A Study on the Determinants of Continuance Usage of Pervasive BIS

博士 === 國立中央大學 === 資訊管理學系 === 103 === To cope with the huge data flow in today’s uncertain economic environment, many organizations have adopted pervasive business intelligence systems (BIS) to provide internal and external information to stakeholders at all working levels for their decision-making s...

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Bibliographic Details
Main Authors: Yang-ming Han, 韓揚銘
Other Authors: C.K. Farn
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/63357996360992686315
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Summary:博士 === 國立中央大學 === 資訊管理學系 === 103 === To cope with the huge data flow in today’s uncertain economic environment, many organizations have adopted pervasive business intelligence systems (BIS) to provide internal and external information to stakeholders at all working levels for their decision-making scenarios. However, the continued pervasive usage of BIS has become a practical challenge. The aim of this study is to build a model to explain the pervasive BIS user’s continued usage. In addition to Bhattacherjee’s original continued usage model and Limayem et al.’s model, we also include the concept of empowerment and causal attribution theory through individual intrinsic task motivation in the pervasive BIS context. The model was empirically tested using data from 133 respondents obtained from a two-stage questionnaire process asking questions designed to illuminate the situation of continued voluntary pervasive usage of BIS. The results support Bhattacherjee’s original continuance usage model and demonstrate that habit has a direct effect on pervasive BIS usage and acts as a moderator between continuance intention and usage. We also found that psychological empowerment has a direct effect on continuance intention and that causal attribution acts as a pure moderator between pervasive continuance BIS intention and continued usage behavior. This result clarifies the relationship between pervasive BIS continuance intention and continuance usage. Following by our survey, important theoretical and practical implications of these finding are discussed for researchers, system developers and managers.