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The Value of Weather Information for E‐Commerce Operations
The Value of Weather Information for E‐Commerce Operations
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The Value of Weather Information for E‐Commerce Operations

Steinker, Sebastian ; Hoberg, Kai ; Thonemann, Ulrich W.

Production and operations management, 2017-10, Vol.26 (10), p.1854-1874 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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2
Technology forecast 2001-2003 : mobile Internet : unleashing the power of wireless
Technology forecast 2001-2003 : mobile Internet : unleashing the power of wireless
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Technology forecast 2001-2003 : mobile Internet : unleashing the power of wireless

PricewaterhouseCoopers Technology Centre

Menlo Park, Calif. PricewaterhouseCoopers Technology Centre c2001

Localização: EPBC - Esc. Politécnica-Bib Central    (621.396 T226 )(Acessar)

3
LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
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LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce

Wu, Yuchen ; Xu, Yuansong ; Gao, Shenghan ; Wang, Xingbo ; Song, Wenkai ; Nie, Zhiheng ; Fan, Xiaomeng ; Li, Quan

IEEE transactions on visualization and computer graphics, 2024-01, Vol.30 (1), p.1117-1127 [Periódico revisado por pares]

United States: IEEE

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4
Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology
Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology
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Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology

Leung, K.H ; Mo, Daniel Y ; Ho, G.T.S ; Wu, C.H ; Huang, G.Q

Industrial management + data systems, 2020-06, Vol.120 (6), p.1149-1174 [Periódico revisado por pares]

Wembley: Emerald Publishing Limited

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5
Forecasting E-Commerce Adoption Based on Bidirectional Recurrent Neural Networks
Forecasting E-Commerce Adoption Based on Bidirectional Recurrent Neural Networks
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Forecasting E-Commerce Adoption Based on Bidirectional Recurrent Neural Networks

Ali Salamai, Abdullah ; Abdulrahman Ageeli, Ather ; M. El-kenawy, El-Sayed

Computers, materials & continua, 2022, Vol.70 (3), p.5091-5106

Henderson: Tech Science Press

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6
The Bullwhip Effect in an Online Retail Supply Chain: A Perspective of Price-Sensitive Demand Based on the Price Discount in E-Commerce
The Bullwhip Effect in an Online Retail Supply Chain: A Perspective of Price-Sensitive Demand Based on the Price Discount in E-Commerce
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The Bullwhip Effect in an Online Retail Supply Chain: A Perspective of Price-Sensitive Demand Based on the Price Discount in E-Commerce

Gao, Dandan ; Wang, Nengmin ; He, Zhengwen ; Jia, Tao

IEEE transactions on engineering management, 2017-05, Vol.64 (2), p.134-148 [Periódico revisado por pares]

New York: IEEE

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7
E-Commerce Logistics and Supply Chain Network Optimization for Cross-Border
E-Commerce Logistics and Supply Chain Network Optimization for Cross-Border
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E-Commerce Logistics and Supply Chain Network Optimization for Cross-Border

Ye, Wenxia

Journal of grid computing, 2024-03, Vol.22 (1), p.22, Article 22

Dordrecht: Springer Netherlands

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8
A data analytic-based logistics modelling framework for E-commerce enterprise
A data analytic-based logistics modelling framework for E-commerce enterprise
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A data analytic-based logistics modelling framework for E-commerce enterprise

Verma, Abhishek ; Kuo, Yong-Hong ; Kumar, M Manoj ; Pratap, Saurabh ; Chen, Velvet

Enterprise information systems, 2023-06, Vol.17 (6) [Periódico revisado por pares]

Taylor & Francis

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9
Analysis of circular economy of E-commerce market based on grey model under the background of big data
Analysis of circular economy of E-commerce market based on grey model under the background of big data
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Analysis of circular economy of E-commerce market based on grey model under the background of big data

Peng, Xu ; Li, Xiang ; Yang, Xiao

Journal of enterprise information management, 2022-06, Vol.35 (4/5), p.1148-1167 [Periódico revisado por pares]

Bradford: Emerald Publishing Limited

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10
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm
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Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm

Zhang, Bo ; Tan, Runhua ; Lin, Cheng-Jian

Applied intelligence (Dordrecht, Netherlands), 2021-02, Vol.51 (2), p.952-965 [Periódico revisado por pares]

New York: Springer US

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