INNOVATION BEHAVIOR AND TECHNOLOGY USE OF ORGANIZATIONS: EVIDENCE FROM EUROPEAN AND CENTRAL ASIAN COUNTRIES

Year 2024, Volume: 7 Issue: 12, 66 - 85, 31.08.2024

Burak Nedim Aktaş

Abstract

This study examines organizational innovation and technology use in 31 European and Central Asian countries using data from the World Bank Enterprise Survey of 2019. Using six key variables, the study compares the organizational innovation and technology adoption rates of various nations in the region. Also, the study seeks to address questions about geographical differences in technology use and innovation, notable differences in organizational innovation and technology usage, and which countries have the greatest and lowest rates. The results show that Slovenia had the highest ranking out of all the countries, followed by Latvia and the Czech Republic. On the contrary, Bulgaria, Lithuania, and Montenegro had the lowest scores. To fully understand the causes of the disparities in rates among the nations, additional study would be required, as the dataset does not provide information on the factors that contribute to the higher rates in the top-rated countries. In addition, taking into account the limitations, suggestions have been made based on the results. The findings would be helpful to researchers, policymakers, and executives in the region to better understand how technology adoption and innovation differ across countries.

Keywords

Organizational innovation, Technology use, Product innovation, Process innovation, R&D

İŞLETMELERDE İNOVASYON DAVRANIŞI VE TEKNOLOJİ KULLANIMI: AVRUPA VE ORTA ASYA ÜLKELERİ ÖRNEĞİ

Abstract

Bu araştırma, 2019 Dünya Bankası İşletme Anketi'nden elde edilen veri setini kullanarak 31 Avrupa ve Orta Asya ülkesindeki örgütsel inovasyon ve teknoloji kullanımını araştırmaktadır. Çalışma, bölgedeki farklı ülkelerin teknoloji kullanım oranlarını ve örgütsel yenilik davranışlarını karşılaştırmak amacıyla altı ana yenilik ve teknoloji değişkenine odaklanmıştır. Analiz, bölgedeki teknoloji kullanımı ve yeniliklerindeki farklılıkların nedenlerine, firmalar arasındaki yenilik ve teknoloji kullanımındaki önemli farklılıklara ve hangi ülkelerin en yüksek ve/veya en düşük teknoloji kullanımı ve yenilik oranlarına sahip olduğuna dair sorulara cevap aramaktadır. Bulgular, Slovenya'nın tüm ülkeler arasında en yüksek puanı aldığını, onu Letonya ve Çek Cumhuriyeti'nin takip ettiğini göstermektedir. Karadağ, Litvanya ve Bulgaristan en düşük puanları alan ülkelerdir. Veri seti, en yüksek puan alan ülkelerdeki yüksek oranların nedenlerine dair bilgi sağlamamaktadır. Bu nedenle ülkeler arasındaki farklılıkların nedenlerini tam olarak anlayabilmek adına ileri araştırmalara ihtiyaç vardır.

Keywords

Örgütsel inovasyon, Teknoloji kullanımı, Ürün yeniliği, Süreç yeniliği, Ar-Ge

References

• Abdullah, N. H., Shamsuddin, A., Wahab, E. & Hamid, N. A. (2012). Preliminary qualitative findings on technology adoption of malaysian SMEs. 2012 IEEE Colloquium on Humanities, Science and Engineering (CHUSER), (pp. 15-20).
• Arthur, E. E. & Stejskal, J. (2022). Managing knowledge towards firm performance: The moderation role of the business environment. Proceedings of the 23rd European Conference on Knowledge Management, ECKM, (pp. 44-51).
• Bigos, K. & Michalik, A. (2020). The influence of innovation on international new ventures’ exporting in Central and Eastern Europe and Central Asia countries. Entrepreneurial Business and Economics Review, 8(3), 47-63.
• Broughel, J. & Thierer, A. (2019). Technological innovation and economic growth: A brief report on the evidence. Mercatus Research, Mercatus Center at George Mason University.
• Bruque, S. & Moyano, J. (2007). Organisational determinants of information technology adoption and implementation in SMEs: The case of family and cooperative firms. Technovation, 27(5), 241-253.
• Camisón, C. & Villar-López, A. (2014). Organizational innovation as an enabler of technological innovation capabilities and firm performance. Journal of Business Research, 67(1), 2891-2902.
• Cirera, X. & Maloney, W. F. (2017). The innovation paradox: Developing-country capabilities and the unrealized promise of technological catch-up. Washington DC: The World Bank Group.
• Cirera, X. & Sabetti, L. (2019). The effects of innovation on employment in developing countries: Evidence from enterprise surveys. Industrial and Corporate Change, 28(1), 161–176.
• Cresswell, K. & Sheikh, A. (2013). Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review. International Journal of Medical Informatics, 82(5), 73-86.
• Dao, N. Q. (2022). Innovation in corrupt environments: Firm strategies to cope with political corruption. AMJ Paper Workshop Development: Making Theoretical and Practical Impact. Amsterdam.
• Ensminger, D. C., Surry, D. W. & Porter, B. E. (2004). Factors contributing to the successful implementation of technology innovations. International Forum of Educational Technology & Society, 7(3), 61-72.
• European Investment Bank, EIB. (2022). Business resilience in the pandemic and beyond: Adaptation, innovation, financing and climate action from Eastern Europe to Central Asia. The European Investment Bank.
• Freeman, C. & Soete, L. L. (2007). Developing science, technology and innovation indicators: What we can learn from the past. Maastricht Economic and Social Research and Training Centre on Innovation and Technology Working Papers, No. 001.
• Galindo-Rueda, F., Verger, F. & Ouellet, S. (2020). Patterns of innovation, advanced technology use and business practices in canadian firms. OECD Science, Technology and Industry Working Papers, No. 2020/02. Paris: OECD Publishing.
• Hamel, G. (2006). The why, what, and how of management innovation. Harvard Business Review, 84(2), 72–84.
• Heidenreich, S. & Talke, K. (2020). Consequences of mandated usage of innovations in organizations: Developing an innovation decision model of symbolic and forced adoption. Academy of Marketing Science, 10, 279–298.
• Hooks, D., Davis, Z., Agrawal, V. & Li, Z. (2022). Exploring factors influencing technology adoption rate at the macro level: A predictive model. Technology in Society, 68(4).
• Kabadurmus, O. & Kabadurmus, F. N. (2019). Innovation in Eastern Europe and Central Asia: A multi-criteria decision-making approach. BMIJ, 7(3), 1-22.
• Kai‐ming Au, A. & Enderwick, P. (2000). A cognitive model on attitude towards technology adoption. Journal of Managerial Psychology, 15(4), 266-282.
• Khatiwada, S. & Arao, R. M. (2020). Landscape of innovation in developing asia: Firm-level perspective. Backround Paper: Asian Development Outlook, 1-21.
• Le Bas, C., Mothe, C. & Nguyen-Thi, T. U. (2015). The differentiated impacts of organizational innovation practices on technological innovation persistence. European Journal of Innovation Management, 18, 110-127.
• Link, A. N. (2021). Investments in R&D and innovative behavior: An exploratory cross-country study. International Entrepreneurship and Management Journal, 17, 731–739.
• Marceau, J. (2008). Innovation in the city and innovative cities. Innovation: Management, Policy and Practice, 10, 136–145.
• Mirvis, P. H., Sales, A. L. & Hackett, E. J. (1991). The implementation and adoption of new technology in organizations: The impact on work, people, and culture. Human Resource Management, 30(1), 113-139.
• Mohsen, K., Saeed, S., Raza, A., Omar, S. & Muffatto, M. (2021). Does using latest technologies impact new venture innovation? A contingency-based view of institutional environments. Journal Small Business Management, 59(4), 852-886.
• Nguyen, T. H., Newby, M. & Macaulay, M. J. (2019). Information technology adoption in small business: Confirmation of a proposed framework. Journal of Small Business Management, 53(1), 207-227.
• OECD. (2005). The measurement of scientific and technological activities oslo manual guidelines for collecting and interpreting innovation data. Paris: OECD EUROSTAT.
• OECD. (2023). OECD Economic Surveys: Türkiye 2023. Paris: OECD Publishing.
• Pál, R., Ficarra, M., Gökten, M. G., Harasztosi, P. & Weiss, C. (2022). Trade participation, innovation and competitiveness. European Investment Bank (EIB).
• Radu, C., Radu, P. & Robert, B. (2013). Innovation: A path to competitiveness and economic growth. The case of CEE countries. Theoretical and Applied Economics, 5(582), 15-26.
• Suebsin, C. & Gerdsri, N. (2009). Key factors driving the success of technology adoption: Case examples of ERP adoption. Portland International Conference on Management of Engineering & Technology, 2638-2643.
• The World Bank Enterprise Survey. (2019). Comparing economies and topics. Retrieved from enterprise surveys what businesses experience: https://www.enterprisesurveys.org/en/custom-query.
• The World Bank Group. (2023). World Bank national accounts data. Retrieved from the world bank group: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2021&most_recent_year_desc=true&start=1990&view=chart.
• Witte, L. D., Steel, E., Gupta, S., Ramos, V. D. & Roentgen, U. (2018). Assistive technology provision: Towards an international framework for assuring availability and accessibility of affordable high-quality assistive technology. Disability and Rehabilitation: Assistive Technology, 467-472.