholar]
  60. Mahmud, J. (2011), ‘City foresight and development planning case study: Implementation of scenario planning in formulation of the Bulungan Development Plan’, Futures, 43:7, pp. 697706, https://doi.org/10.1016/j.futures.2011.05.011.
    [Google Scholar]
  61. Malecka, A. (2018), ‘Daryā-ye Nur: History and myth of a crown jewel of Iran’, Iranian Studies, 51:1, pp. 6996, https://doi.org/10.1080/00210862.2017.1362952.
    [Google Scholar]
  62. Martelli, V., Chimenti, P. and Nogueira, R. (2020), ‘Future scenarios for the Brazilian electricity sector: PV as a new driving force?’, Futures, 120, https://doi.org/10.1016/j.futures.2020.102555.
    [Google Scholar]
  63. Moore, J. F. (1993), ‘Predators and prey: A new ecology of competition’, Harvard Business Review, 71:3, pp. 7586, https://hbr.org/1993/05/predators-and-prey-a-new-ecology-of-competition. Accessed 19 July 2024.
    [Google Scholar]
  64. Obwegeser, N. and Müller, S. D. (2018), ‘Innovation and public procurement: Terminology, concepts, and applications’, Technovation, 74&75, pp. 117, https://doi.org/10.1016/j.technovation.2018.02.015.
    [Google Scholar]
  65. Oh, D. S., Phillips, F., Park, S. and Lee, E. (2016), ‘Innovation ecosystems: A critical examination’, Technovation, 54, pp. 16, https://doi.org/10.1016/j.technovation.2016.02.004.
    [Google Scholar]
  66. Oksanen, K. and Hautamäki, A. (2014), ‘Transforming regions into innovation ecosystems: A model for renewing local industrial structures’, The Innovation Journal, 19:2, Art. 5, https://innovation.cc/wp-content/uploads/2014_19_2_5_oksanen-hautamaki_eco-innovation.pdf. Accessed 19 July 2024.
    [Google Scholar]
  67. Oliveira, A. S., de Barros, M. D., de Carvalho Pereira, F., Gomes, C. F. S. and Da Costa, H. G. (2018), ‘Prospective scenarios: A literature review on the Scopus database’, Futures, 100, pp. 2033, https://doi.org/10.1016/j.futures.2018.03.005.
    [Google Scholar]
  68. Pelton, J., Brown, M., Reddaway, W., Gilmour, M., Phoon, S., Wolstenholme, A. and Gann, D. (2017), ‘Crossrail project: The evolution of an innovation ecosystem’, in Proceedings of the Institution of Civil Engineers: Civil Engineering, 170:4, pp. 18190, https://doi.org/10.1680/jcien.16.00036.
    [Google Scholar]
  69. Pucci, T., Runfola, A., Guercini, S. and Zanni, L. (2018), ‘The role of actors in interactions between “innovation ecosystems”: Drivers and implications’, IMP Journal, 12:2, pp. 33345, https://doi.org/10.1108/IMP-05-2017-0022.
    [Google Scholar]
  70. Rabelo, R. J., Bernus, P. and Romero, D. (2015), ‘Innovation ecosystems: A collaborative networks perspective’, in Risks and Resilience of Collaborative Networks: 16th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2015, Albi, France, 5–7 October, Proceedings 16, Cham: Springer, pp. 32336.
    [Google Scholar]
  71. Radicic, D., Pugh, G. and Douglas, D. (2020), ‘Promoting cooperation in innovation ecosystems: Evidence from European traditional manufacturing SMEs’, Small Business Economics, 54:1, pp. 25783, https://doi.org/10.1007/s11187-018-0088-3.
    [Google Scholar]
  72. Ramirez, R. and Wilkinson, A. (2014), ‘Rethinking the 2 × 2 scenario method: Grid or frames?’, Technological Forecasting and Social Change, 86, pp. 25464, https://doi.org/10.1016/j.techfore.2013.10.020.
    [Google Scholar]
  73. Rezaei, M., Chaharsooghi, S. K., Kashan, A. H. and Babazadeh, R. (2020), ‘A new approach based on scenario planning and prediction methods for the estimation of gasoil consumption’, International Journal of Environmental Science and Technology, 17, pp. 324150, https://doi.org/10.1007/s13762-019-02583-1.
    [Google Scholar]
  74. Ringland, G. (1998), Scenario Planning, Chichester: John Wiley & Sons.
    [Google Scholar]
  75. Ritala, P. and Almpanopoulou, A. (2017), ‘In defense of “eco” in innovation ecosystem’, Technovation, 60&61, pp. 3942, https://doi.org/10.1016/j.technovation.2017.01.004.
    [Google Scholar]
  76. Rosenbusch, N., Brinckmann, J. and Bausch, A. (2011), ‘Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs’, Journal of Business Venturing, 26:4, pp. 44157, https://doi.org/10.1016/j.jbusvent.2009.12.002.
    [Google Scholar]
  77. Rowland, N. J. and Spaniol, M. J. (2017), ‘Social foundation of scenario planning’, Technological Forecasting and Social Change, 124, pp. 615, https://doi.org/10.1016/j.techfore.2017.02.013.
    [Google Scholar]
  78. Saad, M., Guermat, C. and Boutifour, Z. (2020), ‘The interaction between academia and industry and its impact on national innovation capacity: The case of Algeria’, Industry and Higher Education, 35:5, pp. 57080, https://doi.org/10.1177/0950422220931418.
    [Google Scholar]
  79. Sarpong, D. and Maclean, M. (2011), ‘Scenario thinking: A practice-based approach for the identification of opportunities for innovation’, Futures, 43:10, pp. 115463, https://doi.org/10.1016/j.futures.2011.07.013.
    [Google Scholar]
  80. Schoemaker, P. J. (1993), ‘Multiple scenario development: Its conceptual and behavioral foundation’, Strategic Management Journal, 14:3, pp. 193213.
    [Google Scholar]
  81. Schoemaker, P. J. (1995), ‘Scenario planning: A tool for strategic thinking’, Sloan Management Review, 36:2, pp. 2550.
    [Google Scholar]
  82. Schwab, P., Cerutti, F. and Hélène von Reibnitz, U. (2003), ‘Using scenarios to shape the future of agricultural research’, Foresight, 5:1, pp. 5561, https://doi.org/10.1108/14636680310471299.
    [Google Scholar]
  83. Schwartz, P. (1991), The Art of the Long View: Planning for the Future in an Uncertain World, New York: Currency Press.
    [Google Scholar]
  84. Senge, P. M. (1990), The Art and Practice of the Learning Organization, New York: Doubleday.
    [Google Scholar]
  85. Son, H., Chung, Y. and Yoon, S. (2022), ‘How can university technology holding companies bridge the Valley of Death? Evidence from Korea’, Technovation, 109, https://doi.org/10.1016/j.technovation.2020.102158.
    [Google Scholar]
  86. Song, J. (2016), ‘Innovation ecosystem: Impact of interactive patterns, member location and member heterogeneity on cooperative innovation performance’, Innovation, 18:1, pp. 1329, https://doi.org/10.1080/14479338.2016.1165624.
    [Google Scholar]
  87. Song, Y. (2018), ‘How does the innovation ecosystem influence industry evolution?’, in Academy of Management Proceedings 2018, https://journals.aom.org/doi/abs/10.5465/AMBPP.2018.197. Accessed 19 July 2024.
    [Google Scholar]
  88. Star, J., Rowland, E. L., Black, M. E., Enquist, C. A., Garfin, G., Hoffman, C. H., Hartmann, H., Jacobs, K. L., Moss, R. H. and Waple, A. M. (2016), ‘Supporting adaptation decisions through scenario planning: Enabling the effective use of multiple methods’, Climate Risk Management, 13:3, pp. 8894, https://doi.org/10.1016/j.crm.2016.08.001.
    [Google Scholar]
  89. Stojanovic, M., Mitkovic, P. and Mitkovic, M. (2014), ‘The scenario method in urban planning’, Facta universitatis: Architecture and Civil Engineering, 12:1, pp. 8195, https://doi.org/10.2298/FUACE1401081S.
    [Google Scholar]
  90. Strelkovskii, N., Komendantova, N., Sizov, S. and Rovenskaya, E. (2020), ‘Building plausible futures: Scenario-based strategic planning of industrial development of Kyrgyzstan’, Futures, 124, https://doi.org/10.1016/j.futures.2020.102646.
    [Google Scholar]
  91. Su, Y. S., Zheng, Z. X. and Chen, J. (2018), ‘A multi-platform collaboration innovation ecosystem: The case of China’, Management Decision, 56:1, pp. 12542, https://doi.org/10.1108/MD-04-2017-0386.
    [Google Scholar]
  92. Teece, D. J. (2007), ‘Explicating dynamic capabilities: The nature and micro foundations of (sustainable) enterprise performance’, Strategic Management Journal, 28:13, pp. 131950, https://doi.org/10.1002/smj.640.
    [Google Scholar]
  93. Vanderstoep, S. W. and Johnson, D. D. (2008), Research Methods for Everyday Life: Blending Qualitative and Quantitative Approaches, Chichester: John Wiley & Sons.
    [Google Scholar]
  94. Van der Duin, P. A. and den Hartigh, E. (2013), ‘Keeping the balance: Exploring the link of futures research with innovation and strategy processes’, Foresight for Dynamic Organisations in Unstable Environments, pp. 5776, https://doi.org/10.1080/09537320902750673.
    [Google Scholar]
  95. Vanston Jr, J. H., Frisbie, W. P., Lopreato, S. C. and Boston Jr, D. L. (1977), ‘Alternate scenario planning’, Technological Forecasting and Social Change, 10:2, pp. 15980.
    [Google Scholar]
  96. Varum, C. A., Melo, C., Alvarenga, A. and Carvalho, P. S. D. (2011), ‘Scenarios and possible futures for hospitality and tourism’, Foresight: The Journal of Future Studies, Strategic Thinking and Policy, 13:1, pp. 1935, https://doi.org/10.1108/14636681111109679.
    [Google Scholar]
  97. Wade, B. and Piccinini, T. (2020), ‘Teaching scenario planning in sustainability courses: The creative play method’, Journal of Management Education, 44:6, pp. 699725, https://doi.org/10.1177/1052562920958136.
    [Google Scholar]
  98. Wallner, T. and Menrad, M. (2011), ‘Extending the innovation ecosystem framework’, in K. R. E. Huizingh, S. Conn, M. Torkkeli and I. Bitran (eds), Proceedings of XXII ISPIM Conference, ISPIM, Hamburg, Germania, 15 June, Tallinn, https://www.researchgate.net/profile/Thomas_Wallner3/publication/268006642_Extending_the_Innovation_Ecosystem_Framework/links/546f5d4f0cf2d67fc0310f6f/Extending-the-Innovation-Ecosystem-Framework.pdf. Accessed 19 July 2024.
    [Google Scholar]
  99. West, J. and Bogers, M. (2014), ‘Leveraging external sources of innovation: A review of research on open innovation’, Journal of Product Innovation Management, 31:4, pp. 81431, https://doi.org/10.1111/jpim.12125.
    [Google Scholar]
  100. Wright, G., Bradfield, R. and Cairns, G. (2013), ‘Does the intuitive logics method – and its recent enhancements – produce “effective” scenarios?’, Technological Forecasting and Social Change, 80:4, pp. 63142, https://doi.org/10.1016/j.techfore.2012.09.003.
    [Google Scholar]
  101. Xu, G., Wu, Y., Minshall, T. and Zhou, Y. (2018), ‘Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China’, Technological Forecasting and Social Change, 136, pp. 20821, https://doi.org/10.1016/j.techfore.2017.06.030.
    [Google Scholar]
  102. Yun, J. J. and Liu, Z. (2019), ‘Micro-and macro-dynamics of open innovation with a quadruple-helix model’, Sustainability, 11:12, pp. 330117, https://doi.org/10.3390/su11123301.
    [Google Scholar]
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