Paper Type
Complete Research Paper
Description
While IS success research has gained considerable attention within academia in the past, understanding its constitunts and the relationships among them has also emerged within professional fields. Since extant inquiries on the relationships among IS success dimensions have produced equivocal findings, the need to address IS success in the context of specific technologies has been regularly highlighted. Within business intelligence (BI) field one such pervasive technology gaining considerable attention is mobile BI (m-BI). \ \ Despite the recognized valu that m-BI brings to firms, our understanding of the success of m-BI is limited. To address this gap, we conducted a quantitative study of key informants using m-BI, employing multiple data collection methods to understand what the key m-BI capabilities are and other success dimensions being perceived as important by users, and how they can be assessed. \ \ Our contribution to the BI and IT business valu literature is twofold. First, our results highlight the users´ perceptions about m-BI capabilities that are deemed important for increasing satisfaction with m-BI and its use. Second, while these capabilities have a relatively high explanatory power for user satisfaction, their power to explain m-BI use is found to be rather low, suggesting there are other unobserved organizational characteristics importantly affecting m-BI usage behaviour, thus calling for further investigation.
THE ROLE OF MOBILE BI CAPABILITIES IN MOBILE BI SUCCESS
While IS success research has gained considerable attention within academia in the past, understanding its constitunts and the relationships among them has also emerged within professional fields. Since extant inquiries on the relationships among IS success dimensions have produced equivocal findings, the need to address IS success in the context of specific technologies has been regularly highlighted. Within business intelligence (BI) field one such pervasive technology gaining considerable attention is mobile BI (m-BI). \ \ Despite the recognized valu that m-BI brings to firms, our understanding of the success of m-BI is limited. To address this gap, we conducted a quantitative study of key informants using m-BI, employing multiple data collection methods to understand what the key m-BI capabilities are and other success dimensions being perceived as important by users, and how they can be assessed. \ \ Our contribution to the BI and IT business valu literature is twofold. First, our results highlight the users´ perceptions about m-BI capabilities that are deemed important for increasing satisfaction with m-BI and its use. Second, while these capabilities have a relatively high explanatory power for user satisfaction, their power to explain m-BI use is found to be rather low, suggesting there are other unobserved organizational characteristics importantly affecting m-BI usage behaviour, thus calling for further investigation.