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Chintagunta
Response modeling with non-random marketing mix variables[PDF] from umich.edu…, P Rossi, P Chintagunta - 2003 - papers.ssrn.com Abstract: Sales response models are widely used as the basis for optimizing the marketing mix or for allocation of the sales force. Response models condition on the observed marketing mix variables and focus on the specification of the distribution of observed sales ... Cited by 130 - Related articles - BL Direct - All 29 versions
Return on investment implications for pharmaceutical promotional expenditures: The role of marketing-mix interactions[PDF] from cmu.edu…, R Desiraju, PK Chintagunta - Journal of Marketing, 2004 - JSTOR ... and Pradeep K. Chintagunta is Robert Law Professor of Marketing (e- mail: pradeep.chintagunta@ gsb.uchicago.edu ... As Gatignon and Hanssens (1987, p. 257) point out, the optimal resource allocations that arise from models that account for marketing-mix interactions ... Cited by 106 - Related articles - BL Direct - All 16 versions
Investigating heterogeneity in brand preferences in logit models for panel dataPK Chintagunta, DC Jain… - Journal of Marketing Research, 1991 - JSTOR ... Such a comparative *Pradeep K. Chintagunta is Assistant Professor, SC ... Uiit = V,i + Eijt. The deterministic component Vi, consists of a systematic part Xij, (where Xij, is a vector of marketing mix vari- ables or covariates confronting the panelist i on choice occasion t and p is a ... Cited by 286 - Related articles - All 2 versions
On using demographic variables to determine segment membership in logit mixture models[PDF] from cornell.edu…, PK Chintagunta - Journal of Marketing Research, 1994 - JSTOR ... Pradeep K. Chintagunta is an Assistant Professor of Marketing, SC Johnson Graduate School of Management, Corell ... associated with the K brands by households in segment s and P, is the parameter vector associated with the vec- tor of marketing (explanatory) variables X^t ... Cited by 244 - Related articles - BL Direct - All 3 versions
Investigating purchase incidence, brand choice and purchase quantity decisions of householdsPK Chintagunta - Marketing Science, 1993 - JSTOR ... 12 See Vilcassim and Chintagunta ( 1992) for a characterization of the retailer's problem ... approach is to first obtain the utility that the household gets by maximizing its direct utility function subject to the budget constraint at the given level of marketing variables it ... ij,, y i = +, + P( + 0 ... Cited by 247 - Related articles - BL Direct - All 8 versions
[CITATION] Customer value assessment in business markets…, DC Jain, PK Chintagunta - … -to-Business Marketing, 1992 - Routledge Cited by 271 - Related articles - Library Search
Investigating household state dependence effects across categories…, A Ainslie, PK Chintagunta - Journal of Marketing …, 1999 - JSTOR ... if the household waits longer to make its next pur- chase in the category (Roy, Chintagunta, and Haldar 1996). ... (3) Ujt = X t + ?jt where the vector P is given ... Because marketing variables of brands change over time, the proposed model formulation accounts for nonstationari- ty in ... Cited by 156 - Related articles - BL Direct - All 4 versions
Manufacturer-retailer channel interactions and implications for channel power: An empirical investigation of pricing in a local market[HTML] from repec.orgV Kadiyali, P Chintagunta… - Marketing Science, 2000 - JSTOR The issue of" power" in the marketing channels for consumer products has received considerable attention in both academic and practitioner journals as well as in the popular press. Our objective in this paper is to provide an empirical method to measure the power ... Cited by 193 - Related articles - BL Direct - All 13 versions
Heterogeneous logit model implications for brand positioningPK Chintagunta - Journal of Marketing Research, 1994 - JSTOR ... Parametric Distribution Parametric Distribution Covariance Matrix General McCulloch and Rossi Chintagunta, Kamakura (1992) Jain, and and Russell Vilcassim (1989); (1991), Chintagunta, Gonul and ... Page 3. JOURNAL OF MARKETING RESEARCH, MAY 1994 ... (8) p ij = exp ... Cited by 120 - Related articles - BL Direct - All 2 versions
The effect of banner advertising on internet purchasing[PDF] from biznespolska.pl…, KY Goh, PK Chintagunta - Journal of Marketing …, 2006 - Am Marketing Assoc Abstract This article focuses on whether banner advertising affects purchasing patterns on the Internet. Using a behavioral database that consists of customer purchases at a Web site along with individual advertising exposure, the authors measure the impact of banner ... Cited by 108 - Related articles - BL Direct - All 21 versions
Investigating category pricing behavior at a retail chain[PDF] from 210.212.115.113PK Chintagunta - Journal of Marketing Research, 2002 - JSTOR ... of Marketing, Graduate School of Business, University of Chicago (e-mail: pradeep.chintagunta @gsb.uchicago ... retailer's problem is to choose the vector of prices in week t, p, = (pt, P2t ... The extant marketing literature (see, eg, BGJ; Raju, Sethu- raman, and Dhar 1995; Zenor 1994 ... Cited by 140 - Related articles - BL Direct - All 15 versions
A Bayesian model to forecast new product performance in domestic and international markets[HTML] from repec.org…, P Chintagunta - Marketing Science, 1999 - JSTOR This paper attempts to shed light on the following research questions: When a firm introduces a new product (or service) how can it effectively use the different information sources available to generate reliable new product performance forecasts? How can the ... Cited by 176 - Related articles - BL Direct - All 14 versions
A framework for investigating habits," the hand of the past," and heterogeneity in dynamic brand choiceR Roy, PK Chintagunta… - Marketing Science, 1996 - JSTOR ... Fi- nally if p * 0 but 0 = 0, we have the BJW class of models. Hence, a host of extant model formulations are nested within our general specification of the LB model. MARKETING SCIENCE/Vol. 15, No. 3, 1996 285 Page 7. ROY, CHINTAGUNTA, AND HALDAR Framework ... Cited by 125 - Related articles - BL Direct - All 7 versions
A random-coefficients logit brand-choice model applied to panel data…, NJ Vilcassim, PK Chintagunta - Journal of Business & Economic …, 1994 - JSTOR ... would yield additional insights that would have managerial implications for design- ing effective marketing strategies. ... Jain, Vilcassim, and Chintagunta: Random-Coefficients Logit Model 319 ... the unconditional probability of buying brand j on purchase occasion t will be P (j) = Je ... Cited by 131 - Related articles - BL Direct - All 5 versions
Empirical analysis of indirect network effects in the market for personal digital assistants[PDF] from stanford.eduH Nair, P Chintagunta… - Quantitative Marketing and Economics, 2004 - Springer We present a framework to measure empirically the size of indirect network effects in high- technology markets with competing incompatible technology standards. These indirect network effects arise due to inter-dependence in demand for hardware and compatible ... Cited by 126 - Related articles - Library Search - BL Direct - All 29 versions
An empirical investigation of advertising strategies in a dynamic duopolyPK Chintagunta… - Management science, 1992 - JSTOR ... The use of differential games in this regard has been a significant contribution to the marketing literature (Rao ... 1234 PRADEEP K. CHINTAGUNTA AND NAUFEL J. VILCASSIM ... the advertising expenditures ai over time, given knowledge of the model parameters kl, k2, p and gi. ... Cited by 107 - Related articles - All 8 versions
Investigating dynamic multifirm market interactions in price and advertising…, V Kadiyali, PK Chintagunta - Management Science, 1999 - JSTOR ... 503 Page 6. VILCASSIM, KADIYALI, AND CHINTAGUNTA Dynamic Mult/ifrm Market Interactions the same marketing instrument for which the firm is determining its equilibrium value. From Equations (8) and (9), these are: Simple, Contemporaneous Price Conjecture ... Cited by 101 - Related articles - BL Direct - All 9 versions |
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