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"Adaptive" learning and "proactive" customer relationship management

Baohong Sun, Shibo Li, Catherine Zhou
2006 Journal of Interactive Marketing  
We also discuss three key components for customer-centric CRM: adaptive learning, forward-looking, and optimization.  ...  We then formulate CRM interventions as solutions to a stochastic dynamic programming problem under demand uncertainty in which the company learns about the evolution of customer demand as well as the dynamic  ...  AN INTEGRATED FRAMEWORK Tools of Adaptive Learning Adaptive learning is more like an idea than a technique.  ... 
doi:10.1002/dir.20069 fatcat:2ljxkpan3zfsdevq7qy7ptzqvy

Page 539 of Management & Marketing Abstracts Vol. 25, Issue 4 [page]

2000 Management & Marketing Abstracts  
MMA Vol. 25, No. 4 (2000) Marketing an export market. A stronger influence was found for the customer learning as compared to the competitor learning process.  ...  of increased customer demand and expectations, new approaches to online shopping provision are required.  ... 

A Distributed Online Pricing Strategy for Demand Response Programs [article]

Pan Li and Hao Wang and Baosen Zhang
2017 arXiv   pre-print
We formulate an optimization problem for the utility to minimize its operational cost considering time-varying demand response targets and responses of consumers.  ...  We develop a joint online learning and pricing algorithm.  ...  CONCLUSION We studied an online demand response strategy for a utility company.  ... 
arXiv:1702.05551v2 fatcat:k67hz42gvfb7hlih7xebic5jci

Online Learning and Distributed Control for Residential Demand Response [article]

Xin Chen, Yingying Li, Jun Shimada, Na Li
2021 arXiv   pre-print
Based on the Thompson sampling framework, we propose an online DR control algorithm to learn customer behaviors and make real-time AC control schemes.  ...  This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR).  ...  Index Terms-Online learning, uncertain customer behavior, distributed algorithm, incentive-based demand response. I.  ... 
arXiv:2010.05153v2 fatcat:6alnazia6be2vihjlee34pkqqa

Online Residential Demand Response via Contextual Multi-Armed Bandits [article]

Xin Chen, Yutong Nie, Na Li
2020 arXiv   pre-print
Residential loads have great potential to enhance the efficiency and reliability of electricity systems via demand response (DR) programs.  ...  To learn the uncertain customer behaviors under the environmental influence, we formulate the residential DR as a contextual multi-armed bandit (MAB) problem, and the online learning and selection (OLS  ...  systems via demand response (DR) programs.  ... 
arXiv:2003.03627v2 fatcat:ahjobnguarfr3mpth4cki5wwje

Customer Purchase Intent Prediction under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework

Ling Chen, Zhang Tao, Chen Yuan
2019 IEEE Access  
In this paper, we propose a feature-combined deep learning framework, in which a fullconnected long short-term networks (FC-LSTM) is used for modeling the interactions between customers and promotion channels  ...  To improve the performance of the prediction, the framework incorporates other features of customer profile including purchase history and demographics, integrating them into an end-to-end framework.  ...  FC-LSTM and customer profile features in an end-to-end deep learning architecture for our prediction task.  ... 
doi:10.1109/access.2019.2935121 fatcat:wps7kk47jvfxbovm64dkidg5au

A strategic orientation for e-commerce investments: A customer equity approach

Dan Sarel, Howard Marmorstein
2002 Journal of Targeting, Measurement and Analysis for Marketing  
Many online retailers failed to deliver on these basic dimensions and were not able to create a repeat customer Cost of marketing While the underlying demand for online shopping may exist, finding an  ...  Direct customer feedback is an excellent source for new ideas. The ability to experiment and quickly gauge the market response to an offer is an important benefit of the Net.  ... 
doi:10.1057/palgrave.jt.5740072 fatcat:76f2yhpcdbdkxm3spfeep7cvhm

Big Data and Analytics in Retailing

Venky Shankar
2019 NIM Marketing Intelligence Review  
This means rather than use a consumer's profile to target an ad online, marketers may have to serve an ad based on the content of the article, blog or webpage that a consumer is viewing in real time.  ...  In the retail pricing context, a descriptive model could be a demand model of how customers responded to past price changes.  ... 
doi:10.2478/nimmir-2019-0006 fatcat:bgvoju6vyngptim65jq46g4rhm

Massive Open Online Courses and Cloud Computing [article]

Mansur Beştaş
2019 arXiv   pre-print
With the ever-increasing demand in recent years, MOOCs are considered to have a promising place in e-learning. Thus, the MOOC model will be investigated as a business model.  ...  Customer types, services provided, the sources of income will be analyzed and tabulated.  ...  The MOOC (Massive Open Online Course) Model in E-learning MOOC is an e-learning model where an unlimited number of students can reach quality learning content from afar and the access can be provided only  ... 
arXiv:1902.11091v1 fatcat:hoiyymp37vfrzpjbvx37vm6vze

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records [article]

Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao
2021 arXiv   pre-print
The multi-pattern fusion network considers both local and seasonal temporal patterns for segment demand prediction.  ...  One of the most fundamental problems is how to balance the demand and supply in market segments to build an efficient platform.  ...  The goal for RMLDP is to build a customized meta-learning paradigm upon a market demand prediction model.  ... 
arXiv:2008.00181v2 fatcat:xt7gm5dhnncsflib4jmq463b44

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey [article]

Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li
2022 arXiv   pre-print
In DDS, a service loop is an elemental structure, including its service worker, the service providers and corresponding service targets.  ...  Recent technology development brings the booming of numerous new Demand-Driven Services (DDS) into urban lives, including ridesharing, on-demand delivery, express systems and warehousing.  ...  An intelligent centralized platform is responsible to control all AGVs for efficient operations.  ... 
arXiv:2108.04462v2 fatcat:y3ogh3v4rbhbjfoymql3yku4ty

Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions [article]

Jie Yang, Yilin Li, Deddy Jobson
2022 arXiv   pre-print
Since incentives are effective to engage customers and customers have different preferences for different types of incentives, the demand for personalized promotion decision making is increasing over time  ...  First, we propose a customer direct and enduring effect (CDEE) model which predicts the customer direct and enduring response.  ...  THE FRAMEWORK FOR PROMOTION DECISION MAKING Our framework for promotion decision making consists of (1) customer response prediction including the direct purchase propensity and the enduring purchase amount  ... 
arXiv:2207.14798v1 fatcat:zudlcb6egvdgrlsqly2r5wwqqa

Handling disruptive innovations in HE: lessons from two contrasting case studies

Stephen Powell, Bill Olivier, Li Yuan
2015 Research in Learning Technology  
To illustrate this, we set out two case studies that each implement the same innovative model of work-focussed learning differently: one in an autonomous sub-unit of an HEI, while the other sought to embed  ...  By contrast, a sustaining innovation may use the same technology, but enhance an existing business model.  ...  These factors outlined above are creating a new context for HEIs, in which disruptive innovations may arise, posing a threat to existing models and demanding an appropriate response.  ... 
doi:10.3402/rlt.v23.22494 fatcat:jstswzhx2ffvrii6r3oxgmsh3a

A Study On Digitalization In Marketing Mix

M.Mohamed Sabeek Musthafa, J.Sheik Sahabudeen
2018 Zenodo  
In 2015, online sales accounted for 7.4% of overall retail spending in the U.S., the highest percentage since tracking began in 1999.  ...  Corporations now highlight the importance of creating a "digital relationship" with customers.  ...  Have proposed an adaptive personalization system for online music (digital audio players) to adaptively personalize the service, fine-tuning the service over time for each customer, based on observation  ... 
doi:10.5281/zenodo.1461312 fatcat:a7asnhdgbbdcbawr4rkq4nebue

A Critical Overview of the Impact of Social Media on Online Small Businesses Owned and Run by Women Entrepreneurs: A Case Study of London-based Female E-entrepreneurs

Queen Chioma Nworgu
2020 BCES Conference Books  
The research will develop a framework for best practice that can be used by women e-entrepreneurs across Greater London.  ...  The growth of social media as part of innovative technological development has enabled entrepreneurs to effectively carry out their business activities online, and an increasing number of female business  ...  (FE3) The demand for an on line shopping has slightly the direct face to face shopping contacts that I have with most of my customers.  ... 
doaj:0a2b4bd3b22441008091f98122cd3dab fatcat:7muco2gtg5f2hofkvz4hmqt2mu
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