Exploring customer consumption behavior across physical and e-channels–Application of nested logit model

碩士 === 國立中興大學 === 行銷學系所 === 101 === The competition between enterprises is getting more and more intense, and diversifies channels. General consumer behavior can be divided into two phases: 1. Data collection phase; 2. Actual transaction phase. If consumers』 two phases no matter consist in either...

Full description

Bibliographic Details
Main Authors: Yen-Ting Lai, 賴彥廷
Other Authors: Ming-Chih Tsai
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/49h5d7
id ndltd-TW-101NCHU5402040
record_format oai_dc
spelling ndltd-TW-101NCHU54020402019-05-15T21:02:31Z http://ndltd.ncl.edu.tw/handle/49h5d7 Exploring customer consumption behavior across physical and e-channels–Application of nested logit model 顧客跨虛實通路之消費行為探究-巢式羅吉特模式之應用 Yen-Ting Lai 賴彥廷 碩士 國立中興大學 行銷學系所 101 The competition between enterprises is getting more and more intense, and diversifies channels. General consumer behavior can be divided into two phases: 1. Data collection phase; 2. Actual transaction phase. If consumers』 two phases no matter consist in either virtual channel or physical channel, it''s called customer channel switching. But for past studies, few analyses study the factor of important service quality of virtual and physical channels. Besides, the two phases of consumer behavior still lack prediction models so that distributors cannot evaluate precisely the operation performance. This research analyzes the choice behavior of the two phases of consumer behavior. Revealed preference (RP) data is collected, and total 216 effective samples are received. We first derive, by factor analysis, the latent influential variables influencing subscribers』 choices of systems. Then, we use the RP data to construct individual choice model of systems by nested logit (NL) model. The results has shown that there are five service attributes will influence the choice on virtual and physical channels, including 「after sales service」, 「interaction quality」, 「profession trust」, 「goods and transaction」, and 「service environment and consumption identity」. Except for goods and transaction, other four factors have shown positive and significant relations. In the aspect of sensitivity analysis, when service attributes get improved or change, the combination of collecting data from virtual channel and purchase from physical channel is the most sensitive. According to the above conclusion, I hope this research can provide dealers suggestions and strategies on conducting business. Ming-Chih Tsai 蔡明志 2013 學位論文 ; thesis 48 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中興大學 === 行銷學系所 === 101 === The competition between enterprises is getting more and more intense, and diversifies channels. General consumer behavior can be divided into two phases: 1. Data collection phase; 2. Actual transaction phase. If consumers』 two phases no matter consist in either virtual channel or physical channel, it''s called customer channel switching. But for past studies, few analyses study the factor of important service quality of virtual and physical channels. Besides, the two phases of consumer behavior still lack prediction models so that distributors cannot evaluate precisely the operation performance. This research analyzes the choice behavior of the two phases of consumer behavior. Revealed preference (RP) data is collected, and total 216 effective samples are received. We first derive, by factor analysis, the latent influential variables influencing subscribers』 choices of systems. Then, we use the RP data to construct individual choice model of systems by nested logit (NL) model. The results has shown that there are five service attributes will influence the choice on virtual and physical channels, including 「after sales service」, 「interaction quality」, 「profession trust」, 「goods and transaction」, and 「service environment and consumption identity」. Except for goods and transaction, other four factors have shown positive and significant relations. In the aspect of sensitivity analysis, when service attributes get improved or change, the combination of collecting data from virtual channel and purchase from physical channel is the most sensitive. According to the above conclusion, I hope this research can provide dealers suggestions and strategies on conducting business.
author2 Ming-Chih Tsai
author_facet Ming-Chih Tsai
Yen-Ting Lai
賴彥廷
author Yen-Ting Lai
賴彥廷
spellingShingle Yen-Ting Lai
賴彥廷
Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
author_sort Yen-Ting Lai
title Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
title_short Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
title_full Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
title_fullStr Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
title_full_unstemmed Exploring customer consumption behavior across physical and e-channels–Application of nested logit model
title_sort exploring customer consumption behavior across physical and e-channels–application of nested logit model
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/49h5d7
work_keys_str_mv AT yentinglai exploringcustomerconsumptionbehavioracrossphysicalandechannelsapplicationofnestedlogitmodel
AT làiyàntíng exploringcustomerconsumptionbehavioracrossphysicalandechannelsapplicationofnestedlogitmodel
AT yentinglai gùkèkuàxūshítōnglùzhīxiāofèixíngwèitànjiūcháoshìluójítèmóshìzhīyīngyòng
AT làiyàntíng gùkèkuàxūshítōnglùzhīxiāofèixíngwèitànjiūcháoshìluójítèmóshìzhīyīngyòng
_version_ 1719107330254045184