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A novel customer scoring model to encourage the use of mobile value added services
16 references·0 citing·55 second hop
A novel customer scoring model to encourage the use of mobile value added services (2011)A novel customer scoring model to encoura…Towards an understanding of the behavioral intention to use 3G mobile value-added services (2008)Towards an understanding of t…Service quality and customer satisfaction measurement of mobile value-added services: a conceptual review (2008)Service quality and customer …Quality of service parameters in cellular mobile communication (2006)Quality of service parameters…The use of data mining and neural networks for forecasting stock market returns (2005)The use of data mining and ne…Selection of mobile value-added services for system operators using fuzzy synthetic evaluation (2005)Selection of mobile value-add…Predicting box-office success of motion pictures with neural networks (2005)Predicting box-office success…An effective application of decision tree to stock trading (2005)An effective application of d…VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY (2002)VALUE CREATION IN MOBILE COMM…Measuring the impact of data mining on churn management (2001)Measuring the impact of data …Bankruptcy prediction (2000)Bankruptcy predictionCustomer list segmentation using the combined response model (1999)Customer list segmentation us…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…ATM user attitudes: a neural network analysis (1996)ATM user attitudes: a neural …Applying ethics to information technology issues (1995)Applying ethics to informatio…PREDICTING CORPORATE BANKRUPTCY USING FAILING FIRMS (1991)PREDICTING CORPORATE BANKRUPT…A Five-State Financial Distress Prediction Model (1987)A Five-State Financial Distre…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)Bankruptcy prediction using terminal failure processes (2014)Filter Rules and Stock-Market Trading (1966)Stock Returns, Real Activity, Inflation, and Money (1981)Fundamental Information Analysis (1993)Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees (2007)A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction (2010)Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators (2018)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Business conditions and expected returns on stocks and bonds (1989)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Forecasting daily stock market return using dimensionality reduction (2016)Systematic analysis and review of stock market prediction techniques (2019)Predicting Success of Theatrical Movies: An Empirical Study (1983)A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures (1996)Information, Blockbusters and Stars? A Study of the Film Industry (1997)Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data (2013)Whose and what chatter matters? The effect of tweets on movie sales (2013)Movie Reviews and Revenues: An Experiment in Text Regression (2018)Challenging strategic planning assumptions (1981)Using the new ACM code of ethics in decision making (1993)Has Technology Introduced New Ethical Problems? (1999)Aspects of the stakeholder concept and their implications for information systems development (2003)A Typology of Communicative Strategies in Online Privacy Policies: Ethics, Power and Informed Consent (2005)Conditional logit analysis of qualitative choice behavior (1972)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Earnings Management Response to Debt Covenant Violations and Debt Restructuring (2002)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Determinants and consequences of financial distress: review of the empirical literature (2018)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park (2015)Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016)Diffusion of Innovations 1 (2019)Why do people use food delivery apps (FDA)? A uses and gratification theory perspective (2019)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Why Satisfied Customers Defect (1995)Measuring the Customer Experience in Online Environments: A Structural Modeling Approach (2000)Predicting credit card customer churn in banks using data mining (2008)A big data analytics model for customer churn prediction in the retiree segment (2018)A Survey on Churn Analysis in Various Business Domains (2020)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)Consumer perceived value: The development of a multiple item scale (2001)Value creation in E‐business (2001)Linking perceived value and loyalty in location‐based mobile services (2005)Relationships and impacts of service quality, perceived value, customer satisfaction, and image: an empirical study (2008)The Role of Smartphones in Mediating the Touristic Experience (2011)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)
this work references cited by second hop

References

  • 1999Building Data Mining Applications for CRM599 cited
  • 2008Towards an understanding of the behavioral intention to use 3G mobile value-added services576 cited
  • 2005The use of data mining and neural networks for forecasting stock market returns465 cited
  • 2002VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY455 cited
  • 2005Predicting box-office success of motion pictures with neural networks299 cited
  • 1987A Five-State Financial Distress Prediction Model296 cited
  • 2000Bankruptcy prediction165 cited
  • 2001Measuring the impact of data mining on churn management146 cited
  • 1995Applying ethics to information technology issues145 cited
  • 2005An effective application of decision tree to stock trading126 cited
  • 1991PREDICTING CORPORATE BANKRUPTCY USING FAILING FIRMS104 cited
  • 2005Selection of mobile value-added services for system operators using fuzzy synthetic evaluation86 cited
  • 1999Customer list segmentation using the combined response model69 cited
  • 1996ATM user attitudes: a neural network analysis49 cited
  • 2008Service quality and customer satisfaction measurement of mobile value-added services: a conceptual review37 cited

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  • 2006Quality of service parameters in cellular mobile communication34 cited
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