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Cited by 22Innovation and Knowledge ManagementBusiness Strategies and InnovationFirm Innovation and Growth

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Relationship Between Knowledge Base and Innovation-Driven Growth: Moderated by Organizational Character

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Yu, Dengke, Yan, Hongling·2021·Frontiers in Psychology
DOI 10.3389/fpsyg.2021.663317PMC PMC8185048
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Abstract

Purpose:On the background of innovation-driven growth strategy of the Chinese government, this study aims to explore the impact of the knowledge base on innovation-driven growth of a firm, which is moderated by organizational character. Design/methodology/approach:Based on the data of 965 Chinese listed companies, some hypotheses were tested using the method of hierarchical regression analysis. Findings:Organizational growth relies on both technological and business model innovations and their interactive effect. Knowledge base, both breadth and depth, makes a positive impact on the innovation-driven growth of an enterprise. In the impacting mechanism, an explicit organizational character not only has direct positive effects on business model innovation, it also strengthens the effect of knowledge breadth on business model innovation. On the contrary, an implicit organizational character is not significantly related to innovation. Research limitations/implications:In order to achieve growth, enterprises are suggested to adopt such dual innovation strategy, led by technological innovation and supplemented with business model innovation, which is supported by the integrated management of intangible resources, deep and broad knowledge, and explicit organizational character. Originality/value:A new theoretical framework of organizational innovation-driven growth was proposed. The realization paths of innovation-driven growth were explored. The idea of collaborative governance between the knowledge base and organizational character was raised.

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  1. Ahlstrom, 2010, Innovation and growth: how business contributes to society, Acad. Manag. Perspect., 24, 11, 10.5465/amp.24.3.11 · DOI
  2. An, 2021, The match between business model design and knowledge base in firm growth: from a knowledge-based view
  3. Azar, 2017, Organizational innovation, technological innovation, and export performance: the effects of innovation radicalness and extensiveness, Int. Bus. Rev., 26, 324, 10.1016/j.ibusrev.2016.09.002 · DOI
  4. Boh, 2014, Balancing breadth and depth of expertise for innovation: a 3M story, Res. Policy, 43, 349, 10.1016/j.respol.2013.10.009 · DOI
  5. Bottazzi, 2001, Innovation and corporate growth in the evolution of the drug industry, Int. J. Ind. Organ., 19, 1161, 10.1016/S0167-7187(01)00068-6 · DOI
  6. Bridges, 2000, The Character of Organizations: Using Personality Type in Organization Development
  7. Byun, 2018, Technological innovation strategy: how do technology life cycles change by technological area, Tech. Anal. Strat. Manag., 30, 98, 10.1080/09537325.2017.1297397 · DOI
  8. Caloghirou, 2018, How do employee training and knowledge stocks affect product innovation?, Econ. Innov. New Technol., 27, 343, 10.1080/10438599.2017.1362796 · DOI
  9. Camisón, 2014, Organizational innovation as an enabler of technological innovation capabilities and firm performance, J. Bus. Res., 67, 2891, 10.1016/j.jbusres.2012.06.004 · DOI
  10. Carayannopoulos, 2010, External knowledge sourcing in biotechnology through acquisition versus alliance: a KBV approach, Res. Policy, 39, 254, 10.1016/j.respol.2009.12.005 · DOI
  11. Chatterjee, 2021, Does data-driven culture impact innovation and performance of a firm? An empirical examination, 10.1007/s10479-020-03887-z · DOI · Paper page
  12. Chen, 2012, The effects of related and unrelated technological diversification on innovation performance and corporate growth in the Taiwan’s semiconductor industry, Scientometrics, 92, 117, 10.1007/s11192-012-0720-y · DOI
  13. 2020, China Statistical Yearbook 2019
  14. Costa, 1992, Normal personality assessment in clinical practice: the NEO personality inventory, Psychol. Assess., 4, 5, 10.1037/1040-3590.4.1.5 · DOI · Paper page
  15. Dalgic, 2021, Innovation and firm growth: Turkish manufacturing and services SMEs
  16. Davies, 2004, A corporate character scale to assess employee and customer views of organization reputation, Corp. Reput. Rev., 7, 125, 10.1057/palgrave.crr.1540216 · DOI
  17. Estrada, 2016, Coopetition and product innovation performance: the role of internal knowledge sharing mechanisms and formal knowledge protection mechanisms, Ind. Mark. Manag., 100, 56, 10.1016/j.indmarman.2015.11.013 · DOI
  18. Fang, 2020, China’s rising IQ (innovation quotient) and growth: firm-level evidence, J. Dev. Econ., 147, 102561, 10.1016/j.jdeveco.2020.102561 · DOI
  19. Fiorentino, 2020, The early growth of start-ups: innovation matters. Evidence from Italy, 10.1108/EJIM-02-2020-0057 · DOI
  20. Gerdoçi, 2018, Business model design and firm performance: evidence of interactive effects from a developing economy, Eur. J. Innov. Manag., 21, 315, 10.1108/EJIM-02-2017-0012 · DOI
  21. Geuens, 2009, A new measure of brand personality, Int. J. Res. Mark., 26, 97, 10.1016/j.ijresmar.2008.12.002 · DOI
  22. Gifford, 1992, Innovation, firm size and growth in a centralized organization, RAND J. Econ., 23, 284, 10.2307/2555989 · DOI
  23. Grillitsch, 2017, Knowledge base combinations and innovation performance in Swedish regions, Econ. Geogr., 93, 458, 10.1080/00130095.2016.1154442 · DOI
  24. Heide, 1994, Interorganizational governance in marketing channels, J. Mark., 58, 71, 10.1177/002224299405800106 · DOI
  25. Holahan, 2014, Product development as core competence: how formal product development practices differ for radical, more innovative, and incremental product innovations, J. Prod. Innov. Manag., 31, 329, 10.1111/jpim.12098 · DOI
  26. Hu, 2012, Business model innovation, technological innovation and firm performance: an empirical study of listed companies on the GEM, Sci. Tech. Progress Policy, 29, 95, 10.3969/j.issn.1001-7348.2012.03.023 · DOI
  27. Hu, 2014, Linking business models with technological innovation performance through organizational learning, Eur. Manag. J., 32, 587, 10.1016/j.emj.2013.10.009 · DOI
  28. Huarng, 2020, Knowledge, business, and innovation: economies and sustainability of future growth, J. Bus. Res., 112, 236, 10.1016/j.jbusres.2020.03.022 · DOI
  29. Hussain, 2016, Intellectual property appropriation strategy and its impact on innovation performance, Int. J. Innov. Manag., 20, 1650016, 10.1142/S136391961650016X · DOI
  30. Ibidunni, 2020, Knowledge transfer and innovation performance of small and medium enterprises (SMEs): an informal economy analysis, Heliyon, 6, e04740, 10.1016/j.heliyon.2020.e04740 · DOI
  31. Jiang, 2020, Technology breadth, technology depth and knowledge transfer, Stud. Sci. Sci., 38, 1638, 10.16192/j.cnki.1003-2053.2020.09.012 · DOI
  32. Jin, 2015, A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating, Manag. Decis., 53, 2202, 10.1108/MD-05-2014-0253 · DOI
  33. Jin, 2018, Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning, Tech. Anal. Strat. Manag., 30, 71, 10.1080/09537325.2017.1286011 · DOI
  34. Kang, 2016, Five dimensions of brand personality traits in sport, Sport Manage. Rev., 19, 441, 10.1016/j.smr.2016.01.004 · DOI
  35. Kobarg, 2019, More is not always better: effects of collaboration breadth and depth on radical and incremental innovation performance at the project level, Res. Policy, 48, 1, 10.1016/j.respol.2018.07.014 · DOI
  36. Li, 2018, The path to innovation: the antecedent perspective of intellectual capital and organizational character, Front. Psychol., 9, 2445, 10.3389/fpsyg.2018.02445 · DOI
  37. Lin, 2011, Managerial incentives, CEO characteristics and corporate innovation in China’s private sector, J. Comp. Econ., 39, 176, 10.1016/j.jce.2009.12.001 · DOI
  38. Liu, 2019, A new innovation system in new economy environment - The contradiction and unity of technology innovation and business model innovation, Sci. Tech. Progress Policy, 36, 9
  39. Lodh, 2015, Technological breadth and depth of knowledge in innovation: the role of mergers and acquisitions in biotech, Ind. Corp. Chang., 24, 383, 10.1093/icc/dtu013 · DOI
  40. Mina, 2014, Open service innovation and the firm’s search for external knowledge, Res. Policy, 43, 853, 10.1016/j.respol.2013.07.004 · DOI
  41. Moore, 2005, Corporate character, Bus. Ethics Q., 15, 659, 10.5840/beq200515446 · DOI
  42. Moore, 2015, Corporate character, corporate virtues, Bus. Ethics: Eur. Rev., 24, S99, 10.1111/beer.12100 · DOI
  43. Ng, 2010, Psychological contract breaches, organizational commitment, and innovation-related behaviors: a latent growth modeling approach, J. Appl. Psychol., 95, 744, 10.1037/a0018804 · DOI
  44. Osiyevskyy, 2015, Business model design and innovation in the process of the expansion and growth of global enterprises, 115
  45. Penrose, 2002, The Growth of the Firm: The Legacy of Edith Penrose
  46. Prabhu, 2005, The impact of acquisitions on innovation: poison pill, placebo, or tonic?, J. Mark., 69, 114, 10.1509/jmkg.69.1.114.55514 · DOI
  47. Rantala, 2018, The effect of sustainability in the adoption of technological, service, and business model innovations, J. Clean. Prod., 172, 46, 10.1016/j.jclepro.2017.10.009 · DOI
  48. Resnick, 2003, Character is foundation of firm’s reputation, US Bank., 113, 24
  49. Roper, 2015, Knowledge stocks, knowledge flows and innovation: evidence from matched patents and innovation panel data, Res. Policy, 44, 1327, 10.1016/j.respol.2015.03.003 · DOI
  50. Rosca, 2017, Business models for sustainable innovation - An empirical analysis of frugal products and services, J. Clean. Prod., 162, S133, 10.1016/j.jclepro.2016.02.050 · DOI
  51. Roy, 2016, Knowledge, firm boundaries, and innovation: mitigating the incumbent’s curse during radical technological change, Strateg. Manag. J., 37, 835, 10.1002/smj.2357 · DOI
  52. Ruiz-Moreno, 2016, Quality management and administrative innovation as firms’ capacity to adapt to their environment, Total Qual. Manag. Bus. Excell., 27, 48, 10.1080/14783363.2014.941718 · DOI
  53. Schumpeter, 1912, The Theory of Economic Development
  54. Shi, 2020, Managing open innovation from a knowledge flow perspective: the roles of embeddedness and network inertia in collaboration networks, 10.1108/EJIM-07-2019-0200 · DOI
  55. Shi, 2018, The impact of technological innovation on product quality: the moderating role of firm size, Total Qual. Manag. Bus. Excell., 29, 746, 10.1080/14783363.2016.1233810 · DOI
  56. Slaughter, 2004, Personality trait inferences about organizations: development of a measure and assessment of construct validity, J. Appl. Psychol., 89, 85, 10.1037/0021-9010.89.1.85 · DOI
  57. Snihur, 2019, Searching for innovation: product, process, and business model innovations and search behavior in established firms, Long Range Plan., 52, 305, 10.1016/j.lrp.2018.05.003 · DOI
  58. Sun, 2021, User-driven supply chain business model innovation: the role of dynamic capabilities, 10.1002/csr.2128 · DOI
  59. Sundstrom, 2021, Market-oriented business model for SMEs’ disruptive innovations internationalization, 10.1108/MIP-10-2019-0527 · DOI
  60. Sung, 2018, Building knowledge stock and facilitating knowledge flow through human resource management practices toward firm innovation, Hum. Resour. Manag., 57, 1429, 10.1002/hrm.21915 · DOI
  61. Tamayo-Torres, 2016, Organizational learning and innovation as sources of strategic fit, Ind. Manag. Data Syst., 116, 1445, 10.1108/IMDS-12-2015-0518 · DOI
  62. Terjesen, 2017, In search of process innovations: the role of search depth, search breadth, and the industry environment, J. Manag., 43, 1421, 10.1177/0149206315575710 · DOI
  63. Triguero, 2018, Inbound open innovative strategies and eco-innovation in the Spanish food and beverage industry, SCP, 15, 49, 10.1016/j.spc.2018.04.002 · DOI
  64. Uhlaner, 2013, Disentangling the effects of organizational capabilities, innovation and firm size on SME sales growth, Small Bus. Econ., 41, 581, 10.1007/s11187-012-9455-7 · DOI
  65. Vakili, 2021, Organizing for innovation: a contingency view on innovative team configuration, 10.1002/smj.3264 · DOI
  66. Wan, 2021, Optimal growth through innovation, investment, and labor, Eur. Econ. Rev., 132, 103644, 10.1016/j.euroecorev.2020.103644 · DOI
  67. Wang, 2020, How S&T connectivity supports innovation-driven development: an analysis of China’s cooperation networks in high and new technology fields, Asian J. Technol. Innov., 29, 1, 10.1080/19761597.2020.1792783 · DOI
  68. Wei, 2014, The fit between technological innovation and business model design for firm growth: evidence from China, R&D Manag., 44, 288, 10.1111/radm.12069 · DOI
  69. Weng, 2017, The impact of exploration and exploitation learning on organisational innovativeness among hospitals: an open innovation view, Tech. Anal. Strat. Manag., 29, 119, 10.1080/09537325.2016.1210120 · DOI
  70. Wieland, 2014, Moral character formation, leadership excellence and corporate character, 48
  71. Wu, 2019, From incubation to mass entrepreneurship: the analysis of transformation of technology incubators under the entrepreneurship and innovation policies, Stud. Sci. Sci., 37, 1626, 10.16192/j.cnki.1003-2053.2019.09.011 · DOI
  72. Wu, 2016, Encouraging or refusing employee innovation: the choice of company innovation policy, Sci. Res. Manage., 37, 45, 10.19571/j.cnki.1000-2995.2016.06.006 · DOI
  73. Xiao, 2020, Achieving sustainable competitive advantage through intellectual capital and corporate character: the mediating role of innovation, Problemy Ekorozwoju, 15, 33, 10.35784/pe.2020.1.04 · DOI
  74. Xu, 2015, Balancing the two knowledge dimensions in innovation efforts: an empirical examination among pharmaceutical firms, J. Prod. Innov. Manag., 32, 610, 10.1111/jpim.12234 · DOI
  75. Ye, 2019, The interplay of external ties and internal knowledge base: implications for radical innovation in China’s university spin-offs, Chin. Manag. Stud., 13, 778, 10.1108/CMS-06-2018-0551 · DOI
  76. Yi, 2020, Business model innovations in China: a focus on value propositions, Bus. Horiz., 63, 787, 10.1016/j.bushor.2020.07.002 · DOI
  77. Yu, 2017, Knowledge creation process and sustainable competitive advantage: the role of technological innovation capabilities, Sustainability, 9, 2280, 10.3390/su9122280 · DOI
  78. Yuan, 2018, Research on structural changes in outsourced technology in Chinese businesses in the context of innovation-driven development, China Soft Sci., 39
  79. Yun, 2015, Knowledge strategy and business model conditions for sustainable growth of SMEs, J. Sci. Tech. Policy Manage., 6, 246, 10.1108/JSTPM-01-2015-0002 · DOI
  80. Zeb, 2021, The competing value framework model of organizational culture, innovation and performance, Bus. Process. Manag. J., 27, 658, 10.1108/BPMJ-11-2019-0464 · DOI
  81. Zhang, 2017, Exploratory orientation, business model innovation and new venture growth, Sustainability, 10, 1, 10.3390/su10010056 · DOI
  82. Zhen, 2021, Nexus of digital organizational culture, capabilities, organizational readiness, and innovation: investigation of SMEs operating in the digital economy, Sustainability, 13, 720, 10.3390/su13020720 · DOI
  83. Zhou, 2019, How to dance together? Performance impact of interaction between service business model innovation and technological innovation, Sci. Tech. Progress Policy, 36, 92, 10.6049/kjjbydc.2019050328 · DOI

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Metadata

Authors
Yu, D., & Yan, H.
Affiliations
Nanchang University (CN)
Corresponding author
Yu, Dengke
ORCID
Yu, Dengke
Venue
Frontiers in Psychology
Publisher
Frontiers Media SA
Published
2021-05-25
Volume
12
Pages
663317-663317
ISSN
1664-1078 (ISSN-L)
DOI
10.3389/fpsyg.2021.663317
PMC
PMC8185048
OpenAlex
W3165372172
Cited by
22
References
1
Citations by year
2026: 7 · 2025: 1 · 2024: 4 · 2023: 7 · 2022: 3
FWCI
3.12
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (71962021)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Innovation
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
Keywords
knowledge base, innovation-driven development, organizational character, business model innovation, technological innovation, knowledge breadth, depth of knowledge, intangible resources, Chinese listed companies

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