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Using Big Data to Model Time-Varying Effects for Marketing Resource (Re)Allocation1
16 references·16 citing·42 second hopsampled
Using Big Data to Model Time-Varying Effects for Marketing Resource (Re)Allocation1 (2016)Using Big Data to Model Time-Varying Effe…Research Commentary —Too Big to Fail: Large Samples and the p -Value Problem (2013)Research Commentary —Too Big …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…A Control Function Approach to Endogeneity in Consumer Choice Models (2010)A Control Function Approach t…Do Satisfied Customers Buy More? Examining Moderating Influences in a Retailing Context (2005)Do Satisfied Customers Buy Mo…Measuring Marketing Productivity: Current Knowledge and Future Directions (2004)Measuring Marketing Productiv…A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)A Customer Lifetime Value Fra…Trading off between Value Creation and Value Appropriation: The Financial Implications of Shifts in Strategic Emphasis (2003)Trading off between Value Cre…Market Segmentation (2000)Market SegmentationEstimation in dynamic panel data models: improving on the performance of the standard GMM estimator (2000)Estimation in dynamic panel d…Initial conditions and moment restrictions in dynamic panel data models (1998)Initial conditions and moment…Customers' motivations for maintaining relationships with service providers (1997)Customers' motivations for ma…Initial conditions and moment restrictions in dynamic panel data models (1995)Initial conditions and moment…Another look at the instrumental variable estimation of error-components models (1995)Another look at the instrumen…Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Customer Loyalty: Toward an I…The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations (1988)The Moderating Effect of Prio…Consumer Learning: Advertising and the Ambiguity of Product Experience (1986)Consumer Learning: Advertisin…Digital Technologies and Supply Chain Resilience: A Resource-Action-Performance Perspective (2025)Digital Technologies and Supp…Good cause, not so good business? 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References

  • 1998Initial conditions and moment restrictions in dynamic panel data models22,547 cited
  • 1995Another look at the instrumental variable estimation of error-components models19,861 cited
  • 1995Initial conditions and moment restrictions in dynamic panel data models14,749 cited
  • 1994Customer Loyalty: Toward an Integrated Conceptual Framework6,599 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 1997Customers' motivations for maintaining relationships with service providers1,604 cited
  • 1988The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations1,225 cited
  • 2004Measuring Marketing Productivity: Current Knowledge and Future Directions1,114 cited
  • 2010A Control Function Approach to Endogeneity in Consumer Choice Models1,098 cited
  • 2013Research Commentary —Too Big to Fail: Large Samples and the p -Value Problem969 cited
  • 2004A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy948 cited
  • 2005Do Satisfied Customers Buy More? Examining Moderating Influences in a Retailing Context943 cited
  • 2003Trading off between Value Creation and Value Appropriation: The Financial Implications of Shifts in Strategic Emphasis939 cited
  • 1986Consumer Learning: Advertising and the Ambiguity of Product Experience

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908 cited
  • 2000Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator801 cited
  • 2000Market Segmentation780 cited
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