Demand functions in decision modeling : a comprehensive survey and research directions

Jian HUANG, Mingming LENG, Mahmut PARLAR

Research output: Journal PublicationsJournal Article (refereed)peer-review

260 Citations (Scopus)

Abstract

A variety of mathematical forms have been developed to characterize demand functions which depend on a firm's operational and marketing activities. Such demand functions are being increasingly used by researchers in economics and different functional areas of business. We provide a comprehensive survey of commonly used demand models which depend on (i) price, (ii) rebate, (iii) lead time, (iv) space, (v) quality, and (vi) advertising. Our survey includes single firm–demand models in each category, as well as game theoretic multifirm models involving strategic interaction among the firms. We observe that certain types of functional forms, such as linear, power/iso-elastic, multinomial logit, and multiplicative competitive interaction, have been widely used to construct various demand models in all six categories, but that a large majority of publications deal with categories (i) and (v) of demand models. For each of the six categories, we survey relevant functional forms in the representative papers, and discuss the main properties, the advantages, the disadvantages, and comment on possible future research directions. We also present discussions of the applications of these analytical demand models in empirical studies. The article ends with a summary of our major findings.
Original languageEnglish
Pages (from-to)557-609
Number of pages53
JournalDecision Sciences
Volume44
Issue number3
Early online date19 Jun 2013
DOIs
Publication statusPublished - Jun 2013

Funding

The first author (Jian Huang) was supported by the National Natural Science Foundation of China under the project reference numbers 70901036 and 70861002.

Keywords

  • Advertising
  • Demand Function
  • Empirical Study
  • Lead Time
  • Price
  • Quality
  • Rebate
  • Space

Fingerprint

Dive into the research topics of 'Demand functions in decision modeling : a comprehensive survey and research directions'. Together they form a unique fingerprint.

Cite this