Applying dynamic Bayesian tree in property sales price estimation

Author(s):  
Mehrdad Ziaee Nejad ◽  
Jie Lu ◽  
Vahid Behbood
2017 ◽  
Vol 51 (9/10) ◽  
pp. 1597-1611 ◽  
Author(s):  
Rajesh Kumar Sinha ◽  
Atanu Adhikari

Purpose This paper aims to investigate the influence of advertised reference price (ARP) and sales price (SP) as anchor points on the latitude of expected price, and subsequently on purchase intention (PI). The research involves the theoretical lens of selective anchoring mechanism, which allows investigation of the influence of ARP and SP in a situation where price estimation task is a “non-thoughtful processes”. Design/methodology/approach On the basis of quasi-experimental design, the study involves intercept survey of 142 shoppers. Findings The study finds that due to anchoring effect, the highest and the lowest expected prices shift toward ARP and SP, respectively. Consequently, it influences the latitude of expected price, which in turn influences purchase intention. In addition, the study proposes and tests a method to forecast expansion and contraction of the latitude of expected price. Research limitations/implications It suggests a new mechanism to understand the simultaneous influence of ARP and SP, provides a mechanism to understand shifts in price latitude’s end-points and investigates a phenomenon with two externally provided anchors. Practical implications The study highlights the role of the latitude of expected price in understanding consumers’ response. Results suggest that a plausible ARP, when joined with an above-expectation SP, can fetch better consumer responses. Originality/value The study uniquely investigates a problem with two anchor points and two estimation targets, and proposes a construct of internal price uncertainty (IPU).


2019 ◽  
Vol 18 (1) ◽  
pp. 181-202
Author(s):  
Hyun Rim Ko ◽  
Jae Young Yu ◽  
Young Sik Youn

Sign in / Sign up

Export Citation Format

Share Document