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bài giảng dự báo trong kinh doanh

Slide bài giảng đàm phán trong kinh doanh quốc tế - PGS.TS. Đoàn Thị Hồng Vân

Slide bài giảng đàm phán trong kinh doanh quốc tế - PGS.TS. Đoàn Thị Hồng Vân

Cao đẳng - Đại học

... Thi Hong VanGiới thiệu môn học Giới thiệu môn học “ĐÀM PHÁN “ĐÀM PHÁN TRONG KINH DOANH QUỐC TẾ” TRONG KINH DOANH QUỐC TẾ”•Sự cần thiết của môn học.•Mục đích của môn học.•Phạm vi ... - PGS.TS. Doan Thi Hong VanNTDP - PGS.TS. Doan Thi Hong Van Bài mở đầu Bài mở đầu•Giới thiệu môn học •“ĐÀM PHÁN TRONG • KINH DOANH QUỐC TẾ”NTDP - PGS.TS. Doan Thi Hong VanNTDP - PGS.TS. ... nhập:Dẫn nhập: Trong điều kiện hội nhập và toàn cầu hoá để đạt được thành công trong hoạt động kinh doanh nói chung, trong đàm phán, nói riêng, cần hiểu biết về văn hoá dân tộc, văn hoá tổ chức...
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Slide bài giảng Đàm phán trong kinh doanh

Slide bài giảng Đàm phán trong kinh doanh

Cao đẳng - Đại học

... 3Giải quyết một số vấn đề trong CHƯƠNG 2Đàm phán theo nguyên tắcECO_VNU_HCMCHƯƠNG 3CHƯƠNG 4CHƯƠNG 5Giải quyết một số vấn đề trong đàm phánCác yếu tố quan trọng trong đàm phánQuá trình ... Cá nhân hoặc tập thể:guyên tắc trong Đàm phán tập thểECO_VNU_HCM5.1 CHUẨ BN ĐÀM PHÁBẢG CÂU HỎI THĂM DÒ QUA ĐIỂM6. Cá nhân hoặc tập thể:guyên tắc trong Đàm phán tập thểECO_VNU_HCM5.1 ... khách quan trong àm phánCùng nhau tìm tiêu chí khách quan cho mi vn àm phánECO_VNU_HCM2.4 KIÊ TRÌ YÊU CẦU SỬ DỤG TIÊU CHÍ KHÁCH QUA2.4.2 S dng tiêu chí khách quan trong àm phánCó...
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Dự báo trong kinh doanh

Dự báo trong kinh doanh

Quản trị kinh doanh

... XÁC DỰ BÁOPhùng Thanh Bình2Phùng Thanh Bình1.Giớithiệu2.Lịch sử phát triểncủadự báo 3.Nhu cầudự báo 4. Dự báo trong kinh doanh ngày nay5.Phân lọai dự báo 6.Lựachọnphương pháp dự báo 7.Phương ... sốđểthiếtlập ngân sáchcho quảng cáo* Dự báo doanh số thường là dự báo cơ bản cho các dự báo khác(ví dụ giữanhững năm 1980, 94% sử dụng dự báo doanh số)DỰ BÁO TRONG KINH DOANH NGÀY NAYPhùng Thanh BìnhzNgắnhạn ... chuỗithờigian& dự báo 8.Nguồndữ liệu9.Đolường độ chính xác dự báo 10.Phầnmềndự báo GIỚI THIỆU DỰ BÁO TRONG KINH DOANH & KINH TẾPhùng Thanh BìnhzNguyễnTrọng Hoài (2001): Mô hình hóa và Dự báo...
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Bài giảng GIAO TIẾP TRONG KINH DOANH

Bài giảng GIAO TIẾP TRONG KINH DOANH

Kỹ năng quản lý

... khảo1. Đoàn Thị Hồng Vân và Kim Ngọc Đạt Giao tiếp trong kinh doanh và cuộc sống NXB Thống kê, 20062. Đoàn Thị Hồng Vân Đàm phán trong kinh doanh quốc tế NXB Thống kê, 20053. Ghauri, P.N Usunier, ... luyện đó với ai không? Nếu có thì với ai và tại sao? GIAO TIẾP GIAO TIẾP TRONG KINH DOANH TRONG KINH DOANH PGS.TS. ĐOÀN THỊ HỒNG VÂNPGS.TS. ĐOÀN THỊ HỒNG VÂN 2. Tầm quan trọng của ... xây dựng một bản thông điệp, gửi nó đi với hy vọng người nhận sẽ hiểu được nội dung của bản thông điệp đó. (Xem Giao tiếp trong kinh doanh, TS. Vũ Thị Phượng, Dương Quang Huy, tr.9). Bài...
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Tài liệu Kỹ thuật phân tích dự báo trong kinh doanh ngoại tệ trực tuyến pptx

Tài liệu Kỹ thuật phân tích dự báo trong kinh doanh ngoại tệ trực tuyến pptx

Ngân hàng - Tín dụng

... RSIRSI Bảng tổng kết kết quả dự báo KTBảng tổng kết kết quả dự báo KTUSD/JPY:USD/JPY: Tỷ giá tăng nhẹ trong tuần, sau Tỷ giá tăng nhẹ trong tuần, sau đó có xu hướng giảm đó ... xu hướng tăng trở lại.hướng tăng trở lại.AUD/USD:AUD/USD: Tỷ giá tăng nhẹ trong tuần và Tỷ giá tăng nhẹ trong tuần và có thể không biến động sau đó hoặc có xu có thể không biến động...
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dự báo trong kinh doanh - giới thiệu dự báo trong kinh doanh và kinh tế ( phùng thanh bình)

dự báo trong kinh doanh - giới thiệu dự báo trong kinh doanhkinh tế ( phùng thanh bình)

Cao đẳng - Đại học

... marketing: Dự báo doanh sốđểthiếtlập ngân sáchcho quảng cáo* Dự báo doanh số thường là dự báo cơ bản cho các dự báo khác(ví dụ giữanhững năm 1980, 94% sử dụng dự báo doanh số)DỰ BÁO TRONG KINH DOANH ... chính xác dự báo 10. Phầnmềndự báo GIỚI THIỆU DỰ BÁO TRONG KINH DOANH & KINH TẾPhùng Thanh Bìnhz NguyễnTrọng Hoài (2001): Mô hình hóa và Dự báo chuỗithời gian trong kinh doanh & kinh tế, ... Lịch sử phát triểncủadự báo 3. Nhu cầudự báo 4. Dự báo trong kinh doanh ngày nay5. Phân lọai dự báo 6. Lựachọnphương pháp dự báo 7. Phương pháp luận cho chuỗithờigian& dự báo 8. Nguồndữ liệu9....
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dự báo trong kinh doanh - phân tích thành tố ( phùng thanh bình)

dự báo trong kinh doanh - phân tích thành tố ( phùng thanh bình)

Cao đẳng - Đại học

... định yếutố xu thếz Xây dựng hàm dự báoxuthếz Đolường yếutố chu kỳ (nếucó)z Tiếnhànhdự báo từ các thành tố14Phùng Thanh BìnhMÔ HÌNH NHÂN TÍNHz CÁCH 3:o Bước6: Dự báo Y^t+11t1t1t1tCF ... 1 Dự báo trong kinh doanh (Business Forecasting)Khoa Kinh tế Phát triển1A Hoàng Diệu, Phú NhuậnWebsite: www.fde.ueh.edu.vnPhùng ... sau:tttttεClSnTrY+++=Phùng Thanh Bình2Phùng Thanh Bìnhz NguyễnTrọng Hoài (2001): Mô hình hóa và Dự báo chuỗithời gian trong kinh doanh & kinh tế, Chương 5.z J.Holton Wilson & Barry Keating, (2007), Business...
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dự báo trong kinh doanh - khái niệm mô hình arima ( phùng thanh bình)

dự báo trong kinh doanh - khái niệm mô hình arima ( phùng thanh bình)

Cao đẳng - Đại học

... - Y +++−−−−=−−−−=MÔ HÌNH BÌNH QUÂN DI ĐỘNGPhùng Thanh Bình1 Dự báo trong kinh doanh (Business Forecasting)Khoa Kinh tế Phát triển1A Hoàng Diệu, Phú NhuậnWebsite: www.fde.ueh.edu.vnPhùng ... sn1t2ttn1t2t2−==∑∑=∧=2Phùng Thanh Bìnhz NguyễnTrọng Hoài (2001): Mô hình hóa và Dự báo chuỗithời gian trong kinh doanh & kinh tế, Chương 7 & 8.z J.Holton Wilson & Barry Keating, (2007), ... THIỆUz Phù hợpchocả chuỗidừng hay không dừngz Phù hợpnhấtvớidự báo dài hạnhơnl dự báo ngắnhạnz Có nhiều điểm ưuviệchơn các mô hình dự báo khác, ít tốn kém và linh hoạtPhùng Thanh BìnhPHƯƠNG...
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dự báo trong kinh doanh - tổng quan phân tích số liệu và dự báo kinh tế ( phùng thanh bình)

dự báo trong kinh doanh - tổng quan phân tích số liệu và dự báo kinh tế ( phùng thanh bình)

Cao đẳng - Đại học

... –Ft)/At)/n 4TỔNG QUAN DỰ BÁO KINH TẾ1. Vai trò của dự báo 2. Các phương pháp dự báo 3. Qui trình dự báo 4. Lựa chọn phương pháp dự báo 5. Đánh giá độ tin cậy của phương pháp dự báo 6. Hệ thống ... 5VAI TRÒ CỦA DỰ BÁO Trong Lĩnh vực kinh doanh  Dự báo tạo ra lợi thế cạnh tranh ( ở thế chủ động, không bị động)(Ví dụ: Doanh nghiệp trong hiệp hội Nhựa, Dệt may…)Công tác dự báo là một ... nếu có người áp đảo, dự báo sẽ mang nặng ý kiến chủ quan của người đó PHƯƠNG PHÁP DỰ BÁO ĐỊNH TÍNH (tt) 12PHƯƠNG PHÁP DỰ BÁO ĐỊNH TÍNH Phương Pháp định tính: dự báo dựa trên phán đoán...
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bài giảng dự báo kinh doanh - chương 5

bài giảng dự báo kinh doanh - chương 5

Kinh tế - Thương mại

... thực Y và giá trị dự báo của mô hình. chênh lệch giữa giá trị thực Y và giá trị dự báo của mô hình. MÔ HÌNH HỒI QUY BỘIMÔ HÌNH HỒI QUY BỘI1CHCHƯƠƯƠNG 5NG 5DỰ BÁO VỚI PHDỰ BÁO VỚI PHƯƠƯƠNG ... quan hệ với nhau. ộc lập có mối quan hệ với nhau. Vì tác Vì tác đđộng của nó làm dự báo và kiểm ộng của nó làm dự báo và kiểm đđịnh thiếu chính xác. ịnh thiếu chính xác. CHỌN BIẾN ĐỘC LẬPCHỌN ... 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ồi quy bội là một quy trình thống kê trong Hồi quy bội là một quy trình thống kê trong đđó biến phụ ó biến phụ thuộc (Y) thuộc (Y) đưđược mô hình hoá nhợc...
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