[1] D. Acemoglu and P. Restrepo, Artificial intelligence, automation, and work, A. Agrawal, J. Gans and A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda, University of Chicago Press, 2018, pp. 197–236.

[2] African Union, The digital transformation strategy for Africa (2020–30), www.au.int, 2020.

[3] M. Agbali, C. Trillo, I.A. Ibrahim, Y. Arayici, and T. Fernando, Are smart innovation ecosystems really seeking to meet citizens’ needs? Insights from the stakeholders’ vision on smart city strategy implementation, Smart Cities 2 (2019), no. 2, 307–327.

[4] P. Agrawal, Artificial intelligence in drug discovery and development, J. Pharmaco. 6 (2018), no. 02.

[5] M. Al-Amin, T. Hossain, and J. Islam, The technology development and management of smart manufacturing system: A review on theoretical and technological perspectives, Eur. Sci. J. 17 (2021), no. 43, 170–193.

[6] S. Albukhitan, Developing digital transformation strategy for manufacturing, Proc. Comput. Sci. 170 (2020), 664–671.

[7] S. Alter, The Work System Method: Connecting People, Processes, and IT for Business Results, Work System Method, 2006.

[8] W.A. Ansari, P. Diya, S. Patil, and S. Patil, A review on robotic process automation-the future of business organizations, 2nd Int. Conf. Adv. Sci. Technol., 2019.

[9] M. Arkesteijn, B. Van Merlo and C. Leeuwis, The need for reflexive evaluation approaches in development cooperation, Evaluation 21 (2015), no. 1, 99–115.

[10] A. Asadullah, I. Faik, and A. Kankanhalli, Digital platforms: A review and future directions, 22nd Pacific Asia Conf. Inf. Syst. (PACIS 2018), Yokohama, Japan, Assoc. Inf. Syst., 2018, no. 248.

[11] J. Åström, W. Reim, and V. Parida, Value creation and value capture for AI business model innovation: A three-phase process framework, Rev. Manag. Sci. 16 (2022), no. 7, 2111–2133.

[12] P.-A. Balland, R. Boschma, and K. Frenken, Proximity and innovation networks: An evolutionary approach, Re-framing Regional Development, Routledge, 2013, pp. 186–200.

[13] C. Bason and A. Schneider, Global Trends in Design, C. Bason, (ed.) Design for policy, Farnham: Gower Ashgate, 2014.

[14] C. Beaudoin, S. Joncoux, J.-F. Jasmin, A. Berberi, C. McPhee, R.S. Schillo, and V.M. Nguyen, A research agenda for evaluating living labs as an open innovation model for environmental and agricultural sustainability, Envir. Challenge. 7 (2022), p. 100505.

[15] G.B. Benitez, N.F. Ayala, and A.G. Frank, Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation, Int. J. Prod. Econ. 228 (2020), 107735.

[16] A. Bharadwaj, O.A. El Sawy, P.A. Pavlou, and N.V. Venkatraman, Digital business strategy: toward a next generation of insights, MIS Quart. 37 (2013), no. 2, 471–482.

[17] S.E. Bibri and J. Krogstie, The emerging data-driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona, Energy Inf. 3 (2020), 1–42.

[18] P.M. Bican and A. Brem, Digital business model, digital transformation, digital entrepreneurship: Is there a sustainable “digital”?, Sustainability 12 (2020), no. 13, p. 5239.

[19] L. Bloom and R. Faulkner, Innovation spaces: lessons from the United Nations, Third World Quart. 37 (2016), no. 8, 1371–1387.

[20] M. Bogers, H. Chesbrough, and C. Moedas, Open innovation: Research, practices, and policies, California Manag. Rev. 60 (2018), no. 2, 5–16.

[21] M. Bogers, R. Hadar, and A. Bilberg, Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing, Technol. Forecast. Soc. Change 102 (2016), 225–239.

[22] A. Booth, M. Clarke, D. Ghersi, D. Moler, M. Petticrew, and L. Stewart, An international registry of systematic-review protocols, Lancet 377 (2011), no. 9760, 108–109.

[23] R.B. Bouncken, S. Kraus, and N. Roig-Tierno, Knowledge-and innovation-based business models for future growth: Digitalized business models and portfolio considerations, Rev. Manag. Sci. 15 (2021), no. 1, 1–14.

[24] H. Brüdigese, A divergent view of the impact of digital transformation on academic organizational and spending efficiency: A review and analytical study on a university E-service, Sustainability 13 (2021), no. 13, p. 7048.

[25] J. Brown, T. Gosling, B. Sethi, B. Sheppard, C. Stubbings, J. Sviokla, J. Williams, D. Zarubina, and L. Fisher, Workforce of the Future: The Competing Forces Shaping 2030, London, PWC, 2017.

[26] R.S. Burt, Bridge decay, Soc. Networks 24 (2002), no. 4, 333–363.

[27] J. Buvat, B. Gilchriest, E. Turkington, S. KVJ, and A. Ghosh, The Discipline of Innovation: Making Sure Your Innovation Center Aktually Makes Your Organization More Innovative, Digital Transformation Institute, 2017.

[28] Capgemini Digital Transformation Institute, The Digital Talent Gap: Are Companies Doing Enough?, Capgemini and LinkedIn, 2017.

[29] C. Cautela, P. Pisano, and M. Pironti, The emergence of new networked business models from technology innovation: An analysis of 3-D printing design enterprises*, Int. Entrepr. Manag. J. 10 (2014), 487–501.

[30] C. Cennamo, Competing in digital markets: A platform-based perspective, Acad. Manag. Persp. 35 (2021), no. 2, 265–291.

[31] M. Chen, Education Nation: Six Leading Edges of Innovation in our Schools, John Wiley & Sons, 2010.

[32] C.M. Christensen, The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail, Harvard Business Review Press, 2015.

[33] G. Christian, Predictive coding: Adopting and adapting artificial intelligence in civil litigation, Can. B. Rev. 97 (2019), 486.

[34] F. Ciampi, R. Rialti, and G. Marzi, Artificial intelligence, big data, strategic flexibility, agility, and organizational resilience: A conceptual framework based on existing literature, Int. Conf. WWW/Internet 2018 Appl. Comput., 2018.

[35] M.V. Ciasullo, M. Calabrese, and A. La Sala, Surfing across industrial revolutions: a resilient sensemaking perspective on innovation, Glob. Bus. Org. Excell. 43 (2024), no. 2, 27–42.

[36] R.F. Ciriello, A. Richter, and G. Schwabe, Digital innovation, Bus. Inf. Syst. Eng. 60 (2018), 563–569.

[37] J. Clark, Manufacturing by design: the rise of regional intermediaries and the re-emergence of collective action, Cambridge J. Reg. Econ. Soc. 7 (2014), no. 3, 433–448.

[38] M. Coccia, Artificial intelligence technology in cancer imaging: Clinical challenges for detection of lung and breast cancer, J. Soc. Admin. Sci. 6 (2019), no. 2, 82–98.

[39] M. Coccia, Technological innovation, Innovations 11 (2021), I12.

[40] A. Corre and G. Mischke, The Innovation Game: A New Approach to Innovation Management and R&D, Springer Science & Business Media, 2005.

[41] A. Coşkun-Seitrek and Z. Tanrıkulu, Digital innovations-driven business model regeneration: A process model, Technol. Soc. 64 (2021), 101461.

[42] M.S. Dahl and C.O. Pedersen, Knowledge flows through informal contacts in industrial clusters: myth or reality?, Res. Policy 33 (2004), no. 10, 1673–1686.

[43] V. Desai and B. Vidyapeeth, Digital marketing: A review, Int. J. Trend Sci. Res. Dev. 5 (2019), no. 5, 196–200.

[44] M. De Silva and M. Wright, Entrepreneurial co-creation: societal impact through open innovation, R&D Manag. 49 (2019), no. 3, 318–342.

[45] P. D’Este, S. Iammarino, M. Savona and N. Von Tunzelmann, What hampers innovation? Revealed barriers versus deterring barriers, Res. Policy 41 (2012), no. 2, 482–488.

[46] R. Dorschel, Discovering needs for digital capitalism: The hybrid profession of data science, Big Data Soc. 8 (2021), no. 2, 20539517211040760.

[47] N.D. Du Preez and L. Louw, A framework for managing the innovation process, PICMET’08-2008 Portland Int. Conf. Manag. Engin. Technol., IEEE, 2008, pp. 546–558.

[48] B. Evans and S.M. Cheng, Canadian government policy innovation labs: An experimental turn in policy work?, Canad. Public Admin. 64 (2021), no. 4, 587–610.

[49] A. Eyring, N. Hoyt, J. Tenny, R. Domike, and Y. Hovanski, Analysis of a closed-loop digital twin using discrete event simulation, Int. J. Adv. Manufactur. Technol. 123 (2022), no. 1–2, 245–258.

[50] I. Fazey, N. Schäpke, G. Caniglia, A. Hodgson, I. Kendrick, C. Lyon, G. Page, J. Patterson, C. Riedy, and T. Strasser, Transforming knowledge systems for life on Earth: Visions of future systems and how to get there, Energy Res. Soc. Sci. 70 (2020), 101724.

[51] F. Fecher, J. Winding, K. Hutter, and J. Fuller, Innovation labs from a participants’ perspective, J. Bus. Res. 110 (2020), 567–576.

[52] R.G. Fichman, B.L. Dos Santos, and Z. Zheng, Digital innovation as a fundamental and powerful concept in the information systems curriculum, MIS Quart. 38 (2014), no. 2, 329-A315.

[53] A. Garzoni, I. De Turi, G. Secundo, and P. Del Vecchio, Fostering digital transformation of SMEs: A four levels approach, Manag. Decis. 58 (2020), no. 8, 1543–1562.

[54] R. Gey, L.-P. Meyer, and M. Thieme, A conceptual framework for describing the phenomenon innovation laboratory: A structuralional viewpoint, Proc. XXIII Int. RESER Conf., Aix en Provence, France, 2013, pp. 1–17.

[55] P.M. Gilch and J. Sieweke, Recruiting digital talent: The strategic role of recruitment in organisations’ digital transformation, German J. Human Resource Manag. 35 (2021), no. 1, 53–82.

[56] A. Goldfarb and D. Trefler, Artificial intelligence and international trade, A. Agrawal, J. Gans and A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda, Chicago: University of Chicago Press, 2019, pp. 463–492.

[57] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016.

[58] A. Grguric, E. Vlačić, and N. Drvenkar, Assessing firms’competitiveness and technological advancement by applying artificial intelligence as a differentiation strategy-a proposed conceptual model, M. Milkovic, K. Hammes and O. Bakhtina (Eds.), Economic and social development: Book of proceedings, Varazdin Development and Entrepreneurship Agency, 2020, pp. 43–61.

[59] L. Guo and L. Xu, The effects of digital transformation on firm performance: Evidence from China’s manufacturing sector, Sustainability 13 (2021), no. 22, p. 12844.

[60] M. Haenlein and A. Kaplan, A brief history of artificial intelligence: On the past, present, and future of artificial intelligence, California Manag. Rev. 61 (2019), no. 4, 5–14.

[61] L.A. Hall and S. Bagchi-Sen, A study of R&D, innovation, and business performance in the Canadian biotechnology industry, Technovation 22 (2002), no. 4, 231–244.

[62] S.Y. Han and S.J. Bae, Internalization of R&D outsourcing: An empirical study, Int. J. Prod. Econ. 150 (2014), 58–73.

[63] J. Han, I. Bose, N. Hu, B. Qi, and G. Tian, Does director interlock impact corporate R&D investment?, Decis. Support Syst. 71 (2015), 28–36.

[64] A. Hanelt, R. Bohnsack, D. Marz, and C. Antunes Marante, A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change, J. Manag. Stud. 58 (2021), no. 5, 1159–1197.

[65] A. Harraf, I. Wanasika, K. Tate, and K. Talbott, Organizational agility, J. Appl. Bus. Res. 31 (2015), no. 2, 675–686.

[66] R. Harris, A. Krenz, and J. Moffat, The effects of absorptive capacity on innovation performance: A cross-country perspective, J. Common Market Stud. 59 (2021), no. 3, 589–607.

[67] T.K. Hazra and B. Unhelkar, Enterprise Architecture for Digital Business: Integrated Transformation Strategies, CRC Press, 2020.

[68] O. Henfridsson, J. Nandhakumar, H. Scarbrough, and N. Panourgias, Recombination in the open-ended value landscape of digital innovation, Inf. Org. 28 (2018), no. 2, 89–100.

[69] S. Hielscher and A. Smith, Community-based digital fabrication workshops: A review of the research literature, SWPS 2014-08, Available at SSRN: https://ssrn.com/abstract=2742121, (2014).

[70] D. Horvat, H. Kroll, and A. Jäger, Researching the effects of automation and digitalization on manufacturing companies’ productivity in the early stage of industry 4.0, Procedia Manufactur. 39 (2019), 886–893.

[71] L. Ivancic, V.B. Vuksic, and M. Spremic, Mastering the digital transformation process: Business practices and lessons learned, Technol. Innov. Manag. Rev. 9 (2019), no. 2.

[72] J.-S.R. Jang, Fuzzy modeling using generalized neural networks and Kalman filter algorithm, Proc. Ninth Nat. Conf. Artific. Intel. 2 (1991).

[73] J.-S. Jang, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybernet. 23 (1993), no. 3, 665–685.

[74] R.D. Johnson and K. Diman, An investigation of the factors driving the adoption of cloud-based human resource information systems by small-and medium-sized businesses, T. Bondarouk, H.J.M. Ruel and E. Parry, (Eds.) Electronic HRM in the smart era, Emerald Publishing Limited, 2017, pp. 1–31.

[75] J. Joseph and V. Gaba, Organizational structure, information processing, and decision-making: A retrospective and road map for research, Acad. Manag. Annal. 14 (2020), no. 1, 267–302.

[76] K.D. Joshi, L. Chi, A. Datta, and S. Han, Changing the competitive landscape: Continuous innovation through IT-enabled knowledge capabilities, Inf. Syst. Res. 21 (2010), no. 3, 472–495.

[77] J. Kallinikos, A. Aaltonen, nd A. Marton, The ambivalent ontology of digital artifacts, MIS Quart. 37 (2013), no. 2, 357–370.

[78] D. Karaboga and E. Kaya, Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey, Artif. Intell. Rev. 52 (2019), 2263–2293.

[79] J. Keizer, A. Liang, G. Salokhe, and M. Sini, Towards an infrastructure for knowledge management within European Ethics: Methodologies for semantic integration of heterogeneous resources, FAO, 2005.

[80] T. Komatsu, M. Salgado, A. Deserti, and F. Rizzo, Policy labs challenges in the public sector: The value of design for more responsive organizations, Policy Design Practice 4 (2021), no. 2, 271–291.

[81] M. Kotarba, Digital transformation of business models, Found. Manag. 10 (2018), no. 1, 123–142.

[82] T. Kretschmer and P. Khashabi, Digital transformation and organization design: An integrated approach, California Manag. Rev. 62 (2020), no. 4, 86–104.

[83] C. Lee and L. Ma, The role of policy labs in policy experiment and knowledge transfer: A comparison across the UK, Denmark, and Singapore, J. Compar. Policy Anal.: Res. Practice 22 (2020), no. 4, 281–297.

[84] S. Leminen and M. Westerlund, Categorization of innovation tools in living labs, PhD. Thesis, Laurea University, 2017.

[85] A. Lerro and G. Schiuma, Assessing performance and impact of the technological districts (TDs): General modelling and measurement system, Measur. Bus. Excel. 19 (2015), no. 3, 58–75.

[86] M. Lewis and J. Moultrie, The organizational innovation laboratory, Creat. Innov. Manag. 14 (2005), no. 1, 73–83.

[87] B. Lianto, M. Dachyar, and T.P. Soemardi, Continuous innovation: a literature review and future perspective, Int. J. Adv. Sci. Eng. Inf. Technol. 8 (2018), no. 3, 771–779.

[88] L. Linde, D. Sjödin, V. Parida, and H. Gebauer, Evaluation of digital business model opportunities: A framework for avoiding digitalization traps, Res.-Technol. Manag. 64 (2020), no. 1, 43–53.

[89] R. Linzalone, G. Schiuma, and S. Ammirato, Connecting universities with entrepreneurship through digital learning platform: Functional requirements and education-based knowledge exchange activities, Int. J. Entrepr. Behav. Res. 26 (2020), no. 7, 1525–1545.

[90] J. Liu, H. Chang, J.Y.-L. Forrest, and B. Yang, Influence of artificial intelligence on technological innovation: Evidence from the panel data of China’s manufacturing sectors, Technol. Forecast. Soc. Change 158 (2020), p. 120142.

[91] W. Magadley and K. Birdi, Innovation labs: An examination into the use of physical spaces to enhance organizational creativity, Creat. Innov. Manag. 18 (2009), no. 4, 315–325.

[92] T.J. Marion and S.K. Fixson, The transformation of the innovation process: How digital tools are changing work, collaboration, and organizations in new product development, J. Prod. Innov. Manag. 38 (2021), no. 1, 192–215.

[93] M. McGann, T. Wells, and E. Blomkamp, Innovation labs and co-production in public problem solving, Public Manag. Rev. 23 (2021), no. 2, 297–316.

[94] A.B. Memon, K. Meyer, M. Thieme, and L.-P. Meyer, Inter-InnoLab collaboration: An investigation of the diversity and interconnection among innovation laboratories, J. Eng. Technol. Manag. 47 (2018), 1–21.

[95] M. Meyer, J. Kuusisto, K. Grant, M. De Silva, S. Flowers, and U. Choksy, Towards new triple helix organisations? A comparative study of competence centres as knowledge, consensus and innovation spaces, R&D Manag. 49 (2019), no. 4, 555–573.

[96] C. Møller, ERP II: A conceptual framework for next-generation enterprise systems?, J. Enterpr. Inf. Manag. 18 (2005), no. 4, 483–497.

[97] J. Møller Jensen and T. Hansen, An empirical examination of brand loyalty, J. Prod. Brand Manag. 15 (2006), no. 7, 442–449.

[98] S. Nambisan, Architecture vs. ecosystem perspectives: Reflections on digital innovation, Inf. Org. 28 (2018), no. 2, 104–106.

[99] S. Nambisan, K. Lyytinen, and Y. Yoo, Digital innovation: towards a transdisciplinary perspective, Handbook of digital innovation, Cheltenham, UK: Edward Elgar Publishing, 2020, pp. 2–12.

[100] S. Nambisan, M. Wright, and M. Feldman, The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes, Res. Policy 48 (2019), no. 8, p. 103773.

[101] S. Nascimento, Critical notions of technology and the promises of empowerment in shared machine shops, J. Peer Prod. 5 (2014), 1–4.

[102] M. Nasiri, M. Saunila, J. Ukko, T. Rantala, and H. Rantanen, Shaping digital innovation via digital-related capabilities, Inf. Syst. Front. 25 (2023), no. 3, 1063–1080.

[103] I. Nonaka and H. Takeuchi, The Wise Company: How Companies Create Continuous Innovation, Oxford University Press, 2019.

[104] M. Núñez-Merino, J.M. Maqueira-Marin, J. Moyano-Fuentes, and P.J. Martínez-Jurado, Information and digital technologies of Industry 4.0 and Lean supply chain management: A systematic literature review, Int. J. Prod. Res. 58 (2020), no. 16, 5034–5061.

[105] E. Ofek and M. Sarvary, R&D, marketing, and the success of next-generation products, Market. Sci. 22 (2003), no. 3, 355–370.

[106] D.E. O’Leary, Artificial intelligence and big data, IEEE Intel. Syst. 28 (2013), no. 2, 96–99.

[107] K. Olejniczak, S. Borkowska-Waszak, A. Domaradzka-Widła, and Y. Park, Policy labs: the next frontier of policy design and evaluation?, Policy Politics 48 (2020), no. 1, 89–110.

[108] F. Osorio, L. Dupont, M. Camargo, P. Palominos, J.I. Peña, and M. Alfaro, Design and management of innovation laboratories: Toward a performance assessment tool, Creat. Innov. Manag. 28 (2019), no. 1, 82–100.

[109] A. Osterwalder, Y. Pigneur, G. Bernarda, and A. Smith, Value Proposition Design: How to Create Products and Services Customers Want, John Wiley & Sons, 2015.

[110] N. Pandey, P. Nayal, and A.S. Rathore, Digital marketing for B2B organizations: structured literature review and future research directions, J. Bus. Ind. Market. 35 (2020), no. 7, 1191–1204.

[111] A. Panori, C. Kakderi, N. Komninos, K. Fellnhofer, A. Reid, and L. Mora, Smart systems of innovation for smart places: Challenges in deploying digital platforms for co-creation and data-intelligence, Land Use Policy 111 (2021), 104631.

[112] M. Polk, Achieving the promise of transdisciplinarity: a critical exploration of the relationship between transdisciplinary research and societal problem solving, Sustain. Sci. 9 (2014), 439–451.

[113] A.B. Powell, Open culture and innovation: integrating knowledge across boundaries, Media Culture Soc. 37 (2015), no. 3, 376–393.

[114] H. Preskill and T. Beer, Evaluating Social Innovation, Austrian Platform for Research and Technology Policy Evaluation, 2012.

[115] P. Raja and B. Pahat, A review of training methods of ANFIS for applications in business and economics, Int. J. u-and e-Serv. Sci. Technol. 9 (2016), no. 7, 165–172.

[116] A. Rangaswamy, N. Moch, C. Felten, G. Van Bruggen, J.E. Wieringa, and J. Wirtz, The role of marketing in digital business platforms, J. Interact. Market. 51 (2020), no. 1, 72–90.

[117] M. Ringel, A. Taylor, and H. Zablit, The most innovative companies 2016, BCG reports, https://media-publications.bcg.com/MIC/BCG-Most-Innovative-Companies-2015-Nov-2015.pdf, 2016.

[118] T. Ritter and C.L. Pedersen, Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future, Ind. Market. Manag. 86 (2020), 180–190.

[119] S.J. Russell, Artificial Intelligence: A Modern Approach, Pearson Education, Inc., 2010.

[120] F. Saadatmand, R. Lindgren, and U. Schultze, Configurations of platform organizations: Implications for complementor engagement, Res. Policy 48 (2019), no. 8, p. 103770.

[121] T. Saarikko, U.H. Westergren and T. Blomquist, Digital transformation: Five recommendations for the digitally conscious firm, Bus. Hor. 63 (2020), no. 6, 825–839.

[122] J.-M. Sahut, L. Iandoli, and F. Teulon, The age of digital entrepreneurship, Small Bus. Econ. 56 (2021), 1159–1169.

[123] J. Sandberg, J. Holmström, and K. Lyytinen, Digitization and phase transitions in platform organizing logics: Evidence from the process automation industry, Manag. Inf. Syst. Quart. 44 (2020), no. 1, 129–153.

[124] F. Santarsiero, A. Lerro, D. Carlucci, and G. Schiuma, Modelling and managing innovation lab as catalyst of digital transformation: Theoretical and empirical evidence, Measur. Bus. Excel. 26 (2022), no. 1, 81–92.

[125] O. Schilke, On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism, Strat. Manag. J. 35 (2014), no. 2, 179–203.

[126] G. Schiuma, Managing knowledge for business performance improvement, J. Knowledge Manag. 16 (2012), no. 4, 515–522.

[127] S. Schmidt and V. Brinks, Open creative labs: Spatial settings at the intersection of communities and organizations, Creat. Innov. Manag. 26 (2017), no. 3, 291–299.

[128] S. Schmidt, V. Brinks, and S. Brinkhoff, Innovation and creativity labs in Berlin: Organizing temporary spatial configurations for innovations, Z. Wirtsch. 58 (2014), no. 1, 232–247.

[129] J.B. Schor, C. Fitzmaurice, L.B. Carfagna, W. Attwood-Charles, and E.D. Poteat, Paradoxes of openness and distinction in the sharing economy, Poetics 54 (2016), 66–81.

[130] Y.R. Shrestha, S.M. Ben-Menahem, and G. Von Krogh, Organizational decision-making structures in the age of artificial intelligence, California Manag. Rev. 61 (2019), no. 4, 66–83.

[131] A. Smith, S. Hielscher, S. Dickel, J. Söderberg, and E. van Oost, Grassroots digital fabrication and makerspaces: Reconfiguring, relocating and recalibrating innovation?, University of Sussex, SPRU Working Paper SWPS 2013-02, Available at SSRN: https://ssrn.com/abstract=2731835, (2013).

[132] M. Stacey, The FAB LAB network: A global platform for digital invention, education and entrepreneurship, Innov.: Technol. Govern. Glob. 9 (2014), no. 1–2, 221–238.

[133] A. Ståhlbröst, A living lab as a service: Creating value for micro-enterprises through collaboration and innovation, Technol. Innov. Manag. Rev. 3 (2013), no. 11.

[134] T.J. Tanenbaum, A.M. Williams, A. Desjardins, and K. Tanenbaum, Democratizing technology: Pleasure, utility and expressiveness in DIY and maker practice, Proc. SIGCHI Conf. Human Factors Comput. Syst., 2013, pp. 2603–2612.

[135] E. Tavoletti, N. Kazemargi, C. Cerruti, C. Grieco, and A. Appolloni, Business model innovation and digital transformation in global management consulting firms, Eur. J. Innov. Manage. 25 (2022), no. 6, 612–636.

[136] A. Thorpe and S. Rhodes, The public collaboration lab: Infrastructuring redundancy with communities-in-place, She Ji: J. Design Econ. Innov. 4 (2018), no. 1, 60–74.

[137] J. Tidd, The competence cycle: translating knowledge, In: From knowledge management to strategic competence: Measuring technological, market and organizational innovation, World Sci. 3 (2000), no. 1.

[138] K. Timens and M. Gascó, Increasing innovation capacity in city governments: Do innovation labs make a difference?, J. Urban Affairs 40 (2018), no. 7, 992–1008.

[139] D. Tortora, R. Chierici, M.F. Briamonte and R. Tiscini, ‘I digitize so I exist’. Searching for critical capabilities affecting firms’ digital innovation, J. Bus. Res. 129 (2021), 193–204.

[140] H. Torvinen and K. Jansson, Public health care innovation lab tackling the barriers of public sector innovation, Public Manag. Rev. 25 (2023), no. 8, 1539–1561.

[141] G. Tsaramirsis, A. Kantaros, I. Al-Darraji, D. Pironnalis, C. Apostolopoulos, A. Pavlopoulou, M. Alrammal, Z. Ismail, S.M. Buhari, and M. Stojmenovic, A modern approach towards an industry 4.0 model: From driving technologies to management, J. Sensors 2022 (2022), 1–18.

[142] R. Tucker, Starting an Innovation Lab? Avoid These Pitfalls, Forbes, 2017.

[143] R. Van Goolen, H. Evers, and C. Lammens, International innovation labs: An innovation meeting ground between SMEs and business schools, Proc. Econ. Finance 12 (2014), 184–190.

[144] R. Verganti, L. Vendraminelli, and M. Iansiti, Innovation and design in the age of artificial intelligence, J. Prod. Innov. Manag. 37 (2020), no. 3, 212–227.

[145] P.C. Verhoef, T. Broekhuizen, Y. Bart, A. Bhattacharya, J.Q. Dong, N. Fabian, and M. Haenlein, Digital transformation: A multidisciplinary reflection and research agenda, J. Bus. Res. 122 (2021), 889–901.

[146] S.-L. Wamba-Taguimdje, S. Fosso Wamba, J.R. Kala Kamdioug, and C.E. Tchatchouang Wanko, Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects, Bus. Process Manag. J. 26 (2020), no. 7, 1893–1924.

[147] C. Wang, J. Hong, M. Kafouros, and M. Wright, Exploring the role of government involvement in outward FDI from emerging economies, J. Int. Bus. Stud. 43 (2012), 655–676.

[148] K.S. Warner and M. Wäger, Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal, Long Range Plann. 52 (2019), no. 3, 326–349.

[149] A. Whicher and T. Crick, Co-design, evaluation and the Northern Ireland innovation lab, Public Money Manag. 39 (2019), no. 4, 290–299.

[150] Y. Wijngaarden, E. Hitters, and P.V. Bhansing, Cultivating fertile learning grounds: Collegiality, tacit knowledge and innovation in creative co-working spaces, Geoforum 109 (2020), 86–94.

[151] S. Wildevuur, D. Van Dijk, T. Hammer-Jakobsen, M. Bjerre, A. Ayvari, and J. Lund, Connect: Design for an Eempathic Society, BIS Publishers, 2013.

[152] B. Williamson, Governing methods: Policy innovation labs, design and data science in the digital governance of education, Educ. Admin. History 47 (2015), no. 3, 251–271.

[153] D. Witschel, A. Dohla, M. Kaiser, K.-I. Voigt, and T. Pfletschinger, Riding on the wave of digitization: Insights how and under what settings dynamic capabilities facilitate digital-driven business model change, J. Bus. Econ. 89 (2019), 1023–1095.

[154] Y. Yoo, The tables have turned: How can the information systems field contribute to technology and innovation management research?, J. Assoc. Inf. Syst. 14 (2013), no. 5, p. 227.

[155] Y. Yoo, O. Henfridsson, and K. Lyytinen, Research commentary—the new organizing logic of digital innovation: an agenda for information systems research, Inf. Syst. Res. 21 (2010), no. 4, 724–735.

[156] W. Yu, C.Y. Wong, R. Chavez, and M. Jacobs, Surfing with the tides: how digitalization creates firm performance through supply chain entrainment, Int. J. Oper. Prod. Manag. 43 (2023), no. 12, 2008–2030.

[157] M. Zeschky, B. Wideningver and O. Gassmann, Frugal innovation in emerging markets, Res.-Technol. Manag. 54 (2011), no. 4, 38–45.

[158] R. Zhao, X. Li, S. Joty, C. Qin, and L. Bing, Verify-and-edit: A knowledge-enhanced chain-of-thought framework, arXiv preprint arXiv:2305.03268, (2023).

[159] C. Zurbriggen and M.G. Lago, An experimental evaluation tool for the Public Innovation Lab of the Uruguayan government, Evidence Policy 15 (2019), no. 3, 437–451.