The Emergence of Market Structure in New Repeat-Purchase Categories: The Interplay of Market Share and Retailer Distribution

By Bart J. Bronnenberg, Vijay Mahajan, Wilfried R. Vanhonacker. 2000

194 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/212a73c94a05cf90acee5ea0891e7db00e299758

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Citations in the corpus

Who Benefits from Store Brand Entry (2004, unknown): “In recent years, time-series methods such as unit-root tests and cointegration tests, vector auto-regressive models (VARX) and vector error-correction models (VECM), have emerged to quantify the long-run impact of marketing activity (Dekimpe and Hanssens 1999; Bronnenberg et al. 2000).”
Do Promotions Benefit Manufacturers, Retailers, or Both? (2002, methodology): “The former approach is adopted in most individual-choice models (see, e.g., Bucklin et al. 1998), while the latter is reflected in PROMOCAST (Cooper et al. 1999), SCAN*PRO (Foekens et al. 1999), and recent VAR-based studies (e.g., Bronnenberg et al. 2000, Nijs et al. 2001).”
Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices (2009, background): “Dekimpe and Hanssens (1999), Bronnenberg et al. (2000), and Nijs et al. (2007) provide outstanding examples of VAR applications in marketing, while Campbell and Shiller (1988) and Statman et al. (2006) offer exceptional examples of VAR studies in finance.”
Market share response and competitive interaction: The impact of temporary, evolving and structural changes in prices (2000, background): “Bronnenberg et al. 2000 Weekly grocery data 1991–1996 VAR Distribution influences long-run share, through Ž .”
Understanding Large-Scale Dynamic Purchase Behavior (2020, unknown): “…parameter αibm can be interpreted as a measure of the (latent) relevance of motivation m in the bth shopping trip of customer i, similar to latent utilities in market share attraction models (Bronnenberg et al. 2000) or the utility-based specification of the multinomial logit model (Train 2009).”
The Category-Demand Effects of Price Promotions (2000, methodology): “(1999) in a single-equation setting) or by adopting a moving-window operationalization, as implemented by Bronnenberg et al. (2000). Third, our approach to quantifying competitive reactivity, although flexible in capturing dynamics, does not provide insights into why competitors act the way they do.”
Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship (2007, background): “The term wearout refers to the decay in advertising quality of an ad over time (Grass and Wallace 1969, Strong 1972, Calder and Sternthal 1980, Simon 1982). An ad is worn out if it either does not have any significant effect on consumers or has a negative effect. Both wearin and wearout effects depe”
Time-series models in marketing:: Past, present and future (2000, methodology): “See, e.g., Bronnenberg et al. 2000 , Dekimpe et al. 1999 , Ž .”
The Impact of Marketing-Induced versus Word-of-Mouth Customer Acquisition on Customer Equity Growth (2008, methodology): “Although VAR models and IRFs have been introduced to the marketing literature in a marketing-mix context (e.g., Bronnenberg, Mahajan, and Vanhonacker 2000; Dekimpe and Hanssens 1995a; Nijs et al. 2001), we use them to assess how one unexpected customer acquisition affects customer equity over time.”
Competitive Reactions to Advertising and Promotion Attacks (2005, methodology): “From these VARX models, impulse-response functions (IRFs) are derived that trace the over-time incremental effect of a competitive action (see Bronnenberg et al. 2000 or Dekimpe and Hanssens 1999 for a detailed exposition). Previous literature has defined marketing actions in two ways:4 (i) in absol”