INVESTIGATING VALUE CREATION AND COMPETITIVE ADVANTAGE OF DIGITAL ECOSYSTEMS: NEXT-GENERATION COLLABORATION AND BIG DATA ENVIRONMENTS

Abstract

Purpose- The purpose of this article is to examine the potential of digital ecosystems in creating value and providing a competitive advantage for businesses and industries. Additionally, it aims to provide an understanding of how digital ecosystems function within a big data environment. Methodology- This study presents a general understanding of digital ecosystems and big data by reviewing previous research and literature. Focusing on two critical advantages of digital ecosystems in creating value and providing a competitive advantage, the analysis is conducted using example companies such as Amazon, Apple, and UBER. Findings- Digital ecosystems emerge as complex and dynamic structures that enable value creation processes and collaboration among technology, businesses, and users. These structures significantly differ from traditional collaborative ecosystems by relying on digital technologies and platforms for value creation processes. A successful digital ecosystem is based on three main elements: platform, network effects, and market expectations. Big data is considered one of the fundamental components of digital ecosystems and has the potential to increase their effectiveness and value. Conclusion- Digital ecosystems allow businesses and industries to increase their productivity, gain a competitive advantage, and achieve sustainable growth. In particular, big data analytics can be used to optimize the performance and decision-making processes of digital ecosystems. Examples such as Amazon, Apple, and UBER demonstrate the potential of digital ecosystems in creating value and providing a competitive advantage. Therefore, it is crucial for businesses to adopt digital transformation and innovation to benefit from the advantages offered by digital ecosystems.

Keywords

• Digital ecosystems
• big data
• value creation
• competition

YENİ NESİL İŞBİRLİĞİ VE BÜYÜK VERİ ORTAMI DİJİTAL EKOSİSTEMLERİN DEĞER YARATMA VE REKABET AVANTAJLARININ İNCELENMESİ

Abstract

Amaç- Bu makale, dijital ekosistemlerin işletmeler ve endüstriler için değer yaratma ve rekabet avantajı sağlama potansiyelini incelemeyi amaçlamaktadır. Ayrıca, dijital ekosistemlerin büyük veri ortamında nasıl işlev gösterdiğine dair kavrayış sağlamayı hedeflemektedir. Yöntem- Bu çalışma, dijital ekosistemler ve büyük veri hakkında önceki araştırmaları ve literatürü gözden geçirerek genel bir anlayış sunmaktadır. Dijital ekosistemlerin değer yaratma ve rekabet avantajı sağlama konularındaki iki kritik avantajına odaklanarak, Amazon, Apple ve UBER gibi örnek şirketler üzerinden analiz yapılmıştır. Bulgular- Dijital ekosistemler, teknoloji, işletmeler ve kullanıcılar arasında etkileşime girerek değer yaratma süreçlerini gerçekleştiren ve işbirliği yapan karmaşık ve dinamik yapılar olarak ortaya çıkmaktadır. Bu yapılar, geleneksel işbirlikçi ekosistemlerden dijital teknolojiler ve platformlar aracılığıyla değer yaratma süreçlerine dayanarak önemli ölçüde farklılaşmaktadır. Başarılı bir dijital ekosistem, platform, ağ etkileri ve pazar beklentisi gibi üç ana unsura dayanmaktadır. Büyük veri, dijital ekosistemlerin temel bileşenlerinden biri olarak kabul edilmekte ve ekosistemlerin etkinliği ve değerini artırma potansiyeline sahiptir. Sonuç- Dijital ekosistemler, işletmelerin ve endüstrilerin verimliliklerini artırarak, rekabet avantajı elde etmelerine ve sürdürülebilir büyüme sağlamalarına olanak tanımaktadır. Özellikle büyük veri analitiği, dijital ekosistemlerin performansını ve karar verme süreçlerini optimize etmek için kullanılabilir. Amazon, Apple ve UBER gibi örnekler, dijital ekosistemlerin değer yaratma ve rekabetçi avantaj sağlama potansiyelini göstermektedir. Bu nedenle, işletmelerin dijital dönüşüm ve inovasyonu benimseyerek, dijital ekosistemlerin sunduğu avantajlardan yararlanmaları önem taşımaktadır

Keywords

• Dijital ekosistem
• büyük veri
• değer yaratma
• rekabet

References

1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., ... & Kudlur, M. (2016). TensorFlow: A system for large-scale machine learning. OSDI, 16, 265-283.
2. Adner, R. (2017). Ecosystem as structure: An actionable construct for strategy. Journal of Management, 43(1), 39-58.
3. Adner, R., & Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306-333.
4. Amit, R., & Zott, C. (2001). Value creation in e-business. Strategic Management Journal, 22(6-7), 493-520.
5. Amit, R., & Zott, C. (2012). Creating value through business model innovation. MIT Sloan Management Review, 53(3), 41-49.
6. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805.
7. Autio, E., & Thomas, L. D. (2014). Innovation ecosystems: Implications for innovation management? In The Oxford Handbook of Innovation Management, 204-228.
8. Basole, R. C., Karla, J., & Schiavone, G. (2015). Understanding business ecosystem dynamics: A data-driven approach. ACM Transactions on Management Information Systems (TMIS), 6(2), 1-32.

9. Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471-482.
10. Boudreau, K. J. (2010). Open platform strategies and innovation: Granting access vs. devolving control. Management Science, 56(10), 1849-1872.
11. Bughin, J., Chui, M., & Manyika, J. (2016). An executive's guide to the Internet of Things. McKinsey Quarterly, 3, 86-95.
12. Burtch, G., Carnahan, S., & Greenwood, B. N. (2018). Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Management Science, 64(12), 5497-5520.
13. Carpaneto, P., Mannino, I., & Pareschi, P., & Toppeta, D. (2021). Artificial Intelligence and Machine Learning in the energy sector: A systematic review of methods, applications and challenges. Renewable and Sustainable Energy Reviews, 143, 110954.
14. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188.
15. Chen, M. K., Rossi, P. E., Chevalier, J. A., & Oehlsen, E. (2019). The value of flexible work: Evidence from Uber drivers. Journal of Political Economy, 127(6), 2735-2794.
16. Chesbrough, H. (2006). Open innovation: A new paradigm for understanding industrial innovation. In Open innovation: Researching a new paradigm, 1-12.
17. Chesbrough, H. W. (2003). Open innovation: The new imperative for creating and profiting from technology. Boston: Harvard Business School Press.
18. Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2011). Supply networks and complex adaptive systems: Control versus emergence. Journal of Operations Management, 29(3), 116-128.
19. Choudrie, J., Zamani, E. D., & Giaglis, G. M. (2018). Factors affecting the adoption of e-government services in developing countries: A systematic literature review. Electronic Government, 15(2), 178-198.
20. Cohen, P., & Sundararajan, A. (2015). Self-regulation and innovation in the peer-to-peer sharing economy. University of Chicago Law Review Dialogue, 82, 116-133.
21. Cusumano, M. A. (2015). How traditional firms must compete in the sharing economy. Communications of the ACM, 58(1), 32-34.
22. Davenport, T. H. (2014). Big data at work: Dispelling the myths, uncovering the opportunities. Harvard Business Press.
23. Eisenmann, T., Parker, G., & Van Alstyne, M. W. (2006). Strategies for two-sided markets. Harvard Business Review, 84(10), 92-101.
24. Gawer, A., & Cusumano, M. A. (2014). Industry platforms and ecosystem innovation. Journal of Product Innovation Management, 31(3), 417-433.
25. Gawer, A., & Cusumano, M. A. (2014). Industry Platforms and Ecosystem Innovation. Journal of Product Innovation Management, 31(3), 417-433.
26. Gupta, S., Hanssens, D., Hardie, B., Kahn, W., Kumar, V., Lin, N., ... & Sriram, S. (2019). Is academic marketing research in decline? Journal of Marketing, 83(4), 8-23.
27. Hendrickson, L., Bucy, M., & Raja, U. (2015). An analysis of the impact of Amazon Web Services' growth on traditional IT infrastructure providers. Journal of Internet Commerce, 14(2), 169-188.
28. Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
29. Huang, P., Ceccagnoli, M., Forman, C., & Wu, D. J. (2017). Appropriability mechanisms and the platform partnership decision: Evidence from enterprise software. Management Science, 63(4), 1026-1044.
30. Iansiti, M., & Levien, R. (2004). The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Harvard Business Press.
31. Khan, L. (2018). Amazon's antitrust paradox. Yale Law Journal, 126(3), 710-805.
32. Kohler, T., Fueller, J., Matzler, K., & Stieger, D. (2018). Entrepreneurial orientation and corporate innovation: the role of product and community co-creation. International Journal of Entrepreneurial Venturing, 10(5), 523-543.
33. Laney, D. (2001). 3D data management: Controlling data volume, velocity, and variety. META Group Research Note, 6(70), 1.
34. Li, F., Nucciarelli, A., Roden, S., & Graham, G. (2018). How smart cities transform operations models: A new research agenda for operations management in the digital economy. Production Planning & Control, 29(3), 239-251.
35. Lusch, R. F., & Nambisan, S. (2015). Service innovation: A service-dominant logic perspective. MIS Quarterly, 39(1), 155-175.
36. Moriarty, S., Mitchell, R. D., Wells, W. D., Crawford, R., Brennan, L., & Spence-Stone, R. (2012). Advertising: Principles and practice. Pearson Higher Education AU.
37. Muzellec, L., & O'Raghallaigh, E. (2018). Branding in the platform economy: An exploratory study of Airbnb. Journal of Product & Brand Management, 27(5), 487-497.
38. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf
39. Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223-238.
40. Overby, E., Bharadwaj, A., & Sambamurthy, V. (2006). Enterprise agility and the enabling role of information technology. European Journal of Information Systems, 15(2), 120-131.
41. Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform Revolution: How Networked Markets Are Transforming the Economy - and How to Make Them Work for You. WW Norton & Company.
42. Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. WW Norton & Company.
43. Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., ... & Desmaison, A. (2019). Pytorch: An imperative style, high-performance deep learning library. In Advances in Neural Information Processing Systems (pp. 8026-8037).
44. Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64-88.
45. Rogers, B. (2015). The social costs of Uber. University of Chicago Law Review Dialogue, 82, 85-102.
46. Stam, E. (2015). Entrepreneurial ecosystems and regional policy: A sympathetic critique. European Planning Studies, 23(9), 1759-1769.
47. Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Penguin.
48. Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43(2-3), 172-194.
49. Valkokari, K. (2015). Business, innovation, and knowledge ecosystems: How they differ and how to survive and thrive within them. Technology Innovation Management Review, 5(8), 17-24.
50. Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016). Pipelines, platforms, and the new rules of strategy. Harvard Business Review, 94(4), 54-62.
51. Vermesan, O., Eisenhauer, M., Kindt, E., & Higuera, J. P. (2017). Internet of things: Converging technologies for smart environments and integrated ecosystems. River Publishers.
52. West, J., & Mace, M. (2010). Browsing as the killer app: Explaining the rapid success of Apple's iPhone. Telecommunications Policy, 34(5-6), 270-286.
53. Wood, G. (2014). Ethereum: A secure decentralized transaction ledger. Retrieved from https://ethereum.github.io/yellowpaper/paper.pdf
54. Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97-107.
55. Yoffie, D. B., & Baldwin, Y. (2018). Turning products into platforms: The Apple, Microsoft and Google cases. In Harvard Business School Strategy Unit Working Paper No. 18-032.
56. Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2010). Organizing for innovation in the digitized world. Organization Science, 23(5), 1398-1408.
57. Zervas, G., Proserpio, D., & Byers, J. W. (2017). The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research, 54(5), 687-705