The Study on Value System of Buddhistic Commerce － An Example of Digital Opportunity Center

• Main Authors: Mei-Tsai Wu, 巫美采
• Other Authors: Tarng-Yao Yang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/11881097460392998615

碩士 === 南台科技大學 === 資訊管理系 === 97 === The problems about digital divide had gradually been earned great attentions by international societies, and in order to further explain the social behavior of digital divide emerged from outlying villages, one of the purposes in this study is to define a proper noun – Buddhistic Commerce, " BC " for short, which is used to describe the communities' people in outlying villages how to advance their information-related capabilities through Digital Opportunity Centers (DOC) similar to nonprofit organizations government provides with financial assistance. Another purpose of this study is to utilize Means-ends Chain (MEC) to formulate the value system of the communities' people in outlying villages, and to explore the linkage relation of Hierarchical Value Maps (HVM) which is composed of Attribute-Consequence-Value structure. In order to validate the value system of BC, this study combines quantitative questionnaire derived from HVM with Structural Equation Modeling (SEM) method to proceed with validation of paths exist in HVM. In the HVM this study has established, there are 18 attribute items, 30 consequence items, and 19 value items. After factor analysis, we extract four factors from attribute layer (that is culture attribute, society attribute, education attribute and economics attribute), and seven factors from consequence layer (capabilities promotion, culture perception, interaction communication, friendship relation, society intercourse, efficiency promotion, economics promotion), and four factors from value layer (selfhood promotion, society achievement, culture identification, comfort life). By path analysis of SEM, the results reveal: we have nine significant paths in eleven paths from attribute layer to consequence layer, and three significant paths in four paths from consequence layer to consequence layer, and eventually nine significant paths in fourteen paths from consequence layer to value layer.