A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation
碩士 === 元智大學 === 工業工程與管理學系 === 104 === SIPS (Sympathize-Identify-Participate-Share & Spread) is a model constructed by Dentsu for studying consumer purchase behavior. It depicts the psychology of purchase path from: sympathize, identify product to meet the needs, participate, share and spread to...
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ndltd-TW-104YZU050310512017-08-20T04:07:26Z http://ndltd.ncl.edu.tw/handle/38771203504730016139 A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation 社群媒體對於消費者購買行為演化過程之影響及其系統動態模擬研究 Yu-An Chen 陳昱安 碩士 元智大學 工業工程與管理學系 104 SIPS (Sympathize-Identify-Participate-Share & Spread) is a model constructed by Dentsu for studying consumer purchase behavior. It depicts the psychology of purchase path from: sympathize, identify product to meet the needs, participate, share and spread to friends and family around. In recent years, due to the booming Internet community media, consumers are more likely to exchange views and ideas with friends online and recommendation from friend communities has became one of the more credible indicators for purchase decision. Social media marketing is also being used as a product of the media and the key to success in this medium is that the message is based on information from trust-worthy source. This study is to explore the impact of social media SIPS model for the evolution of consumer purchase behavior and the change process with the use of system dynamics theory to establish a causal-effect-feedback model. A simulated case study is performed to verify the compliance with current consumer purchase patterns and confirm the validity of the model as well as quantitative assessment of consumer purchase behavior. Hen-yi Jen 任恒毅 2016 學位論文 ; thesis 82 zh-TW |
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碩士 === 元智大學 === 工業工程與管理學系 === 104 === SIPS (Sympathize-Identify-Participate-Share & Spread) is a model constructed by Dentsu for studying consumer purchase behavior. It depicts the psychology of purchase path from: sympathize, identify product to meet the needs, participate, share and spread to friends and family around. In recent years, due to the booming Internet community media, consumers are more likely to exchange views and ideas with friends online and recommendation from friend communities has became one of the more credible indicators for purchase decision. Social media marketing is also being used as a product of the media and the key to success in this medium is that the message is based on information from trust-worthy source. This study is to explore the impact of social media SIPS model for the evolution of consumer purchase behavior and the change process with the use of system dynamics theory to establish a causal-effect-feedback model. A simulated case study is performed to verify the compliance with current consumer purchase patterns and confirm the validity of the model as well as quantitative assessment of consumer purchase behavior.
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author2 |
Hen-yi Jen |
author_facet |
Hen-yi Jen Yu-An Chen 陳昱安 |
author |
Yu-An Chen 陳昱安 |
spellingShingle |
Yu-An Chen 陳昱安 A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
author_sort |
Yu-An Chen |
title |
A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
title_short |
A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
title_full |
A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
title_fullStr |
A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
title_full_unstemmed |
A Study on the Impacts of Social Media upon Consumer Purchase Behavior and Its System Dynamics Simulation |
title_sort |
study on the impacts of social media upon consumer purchase behavior and its system dynamics simulation |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/38771203504730016139 |
work_keys_str_mv |
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