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Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres
16 references·0 citing·49 second hop
Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres (2019)Prediction of B2C e-commerce order arriva…From Logistics to Supply Chain Management (2024)From Logistics to Supply Chai…Modelling and testing consumer trust dimensions in e-commerce (2017)Modelling and testing consume…Realignment of the physical distribution process in omni-channel fulfillment (2016)Realignment of the physical d…E-commerce Logistics in Supply Chain Management: Practice Perspective (2016)E-commerce Logistics in Suppl…Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review (2016)Consumer Behaviour and Order …Consumer behavior in social commerce: A literature review (2016)Consumer behavior in social c…Big data analytics in E-commerce: a systematic review and agenda for future research (2016)Big data analytics in E-comme…Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning (2015)Social interaction-based cons…Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions (2015)Explaining online shopping be…Consumers' decisions in social commerce context: An empirical investigation (2015)Consumers' decisions in socia…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Logistics capability, logistics outsourcing and firm performance in an e‐commerce market (2008)Logistics capability, logisti…A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)A decision support system for…E-fulfillment and multi-channel distribution – A review (2007)E-fulfillment and multi-chann…Agile supply chain capabilities: Determinants of competitive objectives (2003)Agile supply chain capabiliti…Logistics & Supply Chain Management (1994)Logistics & Supply Chain Mana…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)The machine that changed the world (1992)The Impact of Quality Management Practices on Performance and Competitive Advantage (1995)Putting the enterprise into the enterprise system. 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References

  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2016Big data analytics in E-commerce: a systematic review and agenda for future research684 cited
  • 2016Consumer behavior in social commerce: A literature review629 cited
  • 2003Agile supply chain capabilities: Determinants of competitive objectives541 cited
  • 2007E-fulfillment and multi-channel distribution – A review528 cited
  • 2024From Logistics to Supply Chain Management525 cited
  • 2015Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions522 cited
  • 1994Logistics & Supply Chain Management510 cited
  • 2015Consumers' decisions in social commerce context: An empirical investigation493 cited
  • 2017Modelling and testing consumer trust dimensions in e-commerce465 cited
  • 2016Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review386 cited
  • 2015Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning384 cited
  • 2008Logistics capability, logistics outsourcing and firm performance in an e‐commerce market325 cited
  • 2008A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis263 cited

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  • 2016E-commerce Logistics in Supply Chain Management: Practice Perspective225 cited
  • 2016Realignment of the physical distribution process in omni-channel fulfillment220 cited
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