Deconstructing Each Item’s Category Contribution

Published Online:https://doi.org/10.1287/mksc.1070.0270

References

  • A. C. NielsenConsumer-Centric Category Management: How to Increase Profits by Managing Categories Based on Consumer Needs (2005) (Wiley, Hoboken, NJ) Google Scholar
  • Anupindi R., Dada M., Gupta S. Estimation of consumer demand with stock-out based substitution: An application to vending machine products. Marketing Sci. (1998) 17:406–423LinkGoogle Scholar
  • Bass F. M., Krishnamoorthy A., Prasad A., Sethi S. P. Generic and brand advertising strategies in a dynamic duopoly. Marketing Sci. (2005) 24(4):556–568LinkGoogle Scholar
  • Berlyne D. E.Conflict, Arousal, and Curiosity (1960) (McGraw-Hill, New York) CrossrefGoogle Scholar
  • Boatwright P., Nunes J. C. Reducing assortment: An attribute-based approach. J. Marketing (2001) 65(July):50–63CrossrefGoogle Scholar
  • Boatwright P., Borle S., Kadane J. B. A model of the joint distribution of purchase quantity and timing. J. Amer. Statist. Assoc. (2003) 98:564–572CrossrefGoogle Scholar
  • Borle S., Boatwright P., Kadane J. B., Nunes J. C., Shmueli G. The effect of product assortment changes on customer retention. Marketing Sci. (2005) 24(4):616–622LinkGoogle Scholar
  • Broniarczyk S. M., Hoyer W. D., McAlister L. Consumers’ perceptions of the assortment offered in a grocery category: The impact of item reduction. J. Marketing Res. (1998) 35(May):166–176CrossrefGoogle Scholar
  • Casella G., George E. I. Explaining the Gibbs sampler. Amer. Statistician (1992) 49(4):327–335Google Scholar
  • Conway R. W., Maxwell W. L. A queuing model with state dependent service rate. J. Indust. Engrg. (1961) 12:132–146Google Scholar
  • Drèze X., Hoch S. J., Purk M. E. Shelf management and space elasticity. J. Retailing (1994) 70(4):301–326CrossrefGoogle Scholar
  • Fisher M., Rajaram K., Raman A. Optimizing inventory replenishment of retail fashion products. Manufacturing Service Oper. Management (2001) 3(3):230–241LinkGoogle Scholar
  • Gelfand A. E., Smith A. F. M. Sampling based approaches to calculating marginal densities. J. Amer. Statist. Assoc. (1990) 85:398–409CrossrefGoogle Scholar
  • Helson H.Adaptation-Level Theory (1964) (Harper and Row, New York) Google Scholar
  • Herpen E. V., Pieters R. The variety of an assortment: An extension to the attribute-based approach. Marketing Sci. (2002) 21:331–341LinkGoogle Scholar
  • Hoch S. J., Bradlow E. T., Wansink B. The variety of an assortment. Marketing Sci. (1999) 18:527–546LinkGoogle Scholar
  • Iyengar S. S., Lepper M. R. When choice is demotivating: Can one desire too much of a good thing? J. Personality Soc. Psych. (2000) 79(December):995–1006CrossrefGoogle Scholar
  • Kahn B. E. Consumer variety-seeking among goods and services: An integrative review. J. Retailing Consumer Services (1995) 2(3):139–148CrossrefGoogle Scholar
  • Kahn B. E., Lehmann D. R. Modeling choice among assortments. J. Retailing (1991) 67(Fall):274–299Google Scholar
  • Kalyanam K., Putler D. S. Incorporating demographic variables in brand choice models: An indivisible alternatives approach. Marketing Sci. (1997) 16(2):166–181LinkGoogle Scholar
  • Kim J., Allenby G. M., Rossi P. E. Modeling consumer demand for variety. Marketing Sci. (2002) 21(3):229–250LinkGoogle Scholar
  • Koopmans T. C., Shelly M. W., Bryan G. L. On the flexibility of future preferences. Human Judgment and Optimality (1964) (Wiley, New York) Google Scholar
  • Kreps D. M. A representation theorem for preference for flexibility. Econometrica (1979) 47(3):565–577CrossrefGoogle Scholar
  • Lattin J., Roberts J. H. Testing for probabilistic independence in consideration of ready-to-eat cereals. (1992) . Stanford Graduate School of Business Working Paper, Stanford, CAGoogle Scholar
  • Levy M., Weitz B.Retailing Management (2004) (McGraw Hill, Chicago, IL) Google Scholar
  • Manchanda P., Rossi P. E., Chintagunta P. K. Response modeling with non-random marketing mix variables. J. Marketing Res. (2005) 41(November):467–478Google Scholar
  • McAlister L., Pessemier E. Variety seeking behavior: An interdisciplinary review. J. Consumer Res. (1982) 9(3):311–322CrossrefGoogle Scholar
  • Reibstein D. J., Youngblood S. A., Fromkin H. L. Number of choices and perceived decision freedom as a determinant of satisfaction and consumer behavior. J. Appl. Psych. (1975) 60(4):434–437CrossrefGoogle Scholar
  • Shmueli G., Minka T. P., Kadane J. B., Borle S., Boatwright P. A useful distribution for fitting discrete data: Revival of the COM-Poisson. J. Roy. Statist. Soc., Series C (2005) 54(1):127–142CrossrefGoogle Scholar
  • Singh V. P., Hansen K. T., Blattberg R. C. Market entry and consumer behavior: An investigation of a Wal-Mart supercenter. Marketing Sci. (2006) 25(5):457–476LinkGoogle Scholar
  • Smith S. A., Achabal D. D. Clearance pricing and inventory policies for retail chains. Management Sci. (1997) 44(3):285–300LinkGoogle Scholar
  • Smith S. A, Agrawal N. Management of multi-item retail inventory systems with demand substitution. Naval Res. Logist. Quart. (2000) 48(1):50–64Google Scholar
  • Smith S. A., McIntyre S. H., Achabal D. D. A two stage sales forecasting procedure using discounted least squares. J. Marketing Res. (1994) 31:44–56CrossrefGoogle Scholar
  • Sun B. Promotion effect on endogenous consumption. Marketing Sci. (2005) 24(3):430–443LinkGoogle Scholar
  • Tanner M. A., Wong W. H. The calculation of posterior distributions by data augmentation. J. Amer. Statist. Assoc. (1987) 82(398):528–540CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.