Defnyddiwch y dynodwr hwn i ddyfynnu neu i gysylltu â'r eitem hon:
http://elartu.tntu.edu.ua/handle/lib/46683
Teitl: | Інтеграція data science в управління підприємством: обліково-аналітичний аспект |
Teitlau Eraill: | Integration of data science into enterprise management: accounting and analytical aspect |
Awduron: | Бойко, Остап Богданович Співак, Сергій Михайлович Boiko, Ostap Spivak, Sergiy |
Affiliation: | Тернопільський національний технічний університет ім. Івана Пулюя,Україна Ternopil Ivan Puluj National Technical University, Ukraine |
Bibliographic description (Ukraine): | Бойко О. Б. Інтеграція data science в управління підприємством: обліково-аналітичний аспект / Остап Бойко, Сергій Михайлович Співак // Колективна монографія. — Т. : :ФОП Паляниця В.А, 2024. — С. 14–25. — (Розділ Ⅰ). |
Bibliographic reference (2015): | Бойко О. Б., Співак С. М. Інтеграція data science в управління підприємством: обліково-аналітичний аспект // Колективна монографія, Тернопіль. 2024. С. 14–25. |
Bibliographic citation (APA): | Boiko, O., & Spivak, S. (2024). Intehratsiia data science v upravlinnia pidpryiemstvom: oblikovo-analitychnyi aspekt [Integration of data science into enterprise management: accounting and analytical aspect]. Transformatsiia biznesu dlia staloho maibutnoho: doslidzhennia, tsyfrovizatsiia ta innovatsii: monograph, 14-25. PE Palianytsia V.A.. [in Ukrainian]. |
Bibliographic citation (CHICAGO): | Boiko O., Spivak S. (2024) Intehratsiia data science v upravlinnia pidpryiemstvom: oblikovo-analitychnyi aspekt [Integration of data science into enterprise management: accounting and analytical aspect]. Transformatsiia biznesu dlia staloho maibutnoho: doslidzhennia, tsyfrovizatsiia ta innovatsii: monograph (Tern.), pp. 14-25 [in Ukrainian]. |
Is part of: | Трансформація бізнесу для сталого майбутнього: дослідження, цифровізація та інновації: монографія, 2024 |
Journal/Collection: | Трансформація бізнесу для сталого майбутнього: дослідження, цифровізація та інновації: монографія |
Dyddiad Cyhoeddi: | 21-Nov-2024 |
Date of entry: | 18-Dec-2024 |
Cyhoeddwr: | :ФОП Паляниця В.А PE Palianytsia V.A. |
Place of the edition/event: | Тернопіль Ternopil |
Number of pages: | 12 |
Page range: | 14-25 |
Start page: | 14 |
End page: | 25 |
Crynodeb: | Стаття присвячена дослідженню зростаючої ролі BIG DATA, DATA SCIENCE, DATA-ANALYTICS та штучного інтелекту
(ШІ) у системі бухгалтерського обліку. Авторами проведено аналіз наявних рушійних факторів у вдосконалені Hard навичок для
забезпечення зростаючих потреб бізнесу в аналізі податкових та неподаткових даних. Здійснено аналіз змін, які мали місце в сфері
бухгалтерського обліку та аудиту, відображено, яким чином ці зміни трапились, та якими механізмами закривались нові потреби у галузі.
Також авторами здійнено прогноз основних векторів розвитку галузі та окреслено основні зміни, що очікують бухгалтерський облік у
майбутньому. Визначено основні труднощі, з якими стикаються роботодавці, які нові навички необхідні в цій царині знань та подано
рекомендації щодо вдосконалення роботи працівників на підприємстві у сфері бухгалтерського обліку This article contains a brief overview of the growing role played by Data Science, Big Data, Artificial Intelligence (AI) and Data Analytics in the accounting profession. The authors analyzed the existing driving factors that are helping to improve HARD skills to meet the growing needs of businesses in the analysis of taxable and non -taxable data. In the article the changes were analyzed that are happening in the field of accounting and audit these days, also was explained how these changes have occurred and what mechanisms help us to fulfill the needs in this field. The authors also gave a forecast about how this industry will develop in the future and what changes are expected to happen. The authors also worked out what difficulties employers currently are facing, what new skills are needed in this field of knowledge and recommendations were given to improve work of employees at the enterprise |
URI: | http://elartu.tntu.edu.ua/handle/lib/46683 |
ISBN: | 978-617-7875-86-3 |
Copyright owner: | © Тернопільський національний технічний університет імені Івана Пулюя, 2024 |
URL for reference material: | https://www.accaglobal.com/my/en/technical-activities/technical-resources-search/2013/october/digital-darwinism.html https://www.cpapracticeadvisor.com/firm-management/article/12424744/the-value-of-big-data-in-an-accounting-firm https://www.ey.com/en_sg/ai/how-to-harness-artificial-intelligence-in-accounting http://www.informationweek.com/big-data/big-data-analytics/big-data-a-practical-definition/d/d-id/1111290? https://assets.kpmg/content/dam/kpmg/pdf/2016/05/Leveraging-Data-Analytics.pdf https://hevodata.com/learn/data-analytics-in-accounting/ https://www.primeglobal.net/news/managing-cash-flow-through-data-analytics-clayton-mckervey https://www.sage.com/en-us/news/press-releases/2018/03/accountants-adoption-of-ai-expected-to-increase/ |
References (Ukraine): | 1. Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381-396 2. Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44. 3. Association of Chartered Certified Accountants [ACCA] and the Institute of Management Accountants (IMA). (2013a). Digital darwinism: Thriving in the face of technology change. URL: https://www.accaglobal.com/my/en/technical-activities/technical-resources-search/2013/october/digital-darwinism.html (accessed on 10 October 2024). 4. Boomer, J. (2018). The value of big data in an accounting firm. URL: https://www.cpapracticeadvisor.com/firm-management/article/12424744/the-value-of-big-data-in-an-accounting-firm (accessed on 13 October 2024). 5. Ernst & Young. (2020). How to harness artificial intelligence in accounting. URL: https://www.ey.com/en_sg/ai/how-to-harness-artificial-intelligence-in-accounting (accessed on 15 October 2024). 6. Bertolucci, J. (2013). Big Data: A practical definition. Information Week (August 26). URL: http://www.informationweek.com/big-data/big-data-analytics/big-data-a-practical-definition/d/d-id/1111290? (accessed on 18 October 2024). 7. Romero S., Gal G., Mock T. J., & Vasarhelyi M. A. (2012). A measurement theory perspective on business measurement. Journal of Emerging Technologies in Accounting, 9 (1), 1-24. 8. KPMG. (2016). Leveraging data analytics and continuous auditing processes for improved audit planning, effectiveness, and efficiency. URL:https://assets.kpmg/content/dam/kpmg/pdf/2016/05/Leveraging-Data-Analytics.pdf (accessed on 21 October 2024). 9. Mikalef, P., Pateli, A., Batenburg, R. S., & Wetering, R. V. D. (2015). Purchasing alignment under multiple contingencies: A configuration theory approach. Industrial Management & Data Systems, 115(4), 625-645. 10. Schmidt, P. J., Riley, J., & Church, K. S. (2020). Investigating accountantsʼ resistance to move beyond Excel and adopt new data analytics technology. Accounting Horizons, 34(4), 165-180. 11. Poddar, A. (2021). Data analytics in accounting: 5 comprehensive aspects. Retrieved from https://hevodata.com/learn/data-analytics-in-accounting/ (accessed on 21 October 2024). 12. Clayton & McKervey. (2020). Managing cash flow through data analytics. URL: https://www.primeglobal.net/news/managing-cash-flow-through-data-analytics-clayton-mckervey (accessed on 22 October 2024) 13. Sun, T., & Vasarhelyi, M. A. (2018). Embracing textual data analytics in auditing with deep learning. The International Journal of Digital Accounting Research, 18, 49-67. 14. Abad-Segura, E., Infante-Moro, A., González-Zamar, M. D., & López Meneses, E. (2021). Blockchain technology for secure accounting management: Research trends analysis. Mathematics, 9(14), 1631. 15. Sage. (2018). Accountants adoption of Artificial Intelligence expected to increase as clients’ expectations shift. URL: https://www.sage.com/en-us/news/press-releases/2018/03/accountants-adoption-of-ai-expected-to-increase/ (accessed on 23 October 2024). 16. Nielsen, S. (2018). Reflections on the applicability of business analytics for management accounting–and future perspectives for the accountant. Journal of Accounting & Organizational Change, 14(2), 167-187. 17. Pickard, M. D., & Cokins, G. (2015). From bean counters to bean growers: Accountants as data analysts-A customer profitability example. Journal of Information Systems, 29(3), 151-164. 18. Schläfke, M., Silvi, R., & Möller, K. (2013). A framework for business analytics in performance management. International Journal of Productivity and Performance Management, 62(1), 110-122. 19. Zhao, N., Yen, D. C., & Chang, I. C. (2004). Auditing in the e-commerce era. Information Management & Computer Security, 12(5), 389-400. |
References (International): | 1. Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381-396 2. Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29-44. 3. Association of Chartered Certified Accountants [ACCA] and the Institute of Management Accountants (IMA). (2013a). Digital darwinism: Thriving in the face of technology change. URL: https://www.accaglobal.com/my/en/technical-activities/technical-resources-search/2013/october/digital-darwinism.html (accessed on 10 October 2024). 4. Boomer, J. (2018). The value of big data in an accounting firm. URL: https://www.cpapracticeadvisor.com/firm-management/article/12424744/the-value-of-big-data-in-an-accounting-firm (accessed on 13 October 2024). 5. Ernst & Young. (2020). How to harness artificial intelligence in accounting. URL: https://www.ey.com/en_sg/ai/how-to-harness-artificial-intelligence-in-accounting (accessed on 15 October 2024). 6. Bertolucci, J. (2013). Big Data: A practical definition. Information Week (August 26). URL: http://www.informationweek.com/big-data/big-data-analytics/big-data-a-practical-definition/d/d-id/1111290? (accessed on 18 October 2024). 7. Romero S., Gal G., Mock T. J., & Vasarhelyi M. A. (2012). A measurement theory perspective on business measurement. Journal of Emerging Technologies in Accounting, 9 (1), 1-24. 8. KPMG. (2016). Leveraging data analytics and continuous auditing processes for improved audit planning, effectiveness, and efficiency. URL:https://assets.kpmg/content/dam/kpmg/pdf/2016/05/Leveraging-Data-Analytics.pdf (accessed on 21 October 2024). 9. Mikalef, P., Pateli, A., Batenburg, R. S., & Wetering, R. V. D. (2015). Purchasing alignment under multiple contingencies: A configuration theory approach. Industrial Management & Data Systems, 115(4), 625-645. 10. Schmidt, P. J., Riley, J., & Church, K. S. (2020). Investigating accountantsʼ resistance to move beyond Excel and adopt new data analytics technology. Accounting Horizons, 34(4), 165-180. 11. Poddar, A. (2021). Data analytics in accounting: 5 comprehensive aspects. Retrieved from https://hevodata.com/learn/data-analytics-in-accounting/ (accessed on 21 October 2024). 12. Clayton & McKervey. (2020). Managing cash flow through data analytics. URL: https://www.primeglobal.net/news/managing-cash-flow-through-data-analytics-clayton-mckervey (accessed on 22 October 2024) 13. Sun, T., & Vasarhelyi, M. A. (2018). Embracing textual data analytics in auditing with deep learning. The International Journal of Digital Accounting Research, 18, 49-67. 14. Abad-Segura, E., Infante-Moro, A., González-Zamar, M. D., & López Meneses, E. (2021). Blockchain technology for secure accounting management: Research trends analysis. Mathematics, 9(14), 1631. 15. Sage. (2018). Accountants adoption of Artificial Intelligence expected to increase as clients’ expectations shift. URL: https://www.sage.com/en-us/news/press-releases/2018/03/accountants-adoption-of-ai-expected-to-increase/ (accessed on 23 October 2024). 16. Nielsen, S. (2018). Reflections on the applicability of business analytics for management accounting–and future perspectives for the accountant. Journal of Accounting & Organizational Change, 14(2), 167-187. 17. Pickard, M. D., & Cokins, G. (2015). From bean counters to bean growers: Accountants as data analysts-A customer profitability example. Journal of Information Systems, 29(3), 151-164. 18. Schläfke, M., Silvi, R., & Möller, K. (2013). A framework for business analytics in performance management. International Journal of Productivity and Performance Management, 62(1), 110-122. 19. Zhao, N., Yen, D. C., & Chang, I. C. (2004). Auditing in the e-commerce era. Information Management & Computer Security, 12(5), 389-400. |
Content type: | Book Chapter |
Ymddengys yng Nghasgliadau: | Трансформація бізнесу для сталого майбутнього: дослідження, цифровізація та інновації: монографія |
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