Açık İnovasyon, Örgütsel Çeviklik ve Firma Performansı İlişkisi

Yıl 2023, Cilt: 23 Sayı: 3, 1781 - 1794, 30.11.2023

Salih Zeki İmamoğlu , Serhat Erat , Veciye Taşcı

https://doi.org/10.11616/asbi.1328991

Öz

Bu çalışmanın amacı açık inovasyon, örgütsel çeviklik ve firma performansı arasındaki ilişkiyi araştırmaktır. Küreselleşen ve sürekli değişen iş çevresinde sürdürülebilir bir şekilde rekabet edebilmek için örgütlerin performanslarını sürekli iyileştirmesi gerekmektedir. Açık inovasyon, bunun önemli yollarından biridir. Öbür taraftan piyasanın ve teknolojinin her an değişmesi, organizasyonların çevik bir yapı sergileyerek değişimlere hızlı cevap verebilmelerini ve dinamik koşullarda inovatif olmalarını zaruri kılmaktadır. Bu noktada açık inovasyon, örgütsel çeviklik ve firma performansı arasındaki ilişkinin ampirik olarak incelenmesi önem arz etmektedir. Çalışma kapsamında Gebze-Kocaeli bölgesinde imalat sanayiinde faaliyet gösteren 200 firmadaki çalışandan anket yoluyla veriler elde edilmiş ve AMOS’ta Yapısal Eşitlik Modeli kullanılarak analiz edilmiştir. Analiz sonuçlarına göre açık inovasyon ve örgütsel çeviklik, örgütsel çeviklik ve firma performansı ile açık inovasyon ve firma performansı arasında istatistiksel olarak anlamlı ve pozitif bir ilişki vardır.

Anahtar Kelimeler

Açık inovayon, Örgütsel Çeviklik, Firma Performansı

The Relationship Between Open Innovation, Organizational Agility and Firm Performance

Öz

The purpose of this study is to empirically investigate the relationship between open innovation, organizational agility and firm performance. To compete in the globalizing and changing business environment, firms need to continuously improve their performance. Open innovation is one powerful way of achieving this. The constant change of the market and technology requires organizations to act agilely and being innovative under dynamic conditions. Therefore, analyzing their relationship with firm performance is crucial. To this end, data were obtained from employees of 200 companies operating in the manufacturing industry in Kocaeli region through a survey. Data were analyzed by exploiting the Structural Equation Modeling. Findings demonstrate a statistically significant and positive relationship between open innovation and organizational agility, organizational agility and firm performance as well as open innovation and firm performance.

Anahtar Kelimeler

Open Innovation, Organizational Agility, Firm Performance

Kaynakça

• Abdelilah, B., El Korchi, A., ve Balambo, M. A. (2018), Flexibility and Agility: Evolution and Relationship, Journal of Manufacturing Technology Management, 29(7), s.1138-1162.
• Bagozzi, R. P., ve Yi, Y. (1988), On the Evaluation of Structural Equation Models, Journal of the Academy of Marketing Science, 16, s.74-94.
• Bogers, M., Chesbrough, H., ve Moedas, C. (2018), Open Innovation: Research, Practices, and Policies, California Management Review, 60(2), s.5-16.
• Bottani, E. (2009), A Fuzzy QFD Approach to Achieve Agility, International Journal of Production Economics, 119(2), s.380-391.
• Cassiman, B., ve Valentini, G. (2016), Open Innovation: Are Inbound and Outbound Knowledge Flows Really Complementary, Strategic Management Journal, 37(6), s.1034-1046.
• Cegarra-Navarro, J. G., Soto-Acosta, P., ve Wensley, A. K. (2016), Structured Knowledge Processes and Firm Performance: The Role of Organizational Agility, Journal of Business Research, 69(5), s.1544-1549.
• Cepeda, J., ve Arias-Pérez, J. (2019), Information Technology Capabilities and Organizational Agility: The Mediating Effects of Open Innovation Capabilities, Multinational Business Review, 27(2), s.198-216.
• Chakravarty, A., Grewal, R., ve Sambamurthy, V. (2013), Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles, Information Systems Research, 24(4), s.976-997.
• Chesbrough, H. (2005), Open Innovation: A New Paradigm for Understanding Industrial Innovation, http://www.joelwest.org/Research/OIRNP/Chapters/01.pdf, (Erişim Tarihi: 01.06.2023)
• Chesbrough, H. W. (2006), The Era of Open Innovation, Managing Innovation and Change, 127(3), s.34-41.
• Chesbrough, H., ve Brunswicker, S. (2014), A Fad or a Phenomenon: The Adoption of Open Innovation Practices in Large Firms, Research-Technology Management, 57(2), s.16-25.
• Dahlander, L., ve Gann, D. M. (2010), How Open is Innovation, Research Policy, 39(6), s.699-709.
• Felin, T., ve Zenger, T. R. (2014), Closed or Open Innovation? Problem Solving and the Governance Choice, Research Policy, 43(5), s.914-925.
• Gefen, D., Straub, D., ve Boudreau, M. C. (2000), Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of the Association for Information Systems, 4(1), s.2-77.
• Granstrand, O., ve Holgersson, M. (2020), Innovation Ecosystems: A Conceptual Review and a New Definition, Technovation, 90, 102098.
• Gunasekaran, A., Yusuf, Y. Y., Adeleye, E. O., ve Papadopoulos, T. (2018), Agile Manufacturing Practices: The role of Big Data and Business Analytics with Multiple Case Studies, International Journal of Production Research, 56(1-2), s.385-397.
• Harraf, A., Wanasika, I., Tate, K., ve Talbott, K. (2015), Organizational Agility, Journal of Applied Business Research (JABR), 31(2), s.675-686.
• Hazen, B. T., Bradley, R. V., Bell, J. E., In, J., ve Byrd, T. A. (2017), Enterprise Architecture: A Competence-Based Approach to Achieving Agility and Firm Performance, International Journal of Production Economics, 193, s.566-577.
• Hung, K. P., ve Chou, C. (2013), The Impact of Open Innovation on Firm Performance: The Moderating Effects of Internal R&D and Environmental Turbulence, Technovation, 33(10-11), s.368-380.
• Inman, R. A., Sale, R. S., Green Jr, K. W., ve Whitten, D. (2011), Agile Manufacturing: Relation to JIT, Operational Performance and Firm Performance, Journal of Operations Management, 29(4), s.343-355.
• Kline, R. B. (1998), Software Review: Software Programs for Structural Equation Modeling: Amos, EQS, and LISREL, Journal of Psychoeducational Assessment, 16(4), s.343-364.
• Laursen, K., ve Salter, A. J. (2014), The Paradox of Openness: Appropriability, External Search and Collaboration, Research Policy, 43(5), s.867-878.
• Le, H. T. T., Dao, Q. T. M., Pham, V. C., ve Tran, D. T. (2019), Global Trend of Open Innovation Research: A Bibliometric Analysis, Cogent Business & Management, 6(1), 1633808.
• Leiponen, A., ve Helfat, C. E. (2010), Innovation Objectives, Knowledge Sources, and the Benefits of Breadth, Strategic Management Journal, 31(2), s.224-236.
• Li, L. (2022), Digital Transformation and Sustainable Performance: The Moderating Role of Market Turbulence, Industrial Marketing Management, 104, s.28-37.
• Lopes, A. P. V. B. V., ve de Carvalho, M. M. (2018), Evolution of the Open Innovation Paradigm: Towards a Contingent Conceptual Model, Technological Forecasting and Social Change, 132, s.284-298.
• Lu, Y., ve Ramamurthy, K. R. (2011), Understanding the Link Between Information Technology Capability and Organizational Agility: An Empirical Examination, MIS Quarterly, 35(4), s.931-954.
• MacCallum, R. C., Browne, M. W., ve Sugawara, H. M. (1996), Power Analysis and Determination of Sample Size for Covariance Structure Modeling, Psychological Methods, 1(2), s.130-149.
• Medase, S. K., ve Abdul-Basit, S. (2020), External Knowledge Modes and Firm-Level Innovation Performance: Empirical Evidence From Sub-Saharan Africa, Journal of Innovation & Knowledge, 5(2), s.81-95.
• Mishra, S., Sankar Mahapatra, S., ve Datta, S. (2014), Agility Evaluation in Fuzzy Context: Influence of Decision-makers’ Risk Bearing Attitude, Benchmarking: An International Journal, 21(6), s.1084-1119.
• Nafei, W. A. (2016), Organizational Agility: The Key to Improve Organizational Performance, International Business Research, 9(3), s.97-111.
• Naqshbandi, M. M. (2016), Managerial Ties and Open Innovation: Examining the Role of Absorptive Capacity, Management Decision, 54(9), s.2256-2276.
• Naqshbandi, M. M., ve Jasimuddin, S. M. (2022), The Linkage Between Open Innovation, Absorptive Capacity and Managerial Ties: A Cross-Country Perspective, Journal of Innovation & Knowledge, 7(2), 100167.
• Nunnally, J. C, ve Bernstein, I. H. (1994), Psychometric Theory, New York: McGraw-Hill.
• Popa, S., Soto-Acosta, P., ve Martinez-Conesa, I. (2017), Antecedents, Moderators, and Outcomes of Innovation Climate and Open Innovation: An Empirical Study in SMEs, Technological Forecasting and Social Change, 118, s.134-142.
• Pellizzoni, E., Trabucchi, D., ve Buganza, T. (2019), When Agility Meets Open Innovation: Two Approaches to Manage Inbound Projects, Creativity and Innovation Management, 28(4), s.464-476.
• Sambamurthy, V., Bharadwaj, A., ve Grover, V. (2003), Shaping Agility Through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms, MIS Quarterly, s.237-263.
• Sharifi, H., ve Zhang, Z. (2001), Agile Manufacturing in Practice‐Application of a Methodology, International Journal of Operations & Production Management, 21(5/6), s.772-794.
• Sindhwani, R., ve Malhotra, V. (2017), A Framework to Enhance Agile Manufacturing System: A Total Interpretive Structural Modelling (TISM) Approach, Benchmark International Journal 24(2), s.467–487.
• Singh, S. K., Del Giudice, M., Tarba, S. Y., ve De Bernardi, P. (2019), Top Management Team Shared Leadership, Market-oriented Culture, Innovation Capability, and Firm Performance, IEEE Transactions on Engineering Management, 69(6), s.2544-2554.
• Singh, S. K., Gupta, S., Busso, D., ve Kamboj, S. (2021), Top Management Knowledge Value, Knowledge Sharing Practices, Open Innovation and Organizational Performance, Journal of Business Research, 128, s.788-798.
• Sivam, A., Dieguez, T., Ferreira, L. P., ve Silva, F. J. (2019), Key Settings for Successful Open Innovation Arena, Journal of Computational Design and Engineering, 6(4), s.507-515.
• Tallon, P. P., ve Pinsonneault, A. (2011), Competing Perspectives on the Link Between Strategic Information Technology Alignment and Organizational Agility: Insights from a Mediation Model, MIS Quarterly, 35(2), s.463–486.
• Teece, D.J., Peteraf, M., ve Leih, S. (2016), Dynamic Capabilities and Organizational Agility: Risk, Uncertainty, and Strategy in the Innovation Economy, California Management Review, 58(4), s.13–35.
• Tseng, Y. H., ve Lin, C. T. (2011), Enhancing Enterprise Agility by Deploying Agile Drivers, Capabilities and Providers, Information Sciences, 181(17), s.3693-3708.
• Van de Vrande, V., De Jong, J. P., Vanhaverbeke, W., ve De Rochemont, M. (2009), Open Innovation in SMEs: Trends, Motives and Management Challenges, Technovation, 29(6-7), s.423-437.
• Van Oosterhout, M., Waarts, E., ve Van Hillegersberg, J. (2006), Change Factors Requiring Agility and Implications for IT, European Journal of Information Systems, 15(2), s.132-145.
• Vázquez‐Bustelo, D., Avella, L., ve Fernández, E. (2007), Agility Drivers, Enablers and Outcomes: Empirical Test of an Integrated Agile Manufacturing Model, International Journal of Operations & Production Management, 27(12), s.1303-1332.
• Wang, C. H., Chang, C. H., ve Shen, G. C. (2015), The Effect of Inbound Open Innovation on Firm Performance: Evidence from High-tech Industry, Technological Forecasting and Social Change, 99, s.222-230.
• Wang, T., Wu, J., Gu, J., ve Hu, L. (2020), Impact of Open Innovation on Organizational Performance in Different Conflict Management Styles: Based on Resource Dependence Theory, International Journal of Conflict Management, 32(2), s.199-222.
• Zhang, S., Yang, D., Qiu, S., Bao, X., ve Li, J. (2018), Open Innovation and Firm Performance: Evidence from the Chinese Mechanical Manufacturing Industry, Journal of Engineering and Technology Management, 48, s.76-86.
• Žitkienė, R., ve Deksnys, M. (2018), Organizational Agility Conceptual Model, Montenegrin Journal of Economics, 14 (2), s.115-129.