Phân Tích Dựa Trên Mô Hình Về Nhận Thức Sai Lệch Dữ Liệu Trong Các Quy Trình Kinh Doanh

Business & Information Systems Engineering - Tập 64 - Trang 183-200 - 2021
Yotam Evron1, Pnina Soffer1, Anna Zamansky1
1University of Haifa, Haifa, Israel

Tóm tắt

Định nghĩa vấn đề: Lỗi dữ liệu trong các quy trình kinh doanh có thể là nguồn gốc gây ra các ngoại lệ và cản trở kết quả kinh doanh. Liên quan: Bài báo đề xuất một phương pháp phân tích các vấn đề sai lệch dữ liệu ngay từ thời điểm thiết kế quy trình, nhằm hỗ trợ các nhà thiết kế quy trình xác định những phần nào của quy trình có thể vẫn chưa nhận ra sai sót dữ liệu, để quyết định có thể được đưa ra dựa trên dữ liệu không chính xác. Phương pháp: Bài báo tuân theo khoa học thiết kế, phát triển một phương pháp như một sản phẩm. Cơ sở khái niệm là khái niệm về nhận thức sai lệch dữ liệu - khả năng nhận biết liệu có thể tồn tại những khác biệt tiềm năng giữa giá trị thực và giá trị thông tin. Kết quả: Phương pháp đã được triển khai trên một công cụ mô hình hóa mạng Petri và được kiểm chứng trong một nghiên cứu trường hợp tại một công ty sản xuất lớn chuyên về các hệ thống quan trọng đối với an toàn. Ảnh hưởng quản lý: Dự đoán những hậu quả của sai lệch dữ liệu ngay cả trong quá trình thiết kế quy trình có thể giúp tránh chúng trong thời gian thực.

Từ khóa

#lỗi dữ liệu #quy trình kinh doanh #phân tích #thiết kế quy trình #không chính xác dữ liệu

Tài liệu tham khảo

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