Innovation Ambidexterity in High-Tech Startups The Role of Knowledge Integration and Digital Sensing Capabilities

Authors

    Amir Hossein Taherzadeh * Ph.D. student in Technology Management, Department of Industrial and Technology Management, Alborz Campus, University of Tehran, Tehran, Iran amir.taherzadeh@ut.ac.ir

Keywords:

Innovation ambidexterity, knowledge integration, digital sensing capabilities, exploratory innovation, exploitative innovation, high-tech startups, dynamic capabilities

Abstract

This study examined how knowledge integration and digital sensing capabilities influence innovation ambidexterity in high-tech startups through their effects on exploratory and exploitative innovation. A quantitative cross-sectional design was used to investigate relationships among knowledge integration, digital sensing capabilities, exploratory innovation, exploitative innovation, and innovation ambidexterity. Data were collected from founders, managers, and innovation leaders across high-tech startups operating in digitally intensive environments. A structured survey instrument measured all constructs using validated multi-item Likert scales covering knowledge management practices, digital sensing routines, and innovation activities. Confirmatory factor analysis was conducted to assess reliability and validity, followed by structural equation modeling to test direct and indirect effects. Model fit indices, standardized path coefficients, and bootstrap-based mediation estimates were computed to evaluate the hypothesized relationships. Knowledge integration significantly predicted exploratory innovation (β = 0.29, p < 0.001) and exploitative innovation (β = 0.24, p < 0.001), while digital sensing capabilities showed even stronger effects on exploratory innovation (β = 0.41, p < 0.001) and exploitative innovation (β = 0.33, p < 0.001). Exploratory innovation (β = 0.39, p < 0.001) and exploitative innovation (β = 0.34, p < 0.001) significantly predicted innovation ambidexterity, but neither knowledge integration nor digital sensing had significant direct effects on ambidexterity. Mediation analysis confirmed significant indirect effects for both capabilities through exploratory and exploitative innovation, with digital sensing demonstrating the strongest cumulative mediation effects (β = 0.27, p < 0.001). Innovation ambidexterity in high-tech startups emerges primarily through innovation processes rather than direct capability effects. Knowledge integration and digital sensing capabilities enhance ambidexterity only when translated into exploratory and exploitative innovation behaviors, highlighting the critical role of capability enactment and innovation routines in achieving simultaneous exploration and exploitation.

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References

Alnashmi, F., & Alkshali, S. J. (2023). The Impact of Dynamic Capabilities on Organizational Ambidexterity at Bahraini Private Universities. International Journal of Academic Research in Business and Social Sciences, 13(12). https://doi.org/10.6007/ijarbss/v13-i12/19719

Armariena, D. N. (2024). Collaborative Innovation Ecosystems Strengthening Sustainable Startup Growth in the Digital Economy. Startupreneur Business Digital (Sabda Journal), 4(2). https://doi.org/10.33050/sabda.v4i2.913

Cai, F., Bolisani, E., Kassaneh, T. C., Kirchner, K., & Moradi, B. (2024). How Does AI-Driven Knowledge Management Enhance Sustainability of Startups? A Conceptual Framework. European Conference on Knowledge Management, 26(1), 173-182. https://doi.org/10.34190/eckm.26.1.3733

Eng, T. Y., Mohsen, K., & Wu, L.-C. (2022). Wireless Information Technology Competency and Transformational Leadership in Supply Chain Management: Implications for Innovative Capability. Information Technology and People, 36(3), 969-995. https://doi.org/10.1108/itp-06-2021-0489

Hardy, T., Mandyam, M. G., Lloyd, R., Armentrout, C. J., George, N., Spencer, M. F., & Pellizzari, C. J. (2024). Deep Turbulence Sensing Using Digital Holography. 33. https://doi.org/10.1117/12.3028342

Hoessler, S., & Carbon, C. C. (2024). Guiding Incumbent Companies in Navigating Digital Transformations: A Qualitative Study on Structural Ambidexterity and Strategic Leadership. Journal of Entrepreneurship Management and Innovation, 20(4), 49-72. https://doi.org/10.7341/20242043

Hua, Q., Cacho-Soblechero, M., & Georgiou, P. (2021). A Multi-Sensing ISFET Array for Simultaneous in-Pixel Detection of Light, Temperature, Moisture and Ions. 1-5. https://doi.org/10.1109/iscas51556.2021.9401778

Järvenpää, A.-M., Jussila, J., Kunttu, L., & Kunttu, I. (2024). Organizational Learning Practices to Develop Digitalization Capabilities in Circular Economy SMEs. Circular Economy. https://doi.org/10.55845/ulpa5543

Jiang, H., Wang, Z. W., Chen, C., & Gai, J. (2024). How Managers’ Digital Literacy Promotes Ambidexterity Innovation: The Serial Mediating Role of Knowledge re-Orchestration And digital Capabilities. Business Process Management Journal, 31(8), 199-222. https://doi.org/10.1108/bpmj-05-2024-0672

Kaoud, M., & Dine, N. A. E. (2022). Digital Transformation in Marketing Through a Customer Knowledge Management Approach for Startups and SMEs: An EdTech Startup Case Study. International Journal of Innovation Management and Technology, 13(1), 25-31. https://doi.org/10.18178/ijimt.2022.13.1.916

Klochko, V. I., Клочко, О., & Fedorets, V. (2024). Mathematics for Digital Signal Processing: Series and Integrals of Fourier in Professional Training. Journal of Physics Conference Series, 3105(1), 012007. https://doi.org/10.1088/1742-6596/3105/1/012007

Lara-Pérez, J. A., Cruz, F. C., & Rubio, P. R. (2024). Scientific Mapping of Business Intelligence and Enterprise Resource Planning From 2003 To 2022. Bm, 34(3). https://doi.org/10.58861/tae.bm.2024.3.02

Liao, S., Hu, Q., & Wei, J. (2023). How to Leverage Big Data Analytic Capabilities for Innovation Ambidexterity: A Mediated Moderation Model. Sustainability, 15(5), 3948. https://doi.org/10.3390/su15053948

Mishra, A. N., & Pani, A. K. (2020). Business Value Appropriation Roadmap for Artificial Intelligence. VINE Journal of Information and Knowledge Management Systems, 51(3), 353-368. https://doi.org/10.1108/vjikms-07-2019-0107

Motamedimoghadam, M., Silva, M. M. d., & Amaral, M. (2024). Organizational Capabilities for Digital innovation: A Systematic Literature Review. European Journal of Innovation Management, 28(7), 3024-3048. https://doi.org/10.1108/ejim-02-2024-0227

Muis, I. (2024). The Effects of Knowledge Management, Digital Leadership and Organizational Culture on Employee Performance. Sjam, 3(1), 1-16. https://doi.org/10.38035/sjam.v3i1.411

Nie, Y., Luo, X., & Yu, Y. (2022). A Vision Sensing-Enhanced Knowledge Graph Inference Method for a Healthy Operation Index in Higher Education. Mathematical Biosciences and Engineering, 20(2), 3731-3748. https://doi.org/10.3934/mbe.2023175

Nofiani, D., & Fietroh, M. N. (2023). Exploring the Ambidexterity of Learning in Indonesian Start-Up: Moderated-Mediated. 82-89. https://doi.org/10.2991/978-94-6463-328-3_10

Prado, J. C. A. (2020). Relationship Between Organizational Climate and Innovation Capability in New Technology-Based Firms. Journal of Open Innovation Technology Market and Complexity, 6(2), 28. https://doi.org/10.3390/joitmc6020028

Puspadi, M. P. (2024). Eksplorasi Faktor Internal Dan Eksternal Dalam Implementasi Dynamic Managerial Capabilities Pada PT. Bixbox Teknologi Perkasa. Jurnal Locus Penelitian Dan Pengabdian, 4(8), 8208-8216. https://doi.org/10.58344/locus.v4i8.4761

R, M. V., P, E. I., L, V. M., P, A. P., & V, N. Y. (2021). Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data. Remote Sensing, 13(20), 4092. https://doi.org/10.3390/rs13204092

Reyes-Sánchez, J. D. J. (2024). Gen Alpha and Continuous Learning to Strengthen Organizational Culture in Digitally Converged Corporate Environments. 205-236. https://doi.org/10.4018/979-8-3373-3987-0.ch008

Rivera, L. D. F., & Tamayo, C. F. M. (2024). Estrategias De Aprendizaje Digital en Entornos Virtuales Educativos. Revista innova educación, 6(2), 7-22. https://doi.org/10.35622/j.rie.2024.02.001

Saputro, A., Riyadi, S., David, D., & Muhdaliha, E. (2024). Transformasi Digital Dan Inovasi Model Bisnis: Strategi Meningkatkan Kinerja Operasional Berkelanjutan Berbasis Kapabilitas Dinamis. Indo-Mathedu Intellectuals Journal, 6(4), 5259-5272. https://doi.org/10.54373/imeij.v6i4.3442

Secundo, G., Turi, I. D., Garzoni, A., Posa, M., & Barile, D. (2024). Unveiling Knowledge Practices and Microfoundations of Knowledge-Based Dynamic Capabilities for Digital Transformation in SMEs Through Industry–university Perspective. Journal of Knowledge Management. https://doi.org/10.1108/jkm-02-2024-0244

Singh, B., Jermsittiparsert, K., & Kumar, S. (2024). Global Digital Education Fostering Digital Citizens. 377-392. https://doi.org/10.4018/979-8-3693-9286-7.ch018

Syed, M. T., Kadhum, M. M., & Khan, M. S. (2024). The Impact of Emerging Technologies on Entrepreneurial Ecosystems and Startup Growth. Sl, 5(4), 12-16. https://doi.org/10.51470/esl.2024.5.4.12

Tingey, K. B. (2024). AI Comments: Leveraging the Global Knowledge Corpus, One Way or Another. JKMP, 25(4). https://doi.org/10.62477/jkmp.v25i4.538

Wetering, R. v. d., & Versendaal, J. (2021a). Information Technology Ambidexterity, Digital Dynamic Capability, and Knowledge Processes as Enablers of Patient Agility: Empirical Study. Jmirx Med, 2(4), e32336. https://doi.org/10.2196/32336

Wetering, R. v. d., & Versendaal, J. (2021b). Information Technology Ambidexterity, Digital Dynamic Capability, and Knowledge Processes as Enablers of Patient Agility: Empirical Study (Preprint). https://doi.org/10.2196/preprints.32336

Wetering, R. v. d., & Versendaal, J. (2021c). The Role of IT Ambidexterity, Digital Dynamic Capability and Knowledge Processes as Enablers of Patient Agility: An Empirical Study. https://doi.org/10.1101/2021.07.20.21260841

Xin, W., & Li, Z. (2024). Research on the Influence Mechanism of the Digital Capability ofChinese Manufacturing Enterprises on Organizational Resilience. Ucjc BSR, 21(80). https://doi.org/10.3232/ubr.2024.v21.n1.10

Yesuf, Y. (2024). Artificial Intelligence Adoption as a Driver of Innovation and Competitiveness in SMEs: A Bibliometric and Systematic Review. F1000research, 14, 1187. https://doi.org/10.12688/f1000research.171494.1

Zhang, J., Sherani, M., Riaz, M., Zia, U., Ali, S., & Liu, J. (2024). Digital Innovation in Software SMEs: The Synergy of Digital Entrepreneurship Opportunities, Knowledge Generation and Market-Sensing Capabilities via Moderated–mediation Approach. Business Process Management Journal. https://doi.org/10.1108/bpmj-04-2024-0286

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Published

2024-03-30

Submitted

2024-01-03

Revised

2024-03-08

Accepted

2024-03-12

How to Cite

Taherzadeh, A. H. (2024). Innovation Ambidexterity in High-Tech Startups The Role of Knowledge Integration and Digital Sensing Capabilities. Digital Transformation and Administration Innovation, 2(1), 122-132. https://journaldtai.com/index.php/jdtai/article/view/230

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