Impact of Technology Recombination on Construction Firm Performance: Evidence from Chinese Construction Sector
Publication: Journal of Management in Engineering
Volume 39, Issue 3
Abstract
Technological recombinant innovation (TRI) has been regarded as an important part of technological innovation in the construction industry. However, the pattern of how TRI affects the performance of construction firms is still unclear. Building upon architectural innovation, this study identifies the exploratory and exploitative TRIs and explores the mediating mechanism of business models, by which TRIs influence a firm’s performance. Using text mining, panel data analysis of 107 China-listed construction firms was conducted to analyze the relationships. The results show that the positive relationship between exploratory TRI and firm performance is weakened by novelty-centered business model, while the negative effect of exploitative TRI on firm performance is strengthened through its mediation. This research enriches the literature on the relationship between technological innovation and firm performance by highlighting the important role of TRIs in predicting firm performance and differentiating mediating mechanisms for the two types of business models. In addition, the application of text mining to quantitatively evaluate the types of business model from the annual reports of listed construction firms, provides a new quantitative evaluation method for the research of business models.
Practical Applications
This study discusses the necessity of recombinant innovation as the source of technological innovation for construction firms, and provides guidance for construction firms in regards to their technological innovation approaches. Firms should focus on exploratory recombinant innovation, actively incorporating external technological components and exploring the new combinations of internal technological components. In terms of exploitative technology recombination, the reuse of existing technology combination may lead to knowledge solidification, which leads to the continuous decline of firm performance. Therefore, firms should pay attention to the balance and interaction of exploitation and exploration. Additionally, since the negative mediating effect of the novelty-centered business model has on the relationship between technological recombinant innovation and firm performance, firms should be mindful about the business model they employ. Adopting novelty-centered business model can be risky for construction firms that are in slow clockspeed industries. Instead, the best way for construction firms to keep thriving is by focusing on their efficiency-centered business model which can help them remain stable by protecting existing resources and competitive actions to maintain a competitive advantage.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 71802030), the Humanities and Social Science Fund of Ministry of Education of China (Grant No. 18YJC630071), the Fundamental Research Funds for the Central Universities (Grant No. 2019CDJSK03XK14) and the Natural Science Foundation of Chongqing, China (Grant No. cstc2021jcyj-msxmX1064).
References
Abernathy, W. J., and K. B. Clark. 1985. “Innovation: Mapping the winds of creative destruction.” Res. Policy 14 (1): 3–22. https://doi.org/10.1016/0048-7333(85)90021-6.
Adomako, S., J. Amankwah-Amoah, F. Donbesuur, M. Ahsan, A. Danso, and M. Uddin. 2022. “Strategic agility of SMEs in emerging economies: Antecedents, consequences and boundary conditions.” Int. Bus. Rev. 31 (6): 102032. https://doi.org/10.1016/j.ibusrev.2022.102032.
Amit, R., and C. Zott. 2001. “Value creation in E-business.” Strategic Manage. J. 22 (6–7): 493–520. https://doi.org/10.1002/smj.187.
Andreou, P. C., T. Harris, and D. Philip. 2020. “Measuring firms’ market orientation using textual analysis of 10-K filings.” Br. J. Manage. 31 (4): 872–895. https://doi.org/10.1111/1467-8551.12391.
Arts, S., and R. Veugelers. 2015. “Technology familiarity, recombinant novelty, and breakthrough invention.” Ind. Corporate Change 24 (6): 1215–1246. https://doi.org/10.1093/icc/dtu029.
Atuahene-Gima, K. 2005. “Resolving the capability: Rigidity paradox in new product innovation.” J. Marketing 69 (4): 61–83. https://doi.org/10.1509/jmkg.2005.69.4.61.
Bademosi, F., and R. Issa. 2021. “Factors influencing adoption and integration of construction robotics and automation technology in the US.” J. Constr. Eng. Manage. 147 (8): 04021075. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002103.
Baden-Fuller, C., and S. Haefliger. 2013. “Business models and technological innovation.” Long Range Plann. 46 (6): 419–426. https://doi.org/10.1016/j.lrp.2013.08.023.
Balakrishnan, R., X. Y. Qiu, and P. Srinivasan. 2010. “On the predictive ability of narrative disclosures in annual reports.” Eur. J. Oper. Res. 202 (3): 789–801. https://doi.org/10.1016/j.ejor.2009.06.023.
Balboni, B., G. Bortoluzzi, R. Pugliese, and A. Tracogna. 2019. “Business model evolution, contextual ambidexterity and the growth performance of high-tech start-ups.” J. Bus. Res. 99 (Jun): 115–124. https://doi.org/10.1016/j.jbusres.2019.02.029.
Barney, J. 1991. “Firm resources and sustained competitive advantage.” J. Manage. 17 (1): 99–120. https://doi.org/10.1177/014920639101700108.
Bharadwaj, A. S., S. G. Bharadwaj, and B. R. Konsynski. 1999. “Information technology effects on firm performance as measured by Tobin’s Q.” Manage. Sci. 45 (7): 1008–1024. https://doi.org/10.1287/mnsc.45.7.1008.
Brettel, M., S. Strese, and T. C. Flatten. 2012. “Improving the performance of business models with relationship marketing efforts—An entrepreneurial perspective.” Eur. Manage. J. 30 (2): 85–98. https://doi.org/10.1016/j.emj.2011.11.003.
Cao, D., C. Peng, and G. Yang. 2022. “The pressure of political promotion and renewable energy technological innovation: A spatial econometric analysis from China.” Technol. Forecasting Social Change 183 (Oct): 121888. https://doi.org/10.1016/j.techfore.2022.121888.
Carnabuci, G., and E. Operti. 2013. “Where do firms’ recombinant capabilities come from? Intraorganizational networks, knowledge, and firms’ ability to innovate through technological recombination.” Strategic Manage. J. 34 (13): 1591–1613. https://doi.org/10.1002/smj.2084.
Caviggioli, F. 2016. “Technology fusion: Identification and analysis of the drivers of technology convergence using patent data.” Technovation 55 (Sep): 22–32. https://doi.org/10.1016/j.technovation.2016.04.003.
CCER (China Center for Economic Research). 2022. “CCER economic and financial database.” Accessed December 27, 2022. https://www.ccerdata.cn/.
Chesbrough, H. 2007. “Business model innovation: It’s not just about technology anymore.” Strategy Leadersh. 35 (6): 12–17. https://doi.org/10.1108/10878570710833714.
Cho, S. Y., and S. K. Kim. 2017. “Horizon problem and firm innovation: The influence of CEO career horizon, exploitation and exploration on breakthrough innovations.” Res. Policy 46 (10): 1801–1809. https://doi.org/10.1016/j.respol.2017.08.007.
Chou, C., C. J. Chang, C. Chin, and W. Chiang. 2018. “Measuring the consistency of quantitative and qualitative information in financial reports: A design science approach.” J. Emerging Technol. Accounting 15 (2): 93–109. https://doi.org/10.2308/jeta-52312.
Coad, A., and R. Rao. 2008. “Innovation and firm growth in high-tech sectors: A quantile regression approach.” Res. Policy 37 (4): 633–648. https://doi.org/10.1016/j.respol.2008.01.003.
Coad, A., A. Segarra, and M. Teruel. 2016. “Innovation and firm growth: Does firm age play a role?” Res. Policy 45 (2): 387–400. https://doi.org/10.1016/j.respol.2015.10.015.
Colovic, A. 2022. “Leadership and business model innovation in late internationalizing SMEs.” Long Range Plann. 55 (1): 102083. https://doi.org/10.1016/j.lrp.2021.102083.
Dou, Y. D., X. L. Xue, C. Z. Wu, X. W. Luo, and Y. N. Wang. 2020. “Interorganizational diffusion of prefabricated construction technology: Two-stage evolution framework.” J. Constr. Eng. Manage. 146 (9): 04020114. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001904.
Duodu, B., and S. Rowlinson. 2021. “Intellectual capital, innovation, and performance in construction contracting firms.” J. Manage. Eng. 37 (1): 04020097. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000864.
Edwards, J. R., and L. S. Lambert. 2007. “Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis.” Psychol. Methods 12 (1): 1–22. https://doi.org/10.1037/1082-989X.12.1.1.
Ejermo, O., A. Kander, and M. Svensson Henning. 2011. “The R&D-growth paradox arises in fast-growing sectors.” Res. Policy 40 (5): 664–672. https://doi.org/10.1016/j.respol.2011.03.004.
Espin, J., D. Jimenez, and M. Costa. 2022. “Effects of the organizational culture and knowledge exploration and exploitation on results in the EFQM model framework.” J. Knowl. Manage. 2022 (Oct). https://doi.org/10.1108/JKM-11-2021-0868.
Fleming, L. 2001. “Recombinant uncertainty in technological search.” Manage. Sci. 47 (1): 117–132. https://doi.org/10.1287/mnsc.47.1.117.10671.
Galunic, D. C., and S. Rodan. 1998. “Resource recombinations in the firm: Knowledge structures and the potential for schumpeterian innovation.” Strategic Manage. J. 19 (12): 1193–1201. https://doi.org/10.1002/(SICI)1097-0266(1998120)19:12%3C1193::AID-SMJ5%3E3.0.CO;2-F.
Gann, D. M., and A. J. Salter. 2000. “Innovation in project-based, service-enhanced firms: The construction of complex products and systems.” Res. Policy 29 (7): 955–972. https://doi.org/10.1016/S0048-7333(00)00114-1.
Gerdoçi, B., G. Bortoluzzi, and S. Dibra. 2018. “Business model design and firm performance: Evidence of interactive effects from a developing economy.” Eur. J. Innovation Manage. 21 (2): 315–333. https://doi.org/10.1108/EJIM-02-2017-0012.
Gronum, S., J. Steen, and M. Verreynne. 2016. “Business model design and innovation: Unlocking the performance benefits of innovation.” Aust. J. Manage. 41 (3): 585–605. https://doi.org/10.1177/0312896215587315.
Guan, J., and N. Liu. 2016. “Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy.” Res. Policy 45 (1): 97–112. https://doi.org/10.1016/j.respol.2015.08.002.
Gunday, G., G. Ulusoy, K. Kilic, and L. Alpkan. 2011. “Effects of innovation types on firm performance.” Int. J. Prod. Econ. 133 (2): 662–676. https://doi.org/10.1016/j.ijpe.2011.05.014.
Hajek, P., and R. Henriques. 2017. “Mining corporate annual reports for intelligent detection of financial statement fraud—A comparative study of machine learning methods.” Knowl.-Based Syst. 128 (Jul): 139–152. https://doi.org/10.1016/j.knosys.2017.05.001.
Hajek, P., V. Olej, and R. Myskova. 2014. “Forecasting corporate financial performance using sentiment in annual reports for stakeholders’ decision-making.” Technol. Econ. Dev. Econ. 20 (4): 721–738. https://doi.org/10.3846/20294913.2014.979456.
Haynes, K. T., and A. Hillman. 2010. “The effect of board capital and CEO power on strategic change.” Strategic Manage. J. 31 (11): 1145–1163. https://doi.org/10.1002/smj.859.
He, Z., and P. Wong. 2004. “Exploration vs. exploitation: An empirical test of the ambidexterity hypothesis.” Organ. Sci. 15 (4): 481–494. https://doi.org/10.1287/orsc.1040.0078.
Henderson, R. M., and K. B. Clark. 1990. “Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms.” Adm. Sci. Q. 35 (1): 9–30. https://doi.org/10.2307/2393549.
Hu, B., and W. Chen. 2016. “Business model ambidexterity and technological innovation performance: Evidence from China.” Technol. Anal. Strategic Manage. 28 (5): 583–600. https://doi.org/10.1080/09537325.2015.1122186.
Huang, H., M. Lai, L. Lin, and C. Chen. 2013. “Overcoming organizational inertia to strengthen business model innovation: An open innovation perspective.” J. Organ. Change Manage. 26 (6): 977–1002. https://doi.org/10.1108/JOCM-04-2012-0047.
Hung, K., and C. Chou. 2013. “The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence.” Technovation 33 (10–11): 368–380. https://doi.org/10.1016/j.technovation.2013.06.006.
IncoPat. 2022. “IncoPat global patent database.” Accessed December 27, 2022. https://www.incopat.com/.
Jang, Y., K. Kim, F. Leite, S. Ayer, and Y. K. Cho. 2021. “Identifying the perception differences of emerging construction-related technologies between industry and academia to enable high levels of collaboration.” J. Constr. Eng. Manage. 147 (10): 06021004. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002156.
Jang, Y., K. S. Song, M. Park, and Y. Ahn. 2020. “Classifying the business model types of international construction contractors.” J. Constr. Eng. Manage. 146 (6): 04020056. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001836.
Jansen, J. J. P., F. A. J. Van Den Bosch, and H. W. Volberda. 2006. “Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators.” Manage. Sci. 52 (11): 1661–1674. https://doi.org/10.1287/mnsc.1060.0576.
Jia, J. Y., M. Y. Zhang, and G. S. Yang. 2022. “Factors influencing BIM integration with emerging technologies: Knowledge coupling perspective.” J. Manage. Eng. 38 (2): 04022001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001018.
Julian, S. D., and J. C. Ofori Dankwa. 2017. “Context matters: Diversity’s short- and long-term effects in fortune’s ‘best companies to work for’.” Strategic Manage. J. 38 (7): 1557–1565. https://doi.org/10.1002/smj.2576.
Kaplan, S., and K. Vakili. 2015. “The double-edged sword of recombination in breakthrough innovation.” Strategic Manage. J. 36 (10): 1435–1457. https://doi.org/10.1002/smj.2294.
Karabag, S. F., and C. Berggren. 2014. “Antecedents of firm performance in emerging economies: Business groups, strategy, industry structure, and state support.” J. Bus. Res. 67 (10): 2212–2223. https://doi.org/10.1016/j.jbusres.2014.01.004.
Katila, R., and G. Ahuja. 2002. “Something old, something new: A longitudinal study of search behavior and new product introduction.” Acad. Manage. J. 45 (6): 1183–1194. https://doi.org/10.2307/3069433.
Khalef, R., and I. H. El-adaway. 2021. “Automated identification of substantial changes in construction projects of airport improvement program: Machine learning and natural language processing comparative analysis.” J. Manage. Eng. 37 (6): 04021062. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000959.
Kim, C., H. Kim, S. H. Han, C. Kim, M. K. Kim, and S. H. Park. 2009. “Developing a technology roadmap for construction R&D through interdisciplinary research efforts.” Autom. Constr. 18 (3): 330–337. https://doi.org/10.1016/j.autcon.2008.09.008.
Klarin, A., Y. Suseno, and J. A. L. Lajom. 2021. “Systematic literature review of convergence: A systems perspective and re-evaluation of the convergence process.” IEEE Trans. Eng. Manage. 2021 (Nov): 1–13. https://doi.org/10.1109/TEM.2021.3126055.
Ko, Y., K. Zigan, and Y. Liu. 2021. “Carbon capture and storage in South Africa: A technological innovation system with a political economy focus.” Technol. Forecasting Social Change 166 (May): 120633. https://doi.org/10.1016/j.techfore.2021.120633.
Kraft, P. S. 2022. “The double-edged sword of CEO narcissism: A meta-analysis of innovation and firm performance implications.” J. Prod. Innovation Manage. 39 (6): 749–772. https://doi.org/10.1111/jpim.12649.
Lee, J., and Y. S. Hong. 2014. “Business model mining: Analyzing a firm’s business model with text mining of annual report.” Ind. Eng. Manage. Syst. 13 (4): 432–441. https://doi.org/10.7232/iems.2014.13.4.432.
Lei, D. T. 2000. “Industry evolution and competence development: The imperatives of technological convergence.” Int. J. Technol. Manage. 19 (7): 699–738. https://doi.org/10.1504/IJTM.2000.002848.
Leonardbarton, D. 1992. “Core capabilities and core rigidities: A paradox in managing new product development.” Supplement, Strategic Manage. J. 13 (S1): 111–125. https://doi.org/10.1002/smj.4250131009.
Leone, A. J., M. Minutti-Meza, and C. E. Wasley. 2019. “Influential observations and inference in accounting research.” Account. Rev. 94 (6): 337–364. https://doi.org/10.2308/accr-52396.
Lessing, J., and S. Brege. 2018. “Industrialized building companies’ business models: Multiple case study of Swedish and North American companies.” J. Constr. Eng. Manage. 144 (2): 05017019. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001368.
Liu, A., J. Gu, and H. Liu. 2022. “The fit between firm capability and business model for SME growth: A resource orchestration perspective.” R&D Manage. 52 (4): 670–684. https://doi.org/10.1111/radm.12513.
Liu, G., K. Li, D. Zhao, and C. Mao. 2017. “Business model innovation and its drivers in the Chinese construction industry during the shift to modular prefabrication.” J. Manage. Eng. 33 (3): 04016051. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000501.
Lo, J., and C. Kam. 2022. “Innovation of organizations in the construction industry: Progress and performance attributes.” J. Manage. Eng. 38 (6): 04022064. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001093.
Lo, S., and H. Sheu. 2007. “Is corporate sustainability a value-increasing strategy for business?” Corporate Governance: Int. Rev. 15 (2): 345–358. https://doi.org/10.1111/j.1467-8683.2007.00565.x.
Loderer, C., R. Stulz, and U. Waelchlig. 2017. “Firm rigidities and the decline in growth opportunities.” Manage. Sci. 63 (9): 3000–3020. https://doi.org/10.1287/mnsc.2016.2478.
Majchrzak, A., L. P. Cooper, and O. E. Neece. 2004. “Knowledge reuse for innovation.” Manage. Sci. 50 (2): 174–188. https://doi.org/10.1287/mnsc.1030.0116.
Mueller, V., N. Rosenbusch, and A. Bausch. 2013. “Success patterns of exploratory and exploitative innovation: A meta-analysis of the influence of institutional factors.” J. Manage. 39 (6): 1606–1636. https://doi.org/10.1177/0149206313484516.
Nadkarni, S., and V. K. Narayanan. 2007. “Strategic schemas, strategic flexibility, and firm performance: The moderating role of industry clockspeed.” Strategic Manage. J. 28 (3): 243–270. https://doi.org/10.1002/smj.576.
Ozorhon, B., K. Oral, and S. Demirkesen. 2016. “Investigating the components of innovation in construction projects.” J. Manage. Eng. 32 (3): 04015052. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000419.
Öztürk, G. B., D. Arditi, H. M. Günaydın, and İ. Yitmen. 2016. “Organizational learning and performance of architectural design firms in Turkey.” J. Manage. Eng. 32 (5): 05016015. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000455.
Raymond, L., F. Bergeron, A. M. Croteau, A. O. de Guinea, and S. Uwizeyemungu. 2020. “Information technology-enabled explorative learning and competitive performance in industrial service SMEs: A configurational analysis.” J. Knowl. Manage. 24 (7): 1625–1651. https://doi.org/10.1108/JKM-12-2019-0741.
Rothaermel, F. T., and M. T. Alexandre. 2009. “Ambidexterity in technology sourcing: The moderating role of absorptive capacity.” Organ. Sci. 20 (4): 759–780. https://doi.org/10.1287/orsc.1080.0404.
Salton, G., and C. Buckley. 1988. “Term-weighting approaches in automatic text retrieval.” Inf. Process. Manage. 24 (5): 513–523. https://doi.org/10.1016/0306-4573(88)90021-0.
Savino, T., A. Messeni Petruzzelli, and V. Albino. 2017. “Search and recombination process to innovate: A review of the empirical evidence and a research agenda.” Int. J. Manage. Rev. 19 (1): 54–75. https://doi.org/10.1111/ijmr.12081.
Schumpeter, J. A. 1939. Business cycles: A theoretical, historical, and statistical analysis of the capitalist process. New York: McGraw-Hill.
Singhal, C., R. V. Mahto, and S. Kraus. 2022. “Technological innovation, firm performance, and institutional context: A meta-analysis.” IEEE Trans. Eng. Manage. 69 (6): 2976–2986. https://doi.org/10.1109/TEM.2020.3021378.
Strumsky, D., and J. Lobo. 2015. “Identifying the sources of technological novelty in the process of invention.” Res. Policy 44 (8): 1445–1461. https://doi.org/10.1016/j.respol.2015.05.008.
Strumsky, D., J. Lobo, and S. van der Leeuw. 2012. “Using patent technology codes to study technological change.” Econ. Innovation New Technol. 21 (3): 267–286. https://doi.org/10.1080/10438599.2011.578709.
Sullivan, K. T. 2011. “Quality management programs in the construction industry: Best value compared with other methodologies.” J. Manage. Eng. 27 (4): 210–219. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000054.
Teece, D. J. 2010. “Business models, business strategy and innovation.” Long Range Plann. 43 (2): 172–194. https://doi.org/10.1016/j.lrp.2009.07.003.
Teece, D. J., G. Pisano, and A. Shuen. 1997. “Dynamic capabilities and strategic management.” Strategic Manage. J. 18 (7): 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z.
Torres Mazzi, C., and N. Foster-McGregor. 2021. “Imported intermediates, technological capabilities and exports: Evidence from Brazilian firm-level data.” Res. Policy 50 (1): 104141. https://doi.org/10.1016/j.respol.2020.104141.
Wei, Z., X. Song, and D. Wang. 2017. “Manufacturing flexibility, business model design, and firm performance.” Int. J. Prod. Econ. 193 (Nov): 87–97. https://doi.org/10.1016/j.ijpe.2017.07.004.
Wei, Z., D. Yang, B. Sun, and M. Gu. 2014. “The fit between technological innovation and business model design for firm growth: Evidence from China.” R&D Manage. 44 (3): 288–305. https://doi.org/10.1111/radm.12069.
Xu, G. 2018. “The costs of patronage: Evidence from the British empire.” Am. Econ. Rev. 108 (11): 3170–3198. https://doi.org/10.1257/aer.20171339.
Xu, N., L. Ma, L. Wang, Y. L. Deng, and G. D. Ni. 2021. “Extracting domain knowledge elements of construction safety management: Rule-based approach using Chinese natural language processing.” J. Manage. Eng. 37 (2): 04021001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000870.
Yu, B., S. Hao, and Y. Wang. 2020. “Organizational search and business model innovation: The moderating role of knowledge inertia.” J. Knowl. Manage. 24 (7): 1705–1718. https://doi.org/10.1108/JKM-02-2020-0100.
Yu, H., C. Devece, J. M. G. Martinez, and B. Xu. 2021. “An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model.” Technol. Forecasting Social Change 165 (Apr): 120471. https://doi.org/10.1016/j.techfore.2020.120471.
Zeng, Y., P. Dong, Y. Shi, L. Wang, and Y. Li. 2020. “Analyzing the co-evolution of green technology diffusion and consumers’ pro-environmental attitudes: An agent-based model.” J. Cleaner Prod. 256 (May): 120384. https://doi.org/10.1016/j.jclepro.2020.120384.
Zhai, X., A. M. M. Liu, and R. Fellows. 2014. “Role of human resource practices in enhancing organizational learning in Chinese construction organizations.” J. Manage. Eng. 30 (2): 194–204. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000207.
Zhao, C. M., X. Qu, and S. G. Luo. 2019. “Impact of the InnoCom program on corporate innovation performance in China: Evidence from Shanghai.” Technol. Forecasting Social Change 146 (Sep): 103–118. https://doi.org/10.1016/j.techfore.2019.05.024.
Zhao, X. J., L. Chen, W. Pan, and Q. C. Lu. 2017. “AHP-ANP-fuzzy integral integrated network for evaluating performance of innovative business models for sustainable building.” J. Constr. Eng. Manage. 143 (8): 04017054. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001348.
Zheng, L. J., C. Xiong, X. Chen, and C. Li. 2021. “Product innovation in entrepreneurial firms: How business model design influences disruptive and adoptive innovation.” Technol. Forecasting Social Change 170 (Sep): 120894. https://doi.org/10.1016/j.techfore.2021.120894.
Zhu, C., and C. Lee. 2022. “The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China.” Technol. Forecasting Social Change 183: (Oct): 121955. https://doi.org/10.1016/j.techfore.2022.121955.
Zhu, H. J., B. G. Hwang, J. Ngo, and J. P. San Tan. 2022. “Applications of smart technologies in construction project management.” J. Constr. Eng. Manage. 148 (4): 04022010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002260.
Zott, C., and R. Amit. 2007. “Business model design and the performance of entrepreneurial firms.” Organ. Sci. 18 (2): 181–199. https://doi.org/10.1287/orsc.1060.0232.
Zott, C., and R. Amit. 2008. “The fit between product market strategy and business model: Implications for firm performance.” Strategic Manag. J. 29 (1): 1–26. https://doi.org/10.1002/smj.642.
Zott, C., and R. Amit. 2010. “Business model design: An activity system perspective.” Long Range Plann. 43 (2): 216–226. https://doi.org/10.1016/j.lrp.2009.07.004.
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Volume 39 • Issue 3 • May 2023
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Received: Jun 28, 2022
Accepted: Jan 5, 2023
Published online: Mar 13, 2023
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Cited by
- Yimin Li, Priyadarshini Das, Ivana Kuzmanovska, Enzo Lara-Hamilton, Duncan W. Maxwell, Robert Moehler, Business Model Innovation in the Construction Industry: Emerging Business Model Archetypes from Bathpod Modularization, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5651, 40, 2, (2024).