UFRS Dönüşümünde Kurumsal Kaynak Planlama Sisteminin Benimsenmesi: Türkiye'den Kanıtlar
Year 2025,
Volume: 20 Issue: 1, 41 - 61
Meltem Altın
,
Recep Yılmaz
Abstract
Çalışmanın amacı, Borsa İstanbul veya Türkiye’nin en büyük 500 sanayi kuruşunda yer alan şirketlerin UFRS dönüşümünde ERP sistemi uygulama kararlarını etkileyen temel faktörlerin belirlenmesidir. Temel faktörler teknolojik, örgütsel ve çevresel model çerçevesinde ele alınmıştır. Araştırmaya katılan 324 katılımcıdan elde edilen veriler SmartPLS programında analiz edilmiştir. Sonuçlar, koordinasyonun, göreceli avantajın, uyumluluğun ve üst yönetim desteğinin IFRS dönüşümünde ERP sistemlerinin benimsenmesi üzerinde olumlu ve anlamlı bir etkiye sahip olduğunu, karmaşıklığın ise olumsuz ve anlamlı bir etkiye sahip olduğunu göstermektedir.
Ethical Statement
Bu çalışma Sakarya Üniversitesi İşletme Enstitüsü İşletme Anabilim Dalı’nda Doç. Dr. Recep Yılmaz danışmanlığında Meltem Altın tarafından “UMS/UFRS Dönüşümünde Kurumsal Kaynak Planlamasının Benimsenmesi ve Etkisi” başlığı ile tamamlanarak 08.04.2022 tarihinde savunulan Doktora tezinden türetilmiştir.
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Adoption of Enterprise Resource Planning System in IFRS Conversion: Evidence from Türkiye
Year 2025,
Volume: 20 Issue: 1, 41 - 61
Meltem Altın
,
Recep Yılmaz
Abstract
The purpose of this study is to determine the primary factors that influence the decision to implement an ERP system in the IFRS conversion in Borsa Istanbul or largest 500 Turkish industrial firms. We propose a modified version of the technology, organization and environment model. The data obtained from 324 participants was analyzed using the SmartPLS program. The results demonstrate that coordination improvements, relative advantage, compatibility and top management support have a positive and significant impact on the adoption of ERP systems in IFRS conversion, while complexity has a negative and significant impact.
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- Ferratt, T. W.; Ahire, S.; De, P. (2006), “Achieving success in large projects: Implications from a study of ERP implementations”, Interfaces, Vol. 36, No. 5: 458-469.
- Fink, D. (1998), “Guidelines for the successful adoption of information technology in small and medium enterprises”, International journal of information management, Vol. 18, No. 4: 243-253.
- Fornell, C.; Larcker, D. F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, No. 1: 39–50.
- Gavidia, J. V.; Junglas, I. A.; Chou, C. H. (2023), “An integrated model of ERP success: the critical role of task-context alignment”, Enterprise Information Systems, Vol. 17, No. 1: 1-26.
- Gangwar, H.; Date, H.; Ramaswamy, R. (2015), “Understanding determinants of cloud computing adoption using an integrated TAM-TOE model”, Journal of enterprise information management, Vol. 28, No: 1: 107-130.
- Gattiker, T. F.; Goodhue, D. L. (2005), “What happens after ERP implementation: understanding the impact of interdependence and differentiation on plant-level outcomes”, MIS quarterly, 559-585.
- Grabski, S. V.; Leech, S. A.; Schmidt, P. J. (2011), “A review of ERP research: a future agenda for accounting information systems”, Journal of Information Systems, Vol. 25, No. 1: 37–78.
- Grover, V. (1993), “An empirically derived model for the adoption of customer‐based interorganizational systems”, Decision sciences, Vol. 24, No. 3: 603-640.
- Gupta, P.; Seetharaman, A.; Raj, J. R. (2013), “The usage and adoption of cloud computing by small and medium businesses”, International journal of information management, Vol. 33, No. 5: 861-874.
- Gutierrez, A.; Boukrami, E.; Lumsden, R. (2015), “Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK”, Journal of Enterprise Information Management, Vol. 26, No. 8: 788-807.
- Gyasi, A.K., (2010). Adoption of International Financial Reporting Standards in Developing Countries-The Case of Ghana. Yüksek Lisans Tezi. Thesis, University of Applied Sciences, Business Economics and Tourism. Vaasa, Finlandiya.
- Hair, J. F.; Black, W. C.; Babin, J. B.; Anderson, R. E.; Tatham, R. L. (2006), Multivariate data analysis, Upper Saddle River, NJ: Pearson Prentice Hall.
- Hair, J. F.; Black, W. C.; Babin, J. B., Anderson, R. E.; Tatham, R. L. (2009), Multivariate data analysis, Upper Saddle River, NJ: Pearson Prentice Hall.
- Hair, J.; Hollingsworth C. L.; Randolph, A. B.; Chong, A. Y. L. (2017), “An updated and expanded assessment of PLS-SEM in information systems research”, Industrial Management & Data Systems, Vol. 117, No. 3.
- Hair, J. F.; Ringle, C. M.; Sarstedt, M. (2011), “PLS-SEM: Indeed a silver bullet”, Journal of Marketing theory and Practice, Vol. 19, No. 2: 139-152.
- Hall, J. A. (2015), Accounting information systems, Ohio: Cengage Learning.
- Hancerliogullari Koksalmis, G.; Damar, S. (2021), “An Empirical Evaluation of a Modified Technology Acceptance Model for SAP ERP System”, Engineering Management Journal, Vol. 24, No. 2: 201-216.
- Henderson, D.; Sheetz, S. D.; Trinkle, B. S. (2012), “The determinants of inter-organizational and internal in-house adoption of XBRL: A structural equation model”, International journal of accounting information systems, Vol. 13, No. 2:109-140.
- Henseler, J.; Hubona, G.; Ray, P. A. (2016), “Using PLS path modeling in new technology research: Updated guidelines”, Industrial Management & Data Systems, Vol. 116, No. 1: 2–20.
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