Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites

碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 101 === Internet popularity has prompted the rise of online shopping, whose easy, fast and free from time and place way of shopping reduces a lot consumers’ time and cost on product information gathering. Nowadays, consumers are increasingly price sensitive, which ca...

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Main Authors: Hui-Ju Tsai, 蔡蕙如
Other Authors: Yi-Ju Yen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/9xx3yt
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spelling ndltd-TW-101NTTI56910052019-09-24T03:34:03Z http://ndltd.ncl.edu.tw/handle/9xx3yt Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites 以類神經網路探討價格促銷組合對網路消費者購買意願的影響-以服裝購物網為例 Hui-Ju Tsai 蔡蕙如 碩士 國立臺中科技大學 流通管理系碩士班 101 Internet popularity has prompted the rise of online shopping, whose easy, fast and free from time and place way of shopping reduces a lot consumers’ time and cost on product information gathering. Nowadays, consumers are increasingly price sensitive, which causes manufacturers to carry out a variety of different price promotions in order to increase sales. However, too many promotional activities may only make consumers nonresponsive to, or even have a negative perception of those promotions. So, how to conduct an effective and appropriate price promotion has become an important issue. The research constructs in this study cover the price promotion mix (direct price reduction, discount with purchase of certain amount, coupons, free shipping, discount level and discount frequency), life style and consumer purchase intention. This study first uses factor analysis to divide life style into three kinds of market segmentation: Internet usage level, careful spending level and social network message attraction level. Then, this study uses the Back-Propagation Network to explore the effects of price promotion mix on consumer purchase intention in the three market segments. Thus, applicable price promotion mix can be identified for each market segment, and the clothing industry can use the results to form an effective marketing strategy. The results show that all subject consumers prefer direct price reduction, and free shipping has a greater appeal to them. Consumers of lower level of careful spending prefer coupons, and discount with purchase of certain amount shows greater appeal to them. Consumers of higher level of social network message attraction have no preference on various manners of discount, but free shipping promotion is more attractive to them. Consumers of lower degree of internet usage prefer direct price reduction, but various promotional tools are not very attractive to them. Consumers of higher level of internet usage and careful spending as well as consumers of lower level of social network message attraction prefer direct price reduction, and discount with purchase of certain amount and free shipping are attractive promotional tools to them. In addition, every group is most concerned about the discount level and the discount frequency. It is recommended that vendors offer discounts at a higher frequency and of a larger magnitude as a major incentive to attract consumers. Yi-Ju Yen 顏憶茹 2013 學位論文 ; thesis 77 zh-TW
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language zh-TW
format Others
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description 碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 101 === Internet popularity has prompted the rise of online shopping, whose easy, fast and free from time and place way of shopping reduces a lot consumers’ time and cost on product information gathering. Nowadays, consumers are increasingly price sensitive, which causes manufacturers to carry out a variety of different price promotions in order to increase sales. However, too many promotional activities may only make consumers nonresponsive to, or even have a negative perception of those promotions. So, how to conduct an effective and appropriate price promotion has become an important issue. The research constructs in this study cover the price promotion mix (direct price reduction, discount with purchase of certain amount, coupons, free shipping, discount level and discount frequency), life style and consumer purchase intention. This study first uses factor analysis to divide life style into three kinds of market segmentation: Internet usage level, careful spending level and social network message attraction level. Then, this study uses the Back-Propagation Network to explore the effects of price promotion mix on consumer purchase intention in the three market segments. Thus, applicable price promotion mix can be identified for each market segment, and the clothing industry can use the results to form an effective marketing strategy. The results show that all subject consumers prefer direct price reduction, and free shipping has a greater appeal to them. Consumers of lower level of careful spending prefer coupons, and discount with purchase of certain amount shows greater appeal to them. Consumers of higher level of social network message attraction have no preference on various manners of discount, but free shipping promotion is more attractive to them. Consumers of lower degree of internet usage prefer direct price reduction, but various promotional tools are not very attractive to them. Consumers of higher level of internet usage and careful spending as well as consumers of lower level of social network message attraction prefer direct price reduction, and discount with purchase of certain amount and free shipping are attractive promotional tools to them. In addition, every group is most concerned about the discount level and the discount frequency. It is recommended that vendors offer discounts at a higher frequency and of a larger magnitude as a major incentive to attract consumers.
author2 Yi-Ju Yen
author_facet Yi-Ju Yen
Hui-Ju Tsai
蔡蕙如
author Hui-Ju Tsai
蔡蕙如
spellingShingle Hui-Ju Tsai
蔡蕙如
Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
author_sort Hui-Ju Tsai
title Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
title_short Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
title_full Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
title_fullStr Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
title_full_unstemmed Applying artificial neural network to the impact of price promotion mix on consumer purchase intention: A case of clothing online shopping sites
title_sort applying artificial neural network to the impact of price promotion mix on consumer purchase intention: a case of clothing online shopping sites
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/9xx3yt
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