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Predicting the Level of B2b E-Commerce in Industrial Organizations
Claycomb, Cindy - 2009
Business-to-business (B2B) e-commerce has gained insignificance throughout the business world, but little research has been doneregarding its viability, commercial potential, and impact on other businesses.This study investigates the firm, context, and innovation characteristics ofB2B...
Persistent link: https://www.econbiz.de/10013154208
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Predicting customer churn from valuable B2B customers in the logistics industry : a case study
Chen, Kuanchin; Hu, Ya-Han; Hsieh, Yi-Cheng - In: Information systems and e-business management : ISeB 13 (2015) 3, pp. 475-494
Persistent link: https://www.econbiz.de/10011373599
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Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Gordini, Niccolò; Veglio, Valerio - In: Industrial marketing management : the international … 62 (2017), pp. 100-107
Persistent link: https://www.econbiz.de/10011707072
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Futures prices as forecasts of commodity spot prices
Giles, David E. A.; Goss, Barry A. - 1980
Persistent link: https://www.econbiz.de/10000012349
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Bayesian inference for a periodic stochastic volatility model of intraday electricity prices
Smith, Michael Stanley - In: Statistical modelling and regression structures : …, (pp. 353-376). 2010
Persistent link: https://www.econbiz.de/10003964500
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The modeling and forecasting of extreme events in electricity spot markets
Herrera, Rodrigo; González, Nicolás - In: International journal of forecasting 30 (2014) 3, pp. 477-490
Persistent link: https://www.econbiz.de/10010511552
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An empirical comparison of alternative schemes for combining electricity spot price forecasts
Nowotarski, Jakub; Raviv, Eran; Trück, Stefan; Weron, … - In: Energy economics 46 (2014), pp. 395-412
Persistent link: https://www.econbiz.de/10011298964
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Forecasting financial and macroeconomic variables : shrinkage, dimension reduction, and aggregation
Raviv, Eran - 2014
Persistent link: https://www.econbiz.de/10010258365
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Artificial neural networks for spot electricity price forecasting : a review
Vijayalakshmi, Sedidi; Girish, Godekere Panchakshara Murthy - In: International Journal of Energy Economics and Policy : IJEEP 5 (2015) 4, pp. 1092-1097
Persistent link: https://www.econbiz.de/10011456481
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Regression tree model versus Markov regime switching : a comparison for electricity spot price modelling and forecasting
Samitas, Aristeidis; Armenatzoglou, Aggelos - In: Operational research : an international journal 14 (2014) 3, pp. 319-340
Persistent link: https://www.econbiz.de/10010413087