Методи побудови систем адаптації управління підприємствами е-комерції
Ескіз недоступний
Дата
2025
Назва журналу
Номер ISSN
Назва тому
Видавець
Анотація
Адаптивне управління в електронній комерції та фінансових послугах потребує інтеграції сучасних методів аналітики, автоматизації, персоналізації та кібербезпеки. Аналітика даних із використанням машинного навчання й Big Data дозволяє прогнозувати поведінку споживачів, оптимізувати ризики й персоналізувати пропозиції (JPMorgan, Goldman Sachs, Mastercard). Agile, Lean Management і Design Thinking підвищують адаптивність, ефектив ність і клієнтоорієнтованість послуг (ING, Bank of America, PayPal). ERP, CRM і роботизована автоматизація процесів (RPA) прискорюють обробку транзакцій, знижують витрати та покращують операційну діяльність (HSBC, Deutsche Bank). Інтеграція бізнес-процесів забезпечує контроль фінансових потоків (Santander Bank). Кібербезпека (Zero Trust, блокчейн) ефективно мінімізує ризики (DBS, ICBC). Адаптивне ціноутворення стимулює активність клієнтів (Mastercard, PayPal).
The article emphasizes that adaptive management in e-commerce and financial services requires integrating advanced analytics, automation, personalization, and cybersecurity to respond effectively to market changes. Data-driven analytics using machine learning and Big Data allow financial institutions to predict consumer behavior, optimize credit risks, and personalize offers. Leading companies like JPMorgan Chase, Goldman Sachs, and Mastercard demonstrate that algorithmic modeling enhances market analysis accuracy and reduces losses. Flexible management methods, such as Agile, Lean Management, and Design Thinking, boost financial institutions' adaptability. Agile implementation at ING Bank accelerated new product launches; Lean Management at Bank of America reduced costs and improved operational efficiency; Design Thinking at Citibank and PayPal enhanced customer-centric services and satisfaction. Automation technologies and adaptive systems significantly enhance operational efficiency. ERP systems with AI at HSBC and Goldman Sachs facilitate centralized financial management, while CRM systems integrated with chatbots and social media at Bank of America and American Express improve customer experiences. Robotic Process Automation (RPA) at Citibank and Deutsche Bank effectively reduces costs and speeds up transactions. Cross-functional integration, combining business processes, is vital for adaptive management. Santander Bank and Deutsche Bank's integration of e-commerce with logistics automates payments, optimizes trade, and improves financial control. ING Bank and BNP Paribas' end- to-end analytics provide comprehensive market analysis, while Crédit Agricole and UniCredit's omnichannel approach enhances customer loyalty. Companies adapt to consumer trends through Predictive Personalization, gamification, and VR shopping. Alibaba Group and Tencent Holdings personalize offerings using behavioral data, increasing satisfaction. Gamified loyalty programs at Rakuten Bank and Ping An Insurance engage customers actively, while Mitsubishi UFJ Financial Group and Shinhan Bank use VR to enhance remote banking experiences. Thus, financial companies leverage innovation, automation, and personalization to optimize operations, minimize risks, and enhance customer experiences, establishing competitive advantages in fintech.
The article emphasizes that adaptive management in e-commerce and financial services requires integrating advanced analytics, automation, personalization, and cybersecurity to respond effectively to market changes. Data-driven analytics using machine learning and Big Data allow financial institutions to predict consumer behavior, optimize credit risks, and personalize offers. Leading companies like JPMorgan Chase, Goldman Sachs, and Mastercard demonstrate that algorithmic modeling enhances market analysis accuracy and reduces losses. Flexible management methods, such as Agile, Lean Management, and Design Thinking, boost financial institutions' adaptability. Agile implementation at ING Bank accelerated new product launches; Lean Management at Bank of America reduced costs and improved operational efficiency; Design Thinking at Citibank and PayPal enhanced customer-centric services and satisfaction. Automation technologies and adaptive systems significantly enhance operational efficiency. ERP systems with AI at HSBC and Goldman Sachs facilitate centralized financial management, while CRM systems integrated with chatbots and social media at Bank of America and American Express improve customer experiences. Robotic Process Automation (RPA) at Citibank and Deutsche Bank effectively reduces costs and speeds up transactions. Cross-functional integration, combining business processes, is vital for adaptive management. Santander Bank and Deutsche Bank's integration of e-commerce with logistics automates payments, optimizes trade, and improves financial control. ING Bank and BNP Paribas' end- to-end analytics provide comprehensive market analysis, while Crédit Agricole and UniCredit's omnichannel approach enhances customer loyalty. Companies adapt to consumer trends through Predictive Personalization, gamification, and VR shopping. Alibaba Group and Tencent Holdings personalize offerings using behavioral data, increasing satisfaction. Gamified loyalty programs at Rakuten Bank and Ping An Insurance engage customers actively, while Mitsubishi UFJ Financial Group and Shinhan Bank use VR to enhance remote banking experiences. Thus, financial companies leverage innovation, automation, and personalization to optimize operations, minimize risks, and enhance customer experiences, establishing competitive advantages in fintech.
Опис
Ключові слова
адаптивне управління, електронна комерція, аналітика даних, інтеграція бізнес-процесів, кібербезпека, adaptive management, ecommerce, data analytics, business process integration, cybersecurity
Бібліографічний опис
Федорчак О. Методи побудови систем адаптації управління підприємствами е-комерції [Текст] / О. Федорчак // Цифрова економіка та економічна безпека : науково-практичний журнал / Причорноморський науково-дослідний інститут економіки та інновацій, Сумський державний педагогічний університет імені А. С. Макаренка ; [гол. ред. О. Ю. Кудріна, редкол.: В. В. Божкова, В. І. Борщ, Н. М. Вдовенко та ін.]. – 2025. – № 1 (16). – С. 302–308. – DOI: https://doi.org/10.32782/dees.16-46